Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-25T17:16:08.342Z Has data issue: false hasContentIssue false
  • English
  • Français

Exploring the relationships between information technology adoption and business process reengineering

Published online by Cambridge University Press:  02 February 2015

Ya-Ching Lee ,
Pin-Yu Chu  and
Hsien-Lee Tseng
Ya-Ching Lee
Affiliation:
Associate Professor, Institute of Communications Management, National Sun Yat-sen University, Kaohsiung, Taiwan
Pin-Yu Chu
Affiliation:
Professor, Department of Public Administration, National Chengchi University, Taipei, Taiwan
Hsien-Lee Tseng
Affiliation:
PhD Candidate, Institute of Public Affairs Management, National Sun Yat-sen University, Kaohsiung, Taiwan
Get access Rights & Permissions [Opens in a new window]

Abstract

This study investigates the impacts of information technology on business process reengineering from intra- and extra-organizational perspectives. This research proposes a framework for facilitating business process reengineering efforts towards competitive organizations. The framework was tested using data from a sample of 382 chief information officers or senior information systems managers, each of whom completed a survey. The survey results indicate that organizational innovation, market pressure and competitive intensity positively affect information technology adoption, which in turn trigger changes or business process in terms of workplace, workforce and business structure.

Keywords

information technology adoptionbusiness process reengineeringorganizational innovation
Type
Research Article
Information
Journal of Management & Organization , Volume 15 , Issue 2 , May 2009 , pp. 170 - 185
Copyright
Copyright © Cambridge University Press and Australian and New Zealand Academy of Management 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ahn, HJ and Park, SJ (2004) A flexible transaction framework for dynamic collaboration of agents — with an online travel application, International Journal of Cooperative Information Systems 13(4): 487–520.Google Scholar
Ahadi, HR (2004) An examination of the role of organizational enablers in business process reengineering and the impact of information technology, Information Resources Management Journal 17(4): 1–19.Google Scholar
Akhavan, P, Jafari, M and Ali-Ahmadi, AR (2006) Exploring the interdependency between reengineering and information technology by developing a conceptual model, Business Process Management Journal 12(4): 517–534.Google Scholar
Al-Qirim, N (2005) An empirical investigation of an e-commerce adoption-capability model in small businesses in New Zealand, Electronic Markets 15(4): 418–37.Google Scholar
Al-Qirim, N (2007) A research trilogy into ecommerce adoption in small businesses in New Zealand, Electronic Markets 17(4): 263–285.Google Scholar
Anand, G and Ward, PT (2004) Fit, flexibility and performance in manufacturing: Copying with dynamic environments, Production and Operations Management 13(4): 369–385.Google Scholar
Attaran, M (2004) Exploring the relationship between information technology and business process reengineering. Information Management 41(5): 585–596.Google Scholar
Barber, MI and Weston, RH (1998) Scoping study on business process reengineering: Towards successful IT application, International Journal of Production Research 36(3): 575–601.Google Scholar
Berry, H (2006) Leaders, laggards and the pursuit of foreign knowledge, Strategic Management Journal 27(2): 151–168.Google Scholar
Bhatt, GD and Grover, V (2005) Types of information technology capabilities and their role in competitive advantage: An empirical study, Journal of Management Information Systems 22(2): 253–277.Google Scholar
Bock, GW, Zmud, RW, Kim, YG and Lee, JN (2005) Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological forces and organizational climate, MIS Quarterly 29(1): 87–111.Google Scholar
Bouchard, L (1993) Decision criteria in the adoption of EDI. In DeGross, JL, Bostrom, RP, Robey, D (Eds). Proceedings of the Fourteenth Annual International Conference on Information Systems. Orlando, FL, 365–376.Google Scholar
Bourgeois, LJ III and Eisenhardt, KM (1988) Strategic decision processes in high velocity environments: Four cases in the microcomputer industry, Management Science 34(7): 816–835.Google Scholar
Boyer, KK (1999) Evolutionary patterns of flexible automation and performance: a longitudinal study, Management Science 45(6): 824–842.Google Scholar
Boyer, KK and Lewis, MW (2002) Competitive priorities: Investigating the need for trade-offs in operations strategy, Production and Operations Management 11(1): 9–20.Google Scholar
Buckby, S, Best, P and Steward, J (2008) The current state of information technology governance literature. In Cater-Steel, A (Ed.). Information Technology Governance and Service Management: Frameworks and Adaptations, University of Southern Queensland, Australia.Google Scholar
Carmine, E and McIver, J (1981) Analyzing models with unobserved variables: Analysis of covariance structures. In Bohmstedt, GW and Borgatta, EF (Eds), Social Measurement: Current Issues. Sage, Beverly Hills CA.Google Scholar
Chatterjee, S, Lubatkin, MH, Schweiger, DM and Weber, Y (1992) Cultural difference and shareholder value in related mergers: Linking equity and human capital, Strategic Management 13(5): 319–334.Google Scholar
Cragg, PB and King, M (1993) Small-firm computing: Motivators and inhibitors, MIS Quarterly 17(1): 47–59.Google Scholar
D'Aveni, RA (1995) Coping with hypercompetition: Utilizing the new 7's framework, Academy of Management Executive 9(3): 45–57.Google Scholar
Davenport, T and Short, J (1990) The new industrial engineering: Information technology and business process redesign, Sloan Management Review 31(4): 11–27.Google Scholar
Dube, P, Liu, Z, Wynter, L and Xia, C (2007) Competitive equilibrium in e-commerce: Pricing and outsourcing, Computer and Operations Research 34(12): 3541–3559.Google Scholar
Edwards, K and Gordon, TJ (1984) Characterization of Innovations Introduced on the U.S. Market in 1982. Report Prepared for the U.S. Small Business Administration. The Futures Group, Washington DC.Google Scholar
Epicor Software Corporation (2008a) The 2007 ERP in Manufacturing Benchmark Report. Epicor Software Corporation, Press Release, May, retrieved at July 14, 2008, available at http://resources.ecommercetimes.com/ecommercetimes/search/browse/1529/1529.jspGoogle Scholar
Epicor Software Corporation (2008b) The Seven Megatrends of Professional Services, Press Release, May, retrieved at July 14, 2008, available at http://resources.ecommercetimes.com/ecommercetimes/search/browse/1529/1529.jspGoogle Scholar
Ferratt, TW, Agarwal, R, Moore, JE and Brown, CV (1999) Observations from ‘the front’: IT executives on practices to recruit and retain information technology professionals, in Prasad, J (Ed.) Proceedings of the 1999 ACM SIGCPR Conference. ACM Press, New York.Google Scholar
Fink, D (1994) Information system planning in a volatile environment, Long Range Planning 27(6): 107–114.Google Scholar
Freeman, R (2000) The IT consultant: A commonsense framework for managing the client relationship. Jossy-Bass Publications, San Francisco CA.Google Scholar
Goll, EO (1992) Let's debunk the myths and misconceptions about reengineering, APICS The Performance Advantage 12: 29–32.Google Scholar
Hair, JF (Ed) (1995) Multivariate data analysis with readings. Prentice Hall, Englewood Cliffs NJ.Google Scholar
Hammer, M (1990) Reengineering work: Don't automate, obliterate, Harvard Business Review 68(4): 104–112.Google Scholar
Hammer, M and Champy, J (1993) Reengineering the corporation: A manifesto for business revolution. HarperCollins, London.Google Scholar
Hayduk, LA (1987) Structural Equation modeling with LISREL. Johns Hopkins University Press, Baltimore MD.Google Scholar
Henderson, JC and Venkatraman, N (1991) Understanding strategic alignment. Business Quarterly, 55(3): 72.Google Scholar
Henderson, JC and Venkatraman, N (1992) Strategic alignment: A model for organizational transformation through information technology, in Kochan, TA and Useem, M (Eds), Transforming Organizations, Oxford University Press, New York: 97–117.Google Scholar
Huq, Z, Huq, F and Cutright, K (2006) BPR through ERP: Avoiding change management pitfalls, Journal of Change Management 6(1): 67–85.Google Scholar
Iacovou, CL, Benbasat, I and Dexter, AS (1995) Electronic data interchange and small organizations: Adoption and impact of technology, MIS Quarterly 19(4): 465–485.Google Scholar
Joreskog, KG and Sorbom, D (1993) LISREL8: A guide to the program and application. SPSS INC, Chicago IL.Google Scholar
Kang, S, Park, JH and Yang, HD (2008) ERP alignment for positive business performance: Evidence from Korea's ERP market, Journal of Computer Information Systems 48(4): 25–38.Google Scholar
Karmarkar, US and Vandana, M (2004) The business and information technologies survey, Annual report 2003-2004. Available at: http://www.anderson.ucla.edu/documents/areas/ctr/bit/Annualreport.pdfGoogle Scholar
Karmarkar, US and Mangal, V (Eds) (2006) The UCLA business and information technologies (BIT). UCLA, CA.Google Scholar
Kearney, T (2000) Why outsourcing is in, Strategic Finance 81(7): 34–39.Google Scholar
Khanna, T, Gultai, R and Nohria, N (1998) The dynamics of learning alliances: Competition, cooperation and relative scope, Strategic Management Journal 19(3): 193–210.Google Scholar
Majumdar, SK (2000) Sluggish giants, sticky cultures and dynamic capability transformation, Journal of Business Venturing 15(1): 59–78.Google Scholar
Miller, DP and Friesen, H (1983) Strategy making and environment: The third link, Strategic Management Journal 4(3): 221–235.Google Scholar
Morris, D and Brandon, J (1993) Re-engineering your business, McGraw-Hill, New York.Google Scholar
Nah, FFH, Zuckweiler, KM and Lau, JLS (2003). ERP implementation: Chief information officers' perception of critical success factors, International Journal of Human-Computer Interaction, 16(1), 5–22.Google Scholar
Nystorm, PC, Ramamurthy, K and Wilson, AL (2002) Organizational context, climate and innovativeness: Adoption of imaging technology, Journal of Engineering and Technology Management 19(3-4): 221–247.Google Scholar
Orman, LV (1998) A model management approach to business process reengineering, Journal of Management Information Systems 15(1): 187–212.Google Scholar
Paper, D (1998) Business process reengineering and improvement: A comparison of US and Japanese firms, Knowledge and Process Management 5(3): 185–191.Google Scholar
Paper, D and Chang, RD (2005) The state of business process reengineering: A search for success factors, Total Quality Management 16(1): 121–133.Google Scholar
Pavlou, PA (2004) IT-enabled dynamic capabilities in the new product development: Building a competitive advantage in the turbulent environments, Doctoral Dissertation, University of Southern California.Google Scholar
Pflughoeft, K, Ramamurthy, K, Soofi, ES, Yasai-Ardekani, M and Zahedi, FM (2003) Multiple conceptualization of small business web use and benefit, Decision Science 34(3): 467–512.Google Scholar
Porter, M and Millar, V (1985) How information gives you competitive advantage, Harvard Business Review 63(4): 149–60.Google Scholar
Porter, ME (2001) Strategy and the Internet, Harvard Business Review 79(03): 63–78.Google Scholar
Premkumar, G and Ramamurthy, K (1995) The role of interorganizational and organizational factors on the decision mode for adoption of interorganizational systems, Decision Science 26(3): 303–336.Google Scholar
Premkumar, G and Roberts, M (1999) Adoption of new information technologies in rural small business, The International Journal of Management Science 27(4): 467–484.Google Scholar
Raymond, L (1992) Computerization as a factor in the development of young entrepreneurs, International Small Business Journal 11(1): 23–34.Google Scholar
Rhim, H, Park, KT and Kim, HI (2006) Impacts of information and communication technology adoption on business practices and performances: An exploratory study, in Uday S & Shin I (2006) Adoption of enterprise application software and firm performance, Small Business Economics 26(3): 241–256.Google Scholar
Rock-Tenn Co. (2008) Saving millions in transportation costs, Supply & Demand Chain Executive 9(3): 46–47.Google Scholar
Rothenberg, S and Zyglidopoulos, SC (2007) Determinants of environmental innovation adoption in the printing industry: the importance of task environment, Business Strategy & the Environment 16(1): 39–49.Google Scholar
Sarkar, AN and Jagjit, S (2006) E-enabled BPR applications in industries banking and cooperative sector, Journal of Management Research 6(1): 18–34.Google Scholar
Srinivasan, R, Lilen, G and Rangaswamy, A (2002) Technological opportunism and radical technology adoption: An application to ebusiness, Journal of Marketing 66(3): 47–60.Google Scholar
Subramaian, A and Nilakanta, S (1996) Organizational innovativeness: Exploring the relationship between organizational determinants of innovation, types of innovations and measures of organizational performance, International Journal of Management Science 24(6): 631–647.Google Scholar
Teng, JTC, Grover, V and Fiedler, KD (1994) Business process reengineering: Charting a strategic path for the information age, California Management Review 36(3): 9–31.Google Scholar
Thong, JYL (1999) An integrated model of information systems adoption in small businesses, Journal of Management Information Systems 15(4): 187–214.Google Scholar
Turban, E, King, D, Lee, J, Warkentin, M and Chung, MH (2002) Electronic commerce: A managerial perspective, Prentice Hall, Upper Saddle River NJ.Google Scholar
Venkatraman, N (1991) IT-induced business reconfiguration, the corporation ofthe 1990s: Information technology and organization transformation, Oxford University Press, New York.Google Scholar
Walden, P, Carlsson, C and Liu, S (2000) Industry foresight with intelligent agents, Human System Management 19(3): 169–181.Google Scholar
Wooldridge, MJ and Jennings, NR (1995) Intelligent agents: Theory and practice, The Knowledge Engineering Review 10(2): 115–152.Google Scholar
Wymer, S and Regan, E (2005) Factors influencing e commerce adoption and use by small and medium businesses, Electronic Markets 15(4): 438–53.Google Scholar
Xu, S, Zhu, K and Gibbs, JL (2004) Global technology, local adoption: A cross-country investigation of internet adoption by companies in the United States and China, Electronic Markets 14(1): 13–24.Google Scholar
Zarour, N, Boufaida, M and Seinturier, L (2004) A negotiation framework for organizational information systems, International Journal of Information Technology and Decision Making 3(2): 213–238.Google Scholar
ZDNet Asia (2001) E-commerce hits ERP. ZDNet Asia news, 07 4, retrieved July 30, 2008, available at http://www.zdnetasia.com/news/software/0,39044164,23130067,00.htmGoogle Scholar
Zhu, D, Kraemer, KL and Xu, S (2006) The process of innovation assimilation by firms in different countries: A technology diffusion perspective on ebusiness, Management Science 52(10): 1557–1576.Google Scholar
Zmud, RW and Apple, LE (1992) Measuring Technology Incorporation/Infusion, Journal of Product Innovation Management 9(2): 148–155.Google Scholar
Zuboff, S (1988) In the age ofthe smart machine: The future of work and power, Heinemann, Oxford.Google Scholar