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This paper aims to examine the effects of both transient and chronic loneliness on consumers’ variety-seeking (VS) behavior and to identify the various underlying mechanisms involved.

Four studies were adopted to clarify how transient and chronic loneliness affect consumers’ VS behavior.

Both transient and chronic loneliness promote consumers’ VS behavior. More importantly, the effect of transient loneliness on VS behavior is driven by perceived loss of control, whereas the effect of chronic loneliness on VS behavior is driven by need for uniqueness and sensation-seeking.

To the best of the authors’ knowledge, this research is the first to explore the differential roles of transient and chronic loneliness on VS behavior, which may open new avenues for future research. First, future research could investigate moderators that influence the impacts of transient and chronic loneliness on VS behavior. Second, future research could examine different participant populations and use cognitive neuroscience techniques to further verify the differential roles of these two types of loneliness on VS behavior.

This research contributes to marketing practice by providing practical guidance on how to effectively design different marketing strategies to promote VS for consumers with different types of loneliness. For consumers with transient loneliness, marketers can benefit from a concerted focus on improving consumers’ sense of control. Yet, for consumers with chronic loneliness, marketing strategies that improve consumers’ need for uniqueness will be more effective.

This research contributes to the literature on loneliness and consumer behavior, which has largely overlooked the distinct roles of different types of loneliness (i.e. transient vs chronic loneliness) in influencing consumer behavior. Specifically, this paper conducted a comparative analysis of the impacts of transient and chronic loneliness on consumers’ VS behavior and proposed that transient and chronic loneliness promote consumers’ VS behavior through divergent underlying mechanisms.

Business-society relations have weakened in recent years due to evidence of greenwashing and misleading corporate social responsibility (CSR) practices, resulting in a lack of trust and interest amongst the stakeholders regarding CSR efficiency. Therefore, this paper aims to analyse the major antecedents and customer-related outcomes of perceived CSR authenticity. In addition, the study provides an integrated model of CSR authenticity and empirically validates the model in Indian settings.

A structured questionnaire was developed to collect data from 250 bank customers living in a major city situated in the northern part of India. The analysis was conducted using structural equation modelling.

The findings of the study demonstrate that extrinsic motives, intrinsic motives, CSR impact and corporate reputation significantly influence CSR authenticity, while CSR fit was reported to exhibit no significant influence on CSR authenticity. Additionally, the results of the mediation analysis indicated that CSR authenticity had no direct effect on customer loyalty; rather, this effect was found to be mediated through customer trust.

This study/research adds insight into the concept of CSR authenticity, which is relatively under-researched, especially in the Indian context. Furthermore, the study focuses on less-explored antecedents, including CSR impact and corporate reputation. In addition, the paper also examines the mediating effect of trust between CSR authenticity and consumer loyalty, which has not been explored yet in the context of CSR authenticity. The analysis also delved into the moderating effect of gender and age on CSR authenticity.

Purpose: This piece delves into the transformative potential of artificial intelligence (AI) in the healthcare field within the emerging realm of Industry 5.0, highlighting a people-focused and eco-friendly approach.

Need for the study: While Industry 4.0 set the foundation for digitization in healthcare, it frequently overlooked the human factor and concerns about sustainability. Industry 5.0 tackles these deficiencies by giving importance to human welfare, efficiency in resource usage, and societal consequences alongside technological progress.

Methodology: This research utilizes a survey of existing written works on Industry 5.0, AI in healthcare, and associated empowering technologies. It also leans on insights from recent investigations and business actions to pinpoint current patterns and future paths.

Findings: This chapter showcases how AI-driven solutions can greatly alter various facets of healthcare. Some of these healthcare facets encompass personalized medicine and treatment, intelligent diagnostics and decision support, robot-supported surgery and care, and enhanced availability and affordability.

Practical applications: This piece offers valuable perspectives for healthcare investors. These investors cover healthcare suppliers, technology creators, rule creators, and patients. By embracing the standards of Industry 5.0, the merging of AI into healthcare brings significant potential for crafting a more competent, sustainable, and people-centered healthcare network that benefits both patients and society as a complete unit. This research investigates the stance, viewpoints, and potential impacts of machine intelligence (MI) in health with an emphasis on Industry 5.0.

Data quality assurance (DQA) is essential for enabling the sharing and reuse of research data, especially given the increasing focus on data transparency, reproducibility, credibility and validity in research. Although the literature on research data curation is vast, there remains a lack of theory-guided exploration of DQA modeling in research data repositories (RDRs).

This study addresses this gap by examining 12 distinct cases of DQA-related knowledge organization tools, including four metadata vocabularies, three metadata schemas, one ontology and four standards used to guide DQA work in RDRs.

The study analyzed the cases utilizing a theoretical framework based on activity theory and data quality literature and synthesized a model and a knowledge artifact, a DQA ontology (DQAO, Lee et al., 2024), that encodes a DQA theory for RDRs. The ontology includes 127 classes, 44 object properties, 7 data properties and 18 instances. The article also uses problem scenarios to illustrate how the DQAO can be integrated into the FAIR ecosystem.

The study provides valuable insights into DQA theory and practice in RDRs and offers a DQA ontology for designing, evaluating and integrating DQA workflows within RDRs.

This paper aims to investigate whether and how enterprise social media (ESM) affordances affect employee agility.

Adopting self-determination theory (SDT), this study examines a model in which the four ESM affordances (i.e. visibility, association, editability and persistence) impact employee agility through the three basic psychological needs satisfaction (i.e. perceived autonomy, perceived relatedness and perceived competence) of employees. Mplus 7.4 was used to analyze survey data gathered from 304 employees who used ESM in the workplace.

The authors’ findings show that all four ESM affordances contribute to perceived relatedness and perceived competence; visibility and association affordances also have positive impacts on perceived autonomy; and all three psychological needs satisfaction positively impact employee agility.

First, this study adapted SDT to explore how ESM influences employee agility. Second, this study enriches the relevant research on the antecedents of employee agility and also provides new evidence and theoretical support for employee agility. Third, this study effectively expands the antecedents and outcomes of employee basic psychological needs satisfaction in the domain of ESM and agility.

Corporate ESG performance has attracted widespread attention from various sectors of society. This paper aims to investigate whether analysts’ ESG attention can convey additional information to the market and consequently influence stock pricing efficiency.

Using A-share listed companies from 2014 to 2021 as the research subjects, this paper employs a deep learning algorithm, word2vec, to construct an ESG dictionary. Text analysis is then applied to create an analysts’ ESG attention index, delving into its impact on stock pricing efficiency.

Empirical research reveals that: (1) Analysts' ESG attention effectively enhances stock pricing efficiency, with a more significant impact from analysts’ attention to environmental (E) and social (S) factors compared to governance (G); (2) Further analysis indicates that this effect becomes more pronounced when there is higher disparity in corporate ESG ratings, greater marketization in the province where the company is located, and a higher institutional ownership percentage and (3) The mechanism by which analysts' ESG attention influences stock pricing efficiency is through an elevation in investor attention and stock liquidity. Additionally, it is observed that analysts prioritize ESG information to enhance their reputation and business capabilities.

From the perspective of ESG rating divergence, this paper innovatively uses analyst reports to construct ESG attention indicators and analyzes their impact on the efficiency of stock pricing.

The water-lubricated hydrodynamic herringbone groove journal bearing (HGJB) is capable of running at high speed. However, when running at a low speed, it suffers from a low load-carrying capacity due to the weak hydrodynamic effect. To overcome this problem, this study proposes a hybrid water-lubricated HGJB and aims to investigate its dynamic characteristics.

A hybrid lubrication model applicable to the hybrid water-lubricated HGJB is established based on the boundary fitted coordinate system, which considers the turbulent, thermal and tilting effects, and the finite difference method is used to calculate the dynamic characteristics of the hybrid water-lubricated HGJB.

The result shows that the hybrid HGJB has larger dynamic coefficients and better system stability compared with the hydrodynamic HGJB when running at low speed. Furthermore, the stiffness of hybrid HGJB are mainly governed by the hydrodynamic effect rather than the hydrostatic effect when running at high speed.

The proposed hybrid water-lubricated HGJB shows excellent dynamic characteristics at either low speed or high speed; and the hybrid water-lubricated HGJB has a large load-carrying capacity when running at low speed and has a good dynamic stability when running at high speed.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2024-0233/

This study examines the impact of environmental, social and governance (ESG) performance on cross-region investment in China.

This study utilized firm-level data from the China Stock Market and Accounting Research database covering 2009 to 2021, comprising 3,600 Chinese listed firms. Cross-region investment activities were measured using data on establishing subsidiaries across regional borders obtained from the TianYanCha website. Besides, this study also implemented the instrumental variables (IV) and difference-in-differences approach to address potential endogeneity issues. The panel Poisson and panel negative binomial models are used for robustness tests.

The findings indicate that companies with better ESG performance are more likely to establish cross-region subsidiaries, positively affecting cross-regional investment activities. Strong ESG performance reduces financing constraints, enhances information transparency and improves corporate reputation and resource allocation efficiency, thereby increasing cross-regional investment. Well-established ESG performance also helps overcome judicial barriers. Moreover, cross-region investments driven by ESG are less motivated by tax avoidance, pollution transfer and management self-interest.

We focus on listed companies in China, which may limit the applicability of our conclusions to other regions. Our measurement of cross-region investment might also underestimate its extent due to diverse investment methods. We suggest two future research directions: first, studies could explore the future performance of ESG-facilitated cross-region investments; second, further analysis could assess whether corporate ESG performance effectively dismantles administrative barriers and mitigates market segmentation.

Under China’s distinctive market segmentation phenomenon, this study fills a gap by providing new causal evidence of the role of managerial performance in mitigating capital flow boundaries.

The aim of this study is to examine the ownership impact on firm sustainable investments (FSIs). In particular, this research examines the link between institutional investor ownership (IIO), managerial ownership (MOWN) and FSIs in the tourism industry in Malaysia.

This study uses a data set of 346 firm-year observations from 2008 to 2020 and applies feasible generalized least squares (FGLS) regression analysis. The study sample is based on tourism firms listed on Bursa Malaysia (the Malaysian Stock Exchange).

There is a significant positive association between IIO and FSIs. When IIO is classified into foreign (FIIO) and local (LIIO), this significant association is mainly driven by FIIO. In addition, there is a significant, positive association between managerial ownership (MOWN) and firm sustainable investments (FSIs). These findings imply that firm ownership has an influence on FSIs in the tourism industry.

This is the first attempt to consider IIO and MOWN simultaneously in a single model estimation. The findings contribute to emerging capital markets where the involvement of ownership concentration in the governance of publicly listed firms is a common practice.

Based on the job-demands resources (JD-R) model and the self-determination theory (SDT), this paper aims to explore team empowerment (TEMP) as a mediating mechanism through which team climate (TC) marked by innovativeness, cohesion and trust and knowledge management (KM) in teams.

Using a convenience sampling method, data were gathered from 246 employees of Tunisian knowledge-intensive firms (KIFs) and involved within 69 R&D teams. The partial least square-structural equation modeling approach through SMART PLS 3.2 software was used to evaluate the constructs’ psychometric properties and hypotheses. The mediating effect in the model was evaluated through the non-parametric bootstrapping method.

Results highlight that TC marked by innovativeness, cohesion and trust represents a key team contextual antecedent promoting TEMP and KM in teams. In turn, TEMP, as a critical intrinsic task motivation factor, is revealed as a driver of KM practices. This research demonstrates that TEMP partially mediates the relationship between TC and KM in teams.

This study pioneers the examination of TEMP’s mediating role between a TC marked by innovativeness, trust and cohesion and KM. By applying insights from the JD-R model and SDT to team-level dynamics, it uniquely positions TEMP as an intrinsic motivational factor explaining the mechanism through which the contextual resources provided by a supportive TC promote KM practices. It provides practical insights for KIFs’ managers through highlighting how intrinsically motivated teams of knowledge workers, empowered by a cohesive, innovative and trust-based TC, can effectively navigate the challenges inherent in knowledge-intensive teamwork, leading to enhanced KM practices.