Volume 8 Number 1 (Mar. 2018)
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IJEEEE 2018 Vol.8(1): 51-57 ISSN: 2010-3654
doi: 10.17706/ijeeee.2018.8.1.51-57

Self-efficacy Evaluation Survey on Chinese Employees: Case of Electronics Limited Company “X1” (Shenzhen)”& Investments Company Limited “X2” (Beijing)

Rodrigue Againglo, Jun Shan Gao, Karani N. Nyachiro
Abstract—Psychologists in general, show interest in personal causation—how people organize, plan and bring change in their lives, how confident people feel and face new challenges. This research aims to investigate on employees’ self-efficacy level in Chinese companies. It provides major points employees need in the development of their abilities. Questionnaires are provided for employees in “X1” and “X2” respectively Electronics Co.; Ltd, (Shenzhen) and Investment Management Co.L.td” (Beijing). We use excel to analyze the results obtained.
The findings are significant and motivational. More than 90% of employees have positive level of self-efficacy to perform task given. The more employees in the companies, the lower self-efficacy on their tasks. Employees’ level of self-efficacy plays a critical role and impacts on performance in the organizations. This study indicates a relationship between given tasks among employees—the high number of employees in an organization tends to reduce self-efficacy’s level, and negatively influences on performance. This survey’s limitations derived from unavailability of sufficient funds and language barriers. But questionnaire was orally translated in Chinese.

Index Terms—Employees’ performance, motivational theory, organization, self-efficacy.

The authors are with University of Science and Technology Beijing, 30 Institute road, 100083, China (email: 1196928602@qq.com).

Cite: Rodrigue Againglo, Jun Shan Gao, Karani N. Nyachiro, "Self-efficacy Evaluation Survey on Chinese Employees: Case of Electronics Limited Company “X1” (Shenzhen)”& Investments Company Limited “X2” (Beijing)," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 8, no. 1, pp. 51-57, 2018.

General Information

ISSN: 2010-3654
Frequency: Quarterly (Since 2015)
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Mr. Ron C. Wu
Abstracting/ Indexing: Engineering & Technology Digital Library, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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