| Description |
1 online resource (195 pages) |
| Contents |
Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Preface; Editors; Contributors; 1. Entrepreneurs for Renewables: Emergence of Innovation and Entrepreneurship in Complex Social Systems; 1 Introduction; 2 Exploring Conceptual Convergences: Complex Social Systems, Innovation Theory and Ideas of Entrepreneurship; 3 Case Study of aRenewable Energy Transition in the Northern German Municipality of Reußenköge; 4 Methodological Requirements: A Mixed-Methods Approach for Analysing Complex Social Systems |
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5 Empirical Findings: Grassroots Innovation and Energy-Preneurs for a Community-Based Energy Transition6 Discussion; 7 Conclusion; References; 2. Entrepreneurial Network Effects: Empirical Observations of Entrepreneurial Networks in a World of Complexity; 1 Introduction: The Context for Entrepreneurial Networks; 2 Firm, Industry, and Entrepreneurial Network Effects. Dimensions of Behavior and Performance; 3 Identifying Entrepreneurial Networks. AProbabilistic Method; 4 Testing Hypotheses about Entrepreneurial Networks. Examples; 5 Conclusion: Implications and Agenda for Future Research; Notes |
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5. Integration Opportunities of Stability-Oriented Processes for Real Estate Transaction Entities1 Introduction; 2 Direct and Indirect Influences on Real Estate Transaction Entities (Economic Focus); 3 Integration of Stability-Oriented Aspects for Real Estate Transaction Entities; 4 Sector Analysis; 5 Conclusion; References; 6. Entrepreneurial Dispositions Personality Inventory: Development and Validation; 1 Introduction; 2 Study 1- Development of the EDPI; 3 Study 2- Convergent Validity of the EDPI; 4 Study 3- Criterion Validity of the EDPI; 5 Results; 6 Discussion; Acknowledgements |
| Summary |
Entrepreneurial Complexity: Methods and Applications deals with theoretical and practical results of Entrepreneurial Sciences and Management (ESM), emphasising qualitative and quantitative methods. ESM has been a modern and exciting research field in which methods from various disciplines have been applied. However, the existing body of literature lacks the proper use of mathematical and formal models; individuals who perform research in this broad interdisciplinary area have been trained differently. In particular, they are not used to solving business-oriented problems mathematically. This book utilises formal techniques in ESM as an advantage for developing theories and models which are falsifiable. Features Discusses methods for defining and measuring complexity in entrepreneurial sciences Summarises new technologies and innovation-based techniques in entrepreneurial sciences Outlines new formal methods and complexity-models for entrepreneurship To date no book has been dedicated exclusively to use formal models in Entrepreneurial Sciences and Management |
| Bibliography |
References3. Entrepreneurial Process: The Overbearing Role of Complex Social Network; 1 Background to the Study; 2 Introduction; 3 Entrepreneurial Process; 4 Social Network; 5 Theoretical Underpinning; 6 Conclusion; 7 Implications for Theory and Practice; References; 4. Sustainable Entrepreneurial Activity within Complex Economic Systems; 1 Introduction; 2 The Concept of Complexity within Economic Theory; 3 Complexity and Entrepreneurial Activity; 4 Hypothesis Testing: Complexity and Entrepreneurial Activity; 5 Conclusions; Notes; References |
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References7. Mapping the Entrepreneurship from a Gender Perspective; 1 Introduction; 2 Background to the Study and Objectives; 3 Methodological Approach; 4 Results; 5 Conclusions and Discussion; 6 Some Implications and Final Considerations for Entrepreneurial Professional Theory and Practice; Notes; References; Index |
| Notes |
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 |
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Print version record |
| Subject |
Entrepreneurship -- Mathematical models
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Management science -- Mathematical models
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MATHEMATICS -- Applied.
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BUSINESS & ECONOMICS -- Statistics.
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BUSINESS & ECONOMICS -- Operations Research.
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Management science -- Mathematical models
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Entrepreneurship -- Mathematical models
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| Form |
Electronic book
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| Author |
Jodlbauer, Herbert, 1955-
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Emmert-Streib, Frank.
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Dehmer, Matthias, 1968-
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| ISBN |
9781351250832 |
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1351250833 |
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9781351250849 |
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1351250841 |
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9781351250818 |
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1351250817 |
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9781351250825 |
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1351250825 |
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