Artificial Intelligence (AI) has become essential to Electronic-Commerce technology over the past decades. Its fast growth has changed the way consumers do online shopping. Using the Technology Acceptance Model (TAM) as a theoretical framework, this research examines how AI can be made more effective and profitable in e-commerce and how entrepreneurs can make AI technology to assist in achieving their business goals. In this regard, an online survey was conducted from the online purchasers of e-commerce firms. The Partial Least Square (PLS) Smart was used to examine the data. The broadly used TAM was identified as an appropriate hypothetical model for studying the acceptance of AI technology in e-commerce. The findings of this study show that Subjective Norms positively impact Perceived Usefulness (PU) and Pursued Ease of Use (PEU), trust has a positive effect on PEU, and PEU positively impacts PU and attitudes toward use. Similarly, PU also has a positive effect on attitudes toward use and intention to use. Furthermore, the findings do not support the impact of Trust on PU and attitudes towards behavioural intention to use. Lastly, behavioural intention to use positively impacted the actual use of AI technology. This study adds theoretical and practical knowledge for adopting the TAM model in the E-commerce sector. It helps entrepreneurs to implement the TAM model in their business to use AI in a better and more appropriate way.

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.

The study investigates the relationship between green production, green technology, waste reduction, energy use, and sustainability. A Partial Least Squares Structural Equation Modeling (PLS-SEM) approach was used for analysis. The data was collected from a sample of companies in the textile industry. The results suggest that green production and technology positively and significantly affect waste reduction and energy use, which mediates the positive relationship between these two factors and sustainability. This study concludes that green production and technology are critical drivers of sustainability and emphasizes the need to prioritize waste reduction and energy use in sustainable manufacturing practices. The study has practical and managerial implications in all production or manufacturing industries and provides a guideline for managers and policymakers to ensure sustainability.

Digitalization has brought a significant improvement in process optimization and decision-making processes, in particular in pursuing the goal of sustainability. This study examines how digitalization has affected process optimization and decision-making towards sustainability, focusing on Pakistan’s manufacturing sector. This study also examines the moderating role of environmental regulations between digitalization and sustainable practices. This study is based on quantitative methodology. Purposive sampling was used to gather primary data from 554 managers and engineers working in manufacturing industries in Pakistan through a closed-ended questionnaire. Smart PLS was used for data analysis. The findings show digitalization’s positive and significant influence on process optimization and decision-making. The results also show that environmental regulations have a significant moderating effect on the digitalization of processes and decision-making towards sustainability practices. The findings provide a guideline for industries, decision-makers, and researchers for developing strategies that effectively use digitalization for sustainability and assist in achieving the Sustainable Development Goals (SGD-9, SGD-11, SGD-12, and SGD-13).

Information technology is one of the most rapidly growing technologies globally. Over the last decade, its usage in healthcare has been remarkable. Over the last decade, its usage in healthcare has been remarkable. The study examines the impact of various factors as barriers to adopting the information system in healthcare. These factors are categorized into three major types: external attacks, which include phishing attacks and ransomware; employee factors, including lack of skills and the issue of information misuse; and technological factors, including complexity and vulnerability. The findings show that external attacks and technological factors are the main barriers to adopting information systems, while employee factors have no significant impact on the adoption of information systems in the healthcare industry of Pakistan. The study provides implications for healthcare policy makers, professionals and organziations regarding the successful adoption of health information system.

Digitization has completely changed the landscape of supply chain management, which enables businesses to streamline their processes and attain higher levels of profitability and sustainability. This study investigates the relationships between digitalization and supply chain elements, particularly integration, communication, operation, and distribution, and their effects on corporate profitability and sustainability. The research is based on an empirical investigation conducted through a questionnaire survey of agri-food industries in Pakistan. PLS-SEM was used for the analysis of data. The results show a positive relationship between digitalization and supply chain integration, processes, operation, and distribution. Moreover, a positive and significant relationship exists between digitalized supply chain integration, processes, operation, and distribution with business profitability and sustainability. The research concludes that the synergistic effect of digital advancements leads to increased business profitability and sustainability. Business organizations may put themselves at the forefront of supply chain excellence by adopting digitalization, benefiting from effective integration, communication, operations, and distribution with increased profitability and sustainability. The findings have a lot of practical and theoretical implications for the excellence of supply chain management and help attain several sustainable development goals, e.g., SDG-8, SDG-9, SDG-11, and SDG-12.