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This study investigates the implications and significance of immersive technologies (viz. metaverse, virtual reality, and extended reality) in organizational learning and development.

Employing a strategy map (using Biblioshiny) and network analysis (using VOSViewer), the study analyzed a total of 189 Scopus-indexed documents, spanning the period 1997 to 2023.

The findings revealed four thematic clusters, knowledge management, training, e-learning, and technology. Each cluster provided insights into the various facets of development and learning in respect to these technologies. The strategy map identified key themes, revealing core ideas, emerging trends, and foundational concepts within the domain.

Organizations can utilize this study to incorporate metaverse, virtual reality, and extended reality in organizational development, optimizing training and boosting employee experience and productivity.

While most literature delves into the technical side of immersive technologies, our study uncovers their impact on development and learning in organizations, addressing a critical research gap and offering a guiding framework.

The purpose of the study is to identify drivers of mobile massive open online course (MOOC) continuous intention (CI) through the lenses of customer perceived value (CPV) theory. Consumer choice is successfully explained by CPV, but lesser attention is given to linking the theory to the mobile MOOC context whereby the majority of theories have adopted approaches like technology acceptance model (TAM), unified theory of acceptance and use of technology (UTAUT), etc.

A mix-method approach was employed. Study A (qualitative), explores context-specific perceived value (PV) dimensions using nethnographic analysis of 627 learner reviews on Corsera app. Study B (quantitative), collects primary data by administering a questionnaire based on dimensions, and 231 responses were then analysed using structural equation modelling.

The results revealed that three context-specific PVs (i.e. pedagogy, interface and content) have a positive and significant impact on CI. Pedagogy value is a chief driving force of mobile MOOC CI followed by content value. Ubiquity value demonstrated insignificant impact.

The findings provide insights for MOOC apps and their developers for formulating better value propositions for ensuring sustainable business which may result in gaining a higher share in the growing mobile learning market.

This study bridges an important gap in mobile MOOC literature by providing a novel approach to investigating what drives mobile MOOC CI through the lenses of CPV theory. It is the first study investigating mobile MOOC CI through the specific CPV dimensions identified by employing a mixed-method approach. The study formulates a conceptual framework that may serve as a foundation for future research on mobile MOOCs for which literature is relatively scant.

This study aims to explore customer perceived value (CPV) dimensions in the context of free mobile educational applications (EduApps) which are paramount in learning-based digital start-ups and are essential for the implementation of circular economy (CE). The purpose of the present study is to identify dimensions of CPV specifically for EduApps and propose a conceptual model that would assist the digital start-up decisions which in turn can be a catalyst in navigating to a CE.

The study uses the Netnography approach by analyzing online user-generated content. A total of 13,147 reviews posted on the Google play store after using top free education apps were coded using ATLAS.ti 9 software.

Major dimensions of context-specific CPV are identified as technical value, content value, pedagogical value, gamification value and learning value. Subdimensions and items are extracted for each of these dimensions.

The larger subscriber base drives sponsorships, advertisements and donations which underpin the business model of free EduApps. This can be obtained through an attractive value proposition. Identifying context-specific value dimensions would aid entrepreneurs in optimal value mix development decisions. The proposed framework can be utilized by both researchers (for scale creation, comparative studies and quantitative studies) and practitioners (for entrepreneurial decisions on better value propositions).

CPV successfully describes consumer decision-making, but less attention is paid to linking the theory to the setting of mobile learning apps, where the bulk of research is focused on techniques like TAM, UTAUT, etc. In addition, studies identifying CPV from mobile apps with a specific focus on EduApps are sparse. Extant literature in this context is either based on a foundation of in-store business value dimensions or dominated by technical aspects when focused on the context of mobile apps. The current study bridges this gap.

Food SMEs is the backbone of local and world economy. Even while food SMEs are aware of the potential advantages of implementing supply chain analytics (SCA), only a small number of companies use data-based decision-making. This is because of technophobia. In light of this, the purpose of this study is to investigate the factors that have an impact on SCA adoption which in turn influence the sustainable performance of firms.

The data were collected from 221 managers working in food-related SMEs in China by using a questionnaire-based survey. The framework of this study was validated using a rigorous statistical procedure using the technique, namely, partial least squares structural equation modelling.

The findings of this study suggest that all modified UTAUT components (i.e. performance expectancy, effort expectancy, social influence, facilitating conditions and technophobia) significantly influence SCA adoption. Moreover, the existing study highlights and confirms the significance of adopting SCA to improve sustainable performance.

This research is novel, as it extends and investigates the theoretical framework based on UTAUT theory in SCA context and its impact on sustainable organizational performance. In addition, the factor of technophobia is tested in SCA context. This study has several contributory managerial implications for food SMEs.

The study aims to reflect on past research, uncover current trends and propose a future research agenda in the field of artificial intelligence (AI) for competency-based personalised learning.

The study followed the SPAR-4-SLR protocol to retrieve 855 articles related to the field indexed in the Scopus database. Performance analysis, network analysis and science mapping were then performed using VOSviewer and the Biblioshiny app.

The analysis identified nine clusters of intellectual structure (healthcare, competencies, learning systems, digital transformation, AI literacy, computer-aided education, AI ethics, e-learning and active learning) and twelve themes (including motor, basic, emerging and niche).

Following an extensive review of the literature, this would appear to be the first study to provide a panoramic view of AI for competency-based personalised learning based on the Scopus database. The core gaps in the current literature have been identified and the corresponding future agenda will be instrumental in shaping future research directions in the field.

The study aims to investigate how artificial intelligence (AI)-powered virtual streamers can supercharge brands in live-streaming virtual commerce (v-commerce). Built upon social identity theory (SIT) and experiential value theory, we developed a framework to investigate the impact of AI-powered virtual streamers’ personalization and human-like personalities and live-streaming v-commerce’s system quality and content quality on brand image, mediated by parasocial interaction and experiential value.

A survey was designed and distributed to the target respondents via social media channels. SmartPLS version 4.0.9.4 was used to analyze a total of 354 responses after the data were obtained via purposive sampling.

The results show that personalization, human-like personality, system quality and content quality are positively associated with parasocial interaction and experiential value, which subsequently impact brand image.

This study addresses the gap of relatively sparse academic literature on the implications of AI-powered virtual streamers in live-streaming v-commerce on brand image.

Despite its importance, the literature on women financial inclusion (WFI) remains fragmented due to the absence of a comprehensive review that consolidates the intellectual structure of the field. This paper examines the intellectual structure of the topic and gives a complete overview of the research undertaken so far in the field.

A bibliometric study of 235 Scopus-indexed publications, including citation analysis, keyword network analysis, co-authorship analysis and reference co-citation analysis using VOSviewer was performed.

The study identified major contributors to the field (the most prolific author was Ghosh, S.), the leading journals in the field (the World Development), the geographical locations where research in the field is concentrated (India is the leading country) and the organisations focussing on green consumer research (leading organisation: The World Bank, USA). In addition, four significant themes that describe the body of information about women's financial inclusion were found.

This study provides policymakers and academic scholars with fresh insights at a higher level into this burgeoning topic. Such insights would aid in the development of initiatives to address women's financial inclusion concerns.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2022-0438.

The purpose of this study is to map the research landscape on the topic of waste management in the business and management domain, with a particular emphasis on pro-environmental ethical behaviour. The objective is to evaluate publication performance, identify key stakeholders, investigate major clusters, recognise the evolution of themes and offer a research agenda for the future based on bibliometric reflection.

Preferred Reporting Items for Systematic Review and Meta-Analysis procedure was used to extract and choose a total of 609 publications from the Scopus database from 1985 to 2022. The research then does bibliometric analysis with the open-source R application bibliometrics. The authors used a number of tools and techniques, including a collaboration network, word dynamics, co-occurrence network, thematic map and strategy map.

The analysis identifies most prolific stakeholders, key clusters and evolving themes in the field. The motor themes, niche themes, basic themes and emerging themes of the field were identified, and future research agenda is proposed based on such identification.

To the best of the authors’ knowledge, this is the first bibliometric study in the field of waste reduction, providing a comprehensive view of the research landscape by analysing more than 50 years of literature focussing on behavioural aspects. These findings could assist policymakers in identifying waste management/reduction priority regions and developing policy guidelines for a more sustainable waste practise. In addition to providing recommendations and future directions for academic research, this report also includes these elements.

This study integrates the theories of perceived value and human-robot interaction to develop a framework for examining the influence of artificial intelligence-based service chatbot’s (AI-BOT) attributes on user stickiness (US) in the context of human-centric services. The study specifically examines the mediating role of perceived competence (PC) in the association between AI-BOT attributes and the US. It also examines how perceived empathy (PE) moderates the correlation between PC and US.

The empirical data was collected through a self-administered questionnaire from 470 respondents with prior experience of interacting with AI-BOTs. The data was analysed using SMART-PLS by performing structural equation modelling.

The study found a positive and significant impact of selected AI-BOT attributes on US. Among all selected attributes, personalization had the strongest impact on PC and recommendations had the strongest impact on US. Responsiveness did not emerge as a contributory factor for generating PC. This paper confirmed the mediating role of PC among relationships between selected attributes and US but such mediation was minor. PE moderated the relationship between PC and US negatively.

This study provides novel insights by identifying that PE dampens the relationship between PC and US. Additionally, it provides a framework to stimulate the US for AI-BOTs by combining technical aspects (human-computer interaction theory) with value aspects (theory of perceived value) and by positioning constructs specific to human-centric services. All in all, the study offers a dual-layered perspective regarding value-in-use resulting in a comprehensive understanding of human-technology interactions during human-centric service encounters.

Robotic Process Automation (RPA) is a digital transformation tool that demonstrated tremendous growth in research output as well as its application in the past decade. This study attempts to identify essential research gaps and proposes future research agendas in the field by analyzing publishing trends, major stakeholders (authors, countries, affiliations, journals), key clusters and evolving themes by mapping the most recent research (2016–2022) in the field.

Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) was used to retrieve a total of 244 publications from the Web of Science (WOS) database for this analysis. The study then uses the open-source R program bibliometrix to conduct bibliometric analysis. A variety of tools and methods including collaboration network, word dynamics, co-occurrence network, thematic map and strategy map were utilized.

The analysis reveals the most influential stakeholders (country: the USA, author: Arai K, affiliation: Christ Deemed University), main clusters of intellectual structure (process mining, digital transformation, blockchain, information systems) and the evolution of themes (model innovation, artificial intelligence, big-data, design science and user acceptance) in the subject.

This study uses bibliometric analysis to provide a comprehensive overview of RPA literature which unravels the conceptual structure of the stream and proposes a research agenda for the future. Based on the growth of themes and the strategy map, this study may assist entrepreneurs and practitioners in determining field priorities for strategizing process innovation.