Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The present study examined the perception of users towards the role of artificial intelligence (AI) in improving personal learning profile (PLP), personal learning network (PLN) and personal learning environment (PLE). Additionally, the impact of PLP, PLN and PLE on perceived ease of use, perceived effectiveness and perceived usefulness in improving the general attitude and satisfaction of users in their intention to use project management was examined. Results showed the impact of PLE on perceived ease of use and perceived usefulness, significant impact of PLP on perceived effectiveness, and impact of student pressure on intention to use project management. Data were obtained from professionals and students with experience in the use of project management modules. Notably, the obtained data were fully based on the perceptions of the respondents, resulting in potential self-perception bias. Perceptions of users towards PLP, PLN and PLE were integrated into the technology acceptance model framework of this study, to understand their impact on the general attitude and satisfaction of learners. Using AI can enhance learner attitude and satisfaction while creating more engaging e-learning, proving the crucial role of AI in forming the right environment through learner profile match.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This study examines the impact of artificial intelligence (AI) on project management performance, with a focus on the mediating roles of top management support and project management competence retention. A cross-sectional research design was employed, and data were collected from 309 employees using a convenience sampling technique. Conducted within the context of Saudi Arabia’s manufacturing sector, the research aligns with the nation’s Vision 2030 goals of economic diversification and technological advancement. Data analysis was performed using structural equation modeling (SEM) to examine the relationships between the constructs. The results reveal that AI has a significant direct impact on both top management support (β = 0.865) and competence retention (β = 0.827), while also indirectly enhancing project performance through these mediating factors (β = 0.666 and β = 0.471, respectively). Additionally, top management support (β = 0.771) and competence retention (β = 0.507) directly influence project performance. The findings highlight the critical role of AI in improving decision-making, resource allocation, and skill retention, ultimately leading to better project outcomes. The findings have significant implications for organizations and policymakers. Practically, organizations in Saudi Arabia’s manufacturing sector can leverage AI to enhance project outcomes by improving decision-making, resource allocation, and skill retention.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Green growth has recently become an interesting field of research, as the pairing of economic growth and environmental preservation is seen as an urgent need. Despite this importance, few studies have investigated the underlying factor of green growth (GG), especially those relating to green innovation (GI) and human capital (HCI) as catalysts of energy intensity (IE). The current study aims to investigate the repercussions of human facets and the green patents on energy intensity-driven green growth. We use the panel threshold regression (PTR) supported by the Exponential Panel Smooth Regression (EPSR) method spanning the period 1997-2019 to the case of 16 countries which include most and least eco-friendly countries. Our findings disclosed that below a threshold value of the human capabilities, green technological innovation remains without negative effects on EI. Our results also revealed that only the group of most eco-friendly countries (MEFC) is those which benefit from green innovation by moving from a low to high regime of human capital index. The group of least eco-friendly countries (LEFC) cannot benefit from green innovation to foster GG even by translating from low regime to high regime. In addition, human capital exerts an adverse effect on EI in the case of low regime; and therefore, for a low threshold value of the HCI. The outcomes of the present study can clarify the need to implement future action plans in terms of arbitration between the environmental quality in its different forms and savings in terms of energy consumption.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This study uses a structural equation model to analyze the role of regulation and policy with market access through collaboration and networking to sustainably improve the creative industry's competitiveness. Questionnaires were distributed to respondents in the creative sector in four big cities in Indonesia, namely Surabaya, Bandung, Yogyakarta, and Solo. The results of distributing questionnaires to 280 respondents and 250 questionnaires can be further processed with a response rate of 89.29%. Based on the goodness of fit test results, the model tested fits the data very well. All evaluation criteria met or exceeded the recommended values. Market access is the most influential variable on collaboration, networking, and competitiveness in the creative industry, with a coefficient value of 0.60. Collaboration and networking are essential variables in improving creative sectors, with a coefficient of 0.59. Although influential on collaboration and networking, regulations and policies do not significantly affect the creative industry's competitiveness because the coefficient index value is -0.11. However, rules and guidelines can indirectly affect the competitiveness of the creative sector through collaboration and networking, with a coefficient value of 0.189. The practical contribution of research provides insight for the government to create policies and regulations that support the creative industry and protect imported products so they do not kill domestic creative products. Contribution for practitioners to build collaboration with various parties in the country and build market access so they can export products. Theoretical contributions can enrich studies on resources-based views and national competitiveness.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)