Impediments to Information Systems Replacement: A Calculus of Discontinuance

References

• Agarwal, R., and Prasad, J. The antecedents and consequents of user perceptions in information technology adoption. Decision Support Systems, 22, 1 (1998), 15–29.
   Web of Science ®Google Scholar
• Alter, S., and Sherer, S.A. A general, but readily adaptable model of information system risk. Communications of the Association for Information Systems, 14 (2004), 1–28.
   Google Scholar
• Anderson, J.C., and Gerbing, D.W. Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 3 (1988), 411–423.
   Web of Science ®Google Scholar
• Arbuckle, J.L. Amos 18 User’s Guide. Chicago, IL: Amos Development, 2009.
   Google Scholar
• Arduini, F., and Morabito, V. Business continuity and the banking industry. Communications of the ACM, 53, 3 (2010), 121–125.
   Web of Science ®Google Scholar
• Banerjee, P., and Ma, L.C.K. Partial assimilation of technology: Prognosis and remedial measures. Journal of Organizational Computing and Electronic Commerce, 21, 2 (2011), 93–110.
   Web of Science ®Google Scholar
• Banker, R.D., and Slaughter, S.A. The moderating effects of structure on volatility and complexity in software enhancement. Information Systems Research, 11, 3 (2000), 219–240.
   Web of Science ®Google Scholar
• Barclay, D.W.; Higgins, C.A.; and Thompson, R. The partial least squares (PLS) approach to causal modeling: Personal computer adaptation and use as an illustration. Technology Studies, 2, 2 (1995), 285–309.
   Google Scholar
• Barley, S.R. Technology as an occasion for structuring: Evidence from observations of CT scanners and the social order of radiology departments. Administrative Science Quarterly, 31, 1 (1986), 78–108.
   PubMed Web of Science ®Google Scholar
• Bartels, B.; Ermel, U.; Sandborn, P.; and Pecht, M. Strategies to the Prediction, Mitigation and Management of Product Obsolescence. Hoboken, NJ: Wiley, 2012.
   Google Scholar
• Beatty, R.C., and Williams, C.D. ERP II: Best practices for successfully implementing an ERP upgrade. Communications of the ACM, 49, 3 (2006), 105–109.
   Web of Science ®Google Scholar
• Chen, C.-H., and Mort, G.S. Consumers’ technology adoption behaviour: An alternative model. Marketing Review, 7, 4 (2007), 355–368.
   Google Scholar
• Chin, W.W.; Thatcher, J.B.; and Wright, R.T. Assessing common method bias: Problems with the ULMC technique. MIS Quarterly, 36, 3 (2012), A1003–A1011.
   Web of Science ®Google Scholar
• Cocosila, M.; Archer, N.; and Yufei, Y. Early investigation of new information technology acceptance: A perceived risk-motivation model. Communications of the Association for Information Systems, 25 (2009), 339–358.
   Google Scholar
• Davenport, T.H.; Harris, J.G.; and Cantrell, S. Enterprise systems and ongoing process change. Business Process Management Journal, 10, 1 (2004), 16–26.
   Google Scholar
• Dewan, S.; Shi, C.; and Gurbaxani, V. Investigating the risk–return relationship of information technology investment: Firm-level empirical analysis. Management Science, 53, 12 (2007), 1829–1842.
   Google Scholar
• Dillman, D.A. Mail and Internet Surveys: The Tailored Design Method. Hoboken, NJ: Wiley, 2007.
   Google Scholar
• DiMaggio, P.J., and Powell, W.W. The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48, 2 (1983), 147–160.
   Web of Science ®Google Scholar
• Dinev, T.; Bellotto, M.; Hart, P.; Russo, V.; Serra, I.; and Colautti, C. Privacy calculus model in e-commerce: A study of Italy and the United States. European Journal of Information Systems, 15, 4 (2006), 389–402.
   Web of Science ®Google Scholar
• Dinev, T., and Hart, P. An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17, 1 (2006), 61–80.
   Web of Science ®Google Scholar
• Dooley, L.M., and Lindner, J.R. The handling of nonresponse error. Human Resource Development Quarterly, 14, 1 (2003), 99–110.
   Google Scholar
• Floyd, D.L.; Prentice-Dunn, S.; and Rogers, R.W. A meta-analysis of research on protection motivation theory. Journal of Applied Social Psychology, 30, 2 (2000), 407–429.
   Web of Science ®Google Scholar
• Frederick, S.; Loewenstein, G.; and O’Donoghue, T. Time discounting and time preference: A critical review. Journal of Economic Literature, 40, 2 (2002), 351–401.
   Web of Science ®Google Scholar
• Furneaux, B., and Wade, M. The end of the information system life: A model of IS discontinuance. Database for Advances in Information Systems, 41, 2 (2010), 45–69.
   Web of Science ®Google Scholar
• Furneaux, B., and Wade, M. An exploration of organizational level information systems discontinuance intentions. MIS Quarterly, 35, 3 (2011), 573–598.
   Web of Science ®Google Scholar
• Gallivan, M.J. Organizational adoption and assimilation of complex technological innovations: Development and application of a new framework. Database for Advances in Information Systems, 32, 3 (2001), 51–85.
   Google Scholar
• Gefen, D. Assessing unidimensionality through LISREL: An explanation and an example. Communications of the Association for Information Systems, 12 (2003), 23–47.
   Google Scholar
• Gefen, D., and Straub, D. A practical guide to factorial validity using PLS-Graph: Tutorial and annotated example. Communications of the Association for Information Systems, 16 (2005), 91–109.
   Google Scholar
• Goodhue, D.L.; Lewis, W.; and Thompson, R. Does PLS have advantages for small sample size or non-normal data? MIS Quarterly, 36, 3 (2012), 981–1002.
   Web of Science ®Google Scholar
• Goodhue, D.L., and Thompson, R.L. Task-technology fit and individual performance. MIS Quarterly, 19, 2 (1995), 213–236.
   Web of Science ®Google Scholar
• Gosain, S. Enterprise information systems as objects and carriers of institutional forces: The new iron cage? Journal of the Association for Information Systems, 5, 4 (2004), 151–182.
   Google Scholar
• Hair, J.F.; Black, W.C.; Babin, B.J.; Anderson, R.E.; and Tatham, R.L. Multivariate Data Analysis. Upper Saddle River, NJ: Pearson Prentice Hall, 2006.
   Google Scholar
• Hammer, M. Reengineering work: Don’t automate, obliterate. Harvard Business Review, 68, 4 (1990), 104–112.
   Web of Science ®Google Scholar
• Han, S.; Rezaee, Z.; Xue, L.; and Zhang, J.H. The association between information technology investments and audit risk. Journal of Information Systems, 30, 1 (2016), 93–116.
   Web of Science ®Google Scholar
• Hannan, M.T., and Freeman, J. The population ecology of organizations. American Journal of Sociology, 82, 5 (1977), 929–964.
   Web of Science ®Google Scholar
• Hannan, M.T., and Freeman, J. Structural inertia and organizational change. American Sociological Review, 49, 2 (1984), 149–164.
   Web of Science ®Google Scholar
• Hodgkinson, G.P., and Wright, G. Confronting strategic inertia in a top management team: Learning from failure. Organization Studies, 23, 6 (2002), 949–977.
   Web of Science ®Google Scholar
• Hu, L.T., and Bentler, P.M. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1 (1999), 1–55.
   Web of Science ®Google Scholar
• Kahneman, D., and Tversky, A. Prospect theory: An analysis of decision under risk. Econometrica, 47, 2 (1979), 263–291.
   Web of Science ®Google Scholar
• Keating, E.G., and Dixon, M. Investigating optimal replacement of aging air force systems. Defence and Peace Economics, 15, 5 (2004), 421–431.
   Web of Science ®Google Scholar
• Keil, M.; Wallace, L.; Turk, D.; Dixon-Randall, G.; and Nulden, U. An investigation of risk perception and risk propensity on the decision to continue a software development project. Journal of Systems and Software, 53, 2 (2000), 145–157.
   Web of Science ®Google Scholar
• Kelly, S.; Gibson, N.; Holland, C.P.; and Light, B. A business perspective of legacy information systems. Communications of the Association for Information Systems, 2, 7 (1999), 1–27.
   Google Scholar
• Khoo, H.M., and Robey, D. Deciding to upgrade packaged software: A comparative case study of motives, contingencies and dependencies. European Journal of Information Systems, 16, 5 (2007), 555–567.
   Web of Science ®Google Scholar
• Kim, S.S.; Malhotra, N.K.; and Narasimhan, S. Two competing perspectives on automatic use: A theoretical and empirical comparison. Information Systems Research, 16, 4 (2005), 418–432.
   Web of Science ®Google Scholar
• Kock, N., and Lynn, G.S. Lateral collinearity and misleading results in variance-based sem: An illustration and recommendations. Journal of the Association for Information Systems, 13, 7 (2012), 546–580.
   Web of Science ®Google Scholar
• Kraatz, M.S., and Moore, J.H. Executive migration and institutional change. Academy of Management Journal, 45, 1 (2002), 120–143.
   Web of Science ®Google Scholar
• Kremers, M., and Van Dissel, H. ERP system migrations. Communications of the ACM, 43, 4 (2000), 52–56.
   Web of Science ®Google Scholar
• Krishnan, M.S.; Mukhopadhyay, T.; and Kriebel, C.H. A decision model for software maintenance. Information Systems Research, 15, 4 (2004), 396–412.
   Web of Science ®Google Scholar
• Lai, V.S.; Lai, F.; and Lowry, P.B. Technology evaluation and imitation: Do they have differential or dichotomous effects on ERP adoption and assimilation in China? Journal of Management Information Systems, 33, 4 (2016), 1209–1251.
   Web of Science ®Google Scholar
• Land, R., and Crnkovic, I. Software systems in-house integration: Architecture, process practices, and strategy selection. Information and Software Technology, 49, 5 (2007), 419–444.
   Web of Science ®Google Scholar
• Lapointe, L., and Rivard, S. A multilevel model of resistance to information technology implementation. MIS Quarterly, 29, 3 (2005), 461–491.
   Web of Science ®Google Scholar
• Lee, R.P.; Johnson, J.L.; and Tang, X. An investigation into the role of IT integration, relationship predictability and routinization in interfirm relationships: From the structuration perspective. Industrial Marketing Management, 41, 2 (2012), 368–377.
   Web of Science ®Google Scholar
• Leonardi, P.M.; Bailey, D.E.; Diniz, E.H.; Sholler, D.; and Nardi, B. Multiplex appropriation in complex systems implementation: The case of Brazil’s correspondent banking system. MIS Quarterly, 40, 2 (2016), 461–474.
   Web of Science ®Google Scholar
• Levitt, B., and March, J.G. Organizational learning. Annual Review of Sociology, 14, 1 (1988), 319–338.
   Web of Science ®Google Scholar
• Liang, H.; Peng, Z.; Xue, Y.; Guo, X.; and Wang, N. Employees’ exploration of complex systems: An integrative view. Journal of Management Information Systems, 32, 1 (2015), 322–357.
   Web of Science ®Google Scholar
• Lieberman, M.B., and Asaba, S. Why do firms imitate each other? Academy of Management Review, 31, 2 (2006), 366–385.
   Web of Science ®Google Scholar
• Limayem, M.; Hirt, S.G.; and Cheung, C.M.K. How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31, 4 (2007), 705–737.
   Web of Science ®Google Scholar
• Liu, H.; Ke, W.; Wei, K.K.; Gu, J.; and Chen, H. The role of institutional pressures and organizational culture in the firm’s intention to adopt internet-enabled supply chain management systems. Journal of Operations Management, 28, 5 (2010), 372–384.
   Web of Science ®Google Scholar
• Lyytinen, K.; Newman, M.; and Al-Muharfi, A.-R.A. Institutionalizing enterprise resource planning in the Saudi steel industry: A punctuated socio-technical analysis. Journal of Information Technology, 24, 4 (2009), 286–304.
   Web of Science ®Google Scholar
• Markus, M.L.; Steinfield, C.W.; Wigand, R.T.; and Minton, G. Industry-wide information systems standardization as collective action: The case of the U.S. residential mortgage industry. MIS Quarterly, 30, 5 (2006), 439–465.
   Google Scholar
• McLeod, L., and MacDonell, S.G. Factors that affect software systems development project outcomes: A survey of research. ACM Computing Surveys, 43, 4 (2011), 24.21–24.56.
   Google Scholar
• Mehra, A.; Seidmann, A.; and Mojumder, P. Product life-cycle management of packaged software. Production and Operations Management, 23, 3 (2014), 366–378.
   Web of Science ®Google Scholar
• Meyer, J.W., and Rowan, B. Institutionalized organizations: Formal structure as myth and ceremony. American Journal of Sociology, 83, 2 (1977), 340–363.
   Web of Science ®Google Scholar
• Milne, S.; Sheeran, P.; and Orbell, S. Prediction and intervention in health-related behavior: A meta-analytic review of protection motivation theory. Journal of Applied Social Psychology, 30, 1 (2000), 106–143.
   Web of Science ®Google Scholar
• Mukherji, N.; Rajagopalan, B.; and Tanniru, M. A decision support model for optimal timing of investments in information technology upgrades. Decision Support Systems, 42, 3 (2006), 1684–1696.
   Google Scholar
• Nah, F.F.-H., and Delgado, S. Critical success factors for enterprise resource planning implementation and upgrade. Journal of Computer Information Systems, 46 (2006), 99–113.
   Google Scholar
• Nakagawa, T.H. SAP—A globally enterprising company: European lessons from the enterprise software industry. Business and Politics, 3, 2 (2001), 109–134.
   Google Scholar
• Nickerson, J.V., and zur Muehlen, M. The ecology of standards processes: Insights from internet standard making. MIS Quarterly, 30, 5 (2006), 467–488.
   Google Scholar
• Nicolaou, A., and Bhattacharya, S. Sustainability of ERPs performance outcomes: The role of post-implementation review quality. International Journal of Accounting Information Systems, 9, 1 (2008), 43–60.
   Google Scholar
• Nicolaou, A.I., and Bhattacharya, S. Organizational performance effects of ERP systems usage: The impact of post-implementation changes. International Journal of Accounting Information Systems, 7, 1 (2006), 18–35.
   Google Scholar
• Ordoobadi, S.M. Opportunity costs of risks in evaluation of advanced technologies. International Journal of Innovation and Technology Management, 4, 3 (2007), 305–321.
   Google Scholar
• Otim, S.; Dow, K.E.; Grover, V.; and Wong, J.A. The impact of information technology investments on downside risk of the firm: Alternative measurement of the business value of IT. Journal of Management Information Systems, 29, 1 (2012), 159–194.
   Web of Science ®Google Scholar
• Podsakoff, P.M.; MacKenzie, S.B.; and Podsakoff, N.P. Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 1 (2012), 539–569.
   PubMed Web of Science ®Google Scholar
• Posey, C.; Roberts, T.L.; and Lowry, P.B. The impact of organizational commitment on insiders’ motivation to protect organizational information assets. Journal of Management Information Systems, 32, 4 (2015), 179–214.
   Web of Science ®Google Scholar
• Randall, D.; Hughes, J.; O’Brien, J.; Rodden, T.; Rouncefield, M.; Sommerville, I.; and Tolmie, P. Banking on the old technology: Understanding the organizational context of “legacy” issues. Communications of the Association for Information Systems, 2, 8 (1999), 1–27.
   Google Scholar
• Ravichandran, T.; Shu, H.; and Hasan, I. Effects of institutional pressures on information technology investments: An empirical investigation. IEEE Transactions on Engineering Management, 56, 4 (2009), 677–691.
   Web of Science ®Google Scholar
• Ringle, C.M.; Wende, S.; and Will, A. SmartPLS. Hamburg, Germany: University of Hamburg, 2005.
   Google Scholar
• Ryley, S. Legacy systems stifle business options. Telecom Asia, 19 (2008), 24–25.
   Google Scholar
• Salge, T.O.; Kohli, R.; and Barrett, M. Investing in information systems: On the behavioral and institutional search mechanisms underpinning hospitals’ is investment decisions. MIS Quarterly, 39, 1 (2015), 61–90.
   Web of Science ®Google Scholar
• Samuelson, W., and Richard, Z. Status quo bias in decision making. Journal of Risk and Uncertainty, 1, 1 (1988), 7–59.
   Google Scholar
• Sandborn, P.A. Editorial: Software obsolescence-complicating the part and technology obsolescence management problem. IEEE Transactions on Components and Packaging Technologies, Part A, 30, 4 (2007), 886–888.
   Web of Science ®Google Scholar
• Sandborn, P.A.; Herald, T.E., Jr.; Houston, J.; and Singh, P. Optimum technology insertion into systems based on the assessment of viability. IEEE Transactions on Components and Packaging Technologies, 26, 4 (2003), 734–738.
   Google Scholar
• Sandborn, P.A.; Mauro, F.; and Knox, R. A data mining based approach to electronic part obsolescence forecasting. IEEE Transactions on Components and Packaging Technologies, 30, 3 (2007), 397–401.
   Web of Science ®Google Scholar
• Scott, W.R. Institutions and Organizations. Thousand Oaks, CA: Sage, 2001.
   Google Scholar
• Seo, M.-G., and Creed, W.E.D. Institutional contradictions, praxis, and institutional change: A dialectical perspective. Academy of Management Review, 27, 2 (2002), 222–247.
   Web of Science ®Google Scholar
• Simon, M.; Houghton, S.M.; and Aquino, K. Cognitive biases, risk perception, and venture formation: How individuals decide to start companies. Journal of Business Venturing, 15, 2 (1999), 113–134.
   Web of Science ®Google Scholar
• Sommerville, I.; Cliff, D.; Calinescu, R.; Keen, J.; Kelly, T.; Kwiatkowska, M.; McDermid, J.; and Paige, R. Large-scale complex IT systems. Communications of the ACM, 55, 7 (2012), 71–77.
   Web of Science ®Google Scholar
• Son, J.-Y., and Benbasat, I. Organizational buyers’ adoption and use of B2B electronic marketplaces: Efficiency- and legitimacy-oriented perspectives. Journal of Management Information Systems, 24, 1 (2007), 55–99.
   Web of Science ®Google Scholar
• Sørensen, J.B., and Stuart, T.E. Aging, obsolescence, and organizational innovation. Administrative Science Quarterly, 45, 1 (2000), 81–112.
   Web of Science ®Google Scholar
• Swanson, E.B., and Dans, E. System life expectancy and the maintenance effort: Exploring their equilibration. MIS Quarterly, 24, 2 (2000), 277–297.
   Web of Science ®Google Scholar
• Tabachnick, B.G., and Fidell, L.S. Using Multivariate Statistics. Boston, MA: Pearson Education, 2007.
   Google Scholar
• Teo, H.H.; Wei, K.K.; and Benbasat, I. Predicting intention to adopt interorganizational linkages: An institutional perspective. MIS Quarterly, 27, 1 (2003), 19–49.
   Web of Science ®Google Scholar
• Themistocleous, M., and Irani, Z. Benchmarking the benefits and barriers of application integration. Benchmarking, 8, 4 (2001), 317–331.
   Google Scholar
• Thompson, O. Legacy systems: Weighing the costs, benefits and risks. Food Engineering, 2011. Available at: http://www.foodengineeringmag.com/articles/88768-legacy-systems-weighing-the-costs-benefits-and-risks (accessed on January 4, 2017)
   Google Scholar
• Turner, S.F.; Mitchell, W.; and Bettis, R.A. Responding to rivals and complements: How market concentration shapes generational product innovation strategy. Organization Science, 21, 4 (2010), 854–872.
   Web of Science ®Google Scholar
• Ulrich, W.M. Legacy Systems: Transformation Strategies. Upper Saddle River, NJ: Pearson Education, 2002.
   Google Scholar
• Venkatesh, V.; Davis, F.D.; and Morris, M.G. Dead or alive? The development, trajectory and future of technology adoption research. Journal of the Association for Information Systems, 8, 4 (2007), 268–286.
   Web of Science ®Google Scholar
• Wailgum, T. Citing botched ERP system, fire truck maker says IBM contributed to bankruptcy. CIO Magazine, 2008. Available at: https://www.cio.com/article/2437244/enterprise-resource-planning/citing-botched-erp-system--fire-truck-maker-says-ibm-contributed-to-ban.html (accessed on September 24, 2017)
   Google Scholar
• Weick, K.E., and Quinn, R.E. Organizational change and development. Annual Review of Psychology, 50, 1 (1999), 361–386.
   PubMed Web of Science ®Google Scholar
• Williams, L.J.; Hartman, N.; and Cavazotte, F. Method variance and marker variables: A review and comprehensive CFA marker technique. Organizational Research Methods, 13, 3 (2010), 477–514.
   Web of Science ®Google Scholar
• Xue, Y.; Liang, H.; and Boulton, W.R. Information technology governance in information technology investment decision processes: The impact of investment characteristics, external environment, and internal context. MIS Quarterly, 32, 1 (2008), 67–96.
   Web of Science ®Google Scholar
• Yen, H.R.; Hu, P.J.-H.; Hsu, S.H.-Y.; and Li, E.Y. A multilevel approach to examine employees’ loyal use of ERP systems in organizations. Journal of Management Information Systems, 32, 4 (2015), 144–178.
   Web of Science ®Google Scholar
• Zhang, W., and Xu, P. Do I have to learn something new? Mental models and the acceptance of replacement technologies. Behaviour and Information Technology, 30, 2 (2011), 201–211.
   Web of Science ®Google Scholar
• Zigurs, I., and Buckland, B.K. A theory of task/technology fit and group support systems effectiveness. MIS Quarterly, 22, 3 (1998), 313–334.
   Web of Science ®Google Scholar