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Donald S. Siegel

Researcher at Arizona State University

Publications -  237
Citations -  40796

Donald S. Siegel is an academic researcher from Arizona State University. The author has contributed to research in topics: Entrepreneurship & Corporate social responsibility. The author has an hindex of 72, co-authored 230 publications receiving 36549 citations. Previous affiliations of Donald S. Siegel include Rensselaer Polytechnic Institute & University of California, Riverside.

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Public policy and the displacement effects of casinos: A case study of riverboat gambling in Missouri

TL;DR: This paper found evidence of substitution between gambling and other businesses in the entertainment and amusement sector, and concluded that the search for displacement should probably be focused on activities that constitute the closest consumer substitutes.
Posted Content

CEO Transformational Leadership and Corporate Social Responsibility

TL;DR: In this article, the authors apply transformational leadership theory to improve the understanding of the potential role of CEOs in determining the extent to which their firms engage in corporate social responsibility (CSR).
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University Technology Transfer: An Introduction to the Special Issue

TL;DR: In recent decades, there has been a substantial increase in university patenting, licensing, and research joint ventures with private companies as mentioned in this paper, which has also become ubiquitous at research universities.
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An Empirical Analysis of the Strategic Use of Corporate Social Responsibility

TL;DR: In this article, the role of information asymmetry and how CSR is likely to be matrixed into a firm's product differentiation strategy is investigated. And the authors report evidence that is consistent with this hypothesis.
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Taxation and the demand for gambling: new evidence from the United Kingdom

TL;DR: In 2001, the U.K. government implemented a dramatic shift in gambling taxation, resulting in a substantial decline in taxes levied on U.S. bookmakers as mentioned in this paper, leading to a significant reduction in revenue.