Adoption and impact theories in A grade academic IS journals - Review from 2008 - 2011

posted Jan 20, 2012, 5:52 PM by Debashish Mandal   [ updated Jan 25, 2012, 5:45 PM ]
This study uses niche theory, a macrolevel theory, as well as social information processing theory and the theory of electronic propinquity, both microlevel theories, to examine the niche of instant messaging (IM) in providing general gratifications.
how the presence of alternate communication media, media bandwidth, information complexity, and users' communication skills affect propinquity (the psychological feeling of nearness) and satisfaction that communicators experience using different communication channels.

Computers in Human Behavior
Quantitative survey.
Four of the five stable personality traits, as measured by the Big-5 factors of personality, contribute to explain computer self-efficacy. Taking gender into account, results show that the traits of neuroticism, extraversion, and agreeableness are significantly related to computer self-efficacy for women but not for men.
Performance expectancy, task technology fit, social influence, and facilitating conditions have significant effects on user adoption. In addition, we also found a significant effect of task technology fit on performance expectancy.
Variables from TTF as well as variables from PAM explain users’ IS continuance intention.
Users’ perceived usefulness and perceived enjoyment significantly influence their attitude towards using IM, which in turn impacts their behavioral intention. Furthermore, perceived usefulness, users’ concentration, and two components of the theory of planned behavior (TPB): subjective norm and perceived behavioral control, also have significant impact on the behavioral intention. Users’ intention determines their actual usage behavior.
Electronic commerce acceptance is determined by attitudes to the system, subjective norm and personal innovativeness in the domain of information technology. 
A revised post-acceptance model is proposed and empirically tested using the structural equation modelling technique.
This study is one of the first to examine the effects of motivational factors affecting TAM constructs.

Electronic Commerce Research and Applications
Information quality is the strongest factor to influence organizational benefits through perceived usefulness and user satisfaction.
Literature survey
The effects of affective factors such as intimacy were larger than those of cognitive factors such as perceived usefulness.
Existence of a moderating relationship of computer self-efficacy with respect to enduring involvement, but not of computer self-efficacy with respect to innovativeness.
Intention to use online banking is adversely affected mainly by the security/privacy risk, as well as financial risk and is positively affected mainly by perceived benefit, attitude and perceived usefulness.
When network externality is large enough, the follower is confined to a low market share, even though it provides the same level of service as that provided by the leader.

Information & Management
A survey paper which criticises TAM  
Quantitative study adds constructs to the TAM.
Quantitative study adds constructs to the TAM.
A competency model has been developed specifically for SME using a qualitative approach.
Investigates quantitatively the role of persuasion, training, and first-hand experience in innovation adoption and quality of persuasive argument.
Information and Organization
Complicated work to be examined again.

International Journal of Electronic Commerce
Internet Technologies, ECRM Capabilities, and Performance Benefits for SMEs: An Exploratory Study
Quantitative study.
Elucidating Individual Intention to Use Interactive Information Technologies: The Role of Network Externalities
Network benefit has a direct effect on user intention to use interactive IT and an in-direct effect mediated by perceived enjoyment, and in turn it is affected by perceived complementarity.
Post-Adoption Behaviors of E-Service Customers: The Interplay of Cognition and Emotion
Satisfaction is a significant predictor of all three post-adoption behaviors: continuance, complaint, and recommendation. 

International Journal of Information Management 
Understanding the dynamics of users’ belief in software application adoption
Self-efficacy, usefulness and intention to use are likely to be dynamic, and increase with time. The rate of change in self-efficacy influences the rate of change in usefulness, which in turn affects the rate of change in intention to use. 
Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT)
A major contribution of TCT is that it combines two central constructs: attitude and satisfaction into one continuance model, and has applicability for users at different stages of the adoption life cycle, i.e., initial, short-term and long-term users.
Attitude toward system use fully mediates the effects of salient beliefs on behavioral intention when the attitude is strong, whereas it partially mediates the effects when the attitude is weak.

Journal of Computer Information Systems
Operationalize and empirically test a model for explaining the adoption intention of transactional B2C mobile commerce.
The attribute satisfaction shows a significant effect on continuance intention mediated by the attitude toward use-continuance.
Conceptualizes perceived behavioral control as consisting of two dimensions — IT self-efficacy and facilitating conditions — and links these two dimensions respectively to IT continuance intention and behavior.
Website success cannot be measured with a “one size fits all” model, they find that success factors vary across website types.
The key determinants of adaptation behavior are adaptation usefulness, ease of adaptation, and IT adaptability.
Performance impacts will occur when the technology meets the users’ needs and provides features that support the fit of the requirements of the task.
The study develops a model of microblogging use continuance based on theories of continuance, habit and critical mass.

Journal of Organizational Computing and Electronic Commerce
The model provides explanatory power comparable to existing models of technology acceptance and that outcome comparisons provide unique insight beyond known determinants of intentions and usage.
Perceived usefulness, compatibility, enjoyment, and security are significant predictors of intention to use enterprise IM.