The rapid advancement of technology has substantially impacted numerous sectors, including the banking industry. It is now apparent that the banking industry is affected by the innovative role that the Internet of Things (IoT) plays, which affects a multitude of operations and services. This study uses a quantitative approach and PLS-SEM to investigate the widespread impact of Internet of Things (IoT) technology on the Excel Performance of Islamic Banks in the UAE. The study integrates the Resource-Based View (RBV), Islamic Banking Theories, and Fraud Triangle Theory to create a complete framework. The research's reliability is supported by a sample of 407 replies from 504 participants. The findings strongly support the hypotheses that IoT integration improves Islamic banking performance in the UAE, such as data analytics, customer service, automation systems, fraud detection capabilities, and asset-backed finance, while aligning with Sharia Principles and improving risk-sharing mechanisms. However, the influence of IoT on escalating fraudulent activities and hence negatively impacting performance was not proven. The study emphasizes the importance of IoT in improving operational efficiency and customer satisfaction in Islamic banks in the UAE.

Supply chain management (SCM) that is Lean, Agile, Resilient, and Green (LARG) are required for competitiveness in today's complex, high-demand market. SCM must consider LARG paradigms concurrently, a rarely investigated topic. This study provides a comprehensive review of publications that combine all four LARG principles in engineering, business, and management domains. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach, two Scopus and Google Scholar databases were exhaustively examined. Thirty-two manuscripts were selected for a comprehensive review. The year of publication, document type, countries, authors, journals, keywords, and topics was analyzed from 2000 to 2023. Also, each paper's methodology, central topic, findings, limitations, and future recommendations were outlined. Consequently, the current systematic literature review (SLR) revealed that the proposed topic is in its infancy, with promising prospects. By emphasizing the findings of this study, managers and businesses can increase consumer satisfaction and reduce costs.

Economic development is required to be associated with sustainable environmental protection and is considered as an urgent need in the current period. Research on the factors that determine the use of green production activities is carried out in Vietnam through a survey of 202 businesses, through Cronbach's alpha reliability analysis method, exploring EFA factors and regression analysis, research results show that the benefits of green growth, the effectiveness of communication and the quality of human resources have a positive impact on promoting green growth, while there is no influence of state policies on green growth.

In supply chain management, the employed forecasting algorithm plays a very vital and crucial role in how a particular business performs well in the market. This study proposes a time series based forecasting model to help in designing an effective make-to-stock supply chain mechanism for tackling the large number of suppliers (suppliers diversion) and products (items diversion). The proposed technique extends the traditional ARIMA model to ARIMA Double Layering Technique (DLT) where the algorithm is implemented in two layers: first one is to obtain the number of orders level, and the other layer is implemented at the quantity level. The systematic implementation procedure of our approach is illustrated through a real case study. The accuracy evaluation and consistency of the results show that ARIMA -DLT provides superior forecasting when compared with ML-based models which provides insightful managerial views to other similar forecasting problems.

Vietnam is a rapidly developing country associated with changes in socio-economic activities, especially both public and private services. The service industry is making a practical contribution to economic growth and is gaining a great position. To help a society develop harmoniously, the economy must satisfy people's ability to access services, especially basic services such as education, healthcare, legality, transportation, security and safety. The aims of the study are to estimate factors affecting legal service quality, and based on the survey in three provinces in Vietnam: Lam Dong, Dak Lak, Gia Lai and through quantitative analysis, the research results show that there are five factors that positively affect service quality, which are: (1) government; (2) head of the unit; ⁠(3) influencer; (4) opinions of people around; and (5) organizations and individuals providing services. The research results also discuss some solutions to increase service quality and sustainable development of Vietnam in the coming time.

Future global economic stability is under significant threat from environmental risks. Rural peat areas are particularly susceptible due to their elevated levels of hazard, vulnerability, and limited capacity. Acknowledging these risks is pivotal for fostering a low-carbon development trajectory. This study analyzes the environmental risk in rural peat areas within Riau Province. The PROMETHEE method, incorporating Shannon Entropy weighting for data analysis, was employed. The findings reveal that four regencies are exhibiting favorable environmental risk conditions and five regencies facing adverse conditions. The criteria influencing the environmental risk of rural peat in Riau Province showcase various positive and negative contributions across each regency. The sensitivity analysis underscores the resilience of forest fires and the social forest program in three regencies. Recognizing environmental risk can serve as a foundation for decision-makers to formulate sustainable development policies.

Indonesia's enduring vision 2045 requires sustained growth driven by productivity and human resources quality. A goal attainable only through a workforce proficient in critical thinking and digital literacy. Despite the acknowledged significance of digital literacy, there is limited empirical evidence on its effects, especially concerning employment prospects. While information and digital literacy are increasingly recognized as vital competencies within organizations, existing literature has somewhat overlooked the literacy levels of employees. This study aims to explore the impact of information and digital literacy on employees' perspectives regarding the utility and user-friendliness of digital technologies, subsequently assessing the implications for their overall employability in Indonesia. A survey involving 258 Indonesians. Data collecting is conducted through questionnaires and analysis using structural equation modeling investigates the factors influencing employability using the Technology Acceptance Model. The findings reveal that in Indonesia, there is a heightened emphasis on computer literacy and information literacy in both educational and professional realms. This might be due to the Indonesian education system and industry standards prioritizing these specific digital competencies, considering them essential for navigating technology, accessing information, and effectively utilizing digital tools in the professional sphere.

Hub location is crucial for resilient and uninterrupted supply chain operations, particularly during disruptions or unforeseen events. In this paper, we propose a resilience hub location framework for Third Party Logistics (3PL) companies with two key objectives: optimizing demand flows and establishing a resilient network capable of with-standing sudden disruptions. The study aims to identify the key criteria that contribute to the successful implementation of the resilient center. The proposed structure utilizes a two-phase decision-making methodology. The first phase presents a new Multi-Criteria Decision-Making (MCDM) approach called SWARA-EDAS method that evaluates and ranks potential locations based on resiliency criteria. The second phase proposes an optimization model to determine the optimal hub location. To illustrate the approach, a real-world case study of a 3PL company in Tehran is included. Due to the absence of precise demand data in the case study, a novel clustering approach is proposed to estimate the demand flow. Each cluster can be considered as a distinct demand point, and a clustering analysis involving 122 regions within Tehran is conducted, taking into account various factors such as population, economic index, accessibility to the Internet, and the number of business units. To enhance the resiliency of the network, mobile distribution centers are also deployed. These mobile centers not only provide flexibility but also serve as backup capabilities in the event of a disruption or failure at the fixed hub. The proposed structure offers practical in-sights for 3PL companies seeking to implement a resilient network structure.

The purpose of this research was to analyze the increased performance improvement in the supply chain related to the energy and utilities sector of Jordan through cloud computing, also mediated by knowledge sharing. 150 respondents were analyzed. Research suggests that there was a strong positive relationship between cloud computing and supply chain performance. In addition, cloud computing had a strong and positive correlation with the practice of knowledge sharing. The result indicates that companies with a culture of knowledge sharing among employees were more likely to incorporate the use of cloud computing. The study also indicates that cloud computing adoption had enhanced supply chain performance in the utility and energy sector within Jordan. Therefore, the study also finds that there was a strong and positive relationship between knowledge sharing and well overall performance of supply chain activities. This points to the role that knowledge-sharing practices play in improving the performance of the supply chain within Jordanian utilities and energy sectors. Furthermore, the findings of the mediation study provide strong evidence in support of our hypothesis that knowledge sharing plays a major role as a mediator relating to the relationship between cloud computing adoption and supply chain performance. The observed mediation effect suggests that the positive impact of cloud computing implementation on supply chain performance can be attributed to some extent to its facilitating knowledge exchange practices. However, this research improves the understanding of relationships among cloud computing adoption implementations and information structure flow as well as supply chain performance within Utilities These results emphasize the importance of cloud technologies as information drivers that would lead to enhanced performance in terms of supply chain operations. These are insights that can be used by organizations and businesses aiming at improving their competitiveness and efficiency levels in these sectors.

This study examines the role of government regulation on competitiveness and its impact on the performance of companies that have been designated as bonded zones. Bonded zone regulations provide several conveniences such as: delaying the payment of taxes on imported goods, accelerating customs duties, and exempting import permits are expected to improve company performance. Until 2019, 493 textile companies had been designated as bonded zones in Indonesia. But in reality, there are still companies designated as bonded zones that have low financial performance. This research uses 204 textile companies designated as bonded zones in Indonesia. The data were obtained from questionnaires filled out by company representatives. Data were analysed using a statistical test tool. This study finds that government regulations have a greater influence on the performance of textile companies mediated by power competition. The government must make regulations that can support increased competitiveness to improve company performance.