This research aims to analyze the importance of Islamic Moderation (IM), which is the most prominent factor in the tourism attractiveness of the Kingdom of Saudi Arabia. This has made it an integrated and sustainable tourism destination throughout the year. The study applies a quantitative survey method and selects a probability sample of 470 questionnaires to collect data in the Jeddah region of the Kingdom of Saudi Arabia, using a probability sampling method. After employing purposive sampling to select the participants, a structural equation model (SEM) is employed to analyze the data. The proposed theoretical framework is utilized to examine the mediating role of Islamic Destination Image (IDI), in the correlation between Islamic Moderation (IM) and Destination Attractiveness (DA). Upon revisiting previous research, the study discovers several studies that concentrate on the concepts, mechanisms, and characteristics of moderation, the significance of disseminating moderate thought, addressing extremist thought, and its impact on the economy and international and regional relations. An examination of the total effect yields the conclusion that Islamic Moderation (IM) has a positive impact on Destination Attractiveness (DA); this effect is both positive and strong, both directly and indirectly. The Islamic Moderation (IM) has a significant, positive, and significant impact on the Islamic Destination Image (IDI).

The global investment landscape has undergone a paradigm shift, focusing on Environmental, Social, and Governance (ESG) factors as the major determinants of financial sustainability in investment decisions worldwide. This study uses predictive modeling to analyze the complex link between ESG variables and investment decisions. Focusing on three key sectors: IT, FMCG, and BFS, the study adopts a predictive modeling approach, recognizing the distinct characteristics and challenges within each sector. The information depends on the data obtained from different places like ESG details, and previous financial performance pointers – EBITDA, EPS, ROE, and P/E for 2018 to 2022, inclusive of general investor behavior. We can do this by working with relevant sources of data together with machine learning methods which show what happens in the Indian market in terms of ESG influencing the market thus leading to sustainable investment outcomes. This article seeks to comprehend why investors may favor sustainability as opposed to their conventional monetary units.

Industry plays a vital role in developing Thailand and supporting and driving businesses. The increase in industry benefits the national income. However, it also affects the environment. Industrial companies must adapt to reduce problems by developing organizational infrastructure, such as logistics activities or operations, which are the major systems and causes of environmental issues. Therefore, this study aims to study guidelines for logistic system and supply chain management for the environment in industrial business and develop a structural equation model (SEM). The study used a mixed-method research design; the qualitative method, in-depth interviews with nine experts and a focus group with 11 experts were used. Concerning the quantitative method, a questionnaire survey was used with 500 green industries. Descriptive statistics, inference statistics, and multivariate analysis were also used to analyze the data. The study found four essential aspects: (1) Customer orientation, (2) Green network, (3) Logistic process, and (4) Organization management. Finally, the hypothesis testing results found that in medium- and large-sized industries, the importance of the variables of the logistic system and supply chain management for the environment had no statistically significant difference at 0.05. The results from the analysis of the structural equation model found that the study passed the evaluation and was relevant to empirical data with a chi-square probability level of 0.066, a relative chi-square of 1.133, a goodness of fit index of 0.954, and root mean square error of approximation equal to 0.016.

The proposed study of this paper investigates the effects of total quality management (TQM) and eco supply chain management on business sustainability. The type of research used in this research is quantitative research and uses an online questionnaire as a tool to collect data from respondents. Research data was obtained by distributing online questionnaires to 568 Manufacturing company managers who were determined using the simple random sampling method. The questionnaire was designed to contain statement items and the Likert scale used in this research. The data analysis method used in this research was structural equation modelling partial least squares (PLS-SEM) with data processing tools, namely SmartPLS 4.0 software. The findings of this research specify that TQM and eco supply chain management had significant effects on business sustainability. The results of this research indicate that TQM and eco supply chain implementation were manifested in the company's ability to produce high product quality directly affecting the business sustainability of manufacturing companies.

The main problems found mainly in the ferry transportation in the port of Merak-Bakauhuni in the Province of Banten, Indonesia, is the high occupational accident due to safety procedures and low ship crew competency which finally influence the company's operational performance. The aim of this research was to know and analyze the influence of safety procedures and ship crew competency on passenger safety that has impacts on the company's operational performance of ferriage at the port. This research used Structural Equation Model – SmartPLS4 with a research sample of as many as 150 ship crew. The results of this research indicated that safety procedures and ship crew competency positively and significantly influence passenger safety. Besides, safety procedures, ship crew competency, and passenger safety positively and significantly influence operational performance. These results also confirmed that passenger safety could mediate the influence of safety procedures on operational performance and the influence of ship crew competency on operational performance.

Supply chain plays a very important role in the socio-economic development of countries, especially in the context of the fourth industrial revolution associated with the development of the sharing economy as well as associated with the rational and optimal allocation of resources. Studying the impact of supply chain management on the development of the sharing economy in the case of Hanoi, Vietnam and using advanced quantitative analysis methods, the research results show that perfecting the supply chain helps businesses rationalize costs and thus can improve business performance and promote the sharing economy. The study also shows that the quality of human capital and technological level have a positive impact on the sharing economy. Therefore, when the economy increases the contribution of technology to production activities, it helps businesses increase their choice of the sharing economy and thus helps to allocate resources more effectively and optimally.

The purpose of the study is to determine how supply chain flexibility (SCF), supply chain governance (SCG), and green supply chain practices (GSCPs) affect supply chain performance (SCP). In addition to exploring whether TQM moderates the effect of SCF, SCG, GSCPs on SCP of Saudi medium-sized industrial firms. To this end, data was gathered from 312 employees in Saudi medium-sized industrial firms and analyzed using structural equation modeling (SEM) via Smart PLS 4 software. The study revealed that GSCPs and SCG have a positive, significant and direct effect on SCP, in addition to that SCF and TQM do not have a direct positive effect on SCP. The study also found that TQM modifies the relationship between GSCPs, SCF, SCG and SCP.

This study was, therefore, set to achieve the following objective: to explore the impact of social media on consumers’ buying decisions. The current research was conducted on online consumers through luxury perfume brands' websites. The phenomenon of online sales has recently spread in Saudi Arabia, where the authorized number of those stores reached 1,800 sites at the end of 2021. The target population was online purchasing consumers from luxury perfume sellers. The appropriate sample size in unlimited populations is 385 responses. The research hypotheses were tested using the SEM (Structural Equation Modeling) method, which allows for the evaluation of the degree of dependence of consumers buying decisions on social media marketing. The results of the study demonstrated that social media marketing influences the consumer purchasing decision process. The outcome can be credited to the effectiveness of marketing efforts in the chosen retail via social media.

This study aims at exploring the effect of four elements of an integrated marketing mix. The mix consists of both elements of the 4Ps and SIVA marketing models. These elements are product-solution, promotion-information, place-access, and price-value. A questionnaire was used to collect the required data from a sample of retailing market customers in Saudi Arabia. The total number of the questionnaires used in data analysis was 378. The study found that product-solution and place-access from customers’ perspective had significant effects on customer retention. On the other hand, price-value had a negative significant effect on customer retention, while promotion-information had no effect on customer retention. Hence, companies are called for considering products as solutions, promotion as a source of information for customers, place as an access point for such a solution, and price must be appropriate to the value that the customer gets.

The aim of this study is to investigate the influence of logistics and distribution processes on business process reengineering by adopting green innovation for sustainable transformation. Guided by the Resource-Based View (RBV), the study examines logistics and distribution processes in relation to business process reengineering (BPR), through green innovation adoption, towards achieving sustainability goals. Drawing on a conceptual framework based in supply chain management and BPR theories, the study uses Structural Equation Modeling-Partial Least Squares to analyze data collected from respondents within the target industries. The results show that streamlined logistics and distribution processes help to ensure the success of Green Innovation as part of BPR, strengthening the trend towards sustainable transformation. The study accentuates the importance of logistics management in enabling environmental stewardship and enhanced operational efficiency, providing some key ideas for improving both theoretical developments and future directions as well on practice ground to adopt sustainable supply chain trends.