Acceptance of Feedbacks in Reputation Systems: The Role of Online Social Interactions

In an online environment, the aim of reputation systems is to let parties rate each other and to help consumers in deciding whether to transact with a given party. In current reputation systems for e-commerce, users have to trust unreliable information sources and anonymous people. As a result, users are not only hesitant to trust online seller but also to reputation systems. Therefore, there is a need to improve current reputation systems by allowing users to make buying decision based on reliable source of information. This paper proposes a new approach of sharing knowledge and experience in reputation systems by utilizing social interactions. This study examines the potentials of integrating social relations information in reputation systems by proposing a model of acceptance of feedbacks in reputation systems

Acceptance of feedbacks in reputation systems: the role of online social interactions

In an online environment, the aim of reputation systems is to let parties rate each other and to help consumers in deciding whether to transact with a given party. In current reputation systems for e-commerce, users have to trust unreliable information sources and anonymous people. As a result, users are not only hesitant to trust online seller but also to reputation systems. Therefore, there is a need to improve current reputation systems by allowing users to make buying decision based on reliable source of information. This paper proposes a new approach of sharing knowledge and experience in reputation systems by utilizing social interactions. This study examines the potentials of integrating social relations information in reputation systems by proposing a model of acceptance of feedbacks in reputation systems

Enhancing user acceptance of feedback in reputation systems using social factors

In e-commerce, reputation systems are created as decision making tools that work via gathering reputation information of online sellers, products or services meant for distribution to interested parties. One of the challenges of the current reputation systems is generating trustworthy feedback to overcome fake and inaccurate submitted feedback as this may mislead the feedback receiver in the process of decision making for shopping online. This research used a social approach to investigate the influence of social factors on acceptance of feedback in the reputation systems and how social relationship indicators can be utilized in these systems. A research model was developed based on three main factors comprising homophily, tie strength and source credibility. Seven hypotheses were developed to test the model. A survey was conducted to evaluate the effect of the proposed social factors to improve feedback acceptance in reputation systems. Data analysis and model testing were operated using Structural Equation Modelling (SEM) with Partial Least Squares (PLS) technique. Then, the proposed model was used to develop the design principles for a social reputation system based on Information Systems Design Theory (ISDT). The results indicated that acceptance of feedback was significantly affected by cognitive and demographic homophily. In addition, expertise and trustworthiness with reference to source credibility had positive influence on the acceptance of feedback. Besides that, based on the three dimensions of the tie strength, closeness of relationship was significant whereas the frequency of interaction and duration of relationship were not significant. In general, the findings of this study supported the proposed theoretical model by emphasizing the role of social relationship of source and recipient on acceptance of feedback to assist users to access trustworthy feedback in reputation systems

Instructional engineering for acceptance of Web 2.0 technologies to promote critical thinking

One of the major aims of science and technology instruction is to promote learners conceptual understanding and thinking skills. The main goal of this paper is to explain an e-Learning framework on the use of web 2.0 technologies to promote critical thinking skills with Decomposed Theory of Planned Behavior (DTPB) and Practical Inquiry Model (PIM) in educational environment. Technology application such as web 2.0 tools in the teaching and learning environment has increased over the past years, but majority of them are limited to content delivery. Using the Decomposed Theory of Planned Behavior (DTPB) allows us to uncover specific factors that influence the acceptance or use of new technologies to supplement in–class learning. In addition, the rapid growth of web 2.0 tools has made an increasing amount of information available. Students access different pieces of knowledge. Therefore, they must be aware not only how access information but also more significantly how to manage information, analyze, integrate, and evaluate into usable knowledge. Practical Inquiry Model (PIM) is the instructional process to guide online learners to higher levels of Bloom’s Taxonomy to have them thinking and writing at the levels of analysis, synthesis, and evaluation