Supply chain risks hinder the cooperation among members, negatively affecting the supply chain and enterprises’ performance. This study applies structural equation modeling (SEM) to demonstrate the relationship between risk, supply chain performance, and business performance in the Mekong Delta, Vietnam. Research data were collected from 142 rice enterprises. The result demonstrates that risks occurring in the supply chain negatively influenced the performance of the rice supply chain and the performance of rice enterprises. Besides, the study shows that rice supply chain performance positively impacts on rice business performance in the Mekong Delta, Vietnam.

The enablers of Big Data Analytics (BDA) on the BDA adoption intention of consumer goods’ retailing firms were measured in this study along with innovation culture as a moderator. Based on a literature review, six BDA adoption intention enablers: financial readiness, perceived advantages, top management support, IT infrastructure, technology sophistication, and data quality were identified. The study collected data from different levels of managers in the consumer goods’ retailing sector in Jordan to test the proposed study framework. To obtain primary data, a quantitative method was used, and a survey (structured questionnaire) was conducted. SmartPLS version 3.3 was used to analyze and test the proposed study model, which included 211 respondents. Three BDA enablers, including perceived advantages, top management support, and IT infrastructure, were found to have a statistically significant effect on BDA adoption intention in their supply chain operations. Furthermore, the relationship between financial readiness and BDA adoption intention was significantly moderated by innovation culture. This research model can be used to determine the challenges and enablers to BDA adoption in supply chain operations for both developed and developing countries. Future research may replicate the model in various sectors or the same sector in different countries.

The aim of the current study is to examine the effects of competitive advantage and digital marketing on tourism business performance (BP). The indirect effect of supply chain management (SCM) is also considered by the current study. Quantitative research approach is used and data collection is made through a survey instrument. 225 responses were received and used in data analysis to examine the relationship between variables. Five direct effect hypotheses and two indirect effect hypotheses are tested in this study. Smart PLS is used to test the direct and indirect relationship. It is found that; competitive advantage has a positive effect on BP. It also has a positive effect on SCM. Furthermore, digital marketing has a positive effect on BP. Similarly, digital marketing has a positive effect on SCM. Additionally, SCM is a mediating variable between competitive advantage and BP of the tourism industry.

Adopting the Supply Chain Operations Reference (SCOR) model, this study aims at investigating the impact of big data (volume, velocity, variety, veracity, and value) on supply chain performance through the mediating role of supply chain management (plan, source, make, deliver, and return) assuming four hypotheses. Data were collected using a questionnaire from managers of food processing companies. The results showed that big data affected supply chain management significantly and positively, which in turn affected supply chain performance significantly and positively. In addition, big data exerted a significant and positive impact on supply chain performance. Based on these links, it was found that supply chain management mediated significantly the effect of big data on supply chain performance. The study contributes to the literature showing that big data plays a pivotal role in improving supply chain performance and supply chain performance from the SCOR model perspective is critical for the relationship between these two constructs.

The aim of this research is to examine the impact of supply chain management through social media on competitiveness of the private hospitals in Jordan. The population of the study includes managers in various administrative disciplines. Therefore, the complete census method was used in this research to collect the primary data, where the total responses were 438 responses were used for analysis. The questionnaire was used as a basic instrument in the current research, as it was designed electronically through Google Forms and sent to the research sample via email. AMOS software was used to test the research hypotheses. The results showed that all dimensions of supply chain management through social media had a positive impact on competitiveness; the greatest effect was for strategic relations with suppliers. Based on the study results; managers at the examined companies should enhance their usage of social media with suppliers, according to the report, in order to support strategic connections with them.

This paper aims to examine what factor relevancy influences consumers’ preference to use online food delivery platforms in Thailand. Further, it investigates consumers' behavior during the covid-19 pandemic. A questionnaire was used to examine a sample of 400 Thai consumers who were using online food delivery platforms. Collected data were analyzed using a statistical package program in 3 steps: Confirmatory factor analysis, path analysis, structural equation model analysis (SEM). Thai consumers increasingly used food delivery on online platforms during the covid-19 epidemic. The study also found that the platform's ease of use, the food delivery service fees, offers or privileges, and payment security on online food delivery platforms influenced consumers’ future use of online food delivery platforms. The food delivery service fees are the most influential factor in using online food delivery platforms. Future research can explore the role of using online food delivery platforms and their impact on the online food delivery platforms. Online food delivery platform providers should lower their service fees, always be implementing new promotions, provide various coupon codes, and create games so that consumers can win prizes. The online food delivery platform providers need to develop consumer trust, ensure that payments are secure, and enhance the ease of use of their platforms. This study contributes to the emerging literature related to online food delivery platforms by studying the relevancy factor that influences consumers’ preference to use online food delivery platforms, which are critical for the success of any online food delivery platform provider.

This study investigated the impact of supply chain ambidexterity on supply chain performance (SCP) under uncertainties. The dynamic capability theory of firms was adopted in the supply chain to design a research framework that recommends a supply chain strategy under uncertainties pertaining to inter-island logistics in Indonesia. This study involved the survey of 140 large-scale companies delivering products across the Indonesian islands to identify the supply chain uncertainties by analyzing data using SmartPLS. The supply chain ambidexterity (SAM) was identified to exhibit no direct correlation with SCP; however, agile supply chain (ASC) and lean supply chain (LSC) could indirectly relate the SAM and SCP. For supply chain professionals, the results indicated that SCP cannot be achieved solely through SAM, thereby necessitating the development of LSCs and/or ASCs, driven from SAM, to achieve SCP. Thus, this study empirically confirmed ASC and LSC to be effective practices for mitigating supply chain uncertainties by mediating supply chain ambidexterity on SCP.

This article analyses how innovative management methods including collaborative networks, digital marketing, service quality, and supply chain management can bring increased potential performance for cultural tourism in the northeast of Thailand. To reveal the preconditions and factors like innovative management, service quality, digital marketing, and supply chain management that enable cultural tourism performance in Thailand's northeast, a survey was done utilizing a questionnaire and a simple random approach with key informants such as tourists. The findings imply that encouraging performance is dependent on innovative management, service quality, digital marketing, and supply chain management in cultural tourism.

This research aimed to examine the effect of the model of Corporate Social Responsibility (CSR) Programs on SME Innovation (SI) by involving Entrepreneurial Orientation (EO) as the mediating variable. This quantitative research used a Structural Equation Model (SEM) analysis technique with SEM-PLS 3.2.9 software. Respondents in this research were small businesses as mitra binaan of the Oil and Gas SOE in Wast Java Province, consisting of 87 small businesses or enterprises engaged in fashion, food, beverages, toys, and educational props. Sampling was done using a purposive random sampling technique. The results showed that CSR programs had a significant direct effect on Entrepreneurial Orientation and SME Innovations. It was also found that Entrepreneurial Orientation was significantly and directly correlated with SME Innovations. CSR programs had a significant indirect effect on SME Innovations through Entrepreneurial Orientation. The study confirmed that CSR programs impacted SME Innovations by involving entrepreneurial orientation to strengthen the influence of CSR programs on small businesses.

This study examines the success drivers of Supply Chain Performance (SCP). This study aims to examine the interrelationships among various proposed success drivers of SCP that were analyzed individually or collectively in some previous studies. Four proposed forces have been identified in this study including organizational culture, SC relationships, SC integration, and SC innovation. SC integration is seen as a mediating factor between SC relationships and SCP. Using a deductive and quantitative approach that is based on collecting data from (17) companies in the field of logistics using an online survey, the study focuses on four success drivers including organizational culture, SC innovation, SC relationships, and SC integration. Smart PLS 3 software was applied to analyze the data based on the use of Structural Equation Modelling (SEM). The findings confirm that organizational culture and SC innovation have a direct significant impact on SCP. Regarding the mediating role of SC integration, the finds confirmed that SC integration mediates the relationship between SC relationships and SCP. A set of implications and recommendations for decision-makers and researchers are proposed based on the empirical findings of the current study. SC managers must first consider organizational culture and try to create positive supportive cultural attributes. A culture that encourages openness to change, sharing of knowledge, and collaboration seems a necessity to further improve SCP. Additionally, as the study findings emphasized the significant impact of SC innovation, SC managers should encourage innovative initiatives and behavior.