Browse > Article
http://dx.doi.org/10.13088/jiis.2013.19.1.035

A study on the Success Factors and Strategy of Information Technology Investment Based on Intelligent Economic Simulation Modeling  

Park, Do-Hyung (Department of Management Information System, Kookmin University)
Publication Information
Journal of Intelligence and Information Systems / v.19, no.1, 2013 , pp. 35-55 More about this Journal
Abstract
Information technology is a critical resource necessary for any company hoping to support and realize its strategic goals, which contribute to growth promotion and sustainable development. The selection of information technology and its strategic use are imperative for the enhanced performance of every aspect of company management, leading a wide range of companies to have invested continuously in information technology. Despite researchers, managers, and policy makers' keen interest in how information technology contributes to organizational performance, there is uncertainty and debate about the result of information technology investment. In other words, researchers and managers cannot easily identify the independent factors that can impact the investment performance of information technology. This is mainly owing to the fact that many factors, ranging from the internal components of a company, strategies, and external customers, are interconnected with the investment performance of information technology. Using an agent-based simulation technique, this research extracts factors expected to affect investment performance on information technology, simplifies the analyses of their relationship with economic modeling, and examines the performance dependent on changes in the factors. In terms of economic modeling, I expand the model that highlights the way in which product quality moderates the relationship between information technology investments and economic performance (Thatcher and Pingry, 2004) by considering the cost of information technology investment and the demand creation resulting from product quality enhancement. For quality enhancement and its consequences for demand creation, I apply the concept of information quality and decision-maker quality (Raghunathan, 1999). This concept implies that the investment on information technology improves the quality of information, which, in turn, improves decision quality and performance, thus enhancing the level of product or service quality. Additionally, I consider the effect of word of mouth among consumers, which creates new demand for a product or service through the information diffusion effect. This demand creation is analyzed with an agent-based simulation model that is widely used for network analyses. Results show that the investment on information technology enhances the quality of a company's product or service, which indirectly affects the economic performance of that company, particularly with regard to factors such as consumer surplus, company profit, and company productivity. Specifically, when a company makes its initial investment in information technology, the resultant increase in the quality of a company's product or service immediately has a positive effect on consumer surplus, but the investment cost has a negative effect on company productivity and profit. As time goes by, the enhancement of the quality of that company's product or service creates new consumer demand through the information diffusion effect. Finally, the new demand positively affects the company's profit and productivity. In terms of the investment strategy for information technology, this study's results also reveal that the selection of information technology needs to be based on analysis of service and the network effect of customers, and demonstrate that information technology implementation should fit into the company's business strategy. Specifically, if a company seeks the short-term enhancement of company performance, it needs to have a one-shot strategy (making a large investment at one time). On the other hand, if a company seeks a long-term sustainable profit structure, it needs to have a split strategy (making several small investments at different times). The findings from this study make several contributions to the literature. In terms of methodology, the study integrates both economic modeling and simulation technique in order to overcome the limitations of each methodology. It also indicates the mediating effect of product quality on the relationship between information technology and the performance of a company. Finally, it analyzes the effect of information technology investment strategies and information diffusion among consumers on the investment performance of information technology.
Keywords
Information Technology Investment; Information Technology Value; Agent-Based Simulation; Economic Modeling; Information Diffusion Effect;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Thatcher, M. E. and D. E. Pingry, "An Economic Model of Product Quality and IT Value", Information Systems Research, Vol.15, No.3 (2004), 268-286.   DOI   ScienceOn
2 Baek, S., J. Ju, and S. Koo, "Balanced Scorecard using System Dynamics for Evaluating IT Investment", Journal of Intelligence and Information Systems, Vol.14, No.1(2008), 19-34.
3 Barua, A., C. H. Kriebel, and T. Mukhopadhyay, "Information technologies and business value : an analytic and empirical investigation", Information Systems Research, Vol.6, No.1 (1995), 3-23.   DOI
4 Bender, D. H., "Financial impact of information processing", Journal of Management Information Systems, Vol.3, No.2(1986), 22-32.   DOI
5 Berndt, E. R. and C. J. Morrison, "Assessing the productivity of information technology equipment in the U.S. manufacturing industries", National Bureau of Economic, Research Working Paper, 3582 (1994).
6 Brynjolfsson, E., "The contribution of information technology to consumer welfare", Information Systems Research, Vol.7, No.3(1996), 281-300.   DOI   ScienceOn
7 Brynjolfsson, E., "The productivity paradox of information technology", Communications of the ACM, Vol.36, No.12(1993), 67-77.   DOI   ScienceOn
8 Davern, M. J. and R. J. Kauffman, "Discovering Potential and Realizing Value from Information Technology Investment", Journal Management Information Systems, Vol.16, No.4 (2000), 121-143.   DOI
9 Lee, Y. and S. R. T. Kumara, "An Agent based Emergency Warning System for Dealing With Defensive Information Warfare in Strategic Simulation Exercises", Journal of Intelligence and Information Systems, Vol.10, No.3(2004), 11-26.
10 Premkumar, G. and W. R. King, "An Empirical Assessment of Information Systems Planning and the Role of Information Systems in Organizations", Journal ofManagement Information Systems, Vol.9, No.2(1992), 99-125.   DOI
11 Premkumar, G. and W. R. King, "The Evaluation of Strategic Information System Planning", Information and Management, Vol.26(1994), 99-125.
12 Raghunathan, S., "Impact of information quality and decision-maker quality on decision quality : a theoretical model and simulation analysis", Decision Support Systems, Vol.26(1999), 275-286.   DOI   ScienceOn
13 Sabherwal, R. and Y. E. Chan, "Alignment between Business and IS Strategies : A Study of Prospectors, Analyzers and Defenders", Information Systems Research, Vol.12, No.1 (2001), 11-33.   DOI   ScienceOn
14 Seo, W., D. Lee, and G. Lim, "A Study on the Performance Evaluation of G2B Procurement Process Innovation by Using MAS : Korea G2B KONEPS Case", Journal of Intelligence and Information Systems, Vol.18, No.2(2012), 157-175.
15 Strassmann, P. A., The business value of computers. New Canaan, CT : Information Economics Press, 1990.
16 Tallon, P. P., K. L. Kraemer, and V. Gurbaxani, "Executives? Perceptions of the Business Value of Information Technology : A Process-oriented Approach", Journal of Management Information Systems, Vol.16, No.4(2000), 145-173.   DOI
17 Chan, Y. E. and S. L. Huff, "Strategic Information Systems Alignment", Business Quarterly, Vol. 58, No.1(1993), 51-55.
18 Loveman, G. W., An assessment of the productivity impact on information technologies. In T. J. Allen, and M. S. Morton, Information technology and the corporation of the 1990s : Research studies. Cambridge : MIT Press, 1994.