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David G. Schwartz

Researcher at Bar-Ilan University

Publications -  88
Citations -  1749

David G. Schwartz is an academic researcher from Bar-Ilan University. The author has contributed to research in topics: Organizational learning & The Internet. The author has an hindex of 19, co-authored 86 publications receiving 1611 citations. Previous affiliations of David G. Schwartz include Case Western Reserve University & Victoria University, Australia.

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Users of the world unite

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Encyclopedia of Knowledge Management

TL;DR: Theoretical aspects of knowledge management are discussed in this paper for e-economy knowledge management in the global economy Knowledge management for e -economy Knowledge management in global economy Legal aspects of KMs Managerial aspects of Knowledge Management Organizational and social aspects of KM Organizing KMs in distributed organizations Stakeholder-based knowledge Management in organizations Successful knowledge management systems implementation Technologies of knowledge Management
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An empirical assessment of the loose–tight leadership model: quantitative and qualitative analyses

TL;DR: In this paper, the authors used questionnaire and interview data to find out whether the organizational loose and tight practices are compatible with or contradict each other using the theoretical framework of Sagie's (1997) loose-tight leadership approach.
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Systemic Measures and Legislative and Organizational Frameworks Aimed at Preventing or Mitigating Drug Shortages in 28 European and Western Asian Countries.

TL;DR: The characteristics of drug shortages, including their assortment, duration, frequency, and dynamics, were found to be variable and sometimes difficult to assess and there was an urgent need to develop a set of agreed definitions for drug shortages.
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Comments Mining With TF-IDF: The Inherent Bias and Its Removal

TL;DR: This paper reveals the bias introduced by between-participants’ discourse to the study of comments in social media, and proposes an adjustment to tf-idf that accounts for this bias.