Evaluating Scholarship and Research Impact: History, Practices, and Policy Development

Author:   Jeffrey W. Alstete (Iona College, USA) ,  Nicholas J. Beutell (Iona College, USA) ,  John P. Meyer (Iona College, USA)
Publisher:   Emerald Publishing Limited
ISBN:  

9781787563902


Pages:   216
Publication Date:   26 June 2018
Format:   Paperback
Availability:   In Print   Availability explained
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Evaluating Scholarship and Research Impact: History, Practices, and Policy Development


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Author:   Jeffrey W. Alstete (Iona College, USA) ,  Nicholas J. Beutell (Iona College, USA) ,  John P. Meyer (Iona College, USA)
Publisher:   Emerald Publishing Limited
Imprint:   Emerald Publishing Limited
Weight:   0.227kg
ISBN:  

9781787563902


ISBN 10:   1787563901
Pages:   216
Publication Date:   26 June 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. A Primer on Policy and Research 2. History and Evolution of Scholarly Metrics and Impact Factors 3. Concerns and Problems 4. Benefits and Possibilities for Research Policy Improvements  5. Impact is Perceived as an Indirect Measure of Quality 6. Conclusion Appendix 1: San Francisco Declaration on Research Assessment

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Business scholars Alstete, Beutell, and Meyer propose a conceptual framework for using research evaluation methods to develop policies for promoting and rewarding quality research that includes consideration of research purpose, outputs, forms, funding and institutional type. The underlying problem, they say, is the growing awareness that publication in a quality journal does not necessarily equate to the true value of the underlying research. They discuss a primer on policy and research, the history and evolution of scholarly metrics and impact factors, concerns and problems, and benefits and possibilities for research policy improvements.--Annotation (c)2018 (protoview.com)


Business scholars Alstete, Beutell, and Meyer propose a conceptual framework for using research evaluation methods to develop policies for promoting and rewarding quality research that includes consideration of research purpose, outputs, forms, funding and institutional type. The underlying problem, they say, is the growing awareness that publication in a quality journal does not necessarily equate to the true value of the underlying research. They discuss a primer on policy and research, the history and evolution of scholarly metrics and impact factors, concerns and problems, and benefits and possibilities for research policy improvements. -- Annotation (c)2018 * (protoview.com) *


Author Information

Jeffrey W. Alstete is Professor of Management and Business Administration at Iona College, USA. He teaches business policy and strategy, entrepreneurship, international management, managerial decision-making, and other topics. Professor Alstete is chair of the Intellectual Contributions Committee and is the author of five books including Benchmarking in Higher Education and Revenue Generation Strategies: Leveraging Higher Education Resources for Increase Income. Nicholas J. Beutell is Professor of Management and Business Administration at Iona College, USA. He was Dean of the School of Business for ten years, prior chair of the Institutional Review Board at Iona College, and has over 40 years of experience as scholar, professor, and administrator. Professor Beutell is a widely recognized and highly cited scholar on work-family and life satisfaction. John P. Meyer is Professor and Chair of Management and Business Administration at Iona College, USA. His research includes knowledge management, innovation and experiential learning. He has published research on intellectual capital and patent citations which, as representations of innovation quality and value, are analogous to the way scholarly citations are now being used to evaluate research quality and value.

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