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 purpose of this study was to find out which one of the four selected predictor variables, i.e., leadership, trusting beliefs, role values, and information security policy awareness are most influential in predicting employees’ intention to comply with organizational information security policy. An instrument with five constructs was administered to subjects from a higher-education university in the USA. Collected data were methodically examined through multiple regression analysis. Results indicated that all four predictor variables were influential in predicting employees’ intention to comply with organizational information security policy requirements. Implications of the findings are discussed and recommendations for future research are made.

The rapid development of Fintech (financial technology) urges Fintech platforms to better understand users’ perceptions and behaviors toward Fintech use. Based on the theoretical framework of trust, risk perception, platform governance, and information system continuous use theories, we construct a model to explore how users’ different trust perceptions on Fintech platforms affect their risk perception, platform governance perception, and continuance intention of using Fintech. Our findings indicate users’ institutional trust, technology trust, and interpersonal trust all impact their risk perception, perception of Fintech platform governance, and continuance intention to use Fintech in different ways and magnitudes. Furthermore, platform governance perception mediates between institutional trust, interpersonal trust, and continuance intention. Our research helps the practitioners of Fintech platforms attract and retain users in the highly competitive market and provides a reference for the governance of their platforms.

This study investigated the use of digital media, specifically social media technologies, in the workplace in Taiwan. The data for this study were collected through an online survey. Participants responded to questions asking whether social technologies could be a source of empowerment, leading to equality. Respondents included female and male employees. The findings reveal that both genders use social technology platforms for business support, experience benefits, and believe that these technologies could provide empowerment for success. Detailed results are reported in this paper, including a comparative analysis. The differences between women and men using Facebook and YouTube were significant. Women in Taiwan have a higher awareness of the benefits of social technologies, specifically Facebook, when used for business support and empowerment. This paper reveals a comparison between the attitudes of women and men when using social technologies and investigates the realization of the economic empowerment component.

This paper replicates a previous study that used an active learning for knowledge construction in the e-learning model with three stages of underpinning, ownership, and engaging hypothesizing that the underpinning and ownership stages positively and significantly contribute to the engaging stage where the actual knowledge construction takes place. The findings of the present study have ensured the validity and the generalizability of the previous study results. Also, the findings reiterated the efficacy of the model for active learning for knowledge construction in e-learning. The paper concludes with implications and recommendations for future research.