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The purpose of this study is to explore the association between total quality management (TQM) and green manufacturing practices (GMP).

The study used a rigorous methodology to investigate the association between TQM and GMP in small and medium-sized enterprises (SMEs) located in Bengaluru, India. A questionnaire method was used in this research. Data were collected from 448 participants working in SMEs in Bengaluru. Exploratory factor analysis, confirmatory factor analysis and Cronbach’s alpha values are used to validate the instrument, and the structural equation modelling (SEM) is used to check the relationship between TQM and green manufacturing.

SEM confirmed a significant and positive association among TQM and GMP. The identified factors within TQM, including customer focus (CF), human resource management, information and analysis, leadership styles, process management and strategic planning (SP), highlighted the multifaceted nature of TQM practices influencing green manufacturing. Factors identified within GMP included green management, green process and green production. These factors represent key dimensions in the adoption of environmentally accountable manufacturing practices.

The findings suggest that assimilating environmental sustainability into quality management frameworks, particularly in areas such as leadership, SP and CF, can catalyze the adoption of GMP initiatives in SMEs.

This study’s originality lies in its association of TQM and GMP in SMEs located in Bengaluru, India. The comprehensive validation process, identification of specific TQM and GMP factors and practical implications contribute to the unique insights presented, making it a distinctive contribution to the field.

This paper aims to identify the extent to which extreme events in the tourism and hospitality sector force artisan entrepreneurs to re-orient their entrepreneurial identity and how they respond to these extreme events.

The empirical data comprises of semi-structured interviews with 24 artisan entrepreneurs in Egypt, operating in the following fields: handmade dresses, carpets, papyrus design and sales. Thematic analysis was employed to analyse these interviews.

The findings indicate a marginal effect on the identity of dress-making artisans from the occurrence of extreme events because they mostly have a stable local demand for their products. Hence, they follow a separation strategy in response to extreme events. The findings further show a moderate influence on the identity of carpet-making artisans who supply a regular demand from mosques and churches for their carpets. At the same time, changing taste and the rise of artificial intelligence make them follow an integration strategy in response to extreme events and associated shocks. The strongest impact of extreme events is found on papyrus artisans who have been forced to re-orient their traditional working methods and expectations in response to extreme events (e.g. a decrease in tourists, Covid-19, the war in Ukraine). Papyrus artisans have no discernible local demand for their products and face decreasing tourist numbers and tough competition from Chinese products, while also lacking discernible government support.

This paper is one of the pioneering studies to link artisan entrepreneurship specific entrepreneurial identity dynamics with extreme events in a local context. This linkage significantly fills a gap in both entrepreneurship, tourism and management literature.

The application of generative artificial intelligence (GenAI) has the potential to transform supply chain management (SCM) practice. This study focuses on the role of GenAI, specifically large language models (LLMs), in enhancing the training efficiency and outcomes for supply chain employees.

An intervention-based research approach is used to implement a novel LLM-based methodology for improving both the training process for new employees and the continuous knowledge acquisition experience for existing staff in the supply chain function of an eyewear company.

The preliminary findings show that incorporating an LLM significantly improved the efficiency of the training process and reduced the training cost for employees by 25%. New employees could access relevant information swiftly, reducing training time and enhancing the quality of training. Notable outcomes included faster knowledge acquisition, personalized learning pathways and continuous improvement through user feedback.

This study contributes to the literature by establishing a foundational framework for leveraging LLMs for knowledge management and process automation within SCM. It offers actionable insights for SCM practitioners, highlighting opportunities to adopt LLM-powered methodologies for optimizing training processes, improving decision-making and automate SCM tasks.

This study examines the impact of climate legislation on green agricultural production and tests the heterogeneous impact of different types of climate legislation on agricultural green production.

In this study, the super-slacks-based measure (super-SBM) model is used to calculate agricultural green total factor productivity (AGTFP). The impact of climate legislation (including legislative acts and executive orders) on AGTFP is examined through regression analysis. The transmission mechanism of climate legislation affecting agricultural green production is further investigated.

This study shows that climate legislation has a positive long-term effect on AGTFP. It stimulates innovation in agricultural green technology but has a negative impact on resource allocation efficiency. Executive orders have a more significant effect on AGTFP than climate legislative acts. The effectiveness of climate legislation is more significant in countries with stronger legislation. Moreover, climate legislation reduces AGTFP in low-income countries while enhancing AGTFP in high-income countries. This effect is most prominent in upper-middle-income countries.

This study examines the different effects of various types of climate legislation, considering the level of economic development and the strength of the legal system on AGTFP. The findings can offer a global perspective and insights for China’s policymaking.

This study aims to assess the level of sustainability competencies among full-time students and professional students, foresee any noteworthy change in students’ competencies after applying teaching pedagogy and determine whether lecturing is an effective teaching pedagogy for developing all five sustainability competencies in both cohorts.

The presence and development of competencies after varying pedagogical practices are assessed using a pre-/post-test based on two case studies. This research approach of comparative case study is more advanced and is particularly useful when seeking to understand differences and similarities between distinct entities, which in our case were students of two different capacities. The study targets two cohorts: the first includes 15 professional students with considerable industry experience, while the second consists of 24 full-time students without industry exposure.

The study revealed that professional students have more sustainability competencies than full-time students. Also, lecturing is an effective pedagogical practice when all five sustainable competencies have to be enhanced in full-time students. In contrast, lecturing does not work for interpersonal competence in professional students.

There are certain limitations of the study that future researchers undermine. Firstly, the study was conducted only on business students at Bahria University. Secondly, the sample size for the study is small as the data were qualitative, and the researchers had time constraints. Thirdly, the effectiveness of only one teaching pedagogy has been gauged in the current research.

It is recommended that higher educational institutions (HEIs) of Pakistan introduce sustainability courses or programs to its students to spread awareness among learners and develop sustainable competencies. All service and production industries in Pakistan should train their employees in sustainable practices so that hazardous impacts in the future can be reduced. It is a need of time for the country to move a step ahead towards sustainable development goals.

This research contributes to education for sustainable development (ESD) in Pakistan. Pakistan is a developing country that is far behind ESD. Therefore, this study identifies how sustainability education can become a part of the academic system. It also identifies the need for sustainable education not only for students but also for professionals. It also identifies teaching pedagogy required for developing sustainability competencies and is relevant to learners’ exposure.

This study explores virtual platforms’ capabilities, particularly emphasising the influence of educational movies embedded with lifelike narratives to serve as a potent medium for immersive learning within the auditing discipline. Through this exploration, we aim to discern how cinematic depictions can educate and encapsulate the intricate dynamics of real-world auditing scenarios, thereby enriching the educational experience for budding auditors.

By employing an action research methodology, this study engaged 134 auditing students from China in an experiment, using a questionnaire to assess their grasp of auditing concepts like internal control, corporate governance, and professional ethics.

Preliminary findings underscore the efficacy of movies as pedagogical tools. These movie experiences bridge the gap between theoretical knowledge and its real-world application, particularly highlighting the nuances of professional ethics and corporate governance. Results show that such a method amplifies students’ comprehension of auditor skillsets, practical complications, and ethical insight and nurtures professional scepticism about tangible audit issues.

This study illuminates a novel virtual learning approach using movies that primes students to exercise critical thinking and augments cognitive skillsets, especially when navigating ethical conundrums. The broader implication is the potential enhancement of auditing education quality in China, presenting educators with an innovative teaching modality that bolsters students’ critical analysis and cognitive development.

This study has multiple implications for auditing education policy. It underscores the imperative need for curriculum revision in contemporary auditing education. Our study can significantly change contemporary auditing education by incorporating movie-based experiential learning. Educators and institutions in China and other parts of the world explore this avenue, customising it to fit the unique requirements of their respective courses and the country’s contexts. Our study also highlights the challenges and recommendations for real-world audit simulation for auditing education. While our research highlights the promise of educational movies, it also sheds light on the potential difficulties in their integration. Audit educators need adequate support and training for effective assimilation, ensuring they leverage educational movies to maximise learning outcomes. Careful curation and selection of movies, combined with strategic planning, are paramount to this teaching method’s success. With the continual evolution of video tools, there is an opportunity for a more immersive and holistic education model, shaping the next generation of auditors.

This study offers insights into innovative strategies to imbue real-world experience into traditional curricula, ensuring relevance and applicability across diverse educational landscapes.

This paper aims to illustrate a possible combination of critical success factors (CSFs) that best enhance firm performance and compare configurations of CSFs in ISO-9001-2015-certified and non-ISO firms in Bangladesh.

The study sample comprises individuals from the service and manufacturing sectors and ISO-9001-2015-certified and non-ISO firms. We have collected data from 229 respondents from 134 firms, including 64.5% from ISO-certified and the remaining 35.5% from non-ISO-certified categories. In this exploratory study, we performed a fuzzy-set qualitative comparative analysis (fsQCA) to identify the combinations of success factors that enhance performance.

The results of this study capture the causal complexity surrounding the CSFs and firm performance. We found six configurations for ISO firms and five for non-ISO firms that enhance firm performance. Besides, the necessary conditions for firm performance of ISO firms slightly differ from those of non-ISO firms. Thus, the empirical results highlight the importance of equifinality and complementary relationships between conditions relating to quality management systems to increase firm performance. A significant difference was found between ISO-9001:2015-certified firms and non-ISO firms.

A significant limitation arises from the sample’s inclusion of only Bangladeshi firms; a cross-cultural study could add new dimensions to the configurations. Understanding how these CSFs vary and need a longitudinal approach is essential.

Our configurational approach provides new insights into the complex dynamics of eight CSFs with a holistic approach. Instead of focusing on the additive linear net effects of CSFs on firm performance, we explain how the CSFs of TQM implementation combine into multiple combinations. By doing so, we show multiple equifinal pathways to firm performance.

Artificial Intelligence (AI) technology, having powerful capabilities and rapid development, has been able to move the structures of businesses and organizational processes towards intelligent automation. The role of digital transformation in universities and educational institutions has an increasing trend. New business structures and the digitization of processes, other than the advantages they bring about, might have different effects on the environment and sustainability. This study aims to identify the effective factors on AI adoption and the effect of using this technology in educational institutions and universities on their sustainable performance.

This research is applied using a quantitative approach. Universities selected for the study were ranked by Quacquarelli Symonds (QS). Of the 111 QS listed universities in the Middle East in 2023, 30 universities were randomly selected, and the research questionnaire was emailed to 50 people (administrative, educational and research staff) from each university. Information related to the level of AI technology acceptance and use was collected using a questionnaire among the university staff and faculty members; moreover, their relationship with universities’ sustainable performance scores was assessed. Path analysis and Smart PLS software have been used for data analysis.

The research findings showed that factors of technology performance, enjoyment, trust, social influence and organizational capabilities all have positive effect on AI adoption at universities. Also, the adoption of AI is considered as an effective factor in improving university sustainable performance. Therefore, based on exact data analysis using AI, universities can manage their activities and better control their environmental performance. Also, the use of AI can be effective in the availability to sustainable education in universities and the establishment of social justice in society. Accordingly, to facilitate executive processes and decision-making, policymakers in the field of science and university principals can improve administrative, educational and research processes via investing on AI, in addition to improving environmental activities and sustainable development.

The theoretical contribution of this research, other than designing an AI acceptance model for universities includes evaluating the relationship between using AI and university sustainable performance.

This study provides a configurational examination of how policy designs influence the innovation performance of the emergency industry in China.

This study employs the Data Envelopment Analysis Malmquist index (DEA-Malmquist) to quantify the innovation performance of the emergency industry and then codes the innovation policies to calculate the syntactic components based on institutional grammar tools (IGTs). The configurations of syntactic components were determined by applying the fuzzy-set qualitative comparative analysis (fsQCA).

The results indicate that rules- and norms-oriented policy designs would improve the innovation performance of China's emergency industry. In the developed provinces, the “Deontic” and “aIm” combinations in the policy are useful for improving performance. In the developing provinces, the ambiguity of the “aIm” and “Context” conditions in the policy is leading to low performance. Additionally, a lack of strategy-oriented policy design would also result in poor performance.

Most previous studies used substitute variables to understand policy impacts. This study contributes to identifying the impacts of the syntactic components of policy designs on the innovation performance of the emergency industry. The findings can assist policymakers in developing more effective policies to stimulate innovation development in the emergency industry.