Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-23T16:48:00.700Z Has data issue: false hasContentIssue false

From dreamers to doers: A personal and job resources interaction among intrapreneurial managers

Published online by Cambridge University Press:  18 October 2024

Rrezon Lajçi
Affiliation:
Technische Universität Ilmenau, Department of Economic Sciences and Media, Management/Organization Research Group, Ilmenau, Germany
Gentrit Berisha*
Affiliation:
University of Prishtina, Department of Management, Prishtina, Kosovo
Norbert Bach
Affiliation:
Technische Universität Ilmenau, Department of Economic Sciences and Media, Management/Organization Research Group, Ilmenau, Germany
*
Corresponding author: Gentrit Berisha; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Drawing on job-demands resources and self-consistency theories, this study investigates individual and contextual factors influencing managers’ intrapreneurial intention (INI). We focus on the role of personal resources (organization-based self-esteem and proactivity) related to INI. Further, we analyze job resources (top management support and role clarity) shaping INI, and their interaction with proactivity. Our data comprises 193 Kosovan managers employed in companies varying in size and industry. The results show that organization-based self-esteem and proactivity are positively related to INI. Additionally, proactivity serves as the underlying mechanism, mediating organization-based self-esteem-INI relationship. Furthermore, job resources – top management support and role clarity – strengthen the likelihood of INI among proactive employees, suggesting a moderated mediation model.

By jointly examining individual and contextual antecedents of INI, this study contributes to the debate of who the intrapreneur is and what nurtures his/her inclinations. Furthermore, this is among the few studies to examine INI using a managerial sample and in an emerging economy context.

Type
Research Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press in association with Australian and New Zealand Academy of Management.

Introduction

Intrapreneurship is an important topic for practitioners and academics (Blanka, Reference Blanka2019; Neessen, Caniëls, Vos, & De Jong, Reference Neessen, Caniëls, Vos and De Jong2019; Perlines, Ariza-Montes, & Blanco-González-Tejero, Reference Perlines, Ariza-Montes and Blanco-González-Tejero2022). Numerous authors contemplate intrapreneurship as the equivalent of entrepreneurship, which occurs within an existing organization (e.g., Antoncic & Hisrich, Reference Antoncic and Hisrich2001; Sinha & Srivastava, Reference Sinha and Srivastava2013), influencing firm growth and profitability (Augusto Felício, Rodrigues, & Caldeirinha, Reference Augusto Felício, Rodrigues and Caldeirinha2012; Narayanan, Yang, & Zahra, Reference Narayanan, Yang and Zahra2009). Intrapreneurship is a behavior initiated at the individual level, different from corporate entrepreneurship or pursuing new endeavors from an organizational perspective (Farrukh, Meng, & Raza, Reference Farrukh, Meng and Raza2021).

Most prior research has adopted the organizational perspective, applying the corporate entrepreneurship concept; hence, there is a paucity of studies on individual-level intrapreneurship (Blanka, Reference Blanka2019; Gawke, Gorgievski, & Bakker, Reference Gawke, Gorgievski and Bakker2018). In this study, we take the latter approach and study intrapreneurship from an individual perspective.

Individual employees, especially those in leadership roles, are bearers of inbound entrepreneurship (Clark, Pidduck, Lumpkin, & Covin, Reference Clark, Pidduck, Lumpkin and Covin2024). Hence, it is important to understand the drivers of such behaviors to act intrapreneurially (Douglas & Fitzsimmons, Reference Douglas and Fitzsimmons2013). Given the significance of intentions in the empirical investigation of intrapreneurship (Razavi & Ab Aziz, Reference Razavi and Ab Aziz2017), our research employs intrapreneurial intention (INI) or the behavioral intention to act entrepreneurially within organizations as they offer a lens to understand intrapreneurship-related behaviors (Chouchane, Fernet, Austin, & Zouaoui, Reference Chouchane, Fernet, Austin and Zouaoui2021).

Management research has investigated a plethora of factors that explain or predict intrapreneurship (Perlines et al., Reference Perlines, Ariza-Montes and Blanco-González-Tejero2022). Previous studies have primarily focused on individual or contextual factors separately, with personal traits or characteristics as predictors of intrapreneurial behavior being the dominant perspective (Al-Ghazali & Afsar, Reference Al-Ghazali and Afsar2021; Lajçi, Berisha, & Krasniqi, Reference Lajçi, Berisha and Krasniqi2022; Sinha & Srivastava, Reference Sinha and Srivastava2013). However, recent literature suggests that intrapreneurship is influenced by a combination of both individual and contextual factors (for a review, see Blanka, Reference Blanka2019; Neessen et al., Reference Neessen, Caniëls, Vos and De Jong2019). In a recent study, Niemann, Mai, and Dickel (Reference Niemann, Mai and Dickel2022) tested individual and organizational antecedents of intrapreneurship concurrently. The authors call for more multi-level empirical research to enrich the list of individual and contextual drivers of intrapreneurial outcomes. Accordingly, we aim to integrate these perspectives by examining the simultaneous impact of individual and contextual factors on INI and echo the call of Niemann et al. (Reference Niemann, Mai and Dickel2022).

Given the strong influence of entrepreneurship scholarship on the conceptualization of intrapreneurship, we aim to investigate the intentions of intrapreneurs from an organizational behavior perspective. We build our conceptual model based on the job-demands resources (JD-R) framework (Bakker & Demerouti, Reference Bakker and Demerouti2017) by tincturing resources as standalone underpinnings (Gawke, Gorgievski, & Bakker, Reference Gawke, Gorgievski and Bakker2017). Subtly, relying on self-consistency theory (Korman, Reference Korman1970), we investigate the role of individual antecedents of INI, namely organization-based self-esteem (OBSE) and proactivity, as well as the mediating role of proactivity on OBSE-INI nexus. Additionally, we analyze the interaction of individual and contextual factors that facilitate intrapreneurship by focusing on the moderating role of top management support and role clarity.

The contributions of this study are threefold. First, to improve our understanding of intrapreneurship, we explore both individual and contextual antecedents of INI. This includes testing hypotheses on the personal resources related to intrapreneurship (e.g., OBSE and proactivity) and job resources (e.g., top management support and role clarity) situated at the organization and work-level, respectively. In doing so, we contribute to the debate of who the intrapreneur is and what nurtures his/her inclinations. Concerning the latter, our contribution is mapping job resources that influence intrapreneurship at different levels – which are yet to be identified (Gawke et al., Reference Gawke, Gorgievski and Bakker2017).

Second, we test the intrapreneurship hypothesis using a managerial sample. Much of the current understanding on INIs and behaviors comes from the least generalizable and representative samples, such as students. Managers are generally in more favorable positions to identify and implement opportunities due to their ability to influence decision-making, access resources, and better internal ties (De Jong, Parker, Wennekers, & Wu, Reference De Jong, Parker, Wennekers and Wu2015; Hornsby, Kuratko, Holt, & Wales, Reference Hornsby, Kuratko, Holt and Wales2013); thus, the knowledge on managerial intrapreneurship is critical.

Third, this is among the first attempts to study intrapreneurship in a non-western context. Limited research exists on intrapreneurship within the Western Balkans’ emerging economy, with a previous focus primarily on entrepreneurial intentions (Berisha, Krasniqi, Shiroka-Pula, & Kutllovci, Reference Berisha, Krasniqi, Shiroka-Pula and Kutllovci2021).

The remainder of the paper is organized as follows. In the next sections, the literature is reviewed, theoretical frameworks are outlined, and hypotheses are developed. Then, the methodology is explained, results are presented and discussed before implications are drawn. Finally, limitations of the study and future research direction are indicated.

Theoretical background

Individual factors of intrapreneurship

Like any behavior, intrapreneurship is a function of the individual and the context. Concerning the former, personal resources are recognized as strong predictors of intrapreneurial behaviors and intentions (Gawke et al., Reference Gawke, Gorgievski and Bakker2017). Personal resources are positive self-evaluations that refer to an individual’s self-beliefs of his/her ability to successfully control and impact their environment (Hobfoll, Johnson, Ennis, & Jackson, Reference Hobfoll, Johnson, Ennis and Jackson2003). Research has shown that personal resources such as self-efficacy, self-esteem, and proactivity amount to an increased inclination of employees to behave innovatively within organization (for a review, see Kwon & Kim, Reference Kwon and Kim2020).

Based on the JD-R literature, we focus on two key personal resources, namely the self-esteem of individuals in the organization (Xanthopoulou, Bakker, Demerouti, & Schaufeli, Reference Xanthopoulou, Bakker, Demerouti and Schaufeli2007, 2009) and proactivity (Dikkers, Jansen, de Lange, Vinkenburg, & Kooij, Reference Dikkers, Jansen, de Lange, Vinkenburg and Kooij2010; Schaufeli, Reference Schaufeli2017), which were found to be vital on enabling employees to control and influence their work environment effectively. Considering the nascent state of the research into the relationship between personal resources and intrapreneurship, this study aims to expound this nexus dwelling on the self-consistency propositions (Korman, Reference Korman1970). Specifically, we draw on self-consistency theory to explain how employees’ self-perceptions, such as self-esteem and proactivity, influence their inclination to engage in intrapreneurial activities (Wen, Wu, & Long, Reference Wen, Wu and Long2021; Wu, Lyu, Kwan, & Zhai, Reference Wu, Lyu, Kwan and Zhai2019).

In the present research, we investigate the INI of managers from the lens of their self-esteem as an ever-present concept in micro-organizational research (Brutus, Ruderman, Ohlott, & Mccauley, Reference Brutus, Ruderman, Ohlott and Mccauley2000; Di Fabio, Reference Di Fabio2014). Self-esteem in the workplace context is conceptualized as OBSE and represents the degree to which an employee perceives him/herself as adequate (worthy) as an organizational member (Pierce, Gardner, Cummings, & Dunham, Reference Pierce, Gardner, Cummings and Dunham1989). Given the extensive focus of previous research on global self-esteem, the role of OBSE in intrapreneurial research has been largely overlooked. To address this gap, we investigate whether self-consistency propositions hold in an intrapreneurial context by examining OBSE as a personal resource in a sample of managers. Hence, we propose OBSE on the left side of intrapreneurship.

Additionally, we purport to shed light on the underlying mechanism through which OBSE influences the intent to undertake intrapreneurial initiatives, examining the mediating role of proactivity. Proactivity is a crucial prerequisite to developing intrapreneurship (Amo, Reference Amo2006) and holds its outright significance as a self-initiated, future-focused, and change-oriented behavior (Gawke et al., Reference Gawke, Gorgievski and Bakker2018). In this study, we incorporate proactivity as a distinct personal resource related to intrapreneurship and examining its direct and indirect impact on the outcome variable. By doing so, we endeavor to provide a more comprehensive understanding of the multidimensional nature of intrapreneurship and its constituent elements.

Contextual factors of intrapreneurship

While personal resources comprise the individual characteristics that drive intrapreneurial behavior, contextual factors are crucial in facilitating organizational entrepreneurial initiatives (Åmo & Kolvereid, Reference Åmo and Kolvereid2005). The systematic literature review of Neessen et al. (Reference Neessen, Caniëls, Vos and De Jong2019) reveals that the most extensively used contextual factors in intrapreneurship research are management support, organizational structure, work discretion, rewards, and resource availability. Other researchers (e.g., Foss, Woll, & Moilanen, Reference Foss, Woll and Moilanen2013; Hornsby, Kuratko, Shepherd, & Bott, Reference Hornsby, Kuratko, Shepherd and Bott2009; Kuratko, Montagno, & Hornsby, Reference Kuratko, Montagno and Hornsby1990; Souto, Brito, & Pereira, Reference Souto, Brito and Pereira2022) have particularly emphasized the importance of top management support and role clarity among the most potent influencers of intrapreneurial tendencies.

Nonetheless, to date, the role of top management support and role clarity on managers’ intentions toward intrapreneurship remains unexplored. Accordingly, we investigate the interplay between individual proactivity and these contextual factors and aim to enhance our understanding of the complex dynamics shaping INIs among managers. In this way, we respond to Gawke et al.’s (Reference Gawke, Gorgievski and Bakker2017) call to integrate the literature on proactivity and intrapreneurship by studying how different types of job resources react as a result of individuals engaging in proactive work behaviors.

Bridging individual and contextual factors of intrapreneurship

Intrapreneurship scholars contemplate that individual factors, in conjunction with contextual factors, are the key determinants of intrapreneurship (Amo, Reference Amo2010; Urbano, Alvarez, & Turró, Reference Urbano, Alvarez and Turró2013). Building on Gawke et al. (Reference Gawke, Gorgievski and Bakker2017) and Gawke, Gorgievski, and Bakker’s (Reference Gawke, Gorgievski and Bakker2019) work, we adopt the job resource component of the JD-R model to examine how top management support and role clarity moderate the proactivity-INI relationship. JD-R distinguishes job aspects into demands and resources (Bakker & Demerouti, Reference Bakker and Demerouti2007), the former being identified as unfavorable job aspects, whereas the latter refers to factors that mitigate the adverse effects and lead to favorable outcomes (Bakker, Demerouti, & Sanz-Vergel, Reference Bakker, Demerouti and Sanz-Vergel2014). However, besides the interaction or the buffering effect of job resources on job demands, the former also have their own significance (Bakker & Demerouti, Reference Bakker and Demerouti2007). Namely, job resources can either stand in their own right or aid the achievement or protection of other valued resources. Later, JD-R was extended to include personal resources or individuals’ self-perceptions about their ability to influence their environment effectively (Xanthopoulou et al., Reference Xanthopoulou, Bakker, Demerouti and Schaufeli2007). In this study, we focus on the role of personal and job resources as accelerators of intrapreneurship and use the JD-R framework to bridge individual and contextual antecedents of INI.

According to Bakker and Demerouti (Reference Bakker and Demerouti2007), job resources may be located at the organization, interpersonal/social relation, work organization, and task level. Building on the JD-R propositions, we depict top management support as an organizational-level resource and role clarity as a work-level resource, both moderating the relationship between proactivity and INI. Xanthopoulou, Bakker, Demerouti and Schaufeli (Reference Xanthopoulou, Bakker, Demerouti and Schaufeli2009) maintain that personal and job resources are reciprocal. The authors suggest that resourceful employees not only build a more resourceful work environment but personal resources may be promoted by a positive environment characterized by an abundance of job resources. Hence, we propose that the strength of the proactivity-INI relationship varies according to the extent of top management support and role clarity because entrepreneurial behavior in the workplace is largely influenced by the availability of organizational and work-level resources (Antoncic & Hisrich, Reference Antoncic and Hisrich2001; Hornsby, Naffziger, Kuratko, & Montagno, Reference Hornsby, Naffziger, Kuratko and Montagno1993; Kuratko, Hornsby, & Bishop, Reference Kuratko, Hornsby and Bishop2005). The conceptual framework is presented below (Fig. 1). Subsequently, the concepts are outlined.

Figure 1. Hypothesized framework.

Literature review

Intrapreneurial intention

The term intrapreneur was coined by Pinchot (Reference Pinchot III1987), who depicts intrapreneurs as ‘dreamers who do’ concerned with increasing organizational effectiveness through innovation. Based on later considerations by other scholars, intrapreneurship refers to proactive, innovative, and risk-taking intentions and behaviors that drive organizational improvement (Valsania, Moriano, & Molero, Reference Valsania, Moriano and Molero2016). This includes product/service development, process-related improvements, production or marketing advancement, and new resource appliances (De Jong, Parker, Wennekers, & Wu, Reference De Jong, Parker, Wennekers and Wu2011).

Understanding the intention-behavior nexus at the individual level and its extrapolation into organizational action has become a critical issue in management research (Fini, Grimaldi, Marzocchi, & Sobrero, Reference Fini, Grimaldi, Marzocchi and Sobrero2012). In this regard, the theory of planned behavior states that an individual’s actual behavior is determined by that person’s intention to perform the behavior (Ajzen, Reference Ajzen1991). In our study, we investigate INIs or intentions to conduct entrepreneurial activities in an existing company (González-Serrano, Moreno, Valantine, & Hervás, Reference González-Serrano, Moreno, Valantine and Hervás2019) as they provide a lens through which intrapreneurship-related behaviors can be understood (Chouchane et al., Reference Chouchane, Fernet, Austin and Zouaoui2021).

Organization-based self-esteem

Self-esteem is the extent to which individuals consider themselves competent and able to satisfy their needs (Brockner, Reference Brockner1988). In the work and organizational context, the concept of OBSE was introduced to capture the degree to which an individual perceives him/herself to be capable, significant, and worthy as an organizational member (Pierce et al., Reference Pierce, Gardner, Cummings and Dunham1989). Xanthopoulou et al. (Reference Xanthopoulou, Bakker, Demerouti and Schaufeli2009) portray OBSE as a ‘state-like’ psychological construct and use it as an indicator of personal resources in relation to work engagement. Nonetheless, as tenure increases, OBSE becomes less changeable, and for job-experienced employees, it is a highly stable construct (Pierce et al., Reference Pierce, Gardner, Cummings and Dunham1989).

Compared to global self-esteem, OBSE is more malleable and is a stronger predictor of work outcomes (Lin, Chen, Ashford, Lee, & Qian, Reference Lin, Chen, Ashford, Lee and Qian2018). This denotes that employees’ self-esteem is shaped by work and organizational experiences, which in turn play a significant role in determining their motivations, attitudes, and behaviors (Pierce & Gardner, Reference Pierce and Gardner2004).

Proactivity

Intrapreneurship is inherently rooted in proactivity, a notion encompassing self-initiated and future-oriented actions aimed at driving organizational change (Neessen et al., Reference Neessen, Caniëls, Vos and De Jong2019). Proactivity is grounded on positive features of personal initiative and proactive personality (for a review, see Grant & Ashford, Reference Grant and Ashford2008). In this study, we adopt a dispositional approach and operationalize proactivity using the proactive personality concept, an established practice in proactivity research (Crant, Hu, & Jiang, Reference Crant, Hu, Jiang, Parker and Bindl2016). Crant (Reference Crant2000) delineates proactivity as either general-purpose or context-specific and postulates that the proactive personality captures the former.

Bateman and Crant (Reference Bateman and Crant1993) define proactive personality as a relatively stable personal disposition or behavioral tendency that drives individuals to take initiative and actively shape their environment. Proactive personality is among the most important antecedents of proactive behavior (McCormick, Guay, Colbert, & Stewart, Reference McCormick, Guay, Colbert and Stewart2019) and has been used as a proxy for assessing proactive behavior as an outcome in several studies (e.g., Chiaburu, Marinova, & Lim, Reference Chiaburu, Marinova and Lim2007; Kirkman & Rosen, Reference Kirkman and Rosen1999). In Dikkers et al.’s (Reference Dikkers, Jansen, de Lange, Vinkenburg and Kooij2010) work, proactive personality emerges as an essential personal resource positively associated with job engagement.

Top management support

Management support was coined and conceptualized by Hornsby, Kuratko, and Zahra (Reference Hornsby, Kuratko and Zahra2002, p. 253) to indicate the ‘willingness of senior management to facilitate and promote entrepreneurial activity in the organization, including championing innovative ideas as well as providing necessary resources, expertise or protection’. Proponents of the JD-R model (Bakker & Demerouti, Reference Bakker and Demerouti2007; Bakker, Demerouti, & Schaufeli, Reference Bakker, Demerouti and Schaufeli2003) depict supervisor support as a relevant job resource rooted in interpersonal and social relationships between an employee and her supervisor. In the present study, our concept of top management support goes beyond the relational support provided by the immediate supervisor. Instead, we consider top management support for intrapreneurship as a job resource provided systematically by a group of senior leaders or business units, either by facilitating entrepreneurial activity in the workplace or providing necessary expertise and resources (Hornsby et al., Reference Hornsby, Kuratko and Zahra2002).

Role clarity

Role clarity is the extent to which employees have adequate information about their priorities, responsibilities, and goals (Kahn, Wolfe, Quinn, Snoek, & Rosenthal, Reference Kahn, Wolfe, Quinn, Snoek and Rosenthal1964). Extending propositions from the JD-R model (Bakker & Demerouti, Reference Bakker and Demerouti2007), we consider role clarity as a job resource located at the work level. Past research indicates that role clarity fosters innovative work behavior (Kundu, Kumar, & Lata, Reference Kundu, Kumar and Lata2021) and contributes to developing an entrepreneurial and wellbeing-friendly work environment (Souto et al., Reference Souto, Brito and Pereira2022). Nevertheless, the role of role clarity in the intrapreneurial context is still obscure.

Hypotheses development

INI and OBSE

Among the most frequently used theoretical underpinning of self-esteem is Korman’s (Reference Korman1970, p. 32) self-consistency theory, which posits that ‘all other things being equal, individuals will engage in and find satisfying those behavioral roles which maximize their sense of cognitive balance or consistency’. This denotes that in work settings, individuals with high self-esteem will manifest favorable work attitudes to be consistent with their perception of competency (Pierce & Gardner, Reference Pierce and Gardner2004). In intrapreneurship research, self-esteem is a fundamental component of intrapreneurial capital – the constellation of intrapreneurial resources used to cope with career challenges (Di Fabio & Gori, Reference Di Fabio and Gori2016) – and has been attested as an antecedent of intrapreneurial tendencies (Ronen, Reference Ronen, Malach-Pines and Özbilgin2010).

Dwelling on self-consistency propositions (Korman, Reference Korman1970), OBSE and INI are expected to be positively related, mainly because employees with high self-esteem are more likely to behave in a manner consistent with their self-image. Employees who envisage themselves as trustful and worthy organizational members have a sense of responsibility of sincere payback to the organization and colleagues, which in turn enables them to engage in intrapreneurial endeavors (Wu et al., Reference Wu, Lyu, Kwan and Zhai2019). Moreover, given that intrapreneurship is associated with time pressure and uncertainty (González-Serrano et al., Reference González-Serrano, Moreno, Valantine and Hervás2019), high OBSE intrapreneurs perceive themselves as competent and more willing to take risks and pursue novel endeavors (Wen et al., Reference Wen, Wu and Long2021). Previous research has investigated the influence of OBSE on innovative behavior (Wen et al., Reference Wen, Wu and Long2021; Zeng & Xu, Reference Zeng and Xu2020), which is a closely interlinked concept with intrapreneurship. Nonetheless, the effect of OBSE on INI has been largely overlooked. Therefore, we propose the following:

Hypothesis 1: There is a positive relationship between organization-based self-esteem and intrapreneurial intention.

INI and proactivity

There is a consensus among scholars that intrapreneurship at the individual level encompasses proactivity, innovation, and risk-taking as integral dimensions (Neessen et al., Reference Neessen, Caniëls, Vos and De Jong2019; Rigtering & Weitzel, Reference Rigtering and Weitzel2013). However, recent conceptualizations of intrapreneurship consider proactiveness as part of the innovation domain and operationalize INI as a two-dimensional construct comprised of innovation and risk-taking (e.g., Baena‐Luna, Sánchez‐Torné, Pérez‐Suárez, & García‐Río, Reference Baena‐Luna, Sánchez‐Torné, Pérez‐Suárez and García‐Río2022; González-Serrano et al., Reference González-Serrano, Moreno, Valantine and Hervás2019; Lara-Bocanegra, García-Fernández, Bohórquez, & González-Serrano, Reference Lara-Bocanegra, García-Fernández, Bohórquez, González-Serrano, Leitão, Ratten and Braga2022). Although the two concepts are positively linked (Amo, Reference Amo2006), it is imperative to recognize that proactivity is a specific dimension and is not always innovation-related (Gawke et al., Reference Gawke, Gorgievski and Bakker2018). Rather, proactivity primarily denotes the inclination to anticipate changes, characterized by its temporal component (Crant & Bateman, Reference Crant and Bateman2000).

Previous research has depicted proactivity as a distinguishing disposition for fostering intrapreneurship (De Jong et al., Reference De Jong, Parker, Wennekers and Wu2011). Building on the concept of INI proposed by González-Serrano et al. (Reference González-Serrano, Moreno, Valantine and Hervás2019), we expand the current model by examining the influence of proactivity as an additional distinct attribute on INI. Consequently, we propose the following:

Hypothesis 2: There is a positive relationship between proactivity and intrapreneurial intention.

The mediating role of proactivity

Owing to the arguments presented in the preceding sections, we propose that OBSE influences managers’ INI through its effect on their proactivity. Employees with high OBSE are more likely to be proactive, exhibiting a higher degree of initiative (Pierce & Gardner, Reference Pierce and Gardner2004; Wen et al., Reference Wen, Wu and Long2021). Previous research has demonstrated a positive association between OBSE and proactivity (Lin et al., Reference Lin, Chen, Ashford, Lee and Qian2018). Proactive employees with high OBSE are more likely to take the initiative, anticipate changes, and proactively drive organizational improvement (González-Serrano et al., Reference González-Serrano, Moreno, Valantine and Hervás2019; Matsuda, Pierce, & Ishikawa, Reference Matsuda, Pierce and Ishikawa2011), namely, act intrapreneurially.

Therefore, we posit that proactivity might act as a mechanism through which self-perceived value, competence, and contribution to the organization are translated into proactive actions. In other words, individuals who perceive themselves as faithful and trustful (e.g., OBSE in this study) are more likely to be action and future-oriented (e.g., proactivity in this study) and intrapreneurially inclined by carrying out risky and innovative initiatives (e.g., INI in this study). Hence, we hypothesize that:

Hypothesis 3: Proactivity mediates the relationship between organization-based self-esteem and intrapreneurial intention.

The moderating role of management support

Top management support for intrapreneurship is among the most important enablers of entrepreneurial behavior within an organization (Kuratko et al., Reference Kuratko, Montagno and Hornsby1990). It encompasses championing innovative ideas and providing the resources people require to take entrepreneurial actions (Hornsby et al., Reference Hornsby, Kuratko, Holt and Wales2013). Kuratko et al. (Reference Kuratko, Montagno and Hornsby1990) suggest that any organization needs an environment that supports entrepreneurial activities, outlining the importance of top management support. Previous studies found that allowing trial-and-error and creative processes through management support is pivotal for intrapreneurship (Alpkan, Bulut, Gunday, Ulusoy, & Kilic, Reference Alpkan, Bulut, Gunday, Ulusoy and Kilic2010; Antoncic & Hisrich, Reference Antoncic and Hisrich2001). Along the same line, Zhang, Kimbu, Lin and Ngoasong (Reference Zhang, Kimbu, Lin and Ngoasong2020) note that direct support from immediate supervisors is an important opportunity for intrapreneurs to progress their ideas within their organizations.

Successful intrapreneurs are proactive individuals who know the organization inside out, they are diplomats, and good communicators with supervisory authorities (González-Serrano et al., Reference González-Serrano, Moreno, Valantine and Hervás2019). Therefore, when proactive employees experience an abundance of top management support in terms of both tangible and intangible means, the risk is shared, their morale increases and their venturous intention is accentuated (Antoncic & Hisrich, Reference Antoncic and Hisrich2001). Hence, we formulate the following hypothesis:

Hypothesis 4: Top management support moderates the positive relationship between managers’ proactivity and intrapreneurial intention such that the relationship is stronger when management support is high rather than low.

The moderating role of role clarity

Previous studies (Deprez, Peeters, & Gorgievski, Reference Deprez, Peeters and Gorgievski2021; Ramamoorthy, Flood, Slattery, & Sardessai, Reference Ramamoorthy, Flood, Slattery and Sardessai2005) have shown that a clear definition of one’s role and intrapreneurial expectations are preconditions for employee innovative behavior. This holds true particularly for managers, as a clearly defined scope of action is essential due to their responsibility for decision-making and allocation of resources (Hall, Reference Hall2008; Hornsby et al., Reference Hornsby, Kuratko, Holt and Wales2013).

As a general self-initiated and future-oriented behavior (Crant, Reference Crant2000), proactivity is nourished by role clarity. In this sense, when role clarity is low, proactive individuals tend to exhibit general self-initiated efforts or provide inefficient solutions to workplace issues (Hassan, Reference Hassan2013; Kundu et al., Reference Kundu, Kumar and Lata2021). Therefore, we posit that role clarity influences the strength of the proactivity-INI relationship. When individuals clearly understand their tasks, responsibilities, and work processes, it allows for more focused intrapreneurial efforts (Souto et al., Reference Souto, Brito and Pereira2022). Consequently, the following hypothesis is formulated:

Hypothesis 5: Role clarity moderates the positive relationship between managers’ proactivity and intrapreneurial intention such that the relationship is stronger when role clarity is high rather than low.

Methodology

Procedure and sample

We expected the drivers of INI to surface best in a context where engagement in intrapreneurship is paramount for both firm-level success and career advancement. Kosovo, one of the fastest-growing economies in the Western Balkans (Mara, Reference Mara2020) and boasting one of the youngest populations in Europe (World Bank, 2019), seamlessly aligned with this study goal. Managers as central figures are often considered the ‘usual suspects’ in exerting intrapreneurial and innovative behavior (Davis, Reference Davis1999); for this reason, we chose managers as respondents in our study. Moreover, given Kosovo’s historical context and the nascent stage of its economy, the importance of individual-level intrapreneurship for firm success is more or less the same across industries and firm sizes (Krasniqi, Berisha, & Pula, Reference Krasniqi, Berisha and Pula2019). Within the small nation, we do not expect systematic industry or firm size effects.

Primary data were collected using self-report questionnaires. Since no sampling frame of managers exists in Kosovo, the non-random and convenient sampling approach was followed (Cumming, Reference Cumming1990). Initially, HR managers or CEOs of selected companies were contacted and briefed about the study’s goal. Upon their approval, respondents received either an online version of Qualtrics or a pen-and-paper questionnaire. To avoid biases, we limited the number of respondents per company to 10. The back-translation procedure (Brislin, Reference Brislin1970) was followed to ensure accurate translation of items into Albanian. The questionnaire consisted of workplace-related instruments and the demographic section. Out of 350 distributed questionnaires, 206 responses were received (58.9% return rate). Thirteen questionnaires were discarded due to missing data.

The respondents are managers employed in Kosovan companies varying in size and industry. The sample comprised 193 respondents (62.7% male; 37.3% female). The mean age was 31.76 years (SD = 6.30). Concerning education, over 95% of the sample hold either a Bachelor’s (56.0%) or a Master’s (39.4%) degree. Table 1 summarizes the characteristics of the sample.

Table 1. Demographic characteristics of the sample

Instruments

Intrapreneurial intention. Managers’ INI was measured using the scale developed by González-Serrano et al. (Reference González-Serrano, Moreno, Valantine and Hervás2019). The scale consists of two dimensions, namely innovation (e.g., ‘I would try to generate new useful ideas within the company’) and risk-taking (e.g., ‘I would try new things within the company even if there were possibilities of not working’) with a total of seven items. An average score of all items along two dimensions was used to assess managers’ propensity toward intrapreneurship. González-Serrano et al.’s (Reference González-Serrano, Moreno, Valantine and Hervás2019) study shows good internal consistency of the scale, reporting alphas coefficients of .89 and .90.

Organization-based self-esteem

The OBSE of managers was measured using Pierce et al.’s (Reference Pierce, Gardner, Cummings and Dunham1989) 10-item scale. Sample items include ‘I count around here’ and ‘I am a valuable part of this place.’ Pierce et al. (Reference Pierce, Gardner, Cummings and Dunham1989) support the psychometric properties of the scale, reporting Cronbach’s α from .86 to .96.

Proactivity

Proactivity was measured using the shortened version (Seibert, Crant, & Kraimer, Reference Seibert, Crant and Kraimer1999) of the Proactive Personality Scale (Bateman & Crant, Reference Bateman and Crant1993). The shortened version includes 10 items (e.g., ‘I am constantly on the lookout for new ways to improve my life’). Seibert et al. (Reference Seibert, Crant and Kraimer1999) support the validity and reliability of the shortened version of Proactive Personality Scale (α = .86) and suggest that it is comparable to the full 17-item version.

Top management support

The five-item dimension developed by Hornsby et al. (Reference Hornsby, Kuratko, Holt and Wales2013) was used to measure the willingness of top management to support intrapreneurship. A sample item is ‘Those employees who come up with innovative ideas on their own often receive management encouragement for their activities.’ Coefficient alphas in Hornsby et al.’s (Reference Hornsby, Kuratko, Holt and Wales2013) samples reached .63 and .73.

Role clarity

Role clarity of managers was measured by adapting the six-item instrument developed by Rizzo, House and Lirtzman (Reference Rizzo, House and Lirtzman1970). Sample items include ‘I have clear, planned goals and objectives for my job’ and ‘I know exactly what is expected of me.’ The items were rated on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree). Rizzo et al. (Reference Rizzo, House and Lirtzman1970) report good psychometric properties of the scale; alpha estimates range from .78 to .80.

For all constructs, respondents’ self-rated responses were recorded. Answers are scored using a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree).

Control variables

Building upon previous research (De Jong et al., Reference De Jong, Parker, Wennekers and Wu2015; Gawke et al., Reference Gawke, Gorgievski and Bakker2017; Hornsby et al., Reference Hornsby, Kuratko, Shepherd and Bott2009), we controlled for the effect of six personal characteristics on the outcome variables. The included covariates are operationalized as follows: gender (0 = female, 1 = male), age (in years), education (1 = high school, 2 = associate degree, 3 = bachelor’s degree, 4 = master’s degree, 5 = PhD), organizational tenure (in years), management level (1 = low-level management, 2 = middle-level management, 3 = senior-level management), industry (0 = manufacturing, 1 = service).

Analytical approach

Before conducting detailed analyses, we performed confirmatory factor analysis (CFA) to test the factor structure of our measures. Further, the convergent and discriminant validity as well as reliability of the measures were assessed. For hypotheses testing, we rely on mediation and moderation models using PROCESS macro 4.2 developed for SPSS (Preacher & Hayes, Reference Preacher and Hayes2004). Parameter estimates were made under the 5,000 bootstrap samples using 95% confidence intervals. Effects are significant if the lower-level confidence interval (LLCI) and the upper-level confidence interval (ULCI) do not contain zero (MacKinnon, Reference MacKinnon2008).

Results

Preliminary analyses

Several ex-ante and ex-post interventions and diagnostics were performed to ensure data quality. To mitigate the issue of common method variance, we assured respondents verbally and with a cover letter that the survey was anonymous and that the measures were independent (Podsakoff, MacKenzie, Lee, & Podsakoff, Reference Podsakoff, MacKenzie, Lee and Podsakoff2003). After data collection, we performed Herman’s single factor test, which showed that the percentage of variance was 29.69%, lower than the 50% threshold (Fuller, Simmering, Atinc, Atinc, & Babin, Reference Fuller, Simmering, Atinc, Atinc and Babin2016), indicating no common method bias. Additionally, we checked for multicollinearity using the variable inflated factor. Variable inflated factor ratios ranged between 1.10 and 1.78, thus meeting the <5 cutoff (Hair, Black, Babin, & Anderson, Reference Hair, Black, Babin and Anderson2019), implying no issue of multicollinearity.

Considering that our study examines the relationship between constructs measured by established theoretical instruments (Brown, Reference Brown2015), we performed CFA. Initially, we assessed skewness and kurtosis, ensuring that our scores were within limits and had data normality (Byrne, Reference Byrne2016). Then, the CFA is performed for each study variable, and loading scores are checked to determine item retention or exclusion. Based on the predetermined theoretical cutoffs for loadings in CFA, we applied the .4 cutoff (Stevens, Reference Stevens2012) as criteria for item omission. The factor loadings and fit indices for the study measures are presented in Table 2.

Table 2. Factor loadings and fit indices of study measures

χ2/df – chi-square divided by degrees of freedom; GFI – goodness of fit index; CFI – comparative fit index; TLI – Tucker–Lewis index; RMSEA – root mean square error of approximation.

The initial measurement model for INI produced unacceptable fit indices. After omitting item 6, the respecified model demonstrated a good fit to the data: χ2/df = 1.050, GFI = .988, CFI = .999, TLI = .999, RMSEA = .016, and SRMR = .023. In the OBSE scale, apart from RMSEA (.088), which is slightly above the threshold (≤.08; Browon & Cudeck, Reference Browneon and Cudeck1992), the other fit indices are deemed acceptable. For proactivity, the initial measurement model with the original items demonstrated an unacceptable fit to the data. Consequently, we omitted poor loading items (1, 3, 4, 10), which improved the model fit significantly. Finally, concerning our moderating variables, both top management support and role clarity yielded good factor loadings and great fit indices.

Measures’ properties and correlations

Table 3 summarizes descriptives, correlation scores, Cronbach’s α reliabilities, and convergent and discriminant validity of study variables. First, the internal consistency of the scales is examined. In this study, OBSE (.90), proactivity (.85), INI (.86), top management support (.83), and role clarity (.82) showed good psychometric properties, with a Cronbach’s α within the accepted range (Nunnally, Reference Nunnally1978).

Table 3. Validity of measures and correlations

Square roots of AVEs are presented diagonally in brackets.

α – Cronbach’s α; SD – standard deviation; CR – composite reliability; AVE – average variance extracted.

* p < .05; **p < .01.

Following the CFA results, we further tested the measures’ convergent and discriminant validity. We relied on the composite reliability (CR) and average variance extracted (AVE) scores for the former. The CR scores for all five measures are above the theoretical benchmark of .70 (Hair et al., Reference Hair, Black, Babin and Anderson2019). AVE for top management support and INI was above the .50 recommended threshold (Hair et al., Reference Hair, Black, Babin and Anderson2019), whereas OBSE (.49), proactivity (.49), and role clarity (.44) did not meet the cutoff. However, AVEs lower than .50 are still acceptable, provided that CRs are above .60 (Fornell & Larcker, Reference Fornell and Larcker1981), which holds in our study. Thus, these results indicate good convergent validity.

Further, we examined discriminant validity by comparing AVE square roots with scale correlations. As the AVE square root for each variable is greater than the correlation scores between that variable and other study measures, discriminant validity is confirmed (Moores, Smith, & Limayem, Reference Moores, Smith and Limayem2018).

Correlation scores show that OBSE (r = .65, p < .01) and proactivity (r = .69, p < .01) are strongly positively related to INI. Further, there is a positive relationship between OBSE and proactivity (r = .55, p < .01). Of the correlations with demographic and control variables, INI is positively correlated to gender (r = .53, p < .01) and managerial level (r = .15, p < .05). Meaning that being male and in higher managerial levels is associated with higher levels of intrapreneurial propensity. Gender, or being male, is also positively correlated to OBSE (r = .49, p < .01) and proactivity (r = .65, p < .01). Results indicate that level of management is significantly and positively related to OBSE (r = .15, p < .05), but not to proactivity. Further, the correlation results yield a positive correlation between industry (i.e., service industry) and OBSE (r = .39, p < .01), proactivity (r = .41, p < .01), and INI (r = .42, p < .01).

Hypotheses testing

Table 4 contains the results of the hypotheses testing. In this study, two regression analyses were performed, which differ in terms of the second-stage moderator.

Table 4. Results of regression analyses

N = 193 respondents. Bootstrap sample size = 5,000.

First, we tested the direct effect. The results show that OBSE is positively and significantly related to INI (B = .49, p = .00). Moreover, the relationship between proactivity and INI is positive and significant (B = .44, p = .00). Thus, Hypothesis 1 and Hypothesis 2 are supported, respectively.

Hypothesis 3 hypothesized an indirect effect of OBSE on INI via proactivity. The bootstrap mediation yields that the OBSE-INI relationship mediated by proactivity is positive and significant (indirect effect = .14, SE = .04; ULCI = .07; LLCI = .23). Thus, Hypothesis 3 is supported.

Regarding moderation, the interaction term Proactivity × Top management support (B = .18, p = .00) positively relates to INI. Hence, Hypothesis 4 is supported. This means that for individuals who experience a high level of top management support, the increase in INI due to proactivity is higher than for individuals who receive a lower amount of top management support. Figure 2 illustrates this relationship.

Figure 2. Interaction graph of the proactivity with top management support on intrapreneurial intentions.

Similarly, the interaction term Proactivity × Role clarity (B = .24, p = .02) positively relates to INI; thus, Hypothesis 5 is also confirmed. In other words, for individuals with a high level of role clarity, the increase of INI due to proactivity is higher than for individuals with a lower level of role clarity. Figure 3 illustrates this relationship.

Figure 3. Interaction graph of the proactivity with role clarity on intrapreneurial intentions.

To further substantiate the moderation graphs, we report the slope results. Table 5 shows the conditional direct effect of proactivity on INI in the presence of top management support and role clarity, at different levels of these moderators (M, ±1SD). The results indicate that our job resources, significantly moderate proactivity-INI relationship at different moderator level, namely low (−1 SD), at the mean, and high (+1 SD).

Table 5. Conditional effects of the focal predictor at values of the moderators

Dependent variable = intrapreneurial intention.

N = 193 respondents. Bootstrap sample size = 5,000.

Concerning control variables, gender and industry were found to be statistically significant. Meaning, males (B = .51, p = .00) and managers from the service industry (B = .17, p = .05) yielded a positive significant variance in proactivity levels.

Supplementary analyses

To ensure the robustness of the findings, we conducted additional tests for the mediation and moderated mediation effects (Heubeck, Reference Heubeck2023). We performed Sobel’s test to validate the robustness of the mediation effect (Preacher & Hayes, Reference Preacher and Hayes2004; Sobel, Reference Sobel1982). Based on Sobel’s test, the mediating impact of proactivity on OBSE-INI relationship is significant, further confirming Hypothesis 3 (b = 3.70, p = .00). Namely, proactivity plays an important role as the underlying mechanism, mediating the relationship between OBSE and INI.

Further, we examined the moderated mediation effects in greater detail. Namely, we tested the conditional indirect effects at specific values (M, ±1SD) of the top management support and role clarity as moderators (see Table 6).

Table 6. Results of conditional indirect effects

N = 193 respondents. Bootstrap sample size = 5,000.

First, the effect of OBSE on INI via proactivity is significant and positively moderated by top management support; thus, a moderated mediation exists (Index = .06; SE = .03; ULCI = .01; LLCI = .12). Specifically, proactivity mediates the relationship between OBSE and INI when top management is low (−1 SD) at the mean, and when top management is high (+1 SD).

Second, the effect of OBSE on INI via proactivity is significant and positively moderated by role clarity as well; hence a moderated mediation exists (Index = .07; SE = .03; ULCI = .03; LLCI = .13). Namely, proactivity mediates the relationship between OBSE and INI when role clarity is low (−1 SD), at the mean, and when top management is high (+1 SD).

Proactivity’s consistent mediation effect on OBSE-INI relationship across different levels of both top management support and role clarity suggests that proactivity plays a crucial role in translating OBSE into INI. The findings indicate that regardless of the level of support from top management or the clarity of roles, managers with higher levels of OBSE tend to exhibit more proactivity, which in turn fosters INI.

Discussion

With this study, we aimed to examine the role of OBSE and proactivity as personal resources in fostering INI. Moreover, we tested the moderating effect of two job resources, namely top management support and role clarity, in the proactivity-INI relationship. The present research strived to increase the understanding of intrapreneurship among managers by examining the interaction of personal and job resources from an organizational behavior perspective. However, these effects are limited because they stem from a specific context (Kosovo) and a non-random sample, suggesting a limited possibility to generalize the results. Also, while our study shows a significant positive relationship between certain variables, the cross-sectional nature of our data does not allow to infer causality. Concerning generalization, extending findings to the population can be challenging. In this study, however, we refrain from generalization to the population, rather we generalize to theory (Saunders, Lewis, & Thornhill, Reference Saunders, Lewis and Thornhill2009).

The results show that OBSE is positively related to INI. Employees with high OBSE perceive themselves as an important and valuable part of the organization, which explains their increased tendency toward intrapreneurship. Self-esteem emanates from positive consideration provided by others and past achievements in the workplace (Pierce & Gardner, Reference Pierce and Gardner2004). First, workplace appreciation shapes intrapreneurs’ self-esteem and perception of how far they can go (Zeng & Xu, Reference Zeng and Xu2020). When employees are evaluated, trusted, and taken seriously, they build a strong sense of responsibility for sincere return and, thus, are more willing to carry out intrapreneurial activities for the organization (Wen et al., Reference Wen, Wu and Long2021). In other words, managers need to be ‘cherished to flourish’. Our findings align with the self-consistency perspective or the notion that high self-esteem will manifest favorable work attitudes to be consistent with the attitude that they are competent (Korman, Reference Korman1970; Pierce & Gardner, Reference Pierce and Gardner2004). Because of the high expectations from their coworkers and supervisors, managers have a point to prove; thus, they are more likely to perform challenging tasks and have a greater sense of ownership and responsibility.

Second, employees’ previous achievements in the workplace enhance their confidence to undertake new endeavors. This highlights the importance of past milestones in demonstrating INI and supports the idea that OBSE becomes more stable with tenure (Pierce et al., Reference Pierce, Gardner, Cummings and Dunham1989). Therefore, our sample’s relatively long organizational tenure (mean = 6.4 years) explains the positive relationship between OBSE and INI.

Next, the results yield a positive relationship between proactivity and INI. This finding is intuitive and self-evident, as extant research and practice have shown that intrapreneurship is inherently grounded in proactivity (Farrukh et al., Reference Farrukh, Meng and Raza2021; Gawke et al., Reference Gawke, Gorgievski and Bakker2019; Neessen et al., Reference Neessen, Caniëls, Vos and De Jong2019). Our finding supports proactive personality as a relatively stable disposition that affects environmental change (Crant & Bateman, Reference Crant and Bateman2000), such as intrapreneurial venturing in this study. In work settings, proactivity means taking the initiative and being creative by improving work methods or influencing colleagues (Parker & Collins, Reference Parker and Collins2010). Therefore, individuals with a proactive disposition are more likely to possess a higher dose of intrapreneurialism because they often need to anticipate changes and sell issues internally in advance to prepare for the implementation on the ground.

The empirical results indicate that proactivity mediates the OBSE-INI relationship. However, given the positive significant direct effect of OBSE on INI (Hypothesis 1), in this case, a partial mediation exists. Although the direct relationship between OBSE and INI holds and the mediating role of proactivity as a mechanism is not full, the latter has its own significance. In other words, OBSE creates a psychologically safe environment built on trust (Matsuda et al., Reference Matsuda, Pierce and Ishikawa2011), which enables individuals to feel more liberated to exhibit their proactiveness by taking the initiative to change the workplace, even if it entails the risk of failure (Pierce & Gardner, Reference Pierce and Gardner2004; Wen et al., Reference Wen, Wu and Long2021). Consequently, this newfound freedom nurtures an intrapreneurial mindset, facilitating risky and innovative activities (De Jong et al., Reference De Jong, Parker, Wennekers and Wu2015).

Regarding moderation, we find that top management support moderates the positive relationship between proactivity and INI. Moreover, the empirical results reveal that the indirect effect of OBSE on INI through proactivity is moderated by management support. In line with JD-R theorization (Bakker & Demerouti, Reference Bakker and Demerouti2007), top management support emerges as a pivotal organizational-level resource in the intrapreneurial context. Top management support provides employees the resources and encouragement to take the initiative and engage in more challenging tasks (Hornsby et al., Reference Hornsby, Kuratko, Holt and Wales2013). In turn, top management support accentuates employees’ willingness to behave intrapreneurially.

Top management can support proactive employees in their intrapreneurial journey through tangible and intangible means (Hornsby et al., Reference Hornsby, Kuratko and Zahra2002). Tangible support includes budget allocation and access to external capital. Nevertheless, intangible support from top management is particularly important, including mentorship, training, advising, agency, removing barriers and bureaucracy, and access to the networks.

Finally, we found that role clarity moderates the positive relationship between proactivity and INI. Moreover, the empirical results reveal that the indirect effect of OBSE on INI through proactivity is moderated by role clarity. In line with JD-R theorizations (Bakker & Demerouti, Reference Bakker and Demerouti2007), role clarity appears to be a paramount work-level resource for proactive employees. Role clarity can increase INI by providing clear expectations and objectives for each role (Deprez et al., Reference Deprez, Peeters and Gorgievski2021; Ramamoorthy et al., Reference Ramamoorthy, Flood, Slattery and Sardessai2005). It enhances their understanding of job aspects, responsibilities, and how their work contributes to the organization’s success. Consequently, role clarity increases awareness, enabling employees to identify bottlenecks and seize new opportunities. Specifically, role clarity empowers proactive individuals to exert more focused interventions; it enhances certainty regarding the authority scope so that managers know how far they can go (Kundu et al., Reference Kundu, Kumar and Lata2021; Souto et al., Reference Souto, Brito and Pereira2022).

In our study, both moderators showed statistical significance. However, role clarity has a stronger impact than top management support in influencing the proactivity-INI relationship. We purport that the higher moderating effect of role clarity could be explained by higher self-regard of role clarity due to self-serving bias inherent in cross-sectional survey studies (Friedrich, Reference Friedrich1996). Additionally, an alternate explanation for the higher rating of role clarity over top management support could be attributed to contextual characteristics.

Given the low specialization in the labor market in Kosovo, managers are considered jacks of all trades, and many end up in generalized roles (Krasniqi & Mustafa, Reference Krasniqi and Mustafa2016). Consequently, we presume this might induce some of these managers to evaluate role clarity higher. Au contraire, in a collectivist culture such as Kosovo, supervisory support is commonly perceived as self-evident rather than a scarce resource (Tuzun & Kalemci, Reference Tuzun and Kalemci2012). This aligns with Pinchot’s (Reference Pinchot III1987, p. 18) proposition that intrapreneurs ‘come to work each day willing to be fired’ and with the idea that they work underground and are very likely to drive their projects forward regardless of management support (Pinchot & Soltanifar, Reference Pinchot, Soltanifar, Soltanifar, Hughes and Göc ke2021).

To conclude, our findings are generally in line with prior research, suggesting that managers from a non-western economy exhibit similarities with those from other contexts. Notwithstanding the absence of unsurprising results, our findings shed light on a nuanced perspective. In other words, positive self-evaluations of the participants across constructs in our study and confirmed hypotheses might be attributed to the unique characteristics of the context and our sample.

First, given the prevalent job insecurity in Kosovo, managers might be more inclined to engage in entrepreneurial activities within their organizations rather than seeking external opportunities (Yukongdi & Lopa, Reference Yukongdi and Lopa2017). Consequently, they may lean toward reporting their INIs more favorably. Second, Kosovo has one of Europe’s youngest populations, averaging 30.2 years (World Bank, 2019), which was also reflected in our sample (average age = 31.8). Hence, this youthful presence might explain the higher levels of self-esteem and proactivity, as demonstrated in previous research (Ensley, Pearson, & Pearce, Reference Ensley, Pearson and Pearce2003). Third, our sample indicates a high level of education (over 95% possess a Bachelor’s or Master’s degree). This educational background could influence their evaluation of personal and job resources, particularly regarding role clarity. We posit that some managers may be employed in positions below their qualifications, potentially leading to an increased perception of their role clarity (Krasniqi & Mustafa, Reference Krasniqi and Mustafa2016).

Implications

Our study has significant theoretical implications, particularly within intrapreneurship and JD-R research. Primarily, the present research supports the notion that intrapreneurship is best understood by considering both individual and contextual (Niemann et al., Reference Niemann, Mai and Dickel2022; Perlines et al., Reference Perlines, Ariza-Montes and Blanco-González-Tejero2022). In this regard, we find JD-R as a valuable framework to bridge individual and contextual factors to explain intrapreneurship.

Additionally, this is among the first attempts to use the JD-R model in an intrapreneurial context. We follow Gawke et al.’s (Reference Gawke, Gorgievski and Bakker2017) propositions and add further evidence on the particular significance of resources as standalone underpinnings. Along this line, we integrate the literature on work proactivity and intrapreneurship and analyze the manifestation of job resources when proactive individuals engage in intrapreneurship (Gawke et al., Reference Gawke, Gorgievski and Bakker2017).

At the individual level, our findings confirm OBSE and proactivity as pivotal personal resources influencing INI, which also positively interact with job resources and jointly enhance intrapreneurial tendencies. Further, top management support (organizational-level) and role clarity (work-level) emerge as important contextual factors; thus, we add empirical evidence on their positive impact on proactivity and propensity toward intrapreneurship.

Further, by applying the self-consistency theory to the context of managers, this study extends the theory’s validity beyond student samples typically utilized in previous studies. Our findings align with the notion that maintaining a positive self-perception is pivotal for managers pursuing intrapreneurial initiatives. For managers, maintaining a high level of OBSE becomes particularly crucial due to the inherent demands and challenges associated with their roles (Brutus et al., Reference Brutus, Ruderman, Ohlott and Mccauley2000).

Finally, the results suggest important practical implications as well. First, managers with high self-esteem are more likely to be proactive and intrapreneurial when their efforts are appreciated, emphasizing the need for a culture of recognition and a psychologically safe environment. Second, nurturing proactivity via job resources is crucial for intrapreneurial success, requiring support from top management and clear job roles for focused intrapreneurial actions. In the Kosovan context, with a predominantly youth population entering the workforce, with a fair representation in managerial roles, is it required from top management to nurture an environment that encourages proactivity. This means providing opportunities to showcase new ideas, experiment with new initiatives, and potentially develop new business opportunities. Given the evidenced influence of OBSE on proactivity and INI, we purport that the top management of Kosovan companies should empower individuals and teams to spend time working on their ideas and encourage their further development through incentives and other mechanisms. We suggest that in doing so top management can channel managers’ efforts toward new and innovative ideas. Acknowledging accomplishments and encouraging more of the same is appreciated by employees. Our study has evidenced that top management support is a prerequisite for proactivity and INI, so this enabling mechanism should be pervasive and sustained. In the Kosovan context, with high masculinity, where assertiveness is inherently high (Berisha, Reference Berisha2013), honing self-esteem by top management will only encourage proactive and intrapreneurial behavior.

Limitations and future research

This study is not without limitations, which provide avenues for future research. First and foremost, the present research is grounded on cross-sectional data, which restricts drawing conclusions about the causal relationships. Thus, future research should employ longitudinal data to better understand managers’ intrapreneurial tendencies.

The empirical data is collected using self-report measures, which are subject to biases and are based on individual perceptions and tendencies (Chan, Reference Chan, Lance and Vandenberg2009). Moreover, given the sample frame limitations and the study’s exploratory nature, non-random convenience sampling is used. Future research should use more robust sampling strategies and data-gathering techniques, such as random and longitudinal data. Longitudinal studies are especially required to capture temporal behavior alterations as a function of shifting individual and organizational characteristics.

Further, it is important to recognize that our dependent variable captures the intention toward intrapreneurship. Although actual behavior is inherently guided by formed intentions (Ajzen, Reference Ajzen1991), future research should track the development of intrapreneurship. Another shortcoming is related to the operationalization of proactivity using a trait-based measure. Proactive personality captures employees’ general proactivity or tendency to proactively approach different work situations (Crant, Reference Crant2000), which aligns with our study’s objective. Moreover, it provides a more efficient research method that can be used whenever an economically usable scale is needed (Frese & Fay, Reference Frese and Fay2001; Salanova & Schaufeli, Reference Salanova and Schaufeli2008). Nonetheless, future research might adopt supervisor-rated or interview-based methods for measuring intrapreneurial behavior (Farrukh et al., Reference Farrukh, Meng and Raza2021) and proactivity (Grant, Parker, & Collins, Reference Grant, Parker and Collins2009).

Concerning control variables, we relied on similar studies to depict confounding variables. Future research should extend the depth of control variables in all levels of analysis. At the individual level, personality characteristics should be included as control variables in future research. At the same time, including company size and age as confounders for the organizational-level factors would be interesting. Moreover, group-level factors should be included as control variables (Bernerth & Aguinis, Reference Bernerth and Aguinis2016).

Finally, our study investigates on INI within the context of Kosovo. While our findings contribute to the understanding of intrapreneurship in an emerging economy context with a young population, we acknowledge the limitation in generalizability to other contexts. The single-country focus may pose a bias in the work experiences of young managers driven by an Eastern geographic context. Therefore, cross-cultural studies in developed economies with an older population are encouraged to better understand variations in intrapreneurship. Additionally, for reliability and validity reasons, cross-validation with samples from specific industries is imperative. Cross-validation facilitates a comparative analysis of intrapreneurship across different contexts, thereby enriching our understanding of the phenomenon.

Conflict of interest

The authors declare none.

Rrezon Lajçi is a PhD candidate at TU Ilmenau and serves as a teaching and research assistant in the Management/Organization research group. He is a Master graduate from the University of Padova, Italy, specialized in Management. His main research interests revolve around intrapreneurship, proactivity at work, and work attitudes.

Gentrit Berisha, PhD, is an assistant professor of Management at Faculty of Economics, University of Prishtina. His teaching and research are focused on organizational behavior, decision-making, intrapreneurship, and business ethics.

Norbert Bach is Head of the Research Group Management & Organization and Director of the Institute of Business Administration at TU Ilmenau, Germany. He is adjunct professor of Curtin Graduate School of Business, Perth/WA (2008–2014) and visiting professor at the Whitaker Institute for Innovation and Societal Change, Galway/Ireland (2016).

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179211.CrossRefGoogle Scholar
Al-Ghazali, B. M., & Afsar, B. (2021). Narcissism and entrepreneurial intentions: The roles of entrepreneurial self-efficacy and environmental complexity. The Journal of High Technology Management Research, 32(1), .CrossRefGoogle Scholar
Alpkan, L., Bulut, C., Gunday, G., Ulusoy, G., & Kilic, K. (2010). Organizational support for intrapreneurship and its interaction with human capital to enhance innovative performance. Management Decision.CrossRefGoogle Scholar
Amo, B. W. (2006). The influence from corporate entrepreneurship and intrapreneurship on white-collar workers’ employee innovation behaviour. International Journal of Innovation and Learning, 3(3), 284298.CrossRefGoogle Scholar
Amo, B. W. (2010). Corporate entrepreneurship and intrapreneurship related to innovation behaviour among employees. International Journal of Entrepreneurial Venturing, 2(2), 144158.CrossRefGoogle Scholar
Åmo, B. W., & Kolvereid, L. (2005). Organizational strategy, individual personality and innovation behavior. Journal of Enterprising Culture, 13(01), 719.CrossRefGoogle Scholar
Antoncic, B., & Hisrich, R. D. (2001). Intrapreneurship: Construct refinement and cross-cultural validation. Journal of Business Venturing, 16(5), 495527.CrossRefGoogle Scholar
Augusto Felício, J., Rodrigues, R., & Caldeirinha, V. R. (2012). The effect of intrapreneurship on corporate performance. Management Decision, 50(10), 17171738.CrossRefGoogle Scholar
Baena‐Luna, P., Sánchez‐Torné, I., Pérez‐Suárez, M., & García‐Río, E. (2022). To what extent are PhD students intrapreneurs? A study from a gender perspective. Strategic Change, 31(2), 211218.CrossRefGoogle Scholar
Bakker, A. B., & Demerouti, E. (2007). The job demands‐resources model: State of the art. Journal of Managerial Psychology, 22(3), 309328.CrossRefGoogle Scholar
Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), .CrossRefGoogle ScholarPubMed
Bakker, A. B., Demerouti, E., & Sanz-Vergel, A. I. (2014). Burnout and work engagement: The JD–R approach. Annual Review of Organizational Psychology and Organizational Behavior, 1(1), 389411.CrossRefGoogle Scholar
Bakker, A. B., Demerouti, E., & Schaufeli, W. (2003). Dual processes at work in a call centre: An application of the job demands–resources model. European Journal of Work and Organizational Psychology, 12(4), 393417.CrossRefGoogle Scholar
Bateman, T. S., & Crant, J. M. (1993). The proactive component of organizational behavior: A measure and correlates. Journal of Organizational Behavior, 14(2), 103118.CrossRefGoogle Scholar
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588606.CrossRefGoogle Scholar
Berisha, G. (2013). Dimensionet kulturore të Hofstede-it: Kultura kosovare dhe implikimet në praktikat e resurseve humane. Albanian Socio Economic Review, 75(1), 201221.Google Scholar
Berisha, G., Krasniqi, B., Shiroka-Pula, J., & Kutllovci, E. (2021). Conflict handling styles as predictors of entrepreneurial intentions. Journal of Entrepreneurship in Emerging Economies, 13(5), 967991.CrossRefGoogle Scholar
Bernerth, J. B., & Aguinis, H. (2016). A critical review and best‐practice recommendations for control variable usage. Personnel Psychology, 69(1), 229283.CrossRefGoogle Scholar
Blanka, C. (2019). An individual-level perspective on intrapreneurship: A review and ways forward. Review of Managerial Science, 13(5), 919961.CrossRefGoogle Scholar
Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1(3), 185216.CrossRefGoogle Scholar
Brockner, J. (1988). Self-esteem at work: Theory, research, and practice (pp. 159163). MA: Lexington Books. Lexington.Google Scholar
Brown, T. A. (2015). Confirmatory factor analysis for applied research. New York: Guilford Press.Google Scholar
Browneon, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21 (2), 230258.CrossRefGoogle Scholar
Brutus, S., Ruderman, M. N., Ohlott, P. J., & Mccauley, C. D. (2000). Developing from job experiences: The role of organization‐based self‐esteem. Human Resource Development Quarterly, 11(4), 367380.3.0.CO;2-6>CrossRefGoogle Scholar
Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming (3rd ed.). New York: Routledge.CrossRefGoogle Scholar
Chan, D. (2009). So why ask me? Are self-report data really that bad? In Lance, C. E. & Vandenberg, R. J. (Eds.), Statistical and methodological myths and urban legends (pp. 309336). New York: Routledge.Google Scholar
Chiaburu, D. S., Marinova, S. V., & Lim, A. S. (2007). Helping and proactive extra-role behaviors: The influence of motives, goal orientation, and social context. Personality and Individual Differences, 43(8), 22822293.CrossRefGoogle Scholar
Chouchane, R., Fernet, C., Austin, S., & Zouaoui, S. K. (2021). Organizational support and intrapreneurial behavior: On the role of employees’ intrapreneurial intention and self-efficacy. Journal of Management & Organization, 29(2), 366382.CrossRefGoogle Scholar
Clark, D. R., Pidduck, R. J., Lumpkin, G., & Covin, J. G. (2024). Is it okay to study entrepreneurial orientation (EO) at the individual level? Yes! Entrepreneurship Theory and Practice, 48(1), 349391.CrossRefGoogle Scholar
Crant, J. M. (2000). Proactive behavior in organizations. Journal of Management, 26(3), 435462.CrossRefGoogle Scholar
Crant, J. M., & Bateman, T. S. (2000). Charismatic leadership viewed from above: The impact of proactive personality. Journal of Organizational Behavior, 21(1), 6375.3.0.CO;2-J>CrossRefGoogle Scholar
Crant, J. M., Hu, J., & Jiang, K. (2016). Proactive personality: A twenty-year review. In Parker, S. K. & Bindl, U. K. (Eds.), Proactivity at Work (pp. 211243). New York: Routledge.Google Scholar
Cumming, R. G. (1990). Is probability sampling always better? A comparison of results from a quota and a probability sample survey. Community Health Studies, 14(2), 132137.CrossRefGoogle Scholar
Davis, K. S. (1999). Decision criteria in the evaluation of potential intrapreneurs. Journal of Engineering and Technology Management, 16(3–4), 295327.CrossRefGoogle Scholar
De Jong, J. P., Parker, S. K., Wennekers, S., & Wu, C. (2011). Corporate entrepreneurship at the individual level: Measurement and determinants. EIM Research Reports. Zoetermeer: EIM, 11(13), 327.Google Scholar
De Jong, J. P., Parker, S. K., Wennekers, S., & Wu, C. H. (2015). Entrepreneurial behavior in organizations: Does job design matter? Entrepreneurship Theory and Practice, 39(4), 981995.CrossRefGoogle Scholar
Deprez, J., Peeters, E. R., & Gorgievski, M. J. (2021). Developing intrapreneurial self-efficacy through internships? Investigating agency and structure factors. International Journal of Entrepreneurial Behavior & Research, 27(5), 11661188.CrossRefGoogle Scholar
Di Fabio, A. (2014). Intrapreneurial self‐capital: A new construct for the 21st century. Journal of Employment Counseling, 51(3), 98111.CrossRefGoogle Scholar
Di Fabio, A., & Gori, A. (2016). Neuroticism and flourishing in white collar workers: From self-esteem to intrapreneurial self-capital for adaptive outcomes.Google Scholar
Dikkers, J. S., Jansen, P. G., de Lange, A. H., Vinkenburg, C. J., & Kooij, D. (2010). Proactivity, job characteristics, and engagement: A longitudinal study. Career Development International.CrossRefGoogle Scholar
Douglas, E. J., & Fitzsimmons, J. R. (2013). Intrapreneurial intentions versus entrepreneurial intentions: Distinct constructs with different antecedents. Small Business Economics, 41(1), 115132.CrossRefGoogle Scholar
Ensley, M. D., Pearson, A., & Pearce, C. L. (2003). Top management team process, shared leadership, and new venture performance: A theoretical model and research agenda. Human Resource Management Review, 13(2), 329346.CrossRefGoogle Scholar
Farrukh, M., Meng, F., & Raza, A. (2021). Believe they can succeed, and they will: Intrapreneurial behavior and leadership. European Journal of Innovation Management, 25(3), 661679.CrossRefGoogle Scholar
Fini, R., Grimaldi, R., Marzocchi, G. L., & Sobrero, M. (2012). The determinants of corporate entrepreneurial intention within small and newly established firms. Entrepreneurship Theory and Practice, 36(2), 387414.CrossRefGoogle Scholar
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Los Angeles, CA: Sage Publications Sage CA.Google Scholar
Foss, L., Woll, K., & Moilanen, M. (2013). Creativity and implementations of new ideas: Do organisational structure, work environment and gender matter? International Journal of Gender and Entrepreneurship, 5(3), 298322.CrossRefGoogle Scholar
Frese, M., & Fay, D. (2001). Personal initiative: An active performance concept for work in the 21st century. Research in Organizational Behavior, 23, 133187.CrossRefGoogle Scholar
Friedrich, J. (1996). On seeing oneself as less self-serving than others: The ultimate self-serving bias? Teaching of Psychology, 23(2), 107109.CrossRefGoogle Scholar
Fuller, C. M., Simmering, M. J., Atinc, G., Atinc, Y., & Babin, B. J. (2016). Common methods variance detection in business research. Journal of Business Research, 69(8), 31923198.CrossRefGoogle Scholar
Gawke, J. C., Gorgievski, M. J., & Bakker, A. B. (2017). Employee intrapreneurship and work engagement: A latent change score approach. Journal of Vocational Behavior, 100, 88100.CrossRefGoogle Scholar
Gawke, J. C., Gorgievski, M. J., & Bakker, A. B. (2018). Personal costs and benefits of employee intrapreneurship: Disentangling the employee intrapreneurship, well-being, and job performance relationship. Journal of Occupational Health Psychology, 23(4), .CrossRefGoogle ScholarPubMed
Gawke, J. C., Gorgievski, M. J., & Bakker, A. B. (2019). Measuring intrapreneurship at the individual level: Development and validation of the Employee Intrapreneurship Scale (EIS). European Management Journal, 37(6), 806817.CrossRefGoogle Scholar
González-Serrano, M. H., Moreno, F. C., Valantine, I., & Hervás, J. C. (2019). How to detect potential sport intrapreneurs? Validation of the intrapreneurial intention scale with sport science students. Journal of Entrepreneurship and Public Policy, 8(1), 4061.CrossRefGoogle Scholar
Grant, A. M., & Ashford, S. J. (2008). The dynamics of proactivity at work. Research in Organizational Behavior, 28, 334.CrossRefGoogle Scholar
Grant, A. M., Parker, S., & Collins, C. (2009). Getting credit for proactive behavior: Supervisor reactions depend on what you value and how you feel. Personnel Psychology, 62(1), 3155.CrossRefGoogle Scholar
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Hampshire: Cengage Learning.Google Scholar
Hall, M. (2008). The effect of comprehensive performance measurement systems on role clarity, psychological empowerment and managerial performance. Accounting, Organizations and Society, 33(2-3), 141163.CrossRefGoogle Scholar
Hassan, S. (2013). The importance of role clarification in workgroups: Effects on perceived role clarity, work satisfaction, and turnover rates. Public Administration Review, 73(5), 716725.CrossRefGoogle Scholar
Heubeck, T. (2023). The impact of dynamic managerial capabilities on firm performance: A moderated mediation analysis of German DAX firms. Journal of Management & Organization, 126.CrossRefGoogle Scholar
Hobfoll, S. E., Johnson, R. J., Ennis, N., & Jackson, A. P. (2003). Resource loss, resource gain, and emotional outcomes among inner city women. Journal of Personality and Social Psychology, 84(3), .CrossRefGoogle ScholarPubMed
Hornsby, J. S., Kuratko, D. F., Holt, D. T., & Wales, W. J. (2013). Assessing a measurement of organizational preparedness for corporate entrepreneurship. Journal of Product Innovation Management, 30(5), 937955.CrossRefGoogle Scholar
Hornsby, J. S., Kuratko, D. F., Shepherd, D. A., & Bott, J. P. (2009). Managers’ corporate entrepreneurial actions: Examining perception and position. Journal of Business Venturing, 24(3), 236247.CrossRefGoogle Scholar
Hornsby, J. S., Kuratko, D. F., & Zahra, S. A. (2002). Middle managers’ perception of the internal environment for corporate entrepreneurship: Assessing a measurement scale. Journal of Business Venturing, 17(3), 253273.CrossRefGoogle Scholar
Hornsby, J. S., Naffziger, D. W., Kuratko, D. F., & Montagno, R. V. (1993). An interactive model of the corporate entrepreneurship process. Entrepreneurship Theory and Practice, 17(2), 2937.CrossRefGoogle Scholar
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 155.CrossRefGoogle Scholar
Kahn, R. L., Wolfe, D. M., Quinn, R. P., Snoek, J. D., & Rosenthal, R. A. (1964). Organizational stress: Studies in role conflict and ambiguity.Google Scholar
Kirkman, B. L., & Rosen, B. (1999). Beyond self-management: Antecedents and consequences of team empowerment. Academy of Management Journal, 42(1), 5874.CrossRefGoogle Scholar
Kline, R. B. (1998). Structural equation modeling. New York: Guilford Press.Google Scholar
Korman, A. K. (1970). Toward an hypothesis of work behavior. Journal of Applied Psychology, 54(1p1), .CrossRefGoogle Scholar
Krasniqi, B. A., Berisha, G., & Pula, J. S. (2019). Does decision-making style predict managers’ entrepreneurial intentions? Journal of Global Entrepreneurship Research, 9(1), .CrossRefGoogle Scholar
Krasniqi, B. A., & Mustafa, M. (2016). Small firm growth in a post-conflict environment: The role of human capital, institutional quality, and managerial capacities. International Entrepreneurship and Management Journal, 12(4), 11651207.CrossRefGoogle Scholar
Kundu, S. C., Kumar, S., & Lata, K. (2021). Effects of perceived role clarity on innovative work behavior: A multiple mediation model. RAUSP Management Journal, 55(4), 457472.CrossRefGoogle Scholar
Kuratko, D. F., Hornsby, J. S., & Bishop, J. W. (2005). Managers’ corporate entrepreneurial actions and job satisfaction. International Entrepreneurship and Management Journal, 1(3), 275291.CrossRefGoogle Scholar
Kuratko, D. F., Montagno, R. V., & Hornsby, J. S. (1990). Developing an intrapreneurial assessment instrument for an effective corporate entrepreneurial environment. Strategic Management Journal, 11(Special issue), 4958.Google Scholar
Kwon, K., & Kim, T. (2020). An integrative literature review of employee engagement and innovative behavior: Revisiting the JD-R model. Human Resource Management Review, 30(2), .CrossRefGoogle Scholar
Lajçi, R., Berisha, G., & Krasniqi, B. (2022). Intrapreneurs are laterborns: Exploring the effects of birth order on managers’ entrepreneurial intentions and risk taking. International Review of Entrepreneurship, 20(4), 561584.Google Scholar
Lara-Bocanegra, A., García-Fernández, J., Bohórquez, M. R., & González-Serrano, M. H. (2022). Intrapreneurship in tennis: Tell me who you are… and I will tell you what your intentions are. In Leitão, J., Ratten, V. & Braga, V. (Eds.), Latin American and Iberian Entrepreneurship (pp. 147166). Cham: Springer.CrossRefGoogle Scholar
Lin, X. S., Chen, Z. X., Ashford, S. J., Lee, C., & Qian, J. (2018). A self-consistency motivation analysis of employee reactions to job insecurity: The roles of organization-based self-esteem and proactive personality. Journal of Business Research, 92, 168178.CrossRefGoogle Scholar
MacKinnon, D. P. (2008). Introduction to statistical mediation analysis, New York: Routledge.Google Scholar
Mara, I. (2020). Kosovo: Great expectations and major challenges facing the new government. Retrieved March 20, 2024, from https://wiiw.ac.at/uncertainty-in-turbulent-times-dlp-5237.pdf.Google Scholar
Matsuda, Y., Pierce, J. L., & Ishikawa, R. (2011). Development and validation of the Japanese version of organization-based self-esteem scale. Journal of Occupational Health, 53(3), 188196.CrossRefGoogle ScholarPubMed
McCormick, B. W., Guay, R. P., Colbert, A. E., & Stewart, G. L. (2019). Proactive personality and proactive behaviour: Perspectives on person–situation interactions. Journal of Occupational and Organizational Psychology, 92(1), 3051.CrossRefGoogle Scholar
Moores, T. T., Smith, H. J., & Limayem, M. (2018). Putting the pieces back together: Moral intensity and its impact on the four‐component model of morality. Business and Society Review, 123(2), 243268.CrossRefGoogle Scholar
Narayanan, V., Yang, Y., & Zahra, S. A. (2009). Corporate venturing and value creation: A review and proposed framework. Research Policy, 38(1), 5876.CrossRefGoogle Scholar
Neessen, P., Caniëls, M. C. J., Vos, B., & De Jong, J. P. (2019). The intrapreneurial employee: Toward an integrated model of intrapreneurship and research agenda. International Entrepreneurship and Management Journal., 15(2), 545571.CrossRefGoogle Scholar
Niemann, C. C., Mai, R., & Dickel, P. (2022). Nurture or nature? How organizational and individual factors drive corporate entrepreneurial projects. Journal of Business Research, 140, 155169.CrossRefGoogle Scholar
Nunnally, J. C. (1978). Psychometric methods. New York: McGraw-Hill.Google Scholar
Parker, S. K., & Collins, C. G. (2010). Taking stock: Integrating and differentiating multiple proactive behaviors. Journal of Management, 36(3), 633662.CrossRefGoogle Scholar
Perlines, F. H., Ariza-Montes, A., & Blanco-González-Tejero, C. (2022). Intrapreneurship research: A comprehensive literature review. Journal of Business Research, 153, 428444.CrossRefGoogle Scholar
Pierce, J. L., & Gardner, D. G. (2004). Self-esteem within the work and organizational context: A review of the organization-based self-esteem literature. Journal of Management, 30(5), 591622.CrossRefGoogle Scholar
Pierce, J. L., Gardner, D. G., Cummings, L. L., & Dunham, R. B. (1989). Organization-based self-esteem: Construct definition, measurement, and validation. Academy of Management Journal, 32(3), 622648.CrossRefGoogle Scholar
Pinchot, G., & Soltanifar, M. (2021). Digital intrapreneurship: The corporate solution to a rapid digitalisation. In Soltanifar, M., Hughes, M. & Göc ke, L. (Eds.), Digital Entrepreneurship. Future of Business and Finance (pp. 233262). Cham: Springer.CrossRefGoogle Scholar
Pinchot III, G. (1987). Innovation through intrapreneuring. Research Management, 30(2), 1419.CrossRefGoogle Scholar
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879903.CrossRefGoogle ScholarPubMed
Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36(4), 717731.CrossRefGoogle ScholarPubMed
Ramamoorthy, N., Flood, P. C., Slattery, T., & Sardessai, R. (2005). Determinants of innovative work behaviour: Development and test of an integrated model. Creativity and Innovation Management, 14(2), 142150.CrossRefGoogle Scholar
Razavi, S. H., & Ab Aziz, K. (2017). The dynamics between entrepreneurial orientation, transformational leadership, and intrapreneurial intention in Iranian R&D sector. International Journal of Entrepreneurial Behavior & Research, 23(5), 769792.CrossRefGoogle Scholar
Rigtering, J. C., & Weitzel, U. (2013). Work context and employee behaviour as antecedents for intrapreneurship. International Entrepreneurship and Management Journal, 9(3), 337360.CrossRefGoogle Scholar
Rizzo, J. R., House, R. J., & Lirtzman, S. I. (1970). Role conflict and ambiguity in complex organizations. Administrative Science Quarterly, 15(2), 150163.CrossRefGoogle Scholar
Ronen, S. (2010). Determinants of intrapreneurship among high-tech engineers. In Malach-Pines, A. & Özbilgin, M. F. (Eds.), Handbook of research on high-technology entrepreneurs (pp. 233250). Cheltenham: Edward Elgar Publishing.Google Scholar
Salanova, M., & Schaufeli, W. B. (2008). A cross-national study of work engagement as a mediator between job resources and proactive behaviour. The International Journal of Human Resource Management, 19(1), 116131.CrossRefGoogle Scholar
Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students. Harlow: Pearson Education.Google Scholar
Schaufeli, W. B. (2017). Applying the job demands-resources model. Organizational Dynamics, 46(2), 120132.CrossRefGoogle Scholar
Seibert, S. E., Crant, J. M., & Kraimer, M. L. (1999). Proactive personality and career success. Journal of Applied Psychology, 84(3), .CrossRefGoogle ScholarPubMed
Sinha, N., & Srivastava, K. B. (2013). Association of personality, work values and socio-cultural factors with intrapreneurial orientation. The Journal of Entrepreneurship, 22(1), 97113.CrossRefGoogle Scholar
Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290312.CrossRefGoogle Scholar
Souto, I., Brito, E., & Pereira, A. (2022). Self-efficacy, resilience and distress: Challenges in education for sustainable entrepreneurship in a health context. Education Sciences, 12(10), .CrossRefGoogle Scholar
Stevens, J. P. (2012). Applied multivariate statistics for the social sciences. New York: Routledge.CrossRefGoogle Scholar
Tuzun, I. K., & Kalemci, R. A. (2012). Organizational and supervisory support in relation to employee turnover intentions. Journal of Managerial Psychology, 27(5), 518534.CrossRefGoogle Scholar
Urbano, D., Alvarez, C., & Turró, A. (2013). Organizational resources and intrapreneurial activities: An international study. Management Decision, 51(4), 854870.CrossRefGoogle Scholar
Valsania, S. E., Moriano, J. A., & Molero, F. (2016). Authentic leadership and intrapreneurial behavior: Cross-level analysis of the mediator effect of organizational identification and empowerment. International Entrepreneurship and Management Journal, 12(1), 131152.CrossRefGoogle Scholar
Wen, Q., Wu, Y., & Long, J. (2021). Influence of ethical leadership on employees’ innovative behavior: The role of organization-based self-esteem and flexible human resource management. Sustainability, 13(3), .CrossRefGoogle Scholar
West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. In Hoyle, R. H. (Ed.), Handbook of structural equation modeling (pp. 209231). New York: Guilford Press.Google Scholar
World Bank. (2019). The World Bank in Kosovo: Country Snapshot, Retrieved March 20, 2024, from https://pubdocs.worldbank.org/en/945741571341607027/Kosovo-Snapshot-Oct2019.pdf.Google Scholar
Wu, X., Lyu, Y., Kwan, H. K., & Zhai, H. (2019). The impact of mentoring quality on protégés’ organization‐based self‐esteem and proactive behavior: The moderating role of traditionality. Human Resource Management, 58(4), 417430.CrossRefGoogle Scholar
Xanthopoulou, D., Bakker, A. B., Demerouti, E., & Schaufeli, W. B. (2007). The role of personal resources in the job demands-resources model. International Journal of Stress Management, 14(2), .CrossRefGoogle Scholar
Xanthopoulou, D., Bakker, A. B., Demerouti, E., & Schaufeli, W. B. (2009). Reciprocal relationships between job resources, personal resources, and work engagement. Journal of Vocational Behavior, 74(3), 235244.CrossRefGoogle Scholar
Yukongdi, V., & Lopa, N. Z. (2017). Entrepreneurial intention: A study of individual, situational and gender differences. Journal of Small Business and Enterprise Development, 24(2), 333352.CrossRefGoogle Scholar
Zeng, J., & Xu, G. (2020). How servant leadership motivates innovative behavior: A moderated mediation model. International Journal of Environmental Research & Public Health, 17(13), .CrossRefGoogle ScholarPubMed
Zhang, C. X., Kimbu, A. N., Lin, P., & Ngoasong, M. Z. (2020). Guanxi influences on women intrapreneurship. Tourism Management, 81, .CrossRefGoogle Scholar
Figure 0

Figure 1. Hypothesized framework.

Figure 1

Table 1. Demographic characteristics of the sample

Figure 2

Table 2. Factor loadings and fit indices of study measures

Figure 3

Table 3. Validity of measures and correlations

Figure 4

Table 4. Results of regression analyses

Figure 5

Figure 2. Interaction graph of the proactivity with top management support on intrapreneurial intentions.

Figure 6

Figure 3. Interaction graph of the proactivity with role clarity on intrapreneurial intentions.

Figure 7

Table 5. Conditional effects of the focal predictor at values of the moderators

Figure 8

Table 6. Results of conditional indirect effects