Predicting groupware usage

As organizations are adopting new structures, groupware is increasingly being used as a way of implementing these new organizational forms. Although user acceptance of groupware technology by the intended users is a prerequisite for realizing its full potential in organizations, there is no clear understanding about why people accept or reject groupware technology. Davis's (1986, 1989) technology acceptance model (TAM) provides a useful basis in answering this question. With traditional end-user computing tools, behavioral intention measured shortly after brief training with the software can reasonably predict the usage behavior measured later in the system deployment process. Given the unique characteristics of groupware technology, however, it is not clear whether traditional TAM can be still used to predict groupware acceptance. In a longitudinal study with senior executives, intentions to use a specific groupware system, measured two weeks after the initial introduction of the technology, were found not to be correlated with system use eight weeks later. Perceived usefulness and ease of use were strongly correlated with contemporaneously measured behavioral intention and system use. These results suggest a possible existence of a social influence process in the groupware technology acceptance process. Managers need to be careful in trying to predict user acceptance using behavioral intention measured shortly after a short training or introduction of the technology to the intended users. Instead, managers may need to pay much closer attention to the social process of the groupware acceptance process in the workplace.

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

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

[3]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

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

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

[6]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[7]  Michael J. Ginzberg,et al.  Early Diagnosis of MIS Implementation Failure: Promising Results and Unanswered Questions , 1981 .

[8]  Constance Perin,et al.  Electronic social fields in bureaucracies , 1991, CACM.

[9]  A. Giddens The Constitution of Society , 1985 .

[10]  G. DeSanctis,et al.  Electronic Communication and Changing Organizational Forms , 1995 .

[11]  Nitin Nohria,et al.  The Virtual Organization: Bureaucracy, Technology, and the Implosion of Control , 1994 .

[12]  E. Shils The Constitution Of Society , 1982 .

[13]  Robert Johansen,et al.  Groupware: Computer Support for Business Teams , 1988 .

[14]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[15]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[16]  David C. Croson,et al.  Creative Destruction: A Six-Stage Process for Transforming the Organization , 1995 .

[17]  Nancy E. Grund Creative Destruction: A Six-Stage Process for Transforming the Organization , 1995 .

[18]  R. E. Miles,et al.  Organizations: New Concepts for New Forms , 1986 .

[19]  Anthony Giddens,et al.  Studies in social and political theory , 1979 .

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