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OverviewFull Product DetailsAuthor: Matthias Dehmer , Frank Emmert-Streib (Queen's University Belfast, UK) , Herbert JodlbauerPublisher: Taylor & Francis Inc Imprint: CRC Press Inc Weight: 0.462kg ISBN: 9780815370017ISBN 10: 0815370016 Pages: 194 Publication Date: 18 February 2019 Audience: College/higher education , General/trade , Tertiary & Higher Education , General Format: Hardback Publisher's Status: Active Availability: In Print ![]() 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 ContentsContents Preface ix Editors xi Contributors xiii 1 Entrepreneurs for Renewables: Emergence of Innovation and Entrepreneurship in Complex Social Systems 1 Diana Süsser, Barbara Weig, Martin Döring and Beate M.W. Ratter 2 Entrepreneurial Network Effects: Empirical Observations of Entrepreneurial Networks in a World of Complexity 49 John T. Scott 3 Entrepreneurial Process: The Overbearing Role of Complex Social Network 61 Adekiya Adewale and Ahmed Musbah Aboyssir 4 Sustainable Entrepreneurial Activity within Complex Economic Systems 89 Panagiotis E. Petrakis and Kyriaki I. Kafka 5 Integration Opportunities of Stability-Oriented Processes for Real Estate Transaction Entities 109 Linda Kauškale and Ineta Geipele 6 Entrepreneurial Dispositions Personality Inventory: Development and Validation 117 Konrad Janowski, Marcin Waldemar Staniewski and Katarzyna Awruk 7 Mapping the Entrepreneurship from a Gender Perspective 141 Magdalena Suárez-Ortega, María del Rocío Gálvez-García and María Fe Sánchez-García Index 171ReviewsAuthor InformationMatthias Dehmer is a professor at the University of Applied Sciences Upper Austria, Steyr School of Management and UMIT – The Health and Life Sciences University in Austria. He also holds a guest professorship at Nankai University, College of Artificial Intelligence in China. His research interests are in graph theory, complex networks, complexity, data science, machine learning, big data analytics, and information theory. In particular, he is also working on machine learningbased methods to design new data analysis methods for solving problems in manufacturing and production. Frank Emmert-Streib is a professor at Tampere University, Finland, heading the Predictive Society and Data Analytics Lab. His research interests are in the field of data science, machine learning and network science in the development and application of methods from statistics and machine learning for the analysis of big data from genomics, finance, social media and business. Herbert Jodlbauer is a professor at the University of Applied Sciences Upper Austria, Steyr School of Management and also acts as a director of studies of the bachelor study program Production and Management and the master study program Operations Management. Furthermore, he leads the trans-faculty institute of Smart Production. His research is primarily concerned with production planning, time continuous production models, financial valuation of production related decisionmaking as well as digitalization. Tab Content 6Author Website:Countries AvailableAll regions |