Open AccessDissertation
A technology acceptance model for empirically testing new end-user information systems : theory and results
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The article was published on 1985-01-01 and is currently open access. It has received 5244 citations till now. The article focuses on the topics: Technology acceptance model & Information system.read more
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The impact of service level on the acceptance of application service oriented medical records
Liping Liu,Qingxiong Ma +1 more
TL;DR: This study empirically investigated how perceived service level (PSL) influenced healthcare workers' willingness to use application service oriented medical records and extended the technology acceptance model (TAM) by embedding PSL as a causal antecedent.
Journal Article
The Adoption of Online Banking in Malaysia: An Empirical Analysis
TL;DR: In this paper, the authors investigate the factors that affect the adoption of online banking in Malaysia using a self-administered questionnaire, 231 online banking services users were tested and the finding of the study indicated that social influences, perceived usefulness, trust, perceived ease of use were positively associated with the intention to adopt online banking.
Posted Content
Factors Affecting Consumer Attitudes and Intentions toward User-Generated Product Content on Youtube
Imran Anwar Mir,Kashif Ur Rehman +1 more
TL;DR: In this paper, the effects of quantity of posts, views and reviews (QPVR) on perceived credibility (PC) and usefulness (PU) of product content which users generate on YouTube was examined.
Journal ArticleDOI
From Social to Marketing Interactions: The Role of Social Networks
TL;DR: In this article, the impact of social interactions on marketing interactions within social networks was analyzed and a structural model of relationships embracing the following constructs: Social Relationships, Trust, Information Disclosure, Word of Mouth (WOM), and Attitude toward Advertising.
Journal ArticleDOI
Barriers and drivers for non-shoppers in B2C e-commerce: A latent class exploratory analysis
TL;DR: The classification of non-shoppers in B2C e-commerce based on the barriers which keep deterring them from purchasing on the Internet and the drivers which might lead them to engage in e-shopping is presented.