The significance of project scheduling and sequencing has increased considerably in recent years, driven by the rising customer demand for highly personalized solutions. Companies have to consider multiple criteria while executing multiple projects simultaneously to meet the customer demands. Therefore, this study focuses on the multi-objective multi-project scheduling and sequencing problem (MP-SSP). A simulation-based mathematical model is developed and integrated with a multi-objective genetic algorithm. The objectives of this model are to minimize the project execution cost, project completion time and project lateness simultaneously while maximizing the resource utilization in the stochastic environment. Goal attainment programming is introduced in the simulation integrated multi-objective genetic algorithm (SIHMO-GA) to increase the effectiveness of the algorithm. Further, response surface methodology (RSM) has been used to find the optimum parameters of the proposed SIHMO-GA. The effectiveness of the proposed SIHMO-GA is evaluated through a real-world case study by comparing it with simulation-optimization approaches, namely the multi-objective genetic algorithm (MOGA) and goal attainment programming. Gap analysis indicates that the SIHMO-GA provides best trade off values of the above-mentioned conflicting objectives under a stochastic environment. This study supports practical scheduling and sequencing of multiple projects in a stochastic environment by generating solutions that maximize profit, enhance resource utilization, and ensure customer satisfaction through timely project delivery.

This study examines the relationships between circular economy capability, green supply chain, green process innovation, and sustainable performance in the manufacturing sector of Saudi Arabia. As the country transitions toward its Vision 2030 goals, which emphasize sustainability and economic diversification, the manufacturing sector plays a critical role in adopting circular economy principles and green practices to reduce environmental impact and enhance resource efficiency. Using a cross-sectional research design, data were collected from managerial-level employees through a structured questionnaire. Data analysis was conducted using structural equation modeling (SEM) to examine the hypothesized relationships. The findings reveal that circular economy capability significantly drives green supply chain and green process innovation, which in turn enhance sustainable performance. The study also identifies green supply chain and green process innovation as critical mediators in the relationship between circular economy capability and sustainable performance. The results highlight the importance of integrating circular economy principles with green practices to achieve sustainability goals. It provides actionable insights for organizations to enhance their sustainability efforts, such as investing in resource efficiency, adopting green supply chain practices, and fostering process innovation.

This study explores the relationship between supply chain practices and sustainability efforts, with the understanding that logistics strategies can have profound impacts on economic growth, society, and environmental conservation. The primary objective of the research is to identify ways in which organizations can improve their supply chains to achieve more favorable sustainability outcomes by examining the relationship between the supply chain and sustainability performance. Data was collected through a questionnaire designed and distributed to 43 companies in the basic materials sector in the Kingdom of Saudi Arabia. The questionnaire data were analyzed using SPSS and Smartpls. The results indicate that supply chains in the basic materials sector in the Kingdom are operating effectively and positively, impacting the promotion of economic, social, and environmental sustainability. The insights from this study can help advance the understanding of how supply chains can drive sustainability improvements while developing a more robust economic framework for sustainability and resource management for stakeholders.

This paper is conducted to investigate the impact levels of outside determinants on the quality of accounting human resources for sustainability of the accounting service firms in Hanoi. Data are collected using 145 questionnaires from accounting service firms. Based on the data collected, we use Cronbach’s Alpha, EFA and regression model for learning the effect of different variables on the quality of accounting human resources. The results show that three outside determinants including International integration of accounting, Policy of accounting human resource development and Accounting labor market needs had positive relationships with the quality of accounting human resources. Based on the findings, some recommendations are given for improving the quality of accounting human resources of accounting service firms in Hanoi to ensure sustainability, including applying international financial report standard (IFRS) in Vietnam, strengthening cooperation between universities and businesses, and improving the quality of the labor market.

The hotel industry in Jordan plays a crucial role in stimulating economic expansion by attracting tourists and creating job prospects. The industry can benefit from the use of Artificial Intelligence (AI) to improve sustainability through the promotion of green innovation, efficient resource utilization, and reduction of environmental harm. Hence, this study designs a model to enhance the environmental, economic, and social sustainability in the Jordanian hotels Sector. The study aimed to examine the impact of the AI Capabilities (tangible, intangible and human) on social, economic, and environmental sustainability with the mediating effect of the green innovation. The population of this study is all employees in 19 eco-friendly hotels in Jordan, they were 18,850 distributed over four Jordanian regions (Amman, Aqaba, Dead Sea and Petra). A total of 377 questionnaires distributed to respondents using stratified sampling. The study used SEM with SMART-PLS 4 to analyze the data collected. The measurement model applied to analyze the reliability and reliability of the model, the path coefficient in the structural equation model used to test the study hypotheses. The results of this study supported most of the study’s hypotheses, as it supported the impact of tangible and human capabilities on the sustainability, while the study did not find any direct impact of the intangible capabilities on the sustainability in the hotel sector in Jordan. The results show significant direct impact of the three AI capabilities; tangible, intangible and human on the green innovation, also the study found significant impact of the green innovation on the sustainability. The study confirms the three mediation hypotheses of the green innovation on the impact of the AI capabilities on the sustainability in the Jordanian hotel sector. The study provides important implications to the managers in the Jordanian hotel sector to enhance their environmental, economic and social sustainability by improving AI capabilities and innovation.

In the era of the digital world, supply chain systems and processes have changed in an unprecedented manner. Digital technologies and AI related applications have impacted the way in which supply chains are operated compared to traditional and linear supply chains in the previous era. Supply chains in this era are able to be agile, resilient and smarter. Some of the drawbacks of linear supply chains are addressed in the modern supply chains with the application of digital technologies. The future of supply chains now lies in focusing on achieving sustainability by leveraging the advantages provided by the technologies. Sustainability has gained increased focus both in the academic discipline as well as among industry practitioners especially after the development of Sustainable Development Goals (SDGs) by the United Nations. However, most of this development is limited to large scale enterprises and there is a need to improve it in Small and Medium Enterprises (SMEs) and Startups. In Particular, startups require a lot of support in developing their ecosystem in the initial days of their existence. Two major practices of supply chain are found to impact the entrepreneurial ecosystem of startups. The first one is smart supply chain related practices and the second one is sustainable supply chain related practices. This article focuses on the influence of these practices on the entrepreneurial ecosystem of startups. Both these supply chain practices are found to positively influence the development of the entrepreneurial ecosystem. An empirical survey was conducted using a structured questionnaire as a survey instrument in 85 pharmaceutical companies in India. The director of SMEs of Telangana state government was used to qualify the startups and SMEs based on different criteria. A total of 220 responses were received from these companies. Convenient cluster sampling technique was used to select the sample size. The responses were analysed using regression and ANOVA through SPSS. It is found that the smart and sustainable supply chain practices can foster the development of the entrepreneurial ecosystem of startups. The outcomes of this study provide high value-addition to researchers, academicians, students, policy makers, budding entrepreneurs and startup owners and employees.

This study aims to assess the influence of green HR management and Green Supply Chain on practices for initiating green business and environmental sustainability. The research also incorporated the mediation role of environmental sustainability between green HR practices, Green Supply Chain, and green business. A structural study methodology was used with 220 samples drawn from manufacturing companies in the province of Central Java. A questionnaire was used to collect data. The PLS(SEM) was also utilized to assess the constructs' reliability and validity as well as investigate their hypothesized links. The finding of this study indicates that environmental sustainability significantly mediates the relationship between green HRM, green supply chain, and green business. The research also finds a positive relationship between green HRM, environmental sustainability, and green businesses. Similarly, findings also found a significant relationship between green supply chain, environmental sustainability, and green industries. The results of this study can be applied to strengthen the resource based theory and literature of HRM and supply chain management. There are several practical managerial implications for improving the performance of manufacturing companies in Central Java. They provide recommendations for practitioners and managers to improve the business performance of companies based on green HRM, green supply chain, and environmental sustainability.

This research mainly focuses on developing health tourism in rural areas, especially in Bangli, Bali, which has excellent potential but faces various challenges. Through an approach that involves local community involvement, this research aims to create a tourism experience that supports physical and mental health while empowering local communities. The quantitative research method was used to collect data from 450 respondents in Subaya Village. The sample was taken with the criteria of understanding the concept of wellness tourism, having an empowerment group, and having acquired knowledge about designing wellness tourism-supporting products. After data collection, out of 450 questionnaires distributed, as many as 250 were returned, with 150 answers that met the respondents' criteria. The results of the analysis show that the integration of local cultural practices and natural resources can increase the attractiveness of destinations, as well as provide significant economic and social benefits for the community. The study also highlights the importance of eco-friendly products in enhancing the traveler experience, which can increase visitor satisfaction and loyalty. Through a sustainable health tourism model, it is hoped that synergy can be created between local economic development and environmental conservation.

The objective of this study is to examine the role of HRM and supply chain to promote business performance (BP) sustainability in Thai textile firms. Meditating role of employee skills and raw material is examined. Therefore, the relationship between HRM, supply chain, employee skills, raw material and BP sustainability was examined. Population of the study is textile firms of Thailand. Employees of these textile firms were selected as respondents. 300 questionnaires were distributed among the textile firms of Thailand. Results of the study shows the positive role of HRM in BP sustainability. Better practices of HRM have the ability to promote BP sustainability. HRM has a positive role in employee skills development which further enhances BP sustainability. Moreover, supply chains in textile firms also play a major role to promote BP sustainability. Better supply chain increases the availability of raw material which causes BP sustainability.

In this research, the influence of business intelligence (BI) systems on business project development and sustainability is explored, with specific attention given to the role of electronic leadership (e-leadership) as the mediating factor. As organizations continue to function in a rapidly digital world that is dominated by project work, BI capabilities play a crucial role in increasing the quality of decision-making, project work efficiency, and business sustainability. The different dimensions of BI, including data integration, BI capabilities, real-time reporting, among others, have all been found to influence business project development positively, with the aid of electronic leadership that enables the implementation of BI, which, consequently, develops business strategies for sustainability. With this study, a quantitative research design was adopted. An electronic questionnaire was administered among administrative staff and project management personnel of various organizations that function within technology-intensive environments. A total of 400 responses were collected for the study. Structural equation modeling (Smart PLS version 4) was adopted for the study Findings In conclusion, findings have identified that business intelligence exerts a constructive influence on the development and sustainability of business projects in terms of planning, resource, risk, and value creation. In addition, the findings confirm that e-leadership is a mediating variable that increases information communication, collaboration, and decision-making through BI, thereby ensuring effective BI usage within a business project setting. Moreover, the findings support that information systems, such as BI, along with effective e-leadership, serve as a catalyst to ensure the sustainability of business projects. In that regard, this study will make a valuable contribution to the development of business intelligence and e-leadership concepts within a business project sustainability framework. This study will prove to be a very valuable resource to project managers, leaders, and government administrators in terms of utilizing BI-related technological applications as well as electronic leadership practices to enhance business project success rates.