This study aims at exploring the impact of the performance of supply chain dimensions (plan-based, source-based, make-based, delivery-based, and return-based performance) on the financial performance of industrial firms. Using a questionnaire, data were collected from a sample consisting of 250 supply chain and financial managers. Analysis data via IBM SPSS and AMOS, the results showed that hypothesized effects were supported except one hypothesis. That is, the results revealed that plan-based, source-based, make-based, and delivery-based performance have significant effects on firm’ financial performance. However, there was a significant negative effect of return-based performance on financial performance. The results concluded that firms should individually influence the supply chain dimensions to address the effects of their performance on financial performance.

This study aims to evaluate the influence of green supply chain management (GSCM) on organizational performance, taking into account the mediating role of innovation orientation. This study serves as a crucial resource for the e-commerce sector, providing insights to identify operational gaps and to implement cutting-edge GSCM practices. The findings are valuable for organizations aiming to refine their processes and achieve their business goals in a competitive environment. Utilizing a quantitative research methodology, this study examines the online retail industry in the UAE. A convenience clustered sample of 165 companies in Dubai was analyzed using SmartPLS 4.0 to identify patterns and insights. The results indicate a significant positive correlation between GSCM and organizational performance. Innovation orientation emerges as a substantial mediating factor, highlighting its crucial role in enhancing organizational efficiency and effectiveness. This research paves the way for future studies to explore additional influential factors within the online retail sector. Investigating the roles of customer satisfaction and loyalty as independent variables, along with digitalization as a mediating factor, could provide comprehensive insights into their collective impact on organizational performance. For the online retail sector, the adoption of innovative GSCM practices, such as green purchasing and investment recovery, is essential to improve organizational performance. The expanding trend of e-commerce highlights the potential for organizations to examine various factors that contribute to sustainable competitive advantages.

This study examines the relationships among green human resource management (GHRM), green commitment, green innovative work behavior (GIWB), and the moderating effect of environmentally specific servant leadership (ESSL) in UAE higher education institutes of the United Arab Emirates (UAE). Using a sample of employees, data were collected through a survey from 243 employees working in different universities across the UAE and analyzed using Structural Equation Modeling (SEM). The SEM analysis confirms robust relationships between GHRM, environmentally specific servant leadership, green commitment, and green innovative workplace behavior. GHRM has a positive impact on GHRM. ESSL fosters the relationship between GHRM and green commitment, while green commitment positively impacts green innovative workplace behavior. Females were found to be more environmentally aware of the needed adjustments compared to male workers at the UAE campuses. The study suggests that higher education institutes in the UAE should adopt ESSL to support eco-conscious behaviors and green practices on their campuses and contribute to the achievement of national sustainability goals.

In the rapidly evolving landscape of supply chain management, the advent of the metaverse presents a novel frontier with significant potential for enhancing operational effectiveness and excellence. This study aims to examine the effect of metaverse adoption on various dimensions of the supply chain, including resilience, agility, flexibility, and performance. Utilizing a quantitative research approach, the research analyzes survey data from a significant sample size of 737 organizations that have adopted metaverse technology into their supply chain operations. The employment of partial least squares structural equation modeling (PLS-SEM) offers a comprehensive understanding of the metaverse's role in enhancing the dynamism and efficiency of supply chains. This study contributes to the emerging field of digital transformation in supply chain management by providing empirical evidence on the effectiveness of metaverse technology. It bridges the gap in literature regarding the practical application of advanced digital solutions in enhancing supply chain operations and sets a foundation for future research in this area.

Recently, there have been a growing number of articles focusing on the benefits of adopting e-SCM systems and the value of such systems in supply chain performance. However, less academic research was devoted to understanding factors affecting the adoption intention of such systems. This study uses the technology, organization, and environment (TOE) framework to examine factors that affect the adoption of e-SCM systems in Jordan, where limited research has been conducted in this country. Through an online survey filled by 251 participants via the LinkedIn website, the study shows that perceived relative advantage, financial resources, employee competency, top management support, competitive pressures, and customer pressure positively impact the adoption intention of e-SCM systems. The findings confirm the association between variables embedded in the TOE framework and the adoption intention of innovative supply chain systems and solutions and support earlier findings. According to the study findings, e-SCM systems providers should focus on the relative advantage these systems offer to increase the likelihood of their adoption.

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.

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.

The effect of information security on the e-supply chain attracted attention to investigate its relationship with the mediating role of supply chain risk in the logistics and distribution industry in the United Arab Emirates (UAE). The proposed research explored the mediating effect of supply chain risk in the logistics and distribution industry, providing unique insights for future research, literature, and targeted sectors. A descriptive, causal and analytical design with quantitative research technique was applied to the proposed research model. A sample of 301 respondents from the managerial departments of 176 logistics and distribution companies in Dubai and Abu Dhabi was used to assess the research variables. The findings revealed that the impact of information systems was positively associated with the e-supply chain, while the indirect impact of supply chain risk significantly positively impacted the e-supply chain. The research is limited to assessing the supply chain risk as an intermediary. For future research, exploring the SC risk prevention strategies' impact on the E-supply chain is recommended. Research findings are anticipated to assist communities of practice in making better information security decisions in the context of e-supply chain by clearly implementing information security policies internally and externally to enhance e-supply chain performance and SC risk management.

This paper examines the impact of cyber resilience and supply chain (SC) robustness on supply chain performance in the UAE chemical industry. No prevailing empirical evidence makes this research unique and beneficial to the literature and future research related to cyber resilience in the chemical industry. Moreover, this research is a contemporary contribution to the research of the UAE chemical industry. The study applies a quantitative approach with causal, exploratory and analytical design. The magnitude of the industry is emphasized by choosing cluster sampling techniques. Data is collected from chemical manufacturing companies located in Abu Dhabi, UAE. A valid sample of 303 participants is used for data analysis. A positive direct impact with a significant level of cyber resilience and SC robustness on supply chain performance is found. Current hypothetical model assessment in one industry limits the research findings. It is recommended that other industries be investigated through longitudinal research. A system of diverse detection and defense mechanisms is required. For the chemical industry, an effective cyber security plan would strengthen resilience against cyberattacks and improve SC performance.

The purpose of this paper is to empirically examine a theoretical model which identifies the effect of process quality improvement and lean practices on competitive performance in the healthcare industry in the United Arab Emirates (UAE). The study uses a quantitative research technique with convenient cluster sampling through applying a descriptive, causal and analytical research design. A valid sample size of 270 respondents is used for analysis by linear regression and hypothesis testing using SPSS. The results indicate a direct significant relationship between process quality improvement and a direct significant relationship between lean practices and competitive performance. Given the substantial resources spent and efforts to improve healthcare quality, the absence of studies demonstrating the impact of quality-related operations and activities would require future research. Hospitals in one city in UAE have access that limits the research results. It is recommended that future research assess more variables dependency on the healthcare sector that can affect increase competitiveness. The research provides some managerial implications that could help hospital managerial members improve their healthcare delivery system's leanness and quality improvement to get competitiveness. Quality improvement and lean practices help increase competitive performance and can assist the healthcare sector in providing better service using these practices that have never been considered in research.