INNOVATIONS : A CLASSIFICATION BY IT LOCUS OF IMPACT AND RESEARCH APPROACH

Research based on diffusion of innovation (DOI) theory investigates the evaluation, adoption, and implementation of innovations. Gaining understanding is difficult when tracing results on a study-by-study basis. To remove some of the barriers to comparison of results, we distinguish between innovations according to their locus of impact (IS unit, intra- or inter-organizational) and between studies according to research approach (factor or stage).A representative sample of 70 information technology (IT) related DOI research studies published by IT researchers over the last decade is evaluated using this classification scheme. From the analysis, it appears that the classification scheme may be used to provide a clearer understanding of IT innovation diffusion.Traditional DOI theory appears to be most applicable to ITs which have an intra-organizational locus of impact. ITs with an information system (IS) unit locus of impact appear to require less organizational support, and their extent of implementation appears to be related to nontraditional innovation characteristics such as functionality and efficiency. Inter-organizational locus of impact IT innovations, however, appear to be more affected by contextual and environmental variables, and their differences may be better explained by economic influence or critical mass theories.

[1]  J. Boot,et al.  Decision criteria , 1965 .

[2]  Juhani Iivari,et al.  From a Macro Innovation Theory of IS Diffusion to a Micro Innovation Theory of IS Adoption: An Application to CASE Adoption , 1993, Human, Organizational, and Social Dimensions of Information Systems Development.

[3]  Lynda M. Applegate,et al.  Technology support for cooperative work: A framework for studying introduction and assimilation in organizations , 1991 .

[4]  T. H. Kwon,et al.  Unifying the fragmented models of information systems implementation , 1987 .

[5]  Judy L. Wynekoop,et al.  Strategies for Implementation Research: Combining Research Methods , 1992, ICIS.

[6]  R. Rice,et al.  The New Media: Communication, Research, and Technology. , 1984 .

[7]  Vincent S. Lai,et al.  A model of ISDN (integrated services digital network) adoption in U.S. corporations , 1994, Inf. Manag..

[8]  Barbara M. Wildemuth A Method for Inducing Process Models from Qualitative Data. , 1990 .

[9]  M. Markus,et al.  Information technology and organizational change: causal structure in theory and research , 1988 .

[10]  Steven R. Gordon,et al.  Organizational hurdles to distributed database management systems (DDBMS) adoption , 1992, Inf. Manag..

[11]  Mathew J. Klempa Managing information technology: an integrative information technology acquisition/diffusion contingency model , 1994 .

[12]  Vijay Gurbaxani,et al.  Diffusion in computing networks: the case of BITNET , 1990, Commun. ACM.

[13]  Kenneth L. Kraemer,et al.  Institutional Factors in Information Technology Innovation , 1994, Inf. Syst. Res..

[14]  James C. Wetherbe,et al.  The Adoption of Spreadsheet Software: Testing Innovation Diffusion Theory in the Context of End-User Computing , 1990, Inf. Syst. Res..

[15]  Randolph B. Cooper,et al.  The inertial impact of culture on IT implementation , 1994, Inf. Manag..

[16]  Varun Grover,et al.  The Initiation, Adoption, and Implementation of Telecommunications Technologies in U.S. Organizations , 1993, J. Manag. Inf. Syst..

[17]  James C. Brancheau,et al.  Methodological issues in emerging technologies research: experiences and recommendations , 1992, Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences.

[18]  Ronald E. Rice,et al.  Don't hang up: Organizational diffusion of the intelligent telephone , 1986, Inf. Manag..

[19]  Vijay Mahajan,et al.  New Product Diffusion Models in Marketing: A Review and Directions for Research: , 1990 .

[20]  N. Venkatraman,et al.  Beyond business process redesign: redefining Baxter's business network. , 1992, Sloan management review.

[21]  Juhani Iivari,et al.  Implementation of in-house developed vs application package based information systems , 1990, DATB.

[22]  Robert W. Zmud,et al.  Material requirements planning system infusion , 1989 .

[23]  E. Burton Swanson,et al.  Information Centers as Organizational Innovation: Exploring the Correlates of Implementation Success , 1992, J. Manag. Inf. Syst..

[24]  Malcolm Munro,et al.  Information Technology Assessment and Adoption: A Field Study , 1985, MIS Q..

[25]  Robert G. Fichman,et al.  International Conference on Information Systems ( ICIS ) 1992 INFORMATION TECHNOLOGY DIFFUSION : A REVIEW OF EMPIRICAL RESEARCH , 2017 .

[26]  R. Zmud,et al.  Information technology implementation research: a technological diffusion approach , 1990 .

[27]  Mark Keil,et al.  Usefulness and ease of use: field study evidence regarding task considerations , 1995, Decis. Support Syst..

[28]  Robert W. Zmud,et al.  The Nature and Determinants of IT Acceptance, Routinization, and Infusion , 1993, Diffusion, Transfer and Implementation of Information Technology.

[29]  Nava Pliskin,et al.  Design of charging mechanisms according to the interaction between information technology type and diffusion lifecycle phase , 1991, DATB.

[30]  E. Rogers Diffusion of Innovations , 1962 .

[31]  Mary Brabston Categorizing IT Innovation by Extent of Change and Location of Impact: A Contextual Approach , 1993 .

[32]  Steven R. Gordon,et al.  Organizational determinants of distributed database management systems (DDBMS) adoption , 1991 .

[33]  Kenneth L. Kraemer,et al.  Institutions and the International Diffusion of Information Technology , 1990, ICIS.

[34]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[35]  Mathew J. Klempa Management of Information Technology Diffusion: A Meta-force Integrative Contingency Diffusion Model , 1993, Diffusion, Transfer and Implementation of Information Technology.

[36]  F. McFarlan,et al.  Corporate Information Systems Management: Issues Facing Senior Executives , 1995 .

[37]  D. Rousseau Issues of level in organizational research: Multi-level and cross-level perspectives. , 1985 .

[38]  Narayan S. Umanath,et al.  Differential Diffusion of Information Systems Technology in Multinational Enterprises: A Research Model , 1994 .

[39]  Chris F. Kemerer,et al.  Toward a Theory of the Adoption and Diffusion of Software Process Innovations , 1993, Diffusion, Transfer and Implementation of Information Technology.

[40]  Barbara M. Wildemuth,et al.  An Empirically Grounded Model of the Adoption of Intellectual Technologies , 1992, J. Am. Soc. Inf. Sci..

[41]  Steven R. Gordon,et al.  Factors that affect the adoption of distributed database management systems , 1993, SIGCPR '93.

[42]  Neil C. Ramiller,et al.  Perceived compatibility of information technology innovations among secondary adopters: Toward a reassessment , 1994 .

[43]  Richard W. Scamell,et al.  The effect of information sources and communication channels on the diffusion of innovation in a data base development environment , 1990 .

[44]  S. A. Conger An innovation theory of end-user computing , 1992 .

[45]  Soon Ang,et al.  The Adoption of TradeNet by the Trading Community: An Empirical Analysis , 1994, ICIS.

[46]  Lyne Bouchard,et al.  Decision Criteria in the Adoption of EDI , 1993, ICIS.

[47]  Vijay Gurbaxani,et al.  An Integrative Model of Information Systems Spending Growth , 1990, Inf. Syst. Res..

[48]  Edward G. Cale,et al.  Factors affecting the implementation outcome of a mainframe software package: A longitudinal study , 1994, Inf. Manag..

[49]  V. Grover An Empirically Derived Model for the Adoption of Customer‐based Interorganizational Systems* , 1993 .

[50]  Mathew J. Klempa Management of information technology innovation: a heuristic contingency paradigm research perspective , 1993, SIGCPR '93.

[51]  B. Kaplan The Influence of Medical Values and Practices on Medical Computer Applications , 1982 .

[52]  Lawrence Loh,et al.  Diffusion of Information Technology Outsourcing: Influence Sources and the Kodak Effect , 1992, Inf. Syst. Res..

[53]  Judy Bayer,et al.  A critique of diffusion theory as a managerial framework for understanding adoption of software engineering innovations , 1989, [1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume II: Software track.

[54]  Sid L. Huff,et al.  Managing Micro Proliferation , 1989 .

[55]  Babette Kass,et al.  Book Review: A Comprehensive and Analytical Compendium of a Specialized Branch of Communications: Communication of Innovations, a Crosscultural Approach , 1973 .

[56]  Vincent S. Lai,et al.  ISDN: ADOPTION AND DIFFUSION ISSUES: An Empirical Investigation , 1993 .

[57]  Jay F. Nunamaker,et al.  Electronic meeting systems as innovation: A study of the innovation process , 1992, Inf. Manag..

[58]  James L. McKenney,et al.  Waves of Change: Business Evolution Through Information Technology , 1995 .

[59]  Cynthia Mathis Beath,et al.  Supporting the information technology champion , 1991 .

[60]  James A. Senn,et al.  The Implementation of Case Tools: An Innovation Diffusion Approach , 1992, The Impact of Computer Supported Technologies in Information Systems Development.

[61]  David J. Grimshaw Emerging information technologies for competitive advantage and economic development: Proceedings of 1992 Information Resources Management Association International Conference, 24-27 May 1992, Charleston, South Carolina Idea Group Publishing, Harrisburg, USA, 1992, 414 pp, US $43.95 ISBN 1-878289-17 , 1992, J. Strateg. Inf. Syst..

[62]  Arun Rai,et al.  An Organizational Context for CASE Innovation , 1993 .

[63]  Juhani Iivari,et al.  The impact of alternative IS acquisition strategies upon IS success , 1992, CPRS.

[64]  Tae Hyoung Kwon,et al.  A Diffusion of Innovation Approach to MIS Infusion: Conceptualization, Methodology, and Management Strategies , 1990, ICIS.

[65]  J. Elam,et al.  Multiple theoretical perspectives for studying the assimilation of emerging information technologies , 1992, Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences.

[66]  Daniel J. Brass,et al.  Changing patterns or patterns of change: the effects of a change in technology on social network str , 1990 .

[67]  B. Ryan The diffusion of hybrid seed corn in two Iowa communities , 1943 .

[68]  Mary B. Alexander,et al.  The diffusion of database machines , 1992, DATB.

[69]  Dorothy Leonard-Barton,et al.  Implementing Structured Software Methodologies: A Case of Innovation in Process Technology , 1987 .

[70]  Mehdi Khosrowpour,et al.  Information technology and organizations: challenges of new technologies , 1994 .

[71]  E. B. Swanson,et al.  Information systems innovation among organizations , 1994 .

[72]  Wanda J. Orlikowski,et al.  CASE Tools as Organizational Change: Investigating Incremental and Radical Changes in Systems Development , 1993, MIS Q..