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Discrepancy Theory Models of Satisfaction in IS Research

Chapter
Part of the Integrated Series in Information Systems book series (ISIS, volume 28)

Abstract

In this chapter, we present the versatility of discrepancy theory in the explanation and prediction of satisfaction in IS research models and show how to avoid many of the analytical pitfalls. First, we describe the use of discrepancy theory in other disciplines relevant to IS research. Then, we discuss satisfaction as used in IS research starting with user satisfaction followed by employee job satisfaction. In each case, we provide a brief history and show the evolution toward discrepancy models. Next comes an introduction to several common comparative models encapsulated by discrepancy theory that have been deployed in IS research. The remainder of the material in the chapter considers methodological issues and a discussion of implications for future research.

Keywords

User satisfaction Job satisfaction Expectation-confirmation theory Discrepancy theory Difference scores 

Abbreviations

ECT

Expectation confirmation theory

EDP

Electronic data processing

IS

Information systems

References

  1. Adams JS. Toward an understanding of inequity. Journal of Abnormal and Social Psychology. 1963;68:422–436.Google Scholar
  2. Adams JS. Inequity in social exchange. In: Berowitz L, editor. Advances in experimental and social psychology, vol. 2. New York: Academic Press; 1965.Google Scholar
  3. Anderson E, Fornell C, Rust R. Customer satisfaction, productivity, and profitability: Differences between goods and services. Marketing Science. 1997;16(2):129–145.Google Scholar
  4. Ang J, Soh P. User information satisfaction, job satisfaction and computer background: An exploratory study. Information Management. 1997;32(5):255.Google Scholar
  5. Argyle M, Martin M. The psychological causes of happiness. In: Argyle M, Martin M, Strack F, Argyle M, Schwarz N, editors. Subjective well-being. New York: Pergamon Press; 1991. p. 77–100.Google Scholar
  6. Au N, Ngai E, Cheng T. Extending the understanding of end user information systems satisfaction formation: An equitable needs fulfillment model approach. MIS Quarterly. 2008;32(1):43–66.Google Scholar
  7. Bailey J, Pearson S. Development of a tool for measuring and analyzing computer user satisfaction. Management Science. 1983;29(5):530–545.Google Scholar
  8. Baroudi J, Orlikowski W. A short-form measure of user information satisfaction: A psychometric evaluation and notes on use. Journal of Management Information Systems. 1988;4(4):44–59.Google Scholar
  9. Bearden W, Teel J. Selected determinants of consumer satisfaction and complaint reports. Journal of Marketing Research. 1983;20(1):21–28.Google Scholar
  10. Bergeron F, Berube C. The management of the end-user environment: An empirical investigation. Information Management. 1988;14(3):107–113.Google Scholar
  11. Bhattacherjee A. Understanding information systems continuance: An expectation-confirmation model. Management Information Systems Quarterly. 2001;25(3):351–370.Google Scholar
  12. Bhattacherjee A, Premkumar G. Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. Management Information Systems Quarterly. 2004;28(2):229–254.Google Scholar
  13. Caligiuri P, Phillips J, Lazarova M, Tarique I, Bürgi P. The theory of met expectations applied to expatriate adjustment: The role of cross-cultural training. International Journal of Human Resource Management. 2001;12(3):357–372.Google Scholar
  14. Cheung G. Introducing the latent congruence model for improving the assessment of similarity, agreement, and fit in organizational research. Organizational Research Methods. 2009;12(1):6–33.Google Scholar
  15. Cheung C, Chan G, Limayem M. A critical review of online consumer behavior: Empirical research. Journal of Electronic Commerce in Organizations. 2005;3(4):1–19.Google Scholar
  16. Chin WW, Lee MKO. A proposed model and measurement instrument for the formation of IS satisfaction: The case of end-user computing satisfaction. Proceedings of the 21st International Conference on Information Systems, Atlanta, GA; 2000. p. 553–563.Google Scholar
  17. Chiou WC, Lin CC, Perng C (2010). A strategic framework for website evaluation based on a review of the literature from 1995∼2006. Information & Management. Accessed 4 June 2010.Google Scholar
  18. Churchill Jr G, Surprenant C. An investigation into the determinants of customer satisfaction. Journal of Marketing Research. 1982;19(4):491–504.Google Scholar
  19. Cooper A, Artz K. Determinants of satisfaction for entrepreneurs. Journal of Business Venturing. 1995;10(6):439.Google Scholar
  20. Cronin Jr J, Taylor S. Measuring service quality: A reexamination and extension. Journal of Marketing. 1992;56(3):55–68.Google Scholar
  21. Cronin Jr J, Taylor S. SERVPERF versus SERVQUAL: Reconciling performance-based and ­perceptions-minus-expectations measurement of service quality. Journal of Marketing. 1994;58(1):125–131.Google Scholar
  22. Davis F. Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly. 1989;13(3):318–339.Google Scholar
  23. DeLone W, McLean E. Information systems success: The quest for the dependent variable. Information Systems Research. 1992;3(1):60–95.Google Scholar
  24. DeLone W, McLean E. The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems. 2003;19(4):9–30.Google Scholar
  25. Doll W, Torkzadeh G. The measurement of end-user computing satisfaction. Management Information Systems Quarterly. 1988;12(2):259–274.Google Scholar
  26. Edwards J. The study of congruence in organizational behavior research: Critique and a proposed alternative. Organizational Behavior and Human Decision Processes. 1994;58(1):51–100.Google Scholar
  27. Edwards J. Ten difference score myths. Organizational Research Methods. 2001;4(3):265.Google Scholar
  28. Edwards J. Latent variable modeling in congruence research. Organizational Research Methods. 2009;12(1):34–62.Google Scholar
  29. Edwards J, Cooper C. The person-environment fit approach to stress: Recurring problems and some suggested solutions. Journal of Organizational Behavior. 1990;11(4):293–307.Google Scholar
  30. Ein-Dor P, Segev E. Organizational context and MIS structure: Some empirical evidence. Management Information Systems Quarterly. 1982;6(3):55–68.Google Scholar
  31. Emmons RA, Diener E. Factors predicting satisfaction judgements: A comparative examination. Social Indicators Research. 1985;16:157–167.Google Scholar
  32. Erevelles S, Leavitt C. A comparison of current models of consumer satisfaction/dissatisfaction. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior. 1992;5(1): 104–114.Google Scholar
  33. Erevelles S, Srinivasan S, Rangel S. Consumer satisfaction for internet service providers: An analysis of underlying processes. Information Technology and Management. 2003;4(1):69–89.Google Scholar
  34. Ferratt T, Agarwal R, Brown C, Moore J. IT human resource management configurations and IT turnover: Theoretical synthesis and empirical analysis. Information Systems Research. 2005;16(3):237–255.Google Scholar
  35. Festinger L. A theory of social comparison processes. Human Relations. 1954;7:117–140.Google Scholar
  36. Fishbein M, Ajzen I. Predicting and changing behavior: The reasoned action approach. New York: Psychology Press (Taylor & Francis); 2010.Google Scholar
  37. Fornell C. A national customer satisfaction barometer: The Swedish experience. Journal of Marketing. 1992;56(1):6–21.Google Scholar
  38. Freedman J. Happy people: What happiness is, who has it, and why. New York: Harcourt; 1978.Google Scholar
  39. Gallagher C. Perceptions of the value of a management information system. Academy of Management Journal. 1974;17(1):46–55.Google Scholar
  40. Galup S, Saunders C, Nelson R, Cerveny R. The use of temporary staff and managers in a local government environment. Communication Research. 1997;24(6):698–730.Google Scholar
  41. Giese JL, Cote JA (2000). Defining consumer satisfaction. Academy of Marketing Science Review. http://www.amsreview.org/articles/giese01-2000.pdf. Accessed 28 April 2008.
  42. Greenhaus J, Parasuraman S, Wormley W. Effects of race on organizational experience, job performance evaluations, and career outcomes. Academy of Management Journal. 1990;33(1):64–86.Google Scholar
  43. Griffith T, Northcraft G. Cognitive elements in the implementation of new technology: Can less information provide more benefits? Management Information Systems Quarterly. 1996;20(1):99–110.Google Scholar
  44. Guimaraes T, Igbaria M. Determinants of turnover intentions: Comparing IC and IS personnel. Information Systems Research. 1992;3(3):273–303.Google Scholar
  45. Gutman J. A means-end chain model based on consumer categorization processes. Journal of Marketing. 1982;46(2):60–72.Google Scholar
  46. Hackman J, Oldham G. Development of the job diagnostic survey. Journal of Applied Psychology. April 1975;60(2):159–170.Google Scholar
  47. Hackman JR, Oldham GR. Work design. Reading, MA: Addison-Wesley; 1980.Google Scholar
  48. Halstead D, Hartman D, Schmidt SL. Multisource effects on the satisfaction formation process. Journal of the Academy of Marketing Science. 1994;22(2):114–129.Google Scholar
  49. Hamilton S, Chervany N. Evaluating information system effectiveness – part I: Comparing ­evaluation approaches. Management Information Systems Quarterly. 1981a;5(3):55–69.Google Scholar
  50. Hamilton S, Chervany N. Evaluating information system effectiveness – part II: Comparing ­evaluator viewpoints. Management Information Systems Quarterly. 1981b;5(4):79–86.Google Scholar
  51. Henry JW, Stone RW. A structural equation model of end-user satisfaction with a computer-based medical information system. Information Resources Management Journal. 1994;7(3):21–33.Google Scholar
  52. Huang T, Fong-Ling F. Understanding user interface needs of e-commerce web sites. Behaviour & Information Technology. 2009;28(5):461–469.Google Scholar
  53. Igbaria M, Baroudi J. A short-form measure of career orientations: A psychometric evaluation. Journal of Management Information Systems. 1993;10(2):131–154.Google Scholar
  54. Igbaria M, Nachman SA. Correlates of user satisfaction with end user computing: An exploratory study. Information Management. 1990;19(2):73–82.Google Scholar
  55. Igbaria M, Parasuraman S, Badawy M. Work experiences, job involvement, and quality of work life among information systems personnel. Management Information Systems Quarterly. 1994;18(2):175–201.Google Scholar
  56. Irving P, Meyer J. Reexamination of the met-expectations hypothesis: A longitudinal analysis. The Journal of Applied Psychology. 1994;79(6):937–949.Google Scholar
  57. Irving P, Meyer J. On using residual difference scores in the measurement of congruence: The case of met expectations research. Personnel Psychology. 1999;52(1):85–95.Google Scholar
  58. Ives B, Olson M, Baroudi J. The measurement of user information satisfaction. Communications of the ACM. 1983;26(10):785–793.Google Scholar
  59. Janssen O. Fairness perceptions as a moderator in the curvilinear relationships between job demands, and job performance and job satisfaction. Academy of Management Journal. 2001;44(5):1039–1050.Google Scholar
  60. Jiang J, Klein G. Supervisor support and career anchor impact on the career satisfaction of the entry-level information systems professional. Journal of Management Information Systems. 1999–2000;16(3):219–240.Google Scholar
  61. Jiang J, Klein G. A discrepancy model of information system personnel turnover. Journal of Management Information Systems. 2002;19(2):249–272.Google Scholar
  62. Jiang JJ, Klein G. Expectation-confirmation theory: Capitalizing on descriptive power. In: Dwivedi YK, Lal B, Williams MD, Schneberger SL, Wade M, editors. Contemporary theoretical models in information systems. Hershey: Information Science Reference; 2009. p. 384–401.Google Scholar
  63. Jiang J, Klein G, Balloun J. The joint impact of internal and external career anchors on entry-level IS career satisfaction. Information Management. 2001;39(1):31.Google Scholar
  64. Joseph D, Ng KY, Koh C, Soon A. Turnover of information technology professionals: A narrative review, meta-analytic structural equation modeling, and model development. Management Information Systems Quarterly. 2007;31(3):547–577.Google Scholar
  65. Joshi K, Rai A. Impact of the quality of information products on information system users’ job satisfaction: An empirical investigation. Information Systems Journal. 2000;10(4):323–345.Google Scholar
  66. Jun S, Hyun YJ, Gentry JW, Song C-S. The relative influence of affective experience on consumer satisfaction under positive versus negative discrepancies. Journal of Consumer Satisfaction, Dissatisfaction, and Complaining Behavior. 2001;14:141–153.Google Scholar
  67. Kahneman D, Tversky A. Prospect theory: An analysis of decision under risk. Econometrica. 1979;47(2):263–291.Google Scholar
  68. Karimi J, Somers T, Gupta Y. Impact of environmental uncertainty and task characteristics on user satisfaction with data. Information Systems Research. 2004;15(2):175–193.Google Scholar
  69. Kettinger W, Lee C. Zones of tolerance: Alternative scales for measuring information systems service quality. Management Information Systems Quarterly. 2005;29(4):607–623.Google Scholar
  70. Kettinger W, Choong C, Lee W. Perceived service quality and user satisfaction with the information services function. Decision Sciences. 1994;25(5/6):737–766.Google Scholar
  71. Khuri AI, Cornell JA. Response surfaces: Design and analysis. New York: Marcel Dekker; 1987.Google Scholar
  72. King WR, Epstein BJ. Assessing IS value. Decision Sciences. 1983;14:34–45.Google Scholar
  73. King J, Schrems E. Cost–benefit analysis in information systems development and operation. ACM Computing Surveys. 1978;10(1):19–34.Google Scholar
  74. King W, Lahiff J, Hatfield J. A discrepancy theory of the relationship between communication and job satisfaction. Communication Research Reports. 1988;5(1):36–43.Google Scholar
  75. Klein G, Jiang J, Cheney P. Resolving difference score issues in information systems research. Management Information Systems Quarterly. 2009;33(4):811–826.Google Scholar
  76. Larker DF, Lessig VP. Perceived usefulness of information: A psychometric examination. Decision Sciences. 1980;11:121–134.Google Scholar
  77. Lawler EE. Pay and organizational effectiveness: A psychological view. New York: McGraw-Hill; 1971.Google Scholar
  78. Lee M, Pow J. Information access behaviour and expectation of quality: Two factors affecting the satisfaction. Journal of Information Science. 1996;22(3):171.Google Scholar
  79. Lin C, Wu S, Tsai R. Integrating perceived playfulness into expectation-confirmation model for web portal context. Information Management. 2005;42(5):683–693.Google Scholar
  80. Lindsay C, Marks E, Gorlow L. The Herzberg theory: A critique and reformulation. The Journal of Applied Psychology. 1967;51(4):330–339.Google Scholar
  81. Locke E. What is job satisfaction? Organizational Behavior and Human Performance. 1969;4(4):309–336.Google Scholar
  82. Locke EA. The nature and causes of job satisfaction. In: Dunnette MD, editor. Handbook of industrial and organizational psychology. Chicago: Rand McNally; 1976. p. 1297–1349.Google Scholar
  83. Lucas J. Measuring employee reactions to computer operations. Sloan Management Review. 1974;15(3):59–67.Google Scholar
  84. Marsden P. A note on block variables in multiequation models. Social Science Research. 1982;11(2):127–140.Google Scholar
  85. Maslow A. A theory of human motivation. Psychological Review. 1943;50(4):370–396.Google Scholar
  86. McGill T, Klobas J. User developed application success: Sources and effects of involvement. Behaviour & Information Technology. 2008;27(5):407–422.Google Scholar
  87. McKinney V, Kanghyun Y, Zahedi F. The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information Systems Research. 2002;13(3):296–315.Google Scholar
  88. McKnight DH. Motivating critical computer systems operators: Job characteristics, controls, and relationships. Unpublished doctoral dissertation, Minneapolis: University of Minnesota; 1997.Google Scholar
  89. Merriam-Webster’s Online Dictionary (2010). http://www.merriam-webster.com/netdict/satisfaction. Accessed 21 June 2020.
  90. Michalos AC. Multiple discrepancies theory (MDT). Social Indicators Research. 1985;16(4):347–413.Google Scholar
  91. Morris M, Venkatesh V. Job characteristics and job satisfaction: Understanding the role of enterprise resource planning system implementation. Management Information Systems Quarterly. 2010;34(1):143–161.Google Scholar
  92. Morrison D, Cordery J, Girardi A, Payne R. Job design, opportunities for skill utilization, and intrinsic job satisfaction. European Journal of Work & Organizational Psychology. 2005;14(1):59–79.Google Scholar
  93. Nadkarni S, Gupta R. A task-based model of perceived website complexity. Management Information Systems Quarterly. 2007;31(3):501–524.Google Scholar
  94. Negash S, Ryan T, Igbaria M. Quality and effectiveness in Web-based customer support systems. Information Management. 2003;40(8):757.Google Scholar
  95. Nevo D, Wade M. How to avoid disappointment by design. Communications of the ACM. 2007;50(4):43–48.Google Scholar
  96. Niedrich R, Kiryanova E, Black W. The dimensional stability of the standards used in the disconfirmation paradigm. Journal of Retailing. 2005;81(1):49–57.Google Scholar
  97. O’Reilly III C. Variations in decision makers’ use of information sources: The impact of quality and accessibility of information. Academy of Management Journal. 1982;25(4):756–771.Google Scholar
  98. Oliver R. Measurement and evaluation of satisfaction processes in retail settings. Journal of Retailing. 1981;57(3):25.Google Scholar
  99. Olshavsky R, Miller J. Consumer expectations, product performance, and perceived product ­quality. Journal of Marketing Research. 1972;9(1):19–21.Google Scholar
  100. Palvia P, Palvia S. An examination of the IT satisfaction of small-business users. Information Management. 1999;35(3):127.Google Scholar
  101. Parasuraman A, Zeithaml V, Berry L. A conceptual model of service quality and its implications for future research. Journal of Marketing. 1985;49(4):41–50.Google Scholar
  102. Peter J, Churchill Jr G, Brown T. Caution in the use of difference scores in consumer research. Journal of Consumer Research. 1993;19(4):655–662.Google Scholar
  103. Porter L. A study of perceived need satisfactions in bottom and middle management jobs. The Journal of Applied Psychology. 1961;45(1):1–10.Google Scholar
  104. Porter LW, Lawler III EE. Managerial attitudes and performance. Homewood, IL: Richard D. Irwin; 1968.Google Scholar
  105. Ragu-Nathan T, Tarafdar M, Ragu-Nathan B, Qiang T. The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research. 2008;19(4):417–433.Google Scholar
  106. Rice R, McFarlin D, Bennett D. Standards of comparison and job satisfaction. The Journal of Applied Psychology. 1989;74(4):591–598.Google Scholar
  107. Robey D. User attitudes and management information system use. Academy of Management Journal. 1979;22(3):527–538.Google Scholar
  108. Rong G, Grover V. Keeping up-to-date with information technology: Testing a model of technological knowledge renewal effectiveness for IT professionals. Information Management. 2009;46(7):376–387.Google Scholar
  109. Rushinek A, Rushinek S. Performance monitoring tools for computer systems: Hardware, ­software, firmware and hybrid controls. Computers & Industrial Engineering. 1985;9(4):419.Google Scholar
  110. Ruth C, Weidong K, James X, Campbell Q, Vikram S. Socialization and organizational outcomes of information technology professionals. Career Development International. 2005;10(1):26–51.Google Scholar
  111. Rutner P, Hardgrave B, McKnight D. Emotional dissonance and the information technology ­professional. Management Information Systems Quarterly. 2008;32(3):635–652.Google Scholar
  112. Saunders C, Jones J. Measuring performance of the information systems function. Journal of Management Information Systems. 1992;8(4):63–82.Google Scholar
  113. Schaupp L. Web site success: Antecedents of web site satisfaction and re-use. Journal of Internet Commerce. 2010;9(1):42–64.Google Scholar
  114. Schein EH. Career dynamics: Matching individual and organizational needs. Boston: Addision-Wesley; 1978.Google Scholar
  115. Schewe C. The management information system user: An exploratory behavioral analysis. Academy of Management Journal. 1976;19(4):577–590.Google Scholar
  116. Schultz RL, Slevin DP. Implementation and management innovations. In: Schultz RL, Slevin DP, editors. Implementing operations research/management science. New York: American Elsevier; 1975. p. 153–182.Google Scholar
  117. Sethi V, King R. An application of the cusp catastrophe model to user information satisfaction. Information Management. 1998;34(1):41.Google Scholar
  118. Shapiro H, Wahba M. Pay satisfaction: An empirical test of a discrepancy model. Management Science. 1978;24(6):612–622.Google Scholar
  119. Smith PC, Kendall L, Hulin CL. The measurement of satisfaction in work and retirement. Rand McNally, Chicago. IL; 1969.Google Scholar
  120. Spector P. Higher-order need strength as a moderator of the job scope-employee outcome relationship: A meta-analysis. Journal of Occupational Psychology. June 1985;58(2):119–127.Google Scholar
  121. Spreng R, MacKenzie S, Olshavsky R. A reexamination of the determinants of consumer satisfaction. Journal of Marketing. 1996;60(3):15.Google Scholar
  122. Straub D. Validating instruments in MIS research. Management Information Systems Quarterly. 1989;13(2):147–169.Google Scholar
  123. Suh K, Kim S, Lee J. End-user’s disconfirmed expectations and the success of information ­systems. Information Resources Management Journal. 1994;7(4):31–39.Google Scholar
  124. Swan J, Trawick I, Carroll M. Effect of participation in marketing research on consumer attitudes toward research and satisfaction with a service. Journal of Marketing Research. 1981;18(3):356–363.Google Scholar
  125. Swanson E. Management information systems: Appreciation and involvement. Management Science. 1974;21(2):178–188.Google Scholar
  126. Szymanski D, Henard D. Customer satisfaction: A meta-analysis of the empirical evidence. Journal of the Academy of Marketing Science. 2001;29(1):16–35.Google Scholar
  127. Teas RK. Consumer expectations and the measurement of perceived service quality. Journal of Professional Services Marketing. 1993;8(2):33–54.Google Scholar
  128. Tesch D, Jiang J, Klein G. The impact of information system personnel skill discrepancies on stakeholder satisfaction. Decision Sciences. 2003;34(1):107–129.Google Scholar
  129. Tse D, Wilton P. Models of consumer satisfaction formation: An extension. Journal of Marketing Research. 1988;25(2):204–212.Google Scholar
  130. van Dyke T, Prybutok V, Kappelman L. Cautions on the use of the SERVQUAL measure to assess the quality of information systems services. Decision Sciences. 1999;30(3):877–891.Google Scholar
  131. Venkatesh V, Davis F. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science. 2000;46(2):186.Google Scholar
  132. Walster E, Bersheid E, Walster GW. New directions in equity research. In: Berkowitz L, Walster E, editors. Advances in experimental social psychology. New York: Academic; 1976. p. 1–42.Google Scholar
  133. Wang YS, Tang TI, Tang JT. An instrument for measuring customer satisfaction toward web sites that market digital products and services. Journal of Electronic Commerce Research. 2001;2(3):89–102.Google Scholar
  134. Wang Y, Wang H, Shee D. Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior. 2007;23(4):1792–1808.Google Scholar
  135. Wanous J, Lawler III E. Measurement and meaning of job satisfaction. The Journal of Applied Psychology. 1972;56(2):95–105.Google Scholar
  136. Wanous J, Poland T, Premack S, Davis K. The effects of met expectations on newcomer attitudes and behaviors: A review and meta-analysis. The Journal of Applied Psychology. 1992;77(3):288–297.Google Scholar
  137. Warr P. A conceptual framework for the study of work and mental health. Work & Stress. 1994;8(2):84–97.Google Scholar
  138. Watson R, Pitt L, Nel D. User satisfaction and services quality of the IS department: Closing the gaps. Journal of Information Technology. 1993;8(4):257.Google Scholar
  139. Wixom B, Todd P. A theoretical integration of user satisfaction and technology acceptance. Information Systems Research. 2005;16(1):85–102.Google Scholar
  140. Woodruff R, Cadotte E, Jenkins R. Modeling consumer satisfaction processes using experience-based norms. Journal of Marketing Research. 1983;20(3):296–304.Google Scholar
  141. Zeithaml VA, Bitner MJ. Service marketing, integrating customer focus across the firm (2e). Boston: Irwin/McGraw-Hill; 2000.Google Scholar
  142. Zhang Z. Feeling the sense of community in social networking usage. IEEE Transactions on Engineering Management. 2010;57(2):225–239.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.College of Business and AdministrationThe University of Colorado at Colorado SpringsColorado SpringsUSA

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