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Entrepreneurial Complexity: Methods and Applications

Entrepreneurial Complexity: Methods and Applications

by Matthias Dehmer (Editor), Matthias Dehmer (Editor), Frank Emmert-Streib (Editor), Herbert Jodlbauer (Editor)

  • New

    Illustrated 2019

    $161.43
Synopsis

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

$161.43

Quantity

1 in stock

More Information

Format: Illustrated
 Pages: 194
 Edition: 1
 Publisher: CRC Press
Published: 19 Feb 2019
ISBN 10: 0815370016
ISBN 13: 9780815370017

Author Bio
Matthias Dehmer studied mathematics at the University of Siegen (Germany) and received his Ph.D. in computer science from the Technical University of Darmstadt (Germany). Afterwards, he was a research fellow at Vienna BioCenter (Austria), Vienna University of Technology, and University of Coimbra (Portugal). He obtained his habilitation in applied discrete mathematics from the Vienna University of Technology. Currently, he is Professor at UMIT - The Health and Life Sciences University. Also he holds a Guest Professorship at Nankai University. His research interests are in complex networks, complexity, data science, predictive analytics, machine learning and information theory. He published more than 225 publications in computer science and related disciplines. Frank Emmert-Streib studied physics at the University of Siegen, Germany, gaining his PhD in theoretical physics from the University of Bremen. He was a postdoctoral fellow in the USA before becoming a Faculty member at the Center for Cancer Research at the Queens University Belfast (UK). Currently, he is a Professor at Tampere University Technology, Finland, in the Department of Signal Processing. His research interests are in the field of computational biology, data science and analytics in the development and application of methods from statistics and machine learning for the analysis of big data from genomics, finance and business. Herbert Jodlbaur studied technical mathematics at the Johannes Kepler University of Linz (Austria) and received his Ph.D. in mechanical engineering from the Technical University of Vienna (Austria). After his studies, he was project leader at the HILTI AG (Liechtenstein). In his function as a member of the executive board of the FAZAT Steyr GmbH he founded study courses at the University of Applied Sciences with focus on Production, Logistics and Management. He is the director of studies of the bachelor study course Production and Management and the master study course Operations Management. Furthermore, he leads the trans-faculty institute of Smart Production. Beyond that, he owns since 1995 the consultancy enterprise TechTransfer in the field of production optimization, planning and control as well as industry 4.0. His current books are 'Die Datenspinne', 'Im Netz von Google', 'Facebook', 'Alibaba und Co!' (Leykam, 2016) and 'Produktionsoptimierung' (Verlag Osterreich, 2016).