scholarly journals The link between transformational leadership and the team performance in China through big data analysis

2021 ◽  
Vol 251 ◽  
pp. 01040
Author(s):  
Mingxi Peng

Transformational leadership as one kind of management field increasingly affects the performance of an organization. The paper aims to explore the link between transformational leadership and team performance through big data approach, and examine whether the transformational leadership can be adopted appropriately in Chinese labor intensive enterprise’ management practice.

2020 ◽  
Vol 214 ◽  
pp. 01017
Author(s):  
Ziqi ZHONG ◽  
Wang Haoran ◽  
WANG JUNSHENG

Corporate strategic management is an important management mode that affects the development of an enterprise. It plays a very important role in the development of corporate strategic management. In recent years, information technology has developed rapidly, data is frequently updated, and huge amounts of data are generated every day. Social development has entered the era of big data, which makes enterprises face more opportunities and challenges in formulating strategies and operating management. In order to enable enterprises to adapt to the development of the times and obtain healthy and sound development results. This article analyzes and summarizes the new characteristics of enterprise management in the context of big data, and applies big data analysis technology to the environmental analysis of enterprises, and points out the problems of strategic management of enterprises in the context of big data. This article aims at the current problems and proposes specific strategies after in-depth research, which provides a reference basis for strategic management of enterprises in the era of big data. It has certain practical significance and can help Chinese enterprises quickly adapt to the new environment.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhen Guo ◽  
Tao Zou

With the acceleration of economic development, enterprise management is facing more severe challenges. Big data analysis based on the intelligent Internet of Things (IoT) has a positive effect on the development of enterprise management and can make up for the shortcomings of enterprise management. In this paper, we develop a big data processing method based on intelligent IoT which can mine the factors that affect the company’s market sales from the collected data. Then, we propose a KNN classification algorithm based on overlapping k -means clustering. This algorithm adds a training process to the traditional KNN algorithm, which can accurately classify data and greatly improve the efficiency of the classification algorithm. Numerical analysis results prove the effectiveness of the proposed algorithm.


2019 ◽  
Vol 9 (1) ◽  
pp. 01-12 ◽  
Author(s):  
Kristy F. Tiampo ◽  
Javad Kazemian ◽  
Hadi Ghofrani ◽  
Yelena Kropivnitskaya ◽  
Gero Michel

2020 ◽  
Vol 25 (2) ◽  
pp. 18-30
Author(s):  
Seung Wook Oh ◽  
Jin-Wook Han ◽  
Min Soo Kim

2020 ◽  
Vol 14 (1) ◽  
pp. 151-163
Author(s):  
Joon-Seo Choi ◽  
◽  
Su-in Park

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