The study aimed to clarify the most important interconnected factors in the tourism sector “especially in hotels” that contribute to enhancing the interaction of current customers of hotels operating in tourism sector in light of the presence of the customer’s hotel experience as a moderator variable, through an empirical study on hotels, based on an analysis of the opinions of a sample of hotels customers in this sector. The study has been done depending on a questionnaire designed for this purpose and the study employs SmartPLS to analyze the data collected. The study found that the variables: employee efficiency, improving service quality, re-engineering business processes, and enhancing customer relationship management affect the business output generated by current customers of hotels, but the impact of these factors varies on the customers repurchase intention. The factor (Employee’s competencies- EC) has the greatest degree of correlation with an impact coefficient of (-0.227), while the lowest degree of correlation is for the factor (Reengineering business process- RBP) with an impact coefficient of (-0.034). By adopting the variable (CSE) as a moderator variable, the relationships between the independent factors and the dependent factor showed a significant change from the inverse relationship to the direct relationship. The study also showed, through the coefficient of determination (16.1%), that the selected independent factors can be developed either by expanding the sample or by selecting other simple factors or a composite of more than one factor. The moderator variable showed a negative effect on the relationship between the dependent factor (CR) and both factors (ERM and ISQ), while its effect was positive on the relationship between the dependent factor and the other independent factors (RBP and EC).

This study provides a comprehensive overview of the field of enhancing the customer-supplier relationship through big data technology and artificial intelligence (AI), reveals existing gaps and offers promising solutions for future research. SMART PLS-4 software was used to analyze the data collected, the results led to the existence of significant relationships between artificial intelligence and enhancing the relationship between the supplier and the customer (customer interaction, customer communication, customer participation, customer learning, customer experience, customer feedback). The study contributes to developing a conceptual model through the application of artificial intelligence in managing customer relationships with suppliers in the banking industry. The study contributes to developing a conceptual model through the application of artificial intelligence in managing customer relationships with suppliers in the banking industry setting. Which supports increasing knowledge in this field and helps managers develop appropriate strategies. This research is the first of its kind to organize and discuss the literature related to using artificial intelligence within the customer-supplier relationship management setting, which provides great importance to the process of using and developing artificial intelligence technology and understanding recent trends in how to develop customer–supplier relationships within the technology era.

This study aims to investigate the impact of information technology and supply chain practices on supply chain excellence in the retail sector, with a particular focus on understanding the mediating and moderating effects amidst the challenges posed by COVID-19. This study offers novel insights into the complex interplay between information technology, supply chain practices, and organizational culture in the context of the automotive retail sector. It underscores the pivotal role of this triad in navigating the unprecedented challenges and uncertainties of the modern business environment, providing a blueprint for attaining supply chain resilience and excellence. A survey was conducted involving 203 questionnaires distributed to 12 automotive retail companies in Dubai. The responses were analyzed using Smart PLS software and structural equation modelling to explore the intricate relationships between information technology, supply chain practices, organizational culture, and supply chain excellence. The results confirm that information technology and supply chain practices significantly influence supply chain excellence. Organizational culture was found to have a notable moderating effect, indicating that the alignment of culture with technological and procedural advancements is crucial in achieving superior supply chain performance. The study is confined to the automotive retail sector in Dubai, limiting the generalizability of the findings. Future research can expand to other sectors and geographical areas to provide a more comprehensive insight into the studied relationships. For businesses, especially amidst challenges like COVID-19, aligning information technology and supply chain practices with organizational culture is paramount. The findings suggest that a harmonious integration can lead to enhanced supply chain excellence, offering a competitive edge in the rapidly evolving digital landscape.

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.

Global business is getting more and more cutthroat. Digital technology plays a significant role in giving companies a competitive advantage and improving the effectiveness of corporate processes. The Malaysian government has advanced by implementing e-government to use digital technologies to improve operations. In line with the objective of Malaysia’s government, this study examines the impact of e-procurement adoption and e-procurement determinants on supply chain performance among Malaysian manufacturing companies. Using a quantitative research design with an online survey questionnaire, 99 responses from manufacturers listed in the Federation of Malaysian Manufacturers directory were obtained, representing 19.41% of the response rates. It fulfilled the minimum sample size of 92, and the data were examined using PLS-SEM. A total of 13 hypotheses are supported, accepted hypotheses one and two in which top management support and information communication technology infrastructure do not directly affect supply chain management. Besides, the findings prove this study's mediating effect on e-procurement adoption. It indicates that most Malaysian manufacturing companies have embraced e-procurement to support their supply chain operations.

This study empirically explores the influence of innovation orientation on the digital supply chain, mediated by dynamic capabilities within the context of Small and Medium Enterprises (SMEs). This study, rooted in a comprehensive evaluation of dynamic capabilities and innovation orientation, introduces a framework that could serve as a valuable resource for subsequent research. It contributes to the global discourse on optimizing digital supply chain practices among SMEs. Quantitative method was employed, gathering data from 212 professionals in SMEs in Dubai, UAE, via an online questionnaire. The collected data were analyzed using SmartPLS 4, focusing on reliability, validity, discriminant validity, and hypothesis testing. The findings show a significant influence of innovation orientation on the digital supply chain. Dynamic capabilities also exhibit an indirect yet substantial impact on the relationship between innovation orientation and the digital supply chain. The identified dynamic capabilities are instrumental in refining decisions associated with the circular economy and leveraging technology to enhance supply chain mechanisms. These capabilities foster positive correlations between the digital supply chain and innovation. The predominant advantage of digital supply chains for consumers lies in their agility and speed, facilitating swift response to customer demand and bolstering business efficiency. The model presented is a template for future research, which could expand its scope to include other industries like manufacturing or services, augmenting the robustness of the findings.

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.

Implementing sustainable and smart supply chain practices have a great impact on the performance of an organization. In today’s globalized and highly industrialized world, sustainability is recognized as one of the highest priorities of all organizations. Evolution of internet-based technologies, digital platforms and big data analytics have paved the way for redesigning supply chains to be smart, agile, and resilient. Therefore, the implementation of practices related to these two concepts is found to improve the supply chain related organizational performance. This research aims to investigate empirically the impact of these two practices on improving the supply chain organizational performance in the Small and Medium Enterprises (SMEs) of India. This research considered the dimensions and the variables related to sustainable supply chain and smart supply chain practices in SMEs in India which were not considered in research contributions prior to this. Therefore, this research becomes a unique contribution to the existing body of knowledge. Empirical analysis was carried out on data from 92 SMEs from Telangana State in India, collected using a questionnaire. The directory of SMEs of Government of Telanagana, India was used to select the cluster sample of SMEs as respondents, based on a criterion using exploratory research methodology. SPSS software was used to test the model. Regression and ANOVA were used for this purpose. Findings of this research reveal significant influence of sustainable and smart supply chain (SC) practices on improving SC organizational performance. Additionally, individually each of these practices also have a direct influence on the performance of SMEs. Obtaining responses from the representatives of SMEs was a challenge and limitation of this research while expanding the scope of this research to different geographical regions and clusters will be a topic for further research. The outcomes and results of this research provide significant contribution to the existing body of knowledge by filling the gaps and value-adding to the researchers, academicians, students, policy makers and industry practitioners.

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.