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The Mode of School-Enterprise Cooperation to Solve the Talent Dilemma of Small and Micro Enterprises

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DOI: 10.23977/aduhe.2022.041406 | Downloads: 8 | Views: 442

Author(s)

Ying Wang 1

Affiliation(s)

1 Haojing College of Shaanxi University of Science & Technology, Xi'an, Shaanxi, China

Corresponding Author

Ying Wang

ABSTRACT

The rapid development of modern society and the rapid progress of science and technology have put forward higher requirements for talents in terms of both quality and quantity. At the same time, in the basic formation of China's socialist market economy system, intensified the competition of modern enterprises, how to get out of the talent dilemma has become a common problem for many enterprises. The purpose of this paper is to study the mode of solving the talent dilemma of small and micro enterprises based on school-enterprise cooperation. The paper analyses the growth strategy of micro and small enterprises and the effective mode of school-enterprise cooperation in solving the talent dilemma of micro and small enterprises, and takes College M as an example to analyse its effect in the process of "school-enterprise cooperation". The results of a questionnaire survey of students in College M show that most of the students, after practicing in the enterprise, agreed with the enterprise culture and management mode, which greatly helped to solve the talent dilemma of micro and small enterprises.

KEYWORDS

School-enterprise Cooperation, Small and Micro Enterprises, Talent Dilemma, Growth Strategy

CITE THIS PAPER

Ying Wang, The Mode of School-Enterprise Cooperation to Solve the Talent Dilemma of Small and Micro Enterprises . Adult and Higher Education (2022) Vol. 4: 36-42. DOI: http://dx.doi.org/10.23977/aduhe.2022.041406.

REFERENCES

[1] Ahmed El-Deeb. The Human Side of the Tech Industry: Key Drivers behind the Tech Talent Dilemma. ACM SIGSOFT Softw. Eng. Notes 47(1): 10-11 (2022)
[2] Hamza Ladeg, Rachid Chalal. New architecture of enterprise social networks for knowledge sharing within engineering school. Int. J. Knowl. Learn. 15(1): 16-34 (2022)
[3] Mohammad Nabil Almunawar, Anizzah Auzzali, Nur'Amalina Haji Oseli, Wan Zaleha Ariff Md Zain Ariff. E-Commerce Adoption among Micro, Small, and Medium Enterprises in Brunei Darussalam. Int. J. E Bus. Res. 18(1): 1-18 (2022)
[4] Mahesh S. Kavre, Bhaskar B. Gardas, Vaibhav S. Narwane, Nima Jafari Navimipour, Senay Yalçin: Evaluating the Effect of Human Factors on Big Data Analytics and Cloud of Things Adoption in the Manufacturing Micro, Small, and Medium Enterprises. IT Prof. 24(4): 17-26 (2022)
[5] Alejandro J. Cataldo, Gabriel Pino, Robert J. McQueen. Size matters: the impact of combinations of ICT assets on the performance of Chilean micro, small and medium enterprises. Inf. Technol. Dev. 26(2): 292-315 (2020)
[6] Adebowale Owoseni, Hossana Twinomurinzi. Evaluating mobile app usage by service sector micro and small enterprises in Nigeria: an abductive approach. Inf. Technol. Dev. 26(4): 762-772 (2020)
[7] Marjeta Marolt, Hans-Dieter Zimmermann, Anja Znidarsic, Andreja Pucihar. Exploring Social Customer Relationship Management Adoption in Micro, Small and Medium-Sized Enterprises. J. Theor. Appl. Electron. Commer. Res. 15(2): 38-58 (2020)
[8] Diana Rojas-Torres, Nir Kshetri. Big Data Solutions for Micro-, Small-, and Medium-Sized Enterprises in Developing Countries. IT Prof. 21(5): 67-70 (2019)
[9] Tessa Borgonjon, Broos Maenhout. An exact approach for the personnel task rescheduling problem with task retiming. Eur. J. Oper. Res. 296(2): 465-484 (2022)
[10] Christina Ling-hsing Chang, Sheng Wu. The Circumplex Model for Structuring Career Anchors of the IT/IS Personnel. J. Glob. Inf. Manag. 30(1): 1-27 (2022)
[11] Muhammad Anshari, Mohammad Nabil Almunawar, Abdur Razzaq. Developing Talents vis-à-vis Fourth Industrial Revolution. Int. J. Asian Bus. Inf. Manag. 12(4): 20-32 (2021)
[12] Peide Liu, Mengjiao Shen, Witold Pedrycz. MAGDM Framework Based on Double Hierarchy Bipolar Hesitant Fuzzy Linguistic Information and Its Application to Optimal Selection of Talents. Int. J. Fuzzy Syst. 24(4): 1757-1779 (2022)

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