Acceso usuarios
Objective: Approaches to achieving work-life balance in industrial organizations during the digital era are investigated, with the aim of developing a structural equation model to enhance managerial effectiveness and competitiveness.
Theoretical Framework: Survey research and mixed-methods statistical frameworks are employed, integrating qualitative and quantitative data to explore work-life balance in industrial organizations. Descriptive, inferential, and multivariate statistics are used to assess relationships and evaluate structural equation model's fit with the data.
Method: Qualitative research is conducted through in-depth interviews with 9 experts and focus group discussions with 11 specialists. Quantitative research is conducted via a survey of 500 industrial business executives. Data are analyzed using descriptive, inferential, and multivariate statistics.
Results and Discussion: Four key components to achieving work-life balance are identified: 1) Discipline and Motivation (X̅ = 4.32), 2) Innovative Activities (X̅ = 4.31), 3) Work Environment (X̅ = 4.29), 4) Organizational Support (X̅ = 4.22). A significant difference (p < 0.05) in approaches is revealed between small-to-medium sized businesses and large organizations. Statistical analyses indicated the structural equation model met the evaluation criteria and aligned well with observational data.
Research Implications: This research provides practical guidance for implementing effective work-life balance strategies in industrial organizations while advancing theoretical understanding of key factors influencing employee morale, productivity, and competitiveness.
Originality/Value: This study contributes to the literature by developing a structural equation model for work-life balance in digital-era industrial organizations, offering new insights into compensation, innovation, and workplace dynamics, with the potential to reshape organizational practices and enhance managerial effectiveness.
