Abstract
PurposeThis study empirically tests a model of human capital (HC) factors affecting the organisational competitiveness (OC) of automotive parts suppliers in the Industry 4.0 framework, including concepts such as Toyota Kata (TK), Kaizen and Quality 4.0, during the coronavirus disease 2019 pandemic.Design/methodology/approachAn instrument was created to measure emotional intelligence (EI) and analytical skill (AS) as input variables and OC as the output variable. The instrument was distributed electronically to Tier 1 non-technical employees in Nuevo León and Querétaro, México. A total of 195 surveys were obtained. The instrument used stepwise multiple linear regression.FindingsThis study proposes a model to strengthen the OC of Tier 1 automotive parts supply industry from the perspective of HC factors. Furthermore, it is shown that EI and AS have a positive and significant impact on OC.Practical implicationsFrom an HC perspective, this study provides a useful basis to improve OC for researchers, industry experts and managers at different levels of the automotive industry, including the triple helix (academia, industry and the government).Originality/valueNo studies simultaneously test the relationship of EI and AS to OC; therefore, this study fills a gap in the literature. Furthermore, the study explored the literature on individual Kaizen (IK) and TK, leading to a contrast between the definitions of EI and AS. Finally, for EI, a reference to motivation was found in the IK. In the case of AS, an orientation to ability of problem solving was found in TK.
Subject
Strategy and Management,General Business, Management and Accounting,Business and International Management,General Decision Sciences
Reference88 articles.
1. Álvarez, M.de L. (2020), “Industria 4.0 y participación de organismos intermedios en el sector automotriz en México”, in Valdez, P. y (Ed.), Industria 4.0 en México. Elementos diagnósticos y puesta en práctica en sectores y empresas, 1st ed., Universidad Autónoma de México, pp. 101-113.
2. Quality 4.0: big data analytics to explore service quality attributes and their relation to user sentiment in Airbnb reviews;International Journal of Quality and Reliability Management,2023
3. Quality 4.0 conceptualisation and theoretical understanding: a global exploratory qualitative study;The TQM Journal,2022
4. Quality 4.0 and its impact on organizational performance: an integrative viewpoint;The TQM Journal,2022
5. Expanding competitive advantage through organizational culture, knowledge sharing and organizational innovation;Technology in Society,2021