Advertisement

Searching a Fit in IT Alignment for Japanese Firms

  • Michiko Miyamoto
  • Shuhei Kudo
  • Kayo Iizuka
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 241)

Abstract

A firm develops a business strategy, chooses the structure and management processes, aligns IT, and ensures that employees are trained and their roles are well designed in traditional theories of how information technology applied [27]. This paper empirically investigates a fit between the strategy, organization’s structure, management processes, individual roles and skills, and IT, in order to achieve the strategy to gain a competitive advantage among Japanese enterprises by using the MIT90s framework [18]. 258 Japanese firm-level data collected have been analyzed using structural equation modeling. These results would contribute for achieving a strategic sit for the Japanese firms by showing effective tasks and environment to be focused.

Keywords

Strategy Fit MIT90s model SEM 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Atrostic BK, Motohashi K, Nguyen SV (2004) Firm-level analysis of information network use and performance: U.S. vs. Japan. In: The Conference on IT Innovation at Hitotsubashi University, Tokyo, JapanGoogle Scholar
  2. 2.
    Alpar P, Kim M (1990) A comparison of approaches to the measurement of information technology value. In: Proceedings of the Twenty-Third Annual Hawaii International Conference 4:112–119Google Scholar
  3. 3.
    Bensaou M, Earl MJ (1998) The right mind-set for managing information technology (Japanese and American methods). Harvard Business Review 76(5):119–129Google Scholar
  4. 4.
    Bentler PM (1990) Comparative fit indexes in structural models. Psychological Bulletin 107(2):238–246Google Scholar
  5. 5.
    Bollen KA (1990) Overall fit in covariance structure models: Two types of sample size effects. Psychological Bulletin 107(2):256–259Google Scholar
  6. 6.
    BrowneMW, Cudeck R (1993) Alternative ways of assessing model fit. Sociological Methods and Research 21:230–239Google Scholar
  7. 7.
    Craig J, Yetton P (1994) The dual strategic and change role of IT: A critique of business process reengineering. Working Paper 94-002, Australian Graduate School of Management, University of New South WalesGoogle Scholar
  8. 8.
    Cudeck R, du Toit S, S‥orbom D (1992) Structural equation modeling: Present and future. Scientific Software International, Inc., ChicagoGoogle Scholar
  9. 9.
    Japan Information Service Industry Association, Information Services Industry in Japan 1992 and 1993. JISA, Tokyo, 1992 and 1993.Google Scholar
  10. 10.
    J‥oreskog KG (1990) New developments in LISREL-analysis of ordinal variables using polychoric correlations and weighted least squares. Quality and Quantity 24:387–404Google Scholar
  11. 11.
    Kadono Y, Tsubaki H (2006) Development of IT management effectiveness and analysis. Journal of the Japan Society for Management Information 14(4):69–83Google Scholar
  12. 12.
    Li L (2011) Effects of enterprise technology on supply chain collaboration and performance, re-conceptualizing, enterprise information systems. 5th IFIP WGGoogle Scholar
  13. 13.
    Liljeblom E, Vaihekoski E (2004) Investment evaluation methods and required rate of return in finnish publicly listed companies. Finnish Journal of Business Economics 1:9–24Google Scholar
  14. 14.
    Lyytinen K, Mathiassen L, Ropponen J (1998) Attention shaping and software risk a categorical analysis of four classical risk management approaches. Information Systems Research 9(3):233–255Google Scholar
  15. 15.
    Lu Y, Ramamurthy K (2011) Understanding the link between information technology capability and organizational agility: An empirical examination. MIS Quarterly 35(4):931–954Google Scholar
  16. 16.
    Mann CL (2005) Globalization information technology, and US economic performance, globalization. In: Prospects and Problems Conference in Honor of Jagdish Bhagwati’s 70th Birthday University of Florida, Gainesville, 28–30, JanuaryGoogle Scholar
  17. 17.
    Miles RE, Snow CC (1984) Fit, failure and hall of fame. California Management Review, 10–28Google Scholar
  18. 18.
    Morton S (1991) The corporation of the 1990s: Information technology and organizational transformation, Oxford University PressGoogle Scholar
  19. 19.
    Mueller R (1997) Structural equation modeling: Back to basics. Structural Equation Modeling 4:353–369Google Scholar
  20. 20.
    Ouchi WG, Jaeger AM (1978) Type Z organization: Stability in the midst of mobility. The Academy of Management Review 3(2):305–314Google Scholar
  21. 21.
    Rapp WV (1995) The future evolution of Japanese-US competition in software: Policy challenges and strategic prospects, final report Japan-US friendship commission. Columbia Center on Japanese Economy and BusinessGoogle Scholar
  22. 22.
    Rapp WV (1998) Gaining and sustaining long-term advantage through information technology: The emergence of controlled production. Center on Japanese Economy and Business Working Paper, Columbia, New YorkGoogle Scholar
  23. 23.
    Rapp WV (2002) Information technology strategies: How leading firms use it to gain an advantage. Oxford University PressGoogle Scholar
  24. 24.
    Shao Z, Feng Y, Choudrie J et al (2010) The moderating effect of a chief information officer’s competence on IT investment and firm performance. PACIS 109Google Scholar
  25. 25.
    Smith R (2006) Modeling R&D investment levels based on corporate financial data. Research Technology Management 1–15Google Scholar
  26. 26.
    Tesch D, Kloppenborg TJ, Erolick MN (2007) It project risk factors-the project managementprofessionals’ perspective. Journal of Computer Information Systems 47:61–69Google Scholar
  27. 27.
    Yetton PW, Johnston KD, Craig JF (1994) Computer-aided architects: A case study of IT and strategic change. MIT Sloan Management Review 57–67Google Scholar
  28. 28.
    Forster A, Yetton PW (1997) Managing the introduction of technology in the delivery and administration of higher education. Department of Employment, Education, Training and Youth Affairs, Evaluations and Investigations Program. AGPS: CanberraGoogle Scholar
  29. 29.
    Yuan KH, Bentler PM (1997) Mean and covariance structure analysis: Theoretical and practicalimprovements. Journal of the American Statistical Association 92:767–777Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Department of Management Science and EngineeringAkita Prefectural UniversityAkita, YurihonjoJapan
  2. 2.School of Network and InformationSenshu UniversityKanagawa, KawasakiJapan

Personalised recommendations