Halal food is food whose halal status is regulated by sharia institutions such as LPPOM MUI which is set by the government. The halal status of food must be traced from the process of raw materials, processing, packaging, transportation, and distribution to the final consumer. It is difficult to trace the certainty of halal food, especially beef in Medan City because the supply chain information from upstream to downstream is not transparent. To increase the transparency of beef status and increase consumer confidence, especially Muslim consumers, a distributed and transparent system is needed, where many parties can access the status of food at any time. So Blockchain technology is used to help track the halal status of beef along the supply chain. The purpose of this study is to design a system to obtain information certainty that beef distributed along the supply chain is halal and safe for consumption by utilizing Blockchain technology and to increase public safety and trust in the LPPOM MUI halal certification system. Based on the discussion and research analysis, it is known that the information in the halal beef supply chain in Medan City uses blockchain technology designed with a data security system using smart contracts, where information that has been stored cannot be changed by any party. so that there is a guarantee of information security in the beef supply chain in the city of Medan. This research is expected to support transparency, security, and certainty of information about halal beef in Medan City.

With growing concerns about healthcare services especially during and after the Covid-19 pandemic, hospitals are compelled to provide non-traditional forms of quality services. Total quality management (TQM) practices are gaining attention and becoming a driving force to improve quality performance. This research aims to investigate the impact of TQM practices and quality performance in Jordanian public hospitals. The research used an online survey to collect data from 222 respondents from several public hospitals in Jordan. The results of structural equation modeling (SEM) confirms a positive relationship between supplier quality management, customer focus, and quality performance.

This study aims to examine the effect of entrepreneurial strategy on organizational performance, the effect of social capital on organizational performance with sustainable supply chain management as a mediating variable. Sustainable supply chain management has an important influence on organizational measurement in various industries. It is used in considering environmental impacts and supplier responsibilities. The population in the current study were 390 logistics managers of companies in the manufacturing industry in Indonesia. The sample in this study was taken by purposive sampling, namely the sampling method based on certain criteria and considerations. In this study, hypothesis testing used the Partial Least Square (PLS) analysis technique with the SmartPLS 3.0 application. The data collection technique used is an online survey. The survey was carried out by distributing online questionnaires designed using the 1 to 7 Likert method to managers in the logistics section of the manufacturing industry. The stages of data analysis were to test convergent validity, discriminant validity test, goodness fit model test to meet the R-square value and test the hypothesis. The results show that entrepreneurial strategy and social capital had an influence on organizational performance and sustainable supply chain management. In addition, sustainable supply chain management mediates between organizational performance and entrepreneurial strategy, while social capital sustainable supply chain management does not mediate the organizational performance variables.

This study aimed to examine the effect of integrating Business Intelligence (BI) into the supply chain on supply chain agility, within the Jordanian manufacturing sector. Based on the resource-based view of the firm, this study developed and examined a research model, to achieve its goal. The impact of three dimensions of BI including managerial, technical, and cultural competencies was examined. Using an electronic questionnaire, data was gathered from 462 administrative personnel and employees. Structural equation modeling techniques were employed to analyze the data. Results revealed that the three dimensions of BI have statistically significant positive direct effects on supply chain agility. In addition to that, the results revealed that BI cultural competence has statistically significant positive direct effects on BI technical and managerial competencies. This study contributes to the literature on the role of BI in promoting supply chain agility, from the perspective of a developing country. The findings of this study are expected to help organizations' administrations in making better decisions regarding employing BI to achieve an agile supply chain.

The increasing variety of types of food circulating in Bekasi, has both positive and negative impacts at the same time. The positive impact is the increasing variety of food choices owned by Bekasi residents. In addition, the negative impact is that there is often no guarantee of halalness for the foods offered, both in terms of raw materials, processes and presentations. This study aims to determine the effect of internal control of raw materials and production planning on the smooth process of SMEs, especially based on halal food in Bekasi. The study involved 49 SME entrepreneurs in Bekasi and processed data using the multivariate statistical method and path analysis. The results show that in very specific cases, namely halal food products, internal control and production process planning had a positive influence on the smoothness of the production process and business competitiveness.

The main objective of this research is to examine the effect of environmental concern, subjective environmental knowledge towards green purchasing intentions. Also, this study has examined the moderation role of green skepticism towards these relationships. The population of this research is consumers of green purchasing in Saudi Arabia’s manufacturing industry. The quantitative approach using convenience sampling has been used for data collection. The PLS-SEM using SmartPLS 3.2.8 was used. Environmental concern has a significantly positive effect on green purchasing intention while significantly negative effect on subjective environmental knowledge and lastly, subjective environmental knowledge has significantly positive effect on green purchasing intention. Furthermore, green skepticism does not moderate the effect of subjective environmental knowledge on green purchasing intention and the effect of environmental concern on subjective environmental knowledge; however, green skepticism significantly decreases the effect of environmental concern on green purchase intention. The managers are recommended to provide environmental programs towards consumers that can increase their environmental concerns and lead to gaining proper knowledge and awareness.

This research aims to assess the impact of lean and agile operational strategies on improving order winners in the food service industry in the UAE. Research disclosed a few attributes with a dimensional review of lean and agile strategies that enhance strategic alignment in the food service industry of UAE to achieve the maximum benefits that have never been identified in research before. Data from 85 Sharjah-based food service companies were used for the analysis. A quantitative method with descriptive, causal and exploratory research design was used, along with convenient cluster sampling. A valid sample size of 255 respondents was used to assess the model through regression and ANOVA using SPSS. Research findings show a significant direct impact of lean strategies on order winners, and agile strategies significantly positively impact order winners. In contrast, both variables have a significant direct impact on order winners. This research is limited to assessing the impact of lean and agile strategies to achieve maximum order winners. Future research should consider a manufacturing industry to increase generalizability and a comprehensive focus on the lean and agile dimensional impact on competitive advantage. Customer loyalty and satisfaction lead a business toward order winners. An exemplary implementation of lean and agile strategies can translate into high business performance.

Medium and large industries are vital businesses that have an important role in economic development and growth in Indonesia, with abundant job opportunities available in these industrial sectors. This study aims to examine the effect of supplier integration, internal integration, and relationship management to customer relationships on operational performance and business performance, and the role of operational performance variables as a mediation. The data taken were 210 respondents involved in various industries in Central Java, Indonesia and then analyzed and processed using IBM SPSS Statistic software version 24 and Smart PLS 3.0 (Smart Partial Least Square). The sampling technique used in this study was purposive sampling. Data obtained directly from respondents who met the characteristics of the population determined by distributing questionnaires. Based on the test analysis results, it was found that the supplier integration, internal integration, and relationship management to customer variables had a significant positive relationship on operational performance and business performance. It was also observed that operational performance mediated the effect of supplier integration, internal integration, and relationship management to customer on business performance.

The study aimed at exploring the impact of three smart innovative solutions, i.e., Internet-of-Things, Big Data Analytics, and Cloud Computing on supply chain performance. Collecting data by questionnaires administered to a sample consists of supply chain managers of industrial firms. The results pointed out that these three smart solutions significantly and positively lift firms’ supply chain performance. That is, the hypotheses that Internet-of-Things, Big Data Analytics, and Cloud Computing have significant impacts on supply chain performance were supported. Therefore, the study concluded that for industrial firms to improve supply chain performance, such smart solutions should be assessed and applied. The study contributes to both academics and practitioners through providing empirical results on concurrent impacts of three advanced technologies in supply chain management context.

This research aims to empirically assess the impact of supply chain 4.0 and supply chain risk on organizational performance in the food manufacturing industry in the United Arab Emirates (UAE). Based on empirical evidence, only a few empirical research in supply chain 4.0 have been conducted. Additionally, they stress the significance of supply chain risk management assistance in enhancing organizational effectiveness. A quantitative technique with convenient cluster sampling was used to evaluate the variables. Data from 54 food manufacturing companies based in Ajman, UAE, was used. A sample size of 289 respondents was used for statistical analysis. The research findings revealed a strong link between the significant impact of supply chain4.0 and supply chain risk to improve organizational performance. The use of supply chain 4.0 in manufacturing organizations was the main focus of this study. The model can be modified to reflect other businesses worldwide, for instance, the retail or service sectors. The findings aid businesses in making better-informed decisions about adopting supply chain 4.0. According to the research findings, food manufacturing companies should initiate and advance their transition to supply chain 4.0 for them to be competitive, effective, and productive.