466
Views
50
CrossRef citations to date
0
Altmetric
Original Article

Information Processing Design Choices, Strategy, and Risk Management Performance

, , &
Pages 293-319 | Published online: 08 Dec 2014

References

  • Aiken, L.S., and West, S.G. Multiple Regression: Testing and Interpreting Interactions. Newbury Park, CA: Sage, 1991.
  • Apte, U.M., and Mason, R.O. Global disaggregation of information-intensive services. Management Science, 41, 7 (1995), 1250-1262.
  • Ashmore, G.M. How to develop an information technology strategy. Journal of Business Strategy, 12, 2 (1991), 50-52.
  • Bardhan, I.; Bagchi, S.; and Sougstad, R. Prioritizing a portfolio of information technology investment projects. Journal of Management Information Systems, 21, 2 (Fall 2004), 33-60.
  • Barua, A.; Kriebel, C.H.; and Mukhopadhyay, T. 1995. Information technologies and business value: An analytic and empirical investigation. Information Systems Research, 6, 1 (1995), 3-23.
  • Belsley, D.A.; Kuh, E.; and Welsch, R.E. Regression Diagnostics. New York: John Wiley and Sons, 1980.
  • Benjamin, R.I.; Rockart, J.F.; Scott Morton, M.S.; and Wyman, J. Information technology: A strategic opportunity. Sloan Management Review, 25, 3 (1984), 3-10.
  • Berger, A.N.; Cummins, J.D.; and Weiss, M.A. The coexistence of multiple distribution systems for financial services: The case of property-liability insurance. Journal of Business, 70, 4 (1997), 515-546.
  • Bergeron, F.; Raymond, L.; and Rivard, S. Fit in strategic information technology management research: An empirical comparison of perspectives. Omega, 29, 2 (2001), 125-142.
  • Best's Key Rating Guide, Life-Health, United States. Oldwick, NJ: A.M. Best, 1998 and 2001.
  • Blair, R.D.; Jackson, J.R.; and Vogel, R.J. Economies of scale in the administration of health insurance. Review of Economics and Statistics, 57, 2 (1975), 185-189.
  • Bourgeois, L.J., III. Strategic goals, perceived uncertainty, and economic performance in volatile environments. Academy of Management Journal, 28, 3 (1985), 548-573.
  • Brown, R.M.; Gatian, A.W.; and Hicks, J.O., Jr. Strategic information systems and financial performance. Journal of Management Information Systems, 11, 4 (Spring 1995), 215-248.
  • Brynjolfsson, E., and Hitt, L.M. Paradox lost? Firm-level evidence on the returns to information systems spending. Management Science, 42, 4 (1996), 541-558.
  • Brynjolfsson, E., and Hitt, L.M. Beyond the productivity paradox. Communications of the ACM, 41, 3 (1998), 49-55.
  • Brynjolfsson, E., and Hitt, L.M. Beyond computation: Information technology, organizational transformation and business performance. Journal of Economic Perspectives, 14, 4 (2000), 23-48.
  • Brynjolfsson, E.; Hitt, L.M.; and Yang, S. Intangible assets: Computers and organizational capital. Brookings Papers on Economic Activity, 1 (2002), 137-181.
  • Carr, N.G. IT doesn't matter. Educause Review, 38, 6 (2003), 24-39.
  • Cash, J.L., Jr.; McFarlan, F.W.; and McKenney, J.L. Corporate Information Systems Management: The Issues Facing Senior Executives. Homewood, IL: Irwin, 1988.
  • Charnes, A.; Cooper, W.W.; and Rhodes, E. Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 6 (1978), 429-444.
  • Chen, T. Determining the comparative efficient units of insurance industries through DEA. Journal of Professional Services Marketing, 18, 2 (1999), 105-118.
  • Child, J. Information technology, organization, and the response to strategic challenges. California Management Review, 30, 1 (1987), 33-50.
  • Clemons, E.K. Information systems for sustainable competitive advantage. Information & Management, 11, 3 (1986), 131-136.
  • Cummins, J.D. Efficiency in the U.S. life insurance industry: Are insurers minimizing costs and maximizing revenues? In J.D. Cummins and A.M. Santomero (eds.), Changes in the Life Insurance Industry: Efficiency, Technology and Risk Management. Boston: Kluwer, 1999, pp. 75-115.
  • Cummins, J.D., and Nini, G.P. Optimal capital utilization by financial firms: Evidence from the property-liability insurance industry. Journal of Financial Services Research, 21, 1-2 (2002), 15-33.
  • Cummins, J.D., and Weiss, M.A. Measuring cost efficiency in the property-liability insurance industry. Journal of Banking and Finance, 17, 2-3 (1993), 463-481.
  • Cummins, J.D.; Rubio-Misas, M.; and Zi, H. The effect of organizational structure on efficiency: Evidence from the Spanish insurance industry. Journal of Banking and Finance, 28, 12 (2004), 3113-3150.
  • Cummins, J.D.; Tennyson, S.; and Weiss, M.A. Consolidation and efficiency in the U.S. life insurance industry. Journal of Banking and Finance, 23, 2-4 (1999), 325-357.
  • Cummins, J.D.; Weiss, M.A.; and Zi, H. Organizational form and efficiency: The coexistence of stock and mutual property-liability insurers. Management Science, 45, 9 (1999), 1254-1269.
  • Dedrick, J.; Gurbaxani, V.; and Kraemer, K.L. Information technology and economic performance: A critical review of the empirical evidence. ACM Computing Surveys, 35, 1 (2003), 1-28.
  • DeLone, W.H., and McLean, E.R. The DeLone and McLean model of information system success: A ten-year update. Journal of Management Information Systems, 19, 4 (Spring 2003), 9-30.
  • Devaraj, S., and Kohli, R. Information technology payoff in the health-care industry: A longitudinal study. Journal of Management Information Systems, 16, 4 (Spring 2000), 41-67.
  • Dewan, S., and Kraemer, K.L. Information technology and productivity: Evidence from country-level data. Management Science, 46, 4 (2000), 548-562.
  • Dewan, S., and Min, C. The substitution of information technology for other factors of production: A firm-level analysis. Management Science, 43, 12 (1997), 1660-1675.
  • Dewett, T., and Jones, G.R. The role of information technology in the organization: A review, model, and assessment. Journal of Management, 27, 3 (2001), 313-346.
  • Donaldson, L. (ed.) Contingency Theory. Aldershot, UK: Dartmouth, 1995.
  • Earl, M.J. Management Strategies for Information Technology. Upper Saddle River, NJ: Prentice Hall, 1989.
  • Egelhoff, W.G. Strategy and structure in multinational corporations: An information-processing approach. Administrative Science Quarterly, 27, 3 (1982), 435-458.
  • Eisenhardt, K.M. Building theories from case study research. Academy of Management Review, 14, 4 (1989), 532-550.
  • Epstein, M.K., and Henderson, J.C. Data envelopment analysis for managerial control and diagnosis. Decision Sciences, 20, 1 (1989), 90-119.
  • Galbraith, J.R. Designing Complex Organizations. Reading, MA: Addison-Wesley, 1973.
  • Galbraith, J.R. Organization Design. Reading, MA: Addison-Wesley, 1977.
  • Gardner, L.A. An analysis of cost inefficiencies in the U.S. life insurance industry: Sources and measurement. Ph.D. dissertation, Georgia State University, 1992.
  • Gardner, L.A., and Grace, M.F. X-efficiency in the U.S. life insurance industry. Journal of Banking and Finance, 17, 2-3 (1993), 497-510.
  • Gart, A. An Analysis of the New Financial Institutions. New York: Quorum Books, 1989.
  • Hambrick, D.C., and Mason, P.A. Upper echelons: The organization as a reflection of its top managers. Academy of Management Review, 9, 2 (1984), 193-206.
  • Hammer, M. Reengineering work: Don't automate, obliterate. Harvard Business Review, 68, 4 (1990), 104-112.
  • Harris, S.E., and Katz, J.L. Organizational performance and information technology investment intensity in the insurance industry. Organization Science, 2, 3 (1991), 263-295.
  • Hitt, L.M. The impact of information technology management practices on the performance of life insurance companies. In J.D. Cummins and A.M. Santomero (eds.), Changes in the Life Insurance Industry: Efficiency, Technology and Risk Management. Boston: Kluwer, 1999, pp. 211-243.
  • Hitt, L.M., and Brynjolfsson, E. Productivity, business profitability, and consumer surplus: Three different measures of information technology value. MIS Quarterly, 20, 2 (1996), 121-142.
  • Huber, G.P. A theory of the effects of advanced information technologies on organizational design, intelligence, and decision making. Academy of Management Review, 15, 1 (1990), 47-71.
  • James, L.R.; Demaree, R.G.; and Wolf, G. Estimating within-group interrater reliability with and without response bias. Journal of Applied Psychology, 69, 1 (1984), 85-98.
  • Keen, P.G.W. Shaping the Future: Business Design Through Information Technology. Boston: Harvard Business School Press, 1991.
  • Knight, K.E., and McDaniel, R.R., Jr. Organizations: An Information Systems Perspective. Belmont, CA: Wadsworth, 1979.
  • Kohli, R., and Devaraj, S. Measuring information technology payoff: A meta-analysis of structural variables in firm-level empirical research. Information Systems Research, 14, 2 (2003), 127-145.
  • Kudyba, S., and Diwan, R. Research report: Increasing returns to information technology. Information Systems Research, 13, 1 (2002), 104-111.
  • Kumar, R.L. A framework for assessing the business value of information technology infrastructures. Journal of Management Information Systems, 21, 2 (Fall 2004), 11-32.
  • Lawler, E.E., III. From the Ground Up: Six Principles for Building the New Logic Corporation. San Francisco: Jossey-Bass, 1996.
  • Lawrence, P.R., and Lorsch, J.W. Organization and Environment: Managing Differentiation and Integration. Boston: Harvard Business School Press, 1967.
  • Lederer, A.L., and Mendelow, A.L. Issues in information systems planning. Information & Management, 10, 5 (1986), 245-254.
  • Lederer, A.L., and Mendelow, A.L. Coordination of information systems with business plans. Journal of Management Information Systems, 6, 2 (Fall 1989), 5-19.
  • Lichtenberg, F.R. The output contributions of computer equipment and personnel: A firm-level analysis. Economics of Innovation and New Technology, 3 (1995), 201-217.
  • Life Insurance Fact Book. Washington, DC: American Council of Life Insurance, 1998.
  • Lovell, C.A.K., and Pastor, J.T. Target setting: An application to a bank branch network. European Journal of Operational Research, 98, 2 (1997), 290-299.
  • Mahmood, M.A., and Mann, G.J. Special issue: Impacts of information technology investment on organizational performance. Journal of Management Information Systems, 16, 4 (Spring 2000), 3-10.
  • Mahmood, M.A., and Soon, S.K. A comprehensive model for measuring the potential impact of information technology on organizational strategic variables. Decision Sciences, 22, 4 (1991), 869-897.
  • McFarlan, F.W.; McKenny, J.L.; and Pyburn, P. The information archipelago—Plotting a course. Harvard Business Review, 61, 1 (1983), 145-156.
  • Miles, R.E., and Snow, C.C. Organizational Strategy, Structure, and Process. New York: McGraw-Hill, 1978.
  • Miles, R.H. Coffin Nails and Corporate Strategies. Englewood Cliffs, NJ: Prentice Hall, 1982.
  • Miller, D.C. Handbook of Research Design and Social Measurement, 5th ed. Newbury Park, CA: Sage, 1991.
  • Mintzberg, H. The Structuring of Organizations. Englewood Cliffs, NJ: Prentice Hall, 1979.
  • Mintzberg, H. Strategy formation: Schools of thought. In J.W. Frederickson (ed.) Perspectives on Strategic Management. New York: Harper Business, 1990, pp. 105-235.
  • Mohrman, S.A.; Cohen, S.G.; and Mohrman, A.M. Designing Team-Based Organizations. San Francisco: Jossey-Bass, 1995.
  • Moore, J.F., and Santomero, A.M. The industry speaks: Results of the WFIC insurance survey. In J.D. Cummins and A.M. Santomero (eds.), Changes in the Life Insurance Industry: Efficiency, Technology and Risk Management. Boston: Kluwer, 1999, pp. 19-74.
  • Nunnally, J.C. Psychometric Theory, 2d ed. New York: McGraw-Hill, 1978.
  • Porter, M.E., and Millar, V.E. How information gives you competitive advantage. Harvard Business Review, 63, 4 (1985), 149-160.
  • Powell, T.C., and Dent-Micallef, A. Information technology as competitive advantage: The role of human, business, and technology resources. Strategic Management Journal, 18, 5 (1997), 375-405.
  • Quan, J.; Hu, Q.; and Hart, P.J. Information technology investments and firms' performance—A duopoly perspective. Journal of Management Information Systems, 20, 3 (Winter 2003-2004), 121-158.
  • Rai, A.; Patnayakuni, R.; and Patnayakuni, N. Technology investment and business performance. Communications of the ACM, 40, 7 (1997), 89-97.
  • Ravichandran, T., and Lertwongsatien, C. Effect of information systems resources and capabilities on firm performance: A resource-based perspective. Journal of Management Information Systems, 21, 4 (Spring 2005), 237-276.
  • Rockart, J.F.; Earl, M.J.; and Ross, J.W. Eight imperatives for the new IT organization. Sloan Management Review, 38, 1 (1996), 43-55.
  • Sambamurthy, V.; Zmud, R.W.; and Boynton, A.C. The determinants of business unit reliance on information technologies. In J. Henderson and N. Venkatraman (eds.), Research in Strategic Management and Information Technology, vol. 1. Greenwich, CT: JAI Press, 1994, pp. 73-106.
  • Santomero, A.M. Life insurance: The state of the industry. In J.D. Cummins and A.M. Santomero (eds.), Changes in the Life Insurance Industry: Efficiency, Technology and Risk Management. Boston: Kluwer, 1999, pp. 1-18.
  • Schoonhoven, C.B. Problems with contingency theory: Testing assumptions hidden within the language of contingency theory. Administrative Science Quarterly, 26, 3 (1981), 349-377.
  • Scott, W.R. Organizations: Rational, Natural, and Open Systems, 3d ed. Englewood Cliffs, NJ: Prentice Hall, 1992.
  • Senn, J.A. The myths of strategic systems: What defines true competitive advantage? Information Systems Management, 9, 3 (1992), 7-12.
  • Sipple, E.W. When change and continuity collide: Capitalizing on strategic gridlock in financial services. California Management Review, 31, 3 (1989), 51-74.
  • Sircar, S.; Turnbow, J.L.; and Bordoloi, B. A framework for assessing the relationship between information technology investments and firm performance. Journal of Management Information Systems, 16, 4 (Spring 2000), 69-97.
  • Snell, S.A. Control theory in strategic human resource management: The mediating effect of administrative information. Academy of Management Journal, 35, 2 (1992), 292-327.
  • Stone-Romero, E.F.; Alliger, G.M.; and Aguinis, H.A. Type II error problems in the use of moderated multiple regression for the detection of moderating effects of dichotomous variables. Journal of Management, 20, 1 (1994), 167-178.
  • Tallon, P.P.; Kraemer, K.L.; and Gurbaxani, V. Executives' perceptions of the business value of information technology: A process-oriented approach. Journal of Management Information Systems, 16, 4 (Spring 2000), 145-173.
  • Thatcher, M.E., and Pingry, D.E. An economic model of product quality and IT value. Information Systems Research, 15, 3 (2004), 268-286.
  • Thatcher, M.E., and Pingry, D.E. Understanding the business value of information technology investments: Theoretical evidence from alternative market and cost structures. Journal of Management Information Systems, 21, 2 (Fall 2004), 61-85.
  • Thomas, J.B., and McDaniel, R.R., Jr. Interpreting strategic issues: Effects of strategy and the information-processing structure of top management teams. Academy of Management Journal, 33, 2 (1990), 286-306.
  • Thompson, J.D. Organizations in Action. New York: McGraw-Hill, 1967.
  • Tushman, M.T., and Nadler, D.A. Information processing as an integrating concept in organizational design. Academy of Management Review, 3, 3 (1978), 613-624.
  • Van de Ven, A.H., and Drazin, R. The concept of fit in contingency theory. In B.M. Staw and L.L. Cummings (eds.), Research in Organizational Behavior, vol. 7. Greenwich, CT: JAI Press, 1985, pp. 333-365.
  • Venkatraman, N. The concept of fit in strategy research: Toward verbal and statistical correspondence. Academy of Management Review, 14, 3 (1989), 423-444.
  • Walton, R.E. Up and Running: Integrating Information Technology and the Organization. Boston: Harvard Business School Press, 1989.
  • Weiss, M.A. Analysis of productivity at the firm level: An application to life insurers. Journal of Risk and Insurance, 53, 1 (1986), 4-84.
  • Xhabrahimi, M. Technology and life insurance distribution. KnowledgeDigest.com, September 15, 2003 (available at http://www.mib.com/kd/knowledgedigest.html
  • Zhu, J. Quantitative Models for Performance Evaluation and Benchmarking. Boston: Kluwer, 2003.
  • Zhu, K. The complementarity of information technology infrastructure and e-commerce capability: A resource-based assessment of their business value. Journal of Management Information Systems, 21, 1 (Summer 2004), 167-202.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.