IB  Vol.4 No.2 , June 2012
Does the Success of Information Systems Really Matters to Firm Performance?
Author(s) Rich C. Lee
ABSTRACT
Many failed listed-enterprises had strong information capabilities and resources; however such advantage did not help these enterprises survive during the economy difficult times. Previous research of DeLone and McLean (D&M) implied the success of information systems will enhance the performance of enterprises. Based on this implication, many enterprises continuously invested resources on information systems as a strategy trying to gain advantage over competitors. This paper argues the Net Benefits in D&M model—resulted from the success of Information system—does not always significantly improve the Enterprise Performance but rather has a limit on it. In fact, such an excess investment cannot improve the Enterprise Performance but exhausts more valuable resources instead. The implication of this paper is to encourage enterprises to revisit their valuable service and reevaluate the Socio-Influences before investing more on in- formation systems.

Cite this paper
R. Lee, "Does the Success of Information Systems Really Matters to Firm Performance?," iBusiness, Vol. 4 No. 2, 2012, pp. 98-107. doi: 10.4236/ib.2012.42012.
References
[1]   W. H. Delone and E. R. McLean, “The DeLone and McLean Model of Information Systems Success: A Ten- Year Update,” Journal of Management Information Systems, Vol. 19, No. 4, 2003, pp. 9-30.

[2]   T. P. Liang and J. You, “Resource-Based View in Information Systems Research: A Meta-Analysis,” Proceedings of Paci?c Asia Conference on Information Systems, Hyderabad, 10-12 July 2009, p. 72.

[3]   S. Mithas, N. Ramasubbu and V. Sambamurthy, “How Information Management Capability Influences Firm Performance,” Management Information Systems Quarterly, Vol. 35, No. 1, 2011, pp. 237-256.

[4]   N. A. Morgan, D. W. Vorhies and C. H. Mason, “Market Orientation, Marketing Capabilities, and Firm Performance,” Strategic Management Journal, Vol. 30, No. 8, 2009, pp. 909-920.

[5]   E. Brynjolfsson, L. Hitt and H. Kim, “Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance?” 2011. http://ssrn.com/abstract=1819486

[6]   L. Bebchuk, A. Cohen and A. Ferrell, “What Matters in Corporate Governance?” Review of Financial Studies, Vol. 22, No. 2, 2009, pp. 783-827. doi:10.1093/rfs/hhn099

[7]   R. Stockdale and C. Standing, “An Interpretive Approach to Evaluating Information Systems: A Content, Context, Process Framework,” European Journal of Operational Research, Vol. 173, No. 3, 2006, pp. 1090-1102. doi:10.1016/j.ejor.2005.07.006

[8]   R. Adner and R. Kapoor, “Value Creation in Innovation Ecosystems: How the Structure of Technological Interdependence Affects Firm Performance in New Technology Generations,” Strategic Management Journal, Vol. 31, No. 3, 2010, pp. 306-333. doi:10.1002/smj.821

[9]   A. Borek, M. Helfert, M. Ge and A. K. Parlikad, “An Information Oriented Framework for Relating IS/IT Resources and Business Value,” Proceedings of the International Conference on Enterprise Information Systems, Beijing, 8-11 June 2011, pp. 358-367.

[10]   S. Petter, W. DeLone and E. McLean, “Measuring Information Systems Success: Models, Dimensions, Measures, and Interrelationships,” European Journal of Information Systems, Vol. 17, No. 3, 2008, pp. 236-263. doi:10.1057/ejis.2008.15

[11]   W. Y. Wang and C. Chang, “Intellectual Capital and Performance in Causal Models: Evidence from the Information Technology Industry in Taiwan,” Journal of Intellec- tual Capital, Vol. 6, No. 2, 2005, pp. 222-236. doi:10.1108/14691930510592816

[12]   S. M. L. Wong, S. Opper and R. Hu, “Shareholding Structure, Depoliticization and Firm Performance,” Economics of Transition, Vol. 12, No. 1, 2004, pp. 29-66. doi:10.1111/j.0967-0750.2004.00171.x

[13]   S. A. Ionescu, C. S. Murgoci, C. M. Gheorghe and E. Ionescu, “Making Predictions of the Profitability on the Financial Markets Using Discriminant Analysis,” Recent Advances in Artificial Inteligence, Knowledge Engineering and Data Bases, 2009, p. 495.

[14]   S. A. Ionescu, C. S. Murgoci, C. M. Gheorghe and E. Ionescu, “Towards Profitability on the Financial Markets: A Discriminant Analysis Approach,” WSEAS Transactions on Business and Economics, Vol. 6, No. 3, 2009, pp. 99-111.

[15]   M. Eid, C. Geiser and F. W. Nussbeck, “Multitrait-Multimethod Analysis in Psychotherapy Research: New Methodological Approaches,” Psychotherapy Research, Vol. 19, No. 4-5, 2009, pp. 390-396. doi:10.1080/10503300802621198

[16]   O. A. Isaac, A. A. Adedeji and I. R. Ismail, “Polynomial Regression Model of Making Cost Prediction in Mixed Cost Analysis,” Mathematical Theory and Modeling, Vol. 2, No. 2, 2012, pp. 14-23.

[17]   T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko, R. Silverman and A. Y. Wu, “An Efficient K-Means Clustering Algorithm: Analysis and Implementation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 7, 2002, pp. 881-892.

[18]   E. Karahanna, D. W. Straub and N. L. Chervany, “Information Technology Adoption across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs,” Management Information Systems Quarterly, Vol. 23, No. 2, 1999, pp. 183-213. doi:10.2307/249751

[19]   D. Comin and B. Hobija, “An Exploration of Technology Diffusion,” The American Economic Review, Vol. 100, No. 5, 2010, pp. 2031-2059.

[20]   V. Grover, J. Teng, A. H. Segars and K. Fiedler, “The Influence of Information Technology Diffusion and Business Process Change on Perceived Productivity: The IS Executive’s Perspective,” Information & Management, Vol. 34, No. 3, 1998, pp. 141-159. doi:10.1016/S0378-7206(98)00054-8

[21]   Y. Xue, H. Liang and W. R. Boulton, “Information Technology Governance in Information Technology Investment Decision Processes: The Impact of Investment Characteristics, External Environment, and Internal Context,” Management Information Systems Quarterly, Vol. 32, No. 1, 2008, p. 67.

[22]   M. A. Schilling and M. Esmundo, “Technology S-Curves in Renewable Energy Alternatives: Analysis and Implications for Industry and Government,” Energy Policy, Vol. 37, No. 5, 2009, pp. 1767-1781. doi:10.1016/j.enpol.2009.01.004

[23]   F. S. Wu and W. L. Chu, “Diffusion Models of Mobile Telephony,” Journal of Business Research, Vol. 63, No. 5, 2010, pp. 497-501.

 
 
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