Entrepreneurial Complexity: Methods and Applications

ISBN-13: 9780367656591 / Angielski / Miękka / 2020 / 194 str.

Matthias Dehmer; Frank Emmert-Streib; Herbert Jodlbauer

Opis

This book deals with theoretical and practical results of Entrepreneurial Sciences and Management (ESM), emphasising quantitative methods. ESM has been a modern and exciting research field in which methods from various disciplines have been applied. 

Spis treści

Contents

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 171

O autorze

Matthias 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.