Examining pre-adoption interest in online innovations: an exploratory study of e-service personalization in the public sector

In order to better understand why public organizations develop interest in online innovations, this paper develops a revised model of technological innovation with an emphasis on socio-technical factors associated with electronic service delivery. This model focuses on three primary dimensions of online innovation: perceived need, technical capacity, and risk mitigation. It is hypothesized that these three dimensions will have the greatest influence on the development of pre-adoption interest in a new online innovation. This model is then used to examine a single online innovation, personalization of online government information and services. Data from a survey of local governments is used to test the theory. A regression model was estimated from the survey data. Results suggest that perceived need, financial costs, and the ability to mitigate the risks associated with privacy issues each influence the level of interest in personalized online services. The results suggest that public organizations must find reliable means of determining external demand for online innovations, as well as reducing the risks associated with each specific type of online innovation prior to adoption.

[1]  Wilpen L. Gorr,et al.  Key Information Systems Management Issues for the Public Sector , 1991, MIS Q..

[2]  Richard T. Watson,et al.  A strategic perspective of electronic democracy , 2001, CACM.

[3]  Alain Pinsonneault,et al.  Survey Research Methodology in Management Information Systems: An Assessment , 1993, J. Manag. Inf. Syst..

[4]  Udi Manber,et al.  Experience with personalization of Yahoo! , 2000, CACM.

[5]  J. Cockcroft The process of technological innovation , 1965 .

[6]  J. Fountain Building the Virtual State: Information Technology and Institutional Change , 2001 .

[7]  J. Ettlie,et al.  Organization Strategy and Structural Differences for Radical Versus Incremental Innovation , 1984 .

[8]  Barry Bozeman,et al.  Public management information systems: theory and prescription , 1986 .

[9]  Richard T. Watson,et al.  Teledemocracy in local government , 1999, CACM.

[10]  Nigel Wells,et al.  Finance with a personalized touch , 2000, CACM.

[11]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[12]  Robert K. Yin,et al.  A Review of Case Studies of Technological Innovations in State and Local Services , 1976 .

[13]  J. Dutton,et al.  The Adoption of Radical and Incremental Innovations: An Empirical Analysis , 1986 .

[14]  James N. Danziger,et al.  The Adoptability of Inno Va Tions , 1980 .

[15]  F. Damanpour Organizational Innovation: A Meta-Analysis Of Effects Of Determinants and Moderators , 1991 .

[16]  William H. DeLone Firm Size and the Characteristics of Computer Use , 1981, MIS Q..

[17]  Chris C. Demchak,et al.  Webbing governance: global trends across national-level public agencies , 2001, CACM.

[18]  L. Cronbach Coefficient alpha and the internal structure of tests , 1951 .

[19]  Kenneth L. Kraemer,et al.  Technological Innovation in American Local Governments: The Case of Computing , 1980 .

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

[21]  Stuart Bretschneider,et al.  Organizational Adoption of Microcomputer Technology: The Role of Sector , 1993, Inf. Syst. Res..

[22]  Barry Smyth,et al.  A personalized television listings service , 2000, CACM.

[23]  A. Bandura Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.

[24]  Mark Vandenbosch,et al.  Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions - Understanding Merchant Adoption of a Smart Card-Based Payment System , 2001, Inf. Syst. Res..

[25]  Daniel Robey,et al.  User Attitudes and Management Information System Use , 1979 .

[26]  John Vergo,et al.  A user-centered design approach to personalization , 2000, CACM.

[27]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[28]  H. Cooper,et al.  A Quantitative Review of Research Design Effects on Response Rates to Questionnaires , 1983 .

[29]  D. Dillman Mail and telephone surveys : the total design method , 1979 .

[30]  G. Zaltman,et al.  Innovations and organizations , 2020, Organizational Innovation.

[31]  Stuart Bretschneider,et al.  Management Information Systems in Public and Private Organizations: An Empirical Test. , 1990 .