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The wine market has witnessed intensified competition across all aspects. However, there is a limited systematic assessment of wine marketing literature. This study employs bibliometric and thematic content evaluation methodologies to present a comprehensive summary and trend of the existing research in wine marketing.

This integrates bibliometric and thematic content analytical techniques to trace the evolutionary arc of wine marketing research, underpinned by a framework-based evaluation - the 4 Ws (what, where, why, and how) to give a thorough overview of wine marketing literature. We draw on the thematic structure of wine marketing research by conducting keyword co-occurrence, thematic, social network, and cluster-based content analyses. A total of 291 publications from peer-reviewed journals, spanning the years 2001–2023, were examined in the present study.

The bibliometric analysis is used to determine the most notable journals, authors, nations, articles, and themes, thereby offering a comprehensive understanding of the publication trends within the sphere of wine marketing. Based on the findings, this study advocates a research agenda to extend further contributions to the field of wine marketing.

The study performs a comprehensive analysis of the publication patterns, influential authors, and emerging trends within the wine marketing research field. It provides a unique insight into the evolution and development of wine marketing as a scholarly discipline, facilitating future research directions and knowledge advancement.

The key to preventing employees from engaging in deceptive knowledge hiding is fostering a responsible environment. Drawing on social cognitive theory, this study aims to explore the factors that inhibit deceptive knowledge hiding and to construct potential pathways for enhancing individual moral cognition. This study further analyzes the moderating effect of leader–follower value congruence on these relationships.

Using data from 341 full-time employees in various service industries in China, this study conducted path analysis, the product-of-coefficients method and bootstrapping to test the hypotheses through a three-stage, time-lagged survey.

The empirical results show that responsible leadership is negatively associated with employees’ deceptive knowledge hiding. Employee moral reflectiveness mediates this relationship, whereas leader–follower value congruence moderates the indirect effect of responsible leadership on deceptive knowledge hiding through moral reflectiveness.

First, this study extends field research by introducing positive leadership factors to reduce deceptive knowledge hiding, whereas prior studies focused mainly on negative leadership antecedents. Second, this study sheds light on the underlying moral cognitive mechanisms and explains how responsible leadership can prevent implicit unethical behavior. Third, it reveals how leader–follower value congruence can enhance the impact of responsible leadership on moral reflectiveness, offering novel insights into the role of value-based fit in reducing deceptive knowledge hiding.

This study aims to understand the lapse behavior of life insurance policyholders. Despite being accessible for nearly two centuries, only a small fraction of individuals purchase such policies and many of those who do let them lapse. The belief hypothesis model (BHM) is introduced to elucidate the correlation between policyholders' beliefs and their decisions regarding life insurance lapses.

BHM establishes a comprehensive linkage between core beliefs, external data and the lapse behavior exhibited by policyholders. To derive policyholders’ core beliefs about life insurance lapses, the authors conducted a semistructured, in-depth interview with 42 policyholders and 11 insurance advisors, using a grounded theory approach with zero-order, first-order and second-order coding.

The study's findings reveal that policy lapsation is influenced by various factors such as policyholders' beliefs about life insurance, process-related attitudes, trust in insurers and advisors and personal financial viewpoints. Policyholders who consider life insurance unnecessary or misunderstand its purpose are likelier to lapse their policies. Cumbersome documentation processes and technical issues also contribute to policy lapsation, emphasizing the significance of simplified procedures. Trust in insurers and advisors, personal financial literacy and payment preferences influence policy lapsation.

The findings of this research can be practically applied by companies to improve customer retention and by regulatory bodies to encourage policyholders to honor their insurance commitments.

Distinguishing itself from conventional hypotheses-driven and factor-centric models, BHM integrates consumer beliefs, thus enriching comprehension and decision-making insights.

The mounting health misinformation on social media triggers heated discussions about how to address it. Anchored by the influence of presumed influence (IPI) model, this study investigates the underlying process of intentions to combat health misinformation. Specifically, we analyzed how presumed exposure of others and presumed influence on others affect intentions to practice pre-emptive and reactive misinformation countering strategies.

Covariance-based structural equation modeling based on survey data from 690 Chinese participants was performed using the “lavaan” package in R to examine the proposed mechanism.

Personal attention to health information on social media is positively associated with presumed others’ attention to the same information, which, in turn, is related to an increased perception of health misinformation’s influence on others. The presumed influence is further positively tied to two pre-emptive countermeasures (i.e. support for media literacy interventions and institutional verification intention) and one reactive countermeasure (i.e. misinformation correction intention). However, the relationship between presumed influence and support for governmental restrictions, as another reactive countering method, is not significant.

This study supplements the misinformation countering literature by examining IPI’s tenability in explaining why individuals engage in combating misinformation. Both pre-emptive and reactive strategies were considered, enabling a panoramic view of the motivators of misinformation countering compared to previous studies. Our findings also inform the necessity of adopting a context-specific perspective and crafting other-oriented messages to motivate users’ initiative in implementing corrective actions.

The primary goal of the present chapter is to analyze and evaluate the importance and significance of human capital in fostering company resilience through the process of learning. In addition to the inherent interconnectedness between organizational resilience and learning organizations, there appears to be less understanding regarding the impact of learning organizations on organizational resilience. To present a succinct overview of the findings, a thorough analysis of empirical studies on organizational resilience and the notion of a learning organization was conducted. The outcomes of the research reveal a learning organization ensures its effective response to unexpected events, crises and challenging conditions. The implementation of ongoing learning initiatives fosters employee engagement and enhances the overall resilience of the organization. To enhance resilience, confront difficulties directly, endure and prosper, organizations must actively acquire knowledge and skills to adapt. Learning organizations cultivate a skilled workforce, which afterwards serves as a robust defence against unfavourable circumstances. The primary objective of this study is to investigate and provide answers to the following research inquiries by conducting an analysis of empirical research on learning organization and organizational resilience: (1) What are the fundamental themes identified in the literature on these concepts? (2) How are learning organization and organizational resilience interconnected? Firstly, defining the concept of resilient enterprises is crucial. Secondly, understanding the concept of learning organizations holds significant importance and the significance of fostering a learning organizational culture to enhance organizational resilience.

The study aims to understand the way metaverse might revolutionize the governance format – precisely the e-government concept – besides underlining the challenges leaving suggestive contours for further research in this realm.

An inductive research approach included the content analysis of relevant literature to identify patterns and generalize them into areas and approaches. Developing a conceptual framework seeks to systematically organize knowledge on metaverse government and provide an understanding of its contributions to enhancing the e-government maturity models.

The authors identified three general areas and approaches – content and data lifecycle management; platforms, tools and services; and infrastructure and computing resources – that shape how challenges of enterprise architecture layers should be resolved in a future research agenda. Integration of these government metaverse areas and approaches is linked with four enterprise architecture layers (technology, applications, data and business) that advance a new e-government meta stage of e-government maturity and the related challenges.

Hitherto, metaverse literature has hinged itself on the benefits and challenges of metaverse in the private sector. However, the exact dimensions have not been probed in the public sector and its e-government domain – the present study seeks to plug this gap.

The purpose of this study is to enhance the understanding of the drivers of participation in online business forums (OBFs). Specifically, it examines how reciprocity and three distinct types of needs (functional, psychological and hedonic) shape the participation behaviour of members in OBFs.

This study employs a multilevel analysis, integrating Social Exchange Theory and Uses and Gratification Theory to develop and validate a research framework. Data were collected via online questionnaires (N = 596) from 48 business forums on LinkedIn. The data analysis was carried out using PLS-SEM in stages. A confirmatory factor analysis was carried out to assess the measurement model, including validating the reliability and validity of the measurement items. The direct hypotheses were tested, followed by a post ad-hoc analysis to test the mediation and moderation hypotheses.

This study shows the impact of three need factors – functional, psychological and hedonic – and reciprocity on community members' participation behaviour in OBFs. The findings indicate that fulfiling functional, psychological and hedonic needs are key determinants driving active participation. The study further highlights the coexistence of two types of reciprocity: direct and indirect. However, the data analysis results show that only indirect reciprocity motivates participation in OBFs. Furthermore, the study reveals that indirect reciprocity not only precedes participation but also acts as a pivotal factor interacting with the interrelationship between the need factors and participation levels in OBFs.

This research advances theoretical understanding of participation in OBFs by offering novel insights into its complex, multi-faceted nature. Unlike some previous simplistic models, this study employs innovative multilevel analysis, uniquely demonstrating the synergistic impact of need factors and reciprocity on participation. It offers a nuanced perspective previously unexplored by addressing reciprocity’s paradoxical role and uncovering interconnections between various factors. This approach provides groundbreaking insights into OBF dynamics, advancing theoretical understanding while offering actionable strategies for enhancing member engagement and community development.

Consumer behavior is evolving rapidly due to the increasing role of technology in daily life. Online food ordering has emerged as a key channel in this changing landscape. This paper investigates the relationships between online promotions, consumer skepticism, information sharing on social media and the intention to purchase food and beverages through online delivery services.

Measures were developed based on a review of existing literature. Data from 402 participants were analyzed using Structural Equation Modeling (SEM).

The study reveals that online promotions significantly impact consumers' sharing of restaurant posts. Additionally, consumer skepticism about online food sales affects both their sharing behavior and their intention to purchase online. Engagement in sharing restaurant posts online is a strong predictor of online food purchasing intentions.

The findings offer valuable insights for restaurant operators, policymakers and technology developers in the competitive online food delivery sector. They emphasize the importance of implementing innovative promotions and crafting appealing food presentations. These strategies can accelerate customer decision-making, attract new customers and contribute to market expansion and customer base sustainability.

This research provides significant insights for restaurant owners and contributes to the limited literature on online promotions, consumer skepticism and information sharing in the restaurant industry. It also lays the groundwork for future studies aimed at deepening understanding in this field.

This paper elucidates the role of anger in error management (EM) and organizational learning behaviors. The study explores how anger can catalyze learning, emphasizing its strategic implications.

A double-layered moderated-mediated model was developed and tested using data from 744 Chinese CEOs. The psychometric properties of the survey instrument were rigorously examined through structural equation modeling, and hypotheses were tested using Hayes's PROCESS macros.

The findings reveal that anger is a precursor for recognizing the value of significant errors, leading to a positive association with learning behavior among top management team members. Additionally, the study uncovers a triple interaction effect of anger, EM culture and supply chain disruptions on the value of learning from errors. Extensive experience and positive grieving strengthen the relationship between recognizing value from errors and learning behavior.

This study uniquely integrates affect-cognitive theory and organizational learning theory, examining anger in EM and learning. The authors provide empirical evidence that anger can drive error value recognition and learning. The authors incorporate a more fine-grained approach to leadership when including executive anger as a trigger to learning behavior. Factors like experience and positive grieving are explored, deepening the understanding of emotions in learning. The authors consider both negative and positive emotions to contribute to the complexity of organizational learning.

The aim of this study is to review the literature on how intellectual capital (IC) contributes to the decarbonization efforts of firms. It explores how carbon accounting can measure the components of IC in decarbonization efforts to balance profitability with environmental and social goals, particularly in promoting decent work and economic growth (Sustainable Development Goal [SDG] 8 and its targets [2, 5, 6, 8]). Moreover, it emphasises the importance of multi-stakeholder partnerships for sharing knowledge, expertise, technology, and financial resources (SDG17-Target 17.G) to meet SDG8.

As a consolidated methodological approach, a systematic literature review (SLR) was used in this study to fill the existing research gaps in sustainability accounting. To consolidate and clarify scholarly research on IC towards decarbonization, 149 English articles published in the Scopus database and Google Scholar between 1990 and 2024 were reviewed.

The results highlight that the current research does not sufficiently cover the intersection of carbon accounting and IC in the analysis of decarbonization practices. Stakeholders and regulatory bodies are increasingly pressuring firms to implement development-focused policies in line with SDG8 and its targets, requiring the integration of IC and its measures in decarbonization processes, supported by SDG17-Target 17.G. This integration is useful for creating business models that balance profitability and social and environmental responsibilities.

The integration of social dimension to design sustainable business models for emission reduction and provide a decent work environment by focusing on SDG17-Target 17.G has rarely been investigated in terms of theory and practice. Through carbon accounting, IC can be a key source of SDG8-Targets 8.[2, 5, 6, 8] and SDG17-Target 17.G. Historically, these major issues are not easily aligned with accounting research or decarbonization processes.