Suchergebnisse

"A report of the Energy Research Advisory Board to the United States Department of Energy." ; "DOE/S-0017." ; "January 1983." ; Mode of access: Internet.

Although the volume of business and management education (BME) research has expanded substantially, concerns remain about the field's legitimacy and its ability to attract new and dedicated scholars. An obstacle that may impede field development is lack of knowledge about influential works and authors to frame topical areas of inquiry and future research questions. We used citation analysis to track the development of BME research by uncovering 100 highly cited articles that revolve primarily around four research topical areas: (a) Entrepreneurship Education, (b) Distance Education/Online Teaching and Learning, (c) Business Student Ethics, and (d) Characteristics/Critiques of Business Schools. We then used legitimation code theory to categorize these articles on the basis of richness of knowledge ideas (Knowledge Code), the reputation of scholars (Knower Code), the combination of knowledge and reputation (Elite Code), or some other qualities (Relativist Code). Both Entrepreneurship Education and Online Teaching and Learning had articles in Relativist Code, Elite Code, and Knowledge Code categories, with other topical areas primarily populating the Knower Code and Relativist Code categories. We conclude by discussing potential implications for the development of BME research topics, BME scholars, and future applications of legitimation code theory.

AbstractSustainability constitutes a focal challenge and objective of our time and requires collaborative efforts. As artificial intelligence brings forth substantial opportunities for innovations across industry and social contexts, so it provides innovation potential for pursuing sustainability. We argue that (chemical) research and development driven by artificial intelligence can substantially contribute to sustainability if it is leveraged in an ethical way. Therefore, we propose that the ethical principle explicability combined with (open) research data management systems should accompany artificial intelligence in research and development to foster sustainability in an equitable and collaborative way.

At top of title page: National Security Management. ; " . second of two texts prepared by the Industrial College to replace the textbook Research and Development, published in 1960"--Foreword. ; Bibliography: p. 183-189. ; Mode of access: Internet.

Knowledge management (KM) has many facets from providing comprehensive knowledge bases for workers, through the sharing of advice and problem solving, to providing an environment for innovation and change. This book, focusing on research and development, and manufacturing-based companies, explores how a range of techniques and approaches have been applied in the unique environment of the pharmaceutical industry, and examine how it can help the industry in the 21st century. Its objective is to discuss and demonstrate how Knowledge management can be applied in a variety of environments, and with a range of cultural issues. KM practitioners, and potential practitioners, both within and outside the pharmaceutical industry, will be able to gain valuable guidance and advice from both the examples of good practice and the lessons learned by the authors and contributors. --