The field of green supply chain is expanding rapidly, and new authors are venturing in this field to conduct further research. Although some literature reviews have beeen conducted over time, a complete list of green supply chain practices is not available. Hence, the objective of this study is to present an up-to-date list of green supply chain practices. To achieve this, the study employed structured review process, as well as critically examined the contents to ensure that the data are filtered from high-quality peer-reviewed journals and from influential authors in this field. 91 high-quality papers were selected from top ten journals in GSCM area to produce the list. A total of 58 green supply chain practices comprising 15 aspects were featured, e.g. reverse logistics, industrial symbiosis, green information technology, green design, carbon management etc. This paper contributes to the existing literature by providing a comprehensive list of aspects and practices of the green supply chain. Finally, limitations and directions for future studies are provided in the conclusion section.

The digitisation is prompting education, particularly higher education at a very fast pace. Higher education institutions (HEIs) are in imperative need to implement modern technologies to stay digitally relevant and differentiate them as a digital leader. Though many universities have specific digital plans and strategies, yet implementation of these up to the highest standards is something many institutions lacking. The present study emphasised that HEIs are in need to grapple with the impacts of a progressively digital world. The emerging technologies and their effects on establishment of a digital campus have been investigated and enlightened. Furthermore, the possible barriers and the ways to harness digitalisation successfully have also been discussed. The study, finally, proposed a digital model for HEIs to implement a digital strategy for the entire institution to reap the benefits attached to the technological progression. The present study will guide HEIs to understand the imperative need of digital strategic plans and assist in the adaption of the digital change.

The current study explores metaverse adoption among higher education institutions (HEIs) in the light of a theoretical framework to empower future perspectives of the metaverse as a learning platform. Even though this technology was just recently introduced to the higher education sector, very few attempts have been made to evaluate its impact. The purpose of this research is to analyze the elements that influence the continuous intention (CI) to utilize the metaverse technology in learning. The technology acceptance model (TAM) and the self-determination theory (SDT) are both included in this study. A questionnaire was developed and distributed to students attending private universities in order to obtain the data that was needed for the proposed model. Using a hybrid approach that consists of partial least squares structural equation modeling (PLS-SEM) and an artificial neural network (ANN) model, which combines a linear PLS model with compensation and a nonlinear ANN model without compensation, the effect of CI on using the metaverse as a learning platform is investigated. This approach was chosen because it contains both of these types of models. When it comes to explaining the use of metaverse technology among students attending higher education institutions in Egypt, the research findings suggested that autonomy and perceived usefulness (PU) are major determinants. Nevertheless, the continuing intention was unaffected by the perceived ease of use (PEOU) of the product. Furthermore, according to the data provided by the ANN model, the most significant predictors are relatedness, PEOU, autonomy, and PU. It has been determined that the results obtained from the PLS-SEM and ANN modes are identical. Additionally, both theoretical and practical implications are discussed in this article.

Mobile banking is an advanced form of traditional banking. In Bangladesh, despite the initiatives by the banking companies to continuously upgrade their facilities to support mobile banking, customers' adoption rates are still low. Thus, the aim of this study is to investigate the factors influencing the behaviour of customers to adopt mobile banking. By adaptation of the unified theory of acceptance and use of technology (UTAUT), the study used partial least square (PLS) and structural equation modeling (SEM) to achieve the result. It was found that all the factors listed are significantly influencing the behaviour of the customers, except the factor of performance expectancy. The study concluded that the mobile users outside Dhaka, the capital city of the country, are not much aware of mobile banking as compared to mobile users in the capital city. By extending the previous study, this study contributed to the existing literature and to the body of knowledge in general. The theoretical and managerial implications, as well as the directions for future research were also stated.