L
Linying Dong
Researcher at Ryerson University
Publications - 32
Citations - 876
Linying Dong is an academic researcher from Ryerson University. The author has contributed to research in topics: Information system & Enterprise system. The author has an hindex of 12, co-authored 28 publications receiving 786 citations. Previous affiliations of Linying Dong include University of Western Ontario.
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Charismatic leadership and user acceptance of information technology
TL;DR: PLS analysis of survey data collected from 209 employees in seven organizations that had engaged in a large-scale IT implementation revealed that project champion charisma was positively associated with increased performance expectancy, effort expectancy, social influence and facilitating condition perceptions of users.
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Top management support of enterprise systems implementations
TL;DR: Results suggest that different support behaviors exercise different influences on implementation outcomes, and that top managers need to adjust their support actions to achieve the desired outcomes.
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Modeling top management influence on ES implementation
TL;DR: A conceptual model exploring impacts of top management on ES implementation effectiveness and identifies three top management influences is proposed, with potential contributions to IS researchers and business practitioners.
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Exploring managerial factors affecting ERP implementation: an investigation of the Klein-Sorra model using regression splines
TL;DR: The Klein & Sorra theoretical model of implementation effectiveness is investigated and new dimensions for studying managerial interventions in IT implementation and insights into factors that can be managed to improve the effectiveness of ERP implementation projects are offered.
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Motivating users toward continued usage of information systems: Self-determination theory perspective
TL;DR: It is revealed that transformational leadership motivates ERP users differently than transactional leadership, and that user satisfaction and perceived usefulness are salient predictors of ERP continuance intentions.