This paper investigates the relationship between supply chain management practices and organizational performance with the mediating role of innovation. Data were collected from 207 small and medium enterprises (SMEs) in Punjab, Pakistan. PLS-SEM was used to analyze the proposed hypotheses. Findings reveal that strategic partnership with supplier and level of information sharing had no influence on organizational performance. In addition, quality of information sharing, internal supply chain process, and lean practices had significant influence on organizational performance. Moreover, all five practices of supply chain management had significant and positive influence on innovation. Meanwhile, innovation significantly and positively mediated the relationship between supply chain management five practices and organizational performance. The findings of this study will help managers of SMEs enhance their performance.

The Textile and Apparel industry of Malaysia used to contribute about 1.2% of gross domestic product (GDP) in the past. However, this position has followed a reverse trend in recent years. The imports were increased as compared to the exports which decreased the overall contribution of Textile and Apparel industry between 2015 and 2016. To address this issue, this study examined the effective supply chain activities through radio frequency identification (RFID) using survey method to collect the necessary data. Questionnaires were distributed among the employees of Textile and Apparel companies. While analyzing the data by using PLS-SEM, it was found that RFID was contributing majorly in supply chain operations and maintained significant and positive effect on the performance of supply chain. Moreover, staff services quality had moderating role between RFID and the operations of Textile and Apparel industry. The study is one of the first attempts to examine the effect of RFID on supply chain operations of Textile and Apparel companies. Thus, the current study is helpful for practitioners to resolve the issues of concerned industry.

This paper investigates the impact of employee commitment as well as the recruitment process on the performance of internal supply chain. Additionally, the current study is intended to investigate the mediating role of the recruitment process on the relationship between employee commitment and firm supply chain performance. The main objective behind any recruitment process is to recruit committed employees to help a firm enhance the performance of the organizations. Therefore, the current study is carried out to fill a gap by exploring the relationship between recruitment processes, employee commitment, and firm supply chain performance. To achieve the research objective, the study has analyzed the data gathered from 284 mangers of manufacturing organizations of United Arab Emirates. 284 questionnaires out of 550 are found useful, so the response rate is 52 percent. The structural equation modelling using AMOS is used to analyze the data. The results of the study show an agreement with the results of the hypotheses. The direct relationship between commitment types and firms’ internal supply chain performance, and between recruitment process and firms’ internal supply chain performance are found positive and significant. The results of the study will be helpful for HR practitioners, operation managers, researchers, and policy makers in understanding the impact of employee commitments and recruitment process on internal supply chains’ performance of manufacturing firms.

Machine failures during production period may impose thousands to millions of dollars to a manufacturing system. In this paper, the impact of machine failures on production lines in a closed-loop supply chain systems is examined. For this purpose, a new method is proposed for scheduling manufacturing workshops in a supply chain systems. The aim is to determine the best production plans in a manufacturing system by considering alternative preventive maintenance programs while machine failures can affect system performance. To solve the model, a hybrid Ant Colony and Simulated Annealing algorithms is developed and the results are compared with branch and bound method. Our findings show that the condition of emerging machine failure affects machines’ capacity which yields to lost sale. The impacts of using appropriate preventive maintenance on reducing lost sale is also examined. The results indicate that the proposed method can significantly reduce the level of sale variation in supply chain systems.

The primary objective of this paper is to investigate the relationship between total quality management practices (TQMP), supply chain management practices (SCMP), information technology capabilities, supply chain technology adoption and firm supply performance. In addition, the study also tries to investigate the mediating role of information technology capabilities and supply chain technology adoption in the relationship between TQMP, SCMP, and firm supply performance. The study is carried out on a sample of textile firms of Pakistan. To achieve the research objective, Smart PLS-3 is used for the analysis of the data gathered from the textile firms of Pakistan. The results of the study show a great deal of agreement with the hypothesized results. The information technology capabilities, supply chain technology adoption both appear to play mediators between TQMP, SCMP, and firm supply performance. The results of the study will be useful for policymakers and researchers to understand the emerging role of technology in strategic management and operational management.

Supply chain performance has been a key element of competitive strategy to boost organizational productivity and profitability. In the United Kingdom (UK), a survey disclosed that approximately 40% of the UK’s gross domestic product (GDP) was consumed on supply chain related activities. Because of the extensive use of gross domestic product (GDP) on supply chain, it is important to work on UK based supply chain companies and to reveal various factors to enhance supply chain performance. Therefore, the primary objective of the current study is to investigate the combine effect of audit determinants and leadership styles to enhance supply chain performance in UK based companies. Data were collected from audit department employees and other managerial employees who are closely related to supply chain activities. After analyzing the data through Smart PLS 3, it was found that audit and leadership styles played important contribution in supply chain performance. Moreover, top management and employee commitment to change maintained significant influence to enhance positive effect on audit and leadership. This study is much significant for UK supply chain companies to enhance supply chain performance.

This study aimed at testing the potential impact of the disclosure of the main variables of sustainable development on the quality of financial reports, in a developing country, Iraq, where there is a lack of research in this area. To achieve its goal this study relied on an analysis of a sample from 91 financial reports of the Iraqi commercial banks listed on the Iraq Stock Exchange during the period 2012-2018. Our results prove that disclosure of the dimensions of sustainable development as a whole has a positive impact on the quality of financial reports in commercial banks in Iraq. The paper recommends conducting more research and studies on the dimensions of sustainable development in the future for other sectors such as industrial and service sectors linking it with other variables such as the cost of capital, or inconsistency of information.

E-commerce market of Pakistan is instable which causes low performance of e-logistic industry. Thus, logistic industry of Pakistan is lacking as compared to other developing countries such as China, India, and Malaysia. Low performance is majorly based on low staff service quality, inappropriate website design and goods traceability system. As remedies of these issues, the current study introduced firm’s IT capability and information communication technology (ICT). The primary objective of this study is to investigate the determinants of e-logistic firm’s performance in Pakistan. To achieve this objective, quantitative research approach along with cross-sectional research design was used. By using the survey method, 300 questionnaires were distributed among the managerial staff of e-logistic companies. Smart PLS 3 was used as a statistical tool. It is found that staff service quality, website design and e-traceability had significant and positive relationships with firm’s e-logistic performance. Moreover, firm’s IT capability as a moderator enhanced the positive effect of staff service quality, website design and e-traceability. Nevertheless, information communication technology (ICT) positively mediated the relationship between e-traceability and firm’s e-logistic performance. Hence, firm’s IT capability and information communication technology (ICT) are the key elements to decrease various issues of staff service quality, website design and e-traceability. The study is much significant for practitioners and e-logistic companies to enhance performance by focusing on firm’s IT capability and information communication technology (ICT).

The metaverse is an imaginary network of parallel universes. Using this technology might liven up dull lecture halls. By expanding synchronous communication into the "metaverse," many individuals may have meaningful conversations and exchange perspectives. This research focuses on finding out how medical students in the UAE feel about the metaverse system. The conceptual model incorporates elements from the Technology Acceptance Model (TAM), including perceived value and perceived ubiquity as adoption determinants. To test the validity of the suggested framework, a survey was developed and distributed to 369 full-time students at one of the universities in the United Arab Emirates (UAE). Machine learning (ML) and structural equation modeling using partial least squares (PLS-SEM) are used for data analysis. According to the results, the extent to which users saw value in and adoption of the metaverse system was a significant factor in whether or not they intended to participate. This study was helpful since it elucidated the relative significance of various healthcare components, allowing professionals to prioritize their efforts better.

Jordanian real estate enterprises are experiencing difficult market circumstances and an increasingly competitive environment; following these issues, this study examines the leverage of electronic word of mouth (e-WOM) on customer purchase intention in a Jordanian context with specific reference to real estate enterprises, considering the moderating role of reliability. Based on earlier studies, a conceptual model for the study was created. This research includes e-WOM as an independent variable affecting customers' purchase intention as a dependent variable mediated by reliability. The investigation follows descriptive-analytical methods; based on a convenience sampling approach, 300 questionnaires were distributed through Google Forms; nonetheless and 250 responses were accepted. To analyze data and assess hypotheses, a structural Equation Modeling (SEM) using PLS was employed. Results demonstrated a significant effect of e-WOM and Reliability on purchasing intent of customers, and the moderating role of reliability in the relationship between e-WOM and purchase intent was also affirmed. The findings give Jordanian real estate businesses information on ways to use that are most effective e-WOM to persuade buyers to buy.