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This study aims to examine the effects of network externalities and diffusion of innovation on users’ perceived usefulness and perceived enjoyment, and in turn subjective well-being and intention to use in the smart living context.

To explore different types of smart living services, the data collected come from surveying 512 users of smart home services and 570 users of smart living apps. Structural equation modeling is used to analyze the data, and post hoc interviews are conducted to provide insights into our conceptual model of smart living services.

Compatibility and perceived service complementarity are the most influential determinants of users’ perceived usefulness and perceived enjoyment toward smart living services. Perceived usefulness has a greater impact on users’ intention to use and their subjective well-being than perceived enjoyment. Interestingly, perceived enjoyment exerts a stronger influence on subjective well-being than on intention to use.

This study is one of the first to provide empirical evidence in the context of smart living services, contributing to transformative service literature by extending the understanding of technology use and its influence on user well-being into a less explored service context. This study also advances users’ intention to use and subjective well-being of technology adoption in the service context by integrating perspectives from network externalities and diffusion of innovation.

The purpose of this study is to examine the effect of audit committee (AC) tenure on corporate governance, a topic that has been long debated. Social capital theory explains how directors’ effectiveness varies through tenure. Consistent with this theory, this paper argues that AC tenure has an inverted U-shaped relationship with AC governance.

This paper estimates a quadratic function that regresses constructs for AC governance on the average AC, the AC chair, and nonchair tenure, and their respective square terms. The constructs for AC governance include financial reporting quality measures and perceived auditor independence measures.

This paper finds that average AC, AC chair, and nonchair tenure have inverted U-shaped relationships with financial reporting quality, consistent with social capital theory. This paper also finds similar associations when examining perceived auditor independence. The results are generally consistent with AC directors accumulating knowledge and social capital, which improves AC governance to an optimal level, following which entrenchment and familiarity occur and AC governance declines.

To the best of the authors’ knowledge, this is the first study in AC governance literature to show a nonlinear relationship between AC tenure and AC governance. This paper extends Huang and Hilary (2018) by demonstrating that a nonlinear effect is also present in the AC, a key board committee responsible for monitoring financial reporting quality and appointing auditors and approving their services. This paper further documents that the AC subsumes the effect of the overall board in some areas of AC oversight, and reconciles the inconclusive findings of prior research by showing a nonlinear relationship between AC tenure and AC governance.

In the context of increasing concerns about health, nutraceutical restaurants that provide health benefits have emerged in the marketplace. However, customer experiences at these restaurants are poorly understood. This study focused on sensory experiences and examined the underlying mechanism by which they contribute to memorable dining experiences. Grounded in cognitive appraisal theory, this study developed a memorable dining experience model that links sensory stimuli, meaningfulness, novelty, emotions, and behavioral intentions.

Data were collected from 880 Chinese customers who dined at traditional Chinese medicine restaurants and were analyzed via partial least squares structural equation modeling.

The results revealed that sensory stimuli contributed to memorable dining experiences through meaningfulness, novelty, and emotions. Furthermore, memorable dining experiences increased behavioral intentions to spread positive word-of-mouth and revisit intentions. Additionally, customers’ gender moderated the effects of sensory stimuli on meaningfulness and novelty.

The findings of this study can be used to identify important sensory stimuli and their roles in delivering memorable dining experiences in traditional Chinese medicine restaurants. Therefore, this study’s findings contribute to an improved understanding of how to efficiently manage sensory stimuli to stimulate memorable experiences for restaurant patrons.

This study tests the influence of sensory stimuli on the memorable dining experiences of customers in China.

Introduction: The difficulties and restrictions faced during the pandemic have led various organizations to offer online services. Organizations with the necessary infrastructure have adapted more seamlessly to this shift, while unprepared organizations have faced significant challenges. Recognizing the increasing importance of digital transformation, the banking sector, as a critical player in this process, has been widely examined in the literature.

Purpose: The digitization of banking has enabled faster and more convenient access to banking services. It is crucial to investigate how customer experience, shaped by the services provided by customer-centric banking institutions, impacts customer loyalty and satisfaction. This study focuses on data collected in Ankara, the capital city of Turkiye.

Methodology: Data were collected from 564 participants through a face-to-face, online survey. Fifty-four participants were excluded from the study due to non-use of digital banking or being under 18.

Findings: We found that money transfer was the most frequent digital banking transaction. As a result of the research, we understood that there is a statistically significant relationship between customer experience and customer loyalty and satisfaction, and there was no statistically significant relationship between gender and these values.

This study undertook a systematic literature review of consumers’ information and knowledge sharing (I&KS) in digital scenarios, as it is an expanding thematic area that differs from other consumer behavior and has been underexplored.

Following the PRISMA philosophy, we identified I&KS-related studies in the Scopus database based on a search term chain determined through an exploratory study. Additional inclusion and exclusion criteria were applied, and studies were manually filtered. An input–process–output type model was used to manually review and systematize the literature. Then, a second content analysis was conducted using artificial intelligence (AI) tools.

Based on 51 relevant articles, this study characterized the I&KS research field as multidisciplinary through quantitative methods. Based on an input–process–output consumer behavior model and content analysis, this study systematized existing knowledge and revealed that most knowledge encompassed the influence of personal and psychological consumer characteristics. Additionally, based on AI tools applied to the full texts of the relevant articles, five thematic clusters emerged, largely coinciding with the input–process–output model used. Finally, future research avenues and recommendations for business and organizational practices were identified.

This study fills the gap in consumer studies by systematically reviewing I&KS, a developing field, as no prior research has addressed this topic systematically.

The aim of this study is to (1) construct a standard framework for assessing the capability of bioenergy enterprises' digital green innovation partners; (2) quantify the choice of partners for digital green innovation by bioenergy enterprises; (3) propose based on a dual combination empowerment niche digital green innovation field model.

Fuzzy set theory is combined into field theory to investigate resource complementarity. The successful application of the model to a real case illustrates how the model can be used to address the problem of digital green innovation partner selection. Finally, the standard framework and digital green innovation field model can be applied to the practical partner selection of bioenergy enterprises.

Digital green innovation technology of superposition of complementarity, mutual trust and resources makes the digital green innovation knowledge from partners to biofuels in the enterprise. The index rating system included eight target layers: digital technology innovation level, bioenergy technology innovation level, bioenergy green level, aggregated digital green innovation resource level, bioenergy technology market development ability, co-operation mutual trust and cooperation aggregation degree.

This study helps to (1) construct the evaluation standard framework of digital green innovation capability based on the dual combination empowerment theory; (2) develop a new digital green innovation domain model for bioenergy enterprises to select digital green innovation partners; (3) assist bioenergy enterprises in implementing digital green innovation practices.

Live streaming e-commerce, which integrates real-time video interaction with online shopping, has quickly become a popular sales channel. It not only allows for immediate feedback but also builds a sense of trust and connection between streamers and consumers. Drawing on the elaboration likelihood model (ELM), we investigate how central and peripheral route factors affect consumers’ trust building and purchase intentions. Additionally, we identify consumer involvement as a key moderator affecting the relationship between central route factors and trust in product as well as the relationship between peripheral route factors and trust in streamer.

To test the research model, we collected data from 423 consumers on TaoBao Live.

The findings show that information completeness, accuracy and currency positively affect trust in the product, while perceived physical characteristic similarity, streamer humor attractiveness and passion attractiveness positively affect trust in the streamer. Trust in the streamer positively influences trust in the product, which subsequently impacts purchase intention. Moreover, involvement moderates the effects of information accuracy, currency, perceived physical characteristic similarity and passion attractiveness on trust.

First, we examine the direct influence of product- and streamer-related cues on consumer trust and purchase intention through distinct pathways. Second, we adopt ELM to explain the process of consumer trust building by investigating how central and peripheral route factors influence purchase intention through consumer trust in live streaming settings. Third, we incorporate involvement as a crucial moderator, shedding light on the boundary conditions of trust building in live streaming e-commerce.

Employee emotional exhaustion is widely recognized as a hidden cost associated with high-performance work systems (HPWS). To delve deeper into the pathway from HPWS to emotional exhaustion and explore the boundary conditions capable of mitigating these hidden costs, this study, building upon the job demands-resources (JD-R) model, proposes that psychological strain serves as a mediator and theorizes that leader-member exchange (LMX) operates as a job resource serving to buffer the adverse effect of HPWS-induced psychological strain on emotional exhaustion.

This study adopts a time-lagged research design with a four-week interval to test the proposed hypotheses. Two waves of survey data were collected from 398 respondents in the Chinese state-owned banking sector.

The findings largely supported our hypotheses. Specifically, the results indicated that psychological strain mediated the relationship between HPWS and emotional exhaustion. In addition, LMX, as a job resource, moderated the indirect relationship between HPWS and emotional exhaustion. High-quality LMX reduced the likelihood of employees experiencing psychological strain caused by HPWS, thereby buffering the manifestation of emotional exhaustion.

By innovatively introducing the LMX as a job resource, this study demonstrates that the hidden costs of HPWS are not inevitable. This finding relieves organizational researchers and practitioners from the dilemma of choosing between enhancing performance and alleviating employee emotional exhaustion when implementing HPWS.

This study used a revised protection motivation theory to investigate how professional sport fans in Taiwan adapted to health-related risk such as COVID-19. It examined the effects of perceived changes in event quality (CEQ), threat and coping appraisal and the moderating roles of team identification and past spectating experience.

An online survey collected data from 1,080 professional baseball and basketball league fans. A qualitative and quantitative CEQ scale was developed.

Structural equation modeling showed a path from perceptions of health-related risk (HR), CEQ, threat appraisal and coping appraisal to intention to adapt. Fans with stronger team identification are more likely to adapt to HR prevention measures and CEQ on the basis of their coping appraisals than fans with weaker team identification are. Furthermore, fans with weaker team identification and nonrepeat attendees generally develop an intention to adapt after performing a threat appraisal. These findings inform in-person and online event promotion strategies.

Integrating information sources and a mediating variable, CEQ, into the PMT framework while considering spectators’ traits provides new insights into spectators’ decision-making in health-related risk contexts.

Purpose: The study aims to explore the profound impact of virtual currencies and decentralised finance (DeFi) protocols on financial dynamics, user engagement, and operational aspects within the Metaverse.

Methodology: This research employs mathematical modelling and quantitative analysis to comprehensively investigate the pivotal roles of these elements within the dynamic virtual environment.

Findings: The mathematical equations applied in our study have illuminated the intricate mechanics of financial expansion, operational efficiencies, and user dynamics in the Metaverse’s virtual currency and DeFi systems. These insights underline the transformative influence of these digital ecosystems on future economies, emphasising the critical role of quantitative analysis in navigating and maximising their potential.

Significance: This research aims to shed light on the pivotal roles of virtual currencies and DeFi protocols through mathematical modelling and quantitative analysis. It contributes to a deeper understanding of their significance in shaping the future of virtual economies and financial interactions within the ever-evolving Metaverse.