Prevention of labor employment risk using fuzzy inference systemin China-invested enterprises in Central and Eastern Europe under belt and road initiative
Issue title: Ethical Computational Intelligence for Cyber Market
Guest editors: Oscar Sanjuán Martínez, Giuseppe Fenza and Ruben Gonzalez Crespo
Affiliations: Research Center for International Business and Economy, Sichuan International Studies University, Chongqing, China
Correspondence:
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Corresponding author. Xun Li, Research Center for International Business and Economy, Sichuan International Studies University, Chongqing, China. E-mail: [email protected].
Abstract: The “Belt and Road” initiative (BRI) enhances the cooperation between China and countries in Central and Eastern Europe (CEE), and expands the scale of China-invested enterprises in CEE countries continuously. But it also results in the increase in investment risks. Meanwhile, large differences between the international labor market and the domestic employment environment have led to the inadaptability of some enterprises’ overseas employment policies, triggering many labor disputes, and producing adverse effects on their overseas business expansion. To resolve the problems, this paper attempts to study the measures to prevent labor employment risks using fuzzy inference system for China-invested enterprises in CEE. For this, it performs analysis for the scale, structure, labor quality, wages and benefits, and labor law system of labor employment in CEE countries, and proposes to prevent and resolve the labor employment risks by strengthening government labor cooperation, familiarizing with local labor law systems, and respecting local management culture etc.
Keywords: Belt and road initiative, investment, Central and Eastern Europe, labor employment risk, prevention, fuzzy Inference system
