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In the existing era, international trade is boosted by maritime freight movement. The academicians and Government are concerned about environmental contamination caused by maritime goods that transit global growth and development. Digital technologies like blockchain help the maritime freight business to stay competitive in the digital age. This study aims to illuminate blockchain technology (BCT) adoption aspects to alleviate early industry adoption restrictions.

This study adopts a two-stage approach comprising of structural equation modeling (SEM) with artificial neural networks (ANN) to analyze critical factors influencing the adoption of BCT in the sustainable maritime freight industry.

The SEM findings from this study illustrate that social, organizational, technological and infrastructual and institutional factors affect BCT execution. Furthermore, the ANN technique uses the SEM data to determine that sustainability enabled digital freight training (S3), initial investment cost (O5) and trust over digital technology (G1) are the most essential blockchain deployment factors.

The hybrid approach aims to help decision-makers and policymakers examine their organizational blockchain adoption goals to construct sustainable, efficient and effective maritime freight transportation.

This paper synthesises international research on effective mentor training, education and development (MTED).

An adaptive theory methodology (Layder, 1998), combining deductive and inductive methods, was deployed in a qualitative meta-synthesis of thematic findings generated in three studies: a systematic review of literature published between January 2010 and July 2020, together with a secondary analysis of studies including evidence on MTED; a subsequent systematic review of literature published between August 2020 and May 2023 and a general inductive analysis (Thomas, 2006) of interviews of leaders of large-scale MTED programmes that had good evidence of impact.

Our meta-synthesis found that effective MTED is evidence-based, refined through ongoing research, tailored both to individual needs and context and includes sustained support. Effective pedagogical approaches in MTED are underpinned by adult learning principles and establish a learning climate that fosters open and trusting relationships. Effective MTED is shaped by the espoused mentoring model or approach, with particular emphasis on understanding, building and sustaining mentoring relationships and incorporating observing, practising, critically reflecting on and receiving feedback on mentoring.

The study will be helpful to practitioners designing, reviewing and evaluating MTED programmes, researchers seeking to enhance the sparse MTED evidence base and programme commissioners.

The original and significant contribution of this study is the identification of key principles relating to the overall design of – as well as specific content, pedagogical approaches and supporting resources within – MTED programmes that have evidenced positive effects on mentors, mentees, mentoring and/or organisations.

This research paper explores the transformative potential of Industry 5.0 for environmental, social and governance (ESG) factors within corporate settings. This study aims to elucidate the role of Industry 5.0 and its related technologies in influencing ESG factors, explore potential risks linked to ESG and present strategies for mitigation through Industry 5.0.

This paper is the literature review that introduces Industry 5.0 as a pivotal factor in implementing and mitigating ESG and its related risks. It outlines Industry 5.0's characteristics, driven by advanced technologies.

Literature reviews suggest that Industry 5.0 has the potential to significantly influence ESG factors within corporate settings. It can promote sustainability, enhance working conditions and offer operational advantages.

The practical implications of this research paper are twofold. First, it provides valuable insights to policymakers, organizations and regulatory bodies, guiding them in adapting their frameworks to embrace Industry 5.0. This adaptation is essential for achieving ESG goals and facilitating sustainable development. Second, it highlights the critical role of Industry 5.0 in mitigating ESG-related risks, offering a robust structure for sustainable development.

This research paper contributes to the existing body of knowledge by highlighting the transformative potential of Industry 5.0 in the context of ESG. It offers a comprehensive exploration of the historical evolution of corporate governance, the integration of sustainability and the growing focus on ESG. It also highlights the originality and value of Industry 5.0 as a critical mitigating factor for ESG-related risks, presenting a holistic approach to sustainable corporate practices.

This study investigates the service quality dimensions of hotel resorts in renowned beach destinations of Thailand. It also explores the relationship between review text sentiment expressed in online platforms and the satisfaction ratings provided for those reviews.

The study employs a two-step analysis approach: first, supervised and unsupervised machine learning via support vector machine (SVM) and latent Dirichlet allocation (LDA) are used to identify service quality dimensions, and second, SmartPLS with PROCESS macro is applied to analyze the moderating roles of quality signals and reviewer’s experience on the relationship between sentiment and satisfaction rating. The dataset comprises 102,179 online reviews from TripAdvisor, focusing on 187 selected hotels rated from 3 to 5 stars.

Eight service quality dimensions were identified, including leisure activities, tangibles and surroundings, reliability, responsiveness, service process, food, empathy and ambience. The study underscores that the service process stands as the sole dimension exhibiting negative sentiment. Furthermore, the analysis revealed a robust positive association between sentiment of review texts and satisfaction, and reviewers’ experience and brand affiliation influenced the relationship between customer sentiment and satisfaction.

Hotel managers should focus efforts on maintaining tangible aspects while enhancing existing service quality level of other dimensions, particularly those related to intangible elements. Independent hotels might implement quality audit to ensure that service quality gaps are monitored.

This study contributes an examination of the moderating roles of quality signals and reviewer’s experience on the relationship between review sentiment and satisfaction rating in online reviews.

Despite the burgeoning popularity of virtual gifting in live streaming, research lacks an in-depth understanding of the drivers behind this behavior. Using para-social relationship (PSR), this study aims to capture viewers’ lively social feelings toward the streamer as the key factor leading to the purchase behavior of virtual gifts. It also aims to establish a theoretical link between PSR and viewers’ holistic experience in live streaming as captured by cognitive absorption and aims to investigates the role of technological features (i.e. viewer–streamer and viewer–viewer interactivity, streamer-level and viewer-level deep profiling and design aesthetics) in shaping viewers’ experience.

Based on 433 survey responses, this study employs a combination of structural equation modeling and neural networks to offer valuable insights into the relationships between the technological environment, viewer experience and viewer behavior.

Our results highlight the salience of PSR in promoting the purchase of virtual gifts through cognitive absorption and the importance of the technological environment in eliciting the viewer experience. This study sheds light on the development of PSR in a technological environment and its relationship with cognitive absorption.

By applying PSR to conceptualize viewers’ perceived connection with the streamer, this study extends the research on purchase behavior in the non-shopping context by providing an enlightened understanding of virtual gift purchase behavior in live streaming. Moreover, by theoretically linking PSR with cognitive absorption, virtual gift purchase and technological features of live streaming, it enriches the theory of PSR and bridges the gap between the design practice of supporting the IT infrastructure of live streaming and research.

This paper aims to explore the current trends in corruption and investigate the characteristics of corporate gift policies and their role in preventing bribery.

This is a descriptive study based on primary data from a recent sample of Canadian companies’ codes of conduct and secondary data from recent corruption surveys published by non-governmental organisations.

This study shows that 25% of all private and public corruption cases generate financial damages of more than US$1m per case and that 50% of all investigated fraud cases are corruption cases (ACFE, 2022). Furthermore, the Western Europe and EU region is perceived as least corrupt, whereas Sub-Saharan Africa is perceived as the most corrupt region (Transparency International, 2022). However, bribery is fairly common in nine EU countries where 10% or more of public service users bribed public officials to influence their decisions (Transparency International, 2021). Results from primary data show that 9.3% of firms put a total ban on gifts given to governmental officials, whereas 35.2% require a superior’s approval and only 5.5% state a dollar limit for the gift. Results also show that not a single firm prohibits the giving of gifts to non-governmental stakeholders or the receiving of gifts from any type of stakeholder. This paper argues that gifts can bias the recipient’s judgement and improperly influence future business decisions based on the gift’s subjective value, nature and context.

This paper extends previous research by examining the characteristics of corporate gift policies. It also helps organisations improve their gift policies in an effort to reduce corruption.

It is the first paper to investigate the characteristics of corporate gift policies and their role in preventing corruption.

The recent livestreaming commerce has magnified the role of influencer marketing, where the influencers are partnering with brands for product promotion. This study examines the impact of influencer attributes, interaction strategies and parasocial relationships on impulsive buying in livestreaming commerce.

A survey with 368 livestreaming commerce users was analyzed using the symmetric-thinking approach – partial least squares structural equation modeling (PLS-SEM) and asymmetric thinking approach – fuzzy set qualitative comparative analysis (fsQCA).

The results of PLS-SEM indicate that influencer trustworthiness, influencer interactivity and self-disclosure determine parasocial relationships, which in turn influence impulsive buying. The fsQCA finding returned three configurations with various combinations of the causal conditions (i.e. influencer attributes, interaction strategies, parasocial relationships, perceived fit uncertainty and perceived quality uncertainty) explaining the formation of impulsive buying.

These findings provide unique linear and nonlinear insights to explain the combinatory effects of influencer attributes, interaction strategies, parasocial relationships, perceived fit uncertainty and perceived quality uncertainty on impulsive buying in livestreaming commerce.

The development of the next Web 3.0 digital generation will be built on a decentralized society and blockchain technologies such as non-fungible tokens (NFTs) and “soulbound tokens” (SBTs). These technologies will enable a digital proof of personhood that would make it possible for people to differentiate themselves through their unique credentials and reputation. SBTs can include unique information relating to the user’s identity that can enhance consumer’s self-perception, uniqueness and reputation building. The literature remains scant on the underlying consequences of SBTs from a consumer behavior perspective, and consequently the implications for brands given rising egocentric consumer needs which this study addresses.

This study adopted an exploratory approach using in-depth interviews with experts to increase our understanding related to SBTs, and their potential impact on consumers’ behaviors and brands’ marketing strategies.

The findings unveiled an SBT-led egocentrism cycle comprising the following stages: penetration and proliferation of SBTs, consumers’ need for uniqueness and differentiation, brand’s reputation, brand’s personality matching, brand-based NFTs’ characteristics and shift in the competitive landscape for both consumers and brands.

This research is among the first to study SBTs and their potential impact in the Web 3.0 environment where digital identities and ownership are decentralized and authentic.

The purpose of this research is to identify the most important attributes of metaverse influencers and examine their impact on customer engagement and social glue.

Three studies (one qualitative and two quantitative) were conducted to understand the phenomenon better. The qualitative study (Study 1) was conducted to identify the antecedents of the theoretical model, which was tested in Study 2 using the covariance-based structural equation modelling (CB-SEM) technique. Study 3 then divided the respondents based on the metaverse influencer attribute preferences.

Results of Study 1 revealed the six most influential attributes of metaverse influencers: physical attractiveness, social attractiveness, perceived credibility, metaverse-influencer fit, intimacy and attitude homophily. Further, Study 2 validated that attractiveness and perceived credibility enhance engagement. Also, the results revealed that intimacy, perceived credibility and homophily enhance social glue. Moreover, parasocial relationships mediate the association between intimacy, attitude homophily, perceived credibility and (engagement and social glue). The conditional indirect effect of physical attractiveness, social attractiveness and metaverse–influencer fit on (engagement and social glue) via parasocial relationships at different high and low levels of self-discrepancy was significant. Finally, Study 3 used latent class analysis to reveal different clusters of metaverse users.

This research enriches our understanding of metaverse influencers, contributing to the influencer marketing literature. It offers actionable insights for marketers by elucidating key influencer attributes, aiding in enhancing engagement and social glue.

Based on the stimuli-organism-response (SOR) theory, the purpose of this study is to demonstrate the impact of consumers’ engagement in pro-environment activities on social media on consumer green consumption behaviour, and explore the explicatory mechanism and boundary conditions for the relationship between them.

This study collected data from 312 Chinese consumers by using the research platform Credamo, a Chinese online survey platform. A structural equation model and hierarchical regression modelling were used to analyse the data.

Consumers’ engagement in pro-environmental activities on social media has a positive influence on environmental awareness that positively affects green consumption behaviour. Environmental awareness plays a mediating role in the relationship between consumers’ engagement in pro-environmental activities on social media and green consumption behaviour. Furthermore, green intrinsic motivation and green extrinsic motivation play positive and negative regulating roles respectively in the relationship between environmental awareness and green consumption behaviour.

This study enriches the research on the antecedent variables of green consumption behaviour. At the same time, it also expands the research on the outcome variables of the impact of engagement in environmental protection activities on people’s subsequent behaviour, deepens and expands the research on green consumption behaviour and its applicable boundaries, offering both theoretical insights and practical implications for enterprise marketing strategies and government management.