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Today’s world is characterized by rapid technological advancements and escalating ecological concerns including soil and water contamination, acidification, biodiversity loss, excessive waste, etc.; a need is continuously increasing to mitigate these issues and promote sustainability. This study investigated the impact of digitalization on resource use, energy use, waste reduction, and the moderating role of environmental awareness towards sustainability in the manufacturing sector of Pakistan. A quantitative-based approach was used and primary data were collected from the 650 managerial-level manufacturing sector employees from Pakistan by using a closed-ended questionnaire and purposive sampling. Structural equation modeling (SEM) using SmartPLS-4 was employed to analyze the data. Digitalization showed positive and significant effects on energy efficiency, waste reduction, and optimal resource utilization—all of which were significantly associated with sustainability. In addition, the results also showed that environmental awareness functions as a moderator, influencing the impact of digital technologies on resource use, energy use, and waste reduction. The study highlights the potential of digitalization for promoting sustainability by enhancing resource consumption efficiency in the manufacturing industry. It also underscores the importance and need for environmental awareness in adopting digital transformation. The study has major implications for governments, engineers, policymakers, and researchers to promote digital transformation in the manufacturing sector and provide support in accomplishing the Sustainable Development Goals, i.e., SGD-7, SDG-9, SDG-11, and SDG-12.

Adoption of a health information system is always a challenge for hospitals. It is because most of the medical staff do not have enough skills to use the new technology and due to the sensitivity of medical data. These factors pose a challenge for the successful adoption of health information system in hospitals. The aim of this research is to find out the factors which influence the adoption of information systems in hospitals. The study investigated the impact of the Financial status of the Hospital; Perceived Usefulness and Perceived Ease of Use on the adoption of health information systems through a questionnaire survey. Data was collected from 602 healthcare workers from 20 hospitals through close-ended questionnaire in Pakistan, where the adoption of health information systems is very slow. PLS-SEM was used for the analysis. The findings show that the Financial status of the Hospital; Perceived Usefulness and Perceived Ease of Use have positive and significant role in the adoption of Health Information Systems. The finding also shows that hospital size moderates the relationship of Perceived ease of use and the adoption of health information systems and interestingly it does not moderate the relationship among perceived usefulness and financial strength toward the adoption of health information systems. The study concludes that perceived ease of use, perceived usefulness and financial strength are the main factors, necessary for the adoption of health information systems. The findings of the study have useful implications for policy makers, medical professionals to successfully adopt health information systems in hospitals. It also provides new avenues for researchers to explore other factors and test this framework in other countries.

The increasing popularity of electric vehicles (EVs) as green alternatives to traditional internal combustion engine cars has highlighted the need for sustainable and environmentally friendly supply chain models. In particular, the handling of EV batteries, which are environmentally unfriendly and logistically critical due to their hazardous nature and short life cycle, requires a well-designed closed-loop supply chain (CLSC). This study proposes a new multi-objective optimization model of the CLSC, explicitly tailored to EV batteries under demand and return rate uncertainty. The proposed model incorporates three primary objectives that are typically in conflict with one another: minimizing the total cost, reducing carbon emissions throughout the entire supply chain network, and maximizing the recycling and reuse of batteries. The model employs a neutrosophic goal programming (NGP) methodology to address the uncertainties associated with demand and battery return quantities. The NGP model translates multiple objectives into non-monolithic goals with crisp aspiration levels (i.e., prescribed ideal levels for achieving the best of each goal) and thresholds that capture tolerances, thereby accounting for uncertainty. The efficiency of the proposed method is illustrated by a numerical example, solved using a IBM ILOG CPLEX Optimization Studio 22.1.2 solver. The findings demonstrate that the NGP can offer cost-effective, low-impact, and environmentally friendly solutions, thereby enhancing system robustness and flexibility to adapt to uncertainties. This study contributes to the emerging literature on sustainable operations research by developing a decision-making tool for EV-HV battery supply chain management. It also offers relevant suggestions for policymakers and industrialists who seek to co-optimize economic benefits, ecological sustainability, and logical feasibility in the emerging green society.

Sustainability is one of the fastest-growing research areas globally. Irrespective of industry and economic activity, it is the need of the day. This study examines the impact of green process innovation and green production on sustainability in Pakistan and India’s cement and plastic manufacturing industries. The study also addresses the moderating role of environmental awareness, which increases the effect of green productivity and green innovation towards sustainability. The research is based on a quantitative approach to addressing the issue in question. Primary data were collected via a closed-ended questionnaire from 657 employees of Pakistan and India’s plastic and cement manufacturing industries, and were analyzed via partial least square structural equation modeling via SmartPLS. The findings show that green productivity and green process innovation have a significant impact on sustainability, while environmental awareness also plays a significant role in sustainable practices in the cement and plastic manufacturing industries of Pakistan and India. The results are helpful for policymakers, industries, and other governmental and non-governmental organizations to ensure sustainability through green process innovation, green productivity, and environmental awareness.

Purpose This study aims to find out the role of green curriculum (GC) in making a green generation (GG) and ensuring sustainability. The study considers the green curriculum a key factor for understanding environmental values orientation (EVO) and adopting pro-environmental behaviors (Pr-EnB) for social, economic, human and environmental sustainability. Design/methodology/approach The study is quantitative and cross-sectional. Partial least square-structural equation modeling was used to test the research model and data which was collected through a questionnaire survey from university faculty and students in Pakistan, Saudi Arabia and China. Findings The findings show that the GC has significant positive effects on EVO and pro-environmental behavior. However, it has no significant effect on social sustainability. There is a positive significant effect of pro-environmental behavior on economic, environmental, human and social sustainability. Whereas, environmental orientation has no significant effect on economic sustainability but significantly influences environmental, human and social sustainability. GC has no significant effect on economic, environmental and human sustainability. However, when considering the combined effects of GC and environmental values orientation or pro-environmental behavior, significant positive effects were found on economic, environmental, human and social sustainability. Research limitations/implications The result suggests that implementing a GC positively influences environmental orientation, pro-environmental behavior and various dimensions of sustainability. Practical implications These results have implications for educational institutions and policymakers aiming to promote sustainability through green curriculum and help in the attainment of sustainable development goals. Originality/value The study fulfills an essential need to obtain sustainability and sustainable development goals through education.

As the outlines of the new world of work in what is known as the d are taking shape, the new reality is making its impact on the millions of individual workers across the world. The way individuals respond to these changes will largely determine their success and future career prospects. Still, the mechanism of individual response to the changing working environment is not yet fully understood.Building upon the Social Cognitive Theory and The Dynamic Capabilities perspective applied within the Socio-Technical System model, this study proposes a conceptual model of individual response to fundamental changes in the working environments. Specifically, the model envisions response as a process where dynamic external factors (global competitive pressures, emerging innovating technologies, and future work prospect) lead to development of strategic planning and operational implementation practices. These, in turn, determine work performance outcomes such as employment flexibility, technology solution, and social influence. The research aims to test the relationships between these factors. The study will apply a mixed methods research design to examine employment trends, as well as interviews and surveys with individuals drawn from the population of work professionals in different industries and career paths. The study will offer implications of theoretical and practical nature and provide avenues for further research in the field of individual responses to changing nature of work.