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Bernard C. Y. Tan

Researcher at National University of Singapore

Publications -  145
Citations -  11916

Bernard C. Y. Tan is an academic researcher from National University of Singapore. The author has contributed to research in topics: Information system & The Internet. The author has an hindex of 44, co-authored 139 publications receiving 10859 citations.

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Antecedents of cognitive trust and affective distrust and their mediating roles in building customer loyalty

TL;DR: Investigating how trust and distrust differently mediate in customer perceptions of various web features in the process of building customer loyalty finds that trust emerges when customers expect positive result with confidence, thereby implying that it is cognitively activated.
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De-escalation of commitment in software projects: who matters? what matters?

TL;DR: Investigation of the impact of individuals (superiors and peers) and approach (shoulder blame and provide assurance) on DoC under varying conditions of sunk cost showed that, under conditions of low sunk cost, superiors who helped to shoulder blame or provide assurance appeared to be useful in facilitating DoC.
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Change Management in Interorganizational Systems for the Public

TL;DR: This study provides a preliminary theoretical framework for studying change management in IOS for the public and aims to guide practitioners in implementing such systems.
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Knowledge Management Metrics: A Review and Directions for Future Research

TL;DR: This article reviews KM metrics for research and practice, and identifies areas where there is a gap in understanding and classifies existing research based on the units of evaluation such as user of knowledge management systems (KMS), KMS project, KM process, KM initiative, and organization as a whole.

Developing a Preliminary Framework for Knowledge Management in Organizations

TL;DR: In this article, the authors carried out a field study on the knowledge management initiative of a multi-national financial institution and, based on an initial analysis of their data, proposed a preliminary framework that incorporates several critical success factors for knowledge management.