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This study aims to integrate Delone and McLean’s information system success (DMISS) model with the innovation resistance model to evaluate the relationship between behavioural intention to use (BIU) and innovation resistance in the context of neo-banking. The primary objective of this study is to identify the drivers of neo-banking adoption and the barriers to its adoption and incorporate constructs such as e-trust (ETR) and personal innovativeness (PIV) to provide a more comprehensive understanding of the factors influencing neo-banking adoption.

A structured survey-based questionnaire was used to gather data from a diverse sample population in India. The Partial Least Squares Structural Equation Modeling (PLS-SEM) model was employed to further examine the adoption of neobanking services and users' intention to use neobanking services.

This study reveals a significant correlation between BIU and the uptake of neobanking services, demonstrating the value of consumers' readiness to embrace these offerings. However, resistance to usage has emerged as a major obstacle for consumers concerned about data security, technology reluctance and perceived risks associated with digital-only neobanks.

Analysing the driving and restraining factors will provide substantial information on the formation of consumers' decision-making processes in the Indian banking industry, which is undergoing rapid digital transformation. This information is of great importance to scholars, practitioners and policymakers, as it highlights the factors that may facilitate or impede the adoption of neobanking in India. The outcomes of this analysis will be of particular interest to researchers, experts and stakeholders in the field as they will provide valuable insights into the dynamics of consumer behaviour in the Indian banking sector.

This study represents an initial effort to examine BIUs and usage resistance within the rapidly developing neobanking sector in India. The findings of this study build on the existing research in this area and contribute to the ongoing discussion on the adoption of neo-banking.

The purpose of this paper is to investigate the impact of two dimensions of technological relatedness, namely technological similarity and complementarity, on collaborative performance, plus the mediating role of collaboration network stickiness and the moderating role of partner expertise and geographical distance in interfirm collaboration contexts.

This study takes Chinese Scientific and Technological Achievements (STA) of inter-firm collaboration in five high-tech fields in 2010–2020 as the sample and uses OLS regression to test the hypothesis.

Technological similarity and complementarity positively affect collaborative performance. Partner expertise negatively moderates the relationship between similarity, complementarity and collaborative performance. Geographical distance positively moderates the relationship between similarity and collaborative performance while negatively moderates that between complementarity and collaborative performance. Collaboration network stickiness partly mediates the relationship between similarity and collaborative performance.

This study expands literature on inter-firm collaboration, especially research on the antecedents of collaborative performance. Moreover, this study not only compensates for lack of empirical analysis in partner selection research, but also utilizes second-hand data to enhance the objectivity of analysis. Additionally, we enrich the research on the moderating role of partner expertise and geographical distance as well as the mediating role of collaboration network stickiness.

This paper aims to explore the impact of metaverse technology on the hospitality and tourism industry. The introduction of metaverse technology has revolutionised the way the hospitality and tourism industry works. In the present study, the authors have investigated the role of social media marketing in the adoption of metaverse technology in hotel booking in India.

An extended technology acceptance model was proposed for an empirical investigation in the Indian context. Sample of 344 respondents was collected across India using a purposive sampling technique for the purpose of data analysis. The structural model analysis is used to analyse the data collected from the respondents using the SmartPLS software to check the structural and the measurement fit of the model.

The adoption intentions were largely influenced by the utility, attitude (ATT) and ease of use of the technology, and social media marketing plays a major role in influencing the perceived usefulness (PU) and ease of use (PEU). The study finds positive ATTs of the customers for using metaverse technology for booking their hotels. PU and PEU significantly influence the ATT of the consumer indicating the traveller’s perception of the usefulness and ease of metaverse technology influence their ATTs towards adoption.

Influence of metaverse technology is at a nascent stage in India specifically for hotel booking and tourism. The authors have used discriminant validity by using the criteria for both the square root of the average variance extracted and heterotrait–monotrait ratio tests, and the results suggest that the constructs in the research are distinct from other.

The purpose of this paper is, through an exploratory analysis, to identify good practices implemented by international museums in the phygital context and their classification in terms of customer experiences, in order to identify innovative cultural value creation and co-creation practices.

The authors adopt a qualitative approach of multiple case studies. The analysis conducted formed the information base through which to proceed with the classification of phygital customer experiences through the extended reality technologies framework

The analysis conducted on the selected international museums shows that the phygital formula can take on different characteristics depending on the technologies used and the purpose to be achieved and can be a useful tool for the co-creation of cultural value.

The originality of this contribution lies in the comparative analysis proposed among the case studies to intercept best practices in the phygital field, in the classification of phygital experiences through a novel frame of reference and in the identification of prospects for improvement of an emerging phenomenon in the literature on cultural sector management.

This paper aims to examine how the fields of social enterprise, social entrepreneurship and social innovation have theorised and applied the concepts of narrative and storytelling.

A literature review and subsequent thematic analysis were used. A keyword search of three databases identified 93 relevant articles that were subsequently reviewed for this paper.

Four main roles for storytelling and narrative were found in the literature: to gain support for social innovation, to inspire social change, to build a social-entrepreneurial identity and to debate the meaning and direction of social innovation itself.

Following the literature review, capacities and applications of storytelling and narrative in other, related fields are discussed to highlight practical use cases of storytelling that might currently be underdeveloped in the social enterprise and innovation sectors.

The paper argues that the social innovation and enterprise literature predominantly views storytelling as a form of mass communication, while often overlooking its ability to foster communal debate and organise intrapersonal dialogue as possible aspects of strategic thinking and innovation management in social enterprise, social entrepreneurship and social innovation.

The purpose of this study is to investigate the antecedents of metaverse adoption intention amongst Muslim students by expanding the technology acceptance model (TAM) to incorporate factors viz. perceived cyber risk (PCR), perceived enjoyment (PE), personal innovativeness in IT (PIT), self-efficacy (SE), trust (TR) and religiosity (RL).

An online survey was circulated using a Google questionnaire to gather information on the study constructs. Purposive and snowball sampling techniques were adopted to reach the targeted students. The proposed associations were examined through the application of structural equation modelling with the use of AMOS software.

The findings suggest that the empirical results derived from the study present a compelling and effective model, and the model is designed to elucidate the intentions of Indian Muslim students regarding their willingness to embrace or adopt the metaverse. The research has identified and showcased a robust conceptual framework that provides insights into the factors influencing the metaverse adoption intentions among Muslim students.

This research adds value to the existing literature by expanding the understanding of metaverse adoption amongst Muslim students. This thorough framework offers an intricate comprehension of metaverse adoption, offering a theoretical framework beyond traditional technological determinants. This study provides important insights that can assist educationists, administrators and policymakers in various ways in chalking out essential strategies, policies and programmes related to metaverse adoption amongst Muslim students.

This study is unique as the six additional constructs, viz. PCR, PE, PIT, SE, TR and RL, are included in the original TAM model, thus filling the literature gap. It also augments the comprehension of the metaverse and unfolds the antecedents of metaverse adoption intention amongst Muslim societies through the lens of students.

Drawing on the cognitive–affective–conative framework, this study aims to develop a model of service robot acceptance in the hospitality sector by incorporating both cognitive evaluations and affective responses.

A mixed-method approach combining qualitative and quantitative methods was used to develop measurement and test research hypotheses.

The results show that five cognitive evaluations (i.e. cuteness, coolness, courtesy, utility and autonomy) significantly influence consumers’ positive affect, leading to customer acceptance intention. Four cognitive evaluations (cuteness, interactivity, courtesy and utility) significantly influence consumers’ negative affect, which in turn positively affects consumer acceptance intention.

This study provides significant implications for the design and implementation of service robots in the hospitality and tourism sector.

Different from traditional technology acceptance models, this study proposed a model based on the hierarchical relationships of cognition, affect and conation to enhance knowledge about human–robot interactions.

This study aims to examine the tourists' visit intention by watching deepfake destination videos, using Information Manipulation and Media Richness Theory.

This study conducted a primary survey utilizing a structured questionnaire. In total, 1,360 tourists were surveyed, and quantitative data analysis was done using PLS-SEM.

The results indicate that the factors that affect the tourists' visit intention after watching deepfake videos include information manipulation tactics, trust and media richness. This study also found that perceived deception and cognitive load do not influence the tourists' visit intention.

The originality/salience of this study lies in the fact that this is possibly among the first to combine the Media Richness Theory and Information Manipulation for understanding tourists' visit intention and post-viewing deepfake destination videos.

Although virtual worlds, such as the Metaverse, can disrupt the hospitality sector, few empirical investigations have critically evaluated the scope and scale of this disruption from an industry perspective. This study aims to rectify this knowledge gap by exploring the opportunities and challenges of the Metaverse as seen by hospitality professionals.

This is a Delphi study conducted with UK-based senior hospitality industry practitioners experienced in designing and implementing digital innovations within their organisations.

The Metaverse is most likely to be adopted by hospitality organisations willing and able to take risks, such as large and/or chain-affiliated enterprises. The Metaverse will not replace traditional hospitality services but supplement and enhance them with new layers of service. The main applications are in the context of events and experiences. The Metaverse will also provide the “try before you buy” option, revealing the opportunities to design digital twins of physical businesses. Young and technology-savvy individuals are most likely to first adopt the Metaverse. The key challenges of the adoption are attributed to the technological unpreparedness of hospitality organisations; market immaturity; inflated customer expectations; a skills gap among hospitality employees; and regulatory issues. These challenges require the engagement of various stakeholders to create an operational and monitoring framework for hospitality organisations to embrace the Metaverse.

This study highlights how the Metaverse can disrupt the hospitality industry at the level of strategic planning and business operations.

To the best of the authors’ knowledge, this is one of the first empirical investigations of the potential of the Metaverse from the viewpoint of hospitality industry practitioners.

This research examines the factors that affect business owner influencers' success in growing their businesses and making them a brand in line with the principles of the cognitive response theory (CRT).

This research examined the perceived uniqueness and originality of the posts on Nusr-et’s Instagram account as external information; information credibility was examined as a cognitive response, and desire was taken as a cognitive response and intention. Partial least squares structural equation modeling (PLS-SEM) was used in the analysis of the data.

According to the research findings, perceived uniqueness and originality were found to have positively affected information credibility and cognitive response, while cognitive response factors were also found to have positively affected desire. In addition, cognitive response factors were found to have mediated the effect of external information factors on desire. All these results reveal the significant accuracy of the model developed based on the CRT. In addition, age and gender variables were found to have had moderating roles. Based on the research findings, original suggestions for restaurant enterprises have been presented to help them gain a competitive advantage.

This study has found that the posts shared by business owner influencers have affected their followers in their desire to eat in the promoted restaurants and therefore, entrepreneurs and owners of the food and beverage industry should give importance to the preparation of social media content that could directly affect customers for visit to their restaurants and regularly post such contents in their social media accounts.

This research has been one of the first research papers using a model to reveal the reasons for behavioral intention in the field of hospitality based on the CRT.