Advanced feature selection to study the internationalization strategy of enterprises

Abstract

Firms face an increasingly complex economic and financial environment in which the access to international networks and markets is crucial. To be successful, companies need to understand the role of internationalization determinants such as bilateral psychic distance, experience, etc. Cutting-edge feature selection methods are applied in the present paper and compared to previous results to gain deep knowledge about strategies for Foreign Direct Investment. More precisely, evolutionary feature selection, addressed from the wrapper approach, is applied with two different classifiers as the fitness function: Bagged Trees and Extreme Learning Machines. The proposed intelligent system is validated when applied to real-life data from Spanish Multinational Enterprises (MNEs). These data were extracted from databases belonging to the Spanish Ministry of Industry, Tourism, and Trade. As a result, interesting conclusions are derived about the key features driving to the internationalization of the companies under study. This is the first time that such outcomes are obtained by an intelligent system on internationalization data.

Is gender-based violence a confluence of culture? Empirical evidence from social media

“…One of many definitions of culture is “a fuzzy set of assumptions and values, orientations to life, beliefs, policies, procedures and behavioural conventions that are shared by a group of people” ( Spencer-Oatey & Franklin, 2012 ). Culture plays a vital role in many spheres of life, such as behaviour ( Huang, Beshai & Yu, 2016 ) economy ( Herrero, Jiménez & Alcalde, 2021 ), language ( Sazzed, 2021 ), attitude ( Shin, Chotiyaputta & Zaid, 2022 ). In order to ease out research based on culture, there have been several quantification of culture.…”

Quality Evaluation of Order-Based Talent Training in Internationalized Enterprises Based on Machine Learning

“…The order-based talent training can greatly reduce the frequency and losses of personnel turnover faced by the enterprises in need of internationalization, and help these enterprises save the human, material, financial, and time resources invested in personnel recruitment, retainment, and cultivation. Nevertheless, the current mode of order-based training has several defects: the teachers lack practical ability, the execution of many orders is not qualified, and the transformation and development of graduates are restrained to a certain extent [16][17][18][19][20][21]. To improve the degree of specialization and employment quality of graduates, it is necessary to effectively evaluate the order-based talent training in internationalized enterprises, which helps to rationalize the training scheme and realize scientific education.…”

“…The success of an enterprise rests on understanding the role of the determinants of internationalization. Herrero et al [21] employed a cutting-edge feature selection method, and compared their findings with previous results to gain insights into strategies of foreign direct investment (FDI). More precisely, the evolutionary feature selector was chosen from the wrapper method, and two different classifiers were adopted as fitness functions: bagged trees and extreme learning machines.…”