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Previous research suggests that abusive supervision has a positive effect on subordinates’ behaviors of knowledge hiding. However, the authors argue that this effect depends on the level of team abusive supervision differentiation. Drawing on the conservation of resources (COR) theory and social comparison theory, this study tries to explain how the level of team abusive supervision differentiation, in conjunction with individuals' own experiences of abusive supervision, influences the focal subordinate's knowledge hiding from their colleagues.

The paper addresses a sample of 412 employees nested in 73 groups and tests an original model using structural equation modeling.

Results show that abusive supervision would indirectly promote subordinates' knowledge hiding toward coworkers via emotional exhaustion, and team abusive supervision differentiation has a positive moderating effect on the above indirect relationship.

Human resource management (HRM) practices should be used to reduce abusive supervision both at individual and team level and minimize employees' emotional exhaustion, thereby affecting knowledge hiding from coworkers.

Results show that whether a subordinate's experience of abusive supervision leads to knowledge hiding via emotional exhaustion depends on the level of team abusive supervision differentiation. This finding adds to the literature about abusive supervision and knowledge hiding.

This study aims to investigate whether and how a high turnover rate stimulates employees to engage more in learning behavior.

Drawing on self-regulation theory, the authors suggest that the motive for employees to engage in learning behavior is to improve themselves. Such a need can be activated when they reflect on themselves and realize the discrepancy between their current selves and desired future selves. The authors argue that the employees’ perceived poor performance at daily work may induce their desire for self-improvement via making the future work selves salient, and in turn engage more in learning behavior. This is particularly so when turnover rate is high because employees may be alert of and concerned more about their own poor performance. In an experience sampling study, the authors obtained evidence for these hypotheses.

When turnover rate was high, employees’ poor performance increased salience of future work selves, which in turn facilitated their learning behavior. This relationship was not significant when turnover rate was low.

Contrary to the typical view that high turnover rate leads to knowledge loss for the companies, the present study findings suggest that it could also serve as a motivational factor facilitating employees’ learning behavior, which is an important way to increase knowledge pool of the companies.

The purpose of this study is to answer whether and how supervisor–subordinate instrumental or expressive ties based on enterprise social media (ESM) might enhance employee performance.

Drawing on social exchange theory, this study developed a theoretical model to explore the influencing mechanism of different supervisor–subordinate ties based on ESM on employee job performance. The model was empirically tested through 219 ESM users.

The results revealed that supervisor–subordinate instrumental ties based on ESM play a positive role in employee job performance, while supervisor–subordinate expressive ties based on ESM are not significantly related to employee job performance. Supervisor–subordinate instrumental ties and expressive ties based on ESM can positively influence employee job performance through the mediating effect of organizational trust. Besides, perceived performance climate can weaken the relation of organizational trust to job performance, and then weaken the indirect relations via the mediating of organizational trust.

Our findings advance the understanding of ESM use through various underlying mechanisms and have the potential of guiding organizations to fine-tune their social media usage strategies.

Online-to-offline (O2O) knowledge-sharing economy platforms have emerged as a new public channel for matching up knowledge providers with knowledge seekers. It can facilitate offline provision and consumption of high-quality tacit knowledge around a topic upon online search and payment (called offline knowledge service transaction). However, limited research investigated this new knowledge-sharing phenomenon in the field of knowledge management (KM). The purpose of this paper is to enrich KM literature by developing a theoretical model to explore determinants of offline knowledge service transactions via O2O knowledge-sharing economy platforms from both quality and price perspectives.

The model was tested with objective data crawled from Zaihang – a leading O2O knowledge-sharing economy platform in China.

The results show that, in the context of O2O knowledge-sharing economy, transactions of an offline knowledge service are positively related to its provider’s popularity, but negatively related to the price. Moreover, knowledge seekers are more likely to accept and purchase a high-priced service of a knowledge topic with a higher overall review score and supplied by a provider with lower popularity and shorter response time. However, the length of offline knowledge service has no significant association with its transactions.

This study contributes to KM literature through investigating a new phenomenon of tacit knowledge sharing (including provision and consumption) in the context of O2O service and the sharing economy. The results give implications for knowledge providers and platform managers to facilitate online transactions of offline knowledge services.

Knowledge hiding as an important topic in knowledge management field might be triggered by abusive supervision, but few studies discussed how to alleviate the effect of abusive supervision on knowledge hiding. Drawing on both reactance theory and conservation of resources (COR) theory, this study aims to build a moderated mediation framework to examine effects of abusive supervision on knowledge hiding via job insecurity and under moderation of motivational climate (including mastery climate and performance climate).

The paper uses a two-wave survey study among 155 knowledge workers from educational and manufacturing industries.

Results show that abusive supervision is not significantly related to knowledge hiding directly but indirectly via job insecurity. Abusive supervision’s interaction with mastery climate is negatively related to knowledge hiding, but its interaction with performance climate is positively related to knowledge hiding. The indirect relation of abusive supervision to knowledge hiding via job insecurity is significantly moderated by mastery climate but not by performance climate.

Despite contributions, this study also has some limitations. Variables rated from the same source (i.e. employees) may have common method bias although the two-wave design does help alleviate this concern.

The paper highlights important reasons why people hide knowledge at work (because of abusive supervision and job insecurity) and identifies a boundary condition (mastery climate) which will reduce abusive supervision’s influence on knowledge hiding.

This paper contributes to knowledge hiding literature which is an important part of knowledge management from the perspective of abusive supervision based on both reactance theory and COR theory.

The “Internet of Things (IoT)” is a platform for involving smart devices via the Internet at a worldwide scale. It supports the “supply chain (SC)” and “information and communication technology (ICT)” infrastructure to be well integrated into an organization and externally with customers and suppliers. The “sustainable supply chain (SSC)” is currently unavoidable if a company seeks to satisfy the aggressive change in its customers' requirements. Numerous studies have confirmed that manufacturing firms have to accelerate the shift of their focus toward sustainability and the implementation of novel technologies, such as IoT, to accomplish their organizational goals most effectively. Although the literature consists of many theoretical approaches to IoT and numerous studies that have extremely concentrated upon the IoT technology and its potential applications, it lacks research with a focus on the challenges that arise when applying IoT to the “sustainable supply chain management (SSCM)”.

The present study proposes an integrated framework using the “Criteria Importance Through Intercriteria Correlation (CRITIC)” and “VlseKriterijumska optimizcija I kaompromisno resenje in Serbian (VIKOR)” models and employs to evaluate the IoT challenges to implement the SSCM. For estimating the criteria weights, the CRITIC tool is utilized. The organization's prioritization is obtained by the VIKOR procedure, which delivers simple mathematical procedures with precise and consistent outcomes.

To exhibit the practicality of the introduced model, a case study is taken to evaluate the IoT challenges to implement the SSCM within the “q-Rung Orthopair Fuzzy Sets (q-ROFSs)” environment. Moreover, the authors exhibit a sensitivity investigation over given parameter values, examining the stability of developed approach. Finally, the authors draw attention to a comparison between developed q-ROF-CRITIC-VIKOR decision-making approach with an existing q-ROF-TOPSIS method to show its superiority and potency.

The outcome of the study lies in observing the top benefits of individual businesses, and their entire SSCs can be found by implementing IoT. This paper investigates the most important challenges that individual firms and entire SSCs might while applying IoT. It provides a deep insight regarding the effects of IoT upon SSCM and the issues every firm need to contemplate when it is to apply IoT solutions.

Extreme online reviews can have great impacts on consumers’ purchase decisions. The purpose of this paper is to investigate when users are more likely to provide extreme ratings. The study draws inference from attitude certainty theory and proposes that review extremity is influenced by the interaction of evaluation duration and product/service types: for hedonic products/services, shorter evaluation duration can foster attitude certainty, leading to higher review extremity; in contrast, for utilitarian products/services, longer evaluation duration can increase attitude certainty, resulting in more extreme reviews.

Three studies were conducted to test the hypotheses: Study 1 is an empirical analysis of 3,000 reviews from an online retailing website; Studies 2 and 3 are two between-subject experiments.

Results from three studies confirm the hypotheses. Study 1 provides preliminary evidence on how review extremity varies in evaluations of different durations and product/service types. Results from Studies 2 and 3 show that for hedonic products/services, the shorter the evaluation duration, the more likely users are to give extreme ratings; however, for utilitarian products/service, the longer the evaluation duration, the more likely users are to give extreme reviews; and attitude certainty plays a mediating role between evaluation duration and review extremity.

Findings from this study provide understandings on when a fast rather than a slow evaluation can lead to more extreme reviews. The results also highlight the role of users’ attitude certainty in the underlying mechanism.