T
Tsong Shin Sheu
Researcher at Nan Kai University of Technology
Publications - 9
Citations - 406
Tsong Shin Sheu is an academic researcher from Nan Kai University of Technology. The author has contributed to research in topics: Project management & Taguchi methods. The author has an hindex of 5, co-authored 9 publications receiving 350 citations. Previous affiliations of Tsong Shin Sheu include National Tsing Hua University.
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Relationships among interpersonal conflict, requirements uncertainty, and software project performance
TL;DR: In this paper, the impact of interpersonal conflict and user requirements uncertainty on information system (IS) project performance was examined by examining the impact on IS project performance made by the interaction between interpersonal conflicts and requirement uncertainty (which comprises both diversity and instability).
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The impact of financial services quality and fairness on customer satisfaction
TL;DR: In this paper, the authors conduct a cross-sectional questionnaire survey, including samples of 420 customers from the financial services industry in Taiwan, and evaluate the measures of reliability as well as validities, and to test the hypotheses.
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User commitment and collaboration: Motivational antecedents and project performance
TL;DR: Results indicate that the affective mediator can be influenced by the tested antecedents showing that IS project managers should be able to choose users with essential abilities and also establish sufficient rewards to employees, even those who may not be direct subordinates.
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The contribution of resource interdependence to IT program performance: A social interdependence perspective
TL;DR: In this article, a model of promotive behaviors using the lens of social interdependence is developed using the concept of resource interdependencies as an indicator of collaboration, and a survey of program and project managers in information system vendors located in India support the model.
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Coproduction in successful software development projects
TL;DR: Coproduction can be an effective approach to the development of systems in terms of meeting project goals and the assembly of expertise on the team is an important contributor to successful outcomes that may be enhanced through effective selection of team members.