Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-23T19:29:48.180Z Has data issue: false hasContentIssue false

Disentangling the Link between Diverse Social Networks and Creativity: The Role of Personality Traits

Published online by Cambridge University Press:  28 April 2023

Elia Soler-Pastor*
Affiliation:
Universitat Pompeu Fabra (Spain)
Magdalena Bobowik
Affiliation:
Euskal Herriko Unibertsitatea (Spain)
Verónica Benet-Martínez
Affiliation:
Universitat Pompeu Fabra (Spain) ICREA (https://www.icrea.cat/es/icrea-academia)
Lydia Repke
Affiliation:
GESIS - Leibniz-Institut für Sozialwissenschaften (Germany)
*
Correspondence concerning this article should be addressed to Elia Soler-Pastor. Universitat Pompeu Fabra. Departament de Ciències Polítiques i Socials. Ramon Trias Fargas, 25–27, Edifici Jaume I (campus de la Ciutadella). 08005 Barcelona (Spain). E-mail: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Past studies have shown that being exposed to ethnocultural diversity can positively impact individual creativity. Yet, little is known about the interplay between situational (i.e., diversity) and dispositional (e.g., personality) factors in predicting creativity. Taking a person-situation approach, we use social network data to test the moderating role of personality in the relationship between having an ethnoculturally diverse network and creativity. Moreover, we investigate these questions in a diverse community sample of immigrants residing in the city of Barcelona (N = 122). Moderation analyses revealed that network diversity predicted higher levels of creativity in migrant individuals with medium to high levels of extraversion, and in those with low to medium levels of emotional stability. These results highlight the need to acknowledge the important role played by interacting individual-level dispositions and more objective meso-level contextual conditions in explaining one’s ability to think creatively, especially in samples that have traditionally been underrepresented in previous literature.

Type
Research Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Universidad Complutense de Madrid and Colegio Oficial de la Psicología de Madrid

One common belief is that diversity is the mother of creativity. Introducing ‘diversity and creativity’ in any Internet search engine yields around two million hits. Research has shown that creativity, that is, generating novel and useful ideas (Amabile, Reference Amabile1983), is indeed higher among individuals who have been exposed to ethnocultural diversity (Leung et al., Reference Leung, Maddux, Galinsky and Chiu2008; Leung & Chiu, Reference Leung and Chiu2008; Maddux et al., Reference Maddux, Adam and Galinsky2010). Specifically, multicultural diversifying experiences provide access to different and novel knowledge systems, which is the basis for creativity (Cheng & Tan, Reference Cheng, Tan, Kim and McKay–Semmler2017; Dunne, Reference Dunne2017).

Interacting with people from different cultural origins is considered a deep multicultural experience (Aytug et al., Reference Aytug, Rua, Brazeal, Almaraz and González2018). Most studies on the impact of intercultural relationships on creativity, though, stem from the organizational (e.g., Lu et al., Reference Lu, Hafenbrack, Eastwick, Wang, Maddux and Galinsky2017) and intergroup contact (e.g., Vezzali et al., Reference Vezzali, Gocłowska, Crisp and Stathi2016) literatures, and focus on subjective (e.g., recalling) or experimental experiences of contact. A few studies have used social network approaches to study how diverse aspects of the composition and structure of individuals’ networks within their organization (i.e., professional networks) may predict creativity (e.g., Chua, Reference Chua2018; Dolgova et al., Reference Dolgova, van Olffen, van den Bosch and Volberda2010; Jang, Reference Jang2017; Perry-Smith & Shalley, Reference Perry–Smith and Shalley2014). To our knowledge, only two studies have examined the effects on creativity of actual ethnocultural diversity in individuals’ habitual social networks -outside the organizational arena (Bobowik, Benet-Martínez, Repke, & Soler-Pastor, Reference Bobowik, Benet–Martínez, Repke and Soler–Pastor2022; Chua, Reference Chua2013). This prior research shows that culturally heterogeneous networks promote the flow of novel ideas from cultures other than one’s own. One (unpublished) study found that ethnocultural diversity within one’s personal social network predicted better creative performance in an immigrant sample (Bobowik, Benet-Martínez, Repke, & Soler-Pastor, Reference Bobowik, Benet–Martínez, Repke and Soler–Pastor2022).Footnote 1

Creative skills may be particularly relevant for migrant individuals who are inevitably in constant contact with a culturally diverse environment and under a high pressure to learn and accommodate to a new cultural setting. Their experiences of intercultural contact may be qualitatively different (e.g., discrimination, pressure to accommodate to the dominant culture) from those of the typically studied W.E.I.R.D. (White, Educated, Industrialized, Rich, Democratic) participants (Henrich et al., Reference Henrich, Heine and Norenzayan2010). Yet, prior research on the role of intercultural experiences in boosting creative performance has mostly relied on privileged samples of bicultural individuals, such as highly skilled international professionals (e.g., Lu et al., Reference Lu, Hafenbrack, Eastwick, Wang, Maddux and Galinsky2017) and students (e.g., Lee et al., Reference Lee, Therriault and Linderholm2012; Maddux et al., Reference Maddux, Adam and Galinsky2010), and -with the exception of Bobowik, Benet-Martínez, Repke, & Soler-Pastor, Reference Bobowik, Benet–Martínez, Repke and Soler–Pastor2022)- little is known regarding the link between diversity and creative performance among immigrants.

Beyond contextual factors, such as diversity, personality has also been argued to predict creativity (see Feist, Reference Feist1998). Further, due to the interplay between personality characteristics and the context, people tend to seek scenarios that facilitate behavioral expression of their traits (Ickes et al., Reference Ickes, Snyder, Garcia, Hogan, Johnson and Briggs1997). Yet, the literature examining the link between intercultural experiences and creativity has largely neglected the interplay between contextual (i.e., diversity) and individual (e.g., personality) ingredients of creativity (for an exception, see Leung et al., Reference Leung, Maddux, Galinsky and Chiu2008).

In the current research, we test the moderating role of the Big Five personality dimensions (Goldberg, Reference Goldberg1990; McCrae & John, Reference McCrae and John1992) in the link between social network ethnocultural diversity and creative performance, and we do so in a community sample of immigrants of diverse.

The Role of Personality in the Diversity-Creativity Link

The person-environment or interactionist framework (Duan & Li, Reference Duan and Li2018; Duan et al., Reference Duan, Li, Tang, Zhang and Cheng2019; Livingstone et al., Reference Livingstone, Nelson and Barr1997; Mischel & Shoda, Reference Mischel and Shoda1995) proposes that particular contexts or situational demands motivate specific responses in people depending on their personality traits. In other words, personality traits are activated and/or expressed in response to trait-relevant situations (Dolgova et al., Reference Dolgova, van Olffen, van den Bosch and Volberda2010), and this may differently shape people’s behavioral responses to such situations. For example, as Duan et al. (Reference Duan, Li, Tang, Zhang and Cheng2019) mention, when novel ideas encounter resistance from the environment, some individuals - maybe those that are more agreeable and introverted - may give up on these ideas in order to maintain good relationships and group harmony.

The literature examining the link between intercultural experiences and creativity has largely neglected the interplay between contextual (e.g., intercultural experience) and dispositional (e.g., personality) ingredients of creativity, even though some authors have suggested that an interactionist perspective would help us further understand creative behavior (Zhou & Hoever, Reference Zhou and Hoever2014).

In this line, some scholars have recently suggested that intercultural experiences may not be sufficient themselves for enhancing creativity. On the one hand, it has been proposed that only individuals with high dispositional plasticity, —understood as a tendency toward flexible behavior and a propensity to seek, accept and include diverse and novel information (Mischel, Reference Mischel2004; Silvia et al., Reference Silvia, Winterstein, Willse, Barona, Cram, Hess, Martinez and Richard2008)—, show capacity to assimilate or accommodate environmental variability and use it to innovate (Chang et al., Reference Chang, Su, Chen, Feist, Reiter–Palmon and Kaufman2017). Accordingly, creativity as a result of exposure to intercultural settings would be magnified for those individuals who exhibit higher levels of dispositional plasticity. On the other hand, not much is known about the role in creativity of another type of personality factor, dispositional stability. This disposition involves traits related to effectively coping with negative emotions, controlling one’s impulses, caring about social norms, and being friendly with others (Feist, Reference Feist2019). It reflects a tendency toward organized and controlled behavior (Silvia et al., Reference Silvia, Winterstein, Willse, Barona, Cram, Hess, Martinez and Richard2008). Even though plasticity has generally revealed larger and more consistent effects, stability shows medium effect sizes, generally in the opposite direction (Silvia et al., Reference Silvia, Nusbaum, Berg, Martin and O’Connor2009). Little is known, though, about the role of the aspects of personality related to dispositional stability in the link between intercultural experiences and creativity.

Plasticity and stability have been found to predict creativity independently (Silvia et al., Reference Silvia, Nusbaum, Berg, Martin and O’Connor2009). However, previous creativity studies using personality have focused in one or two factors, generally related to plasticity, such as openness to experience (Sung & Choi, Reference Sung and Choi2019). Moreover, with the exception of openness to experience, the lack of robust evidence in the literature linking personality traits to creativity suggests that researchers should move beyond models that include personality only as a director predictor, and think of it as a potential moderating variable. In the current study, we take a comprehensive approach and empirically test the moderating role of all Big Five (Goldberg, Reference Goldberg1990; McCrae & John, Reference McCrae and John1992) personality traits related to both plasticity and stability, in the relationship between ethnocultural network diversity and creativity.

The Role of Plasticity: Openness and Extraversion

Personality traits reflecting plasticity, that is, openness to experience (Gocłowska et al., Reference Gocłowska, Ritter, Elliot and Baas2019; McCrae, Reference McCrae1987; Scratchley & Hakstian, Reference Scratchley and Hakstian2001; Williams, Reference Williams2004) and extraversion (Gocłowska et al., Reference Gocłowska, Ritter, Elliot and Baas2019; Kaufman et al., Reference Kaufman, Quilty, Grazioplene, Hirsh, Gray, Peterson and Deyoung2016), have been identified as the strongest direct predictors of creativity and divergent thinking (see reviews by Feist, Reference Feist2019, and Puryear et al., Reference Puryear, Kettler and Rinn2016; see also Karwowski & Lebuda, Reference Karwowski and Lebuda2016; Silvia et al., Reference Silvia, Winterstein, Willse, Barona, Cram, Hess, Martinez and Richard2008). Openness to experience, which reflects the tendency to be curious, flexible, and open to novel experiences, has traditionally been creativity’s most robust predictor (Batey & Furnham, Reference Batey and Furnham2006; Batey et al., Reference Batey, Furnham and Safiullina2010; Feist, Reference Feist2019). Although in a less consistent manner (Furnham & Bachtiar, Reference Furnham and Bachtiar2008; Furnham et al., Reference Furnham, Batey, Anand and Manfield2008; Zhou & Hoever, Reference Zhou and Hoever2014), the confidence and excitement-seeking components of extraversion are also positively related to creative thought and achievement (Feist, Reference Feist2019).

Culturally diversifying experiences involve exposure to new and unfamiliar ideas from different cultures, which may be transformed into intellectual resources for creative expansion (Leung & Chiu, Reference Leung and Chiu2008). Individuals high in plasticity should be more curious and receptive of these ideas, and less inclined to cling on to conventional ideas of their own culture (Leung & Chiu, Reference Leung and Chiu2008). Moreover, their higher motivation to interact and communicate with dissimilar others would also facilitate the sharing of knowledge and exchange of ideas (Guo et al., Reference Guo, Su and Zhang2017). Only a few studies have empirically examined the interaction between diversity and plasticity in predicting creative behavior. Guo et al. (Reference Guo, Su and Zhang2017) found that extraverted and open individuals performed more creatively when working in groups characterized by high functional and gender diversity. Regarding ethnocultural diversity, Leung and Chiu (Reference Leung and Chiu2008) found that having extensive multicultural experiences (e.g., living abroad, exposure to different cultures, having friends from different countries) benefited creativity among individuals who were open to experience. Similarly, Cho and Morris (Reference Cho and Morris2015) found that the positive relationship between studying abroad and generating unconventional solutions to problem-solving tasks was facilitated by openness to experience. Finally, Chen and colleagues (Reference Chen2016) showed that, when exposed to cultural mixing, open individuals performed better on creative tasks involving cultural threat. Based on the positive (direct and moderated) links between plasticity and creativity found in this previous research, we formulated the following hypotheses, specific to ethnocultural network diversity:

H 1: Openness to experience moderates the effects of ethnocultural network diversity on creativity, with the effects of diversity on creativity being stronger for people who score high on openness to experience.

H 2: Extraversion moderates the effects of ethnocultural network diversity on creativity, with the effects of diversity on creativity being stronger for people who score high on extraversion.

The Role of Stability: Conscientiousness, Agreeableness, and Emotional Stability

The personality dispositions reflecting dispositional stability include: Agreeableness (disposition to be warm, compliant and empathetic with others), conscientiousness (disposition to control one’s impulses, preference for order, structure and detail), and emotional stability (the tendency to be even-tempered particularly in challenging situations).Footnote 2

The literature generally finds that the traits capturing stability are negatively related to creative thinking (Feist, Reference Feist2019; Karwowski & Lebuda, Reference Karwowski and Lebuda2016; Silvia et al., Reference Silvia, Nusbaum, Berg, Martin and O’Connor2009), although this relationship is weaker compared to plasticity. Agreeable individuals, for instance, tend to avoid interpersonal conflict, appease others, and generally be more conforming; therefore, they may refrain from proposing or exchanging their ideas and opinions in contexts characterized by diversity. Some studies show that low agreeableness (e.g., arrogance, hostility) is related to greater creativity (Batey et al., Reference Batey, Furnham and Safiullina2010; Feist, Reference Feist1998; Furnham et al., Reference Furnham, Crump, Batey and Chamorro–Premuzic2009; King et al., Reference King, Mc Kee Walker and Broyles1996; Silvia et al., Reference Silvia, Kaufman, Reiter–Palmon and Wigert2011). Some studies, though, have found an opposite relationship, i.e., a positive link between agreeableness and creativity (Batey & Furnham, Reference Batey and Furnham2006; Feist, Reference Feist1998, Reference Feist2019; Silvia et al., Reference Silvia, Winterstein, Willse, Barona, Cram, Hess, Martinez and Richard2008, Reference Silvia, Nusbaum, Berg, Martin and O’Connor2009). Guo et al. (Reference Guo, Su and Zhang2017) hypothesized that (functional and gender) group diversity would interact with agreeableness to predict creativity. On the one hand, since agreeable people tend to have a more positive attitude toward diversity (Strauss et al., Reference Strauss, Connerley and Ammermann2003), and be more flexible and sympathetic (Puryear et al., Reference Puryear, Kettler and Rinn2016), they hypothesized that information variety -resulting from functional diversity- would benefit their levels of creativity. On the other hand, agreeable people tend to avoid interpersonal conflict, by not voicing their opinions or exchanging their knowledge -especially if these differ from others’. As pointed by Guo et al. (Reference Guo, Su and Zhang2017), there are also gender differences in this agreeable conflict-avoidant tendency (i.e., for females it will be more pronounced than for males). Thus, the authors expected gender diversity to negatively moderate the relationship between agreeableness and creativity. However, they did not find evidence for any of those moderating relationships. Therefore, we had no specific hypotheses for the moderating relationship of agreeableness in the link between diversity and creativity, and took an explorative approach.

Conscientiousness has consistently been positively linked to job performance, since this trait entails being reliable, hardworking, and organized. Some authors have shown, though, that conscientiousness hinders creativity, given that its characteristic elements (e.g., willingness to conform to norms, tendency to control one’s impulses) are inconsistent with the openness to new ideas and the desire to seek change that motivate creative behavior (Guo et al., Reference Guo, Su and Zhang2017). According to Feist’s meta-analysis (1998), the direction of the effect seems to also be domain-specific. In the scientific domain, the relationship of conscientiousness with creativity is positive, while in the artistic domain it is negative.Footnote 3 Guo et al. (Reference Guo, Su and Zhang2017) specifically hypothesize that diverse group contexts may harm conscientious individuals’ creativity, given these individuals’ preference for certainty, their rigid and systematic thinking tendencies, and their dependency on preestablished norms and standards. However, in their exploration they found no significant interactions between diversity and conscientiousness in predicting creative behavior. Again, we had no particular hypotheses regarding the role of conscientiousness. Thus we exploratively tested the interactive relationship between ethnocultural diversity in individuals’ social networks and conscientiousness in predicting creativity.

Finally, most studies (including a meta-analysis by Feist, Reference Feist1998) have found that creative people are generally low in emotional stability (see also Batey et al., Reference Batey, Furnham and Safiullina2010; Furnham et al., Reference Furnham, Batey, Anand and Manfield2008). The distinctive sensibility and perspective of neurotic (a.k.a., low in emotional stability) individuals, which leads to lower cognition and behavior inhibition, as well as to higher independence and normative challenging behavior, helps them generate creative ideas more fluently (Feist, Reference Feist1998; Gao et al., Reference Gao, Zhang, Ma and Du2020; Guo et al., Reference Guo, Su and Zhang2017). However, some authors have found a null (King et al., Reference King, Mc Kee Walker and Broyles1996), more complex, or even opposite relationship. For example, Chamorro-Premuzic & Reichenbacher (Reference Chamorro–Premuzic and Reichenbacher2008) found that neurotic individuals are less creative -particularly when under threat of evaluation and when they are also introverted. Kirsch et al. (Reference Kirsch, Lubart and Houssemand2016) found that emotional stability boosted creativity in artists but hindered it in social scientists. Following an interactionist perspective, Guo et al. (Reference Guo, Su and Zhang2017) showed that, under high levels of group functional diversity, neuroticism had a negative effect on individual creativity. They argue that the increase of new and diverse information generates a challenging context that requires more complex information processing and integration. Individuals with low emotional stability will find it difficult to remain calm in these challenging circumstances, and thus their abilities to process, integrate, and combine the new information in creative ways will be hindered. This is supported by other studies that find that positive affect, a calm attitude and self-confidence -as components of emotional stability- motivate individuals to seek new and divergent knowledge (Park et al., Reference Park, Shim, Hai, Kwon and Kim2022), and improve their ability to adapt to new situations (Driskell et al., Reference Driskell, Goodwin, Salas and Gavan O’Shea2006), which ultimately facilitates the creative process (Batey et al., Reference Batey, Furnham and Safiullina2010; Gao et al., Reference Gao, Zhang, Ma and Du2020). In other words, emotionally stable individuals are better equipped to manage and adapt themselves to new, uncertain, unpredictable or challenging environments (Park et al., Reference Park, Shim, Hai, Kwon and Kim2022), such as those potentially created by intercultural interactions. Thus, taking an interactionist perspective -based on Guo et al. (Reference Guo, Su and Zhang2017)- that considers the role of emotional stability in a context of ethnocultural (network) diversity, we hypothesized that:

H 3: Emotional stability moderates the effects of ethnocultural network diversity on creativity, with the effects of diversity on creativity being stronger for people who score high on emotional stability.

Current Research

The current study tests the interaction between ethnocultural diversity within individuals’ social networks and personality in predicting creative performance in a domain-general task (Alternate Uses Task, Guilford et al., Reference Guilford1967). We present secondary data analyses from a previous study (Bobowik, Benet-Martínez, & Repke, Reference Bobowik, Benet–Martínez and Repke2022, see Appendix) in which we examined the differential role of several compositional and structural social network measures in creativity. In the current investigation, we apply the person-environment interactionist framework (Dolgova et al., Reference Dolgova, van Olffen, van den Bosch and Volberda2010; Duan et al., Reference Duan, Li, Tang, Zhang and Cheng2019; Guo et al., Reference Guo, Su and Zhang2017), and consider that neither personal nor environmental factors can independently impact creativity. Rather, creative thinking and behavior can be better understood when personal factors, environmental factors, and their interaction, are contemplated (Duan et al., Reference Duan, Li, Tang, Zhang and Cheng2019). Within this approach, we explore the interactive relationship between an objective, meso-level factor (i.e., ethnocultural social network diversity) and subjective, individual-level factors (i.e., personality), in explaining creative behavior.

To capture diversity among immigrants’ habitual relationships, we adopt social network analysis, an innovative methodology that maps onto actual contact between individuals (Borgatti et al., Reference Borgatti, Mehra, Brass and Labianca2009).Footnote 4 We argue that the objective meso-level contextual conditions (i.e., ethnocultural social network diversity) and psychological individual-level processes (i.e., personality) may jointly define social realities (Bobowik et al., Reference Bobowik, Benet–Martínez and Repke2021; Robins & Kashima, Reference Robins and Kashima2008) and individual outcomes, including one’s ability to generate creative solutions. Moreover, we conduct this study with a community sample of immigrants residing in the city of Barcelona, a social group that has been highly underrepresented in research on creativity.

We hypothesize that openness to experience, extraversion, and emotional stability interact with ethnocultural social network diversity to predict creativity. We approach the relationships with agreeableness and conscientiousness in an exploratory manner. Together, we propose that the effects of network diversity on generating creative ideas may be magnified (or reduced) for some individuals, depending on their dispositional nature (i.e., personality traits).

Method

Participants and Procedure

Participants of this study were 122 adults with immigrant background who lived in the metropolitan area of Barcelona (59% female, mean age M = 33.05 years, SD = 10.33). Most of them were foreign-born (92.6%), and 7.4% were second-generation migrants (born in Spain with at least one parent born outside of Spain). Participants were from Ecuador (n = 30, 66.7% females, mean age M = 32, SD = 11.28), Morocco (n = 30, 63.3% females, mean age M = 30, SD = 11.24), Pakistan (n = 31, 38.7% females, mean age M = 29, SD = 8.31) or Romania (n = 31, 67.7% females, mean age M = 38, SD = 8.32).Footnote 5

The data were collected in two stages. During the first stage, a larger number of participants (N = 216) was recruited through relevant cultural, religious, and immigrant-related organizations in Barcelona (see Repke & Benet-Martínez, Reference Repke and Benet–Martínez2018), and social network, acculturation and identity data were collected. One to two years later, participants were contacted again to participate in a study that included measures of creativity, intergroup attitudes, and multicultural experiences. Participants filled in the questionnaires in individual or small group sessions on the assisting organizations’ premises or in the university laboratory. Each participant received monetary compensation (€15) for their participation in each of the study stages. One random participant received the prize of 150 euros that we raffled among them.

Measures

Ethnocultural network diversity. Participants received the following instructions: ‘Please, give us the names of 25 persons you know (of any culture or ethnicity), with whom you have had regular contact in the past two years, either face-to-face, by phone, mail or e-mail, and whom you could still contact if you had to.’ After providing all names, they were asked to provide information about each contact’s ethnicity/culture (‘What is the ethnicity/culture of [name]?’, choosing between four categories: (a) Moroccan/Pakistani/ Ecuadorian/Romanian, (b) Catalan, (c) Spanish, and (d) Other), and the place of birth and residence (‘Where was [name] born?’ and ‘Where does [name] live?’ with the same four categories). The network diversity index reflects the probability that two randomly selected contacts are from different ethnic/cultural groups, considering three groups (i.e., coethnic, host national, and other-ethnicity contacts; for detailed formula, see Repke & Benet-Martínez, Reference Repke and Benet–Martínez2018). This variable was constructed based on a commonly used fractionalization measure (e.g., Fearon, Reference Fearon2003).

Creativity. We used the Alternate Uses Task (Guilford et al., Reference Guilford1967), which researchers have widely applied to assess divergent thinking processes and creativity (e.g., Leung & Chiu, Reference Leung and Chiu2008; Tadmor, Galinsky, et al., Reference Tadmor, Galinsky and Maddux2012; Tadmor, Satterstrom, et al., Reference Tadmor, Satterstrom, Jang and Polzer2012). During the creativity task, participants had four minutes to list as many uses for three common household items: a plastic bottle, a brick and a cardboard box. The items were presented to participants in pictorial and word format, and randomized order. A team of two independent raters coded the creativity dimensions of fluency, flexibility, and originality. Fluency was operationalized as the number of uses participants generated for each of the three objects (after eliminating repetitive responses). We calculated the mean score for overall fluency across the three objects. We used the number of different categories generated as an indicator of flexibility. The various uses for each object were divided into categories via discussion between the raters, and guided by the work of some authors (Gilhooly et al., Reference Gilhooly, Fioratou, Anthony and Wynn2007; Glover & Gary, Reference Glover and Gary1976; Leung & Chiu, Reference Leung and Chiu2008; Markman et al., Reference Markman, Lindberg, Kray and Galinsky2007; Tadmor, Galinsky, & Maddux, Reference Tadmor, Galinsky and Maddux2012). Some examples of categories for a plastic bottle were: liquid container, gardening, sound and music, weapons. Again, we calculated the overall mean score of flexibility across the three objects. Originality captured the degree of novelty and usefulness of each generated use, following Amabile (Reference Amabile1983). Originality was measured on a scale from 1 (not at all creative) to 5 (extremely creative) (see Tadmor, Galinsky, & Maddux, Reference Tadmor, Galinsky and Maddux2012; Tadmor, Satterstrom, et al., Reference Tadmor, Satterstrom, Jang and Polzer2012). We calculated the mean degree of originality per use across the three objects. Following some previous authors (Batey & Furnham, Reference Batey and Furnham2008; Batey et al., Reference Batey, Furnham and Safiullina2010), we used the standardized scores of fluency, flexibility, and originality, to calculate an average composite score that constitutes a more comprehensive measure of creativity than each individual score. The reliability of the three dimensions that composed the creativity score was acceptable (α = .66). When testing together the nine rated coefficients representing every creativity dimension for each object (i.e., fluency for each object, flexibility for each object, originality for each object) we obtained a good level of internal consistency (α = .82).

Responses were coded by a team of two independent raters. The two raters did a practice round of creativity ratings with a subsample of eight individuals (two from each ethnic origin), to feel confident about the ratings and understand each creativity component. A third person helped during this consensus-building phase. Then, they rated another subsample of N = 46 individuals. An average of the ratings of both coders (N = 54 participants) was computed for each dimension. The remaining responses (N = 68) were rated by one of the two coders. A high inter-rater reliability was achieved for all dimensions.Footnote 6

Personality. Personality was measured using the Ten-Item Personality Inventory (TIPI; Gosling et al., Reference Gosling, Rentfrow and Swann2003). TIPI is a very short instrument that has shown optimized validity, also in the Spanish context (Renau et al., Reference Renau, Oberst, Gosling, Rusiñol and Chamarro Lusar2013). Two items were used to represent each of the five personality dimensions: openness (“open to new experiences,” “complex”), conscientiousness (“dependable,” “self-disciplined”), extraversion (“extraverted,” “enthusiastic”), agreeableness (“critical,” “quarrelsome”), and emotional stability (“calm,” “emotionally stable”). Participants were asked to indicate the extent to which the distinct pairs of personality traits applied to them, even if one characteristic applied more strongly than the other, on a 7-point Likert scale ranging from 0 (strongly disagree) to 6 (strongly agree).

Control variables. We included gender and age as control variables in our models because these variables have been shown to be predictive of creativity in previous research (e.g., Abraham, Reference Abraham2016; Aytug et al., Reference Aytug, Rua, Brazeal, Almaraz and González2018). Gender was conceived as a binary variable (1 = male, 2 = female). Age was measured as a continuous variable.

Results

Descriptive Analyses

We carried out bivariate correlation analyses (see Table 1). The relationship between ethnocultural network diversity and creativity was significantly positive (r = .19, p = .036), as expected from previous literature (Wiruchnipawan & Chua, Reference Wiruchnipawan, Chua, Leung, Kwan and Liou2018), and already reported in Bobowik, Benet-Martínez, Repke, & Soler-Pastor (Reference Bobowik, Benet–Martínez, Repke and Soler–Pastor2022). As per the links with personality, the only personality dimensions that were directly correlated with creativity were openness to experience (r = .22, p = .013) and extraversion (r = .22, p = .016). Finally, ethnocultural network diversity was positively and significantly associated only with openness (r = .19, p = .038), but not with other personality traits. These results also reveal that our contextual predictor (i.e., ethnocultural network diversity) and our moderating variables (i.e., personality traits) were largely unrelated and independent.

Table 1. Means, Standard Deviations and Bivariate Correlation Coefficients for all Variables in this Study

Note. Creative Performance = composite average score calculated from the standardized scores of fluency, flexibility, and originality means; SN = Social Network; N = 122 (except for Extraversion, N = 121).

* p < .05.

** p < .01.

Ethnocultural Network Diversity, Personality and Creativity: Regression Results

We conducted hierarchical regressions to explore the predicting value of ethnocultural network diversity, personality, and their interaction for creativity. All the models included gender and age as control variables. Network diversity and personality were introduced in Step 1, and their interaction in Step 2. Gender and age were included in both steps. To avoid overfitting, considering the small size of our sample (N = 122), we ran separate models for each personality trait.

Results in Table 2 show that, in Step 1, ethnocultural social network diversity significantly predicted creativity in the models including conscientiousness, agreeableness, and emotional stability. It was only a marginally significant predictor, though, in the models with openness and extraversion. Regarding the main effects of personality traits, only openness and extraversion showed a significant association with creativity.

Table 2. Creativity Predicted by Ethnocultural Social Network Diversity, Personality, and their Interaction

Note. Controlled gender and age. Model 1: Step 1, F(4, 117) = 2.707. p = .034, and Step 2, F(5, 116) = 2.515. p = .034; Model 2: Step 1, F(4, 117) = 1.570. p = .187, and Step 2, F(5, 116) = 1.266. p = .283; Model 3: Step 1, F(4, 116) = 2.689. p = .035, and Step 2, F(5, 115) = 3.162. p = .010; Model 4: Step 1, F(4, 117) = 1.737. p = .146, and Step 2, F(5, 116) = 1.598. p = .166; Model 5: Step 1, F(4, 117) = 1.659, p = .164; and Step 2, F(5, 116) = 2.204, p = .059. SN = Social Network. N = 121 (except model with Extraversion, N = 120). Bold = statistically significant coefficients; Italic = marginally significant coefficients.

Results for Step 2 show that only the interactions between network diversity and extraversion, and between network diversity and emotional stability were significant. There were no significant interactions with openness, conscientiousness, or agreeableness. These results thus yield initial support for our hypotheses H 2 and H 3, but not for H 1.Footnote 7

Ethnocultural Network Diversity and Creativity: Moderation by Extraversion and Emotional Stability

We used the SPSS macro PROCESS (Model 1) to visualize the conditional effects of network diversity on creativity, at different levels of extraversion and emotional stability. In all analyses, we controlled for gender and age. Results in Table 3 and slopes visualized in Figures 1 and 2 show that network diversity was associated with more creativity among those participants who scored medium (mean) or high (+1 SD above the mean) on extraversion, but not among those with low (–1 SD below the mean) scores on this trait. In contrast, network diversity predicted higher creativity among those with low (–1 SD below the mean) or medium (mean) levels of emotional stability, but not among those with high (+1 SD above the mean) scores on this personality dimension. When visualizing with more detail the regions of significance for these conditional effects, using the Johnson-Neyman technique (see Lin, Reference Lin2020), we observed that the conditional effects of extraversion appear in individuals that scored 3.50 or above on the 0–6 scale. The effects of emotional stability show in those who scored 3.80 or below.

Table 3. Conditional Effects of Ethnocultural Social Network Diversity on Creativity, at Different Levels of Extraversion and Emotional Stability

Note. Controlled gender, and age. Low levels = –1 SD below the mean; Medium levels = mean; High levels = –1SD above the mean. SN = Social Network. Bold = statistically significant coefficients; Italic = marginally significant coefficients.

Figure 1. Effects of Ethnocultural Social Network Diversity on Immigrants’ Creativity, Moderated by Extraversion.

Note. Creative Performance = composite average score calculated from the standardized scores of fluency, flexibility, and originality means; SN = Social Network; N = 121.

Figure 2. Effects of Ethnocultural Social Network Diversity on Immigrants’ Creativity, Moderated by Extraversion

Note. Creative Performance = composite average score calculated from the standardized scores of fluency, flexibility, and originality means; SN = Social Network; Emot Stab. = Emotional Stability; N = 122.

These results support our hypothesis H 2, in which we expected the effects of creativity to be stronger for extraverted individuals. However, they go in the opposite direction to our H 3, which states that emotionally stable individuals are more creative in contexts of diversity. Instead, those lower in emotional stability exhibit higher levels of creativity. As shown in Figure 2, participants high in emotional stability perform more creatively than those lower in emotional stability in contexts of low social network diversity. However, their creativity levels remain equivalent (neither decreasing nor increasing) as social network diversity increases. Individuals with medium or low levels of emotional stability perform less creatively than their emotionally stable counterparts in low social network diversity contexts. However, in contexts of high social network diversity, their levels of creativity increase and reach higher levels than those of highly emotionally stable participants.

Discussion

Research has shown that both ethnocultural diversity (e.g., Aytug et al., Reference Aytug, Rua, Brazeal, Almaraz and González2018; Jang, Reference Jang2017) and personality (e.g., Feist, Reference Feist1998; Reference Feist2019) have the potential to impact creativity. However, lack of consistent and strong evidence in the literature linking personality traits to creativity (i.e., all except openness), suggests that personality may function more as a moderating factor rather than as a direct predictor. Moreover, the person-environment interactionist perspective poses that certain contexts facilitate the expression of personality traits that fit them (Dolgova et al., Reference Dolgova, van Olffen, van den Bosch and Volberda2010). Thus, studying the interaction of both situational and individual factors can provide a more comprehensive picture of the mechanisms underlying creative performance (Park et al., Reference Park, Shim, Hai, Kwon and Kim2022). Little is known, however, about the interaction between contextual ethnocultural diversity and personality (for an exception, see Leung & Chiu, Reference Leung and Chiu2008). In addition, the few studies that have explored how ethnocultural social network diversity influences creativity stem from the organizational area (e.g., Jang, Reference Jang2017) or use W.E.I.R.D. student/professional samples (e.g., Chua, Reference Chua2018). The impact of immigration-based multicultural experiences on creative performance remains heavily understudied and unclear (for exceptions, see Bobowik, Benet-Martínez, Repke, & Soler-Pastor, Reference Bobowik, Benet–Martínez, Repke and Soler–Pastor2022; Franzoni et al., Reference Franzoni, Scellato and Stephan2014).

To fill these gaps, in the current study we examined how ethnocultural diversity within immigrants’ habitual social networks interacts with personality to predict their creative performance in the Unusual Uses Test (Guilford, Reference Guilford1967). We argued that certain personality traits (i.e., openness, extraversion, and emotional stability) would magnify creativity, and we explored the moderating role of agreeableness and conscientiousness.

Our results show that social network ethnocultural diversity exerted significant main effects on creativity -in the models that controlled for the effects of conscientiousness, agreeableness, or emotional stability-, which supports previous research on the direct effects of social network diversity on creativity (Chua, Reference Chua2018; Wiruchnipawan & Chua, Reference Wiruchnipawan, Chua, Leung, Kwan and Liou2018). However, network diversity was only a marginally significant predictor in the models that included either openness or extraversion. These results suggest that certain personality dispositions (e.g., being open-minded) might be more relevant predictors of creativity than contextual diversity, at least in our immigrant sample.

One of the relevant findings in our study is the role of dispositional plasticity, including the traits of openness to experience and extraversion, in predicting creativity among immigrants. These results align well with the research that shows that those two traits are the strongest predictors of creativity (Feist, Reference Feist2019; Karwowski & Lebuda, Reference Karwowski and Lebuda2016; Puryear et al., Reference Puryear, Kettler and Rinn2016; Silvia et al., Reference Silvia, Winterstein, Willse, Barona, Cram, Hess, Martinez and Richard2008), while personality traits related to stability (i.e., emotional stability, agreeableness, and conscientiousness) are less relevant in motivating creative thought and behavior. To our knowledge, our study is the first to explore the role of personality in predicting creativity among individuals with immigrant background. More research relying on robust immigrant samples is necessary to replicate our findings.

Regarding the moderating role of personality in the diversity-creativity link, our results indicate that an extraverted and neurotic tendency might have helped migrant participants reap the creative benefits of having an ethnoculturally diverse network of relations. Extraversion may facilitate processes of socializing with culturally diverse others, and thus of being exposed to culturally diverse perspectives and ideas, which is the basis for creativity (Cheng & Tan, Reference Cheng, Tan, Kim and McKay–Semmler2017; Dunne, Reference Dunne2017). Moreover, as suggested by some authors (Furnham & Bachtiar, Reference Furnham and Bachtiar2008; Gao et al., Reference Gao, Zhang, Ma and Du2020; Sung & Choi, Reference Sung and Choi2019), extraverts’ enthusiastic and stimulation-seeking attitude in divergent thinking or problem-solving tasks, may positively impact their creative performance. In line with our results, Turner et al. (Reference Turner, Dhont, Hewstone, Prestwich and Vonofakou2014) found that extraversion (but not openness to experience) predicted the likelihood of forming cross-group friendships in an intergroup contact context (i.e., White vs. Asian-origin British), and that it also moderated the effects of cross-group friendships on positive outgroup attitudes. Their findings suggest that individuals’ personality influences the types of relationships they develop (e.g., cross-group friendship) in a culturally diverse intergroup context, which will ultimately impact outcomes such as positive attitudes. In our research, extraversion not only had a direct link with creative performance, but it also magnified the effects of immigrants’ culturally diverse interactions on creativity. Extraversion may have particularly facilitated participants to engage with culturally diverse others, to share and exchange ideas, knowledge, or cultural representations, and to listen to different perspectives, in a migration context in which new and culturally diverse individuals are being incorporated in their habitual networks.

Further, our results do not support the suggestion by Guo et al. (Reference Guo, Su and Zhang2017) that neurotic individuals will find it more challenging to process and integrate the complex information flows that arise in diverse environments. On the contrary, low emotional stability facilitated creativity in immigrant participants with highly diverse social networks. These results align with previous research on the positive effects of neuroticism on creativity (Batey & Furnham, Reference Batey and Furnham2006; Feist, Reference Feist1998, Reference Feist2019), and again reinforce the person-environment framework in even more nuanced ways: different personality traits interact with different experiences of diversity (e.g., diverse networks), but also with other factors (e.g., type of relationships in the network, type of sample). For example, perhaps meaningful, supportive, high-quality relationships are more relevant for neurotic individuals to generate a safe environment in which they can be more open to new ideas and information flows, and ultimately develop their creativity.

None of the other personality traits emerged as relevant moderators in our results. Openness did show a direct positive association with creativity, but, contrary to our expectations and previous findings (Guo et al., Reference Guo, Su and Zhang2017; Leung & Chiu, Reference Leung and Chiu2008), it did not arise as a significant moderating predictor of personality in our study. In line with these results, Turner et al. (Reference Turner, Dhont, Hewstone, Prestwich and Vonofakou2014) found that openness did not moderate the effects of cross-group friendships on positive outgroup attitudes, but that the effect of openness on attitudes was direct. Following this line of reasoning, while our results show that extraversion interacts with having culturally diverse relationships to predict creativity, the role of openness may not necessarily be tied to this relational dimension. That is, extraversion may have helped people expose themselves to relational diversity and thus become more creative. Openness to experience characterizes intellectually curious people who are not necessarily motivated to seek relationships with others. Thus, open individuals in our sample may have been exposed to cultural diversity via other experiences, such as books, food, music, or travelling abroad (see Multicultural Experience Survey, Leung & Chiu, Reference Leung and Chiu2008). This way, they may have been able to reap the creative benefits associated with cultural diversity without necessarily depending on building diverse relationships. Alternatively, it may also be that openness had a mediating (vs. moderating) role in the relationship between social network diversity and creativity. That is, the diverse composition of social networks may have led to personality changes (e.g., increases in openness), as suggested in previous research (Chua, Reference Chua2018; Repke & Benet-Martínez, Reference Repke and Benet–Martínez2018; Zimmerman & Neyer, Reference Zimmerman and Neyer2013). The significant correlation between openness and social network diversity in our data supports this idea. As Repke and Benet-Martínez (Reference Repke and Benet–Martínez2018) stress, there is a need for more research on the personality processes driving and resulting from network formation. Larger samples are needed to test these possibilities with more complex models (e.g., mediation, moderated mediation).

Finally, it is worth noting that our sample was diverse in terms of ethnocultural origin, age, socioeconomic and educational background. In addition, it was composed by individuals generally underrepresented in previous research (i.e., migrant populations), and whose experiences of cultural diversity might be different from and more challenging than those of more privileged samples (e.g., expatriates, exchange students). The results presented highlight the importance of including diverse and non-W.E.I.R.D. samples in research on the impacts of cultural diversity and personality on creativity.

This study presents several limitations that need to be acknowledged. First, although we highly value our sample’s contribution to the field, as well as its cultural and demographic heterogeneity, its small size (N = 122) limits the generalizability of our results. Further, different results might be obtained in samples representing only one cultural group, or in different types of migrant samples.

Moreover, we cannot determine causality from our cross-sectional research design. For example, although both personality and social networks have shown to be quite stable over time (Lubbers et al., Reference Lubbers, Molina, Lerner, Brandes, Ávila and McCarty2010), it is theoretically possible that highly creative individuals choose to develop diverse social networks. Also, according to some social network research (Repke & Benet-Martínez, Reference Repke and Benet–Martínez2019), there may be a bidirectional link between micro-individual (e.g., personality) and meso-level (e.g., network) processes. The principles of selection (i.e., individuals choosing their network members, based on personal preferences and needs) and influence (i.e., network members shaping individuals’ behaviors, attitudes, or even personality tendencies) underlie this bidirectional relation. Different design approaches would be able to more confidently establish the direction of relationships proposed in the current study.

Concerning the measures’ limitations, previous research (e.g., Chua, Reference Chua2018) suggests that the relationship between personality and creativity may also depend on the type of creativity assessment (e.g., whether it requires collaboration with others or introspection).Footnote 8 Even if we use a general-domain measure of creativity (vs. work creativity, team creativity, or a culture-related task), it is still limited in the sense that it is an instrument developed in a particular Western (United States) cultural context. Therefore, like Shao et al. (Reference Shao, Zhang, Zhou, Gu and Yuan2019) points out, participants’ cultural background (e.g., language) may have influenced their creative performance in this verbal task. Likewise, coders’ cultural background may have biased their rating of creativity. Future studies could incorporate other forms of creativity assessment (e.g., pictorial) and use coders that match the cultural background of the study participants.

Our study also fails to pinpoint which specific aspect of the measured personality traits impacts creativity. For example, the stimulus-seeking and confidence aspects of extraversion seem to be positively related to creative thought (Baas et al., Reference Baas, De Dreu and Nijstad2008; Batey & Furnham, Reference Batey and Furnham2006; Feist, Reference Feist1998, Reference Feist2019), whereas the sociability dimension appears to have a negative impact on processes that require introspection and time alone (Feist, Reference Feist1998, Reference Feist2019). In our current study, we use the brief version of the Big Five personality inventory (TIPI; Gosling et al., Reference Gosling, Rentfrow and Swann2003), validated in the Spanish context (Renau et al., Reference Renau, Oberst, Gosling, Rusiñol and Chamarro Lusar2013). Future studies could incorporate a more nuanced look at personality by using the extended version of the Big Five personality inventory (John & Srivastava, Reference John, Srivastava, Pervin and John1999) or by measuring the specific dimensions of each trait (see Feist, Reference Feist1998).

Finally, the nature of relationships representing ethnocultural social network diversity might be relevant. For example, stronger ties (e.g., family, friends) may imply a deeper engagement with diversity and, therefore, more creative benefits among our extraverted participants. Similarly, neurotic individuals may benefit especially from culturally diverse networks when the relationships are safe, meaningful, and supportive. Future studies could consider the quality of relationships within diverse networks, and explore how they potentially interact with personality profiles differently in predicting creative behavior.

Conclusions

Both experiences of intercultural contact (Wiruchnipawan & Chua, Reference Wiruchnipawan, Chua, Leung, Kwan and Liou2018) and personality (Feist, Reference Feist2019) have been associated with greater creativity. Moreover, many authors have stressed the importance of considering how personality and situational forces combine to bring about psychological outcomes or behavior (Turner et al., Reference Turner, Dhont, Hewstone, Prestwich and Vonofakou2014). Like Chen et al. (Reference Chen, Leung, Yang, Chiu, Li and Cheng2016) mention, people do not display their dispositional tendencies in a void, but in meaningful situations, such as during contact with culturally diverse others. Recognizing the interplay between trait and context has important implications for understanding intra (e.g., creativity) and interpersonal processes (e.g., intercultural relations). Following this person-environment approach, we explore the interaction between ethnocultural social network diversity and personality in predicting creative performance. Importantly, we examine this relationship in a diverse community sample of immigrants. Aligned with previous literature, we find that network diversity, openness, and extraversion, are all positively associated with creativity. In addition, extraversion and emotional stability moderate the effects of network diversity on creativity. Specifically, participants with extraverted and neurotic tendencies show greater creative benefits from having culturally diverse networks. Our results highlight the importance of considering the interplay between individual-level and meso- or macro-level contextual variables, as well as of including non-W.E.I.R.D. and diverse samples that have traditionally been neglected in creativity research, if we want to understand the mechanisms underlying creative behavior more comprehensively.

Appendix

Data Transparency

The data used in the current paper was part of a larger project on the intra and interpersonal outcomes of multicultural experiences which that included two broad surveys with a sample of immigrants of diverse cultural origins. The data were collected in two different stages at the university’s laboratory, as mentioned in the Methods’ section of the current manuscript (p. 13). The surveys covered measures of personal social networks, identification, adjustment, acculturation, intergroup attitudes, and creativity. There are five additional papers that derived from this dataset:

Paper 1: On social networks and adjustment

Paper 2: On social network diversity (among close relationships), bicultural identity integration, and global identification.

Paper 3: On social networks, personality, and outgroup attitudes.

Paper 4: On global and host culture identification and creativity.

Paper 5 (unpublished): On close vs. distant social networks’ ties and creativity.

Footnotes

Acknowledgement: The authors would like to thank the funding agencies, the people who participated in the studies, the cultural organizations that helped in the recruitment of immigrant participants, as well as Eva Maciocco for her contribution to study design and data collection, and Judith Escuin for her effortful contribution to the coding of creativity.

Funding Statement: This research was supported with funds received by V. B. M. from the EU (FP7-MCCIG 294022), La Caixa Foundation (RecerCaixa call 2012), and from the “Agència de Gestió d’Ajuts Universitaris i de Recerca” (AGAUR) of the Generalitat de Catalunya, Spain (2010 ARAFI 100022), and with funds referenced PSI2016-79300-R from the “Ministerio de Economía y Competitividad” (MINECO), “Agencia Estatal de Investigación” (AEI), and the European Regional Development Fund (FEDER). The German National Scholarship Foundation supported the work undertaken by L. R.

Conflicts of Interest: None.

Data Sharing: The raw data supporting the conclusions of this article, methods, code, and materials used to conduct this research will be made available by the authors, upon request.

1 After controlling for gender and age.

2 The latter has usually been studied as its opposite or reversed construct, that is, neuroticism, or the disposition to experience negative affect such as anxiety, stress or depression.

3 Moreover, the relationship may be culturally specific. Like Feist (Reference Feist2019) mentions, in western cultures there might be a null or negative relationship between conscientiousness and creativity, whereas for Chinese students, conscientiousness positively relates to creativity (Chen, Reference Chen2016).

4 Social network techniques (e.g., asking participants to nominate people they interact with and whether these people know each other) constitute a less obtrusive and more implicit approach to capture social relationships than traditional self–reports (Molina et al., Reference Molina, Maya–Jariego, McCarty, Domínguez and Hollstein2014; Repke & Benet–Martínez, Reference Repke and Benet–Martínez2018, Reference Repke and Benet–Martínez2019; Wölfer et al., Reference Wölfer, Schmid, Hewstone and van Zalk2016).

5 For the detailed socio–demographic information see Bobowik et al. (Reference Bobowik, Benet–Martínez and Repke2021).

6 A high inter–rater reliability (intraclass correlation) between two coders was achieved for fluency (ICC = .83), flexibility (ICC = .91), and originality (ICC = .78) in a first subsample of 54 individuals.

7 We ran five additional models (one for each interaction term) in which we controlled for every individual predictor (i.e., network diversity and the Big Five) plus sociodemographics (gender and age). The same two interactions remained significant: the interaction between network diversity and extraversion (B = .68, SE = .31, t = 2.18, 95% CI [.06, 1.30], p = .031), and the interaction between network diversity and emotional stability (B = –.82, SE = .35, t = –2.32, 95% CI [–1.51, –.12], p = .022).

8 Kaspi–Baruch (Reference Kaspi–Baruch2017) presents some research that suggests that extraversion may enhance creativity in occupations that require performing in some areas of art, and introversion helps in occupations that require self–work and introspection.

References

Abraham, A. (2016). Gender and creativity: An overview of psychological and neuroscientific literature. Brain Imaging and Behavior, 10(2), 609618. https://doi.org/10.1007/s11682–015–9410–8CrossRefGoogle ScholarPubMed
Amabile, T. M. (1983). The social psychology of creativity: A componential conceptualization. Journal of Personality and Social Psychology, 45(2), 357376. https://doi.org/10.1037/0022–3514.45.2.357CrossRefGoogle Scholar
Aytug, Z. G., Rua, T., Brazeal, D. V., Almaraz, J. A., & González, C. B. (2018). A socio–cultural approach to multicultural experience: Why interactions matter for creative thinking but exposures don’t. International Journal of Intercultural Relations, 64, 2942. https://doi.org/10.1016/j.ijintrel.2018.03.004CrossRefGoogle Scholar
Baas, M., De Dreu, C. K. W., & Nijstad, B. A. (2008). A meta–analysis of 25 years of mood–creativity research: Hedonic tone, activation, or regulatory focus? Psychological Bulletin, 134(6), 779806. https://doi.org/10.1037/a0012815CrossRefGoogle ScholarPubMed
Batey, M., & Furnham, A. (2006). Creativity, intelligence, and personality: A critical review of the scattered literature. Genetic, Social, and General Psychology Monographs, 132(4), 355429. https://doi.org/10.3200/MONO.132.4.355–430CrossRefGoogle ScholarPubMed
Batey, M., & Furnham, A. (2008). The relationship between measures of creativity and schizotypy. Personality and Individual Differences, 45(8), 816821. https://doi.org/10.1016/j.paid.2008.08.014CrossRefGoogle Scholar
Batey, M., Furnham, A., & Safiullina, X. (2010). Intelligence, general knowledge and personality as predictors of creativity. Learning and Individual Differences, 20(5), 532535. http://doi.org/10.1016/j.lindif.2010.04.008CrossRefGoogle Scholar
Bobowik, M., Benet–Martínez, V., & Repke, L. (2021). “United in diversity”: The interplay of social network characteristics and personality in predicting outgroup attitudes. Group Processes and Intergroup Relations, 25(5), 11751201. https://doi.org/10.1177/13684302211002918CrossRefGoogle Scholar
Bobowik, M., Benet–Martínez, V., & Repke, L. (2022). Ethnocultural diversity of immigrants’ personal social networks, bicultural identity integration and global identification. International Journal of Psychology, 57(4), 491500. https://doi.org/10.1002/ijop.12814CrossRefGoogle ScholarPubMed
Bobowik, M., Benet–Martínez, V., Repke, L., & Soler–Pastor, E. (2022). The role of intercultural and intracultural social networks for creativity among immigrants. [Unpublished manuscript]. Departament de Ciències Polítiques i Socials, Universitat Pompeu Fabra.Google Scholar
Borgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009). Network analysis in the social sciences. Science, 323(5916), 892895. https://doi.org/10.1126/science.1165821CrossRefGoogle ScholarPubMed
Chamorro–Premuzic, T., & Reichenbacher, L. (2008). Effects of personality and threat of evaluation on divergent and convergent thinking. Journal of Research in Personality, 42(4), 10951101. https://doi.org/10.1016/j.jrp.2007.12.007CrossRefGoogle Scholar
Chang, J.–H., Su, J. C., & Chen, H.–C. (2017). Rethinking the multicultural experiences–creativity link: The interactive perspective on environmental variability and dispositional plasticity. In Feist, G. J., Reiter–Palmon, R., & Kaufman, J. C. (Eds.), The Cambridge handbook of creativity and personality research (pp. 124139). Cambridge University Press. https://doi.org/10.1017/9781316228036.008CrossRefGoogle Scholar
Chen, B. B. (2016). Conscientiousness and everyday creativity among Chinese undergraduate students. Personality and Individual Differences, 102, 5659. https://doi.org/10.1016/j.paid.2016.06.061CrossRefGoogle Scholar
Chen, X., Leung, A. K. Y., Yang, D. Y. J., Chiu, C. Y., Li, Z. Q., & Cheng, S. Y. Y. (2016). Cultural threats in culturally mixed encounters hamper creative performance for individuals with lower openness to experience. Journal of Cross–Cultural Psychology, 47(10), 13211334. https://doi.org/10.1177/0022022116641513CrossRefGoogle Scholar
Cheng, C., & Tan, Y. W. (2017). Intercultural experience and creativity. In Kim, Y.Y. & McKay–Semmler, K. L. (Eds.), The International Encyclopedia of Intercultural Communication. John Wiley & Sons. https://doi.org/10.1002/9781118783665.ieicc0056CrossRefGoogle Scholar
Cho, J., & Morris, M. W. (2015). Cultural study and problem–solving gains: Effects of study abroad, openness, and choice. Journal of Organizational Behavior, 36, 944966. https://doi.org/10.1002/job.2028CrossRefGoogle Scholar
Chua, R. Y. J. (2013). The costs of ambient cultural disharmony: Indirect intercultural conflicts in social environment undermine creativity. Academy of Management Journal, 56(6), 15451577. http://doi.org/10.5465/amj.2011.0971CrossRefGoogle Scholar
Chua, R. Y. J. (2018). Innovating at cultural crossroads: How multicultural social networks promote idea flow and creativity. Journal of Management, 44(3), 11191146. https://doi.org/10.1177/0149206315601183CrossRefGoogle Scholar
Dolgova, E., van Olffen, W., van den Bosch, F. A. J., & Volberda, H. W. (2010). The interaction between personality, social network position and involvement in innovation process [Doctoral dissertation, Eramus University]. Erasmus University Rotterdam’s Institutional Repository. http://repub.eur.nl/res/pub/26295/Google Scholar
Duan, W., & Li, Y. (2018). Convergent, discriminant, and incremental validities of person–environment fit scale for creativity in predicting innovative behavior. Journal of Creative Behavior, 54(3), 525534. https://doi.org/10.1002/jocb.388CrossRefGoogle Scholar
Duan, W., Li, Y., Tang, X., Zhang, H., & Cheng, X. (2019). Determination of the classification role of person–environment fit scale for creativity in workplace context. Creativity Research Journal, 31(2), 198206. https://doi.org/10.1080/10400419.2019.1594522CrossRefGoogle Scholar
Dunne, C. (2017). Can intercultural experiences foster creativity? The relevance, theory and evidence. Journal of Intercultural Studies, 38(2), 189212. https://doi.org/10.1080/07256868.2017.1291495CrossRefGoogle Scholar
Driskell, J. E., Goodwin, G. F., Salas, E., & Gavan O’Shea, P. (2006). What makes a good team player? Personality and team effectiveness. Group Dynamics: Theory, Research, and Practice, 10(4), 249271. https://doi.org/10.1037/1089–2699.10.4.249CrossRefGoogle Scholar
Fearon, J. D. (2003). Ethnic and cultural diversity by country. Journal of Economic Growth, 8(2), 195222. https://doi.org/10.1023/A:1024419522867CrossRefGoogle Scholar
Feist, G. J. (1998). A meta–analysis of personality in scientific and artistic creativity. Personality and Social Psychology Review, 2(4), 290309. http://doi.org/10.1207/s15327957pspr0204_5CrossRefGoogle ScholarPubMed
Feist, G. J. (2019). Creativity and the big two model of personality: Plasticity and stability. Current Opinion in Behavioral Sciences, 27, 31–35. https://doi.org/10.1016/j.cobeha.2018.07.005 2352–1546CrossRefGoogle Scholar
Franzoni, C., Scellato, G., & Stephan, P. (2014). The mover’s advantage: The superior performance of migrant scientists. Economic Letters, 122(1), 8993. https://doi.org/10.1016/j.econlet.2013.10.040CrossRefGoogle Scholar
Furnham, A., & Bachtiar, V. (2008). Personality and intelligence as predictors of creativity. Personality and Individual Differences, 45(7), 613617. http://doi.org/10.1016/j.paid.2008.06.023CrossRefGoogle Scholar
Furnham, A., Batey, M., Anand, K., & Manfield, J. (2008). Personality, hypomania, intelligence and creativity. Personality and Individual Differences, 44(5), 10601069. https://doi.org/10.1016/j.paid.2007.10.035CrossRefGoogle Scholar
Furnham, A., Crump, J., Batey, M., & Chamorro–Premuzic, T. (2009). Personality and ability predictors of the “Consequences” Test of divergent thinking in a large non–student sample. Personality and Individual Differences, 46(4), 536540. https://doi.org/10.1016/j.paid.2008.12.007CrossRefGoogle Scholar
Gao, Y., Zhang, D., Ma, H., & Du, X. (2020). Exploring creative entrepreneurs’ IEO : Extraversion, neuroticism and creativity. Frontiers in Psychology, 11, Article 2170. https://doi.org/10.3389/fpsyg.2020.02170CrossRefGoogle ScholarPubMed
Gilhooly, K. J., Fioratou, E., Anthony, S. H., & Wynn, V. (2007). Divergent thinking: Strategies and executive involvement in generating novel uses for familiar objects. British Journal of Psychology, 98, 611625. http://doi.org/10.1111/j.2044–8295.2007.tb00467.xCrossRefGoogle ScholarPubMed
Glover, J., & Gary, A. L. (1976). Procedures to increase some aspects of creativity. Journal of Applied Behavior Analysis, 9(1), 7984. https://doi.org/10.1901/jaba.1976.9-79CrossRefGoogle ScholarPubMed
Gocłowska, M. A., Ritter, S. M., Elliot, A. J., & Baas, M. (2019). Novelty seeking is linked to openness and extraversion, and can lead to greater creative performance. Journal of Personality, 87(2), 252266. https://doi.org/10.1111/jopy.12387CrossRefGoogle ScholarPubMed
Goldberg, L. R. (1990). An alternative “description of personality”: The Big–Five factor structure. Journal of Personality and Social Psychology, 59(6), 12161229. https://doi.org/10.1037/0022–3514.59.6.1216CrossRefGoogle ScholarPubMed
Gosling, S. D., Rentfrow, P. J., & Swann, W. B. (2003). A very brief measure of the Big–Five personality domains. Journal of Research in Personality, 37(6), 504528. https://doi.org/10.1016/S0092–6566(03)00046-1CrossRefGoogle Scholar
Guilford, J. P. (1967). The nature of human intelligence. McGraw–Hill.Google Scholar
Guo, J., Su, Q., & Zhang, Q. (2017). Individual creativity during the ideation phase of product innovation: An interactional perspective. Creativity and Innovation Management, 26(1), 3148. https://doi.org/10.1111/caim.12205CrossRefGoogle Scholar
Henrich, J., Heine, S. J., & Norenzayan, A. (2010). Most people are not WEIRD. Nature, 466(7302), Article 29. http://doi.org/10.1038/466029aCrossRefGoogle Scholar
Ickes, W., Snyder, M., & Garcia, S. (1997). Personality influences on the choice of situations. In Hogan, R., Johnson, J. A., & Briggs, S. R. (Eds.), Handbook of personality psychology (pp. 165195). Academic Press. https://doi.org/10.1016/B978–012134645–4/50008–1CrossRefGoogle Scholar
Jang, S. (2017). Cultural brokerage and creative performance in multicultural teams. Organization Science, 28(6), 9931009. https://doi.org/10.1287/orsc.2017.1162CrossRefGoogle Scholar
John, O. P., & Srivastava, S. (1999). The Big–Five trait taxonomy: History, measurement, and theoretical perspectives. In Pervin, L. A. & John, O. P. (Eds.), Handbook of personality: Theory and research (Vol. 2, pp. 102138). Guilford Press.Google Scholar
Karwowski, M., & Lebuda, I. (2016). The big five, the huge two, and creative self–beliefs: A meta–analysis. Psychology of Aesthetics, Creativity, and the Arts, 10(2), 214232. https://doi.org/10.1037/aca0000035CrossRefGoogle Scholar
Kaspi–Baruch, O. (2017). Big Five personality and creativity: The moderating effect of motivation goal orientation. Journal of Creative Behavior, 53(3), 325338. https://doi.org/10.1002/jocb.183CrossRefGoogle Scholar
Kaufman, S. B., Quilty, L. C., Grazioplene, R. G., Hirsh, J. B., Gray, J. R., Peterson, J. B., & Deyoung, C. G. (2016). Openness to experience and intellect differentially predict creative achievement in the arts and sciences. Journal of Personality, 84(2), 248258. https://doi.org/10.1111/jopy.12156CrossRefGoogle ScholarPubMed
King, L. A., Mc Kee Walker, L., & Broyles, S. J. (1996). Creativity and the five–factor model. Journal of Research in Personality, 30, 189203. http://doi.org/10.1006/jrpe.1996.0013CrossRefGoogle Scholar
Kirsch, C., Lubart, T., & Houssemand, C. (2016). Comparing creative profiles: Architects, social scientists and the general population. Personality and Individual Differences, 94, 284289. https://doi.org/10.1016/j.paid.2016.01.035CrossRefGoogle Scholar
Lee, C. S., Therriault, D. J., & Linderholm, T. (2012). On the cognitive benefits of cultural experience: Exploring the relationship between studying abroad and creative thinking. Applied Cognitive Psychology, 26, 768778. https://doi.org/10.1002/acp.2857CrossRefGoogle Scholar
Leung, A. K. Y., & Chiu, C. Y. (2008). Interactive effects of multicultural experiences and openness to experience on creative potential. Creativity Research Journal, 20(4), 376382. https://doi.org/10.1080/10400410802391371CrossRefGoogle Scholar
Leung, A. K. Y., Maddux, W. W., Galinsky, A. D., & Chiu, C. Y. (2008). Multicultural experience enhances creativity: The when and how. American Psychologist, 63(3), 169181. https://doi.org/10.1037/0003–066X.63.3.169CrossRefGoogle ScholarPubMed
Lin, H. (2020) Probing two-way moderation effects: A review of software to easily plot Johnson-Neyman figures. Structural Equation Modeling: A Multidisciplinary Journal, 27(3), 494502. http://doi.org/10.1080/10705511.2020.1732826CrossRefGoogle Scholar
Livingstone, L. P., Nelson, D. L., & Barr, S. H. (1997). Person–environment fit and creativity: An examination of supply–value and demand–ability versions of fit. Journal of Management, 23, 119146. https://doi.org/10.1177/014920639702300202CrossRefGoogle Scholar
Lu, J. G., Hafenbrack, A. C., Eastwick, P. W., Wang, D. J., Maddux, W. W., & Galinsky, A. D. (2017). “Going out” of the box: Close intercultural friendships and romantic relationships spark creativity, workplace innovation, and entrepreneurship [Supplemental Material]. Journal of Applied Psychology, 102(7), 10911108. https://doi.org/10.1037/apl0000212.suppCrossRefGoogle ScholarPubMed
Lubbers, M. J., Molina, J. L., Lerner, J., Brandes, U., Ávila, J., & McCarty, C. (2010). Longitudinal analysis of personal networks. The case of Argentinean migrants in Spain. Social Networks, 32(1), 91104. https://doi.org/10.1016/j.socnet.2009.05.001Google Scholar
Maddux, W. W., Adam, H., & Galinsky, A. D. (2010). When in Rome … learn why the Romans do what they do: How multicultural learning experiences facilitate creativity. Personality and Social Psychology Bulletin, 36(6), 731741. https://doi.org/10.1177/0146167210367786CrossRefGoogle ScholarPubMed
Markman, K. D., Lindberg, M. J., Kray, L. J., & Galinsky, A. D. (2007). Implications of counterfactual structure for creative generation and analytical problem solving. Personality and Social Psychology Bulletin, 33(3), 312324. https://doi.org/10.1177/0146167206296106CrossRefGoogle ScholarPubMed
McCrae, R. R. (1987). Creativity, divergent thinking, and openness to experience. Journal of Personality and Social Psychology, 52(6), 12581265.CrossRefGoogle Scholar
McCrae, R. R., & John, O. P. (1992). An introduction to the five–factor model and its applications. Public Health Resources, 556, 175215. http://doi.org/10.1111/j.1467–6494.1992.tb00970.xGoogle Scholar
Mischel, W. (2004). Toward an integrative science of the person. Annual Review of Psychology, 55, 122. https://doi.org/10.1146/annurev.psych.55.042902.130709CrossRefGoogle ScholarPubMed
Mischel, W., & Shoda, Y. (1995). A cognitive–affective system theory of personality: Reconceptualizing situations, dispositions, dynamics, and invariance in personality structure. Psychological Review, 102(2), 246268. http://doi.org/10.1037/0033–295X.102.2.246CrossRefGoogle ScholarPubMed
Molina, J. L., Maya–Jariego, I., & McCarty, C. (2014). Giving meaning to social networks: Methodology for conducting and analyzing interviews based on personal network visualizations. In Domínguez, S., & Hollstein, B. (Eds.), Mixed methods social networks research. Design and applications (pp. 305335). Cambridge University Press. http://doi.org/10.1017/CBO9781139227193.015CrossRefGoogle Scholar
Park, I. J., Shim, S. H., Hai, S., Kwon, S., & Kim, T. G. (2022). Cool down emotion don’t be fickle! The role of paradoxical leadership in the relationship between emotional stability and creativity. The International Journal of Human Resource Management, 33(14), 28562886. https://doi.org/10.1080/09585192.2021.1891115CrossRefGoogle Scholar
Perry–Smith, J. E., & Shalley, C. E. (2014). A social composition view of team creativity: The role of member nationality–heterogeneous ties outside of the team. Organization Science, 25(5), 14341452. https://doi.org/10.1287/orsc.2014.0912CrossRefGoogle Scholar
Puryear, J. S., Kettler, T., & Rinn, A. N. (2016). Relationships of personality to differential conceptions of creativity: A systematic review. Psychology of Aesthetics, Creativity, and the Arts, 11(1), 5968. https://doi.org/10.1037/aca0000079CrossRefGoogle Scholar
Renau, V., Oberst, U., Gosling, S. D., Rusiñol, J., & Chamarro Lusar, A. (2013). Translation and validation of the Ten–Item–Personality Inventory into Spanish and Catalan. Revista de Psicologia, Ciències de l’Educació i de l’Esport, 31(2), 8597.Google Scholar
Repke, L., & Benet–Martínez, V. (2018). The (diverse) company you keep: Content and structure of immigrants’ social networks as a window into intercultural relations in Catalonia. Journal of Cross–Cultural Psychology, 49(6), 924944. https://doi.org/10.1177/0022022117733475CrossRefGoogle Scholar
Repke, L., & Benet–Martínez, V. (2019). The interplay between the one and the others: Multiple cultural identifications and social networks. Journal of Social Issues, 75(2), 436459. https://doi.org/10.1111/josi.12323Google Scholar
Robins, G., & Kashima, Y. (2008). Social psychology and social networks: Individuals and social systems. Asian Journal of Social Psychology, 11(1), 112. https://doi.org/10.1111/j.1467–839X.2007.00240.xCrossRefGoogle Scholar
Scratchley, L. S., & Hakstian, A. R. (2001). The measurement and prediction of managerial creativity. Creativity Research Journal, 13(3–4), 367384. https://doi.org/10.1207/S15326934CRJ1334CrossRefGoogle Scholar
Shao, Y., Zhang, C., Zhou, J., Gu, T., & Yuan, Y. (2019). How does culture shape creativity? A mini–review. Frontiers in Psychology, 10, Article 1219. https://doi.org/10.3389/fpsyg.2019.01219CrossRefGoogle ScholarPubMed
Silvia, P. J., Kaufman, J. C., Reiter–Palmon, R., & Wigert, B. (2011). Cantankerous creativity: Honesty–humility, agreeableness, and the HEXACO structure of creative achievement. Personality and Individual Differences, 51(5), 687689. https://doi.org/10.1016/j.paid.2011.06.011CrossRefGoogle Scholar
Silvia, P. J., Nusbaum, E. C., Berg, C., Martin, C., & O’Connor, A. (2009). Openness to experience, plasticity, and creativity: Exploring lower–order, high–order, and interactive effects. Journal of Research in Personality, 43(6), 10871090. https://doi.org/10.1016/j.jrp.2009.04.015CrossRefGoogle Scholar
Silvia, P. J., Winterstein, B. P., Willse, J. T., Barona, C. M., Cram, J. T., Hess, K. I., Martinez, J. L., & Richard, C. A. (2008). Assessing creativity with divergent thinking tasks: Exploring the reliability and validity of new subjective scoring methods. Psychology of Aesthetics, Creativity, and the Arts, 2(2), 6885. https://doi.org/10.1037/1931–3896.2.2.68CrossRefGoogle Scholar
Strauss, J. P., Connerley, M. L., & Ammermann, P. A. (2003). The “Threat Hypothesis,” personality, and attitudes toward diversity. The Journal of Applied Behavioral Science, 39(1), 3252. https://doi.org/10.1177/0021886303039001002CrossRefGoogle Scholar
Sung, S. Y., & Choi, J. N. (2019). Do Big Five personality factors affect individual creativity ? The moderating role of extrinsic motivation. Social Behavior and Personality, 37(7), 941956. https://doi.org/10.2224/sbp.2009.37.7.941CrossRefGoogle Scholar
Tadmor, C. T., Galinsky, A. D., & Maddux, W. W. (2012). Getting the most out of living abroad: Biculturalism and integrative complexity as key drivers of creative and professional success. Journal of Personality and Social Psychology, 103(3), 520542. https://doi.org/10.1037/a0029360CrossRefGoogle ScholarPubMed
Tadmor, C. T., Satterstrom, P., Jang, S., & Polzer, J. T. (2012). Beyond individual creativity: The superadditive benefits of multicultural experience for collective creativity in culturally diverse teams. Journal of Cross–Cultural Psychology, 43(3), 384392. https://doi.org/10.1177/0022022111435259CrossRefGoogle Scholar
Turner, R. N., Dhont, K., Hewstone, M., Prestwich, A., Vonofakou, C. (2014). The role of personality factors in the reduction of intergroup anxiety and amelioration of outgroup attitudes via intergroup contact. European Journal of Personality, 28(2), 180192. https://doi.org/10.1002/per.1927CrossRefGoogle Scholar
Vezzali, L., Gocłowska, M. A., Crisp, R. J., & Stathi, S. (2016). On the relationship between cultural diversity and creativity in education: The moderating role of communal versus divisional mindset. Thinking Skills and Creativity, 21, 152157. https://doi.org/10.1016/j.tsc.2016.07.001CrossRefGoogle Scholar
Williams, S. D. (2004). Personality, attitude, and leader influences on divergent thinking and creativity in organizations. European Journal of Innovation Management, 7(3), 187204. https://doi.org/10.1108/14601060410549883CrossRefGoogle Scholar
Wiruchnipawan, F., & Chua, R. Y. J. (2018). Intercultural relationships and creativity: Current research and future directions. In Leung, A. K.–Y., Kwan, L., & Liou, S. (Eds.), Handbook of culture and creativity: Basic processes and applied innovations (pp. 207238). Oxford University Press. https://doi.org/10.1093/oso/9780190455675.003.0009Google Scholar
Wölfer, R., Schmid, K., Hewstone, M., & van Zalk, M. (2016). Developmental dynamics of intergroup contact and intergroup attitudes long-term effects in adolescence and early adulthood. Child Development, 87(5), 14661478.CrossRefGoogle ScholarPubMed
Zhou, J., & Hoever, I. J. (2014). Research on workplace creativity: A review and redirection. Annual Review of Organizational Psychology and Organizational Behavior, 1, 333359. https://doi.org/10.1146/annurev–orgpsych–031413–091226CrossRefGoogle Scholar
Zimmerman, J., & Neyer, F. J. (2013). Do we become a different person when hitting the road? Personality development of sojourners. Personality and Social Psychology, 105(3), 515530. https://doi.org/10.1037/a0033019CrossRefGoogle Scholar
Figure 0

Table 1. Means, Standard Deviations and Bivariate Correlation Coefficients for all Variables in this Study

Figure 1

Table 2. Creativity Predicted by Ethnocultural Social Network Diversity, Personality, and their Interaction

Figure 2

Table 3. Conditional Effects of Ethnocultural Social Network Diversity on Creativity, at Different Levels of Extraversion and Emotional Stability

Figure 3

Figure 1. Effects of Ethnocultural Social Network Diversity on Immigrants’ Creativity, Moderated by Extraversion.Note. Creative Performance = composite average score calculated from the standardized scores of fluency, flexibility, and originality means; SN = Social Network; N = 121.

Figure 4

Figure 2. Effects of Ethnocultural Social Network Diversity on Immigrants’ Creativity, Moderated by ExtraversionNote. Creative Performance = composite average score calculated from the standardized scores of fluency, flexibility, and originality means; SN = Social Network; Emot Stab. = Emotional Stability; N = 122.