Michael J. Gallivan
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Abstract
This paper explores the applicability of traditional innovation adoption and diffusion models to contingent, authority innovation processes occurring within an organizational context (Zaltman, Duncan & Holbeck, 1973); that is, when employees in organizations adopt an innovation that has been chosen by an authority figure. This paper identifies existing gaps in traditional innovation adoption models and concludes that a new framework is required --- one that incorporates the unique processes and factors related to organizational adoption and assimilation of innovations. A new hybrid theoretical framework is developed which combines insights from organizational-level research on technology implementation (Cooper & Zmud, 1990; Orlikowski, 1993) with constructs from traditional innovation adoption models (Rogers, 1983; Prescott & Conger, 1995). The resulting theory is a hybrid process/variance theory, which captures both implementation events and the factors that influence them (Shaw & Jarvenpaa, 1997). Data from a longitudinal case study of a firm that implemented client/server development are used to illustrate the framework and to develop propositions for future research.
- Adams, D. L., Nelson, R. R., and Todd, P. A. (1992). "Perceived Usefulness, Ease of Use and Usage of Information Technology: A Replication," MIS Quarterly, Vol. 16, No. 2, pp. 227-247.]] Google Scholar
Digital Library
- Agarwal, R. (2000). "Individual Acceptance of Information Technologies," in R. W. Zmud (Ed.), Framing The Domains of IT Management: Projecting the Future Through the Past, Cincinnati, OH: Pinnaflex Press, pp. 85-104.]]Google Scholar
- Agarwal, R., and Prasad, J. (1998). "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, Vol. 9, No. 2, pp. 204-215.]] Google ScholarDigital Library
- Agarwal, R., and Prasad, J. (1997). "The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies," Decision Science, Vol. 28, No. 3, pp. 557-582.]]Google ScholarCross Ref
- Agarwal, R., Tanniru, M., and Wilemon, D. (1997). "Assimilating Information Technology Innovations: Strategies and Moderating Influences," IEEE Transactions on Engineering Management, Vol. 44, No. 4, pp. 347-358.]]Google ScholarCross Ref
- Ajzen, I. (1985). "From Intentions to Action: A Theory of Planned Behavior," in J. Kuhl and J. Beckmann (Eds). Action Control: From Cognition to Behavior, New York: Springer-Verlag, pp. 11-39.]]Google Scholar
- Ajzen, I., and Fishbein, M. (1980). Understanding Attitudes and Predicting Behavior, Englewood Cliffs, NJ: Prentice-Hall.]]Google Scholar
- Ball, L. D., Dambolena, I. G., and Hennessey, H. D. (1987). "Identifying Early Adopters of Large Software Systems, DATA BASE, Vol. 18, pp. 21-27.]] Google ScholarDigital Library
- Baskerville, R. (1996). "Deferring Generalizability: Four Classes of Generalization in Social Enquiry," Scandinavian Journal of Information Systems, Vol. 8, No. 2, pp. 5-28.]] Google ScholarDigital Library
- Baskerville, R., and Lee, A. S. (1999). "Distinctions among Different Types of Generalizing in Information Systems Research," in O. Ngwenyama, L. D. Introna, M. D. Myers and J. I. DeGross, (Eds.), New Information Technologies in Organizational Processes: Field Studies and Theoretical Reflections on the Future of Work, Boston, MA: Kluwer Academic Publishers.]] Google ScholarDigital Library
- Bingham, R. D., and Fredreis, J. P. (1978). "Innovation Characteristics and the Adoption of Zero-base Budgeting: Agreement and Conflict in City Administration," paper presented at the Midwest Political Science Association, Chicago, IL.]]Google Scholar
- Brancheau, J. C., and Wetherbe, J. C. (1990). "The Adoption of Spread-sheet Software: Testing Innovation Diffusion Theory in the Context of End-User Computing," Information Systems Research, Vol. 1, No. 2, pp. 115-143.]]Google ScholarDigital Library
- Chengalur-Smith, I. S., and Duchessi, P. (1998). "Client/Server Benefits, Problems, Best Practices," Communications of the ACM, Vol. 41, No. 5, pp. 87-94.]] Google ScholarDigital Library
- Chengalur-Smith, I. S., and Duchessi, P. (1999). "The Initiation and Adoption of Client-Server Technology in Organizations," Information & Management, Vol. 35, No. 2, pp. 77-88.]] Google ScholarDigital Library
- Cohen, W. M., and Levinthal, D. A. (1990). "Absorptive Capacity: A New Perspective on Learning and Innovation," Administrative Science Quarterly, Vol. 35, pp. 128-152.]]Google ScholarCross Ref
- Compeau, D. R., and Higgins, C. A. (1995). "Application of Social Cognitive Theory to Training for Computer Skills," Information Systems Research, Vol. 6, No. 2, pp. 118-143.]]Google ScholarDigital Library
- Conner, D. R. (1992). Managing at the Speed of Change, New York, NY: Villard Books.]]Google Scholar
- Conner, D. R. (1998). Leading at the Edge of Chaos: How to Create the Nimble Organization, New York, NY: John Wiley & Sons.]]Google Scholar
- Cooper, R. B., and Zmud, R. W. (1990). "Information Technology Implementation Research: A Technological Diffusion Approach," Management Science, Vol. 36, pp. 123-139.]] Google ScholarCross Ref
- Davis, F. D. (1989). "Perceived Usefulness, Perceived Ease-of-Use and User Acceptance of Information Technology," MIS Quarterly, Vol. 13, No. 3, pp. 319-339.]]Google ScholarDigital Library
- Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989). "User Acceptance of Computer Technology: Comparison of Two Theoretical Models," Management Science, Vol. 35, No. 8, pp. 982-1003.]] Google ScholarDigital Library
- DeLone, W., and McClean, E. R. (1992). "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, Vol. 3, No. 1, pp. 60-95.]]Google ScholarDigital Library
- Downs, G. W., and Mohr, L. B. (1976). "Conceptual Issues in the Study of Innovation," Administrative Science Quarterly, Vol. 21, pp. 700-714.]]Google ScholarCross Ref
- Ettlie, J., Bridges, W., and O'Keefe, R. (1984). "Organizational Strategy and Structural Differences for Radical versus Incremental Innovation," Management Science, Vol. 30, No. 6, pp. 682-695.]]Google ScholarDigital Library
- Fichman, R. G. (1992). "Information Technology Diffusion: A Review of Empirical Research," in J. I. DeGross, J. D. Becker, and J. J. Elam (Eds.), Proceedings of the 13th International on Information Systems, Dallas, TX, pp. 195-206.]] Google ScholarDigital Library
- Fichman, R. G. (1999). "The Measurement of IT-Related Organizational Innovation," working paper, Boston College, Carroll School of Management, Boston, MA.]]Google Scholar
- Fichman, R. G. (2000). "The Diffusion and Assimilation of Information Technology Innovations," in R. W. Zmud (Ed.), Framing The Domains of IT Management: Projecting the Future Through the Past, Cincinnati, OH: Pinnaflex Press, pp. 105-128.]]Google Scholar
- Fichman, R. G., and Kemerer, C. F. (1994). "Toward A Theory of the Adoption and Diffusion of Software Process Innovations," Proceedings of the International Federation of Information Processing Working Group, Vol. 8, No. 6, pp. 23-30.]] Google ScholarDigital Library
- Fichman, R. G., and Kemerer, C. F. (1997). "The Assimilation of Software Process Innovations: An Organizational Learning Perspective," Management Science, Vol. 43, No. 10, pp. 1345-1363.]]Google ScholarCross Ref
- Fichman, R. G., and Kemerer, C. F. (1999). "The Illusory Diffusion of Innovations: An Examination of Assimilation Gaps," Information Systems Research, Vol. 10, No. 3, pp. 255-275.]] Google ScholarDigital Library
- Gallivan, M. J. (1994). "Changes in the Management of the IS Function: An Exploratory Study," in J. Ross (Ed.), 1994 Proceedings of the ACM Special Interest Group on Computer Personnel Research, Alexandria, VA. New York: ACM Press, pp. 65-77.]] Google ScholarDigital Library
- Gallivan, M. J. (1995). "Reskilling IS Professionals: Individual and Organizational Adaptation to Software Process Innovations," in L. Olfman (ed.) Proceedings of the 1995 ACM Special Interest Group on Computer Personnel Research, Nashville, TN, New York: ACM Press, 103-116.]] Google ScholarDigital Library
- Gallivan, M. J. (1996a). "Contradictions among Stakeholder Assessments of a Radical Change Initiative: A Cognitive Frames Analysis," in W. J. Orlikowski, G. Walsham, M. Jones, and J. I. DeGross, (Eds.) Information Technology and Changes in Organizational Work, Proceedings of the IFIP 8.2 Working Group Conference. New York: Chapman & Hall, pp. 107-130.]]Google Scholar
- Gallivan, M. J. (1996b). "Strategies for Implementing Software Process Innovations: Evaluation of a Contingency Framework," Proceedings of the 1996 ACM Special Interest Group on Computer Personnel Research, Denver, CO. New York: ACM Press, pp. 313-325.]] Google ScholarDigital Library
- Gallivan, M. J. (1997). Reskilling IS Professionals: Individual and Organizational Adaptation to Software Process Innovations, Unpublished Ph.D. Dissertation, M.I.T. Sloan School of Management, Cambridge, MA.]] Google ScholarDigital Library
- Gallivan, M. J. (1998a). "The Influence of System Developers' Innovativeness on their Attitudes to and Assimilation of Software Process Innovations," Hawaii International Conference on System Science (HICSS), Creativity & Innovation Mini-Track, Organizational Systems and Technology track, January, Vol. VI, pp. 435-444.]] Google ScholarDigital Library
- Gallivan, M. J. (1998b). "The Importance of Organizational Culture Fit: A Technology Implementation Success Story," Failure and Lessons Learned in Information Technology Management, Vol. 1, pp. 243-257.]]Google ScholarCross Ref
- Gallivan, M. J. (2001). "Meaning to Change: How Diverse Stakeholders Interpret Organizational Communication about Change Initiatives," forthcoming in IEEE Transactions on Professional Communication.]]Google Scholar
- Gatignon, H., and Robertson, T. S. (1989). "Technology Diffusion: An Empirical Test of Competitive Effects," Journal of Marketing, Vol. 53, No. 1, pp. 35-49.]]Google ScholarCross Ref
- Grover, V., and Goslar, M. D. (1993). "The Initiation, Adoption, and Implementation of Telecommunications Technologies in U.S. Organizations," Journal of Management Information Systems, Vol. 10, No. 1, pp. 141-163.]] Google ScholarDigital Library
- Gurbaxani, V. (1990). "Diffusion in Computing Networks: The Case of BITNET," Communications of the ACM, Vol. 33, pp. 65-75.]] Google ScholarDigital Library
- Gurbaxani, V., and Mendelson, H. (1990). "An Integrative Model of Information Systems Spending Growth," Information Systems Research, Vol. 1, No. 1, pp. 23-47.]]Google ScholarDigital Library
- Henderson, J. C., and Lentz, C. M. (1996). "Learning, Working, and Innovation: A Case Study in the Gurbaxani, V. (1990) Insurance Industry," Journal of Management Information Systems, Vol. 12, No. 3, pp. 43-64.]] Google ScholarDigital Library
- Huff, S., and Munro, M. M. (1989). "Managing Micro Proliferation," Journal of Information Systems Management, pp. 72-75.]]Google ScholarCross Ref
- Karahanna, E., Straub, D. W., and Chervany, N. L. (1999). "Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs," MIS Quarterly, Vol. 23, No. 2, pp. 183-213.]] Google ScholarDigital Library
- Karahanna, E., and Agarwal, R. (2000). "Time Flies When You're Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage," MIS Quarterly, Vol. 24, No. 4, pp. 665-694.]]Google ScholarDigital Library
- Keil, M., Cule, P. E., Lyytinen, K., and Schmidt, R. C. (1998). "A Framework for Identifying Software Project Risks," Communications of the ACM, Vol. 41, No. 11, pp. 76-83.]] Google ScholarDigital Library
- Klein, H. K., and Myers, M. D. (1999). "A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems," MIS Quarterly, Vol. 23, No. 1, pp. 67-93.]] Google ScholarDigital Library
- Kwon, T. H. & Zmud, R. W. (1987). "Unifying the Fragmented Models of Information Systems Implementation," in R. J. Boland and R. A. Hirschheim (Eds.), Critical Issues in Information Systems Research, New York: Wiley & Sons, pp. 227-251.]] Google ScholarDigital Library
- Leonard Barton, D. (1987). "Implementing Structured Software Methodologies: A Case of Innovation in Process Technology," Interfaces, Vol. 17, pp. 6-17.]]Google ScholarDigital Library
- Leonard Barton, D. (1998a). "Implementation Characteristics of Organizational Innovations: Limits & Opportunities for Management Strategies," Communications Research, Vol. 15, No. 5, pp. 603-631.]]Google ScholarCross Ref
- Leonard Barton, D. (1988b). "Implementation as Mutual Adaptation of Technology and Organization," Research Policy, Vol. 17, No. 5, pp. 251-267.]]Google ScholarCross Ref
- Leonard Barton, D., and Deschamps, I. (1998). "Managerial Influence in the Implementation of New Technology," Management Science, Vol. 14, pp. 1252-1265.]]Google Scholar
- Liberatore, M. J., and Breem, D. (1997). "Adoption and Implementation of Digital-Imaging Technology in the Banking and Insurance Industry," IEEE Transactions on Engineering Management, Vol. 44, No. 4, pp. 367-377.]]Google ScholarCross Ref
- Lucas, H. C., Ginzberg, M. J., and Schultz, R. L. (1990). Information Systems Implementation: Testing a Structural Model, Norwood, NJ: Ablex Press.]] Google ScholarDigital Library
- MacDonald, A. H. (1970). "A Revised Scale for Tolerance of Ambiguity," Psychological Reports.]]Google Scholar
- Markus, M. L. (1981). "Implementation Politics: Top Management Support and User Involvement," Systems, Objectives, Solutions, pp. 203-215.]]Google Scholar
- Markus, M. L. (1983). "Power, Politics and MIS Implementation," Communications of the ACM, Vol. 26, No. 6, pp. 430-444.]] Google ScholarDigital Library
- Markus, M. L. (1987). "Toward a 'Critical Mass' Theory of Interactive Media: Universal Access, Interdependence and Diffusion," Communications Research, Vol. 14, pp. 491-511.]]Google ScholarCross Ref
- Markus, M. L., and Robey, D. (1988). "Information Technology and Organizational Change: Causal Structure in Theory and Research," Management Science, Vol. 34, No. 5, pp. 583-598.]] Google ScholarCross Ref
- Mathieson, K. (1991). "Predicting User Intentions: Comparing the Technology Acceptance Model with Theory of Planned Behavior," Information Systems Research, Vol. 2, No. 3, pp. 173-191.]]Google ScholarDigital Library
- Miles, M. B., and Huberman, A. M. (1994). Qualitative Data Analysis: An Expanded Sourcebook, Newbury Park, Sage Press.]]Google Scholar
- Mohr, L. B. (1982). Explaining Organizational Behavior, San Francisco, CA: Jossey-Bass.]]Google Scholar
- Moore, G. C., and Benbasat, I. (1991). "Development of an Instrument to Measure the Perceptions of Adapting an Information Technology Innovation," Information Systems Research, Vol. 2, No. 3, pp. 192-222.]]Google ScholarDigital Library
- Nambisan, S., Agarwal, R., and Tanniru, M. (1999). "Organizing Mechanisms for Enhancing User Innovation in Information Technology," MIS Quarterly, Vol. 23, No. 3.]] Google ScholarDigital Library
- Newman, M., and Robey, D. (1992). "A Social-Process Model of User-Analyst Relationships," MIS Quarterly, Vol. 16, No. 2, pp. 249-265.]] Google ScholarDigital Library
- Nilakanta, S., and Scamell, R. W. (1990). "The Effect of Information Sources and Communication Channels on the Diffusion of an Innovation in a Data Base Environment." Management Science, Vol. 36, No. 1, pp. 24-40.]]Google ScholarDigital Library
- Orlikowski, W. J. (1993). "CASE Tools as Organizational Change: Investigating Incremental and Radical Changes in Systems Development," MIS Quarterly, Vol. 17. No. 3, pp. 309-340.]]Google ScholarDigital Library
- Orlikowski, W. J. (1992). "Learning from Notes: Organizational Issues in Groupware Implementation," in J. Turner and R. Kraut (Eds.), Proceedings of the Conference on Computer-Supported Cooperative Work (CSCW), Toronto, CA., pp. 362-369.]] Google ScholarDigital Library
- Orlikowski, W. J., and Baroudi, J. J. (1991). "Studying Information Technology in Organizations: Research Approaches and Assumptions," Information Systems Research, Vol. 2, pp. 1-28.]]Google ScholarDigital Library
- Orlikowski, W. J., and Hofman, J. D. (1997). "An Improvisational Approach to Change Management," Sloan Management Review, Vol. 38, No. 2.]]Google Scholar
- Orlikowski, W. J., and Robey, D. (1991). "Information Technology and the Structuring of Organizations," Information Systems Research, Vol. 2, No. 2, pp. 1453-169.]]Google ScholarDigital Library
- Orlikowski, W. J., and Yates, J. (1994). "Genre Repertoire: Structuring of Communicative Practices in Organizations," Administrative Science Quarterly, Vol. 39, No. 4, pp. 541-574.]]Google ScholarCross Ref
- Pierce, J. L., and Delbecq, A. L. (1977). "Organizational Structure, Individual Attitudes, And Innovation." Academy of Management Review, Vol. 2, No. 1, pp. 23-37.]]Google ScholarCross Ref
- Poole, M. S., and DeSanctis, G. (1992). "Micro-level Structuration in Computer-Supported Group Decision-Making," Human Communication Research, Vol. 19, No. 1, pp. 4-49.]]Google Scholar
- Premkumar, G., and Nilakanta, S. (1994). "Implementation of Electronic Data Interchange: An Innovation Diffusion Perspective," Journal of Management Information Systems, Vol. 11, No. 2, pp. 157-186.]] Google ScholarDigital Library
- Prescott, M. B., and Conger, S. A. (1995). "Information Technology Innovations: A Classification by IT Locus of Impact and Research Approach," The DATA BASE for Advances in Information Systems, Vol. 26, Nos. 2/3, pp. 20-41.]] Google ScholarDigital Library
- Rai, A. (1995). "External Information Source and Channel Effectiveness and the Diffusion of CASE Innovations: An Empirical Study," European Journal of Information Systems, Vol. 4, No. 2, pp. 93-102.]]Google ScholarCross Ref
- Raho, L. E., Belohlav, J. A., and Fiedler, K. D. (1987). "Assimilating New Technology into the Organization: An Assessment of McFarlan and McKenney's Model," MIS Quarterly, Vol. 11, No. 1, pp. 47-57.]]Google ScholarDigital Library
- Robey, D. (1979). "User Attitudes and MIS Use, Academy of Management Journal, Vol. 22, No. 3, pp. 464-479.]]Google Scholar
- Rogers, E. M. (1995). Diffusion of Innovations, (4th Edition), New York: The Free Press.]]Google Scholar
- Rogers, E. M. (1983). Diffusion of Innovations, (3rd Edition), New York: The Free Press.]]Google Scholar
- Rogers, E. M. (1962). Diffusion of Innovations, New York: The Free Press.]]Google Scholar
- Sabherwal, R., and Robey, D. (1995). "Reconciling Variance and Process Strategies for Studying Information Systems Development," Information Systems Research, Vol. 6, No. 4, pp. 303-327.]]Google ScholarDigital Library
- Saga, V. L. (1994). "The Nature and Determinants of Information Technology : An Organizational Level of Analysis," Unpublished Ph.D. Dissertation, Florida State University, Tallahassee, FL.]]Google Scholar
- Saga, V., and Zmud, R. W. (1994). "The Nature and Determinants of IT Acceptance, Routinization and Infusion," Proceedings of the International Federation of Information Processing Working Group 8.6, pp. 67-86.]] Google ScholarDigital Library
- Sambamurthy, V., and Poole, M. S. (1992). "The Effects of Variations in Capabilities of GDSS Designs on Management of Cognitive Conflict in Groups," Information Systems Research, Vol. 3, No. 3, pp. 225-251.]]Google ScholarDigital Library
- Schultz, R. L., and Slevin, D. P. (1975). "Implementation and Organizational Validity: An Empirical Investigation," Implementing Operations Research and Management Science, New York,: American Elsevier Publishing, pp. 153-182.]]Google Scholar
- Shaw, T., and Jarvenpaa, S. L. (1997). "Process Models in Information Systems," IFIP WG8.2 Working Conference on Information Systems and Qualitative Research, May 31-June 3, Philadelphia, PA.]] Google ScholarDigital Library
- Soh, C., and Markus, M. L. (1995). "How IT Creates Business Value: A Process Theory Synthesis," in C. Kemerer, K. Kumar, and J. I. DeGross et al., (Eds.), Proceedings of the 16th International Conference on Information Systems, Amsterdam, pp. 29-41.]]Google Scholar
- Spitler, V. K., and Gallivan, M. J. (1999). "The Role of Information Technology in the Learning of Knowledge Work," in O. Ngwenyama, L. D. Introna, M. D. Myers and J. I. DeGross, New Information Technologies in Organizational Processes: Field Studies and Theoretical Reflections on the Future of Work, Boston, MA: Kluwer Acadermic Publishers.]] Google ScholarDigital Library
- Strauss, A., and Corbin, J. T. (1990). Basics of Qualitative Research: Grounded Theory, Procedures, and Techniques, Newbury Park, CA: Sage Press.]]Google Scholar
- Swanson, E. B. (1994). "Information Systems Innovation among Organizations," Management Science, Vol. 40, No. 9, pp. 1069-1084.]]Google ScholarCross Ref
- Szajna, B. (1996). "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, Vol. 42, No. 1, pp. 85-92.]]Google ScholarCross Ref
- Taylor, S., and Todd, P. A. (1995). "Understanding IT Usage: A Test of Competing Models," Information Systems Research, Vol. 6, No. 2, pp. 144-176.]]Google ScholarDigital Library
- Thompson, R. L., Higgins, C. A., and Howell, J. M. (1991). "Personal Computing: Toward a Conceptual Model of Utilization," MIS Quarterly, Vol. 15, No. 1, pp. 124-143.]] Google ScholarDigital Library
- Tornatzky, L. G., and Klein, K. J. (1982) "Innovation Characteristics and Innovation Adoption Implementation: A Meta-Analysis of Findings," IEEE Transactions on Engineering Management, Vol. EM-29, pp. 28-45.]]Google Scholar
- Triandis, H. C. (1971). Attitude and Attitude Change, New York: John Wiley and Sons.]]Google Scholar
- Triandis. H. C. (1980). "Values, Attitudes and Interpersonal Behavior," Nebraska Symposium on Motivation, Beliefs, Attitudes, and Values. Lincoln, NB, University of Nebraska Press, pp. 195-209.]]Google Scholar
- Tyre, M. J., and Orlikowski, W. J. (1994). "Windows of Opportunity: Temporal Patterns of Technological Adaptation in Organizations," Organization Science, Vol. 5, No. 1, pp. 98-118.]]Google ScholarDigital Library
- Vaskevitch, D. (1993). Client/Server Strategies: A Survival Guide for Corporate Reengineers, San Mateo, CA: IDG Books.]] Google ScholarDigital Library
- Venkatraman, N., and Ramanujarn, V. (1987). "Measurement of Business Economic Performance: An Examination of Method Convergence," Journal of Management, Vol.l 13, No. 1, pp. 109-122.]]Google Scholar
- Walsham, G. "Generalizing from Qualitative Research Studies," Workshop on Qualitative Data Analysis, in C. Kemerer, K. Kumar, and J. I. DeGross, (Eds.), Proceedings of the 16th International Conference on Information Systems, Amsterdam, Netherlands.]]Google Scholar
- Wynekoop, J. L. (1992). "Strategies for Implementation Research: Combining Research Methods," in J. I. DeGross, J. D. Becker & J. J. Elam (Eds.), Proceedings of the 13th International Conference on Information Systems, Dallas, TX: pp. 195-206.]] Google ScholarDigital Library
- Wynekoop, J. L. (1991). An Innovation Study of the Implementation of Computer-Aided Software Engineering Tools, Unpublished Ph.D. Dissertation, College of Business, Georgia State University, Atlanta, GA.]] Google ScholarDigital Library
- Yin, R. K. (1994). Case Study Research: Design and Methods, (2nd ed.), Thousand Oaks, CA: Sage Press.]]Google Scholar
- Zaltman, G., Duncan, R., and Holbeck, J.(1973). Innovations and Organizations, New York: Wiley & Sons.]]Google Scholar
- Zmud, R. W. (1984). "An Examination of Push-Pull Theory Applied to Process Innovation in Knowledge Work," Management Science, Vol. 30, pp. 727-738.]]Google ScholarDigital Library
- Zmud, R. W. (1982). "Diffusion of Modern Software Practices: Influence of Centralization and Formalization," Management Science, Vol. 28, No. 12, pp. 1421-1431.]]Google ScholarDigital Library
Index Terms
- Organizational adoption and assimilation of complex technological innovations: development and application of a new framework
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