Development of a framework to assess and guide IT investments: An analysis based on a discretionary-mandatory classification

Assessing the economic feasibility of information technology (IT) projects remains a challenge for most organizations. On one hand there are concerns for the rising IT costs, on the other hand organizations may lose significantly if they do not make an appropriate investment in IT. Considering the range of IT projects, a single, standardized capital budgeting approach may not serve the best interests of organizations. This paper presents a framework to help evaluate different IT projects through a mix of suitable methods. The framework is based on the classification of IT projects along a discretionary-mandatory dimension into four types: purely discretionary, mainly discretionary, mainly mandatory, and purely mandatory. A set of factors are identified that may influence the final classification of an IT project into one of the four types. This classification is used to arrive at suitable IT evaluation techniques and methods. Use of strict financial evaluation criteria is suggested for discretionary projects. The need for analyzing financial risks associated with IT projects is also identified and it is suggested that higher standards of project acceptance be used for riskier projects that are not deemed mandatory in the earlier analysis. The framework should be useful for information systems researchers and practitioners in streamlining the assessment of IT projects.

[1]  Milena M. Head,et al.  E-Tailing: An Analysis of Web Impacts On The Retail Market , 2002, Journal of Business Strategies.

[2]  M. Jeffery,et al.  Best Practices in IT Portfolio Management , 2004 .

[3]  B. Santos Justifying investments in new information technologies , 1991 .

[4]  George P. Schell Establishing the Value of Information Systems , 1986 .

[5]  Ram L. Kumar Justifying data warehousing investments , 2000 .

[6]  Eduardo S. Schwartz,et al.  Investment Under Uncertainty. , 1994 .

[7]  Leslie Will cocks It evaluation: Managing the catch 22 , 1992 .

[8]  Eric K. Clemons,et al.  Evaluation of strategic investments in information technology , 1991, CACM.

[9]  Mo Adam Mahmood,et al.  Measuring the Organizational Impact of Information Technology Investment: An Exploratory Study , 1993, J. Manag. Inf. Syst..

[10]  Niv Ahituv,et al.  Identifying the value and importance of an information system application , 1996, Inf. Manag..

[11]  Jukka Ranta,et al.  Economics and success factors of flexible manufacturing systems: The conventional explanation revisited , 1990 .

[12]  Kaj Grønbæk,et al.  CSCW challenges: cooperative design in engineering projects , 1993, CACM.

[13]  Andrew P. McAfee When Too Much IT Knowledge Is a Dangerous Thing , 2003 .

[14]  Carlos Zozaya-Gorostiza,et al.  Investment Under Uncertainty in Information Technology: Acquisition and Development Projects , 2003, Manag. Sci..

[15]  Larry Press,et al.  Personal computing: personal computers and the world software market , 1991, CACM.

[16]  V. Lai,et al.  Correlating business process re-engineering with the information systems department , 2004 .

[17]  J. Rockart Chief executives define their own data needs. , 1979, Harvard business review.

[18]  Mark N. Frolick,et al.  Building Customer Data Warehouses for A Marketing and Service Environment: A Case Study , 2001, Inf. Syst. Manag..

[19]  M. Venkatraman It-enabled business transformation: from automation to business scope redefinition , 1994 .

[20]  Jack D. Callon,et al.  Competitive Advantage Through Information Technology , 1995 .

[21]  Grover S. Kearns,et al.  A Multi-Objective, Multi-Criteria Approach for Evaluating IT Investments: Results from Two Case Studies , 2004, Inf. Resour. Manag. J..

[22]  William R. King,et al.  Integration between Business Planning and Information Systems Planning: An Evolutionary-Contingency Perspective , 1997, J. Manag. Inf. Syst..

[23]  Rajiv Sabherwal,et al.  Towards a theory of strategic use of information resources: An inductive approach , 1991, Inf. Manag..

[24]  Dilip Wagle,et al.  The Case for ERP Systems , 1998 .

[25]  Nikki Swartz,et al.  The cost of Sarbanes-Oxley , 2003 .

[26]  D. Sandy Staples,et al.  Testing the Technology-to-Performance Chain Model , 2004, J. Organ. End User Comput..

[27]  Virginia Franke Kleist,et al.  An Approach to Evaluating E-Business Information Systems Projects , 2003, Inf. Syst. Frontiers.

[28]  Efraim Turban,et al.  Information Technology for Management: Transforming Organizations in the Digital Economy , 2004 .

[29]  Kalle Lyytinen,et al.  Identifying Software Project Risks: An International Delphi Study , 2001, J. Manag. Inf. Syst..

[30]  David McComb,et al.  System project failure : the heuristics of risk , 1991 .

[31]  Wikil Kwak,et al.  Income Smoothing and Discretionary R&D Expenditures of Japanese Firms* , 2000 .

[32]  Erik Brynjolfsson,et al.  The productivity paradox of information technology , 1993, CACM.

[33]  Suzanne Rivard,et al.  An Integrative Contingency Model of Software Project Risk Management , 2001, J. Manag. Inf. Syst..

[34]  Thomas R. Nunamaker,et al.  RATIONING DISCRETIONARY ECONOMIC RESOURCES: A MULTIOBJECTIVE APPROACH , 1987 .

[35]  Toni M. Somers,et al.  Impact of Competitive Strategy and Information Technology Maturity on Firms' Strategic Response to Globalization , 1996, J. Manag. Inf. Syst..

[36]  William L. Megginson,et al.  Corporate finance theory , 1997 .

[37]  Lawrence E. Whitman,et al.  An enterprise transformation methodology to mitigate Y2K risk , 1999 .

[38]  C. James Bacon,et al.  The Use of Decision Criteria in Selecting Information Systems/Technology Investments , 1992, MIS Q..

[39]  J. D. Couger E pluribus computum , 1986 .

[40]  Tom Renkema Boekbespreking Farbey, B.; Land, F.; Targett, D.: how to assess your IT investment, a study of methods and practice (Butterworth Heinemann, Oxford, 1993) , 1994 .