Internet technology adoption as an organizational event: an exploratory study across industries

In this exploratory study, Internet adoption decisions are examined from an organizational perspective. We postulate that when the technology considered for adoption demands a shift of paradigm, involves support of a corporate-wide infrastructure, and/or nascent skills of technology developers, individual-based technology adoption models may lack explanation power. This study identifies eight factors that may facilitate or inhibit technology adoption. Results from the interviews of top managers reveal that Internet technologies indeed demand the considerable deliberation in adoption decisions since Internet technologies requires a re-examination of existing business models and strategies. Yet, interestingly, this same technology was adopted with very different reasoning logic, ranging from using the Internet as an additional channel for promotion and advertisement to being pressured from competitors to adopt (the "we gotta have one, too" syndrome).

[1]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[2]  Bernadette Szajna,et al.  Software Evaluation and Choice: Predictive Validation of the Technology Acceptance Instrument , 1994, MIS Q..

[3]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[4]  Olivia R. Liu Sheng,et al.  Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology , 1999, J. Manag. Inf. Syst..

[5]  SzajnaBernadette.  Software evaluation and choice , 1994 .

[6]  I. Ajzen.  Attitudes, Personality and Behavior , 1988 .

[7]  Michael J. Shaw,et al.  An Investigation into Employees' Acceptance of Integrating Mobile Commerce into Organizational Processes , 2003, AMCIS.

[8]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[9]  E. Rogers,et al.  Communication in Organizations , 1976 .

[10]  Y K ChauPatrick,et al.  Factors affecting the adoption of open systems , 1997 .

[11]  M. Lynn.  Hawaii International Conference on System Sciences , 1996 .

[12]  Michael B. Moore.  Acceptance of information technology by health care professionals , 1996, CQL '96.

[13]  Peter Caputi,et al.  Issues in predicting and explaining usage behaviors with the technology acceptance model and the theory of planned behavior when usage is mandatory , 2000, ICIS.

[14]  Kar Yan Tam,et al.  Factors Affecting the Adoption of Open Systems: An Exploratory Study , 1997, MIS Q..

[15]  Christopher L. Tucci,et al.  Internet Business Models and Strategies: Text and Cases , 2002 .

[16]  Detmar W. Straub,et al.  Testing the technology acceptance model across cultures: A three country study , 1997, Inf. Manag..

[17]  Deborah Compeau,et al.  Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study , 1999, MIS Q..

[18]  J. E. Gordon.  Personality and behavior , 1963 .

[19]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

[20]  Detmar W. Straub,et al.  The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption , 2000, J. Assoc. Inf. Syst..

[21]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[22]  David A. Griffith,et al.  An emerging model of Web site design for marketing , 1998, CACM.

[23]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[24]  Ruth A. Guthrie,et al.  A fist full of dollars: four cases of web entrepreneurs , 1997, SIGCPR '97.

[25]  L. Porter,et al.  Communication in Organizations. , 1972 .

[26]  V. Venkatesh,et al.  AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE , 2000 .

[27]  Michele L. Gribbins.  The Impact of Process-Technology Fit on Usage Behavior and Process Performance , 2003, AMCIS.

[28]  Ruth C. King,et al.  E-COMMERCE RETAILING STRATEGIES FOR SMALLBUSINESSES: IT BARRIERS ANDSTRATEGIC DELIBERATION , 2002 .

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

[30]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[31]  IgbariaMagid,et al.  Personal computing acceptance factors in small firms , 1997 .

[32]  Henk Sol,et al.  Proceedings of the 54th Hawaii International Conference on System Sciences , 1997, HICSS 2015.

[33]  Michael J. Shaw,et al.  Usage and Impact of Mobile Business Applications - An Assessment Based on the Concepts of Task/Technology Fit , 2004, AMCIS.

[34]  CompeauDeborah,et al.  Social cognitive theory and individual reactions to computing technology , 1999 .