The company's technology implementation is inseparable from employees' ability to operate and use it optimally. Therefore, companies must maintain a developed and adequate process knowledge management according to the latest needs to improve performance while considering environmental impacts. This study investigated the role of knowledge management in adopting production technology, supply chain integration, and green supply chain toward firm performance. The study surveyed the manufacturing industry in East Java that has implemented green supply chain management, with respondents having at least two years of experience working. Respondents have filled in as many as 115 questionnaires considered valid from the 145 questionnaires received. Data processing used the partial least squares software 4.0 version. The result indicated that knowledge management significantly influenced production technology, supply chain integration, and green supply chain adoption. However, knowledge management does not influence firm performance directly. Production technology enables supply chain integration, green supply chain adoption, and firm performance. Furthermore, supply chain integration affects green supply chain adoption and firm performance. Moreover, the result indicated that supply chain adoption directly influences the firm’s performance. The practical implication of the results enlightens the managers and top management on the importance of updated technology and knowledge for employees, enabling the adoption of supply chain integration and green supply chain in the pursuit of enhanced firm performance. These results enrich the current research in supply chain management theory.

This research aimed to study the factors affecting the supply chain efficiency of water tourism entrepreneurs in the Northeast provinces of Thailand around the Mekong River Basin. A questionnaire was distributed to and subsequently collected from 246 samples in 7 provinces including Loei, Nong Khai, Bueng Kan, Nakhon Phanom, Mukdahan, Ubon Ratchathani, and Amnat Charoen by proportional allocation and convenience sampling using Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) by ADANGO. According to the results, it was found that customer orientation directly affected the supply chain efficiency of water tourism. Knowledge management directly affected the supply chain efficiency of water tourism and supply chain marketing implementation capability as a transmission factor for the supply chain efficiency of water tourism. For these reasons, water tourism entrepreneurs should focus mainly on customer orientation with full-service efficiency. Internal management should be planned as well, e.g., communication training, service training and cultural revitalization of communities around tourist attractions through cooperation with involved agencies, which will enhance the supply chain efficiency of water tourism.

There is a lot of evidence regarding air flight accidents caused by human error, especially air traffic controllers (ATC). On the other hand, the principle of work safety through safety performance can help organizations reduce the number of work accidents and create zero accidents in the aviation industry. This research aims to analyze the effect of leadership on safety culture and safety performance by investigating the mediating role of Safety Based Dynamic Uncertainty Reduction (SDUR) as an integral aspect in safety research. A total of 214 respondents were involved in this research. The analysis technique used in this study is Partial Least Square-Structural Equation Modeling (PLS-SEM). The results showed significant effects of leadership on safety culture and safety performance. The mediating analysis also reveals the significant effects of SDUR in strengthening the impact of leadership to safety performance. As implications, SDUR can be considered as an effective strategy in improving Safety Performance in the workplace.

This study aims to explore the application of financial supply chain management on agricultural product trade, and an example simulation case that Thai durian exports to China. After collection of variables and relationships in previous literature, a model of durian trade supply chain with material flow and cash flow has been created. As a result of the simulation, we found that cash flows of downstream participants are strongly higher than the upstream, which is partly proving that the downstream participants have more opportunities to invest upstream for intervention. Besides, we suggest government agencies, business sector, and financial institutions should strengthen communication and cooperation to maintain stability of current Thai durian trade supply chain, meanwhile, remain on high alertness to postharvest, delivery delays and durian demand to prevent the impact of supply chain disruption on cash flow.

The global supply networks have been disrupted and weak connections exposed to an extent that few people have ever seen in their lifetime due to the COVID-19 epidemic. As a result of the severity of the crisis, every country and industry is feeling the effects, and the massive shifts in demand and supply that have happened throughout the epidemic are easily distinguishable from the effects of previous crises. We looked into the adaptability of alliance management and AI-driven supply chain analytics in the context of an ever-changing external environment. We examined four hypotheses in this area using survey data from the American auto components manufacturing industry. To do the analysis, we used Smart PLS. Alliance management capabilities, mediated by AI-powered supply chain analytics capacity, have been found to increase an organization's operational and financial performance. We also discovered, with environmental dynamics as a moderating factor, that alliance management capability has a substantial impact on AI-powered supply chain analytics capabilities. Based on our findings, we have a deep appreciation for the interplay between dynamic capacities and the relational view of organization. Finally, we pointed up the limitations of our study and offered a number of directions for future investigation that might help address some of the concerns that our results raise.

There are several environmental issues that are in the spotlight globally, including: global warming, depletion of the ozone layer, the greenhouse effect, and acid rain. This problem is a concern and needs serious action for human survival. Supply chain activities are suspected of contributing to environmental damage. The purpose of this study is to analyze the effect of Green Supply Chain Management on competitiveness, the effect of Green Supply Chain Management on Performance and the effect of competitiveness on Performance. The study used quantitative methods and research data were obtained using online questionnaires distributed via social media. The research respondents were managers of manufacturing companies in Indonesia and the number of samples used was 540 respondents who were determined using a purposive sampling technique. Data analysis in this study used Structural Equation Modeling (SEM) and software used for data processing by SmartPLS. The results showed that Green Supply Chain Management had a positive and significant effect on competitiveness, Green Supply Chain Management did not have any positive and significant effect on Performance and competitiveness had a positive and significant effect on Performance.

This study has tried to investigate the impact of knowledge sharing quality on E-supply chain management, with the mediating effect of E-trust. To attain the research purposes, a quantitative approach of research was applied. The needed data was collected from a sample consisting of 281 managers of Fast-Moving Consumer Goods (FMCG) companies in Jordan. A questionnaire was utilized to collect the data. Appropriate statistical analyses were conducted such as scale reliability and validity by using IBM SPSS 21 software. Structural model and hypothesis testing using AMOS software were then utilized. The results have shown that knowledge sharing quality with its main dimensions (usefulness, timeliness, accuracy, and relevance) has positive significant impacts on E-supply chain management. Besides that, E-trust has revealed a significant mediating impact between the studied independent and dependent factors. Other complementary future studies related to the practices of E-supply chain management practices, quality of knowledge sharing, and E-trust in other Jordanian organizations were also proposed.

This study represents a survey data of 466 community-based tourism establishments in the northern provinces of Vietnam such as, Yen Bai, Ha Giang, Tuyen Quang etc., with strongly developed community-based tourism activities based on the technology acceptance model (TAM). The results show that perceived ease of use of e-commerce has a positive and strong impact compared to perceived effectiveness of e-commerce on the intention to apply e-commerce to marketing communication activities in the supply chain of community-based tourism in Vietnam. In addition, if community-based tourism businesses perceive themselves as being modern, it will positively affect the perception of the ease of use and effectiveness of e-commerce, thereby indirectly bringing about a positive impact on the intention to apply e-commerce. Conversely, if they perceive themselves being traditional, it will negatively affect this relationship. Accordingly, this study helps provide practical evidence for promoting the application of e-commerce in tourism in remote, economically difficult areas in Vietnam and elsewhere. Nonetheless, the study remains limited when it has not been done a multi-group analysis to consider different influences of the factors of region, destination characteristics, type of tourism on intention to apply e-commerce for marketing communication activities in community-based tourism establishments.

The purpose of this study is to investigate the impact of supply chain management strategies and management accounting practices on a firm's growth. A conceptual model was designed and two hypotheses were developed. This study is a survey-based methodology in Yemen. It used a simple random sampling technique to collect data from the companies. A final sample of 74 usable surveys were returned from various industries. The OLS regression results showed that supply chain management strategies and management accounting practices impact positively on a firm's growth. The results reported by this study can be valuable for companies’ managements, academicians, accountants, and supply chain practitioners to deeply understand the extent to which supply chain management strategies and management accounting practices influence a firm's growth.

This paper addresses the sustainable closed-loop supply chain (SCLSC) design problem regarding selecting a supplier under total quantity discount with demand uncertainty and logistic flow uncertainty. The proposed model considers the three pillars of sustainability: the economic, environmental, and social realms. The model deals with the costs incurred by products-related manufacturing and minimizes the carbon dioxide emissions resulting from different manufacturing processes, as well as the attendant rate of injuries among the workers. Python edition 2019-07 software with the SCIPY solver was used to solve the model, using a sequential least squares programming algorithm (SLSQP) to obtain optimal solutions. A numerical study was conducted to validate the model. A sensitivity analysis was conducted to address the effects of both types of uncertainty on the optimal solution. It was found that the effect of a high rate of demand uncertainty is more severe than the effect of the uncertainty of the flow logistics in the reverse direction since the former generated a lower value of the optimal solution than the worst-case scenario generated by the uncertainty budget. Moreover, the higher the weight of environmental and social objectives, the higher the proportion of recycled products from the total production. This study proposes a robust optimization model for an SCLSC that considers two types of uncertainty: the uncertainty budget that is used for the logistics flow in the reverse direction for refurbished and redesigned products and the box of uncertainty that is used to address the demand uncertainty.