Entrepreneurial Complexity: Methods and Applications
暫譯: 創業複雜性：方法與應用

Dehmer, Matthias, Emmert-Streib, Frank, Jodlbauer, Herbert

Entrepreneurial Complexity: Methods and Applications
  • 出版商: CRC
  • 出版日期: 2020-09-30
  • 售價: $2,460
  • 貴賓價: 9.5 折 $2,337
  • 語言: 英文
  • 頁數: 180
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367656590
  • ISBN-13: 9780367656591

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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

商品描述(中文翻譯)

《創業複雜性：方法與應用》探討了創業科學與管理（Entrepreneurial Sciences and Management, ESM）的理論與實踐成果，強調定性與定量方法。ESM 是一個現代且令人興奮的研究領域，已應用來自各個學科的方法。然而，現有文獻對數學和形式模型的適當使用仍然不足；在這個廣泛的跨學科領域中進行研究的人士受過不同的訓練，特別是他們不習慣以數學方式解決商業導向的問題。本書利用 ESM 中的形式技術作為發展可被證偽的理論和模型的優勢。

特色

- 討論在創業科學中定義和測量複雜性的方法
- 總結創業科學中的新技術和基於創新的技術
- 概述創業的新形式方法和複雜性模型
- 迄今為止，尚未有書籍專門致力於在創業科學與管理中使用形式模型

作者簡介

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.

作者簡介(中文翻譯)

馬提亞斯·德赫默是奧地利上奧地利應用科技大學（University of Applied Sciences Upper Austria）斯泰爾管理學院（Steyr School of Management）及UMIT - 健康與生命科學大學的教授。他同時在中國南開大學人工智慧學院擔任客座教授。他的研究興趣包括圖論、複雜網絡、複雜性、數據科學、機器學習、大數據分析和信息理論。特別是，他也在研究基於機器學習的方法，以設計新的數據分析方法來解決製造和生產中的問題。



法蘭克·艾默特-斯特賴布是芬蘭坦佩雷大學（Tampere University）的教授，負責預測社會與數據分析實驗室（Predictive Society and Data Analytics Lab）。他的研究興趣集中在數據科學、機器學習和網絡科學領域，專注於從統計學和機器學習中發展和應用方法，以分析來自基因組學、金融、社交媒體和商業的大數據。



赫伯特·約德爾鮑爾是奧地利上奧地利應用科技大學（University of Applied Sciences Upper Austria）斯泰爾管理學院的教授，並擔任生產與管理學士學位課程及運營管理碩士學位課程的學業主任。此外，他還領導跨學院的智慧生產研究所（Smart Production Institute）。他的研究主要關注生產規劃、時間連續生產模型、生產相關決策的財務評估以及數位化。

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