DocumentCode :
2892904
Title :
Extending the technology acceptance model to account for social influence: theoretical bases and empirical validation
Author :
Malhotra, Y. ; Galletta, D.F.
Author_Institution :
Florida Atlantic Univ., Boca Raton, FL, USA
Volume :
Track1
fYear :
1999
fDate :
5-8 Jan. 1999
Abstract :
The Technology Acceptance Model (TAM) represents an important theoretical contribution toward understanding IS usage and IS acceptance behaviors. However, as noted by several IS researchers, TAM is incomplete in one important respect: it doesn´t account for social influence in the adoption and utilization of new information systems. Davis (1986) and Davis et al. (1989) noted that it is important to account for subjective norm (SN), the construct denoting social influence. However, they observed that the conceptualization of SN based on TRA (Theory of Reasoned Action) has theoretical and psychometric problems. Specifically, they observed that it is difficult to distinguish if usage behavior is caused by the influence of referents on one´s intent or by one´s own attitude. They suggested that this problem may be circumvented by using an alternative theoretical basis for conceptualizing SN, specifically in terms of Kelman´s (1958, 1961) processes of social influence (compliance, identification and internalization). Within the context of organizational enterprisewide implementation and adoption of collaboration and communication technologies, this study establishes theoretical and empirical bases for the above conceptualization originally suggested by Davis and his colleagues. The construct of social influence is operationalized in terms of Kelman´s processes of internalization, identification and compliance. Analyses of field study data provide evidence of the reliability and validity of the proposed constructs, factor structures and measures. The findings enable future researchers to account for social influence in further investigating TAM.
Keywords :
information systems; social aspects of automation; IS acceptance behaviors; IS usage; factor structures; new information systems; reliability; social influence; subjective norm; technology acceptance model; validity; Bismuth; Collaboration; Communications technology; Computational Intelligence Society; Computers; Context; EMP radiation effects; Information systems; Psychology; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Sciences, 1999. HICSS-32. Proceedings of the 32nd Annual Hawaii International Conference on
Conference_Location :
Maui, HI, USA
Print_ISBN :
0-7695-0001-3
Type :
conf
DOI :
10.1109/HICSS.1999.772658
Filename :
772658
Link To Document :
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