Guidelines for Preparation for Social Standard Responsible Certification of Industrial Business

Abstract

This study aims to examine the guidelines for preparedness in obtaining certification for social responsibility standards within the industrial sector and to develop a corresponding structural equation model. A mixed-methods approach was employed, combining both qualitative and quantitative research. The qualitative phase involved in-depth interviews with 9 experts and focus group discussions with 11 specialists, while the quantitative phase surveyed 500 industrial business executives using questionnaires, with analyses based on descriptive statistics, inferential statistics, and multivariate statistical methods. Results indicated that the four most significant factors in study guidelines for preparedness in obtaining certification for social responsibility standards within the industrial sector can be prioritized into four key components: 1) Industrial Management (X̅ = 4.22, SD = 0.730), with the most important aspect being the maintenance of customer relationships through effective services, support, and activities that enhance customer connectivity and loyalty. 2) Leadership (X̅= 4.22, SD = 0.732), where the critical factor is adapting tools and machinery to improve operational efficiency. 3) Social Responsibility (X̅= 4.20), highlighted by the clear communication of the organization’s vision and goals to its employees. 4) Knowledge Management (X̅ = 4.07) emphasizes the development of an organizational culture that fosters continuous learning about social responsibility. The hypothesis testing indicated that there is no statistically significant difference (at the 0.05 level) between small and medium-sized enterprises and large businesses in terms of their prioritization of these preparedness guidelines for preparedness in obtaining certification for social responsibility standards within the industrial sector. The analysis of the developed structural equation model demonstrated a good fit with the empirical data, as evidenced by a chi-square probability of 0.090, a chi-square relative ratio of 1.150, a comparative fit index of 0.955, and a root mean square error of approximation of 0.048.