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The purpose of this study is to review the work–life balance (WLB) among academics. Academics are the pillars of higher education institutions’ (HEIs) mission to provide quality education to students and the community, supporting socioeconomic development. Most academics today are overworked and overburdened with duties, forcing them to work longer hours on weekends and at odd hours. This eventually affects their work–life balance and causes boundary conflicts between work and personal life.

This study proposes a bibliometric analysis to investigate the underlying knowledge structure of this phenomenon by uncovering the past and present themes and predicting future trends of WLB in academia. This review adopts two analyses (bibliographic coupling and co-word analysis), presenting the knowledge structure network. A total of 307 journal publications were retrieved from the Web of Science (WoS) database, revealing significant clusters and themes.

Findings identified central themes, including the issue of women in academia, predictors and the impact of WLB in academia.

Implications towards research and practice relevant to scholars and practitioners are discussed, particularly in balancing academics, professional work and personal life.

This study presents a state-of-the-art bibliometric analysis by uncovering the knowledge structure of academics’ work–life balance in HEIs.

This study aims to reveal the knowledge structure of social media influencer marketing literature by performing science mapping analysis through a state-of-the-art bibliometric approach to determine the current and future trends. Social media influencer marketing is one of the most effective approaches to presenting a brand and offering value to consumers via social media.

This study evaluates the knowledge structure to uncover the emerging trends and future predictions in social media influencer marketing through bibliographic coupling and co-word analysis. In total, 917 journal publications were retrieved from the Web of Science database and analyzed using VOSviewer software.

The central theme in social media influencer marketing reflects digital engagement between influencers and followers and communication between influencers and followers. The theoretical and managerial implications are discussed.

This study unleashes the knowledge structure according to the fundamental literature of social media influencer marketing and the underlying themes related to the phenomenon.

The purpose of this study is to confirm that work to family conflict (W to FC), family to work conflict (F to WC) and work family balance (WFB) are the predictors of job satisfaction (JS) for Malaysian academic community. To achieve the fundamental objective, the authors first test the direct (structural model) effects of W to FC and F to WC on JS. Secondly, using mediation model, the indirect effects of WFB were calculated through W to FC, F to WC and JS.

Using convenience sampling, the data was collected from 280 academic people who work at private universities in Malaysia. Structural equation modelling technique was applied to complete the data analyses procedures.

The findings revealed that W to FC and F to WC have negative significant effects on JS. Besides, WFB partially mediates only the relationship between W to FC and JS while no mediation effect was found for F to WC and JS.

All the research variables in this study were individual-level variables, thus it is suggested to use some organizational and national level variables such as religion and culture as they might be good intervening variables for predicting JS.

Using the findings of this research, the Malaysian private universities community can take some necessary initiatives to mitigate work family conflict (W-FC) and ensure WFB and JS that might enhance the standard of higher education in Malaysia.

To the best of the authors’ knowledge, this is the first attempt to test the mediation effect of WFB in the relationship between both directions of W-FC and JS of employees from the perspective of Malaysia (a collectivist community).

This study aims to analyze the impact of family incivility (FI) on in-role performance (IRP) and proactive customer service performance (PCSP) via the mediating effect of emotional exhaustion (EE) and the moderating roles of emotional intelligence (EI) and mindfulness.

Hypotheses were verified using multisource and multiwave data collected from 337 valid hotel employee–supervisor dyads in Kuala Lumpur, Malaysia. Data were analyzed using SPSS 24.0, AMOS 24.0 and PROCESS (version 3.4).

FI intensified frontline employees’ (FLEs) EE, which subsequently impeded their IRP and PCSP. EI and mindfulness moderated the direct influence of FI on EE, IRP and PCSP and moderated the indirect influence of FI on the two aforementioned outcomes through EE.

Managers should observe FLEs’ indicators of FI and deter its emergence by implementing care programs for FLEs suffering from FI. In addition, human resource managers should preferentially recruit employees with high EI through related tests. Hotels can invite reputable psychologists to provide psychotherapy interventions for FLEs, such as mindfulness-based psychological lectures and therapy.

The hospitality literature lacks an understanding of the underlying process through which FI affects FLEs’ job outcomes. This study incorporates EE as a mediator of the FI’s impact on IRP and PCSP, and to the best of the authors’ knowledge, this study is the first to assess whether EI and mindfulness moderate the direct impact of FI on IRP and PCSP and the indirect impact of FI on two aforementioned outcomes via EE.

In today’s globalized and heavily industrialized economy, sustainability issues that negatively affect the human population and external environment are on the rise. This study aims to investigate a synergistic combination of supply chain management and quality management practices in strengthening the sustainability performance of Malaysian manufacturing firms.

A total sample of 177 usable surveys was collected. Given the contributions and acceptability of the artificial neural network (ANN) approach in evaluating the findings of this study, this study uses ANN to measure the relationship between each predictor (i.e. supply chain integration [SCI], quality leadership [QL], supplier focus [SF], customer focus (CF) and information sharing [IS]) and the dependent variable (i.e. sustainability performance). Via sensitivity analysis, the relative significance of each predictor variable is ranked based on the normalized importance value.

The sensitivity analysis indicates that CF has the greatest effect on sustainability performance (SP) with 100% normalized relative importance, followed by QL (75%), IS (61.5%), SF (57.3%) and SCI (46.7%).

The findings of this study have the potential to provide valuable guidance and insights that can help all manufacturing firms enhance their SP from the optimum combination of the selected SCQM practices with a focus on sustainability.