: At present, the total revenue of plastic production in the plastic industry is continuously decreasing. The purpose of this study was to investigate the business practices of the environmentally friendly plastic industry in the digital era and then develop it into a structural equation model. Then it was developed into a structural equation model. Both qualitative and quantitative methods were integrated into this research. The quantitative data were collected with questionnaires from 5 0 0 executives of plastic industry businesses. Descriptive, referential, and multivariate statistics were used to analyze the data. It was found that there were 4 components prioritized as follows: 1 ) Marketing Orientation (𝑥̅= 4 .2 8 ), 2 ) Innovation (𝑥̅= 4 .1 7 ), 3 ) Resources (𝑥̅= 4.15), and 4) Business alliances (𝑥̅= 4.15), respectively. The detailed item found most important in each element was: explore new markets for environmentally friendly plastic products to expand business opportunities, study and develop new raw materials durable for reuse, provide a process of using used plastic products to produce new products to add value, and collaborate with various business groups to improve practice guidelines under the concept of 3R to be environmentally friendly. As for the hypothesis testing, it was found that small, medium and large businesses differently recognized the importance of the studied guidelines at the statistical significance level of 0 .0 5. The analysis of the developed structural equation model revealed that it passed the assessment criteria and was consistent with the empirical data. The calculated values of the probability of chi-square, the relative chi-square, the index of consistency, and the root mean squared error of approximation were 0.101, 1.128, 0.960, and 0.016, respectively.

Micro, small, and medium-sized enterprises (MSMEs) are important in driving a country’s economy and cover the entire manufacturing sector. Therefore, entrepreneurs with specific characteristics are needed for MSMEs to be successful. This study analyzed the exploratory components of entrepreneur characteristics in sustainably successful MSMEs. Data from interviewing 500 entrepreneurs who successfully operated MSMEs were analyzed using descriptive, referential, and multivariate statistics. Analysis of the entrepreneur characteristics’ exploratory components revealed that their Kaiser-Meyer-Olkin index was 0.969, and eigenvalues after axis rotation were 6.545–8.899. Four components were extracted: leadership, personality, management skills, and morality/ethics. Entrepreneurs’ characteristics in sustainably successful MSMEs include the ability to prioritize tasks appropriately, punctuality, people management skills, consideration of non-violation of rights, and non-imitation of others.

Due to the slowdown of the world economy, the growth of the world's automobile manufacturing industry has declined. As a result, the production rate of automotive parts tends to decrease as well. The objective of this study was to investigate the guidelines for managing the automotive parts manufacturing for sustainable success. The study was conducted qualitatively and quantitatively. The results of the study revealed four components of the management of the automotive parts manufacturing industry; namely, 1) development of servitization, 2) development of organization, 3) development of labor skill, and 4) development of technology. As for the analysis of the second-order confirmatory factor model developed, it was found that the model passed the assessment criteria and was consistent with the empirical data.

The objective of this research was to develop guidelines on the prevention of offenses under Thailand’s computer-related crime act for industrial business. This research was conducted both qualitatively and quantitatively. Quantitative data were obtained from a questionnaire survey with 500 IT executives in the industrial sector. The data analysis employed descriptive, inferential, and descriptive statistics. The results found that guidelines on the prevention of offenses under Thailand's computer-related crime act for industrial business can be prioritized in all four components as follows: 1) morality (X̅ = 4.21), 2) workforce (X̅ = 4.18), 3) internal control (X̅ = 4.16), and 4) punishment (X̅ = 4.14). The hypothesis testing revealed that large, small, and medium-sized industrial businesses gave a significant difference to guidelines for the prevention of offenses under Thailand's computer-related crime act at a statistically significant level of 0.05. The results of the developed structural equation modeling showed that all values were above the evaluation criteria and consistent with the empirical data. The chi-square probability level value was 0.092. The relative chi-square was 1.134. The conformity index was 0.960. The root index of the squared mean of the error estimation was 0.016.