Understanding Team Influence on Professionals' Acceptance of Large- Scale Systems

This paper highlights the importance of team influence in affecting professionals' acceptance of large-scale information systems. A longitudinal study involving 103 physicians was conducted with two data collections performed three months apart. The results show that team influence has a significant effect on perceived usefulness, but not on perceived ease of use, and that satisfaction with using the system of interest is significantly affected by team influence, but not by perceived usefulness. The findings make contributions to both research and practice of information systems.

[1]  Russell L. Purvis,et al.  Controlling Information Systems Development Projects: The View from the Client , 2002, Manag. Sci..

[2]  Confirmation Model.  UNDERSTANDING INFORMATION SYSTEMS CONTINUANCE: AN EXPECTATION- , 2001 .

[3]  Terry S. Overton,et al.  Estimating Nonresponse Bias in Mail Surveys , 1977 .

[4]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[5]  Joan S. Ash,et al.  Organizational factors that influence information technology diffusion in academic health sciences centers. , 1997, Journal of the American Medical Informatics Association : JAMIA.

[6]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[7]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[8]  Janet Fulk.  Social construction of communication technology , 1993 .

[9]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[10]  Paul Jen-Hwa Hu,et al.  Information Technology Acceptance by Individual Professionals: A Model Comparison Approach , 2001, Decis. Sci..

[11]  P. R. Warshaw.  A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein , 1980 .

[12]  E. Burton Swanson,et al.  Innovating Mindfully with Information Technology , 2004, MIS Q..

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

[14]  Richard T. Watson,et al.  Measuring Information Systems Service Quality: Lessons From Two Longitudinal Case Studies , 1998, MIS Q..

[15]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[16]  L. Kirsch.  The Management of Complex Tasks in Organizations: Controlling the Systems Development Process , 1996 .

[17]  Janet Fulk,et al.  Organizational Colleagues, Media Richness, and Electronic Mail , 1991 .

[18]  H DavenportThomas.  Putting the enterprise into the enterprise system , 1998 .

[19]  M. Markus,et al.  The Enterprise System Experience— From Adoption to Success , 2000 .

[20]  Wynne W. Chin.  The partial least squares approach for structural equation modeling. , 1998 .

[21]  D. Bem.  Self-Perception Theory , 1972 .

[22]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[23]  Pamela E. Carter,et al.  A Comprehensive Conceputalization of the Post-Adoptive Behaviors Associated with IT-Enabled Work Systems , 2005 .

[24]  D. Leonard-Barton,et al.  Managerial influence in the implementation of new technology , 1988 .

[25]  J. Pfeffer,et al.  A social information processing approach to job attitudes and task design. , 1978, Administrative science quarterly.

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

[27]  Rajiv Kohli,et al.  Performance Impacts of Information Technology: Is Actual Usage the Missing Link? , 2003, Manag. Sci..

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

[29]  Jeanne W. Ross,et al.  Learning to Implement Enterprise Systems: An Exploratory Study of the Dialectics of Change , 2002, J. Manag. Inf. Syst..

[30]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[31]  Rajiv Kohli,et al.  Informating the Clan: Controlling Physicians' Costs and Outcomes , 2004, MIS Q..

[32]  Nirup M. Menon,et al.  Productivity of Information Systems in the Healthcare Industry , 2000, Inf. Syst. Res..

[33]  F. Bookstein,et al.  Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory , 1982 .

[34]  G. Sewell.  The discipline of teams: The control of team-based industrial work through electronic and peer surveillance. , 1998 .

[35]  Lynda Aiman-Smith,et al.  Implementing New Manufacturing Technology: The Related Effects of Technology Characteristics and User Learning Activities , 2002 .

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

[37]  Raghu Garud,et al.  The innovation journey , 1999 .

[38]  Paul Jen-Hwa Hu,et al.  Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study , 2002, J. Manag. Inf. Syst..

[39]  J. Coleman,et al.  Medical Innovation: A Diffusion Study. , 1967 .

[40]  Robert G. Fichman,et al.  Information-rich commerce at a crossroads: business and technology adoption requirements , 2003, CACM.

[41]  N. Anderson,et al.  The team climate inventory: Development of the tci and its applications in teambuilding for innovativeness , 1996 .

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

[43]  J. Nunnally.  Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .

[44]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[45]  N. Anderson,et al.  Measuring climate for work group innovation: development and validation of the team climate inventory , 1998 .

[46]  Vallabh Sambamurthy,et al.  Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy - An Empirical Assessment , 2000, Inf. Syst. Res..

[47]  Richard T. Watson,et al.  Measuring Information Systems Service Quality: Concerns for a Complete Canvas , 1997, MIS Q..

[48]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[49]  Anne Beaudry,et al.  Understanding User Responses to Information Technology: A Coping Model of User Adaption , 2005, MIS Q..

[50]  Ritu Agarwal.  Individual Acceptance of Information Technologies , 2000 .

[51]  William G. Ouchi,et al.  Markets, Bureaucracies, and Clans. , 1980 .

[52]  J. Coleman,et al.  Medical Innovation: A Diffusion Study. , 1967 .

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

[54]  James T. C. Teng,et al.  The Relationship of Information System Training Methods and Cognitive Ability to End-User Satisfaction, Comprehension, and Skill Transfer: A Longitudinal Field Study , 1996, Inf. Syst. Res..

[55]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[56]  M. West,et al.  Innovation and creativity at work::Psychological and organizational strategies , 1992 .

[57]  Viswanath Venkatesh,et al.  Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation , 1999, MIS Q..

[58]  Marie-Claude Boudreau,et al.  Quality of Use of a Complex Technology: A Learning-Based Model , 2005, J. Organ. End User Comput..

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

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

[61]  Jean E. Wallace.  Organizational and Professional Commitment in Professional and Nonprofessional Organizations , 1995 .

[62]  Vallabh Sambamurthy,et al.  Sources of Influence on Beliefs about Information Technolgoy Use: An Empirical Study of Knowledge Workers , 2003, MIS Q..

[63]  I. Ajzen.  The theory of planned behavior , 1991 .

[64]  T. Davenport.  Putting the enterprise into the enterprise system. , 1998, Harvard business review.

[65]  Chris F. Kemerer,et al.  The assimilation of software process innovations: an organizational learning perspective , 1997 .

[66]  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..

[67]  V. G. Ouchi,et al.  A conceptual framework for the design and organizational control mechanisms , 1979 .

[68]  P. Attewell.  Technology Diffusion and Organizational Learning: The Case of Business Computing , 1992 .

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

[70]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[71]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .