This study aims to analyze the influence of contextual factors, government role, implementation of corporate social responsibility, and competency on competitiveness of wood craft Small Medium Industries (SMI) in Bali Province, Indonesia. The renewal of this research is to include the implementation of CSR in order to improve business competencies and competitiveness of SMIs. A sample of 152 respondents from the wood crafts SMIs in Bali Province. The research approach used is quantitative (positivist) and the type of research is exploratory with a questionnaire as a method of data collection. Partial Least Square as a data analysis tool is used. The results of the study show that: contextual factors, government role, and CSR implementation had positive and significant effects on competencies and competitiveness of SMIs. Contextual factors have the smallest influence on business competencies and competitiveness when compared with other variables in the study.

The features of a holistic view in an organization create the data value of the Business Intelligence (BI) and Knowledge Management (KM) in viewing the big picture of organizational performance diagnostics framework. This research focuses on the specific features of railway supply chain performance in viewing the decision-making process and creating better knowledge formation. The intention of the study is to structure supplier performance using BI-KM framework development to determine holistic perspective factors. The outcomes indicate that BI and KM significantly increased the railway supply chain and significantly increased the information system. This BI-KM framework relates the current analytic characteristics in designing the railway supply chain towards information system in determining the strategic theme of the decision-making process of the decision support system together with system features, characteristics of data, the content of the themes, and the effect of the decision-making process and for executive strategic performance diagnostics tool that provides effective strategic decision making in supply chain performance. The quantitative research method uses SmartPLS software version 3.2.8 for empirical analysis through distributing survey questionnaires to 320 railway suppliers in Malaysia. Using a model-driven development framework, to measure the implementation success of the decision support system, the study is conducted in the railway supplier focusing on strategic management that helps to make the decision and facilitate the organizational success.

The objective of this study is to assess the joint effect of corporate entrepreneurship (CE) and supply chain management (SCM) strategies on firm performance in the circumstance of Saudi Arabian manufacturing firms. This is interesting in the sense that while previous scholars have focused on CE and SCM separately, the combinative aspect of the two particularly in nonwestern countries seems still to be short of attention. In this respect, this paper attempts to apply a resource-based view and suggest that CE and SCM complement each other and in the end performance of the firm will be increased. Out of the 84 Saudi manufacturing firms covered in the structured survey, data was analyzed using Ordinary Least Squares (OLS) regression. The results indicate that CE, particularly dimensions such as new business venturing, product innovation, technological entrepreneurship, mission reformulation, reorganization and system-wide changes, significantly enhances firm performance. Additionally, SCM strategies were found to have a positive and statistically significant impact on firm performance, highlighting the critical role of effective supply chain management in operational efficiency and competitive positioning. The findings contribute to the literature by providing empirical evidence from a Middle Eastern context, thereby enhancing the generalizability of existing theories on CE and SCM. The study also offers practical implications for managers and policymakers, suggesting that aligning CE initiatives with SCM strategies can drive sustained competitive advantage. These insights are particularly relevant for firms operating in emerging markets, where economic reforms and diversification efforts, such as Saudi Arabia's Vision 2030, necessitate strategic innovation and supply chain optimization.

This research approaches and used the 2013 Internal Control-Integrated Framework issued by the Committee of Sponsoring Organizations of the Treadway Commission (COSO) with a view to assessing the impact of the factors: (1) Control environment, (2) Risk assessment, (3) Information and communication, (4) Control activities and (5) Monitoring on the effective-ness of internal control at cement companies. The research was carried out through a survey of 210 managers and employees at Vietnamese cement companies with the support of SPSS software and assessed scale reliability through using the Cronbach`s Alpha coefficient and the method of exploratory factor analysis (EFA). The research results show that the factors above had positive relationship with the effectiveness of internal control. Also, on such basis, the author gave recommendations for maintaining and promoting the effectiveness of internal control to managers at cement companies.

Designing a production process normally is involved with some important constraints such as uncertainty, trade-off between production costs and quality, customer’s expectations and production tolerances. In this paper, a novel multi-objective robust optimization model is introduced to investigate the best levels of design variables. The primary objective is to minimize the production cost while increasing robustness and performance. The response surface methodology is utilized as a common approximation model to fit the relationship between responses and design variables in the worst-case scenario of uncertainties. The target mean ratio α is applied to ensure the quality of the process by providing the robustness for all types of quality characteristics and with a trade-off between variability and deviance from the ideal point. The Lp metric method is used to integrate all objectives in one overall function. In order to estimate target value of the quality loss by considering production tolerances, the process capability ratio (Cpm) is applied. At the end, a numerical chemical mixture problem is served to show the applicability of the proposed method.

The objective of the article is to evaluate the role of laws and regulations on food safety in the implementation of food safety laws in Vietnam. Food safety regulations through business orientation, supply chain dynamic capabilities, and supply chain integration aim to ensure food safety and improve firm performance in Vietnam. Research data analysis is based on 389 food firms and the data are analyzed through Smart PLS 3.3.0 software. The results show the important role of food safety law in the implementation of food safety assurance of food enterprises. At the same time, supply chain dynamics and supply chain integration are also factors that have a statistically significant positive impact on the food safety performance of food enterprises in Vietnam.

This study investigates the critical role of information technology integration in enhancing project risk management, specifically examining the mediating effect of risk identification effectiveness. Based on a quantitative approach, the study collected data from 173 respondents working in the construction, engineering, and telecommunication sectors using a comprehensive questionnaire. We employed Smart PLS-SEM for data analysis to test the study hypotheses. Our findings reveal that IT integration significantly and positively influences both risk identification effectiveness and overall project risk management. Importantly, the study confirms the mediating role of risk identification effectiveness, indicating that IT's contribution to successful project risk management is significantly enhanced when it empowers teams to identify potential risks early and accurately. These findings indicate the strategic importance for organizations in these sectors to prioritize investments in IT solutions that not only streamline project management processes but also specifically enhance risk identification capabilities. Discussion and conclusion were depicted at the end of work.

This study aims to evaluate the performance of microfinance institutions and local wisdom-based management concept. Quantitative approach is used in this study. The data analysis technique used in this study are quantitative and qualitative data analyses, which include the stakeholders and key performance indicators (KPI). Analytical Hierarchy Process (AHP) tech-nique is used to determine the quality, Objective Matrix is used for scoring, and Traffic Light System is used for grouping in colors. The results of the study show that not only strategies, processes, and capabilities influence on the Lembaga Perkreditan Desa (LPD) (village credit institution) of Depeha Village, but also the stakeholder’s satisfaction and contributions also influence the LPD. The strategy formulation is carried out by the LPD based on the stake-holders’ determinants of satisfaction and Catur Purusa Artha concept (a traditional philosophy for life by Balinese Hinduism which means four goals in human life).

Integrating project management (PM) and sustainable development (SD) is not merely an option but a necessity for smart cities (SC) to secure a prosperous future for the next generations. Also, useful PM plays a vital role in fostering sustainable growth within SC, as it enhances the quality of life, conserves natural resources, and encourages technological creation. Therefore, this study aimed to examine the significance of PM in advancing the SD of SC. Randomly 189 questionnaires were distributed to possible respondents working in PM by email, hardcopy mailings, and web-collection apps. The statistical analysis was carried out using SPSS version 25, by using a quantitative research approach. The results showed that all study variables (smart technologies company policies, resource management, and organizational culture) positively impacted smart cities' SD. Therefore, the study recommends enhancing the incorporation of PM and SD in SC by implementing effective processes and technologies that connect harmoniously with technological advancement and environmental and social sustainability.

In recent years, the issue of food packaging waste has become a vital environmental concern in the society which revolves around waste management practices particularly among food hawkers. The problem has been highlighted by many researchers and numerous suggestions have been made in order to improve sustainability with regard to green environment. Food packaging waste ranks the highest contributor to waste. Thus, environmentally friendly food packaging (EFFP) has been introduced in the market to ensure good management practices could be promoted among food hawkers so that environmental pollution can be reduced. However, even though many environmental programs have been implemented, the usage of EFFP among food hawkers has not improved. Hence, this paper aims to propose a specific actual behavior model to determine the usage of EFFP among food hawkers with personal value as a mediator. The development of the model used data that were collected from local food hawkers. Structural equation modeling was used to test related hypotheses. The findings indicated that personal values were a suitable mediator construct. Furthermore, attitudes, subjective norm, and perceived behavioral were all found to have had significant effects on the in-tention to use and the actual behavior. Finally, this paper also discusses the limitations of the present study and the contribution it has made.