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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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Guest Editors' Introduction Corporate Social Responsibility: Strategic Implications*

TL;DR: In this paper, a variety of perspectives on corporate social responsibility (CSR) are described, which are used to develop a framework for consideration of the strategic implications of CSR. Based on this framework, an agenda for additional theoretical and empirical research on CSR is proposed.
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The impact of investment in IT on economic performance: Implications for developing countries

TL;DR: In this paper, the authors review quantitative and qualitative research on the impact of IT on economic performance in developed and developing countries and find evidence of a strong positive correlation between IT and economic performance, as well as IT-induced changes in workforce composition in favor of highly skilled or educated workers.
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An emerging ecosystem for student start-ups

TL;DR: In this paper, the authors develop a framework to understand the ecosystem required to enable students to launch successful startups, including university mechanisms to facilitate student entrepreneurship, along with a continuum of involvement from pre-accelerators through to accelerators; the involvement of a variety of entrepreneurs, support actors and investors.
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Generating science-based growth: an econometric analysis of the impact of organizational incentives on university–industry technology transfer

TL;DR: In this paper, the authors evaluated the impact of organizational incentives on the effectiveness of UITT and found that universities having more attractive incentive structures for UITT, i.e., those that allocate a higher %age of royalty payments to faculty members, tend to be more efficient in technology transfer activities.