The term metaverse is described as the next iteration of the Internet. Metaverse is a virtual platform that uses extended reality technologies, i.e. augmented reality, virtual reality, mixed reality, 3D graphics, and other emerging technologies to allow real-time interactions and experiences in ways that are not possible in the physical world. Companies have begun to notice the impact of the metaverse and how it may help maximize profits. The purpose of this paper is to offer perspectives on several important areas, i.e. marketing, tourism, manufacturing, operations management, education, the retailing industry, banking services, healthcare, and human resource management that are likely to be impacted by the adoption and use of a metaverse. Each includes an overview, opportunities, challenges, and a potential research agenda.

The behavioural intention to adopt Blockchain for supply chain management (BCSCM) is studied in this paper. The research framework adopted considers how Performance Expectancy (PE), Effort Expectancy (EE), Facilitating Condition (FC), Technology Readiness (TR), Technology Affinity (TA) and Trust (TT) can lead to the adoption of the technology. Data gathered from 157 firms is analysed using SPSS version 2 while the quality of the measurement is tested using WarpPLS. Findings revealed that FC, TR and TA have a positive influence on intention to use BCSCM and regulatory support moderates the effect of FC. This study offers valuable insights into the applicability of Blockchain technology for supply chain management.

Purpose: – The purpose of this paper is to uncover the effects of perceived transaction convenience (PTC) and perceived transaction speed (PTS) on unified theory of acceptance and use of technology (UTAUT) in the context of m-payment.Design/methodology/approach: – A predictive analysis approach was used to examine the PTC and PTS using a two-stage partial least square (PLS) and neural network (NN) analyses.Findings: – The findings reveal that only effort expectancy (EE) and facilitating conditions (FC) were discovered to significantly influence BI. More importantly, PTC was found to have positive significant relationship with EE and performance expectancy (PE). Moreover, PTS also supported the positive relationship with BI and EE.Practical implications: – The findings of the study provided further insights to mobile payment service providers, online banking industry players, and all decision makers and stakeholders involved.Originality/value: – Despite of many attempts devoted to understand m-payment adoption, the effects of PTC and PTS on m-payment are not well understood.