Search results

Organizations use enterprise social media (ESM) platforms to operate, function, and develop. However, the effectiveness of the use of ESM is inconclusive. This study aims to explore the mechanism and boundary conditions of the relationship between employee ESM use and job performance.

This study uses a 2-wave survey design, with a final sample of 481 employees from a large automobile company.

The results indicate that ESM use is beneficial and detrimental to job performance. On the one hand, ESM use is positively related to work overload, decreasing job performance. On the other hand, ESM use is positively associated with informational support, increasing job performance. A mediation test revealed that both work overload and informational support mediate the relationship between ESM use and job performance. Furthermore, job autonomy weakens the positive relationship between ESM use and work overload, but strengthens the positive relationship between ESM use and informational support.

This study provides a more balanced view of how ESM use influences job performance by demonstrating the opposing mediating roles of work overload and informational support. Further, this study fills a research gap by considering job characteristics when examining the boundary conditions of ESM use. Third, this study validates the generalization of the job demands-resources model in social media research.

Growing recognition of the metaverse has implied its far-reaching impacts on the tourism and hospitality industry. This paper sets out to detail the status of metaverse-related research in tourism and hospitality, propose intriguing directions for future studies and highlight multiple areas that call for immediate attention from practitioners in navigating the metaverse phenomenon.

This viewpoint paper referenced the extant academic discussion on the metaverse, based on which timely suggestions for academia and practices are proposed.

This viewpoint paper presents an account of the metaverse and discusses the status of metaverse-related research in hospitality and tourism. It then proposes intriguing avenues for future research around the topics of marketing, reconceptualizing service quality, attitude and behaviors, electronic customer-to-customer interactions, transformative impacts on the society well-being and research methodology. Multiple areas that call for immediate attention from practitioners in navigating the metaverse phenomenon are also highlighted. Both scholars and industry organizations are called upon to assume some responsibility for mapping out protocols to guide the appropriate development, use and governance of metaverse worlds. Governments and policymakers are further encouraged to consider the ramifications of metaverse development for individuals and society and to devise proactive mitigation strategies.

This viewpoint paper proposes several directions for future business practices in the areas of co-creation, experiential consumption, and emerging critical issues in healthcare, human resources, and social media services. It expects to inspire more discussion about the potential impacts of metaverse on the wider society. Its practical significance will further expand the theoretical foundation of the metaverse research and makes this viewpoint paper an intriguing prospect.

The nascent stage of academic discussion intended to guide the development of metaverse is noteworthy, which forms a notable contrast with the growing recognition of its potential of co-creating transformational experiences in hospitality and tourism. This viewpoint paper joins the current academic conversations acknowledging this phenomenon in hospitality and tourism. Provided the notable topicality and empirical relevance, the expanded scope and rich content the present viewpoint paper provides for metaverse will offer a fruitful ground for future research to tap further into currently underrepresented areas.

The current study investigates the impact on perceived review helpfulness of the simultaneous processing of information from multiple cues with various central and peripheral cue combinations based on the elaboration likelihood model (ELM). Thus, the current study develops and tests hypotheses by analyzing real-world review data with a text mining approach in e-commerce to investigate how information consistency (rating inconsistency, review consistency and text similarity) influences perceived helpfulness. Moreover, the role of product type is examined in online consumer reviews of perceived helpfulness.

The current study collected 61,900 online reviews, including 600 products in six categories, from Amazon.com. Additionally, 51,927 reviews were filtered that received helpfulness votes, and then text mining and negative binomial regression were applied.

The current study found that rating inconsistency and text similarity negatively affect perceived helpfulness and that review consistency positively affects perceived helpfulness. Moreover, peripheral cues (rating inconsistency) positively affect perceived helpfulness in reviews of experience goods rather than search goods. However, there is a lack of evidence to demonstrate the hypothesis that product types moderate the effectiveness of central cues (review consistency and text similarity) on perceived helpfulness.

Previous studies have mainly focused on numerical and textual factors to investigate the effect on perceived helpfulness. Additionally, previous studies have independently confirmed the factors that affect perceived helpfulness. The current study investigated how information consistency affects perceived helpfulness and found that various combinations of cues significantly affect perceived helpfulness. This result contributes to the review helpfulness and ELM literature by identifying the impact on perceived helpfulness from a comprehensive perspective of consumer review and information consistency.

The study aims to understand how corporate social responsibility (CSR) and happiness are used together in various research studies to serve the ultimate goal of corporate sustainability (CS), which in turn contributes to sustainable development.

A systematic literature review (SLR) was made using Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) method in the two most-reputable databases of Web of Science (WoS) and Scopus, revealing a final list of 54 studies to analyse.

The review concludes that the literature on CSR and happiness provides three main findings: first, concerning the pillars of sustainability, most of the studies concentrate on people, neglecting the planet and profit, second, employees are subject to the highest number of studies as the target of CSR initiative and third, almost all studies employed the hedonic aspect of happiness in CSR literature.

This particular research finding points to the need for developing a comprehensive framework to assess stakeholder happiness from both hedonic and eudaimonic aspects from a CSR perspective which is then represented under the three pillars of sustainability.

To contribute to the ultimate goal of CS, management would design CSR initiatives for all stakeholders to increase both hedonic and eudaimonic happiness of them.

The literature provides reviews of research in CSR and happiness separately; however, there is not any research revealing how these two concepts are used together in studies and how this association could be read to serve the goal of CS.

This paper examines how a firm's hierarchical complexity, which is determined by the way it organizes its subsidiaries across the hierarchical levels, can impact its stock price crash risk.

The authors employ a measure of hierarchical complexity that captures the depth and breadth of how subsidiaries are organized within a firm. This measure is calculated using information about firms' subsidiaries extracted from the Bureau van Dijk (BvD) database that allows the authors to construct each firm's hierarchical structure. The data sample includes 2,461 USA firms for the period from 2012 to 2017 (11,006 firm-year observations). Univariate tests and panel regression are used for the main analysis. Two-stage-least-squares (2SLS) instrumental variable regression and various other tests are employed for robustness check.

The results show a positive relationship between hierarchical complexity and stock price crash risk. This relationship is amplified in firms with a greater number of subsidiaries that are hierarchically distanced from the parent company as well as in firms with a greater number of foreign subsidiaries in countries with weaker rule of law.

This paper is the first to investigate the impact hierarchical complexity has on crash risk. The results highlight the role that a firm's organizational structure can have on asset pricing behavior.