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Employees have gradually adopted social media sites and their applications that have been associated with enhanced communication and collaboration at the workplace. However, social technologies have both positive as well as negative consequences. The current study examines the impact of loneliness on employees' psychological well-being (PW); subsequently, the mediating role of social media use intensity (SMI) at the workplace. It also examines the moderating role of gender and management status of employees.

The present study conducted an online and offline survey using a cross-sectional design. Data were collected from 206 working professionals from the IT industry in India. Structural equation modelling was applied to analyse data.

Results revealed that employee loneliness is positively associated with SMI. Employee's SMI was positively associated with enhanced PW. Unexpectedly, employee loneliness is positively and significantly related to PW. However, the moderating roles of gender and management status of employees were not supported.

The current study can help managers, policymakers and organizations better understand the role of employee social media use in the workplace. Using the insights and understanding offered by the study, social media can be effectively utilized in the workplace. The study recommends that organizations may allow the use of social media at the workplace. Social media resources may also be helpful in improving employee communication and digital literacy.

The current study is a pioneer work and contributes to the literature by examining the relationship between loneliness, SMI and PW. This study has essential theoretical and managerial contributions.

Learning management systems (LMS) provide detailed information about the processes through event-logs. Process and related data-mining approaches can reveal valuable information from these files to help teachers and executives to monitor and manage their online learning processes. In this regard, the purpose of this paper is to present an overview of the current direction of the literature on educational data mining, and an application framework to analyze the educational data provided by the Moodle LMS.

The paper presents a framework to provide a decision support through the approaches existing in process and data-mining fields for analyzing the event-log data gathered from LMS platforms. In this framework, latent class analysis (LCA) and sequential pattern mining approaches were used to understand the general patterns; heuristic and fuzzy approaches were performed for process mining to obtain the workflows and statistics; finally, social-network analysis was conducted to discover the collaborations.

The analyses conducted in the study give clues for the process performance of the course during a semester by indicating exceptional situations, clarifying the activity flows, understanding the main process flow and revealing the students’ interactions. Findings also show that using the preliminary data analyses before process mining steps is also beneficial to understand the general pattern and expose the irregular ones.

The study highlights the benefits of analyzing event-log files of LMSs to improve the quality of online educational processes through a case study based on Moodle event-logs. The application framework covers preliminary analyses such as LCA before the use of process mining algorithms to reveal the exceptional situations.

The negative influence of gamification on online communities has received little attention in the available literature. The study examines the adverse effects of gamification during engaging in online communities.

Gap-spotting methods were used to develop the research questions, followed by model development using the social exchange and social-network theories. Data were collected from 429 samples. The study applied partial least squares structural equation modeling to test the research hypotheses followed by ANN application.

The study identified five factors related to gamification that have a significant adverse effect on the mental and emotional well-being of the users. Furthermore, the results of PLS-SEM were then compared through an artificial neural network (ANN) analytic process, revealing consistency for the model. This research presents a theoretical contribution by providing critical insights into online gamers' mental and emotional health. It implies that gamification can even bring mental and emotional disturbance. The resulting situation might lead to undesirable social consequences.

The result highlights the managerial and social relevance from the perspective of a developing country. As respondents are becoming more engrossed in online gaming, managers and decision-makers need to take preventive measures to overcome the dark side of online gaming.

The present study shows that the dark side of gamification has some adverse effects on human mental and emotional health. The study's findings can be used to improve gamification strategies while engaging online communities.

Recently, work-related social media use (WSMU) in organisations and its association with employee outcomes have received considerable research attention. This study examines the association between WSMU, psychological well-being (PW) and innovative work performance (IP). In addition, it explores the mediating role of PW and the moderating role of fear of missing out (FoMO).

A sample of 233 employees working in different organisations was recruited from India to complete the survey. Structural equation modelling was applied to analyse the data.

The result reveals that WSMU has a positive and direct effect on IP. Moreover, the indirect effect via PW among the association was positive and significant. Furthermore, FoMO moderates the indirect relationship between WSMU and IP.

This research is a pioneering work that has contributed to the scarce literature by exploring the relationship between employees' social media use, PW and IP. This research has important theoretical and management contributions because it examines the impact of WSMU on IP, mediating role of PW and moderating role of FoMO among the association between WSMU and employee outcomes.

The paper validates a framework using the media synchronicity theory (MST) to study the effect of Social Media Use at Work (SMUW) on the performance “Work Performance” (WP) of the employee. For this, the study initially observed the effect of SMUW on shared vision (SV), network ties (NT), and trust (TRUST) on the knowledge transfer (KT) and the effect of all (SV, NT, TRUST and KT) on the WP of the employees.

A survey method was used to collect responses from 157 employees working at middle and lower-level managerial positions in the chemical companies of India. The data analysis uses variance-based, partial least square SEM, which has established a relationship between the constructs.

The results found a significant effect of SMUW on the WP of the employees. It was observed that the SV and TRUST can be significantly improved with the help of SMUW, contributing to the KT and simultaneously affecting the WP of the employees.

The study has examined the positive and significant effect of SMUW on the employees' SV, NT and TRUST. Improving SV, NT and trust (dimension of social capital) through social media allows employees to transfer more knowledge. An increase in KT among the employees further positively affected the individual and group performance within the organization. SV positively affected the employee's WP, but NT and trust negatively affected the WP. The research thus provides useful insight to the managers for effective use of social media in the workplace.

The study used MST to understand the effect of the use of social media in the workplace. The study is kind of first in the Indian context which has examined the effect of employees at managerial level in chemical companies, and thus contributes to the existing literature on social networks/social media from the organizational context.

The purpose of this paper is to explore the longitudinal influence of gender, age, education level, organizational tenure and emotional intelligence on three dimensions of knowledge hiding over time.

A longitudinal study using two-wave data sets of 390 employees in Chinese enterprises was conducted to build fixed, continuous and interacting models for investigating the effects of individual differences on the processes of knowledge hiding over time.

This research uncovered the changing relationships of individual differences on knowledge-hiding behaviors over time, such that age correlates with rationalized hiding in the interacting model, indicating younger employees are less likely to choose rationalized hiding when facing situation changes; and education level, organizational tenure and emotional intelligence moderate knowledge hiding over time, implying individuals with better education, longer tenure and higher emotional intelligence tend to exhibit more rationalized hiding behaviors rather than evasive hiding and playing dumb behaviors at Time 2.

One of the novel contributions of this study is that it tests the longitudinal effect of individual differences on knowledge hiding, providing a vertical perspective, and thereby contributing to the body of knowledge in knowledge management. The study also constructs fixed, continuous and interacting models to measure the covering longitudinal influences, thus making the research original.

The social media (SM) engagement framework consists of dimensions of employee privacy expectations and organizations' social media orientation. Further, the social media privacy orientation model provides better understanding of complexities of selection and retention created by the social media landscape.

Organizations are increasingly seeking talent to support burgeoning social media strategies. Qualified employees may be expected to have related professional experience and an active personal social media presence. In contrast to this evolving demand, prevailing guidelines suggest applicants minimize their social media activity altogether. These restrictive guidelines may be better suited for organizations that prefer or require high levels of discretion on social media given the differing engagement expectations across firms and among individuals.

How the congruence between an employee's expectations of privacy on SM and the organization's expectation of employees' SM usage affects applicant attraction to organizations and employee retention is outlined. Propositions are offered to foster research in this area.

Social media congruence is an important consideration for human resource (HR) policies and associated training.

Public policies toward the use of social media in recruitment and privacy should consider social media congruence.

The model advanced in the paper provides organizations and applicants with a stronger understanding of the complexities surrounding the use of SM in selection and retention decisions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2021-0260

This study aims to assess the nexus between perceived overqualification (POQ), anger, knowledge hiding, cyberloafing and harmonious passion (HP).

The authors obtained 264 responses from two public traded firms in Pakistan using a supervisor-subordinated nested design and a multi-time data collecting strategy using convenience sampling.

The study results indicate that POQ positively affects knowledge hiding and cyberloafing. The authors also found anger as a potential mediator in the direct association between POQ and cyberloafing. In addition, the findings suggest that the association between POQ, knowledge hiding and cyberloafing will be weak when individuals exhibit HP towards their job roles. The results of this research, when considered as a whole, provided support for all of the hypothesised direct and indirect linkages, which has important ramifications for both theory and practise.

This study has both theoretical and practical implications. Grounded on equity theory and relative deprivation theory, this paper asserts that HP should be used to decrease POQ affect. According to the authors, pro-environment employee actions may help build a pro-environment workplace culture as well as a pro-environment sense of responsibility, both of which can help to achieve significant pro-environment results.

This study builds on and fills in the gaps left by earlier research to better aid organisational researchers, practitioners and stakeholders in understanding how POQ, rage, information concealing, cyberloafing and harmonic passion interact with one another.

This study draws upon the theory of eudaimonic motivation to develop a model that explains job performance in high-tech industry. This study aims to clarify through what mediating mechanism employees' social interaction and self-efficacy can substantially influence their job performance. At the same time, competence enhancement is examined as a moderator that influences the effects of social interaction and self-efficacy.

The hypotheses developed in this study were empirically tested by collecting three-source data from a leading international business company in Taiwan's high-tech industry. The survey data of this study were first analyzed using confirmatory factor analysis and hierarchical regression analysis for testing the hypotheses of the study. Post hoc tests were then performed using structural equation modeling and bootstrapping analysis for the purpose of double verifications.

This study finds that social interaction and self-efficacy relate to job performance via the full mediation of occupational commitment and achievement striving. Besides, the relationship between social interaction and occupational commitment is positively moderated by competence enhancement, while the relationship between self-efficacy and occupational commitment is negatively moderated by competence enhancement.

This work shows important findings that complement previous research on personnel performance and competence. First, this work confirms that social interaction and self-efficacy play critical roles for indirectly influencing job performance through the full mediation of occupational commitment and achievement striving among engineers in high-tech industry. Second, the moderating effects of competence enhancement on the relationships between social interaction and occupational commitment and between self-efficacy and occupational commitment are confirmed by this study.

The purpose of this paper is to investigate customer loyalty in the online-to-offline (O2O) model by conceptualizing and measuring emotion and cognition.

An online survey was used to collect 514 questionnaire responses. The data were analyzed using structural equation modeling.

Three emotional factors influence two cognitive factors, which in turn affect customer loyalty. The type of message source acts as a moderator. In addition to pleasure and arousal, dominance is a key factor of emotion. The effects of social enhancement and store environment on customer loyalty reflect the O2O model’s integration of online and offline environments.

The moderating role of the type of message source implies that marketers of brick-and-mortar stores can promote positive offline experiences to attract online customers and then encourage these customers to disseminate personal messages in their social circles. By attracting online customers through appealing m-services and retaining these customers through favorable store environments, marketers can maximize the utility of the O2O model.

Three emotional factors and two cognitive factors are conceptualized to predict customer loyalty in the O2O model. This study shows that the relationships between cognitive factors and customer loyalty are moderated by the type of message source. When check-in activity messages are sent by friends, the perception of social enhancement can lead to greater customer loyalty. In contrast, when check-in activity messages are sent by unfamiliar sources, customer loyalty is driven more by cognition of the store environment than by online interaction. The findings enrich existing knowledge of the O2O model and m-services, and have implications for researchers and marketers.