Clarifying the Integration of Trust and TAM in E-Commerce Environments: Implications for Systems Design and Management

被引:104
作者
Benamati, John 'Skip' [1 ]
Fuller, Mark A. [2 ]
Serva, Mark A. [3 ]
Baroudi, Jack [3 ]
机构
[1] Miami Univ, Dept Decis Sci & Management Informat Syst MIS, Oxford, OH 45056 USA
[2] Univ Massachusetts, Isenberg Sch Management, Amherst, MA 01003 USA
[3] Univ Delaware, Dept Accounting & Management Informat Syst MIS, Newark, DE 19715 USA
关键词
E-commerce; nomological network; technology acceptance model (TAM); technology acceptance; trust; voluntary Web site adoption; TECHNOLOGY ACCEPTANCE MODEL; USER ACCEPTANCE; INFORMATION-TECHNOLOGY; SCALE DEVELOPMENT; PERCEIVED EASE; WEB SITE; INTERNET; VALIDATION; INTENTIONS; EXTENSION;
D O I
10.1109/TEM.2009.2023111
中图分类号
F [经济];
学科分类号
02 ;
摘要
Two dominant theories-trust and technology acceptance-have been employed in numerous information systems research studies to help understand consumer behavior in e-commerce environments. In this context of voluntary Web site adoption and use, we provide a more precise understanding of the nomological network related to the cognitive variables (both beliefs and attitudes) that precede this use. Designers and engineers need to be concerned not just with building an objectively better Web site but also with building a Web site that conveys desirable characteristics. Although the theory of reasoned action has been acknowledged as the underlying theory for technology acceptance and some trust research, past studies integrating these two theories have omitted important variables from their models and have posited different causal relationships among model variables. This research argues for the reinclusion and/or clarification of belief and attitude constructs relevant to technology acceptance and trust research streams, explains why these constructs are critical for understanding causality in such models, proposes an integration model that is consistent with this argument, and finally tests this model in a context exploring initial reactions to an e-vendor and evaluates the relative importance of trust and technology acceptance variables in predicting user intentions.
引用
收藏
页码:380 / 393
页数:14
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