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Research on showrooming has focused on investigating its antecedents, motivators and characteristics, leaving a gap regarding its consequences. Our study intends to build a comprehensive framework to examine the role of showrooming behaviour on showrooming satisfaction and customer loyalty while exploring its antecedents.

Data collection took place in Brazil through an electronic form distributed on social media, reaching 393 people. After eliminating responses from those who had no showrooming experience, the final sample consisted of 310 respondents. The questions captured the costs and benefits of showrooming, internet savviness, showrooming behaviour, satisfaction with showrooming and customer loyalty (i.e. repurchase intention and positive word-of-mouth). We performed partial least squares data analysis by means of the statistical package Smart PLS 4.

The results show that showrooming behaviour is positively influenced by internet savviness and the perceived benefits of showrooming but not by the perceived costs of showrooming. In addition, showrooming behaviour positively influences satisfaction with showrooming and customer loyalty (i.e. repurchase intention and positive word-of-mouth). Finally, we identify satisfaction with showrooming as a mediator between showrooming behaviour and customer loyalty.

Given that the implications of showrooming behaviour on customer loyalty remain understudied, this work contributes to the marketing literature by demonstrating the influence of showrooming behaviour on satisfaction with showrooming and its consequential effect on customer loyalty. Moreover, we confirmed the mediating role of customer satisfaction in the relationship between showrooming behaviour and customer loyalty.

The rise in the urban population has led to an increase in the magnitude of inequalities within the community. Smart city is an evolution of cities with technology trying to facilitate modern urbanization complexities. Success of establishing smart city initiatives can be considered as a social transforming quest with technology reaching goals at individual and collective levels, thus citizen engagement is critical in heavy technological-reliant projects. This study aims to investigate the potential of improving quality of life through a citizen-centric approach to smart city development in urban cities of Sri Lanka.

The study was based on qualitative methods where information was gathered from 20 citizens residing across 9 provinces of the smart city initiatives based on the City Competitive Index rankings. Six-dimensional smart city model was used as a theoretical lens.

Time management issues, well-being and bleak atmosphere were identified as key challenges; Citizen-centric approaches in Sri Lanka were not satisfactory, and there was room left for improvement of quality of life. Cultural integration and socio-cultural readiness were unique findings, whereas the need for smart education was dominant to overcome challenges in progressing in citizen-centric smart city initiatives.

The results of the study would provide comprehensive knowledge through theoretical and academic contributions in developing countries. At the same time, policymakers, the community at large, government and service providers will primarily benefit from the practical implications of the study.

The study recommends focusing on a tailored smart educational approach, feedback mechanisms and sustainable policies to facilitate the progression of smart cities. Novel findings of cultural integration, socio-cultural readiness and safety should be focused more to ensure the success of smart cities in the South Asian context.

This study explores green consumer behaviour among Generation Y (Gen Y) and Generation Z (Gen Z) in India, applying the Theory of Planned Behaviour (TPB) to assess how digital literacy and eco-friendly behaviour, alongside knowledge, attitude, subjective norms, and perceived behavioural control, shape purchase intentions in line with Sustainable Development Goal 12 (SDG 12).

The research involved a survey of 680 randomly selected respondents from educational institutions across three northern Indian cities. Data collection was conducted using a structured questionnaire with items measured on a 5-point Likert scale. Statistical methods, including confirmatory factor analysis, were used to validate the measurement model, while descriptive statistics, reliability analysis, and regression analysis were employed to analyse the data.

The study uncovers differences between Gen Y and Gen Z regarding the factors influencing green product purchase intentions. Gen Y’s purchase intentions are shaped by attitude, digital literacy, eco-friendly behaviour, and perceived behavioural control, whereas Gen Z’s intentions are also affected by environmental knowledge and subjective norms.

This research provides significant insights into the factors determining green consumer behaviour among Gen Y and Gen Z in India, enriching the knowledge of sustainable consumption practices. It highlights the importance of digital literacy and eco-friendly behaviour in promoting green purchase intentions, and the differing roles of environmental knowledge and subjective norms across generational cohorts.

Understanding the drivers behind green product purchase intentions for Gen Y and Gen Z enables stakeholders to craft specific marketing strategies, educational programs, and policy initiatives that promote sustainable behaviours and mitigate environmental impacts.

The study’s findings have significant social implications, promoting sustainable lifestyles and behaviours among younger generations. By influencing peer groups and communities, and guiding the development of effective public campaigns and CSR initiatives, the study contributes to fostering a more informed and engaged citizenry that advocates for environmental sustainability.

The uniqueness of this study comes from its focus on the Indian youth demographic, the application of the TPB framework with additional variables, and its contribution to SDG 12, enhancing our comprehension of green consumer behaviour and supporting sustainability advancements in India and globally.

This paper aims to comprehensively investigate the multifaceted realm of Initial Coin Offerings (ICOs), delving into their unique characteristics, analyzing their far-reaching influence, and uncovering broader implications within the ever-evolving financial landscape. By addressing the research gap concerning the impact of team diversity on ICO success, we contribute nuanced insights to the existing discourse. Through meticulous data collection and econometric modeling, our purpose is to unravel the intricate dynamics at play, offering valuable perspectives on the transformative role of ICOs and the potential significance of team diversity in shaping their outcomes.

To explore the impact of team diversity on the success of Initial Coin Offerings (ICOs), we compiled a comprehensive database comprising 3,082 profiles and 309 projects from LinkedIn, ICOBench, and Coindesk. This dataset facilitated the creation of diverse variables for our econometric model, enabling a nuanced analysis of interactions and dynamics in the context of our research question. Through this methodical approach, we aim to contribute valuable insights into the role of team diversity in shaping the outcomes of ICO campaigns.

Our analysis of 3,082 profiles and 309 projects sheds light on the intricate dynamics of Initial Coin Offerings (ICOs). Team diversity emerges as a pivotal factor, significantly impacting the success of ICO campaigns. The econometric model, enriched with variables derived from our extensive dataset, reveals nuanced interactions. Teams characterized by diverse profiles exhibit a tangible influence on campaign outcomes, underscoring the importance of inclusivity in shaping the transformative potential of ICOs. These findings contribute valuable insights into the evolving landscape of financial innovation, emphasizing the role of diverse teams in navigating the complexities of decentralized, inclusive investment paradigms.

This study contributes to the evolving discourse on Initial Coin Offerings (ICOs) by pioneering an exploration into the uncharted territory of team diversity and its impact on campaign success. While previous research has delved into ICO performance and success variables, our focus on team diversity as a critical determinant presents a novel perspective. By methodically assembling a substantial dataset and applying an intricate econometric model, we offer a unique lens through which to understand the nuanced interplay of diverse teams in shaping the outcomes of ICOs. This fills a significant research gap and provides valuable insights into the multifaceted dynamics of contemporary financial innovation.

The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to explore whether social media affordances and media richness as environmental stimuli to learners’ involvement elicited by massive open online courses (MOOCs) can affect their learning persistence in MOOCs and, in turn, their learning outcomes in MOOCs. This study further examines whether demographic variables can moderate the relationship between learners’ learning persistence in MOOCs and their learning outcomes.

Sample data for this study were collected from learners who had experience in taking MOOCs provided by the MOOCs platform launched by a well-known university in Taiwan, and 396 usable questionnaires were analyzed using structural equation modeling.

This study proved that learners’ perceived social media affordances and media richness in MOOCs positively influenced their cognitive involvement and affective involvement elicited by MOOCs, which concurrently expounded their learning persistence in MOOCs and, in turn, uplifted their learning outcomes in MOOCs. The results support all proposed hypotheses and the research model, respectively, explains 70.5% and 61.8% of the variance in learners’ learning persistence in MOOCs and learning outcomes. Besides, this study showed that learners’ usage experience moderated the relationship between learners’ learning persistence in MOOCs and their learning outcomes.

This study uses the S-O-R model as a theoretical groundwork to construct learners’ learning outcomes in MOOCs as a series of the psychological process, which is affected by social media affordances and media richness. Noteworthily, while the S-O-R model has been extensively used in previous literature, little research uses the S-O-R model to explain the media antecedents of learners’ learning persistence and learning outcomes in MOOCs. Hence, this study enriches the research for understanding how learners value their learning gains via using media features to support them in MOOCs.

This review aims to present the state of the art regarding the impact of financial technology (FinTech) on financial inclusion and its implications for consumers and institutions in terms of accessibility, usage and quality. An integrated framework is developed to illustrate the primary thematic areas for future research.

We performed a systematic literature review (SLR) to summarize and synthesize existing research published in peer-reviewed academic journals. Forty-two eligible studies were identified from the Web of Science database and a cross-reference search.

The results suggest that FinTech promotes financial inclusion for consumers and businesses by increasing the accessibility, usage and quality of financial products. We present a multidisciplinary integrative framework that links the three dimensions of financial inclusion (i.e. access, usage and quality) to financial technology. Finally, we propose several avenues for future research.

To the best of the author’s knowledge, this is the first SLR on how FinTech is associated with the accessibility, usage and quality of financial products. We provide an integrative framework for understanding the topic with implications in different fields.

This study aims to analyze the importance and performance of customer-facing technologies in luxury hotels. The study also assessed differences between and within the four generations in the importance-performance analysis (IPA).

Data were collected using a Qualtrics panel of recent luxury hotel customers in the USA belonging to all four generations. The cross-generational IPA was conducted using t-tests and (ANAOVA).

The IPA matrix concentrated most technology items in either low importance – low performance or high importance – high performance quadrants. One-way ANOVA revealed significant differences between generations on the importance ratings of all technology items except wireless charging power solutions and on the performance ratings of all technology items. Furthermore, post hoc tests indicated that millennials rated luxury technology most favorably among the four cohorts, followed by generations Z, X and Baby Boomers. In addition, significant differences between the importance and performance of many technology items within each generational cohort were observed. Overall, Wi-Fi was unanimously ranked across generations as the most important technology among luxury guests, but it was the only one that scored lower in performance than importance.

The findings of this study contribute to hospitality scholarship in two primary ways: the importance and performance of technology and generational differences. The results advance the understanding of the impact of generational factors on customer-facing technological adoptions in the luxury hotel sector.

Technologies that are pervasive in the home also become vital offerings for hotels. The more pervasive technology, the more a luxury hotel must work to ensure that it performs at optimal levels. Additionally, which technologies are most important to targeted generations are provided so practitioners may budget for their implementation.

This research is a pivotal step forward in unraveling the intricate interplay between generational factors and technological evaluations, providing a foundation for future research and practical applications in a rapidly evolving technological landscape in the hospitality industry.

This paper aims to explore the impact of a digital growth mindset on the academic performance of business students in China as well as the role of gender in this relationship. The study provides feasible ways to foster such a mindset to ensure quality in business education.

The paper employs a survey to examine the associations among digital growth mindset, gender and the academic performance of business students in China within the context of online learning. The authors collected data from 533 students who were enrolled in two online business courses at a Chinese university. The data were paired and analyzed through regression analysis.

The empirical results show that digital growth mindset has a positive influence on the academic performance of business students in China. The relationship is stronger for male business students than for their female counterparts.

This study is one of the first to examine the concept of digital growth mindset and its significance in Chinese business education. Through the analysis of paired data on digital growth mindset and academic performance, this study makes theoretical contributions to the literature on growth mindset, gender differences and academic success. Additionally, it has practical implications for quality assurance in business education in developing countries by offering feasible approaches to cultivate a growth mindset among students.

This study aims to examine the use of the metaverse in tourism and hospitality to comprehend better how the technology might shape customer journey management, especially relative to information provision, experiences and customer benefits.

This explanatory research used a two-stage approach of media analysis and practitioner interviews to analyse the interactions among tourism information provision, customer experiences and customer benefits in the metaverse. It conceptualized and mapped the consumer journey of the emerging metaverse experience, focusing on the ideas and practices of metaverse design pioneers in tourism and hospitality.

Based on the media analysis and interviews with 27 designers, the metaverse – information – experiences – benefits (MIEB) model was proposed, containing three parts (information characteristics, customer experiences and customer benefits) and 31 supporting items grouped into nine components.

One of the unique contributions of this research is the MIEB model for applying the metaverse in customer journey management (pre-, during- and post-trip). The findings contribute to the current literature with this model based on the practical perspectives of metaverse designers and provide insights on how to incorporate the MIEB model in applying the metaverse in tourism and hospitality management. The findings also address existing literature gaps of insufficient research on metaverse management and design through all stages of the customer travel journey and by paying attention to stakeholders’ viewpoints, including the media and designers of metaverse applications. Engaging in semi-structured interviews with pioneers of the metaverse to gain insights into the design of tourism experiences was also different from other metaverse tourism research, although this is not claimed as a significant point of innovation.

As exponential technologies continue to transform business models rapidly, there is a growing focus on metaverse research within the tourism industry. Despite the significant findings, the practical discussion of high-cost and resource-demanding space tourism within the metaverse platform is still abstract. This study aims to provide a comprehensive understanding of virtual space tourism and consumer motivations inspired by the intrinsic principles of the sharing economy business model and the metaverse platforms.

By gathering primary data through questionnaires from individuals interested in virtual space tourism and using the 530 valid responses, this study uses the unified theory of acceptance and use of technology 2 (UTAUT2) along with the status quo bias theory (SQB) to better comprehend travelers’ motivations for engaging with the metaverse in space tourism.

The study confirms UTAUT2’s effectiveness in predicting travelers’ adoption behavior. Specifically, factors such as performance expectancy, effort expectancy, social influence, hedonic motivation, price value and facilitating conditions significantly impact attitudes and behavioral intentions toward adopting the metaverse for space tourism. Furthermore, skepticism significantly moderates the relationship between attitudes and behavioral intentions.

This study is one of the first to empirically explore the motivations for using metaverse capabilities in the context of space tourism. In line with recent calls for more research on advancing UN sustainable development goals through the metaverse platform, this research discusses findings based on eight shared attributes in both sharing economies and the metaverse platforms that offer the potential for sustainable, socialized and affordable access to space tourism. In addition to the managerial implications, this study outlines future research directions, drawing on insights from the sharing economy’s success in the tourism industry.