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Assessing the business values of information technology and e-commerce independently and jointly

Author

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  • Lin, Winston T.
  • Chen, Yueh H.
  • Shao, Benjamin B.M.

Abstract

The purpose of this paper is to assess the business values of information technology (IT) and electronic commerce (EC) independently and simultaneously as measured by productive efficiency, in order to provide new insights into IT and EC investments and, consequently, lead to better decisions on IT and EC investments. The paper analyzes a panel data set at the country level based on the theory of production and its companions called the time-varying stochastic production frontier (SPF) approaches with the one-equation and two-equation models estimated by a two-step nonlinear maximum-likelihood method. The performance metric called productive efficiency is built in the research approaches. The empirical evidence strongly suggests that the presence of EC may strengthen or weaken IT value, and vice versa, which provide a good explanation for the disappearance or existence of the so-called productivity paradox, and that the paradox may exist in a country regardless of whether it is a developed or a developing country, inconsistent with conventional wisdom claiming that the paradox exists only in developing countries. The findings imply that it is imperative to carefully assess the values of IT and EC and, as such, prudent rather than blind IT and EC investing decisions are made, and that the values of IT and EC must be evaluated jointly rather than separately. The findings add significant contributions to the literature and serve as a catalytic agent in stimulating further comparative research in these important areas linking IT investments and EC developments when their business values are the major concern.

Suggested Citation

  • Lin, Winston T. & Chen, Yueh H. & Shao, Benjamin B.M., 2015. "Assessing the business values of information technology and e-commerce independently and jointly," European Journal of Operational Research, Elsevier, vol. 245(3), pages 815-827.
  • Handle: RePEc:eee:ejores:v:245:y:2015:i:3:p:815-827
    DOI: 10.1016/j.ejor.2015.03.048
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    References listed on IDEAS

    as
    1. Giraleas, Dimitris & Emrouznejad, Ali & Thanassoulis, Emmanuel, 2012. "Productivity change using growth accounting and frontier-based approaches – Evidence from a Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 222(3), pages 673-683.
    2. Fare,Rolf & Grosskopf,Shawna & Lovell,C. A. Knox, 2008. "Production Frontiers," Cambridge Books, Cambridge University Press, number 9780521072069.
    3. Schmidt, Peter & Lin, Tsai-Fen, 1984. "Simple tests of alternative specifications in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 24(3), pages 349-361, March.
    4. Jayashankar M. Swaminathan & Sridhar R. Tayur, 2003. "Models for Supply Chains in E-Business," Management Science, INFORMS, vol. 49(10), pages 1387-1406, October.
    5. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
    6. Lin, Winston T. & Chuang, Chia-Hung & Choi, Jeong Hoon, 2010. "A partial adjustment approach to evaluating and measuring the business value of information technology," International Journal of Production Economics, Elsevier, vol. 127(1), pages 158-172, September.
    7. Lin, Winston T. & Chiang, Chung-Yean, 2011. "The impacts of country characteristics upon the value of information technology as measured by productive efficiency," International Journal of Production Economics, Elsevier, vol. 132(1), pages 13-33, July.
    8. Lee, Young Hoon, 2006. "A stochastic production frontier model with group-specific temporal variation in technical efficiency," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1616-1630, November.
    9. Chen, Yueh H. & Lin, Winston T., 2009. "Analyzing the relationships between information technology, inputs substitution and national characteristics based on CES stochastic frontier production models," International Journal of Production Economics, Elsevier, vol. 120(2), pages 552-569, August.
    10. Lin, Winston T. & Chuang, Chia-Hung, 2013. "Investigating and comparing the dynamic patterns of the business value of information technology over time," European Journal of Operational Research, Elsevier, vol. 228(1), pages 249-261.
    11. Bădin, Luiza & Daraio, Cinzia & Simar, Léopold, 2012. "How to measure the impact of environmental factors in a nonparametric production model," European Journal of Operational Research, Elsevier, vol. 223(3), pages 818-833.
    12. Wu, De-Min, 1973. "Alternative Tests of Independence Between Stochastic Regressors and Disturbances," Econometrica, Econometric Society, vol. 41(4), pages 733-750, July.
    13. Lee, Young Hoon, 2010. "Group-specific stochastic production frontier models with parametric specifications," European Journal of Operational Research, Elsevier, vol. 200(2), pages 508-517, January.
    14. Sanjeev Dewan & Kenneth L. Kraemer, 2000. "Information Technology and Productivity: Evidence from Country-Level Data," Management Science, INFORMS, vol. 46(4), pages 548-562, April.
    15. Winston T. Lin, 2013. "Assessing the impacts of the integration of the ICT investments of Taiwan and China upon economic growth in Taiwan," Chapters,in: Economic Integration Across the Taiwan Strait, chapter 3, pages 56-80 Edward Elgar Publishing.
    16. Lin, Winston T. & Kao, Ta-Wei (Daniel), 2014. "The partial adjustment valuation approach with dynamic and variable speeds of adjustment to evaluating and measuring the business value of information technology," European Journal of Operational Research, Elsevier, vol. 238(1), pages 208-220.
    17. Waldman, Donald M., 1982. "A stationary point for the stochastic frontier likelihood," Journal of Econometrics, Elsevier, vol. 18(2), pages 275-279, February.
    18. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    19. G Tohidi & S Razavyan & S Tohidnia, 2012. "A global cost Malmquist productivity index using data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(1), pages 72-78, January.
    20. C Kao, 2012. "Efficiency decomposition for parallel production systems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(1), pages 64-71, January.
    21. Philip M. Rosenzweig, 1994. "When Can Management Science Research Be Generalized Internationally?," Management Science, INFORMS, vol. 40(1), pages 28-39, January.
    22. Lee, Jongkuk & Palekar, Udatta S. & Qualls, William, 2011. "Supply chain efficiency and security: Coordination for collaborative investment in technology," European Journal of Operational Research, Elsevier, vol. 210(3), pages 568-578, May.
    23. Disney, S. M. & Naim, M. M. & Potter, A., 2004. "Assessing the impact of e-business on supply chain dynamics," International Journal of Production Economics, Elsevier, vol. 89(2), pages 109-118, May.
    24. Quirós Romero, Cipriano & Rodríguez Rodríguez, Diego, 2010. "E-commerce and efficiency at the firm level," International Journal of Production Economics, Elsevier, vol. 126(2), pages 299-305, August.
    25. Erik Brynjolfsson & Lorin Hitt, 1996. "Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending," Management Science, INFORMS, vol. 42(4), pages 541-558, April.
    26. Lee, Lung-Fei, 1983. "A test for distributional assumptions for the stochastic frontier functions," Journal of Econometrics, Elsevier, vol. 22(3), pages 245-267, August.
    27. Ramanathan, Ramakrishnan & Ramanathan, Usha & Hsiao, Hsieh-Ling, 2012. "The impact of e-commerce on Taiwanese SMEs: Marketing and operations effects," International Journal of Production Economics, Elsevier, vol. 140(2), pages 934-943.
    28. Gunasekaran, A. & Marri, H. B. & McGaughey, R. E. & Nebhwani, M. D., 2002. "E-commerce and its impact on operations management," International Journal of Production Economics, Elsevier, vol. 75(1-2), pages 185-197, January.
    29. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    30. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    31. Collier, Trevor & Johnson, Andrew L. & Ruggiero, John, 2011. "Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis," European Journal of Operational Research, Elsevier, vol. 208(2), pages 153-160, January.
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