Management Innovation and Big Data (eBook)
XV, 217 Seiten
Springer Nature Singapore (Verlag)
978-981-19-9231-5 (ISBN)
Adhering to the combination of theoretical introduction and practical case introduction, this book summarizes the basic concepts and methods in management and big data analysis at home and abroad and introduces a large number of relevant practical cases, especially new cases in the Internet era, to help readers integrate theoretical knowledge into practical applications. The chapters of this book are interrelated and independent of each other, making it easy for the reader to study in pieces or to delve deeper into a particular topic of interest.
Covering an array of theories about management and big data at home and abroad, this book lays a solid foundation for being an authentic manager. It is organized into sections on decision-making, organization, leadership, control, innovation, and big data to fully dissect and summarize the basic concepts of these characters in management and to show the basic methods that managers can use to solve problems. Each section contains a large number of examples to demonstrate how entrepreneurs successfully manage their large companies and overcome the difficulties in the business, utilizing the corresponding management functions or big data technology. Further, in order to adapt to the development of the Internet era, this book also absorbs a lot of practice cases of management innovation and big data which have emerged in recent years based on advanced network platform and big data analysis. This book puts great emphasis on the innovative function of management, adding more comprehensive methods and more updated cases related to the Internet.
Zheng Qin is a professor and a doctoral supervisor. He serves as the founding vice president of Southern University of Science and Technology and the founding dean of the School of Information Management and Engineering, Shanghai University of Finance and Economics. He has taken charge of and finished many academic projects of national natural science foundation, provincial natural science foundation, and at provincial and ministerial levels. He has published more than 100 theses at home and abroad and has finished 16 works and 2 national patents. He has won provincial and ministerial science and technology progress awards, 2005 Citigroup Financial Information Technology Education Fund Project Excellence Award Teaching Fellowship, 2006 Baosteel Outstanding Teacher Award, etc.
Yan Li serves as an associate professor and a master tutor of Shanghai International Studies University. She is also a visiting scholar of University of Michigan, USA. She has presided over a number of scientific research projects, such as the National Natural Science Foundation of China, sub-projects of major projects of social sciences, and special fund for outstanding young teachers in universities and colleges of Shanghai. More than 30 papers have been published at home and abroad. She was awarded the International Paper Award in 2016, the National Excellent Case Award in 2014, the Shao Yibing Teaching Award in 2018, the Professional Backbone Teacher in 2016, and the March 8th Red Banner Player of Shanghai International Studies University in 2012.
Yinzhou Yang is a postgraduate of Southern University of Science and Technology. She joined the research group led by Professor Qin Zheng, took 'The Bottlenecks and Countermeasures for Local Governments to Introduce University Resources' as the research direction, and published thesis at international conferences as the corresponding author. She has won the university-level outstanding graduate and the second prize of outstanding student for many times.
Adhering to the combination of theoretical introduction and practical case introduction, this book summarizes the basic concepts and methods in management and big data analysis at home and abroad and introduces a large number of relevant practical cases, especially new cases in the Internet era, to help readers integrate theoretical knowledge into practical applications. The chapters of this book are interrelated and independent of each other, making it easy for the reader to study in pieces or to delve deeper into a particular topic of interest. Covering an array of theories about management and big data at home and abroad, this book lays a solid foundation for being an authentic manager. It is organized into sections on decision-making, organization, leadership, control, innovation, and big data to fully dissect and summarize the basic concepts of these characters in management and to show the basic methods that managers can use to solve problems. Each section contains a large number of examples to demonstrate how entrepreneurs successfully manage their large companies and overcome the difficulties in the business, utilizing the corresponding management functions or big data technology. Further, in order to adapt to the development of the Internet era, this book also absorbs a lot of practice cases of management innovation and big data which have emerged in recent years based on advanced network platform and big data analysis. This book puts great emphasis on the innovative function of management, adding more comprehensive methods and more updated cases related to the Internet.
| Erscheint lt. Verlag | 20.4.2023 |
|---|---|
| Reihe/Serie | Management for Professionals | Management for Professionals |
| Zusatzinfo | XV, 217 p. 14 illus., 9 illus. in color. |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Wirtschaft ► Betriebswirtschaft / Management ► Marketing / Vertrieb | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Schlagworte | Big Data Basic Concepts • Big Data Basic Methods • Big Data era • Big Data Practice • Decision-Making • Management Basic Concepts • Management Basic Methods • Management Innovation • Management Practice Cases • organization |
| ISBN-10 | 981-19-9231-2 / 9811992312 |
| ISBN-13 | 978-981-19-9231-5 / 9789811992315 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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