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Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors

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European Journal of Information Systems

Abstract

In this study, we developed a conceptual model for studying the adoption of electronic business (e-business or EB) at the firm level, incorporating six adoption facilitators and inhibitors, based on the technology–organization–environment theoretical framework. Survey data from 3100 businesses and 7500 consumers in eight European countries were used to test the proposed adoption model. We conducted confirmatory factor analysis to assess the reliability and validity of constructs. To examine whether adoption patterns differ across different e-business environments, we divided the full sample into high EB-intensity and low EB-intensity countries. After controlling for variations of industry and country effects, the fitted logit models demonstrated four findings: (1) Technology competence, firm scope and size, consumer readiness, and competitive pressure are significant adoption drivers, while lack of trading partner readiness is a significant adoption inhibitor. (2) As EB-intensity increases, two environmental factors – consumer readiness and lack of trading partner readiness – become less important, while competitive pressure remains significant. (3) In high EB-intensity countries, e-business is no longer a phenomenon dominated by large firms; as more and more firms engage in e-business, network effect works to the advantage of small firms. (4) Firms are more cautious in adopting e-business in high EB-intensity countries – it seems to suggest that the more informed firms are less aggressive in adopting e-business, a somehow surprising result. Explanations and implications are offered.

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References

  • Aiken M and Hage J (1971) The organic organization and innovation. Sociology 5, 63–82.

    Article  Google Scholar 

  • Anderson KV and Bjørn-Anderson N (2001) Globalization and e-commerce: growth and impacts in Denmark. Working Paper. http://www.crito.uci.edu/GIT/publications/pdf/denmarkGEC.pdf.

  • Anderson Consulting (1999) eEurope takes off. http://www.ac.com/ecommerce/ecom_efuture1.html.

  • Bailey JP and Bakos Y (1997) An exploratory study of the emerging role of electronic intermediaries. International Journal of Electronic Commerce 1(3), 7–20.

    Article  Google Scholar 

  • Bakos Y (1998) The emerging role of electronic marketplaces on the Internet. Communications of the ACM 41(8), 35–42.

    Article  Google Scholar 

  • Bharadwaj AS, Bharadwaj SG and Konsynski BR (1999) Information technology effects on firm performance as measured by Tobin's q. Management Science 45(6), 1008–1024.

    Article  Google Scholar 

  • Bresnahan TF, Brynjolfsson E and Hitt L (2002) Information technology, workplace organization, and the demand for skilled labor: firm-level evidence. Quarterly Journal of Economics 117, 339–376.

    Article  Google Scholar 

  • Brousseau E (2001) Globalization and e-commerce: growth and impacts in France. Working Paper. http://www.crito.uci.edu/GIT/publications/pdf/franceGEC.pdf.

  • Brynjolfsson E, Malone TW, Gurbaxani V and Kambil A (1994) Does information technology lead to smaller firms? Management Science 40(12), 1628–1644.

    Article  Google Scholar 

  • Chatterjee D, Grewal R and Sambamurthy V (2002) Shaping up for e-commerce: institutional enablers of the organizational assimilation of Web technologies. MIS Quarterly 26(2), 65–89.

    Article  Google Scholar 

  • Charkavarti LAHA and Roy (1967) Handbook of Methods of Applied Statistics. John Wiley and Sons, New York.

    Google Scholar 

  • Chau PYK (1999) On the use of construct reliability in MIS research: a meta-analysis. Information & Management 35(4), 217–227.

    Article  Google Scholar 

  • Chau PYK and Tam KY (1997) Factors affecting the adoption of open systems: an exploratory study. MIS Quarterly 21(1), 1–21.

    Article  Google Scholar 

  • Chopra S and Meindl P (2001) E-business and the supply chain. In Supply Chain Management. Chopra S and Meindl P. (Eds.) Prentice-Hall Inc., Upper Saddle River, NJ.

    Google Scholar 

  • Cooper RB and Zmud RW (1990) Information technology implementation research: a technological diffusion approach. Management Science 36(2), 123–140.

    Article  Google Scholar 

  • Cragg PB and King M (1993) Small-firm computing: motivators and inhibitors. MIS Quarterly 17(1), 47–60.

    Article  Google Scholar 

  • Crook CW and Kumar RL (1998) Electronic data interchange: a multi-industry investigation using grounded theory. Information & Management 34, 75–89.

    Article  Google Scholar 

  • Damanpour F (1992) Organizational size and innovation. Organization Studies 13(3), 375–402.

    Article  Google Scholar 

  • Densmore (1998) EDI vs. the new kids. Computerworld Emmerce. http://www.computerworld.com/home/emmerce.nsf//all/980406edi.

  • Dewan S, Michael S and Min C (1998) Firm characteristics and investments in information technology: scale and scope effects. Information Systems Research 9(3), 219–232.

    Article  Google Scholar 

  • Dewan S and Min C (1997) The substitution of information technology for other factors of production: a firm-level analysis. Management Science 43(12), 1660–1675.

    Article  Google Scholar 

  • ECaTT (2000) Benchmarking progress on new ways of working and new forms of business across Europe, ECaTT final report. http://www.ecatt.com.

  • EViews (1994) version 3.1. Quantitative Micro Software, Irvine, CA.

  • Fornell C and Larcker DF (1981) Structural equation models with unobserved variables and measurement errors. Journal of Marketing Research 18(1), 39–50.

    Article  Google Scholar 

  • Forrester Research (1999) Europe: the sleeping giant awakens. http://www.forrester.com/ER/Research/Report/Summary/0,1338,8706,00.html.

  • Greene (2000) Econometric Analysis (4th edn). Prentice-Hall, Upper Saddle River, NJ.

    Google Scholar 

  • Grover V (1993) An empirically derived model for the adoption of customer-based interorganizational systems. Decision Science 24(3), 603–640.

    Article  Google Scholar 

  • Gurbaxani V and Whang S (1991) The impact of information systems on organizations and markets. Communications of the ACM 34(1), 59–73.

    Article  Google Scholar 

  • Helfat CE (1997) Know-how and asset complementarity and dynamic capability accumulation: the case of R&D. Strategic Management Journal 18(5), 339–360.

    Article  Google Scholar 

  • Hitt L (1999) Information technology and firm boundaries: evidence from panel data. Information Systems Research 10(2), 134–149.

    Article  Google Scholar 

  • Hitt L and Brynjolfsson E (1996) Productivity, business profitability, and consumer surplus: three different measures of information technology value. MIS Quarterly 20(2), 121–142.

    Article  Google Scholar 

  • Hosmer DW and Lemeshow S (1980) A goodness-of-fit test for the multiple logistic regression model. Communications in Statistics A10, 1043–1069.

    Article  Google Scholar 

  • Hosmer DW and Lemeshow S (2000) Applied Logistic Regression (2nd edn.). John Wiley & Sons, Inc., New York.

    Book  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.

    Article  Google Scholar 

  • IBM (2001) Assessing the impact of e-business on Europe retail financial services. http://www-.ibm.com/services/files/gsw1765f.pdf.

  • Kauffman R and Walden E (2001) Economics and electronic commerce: survey and directions for research. International Journal of Electronic Commerce 5(4), 5–116.

    Google Scholar 

  • Kenny DA and Judd CM (1984) Estimating the nonlinear and interactive effects of latent variables. Psychological Bulletin 96, 201–210.

    Article  Google Scholar 

  • Koenig W, Wigand RT and Beck VR (2001) Globalization and e-commerce: environment and policy in Germany. Working paper. http://www.crito.uci.edu/GIT/publications/pdf/denmarkGEC.pdf.

  • Kowtha NR and Choon TMI (2001) Determinants of Website development: A study of electronic commerce in Singapore. Information & Management 39(3), 227–242.

    Article  Google Scholar 

  • Kraemer KL and Dedrick J (2000) European e-commerce report. Working paper. http://www.crito.uci.edu/git/publications/pdf/european‐e‐commerce‐report2.pdf.

  • Kuan KKY and Chau PYK (2001) A perception-based model for EDI adoption in small business using a technology–organization–environment framework. Information & Management 38, 507–512.

    Article  Google Scholar 

  • Kwon TH and Zmud RW (1987) Unifying the fragmented models of information systems implementation. In Critical Issues in Information Systems Research (BOLAND RJ and HIRSCHHEIM RA, Eds), pp 227–251, John Wiley, New York.

    Google Scholar 

  • Marsh HW and Hocevar D (1985) A new, more powerful approach to multitrait-multimethod analyses: application of second-order confirmatory factor analysis. Journal of Applied Psychology 73(1), 107–117.

    Google Scholar 

  • Mata FW, Fuerst and Barney J (1995) Information technology and sustained competitive advantage: a resource-based analysis. MIS Quarterly 19(4), 487–505.

    Article  Google Scholar 

  • Mehrtens J, Cragg PB and Mills AM (2001) A model of Internet adoption by SMEs. Information & Management 39(3), 165–176.

    Article  Google Scholar 

  • Mendelson H (2000) Organizational architecture and success in the information technology industry. Management Science 46(4), 513–529.

    Article  Google Scholar 

  • Nagelkerke NJD (1991) A note on a general definition of the coefficient of determination. Biometrika 78(3), 691–693.

    Article  Google Scholar 

  • OECD (2000) Local Access Pricing and E-commerce. Organization for Economic Cooperation and Development, Paris.

  • OECD (2001a) Business to Consumer Electronic Commerce: An Update on the Statistics. Organization for Economic Cooperation and Development, Paris.

  • OECD (2001b) Understanding the Digital Divide. Organization for Economic Cooperation and Development, Paris.

  • Porter ME and Millar VE (1985) How information gives you competitive advantage. Harvard Business Review 63(4), 149–160.

    Google Scholar 

  • Powell T and Dent-Micallef A (1997) Information technology as competitive advantage: the role of human, business, and technology resources. Strategic Management Journal 18(5), 375–405.

    Article  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.

    Article  Google Scholar 

  • Premkumar G, Ramamurthy K and Crum MR (1997) Determinants of EDI adoption in the transportation industry. European Journal of Information Systems 6(2), 107–121.

    Article  Google Scholar 

  • Ramamurthy K, Premkumar G and Crum MR (1999) Organizational and interorganizational determinants of EDI diffusion and organizational performance: a cause model. Journal of Organizational Computing and Electronic Commerce 9(4), 253–285.

    Article  Google Scholar 

  • Raymond L (1985) Organizational characteristics and MIS success in the context of small business. MIS Quarterly 9(1), 37–52.

    Article  Google Scholar 

  • Rogers EM (1983) Diffusion of Innovations, (3rd edn). Free Press, New York.

    Google Scholar 

  • Schumacker RE and Marcoulides GA (1998) Interaction and Nonlinear Effects in Structural Equation Modeling. Lawrence Erlbaum Associates, Mahwah, NJ.

    Google Scholar 

  • Segars AH and Grover V (1998) Strategic information systems planning success: an investigation of the construct and its measurement. MIS Quarterly 22(2), 139–163.

    Article  Google Scholar 

  • Sethi V and King WR (1994) Development of measures to assess the extent to which an information technology application provides competitive advantage. Management Science 40(12), 1601–1627.

    Article  Google Scholar 

  • Shapiro C and Varian H (1999) Information Rules: A Strategic Guide to the Network Economy. Harvard Business School Press, Boston, MA.

    Google Scholar 

  • Steinfield C, Adelaar T and Lai Y (2002) Integrating brick and mortar locations with e-commerce: understanding synergy opportunities. In Proceedings of the Hawaii International Conference on System Sciences, Big Island, Hawaii.

    Google Scholar 

  • Steward KA and Segars AH (2002) An empirical examination of the concern for information privacy instrument. Information Systems Research 13(1), 36–49.

    Article  Google Scholar 

  • Straub DW (1989) Validating Instruments in MIS Research. MIS Quarterly 13(2), 147–169.

    Article  Google Scholar 

  • Swanson EB (1994) Information systems innovation among organizations. Management Science 40(9), 1069–1092.

    Article  Google Scholar 

  • Teece DJ (1980) Economics of scope and the scope of the enterprise. Journal of Economic Behavior and Organization 1(2), 223–247.

    Article  Google Scholar 

  • Thong JYL (1999) An integrated model of information systems adoption in small business. Journal of Management Information Systems 15(4), 187–214.

    Article  Google Scholar 

  • Tornatzky LG and Fleischer M (1990) The Process of Technology Innovation. Lexington Books, Lexington, MA.

    Google Scholar 

  • Veall MR and Zimmermann KF (1992) Pseudo-R 2s in the ordinal probit model. Journal of Mathematical Sociology 16(4), 333–342.

    Article  Google Scholar 

  • Venkatraman N (1990) Performance implications of strategic co-alignment: a methodological perspective. Journal of Management Studies 27(2), 19–41.

    Article  Google Scholar 

  • Venkatraman N and Zaheer A (1990) Electronic integration and strategic advantage: a quasi-experimental study in the insurance industry. Information Systems Research 1(4), 377–393.

    Article  Google Scholar 

  • White H (1982) Maximum likelihood estimation of misspecified models. Econometrica 50(1), 1–26.

    Article  Google Scholar 

  • Zhu K and Kraemer KL (2002) E-Commerce metrics for Net-enhanced Organizations. Assessing the value of e-commerce to firm performance in the manufacturing sector. Information Systems Research 13(3), 275–295.

    Article  Google Scholar 

  • Zhu K, Kraemer KL and Xu S (2002) A cross-country study of e-business adoption using the technology-organization-environment framework. In Proceedings of the International Conference on Information Systems, Barcelona, Spain.

    Google Scholar 

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Acknowledgements

An earlier version of this paper was presented at the 23rd International Conference on Information Systems (ICIS), where this paper also won the Best Paper Award, Conference Theme. Data were provided by Empirica, GMBH, Bonn, Germany. The research has benefited from the comments of Sanjeev Dewan, Deborah Dunkle, John Mooney, Paul Gray, and session participants at ICIS 2002.

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  1. Center for Research on Information Technology and Organizations, Graduate School of Management, University of California, Irvine, CA, USA

    Kevin Zhu, Kenneth Kraemer & Sean Xu

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  1. Kevin Zhu
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  2. Kenneth Kraemer
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  3. Sean Xu
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Correspondence to Kevin Zhu.

Appendix A

Appendix A

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Table a1 Measurement items
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Zhu, K., Kraemer, K. & Xu, S. Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors. Eur J Inf Syst 12, 251–268 (2003). https://doi.org/10.1057/palgrave.ejis.3000475

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