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Stand-up meetings have received attention for their functional effectiveness in the workplace, but they can also cause affective reactions among attendees. These reactions can affect workplace attitudes and alter the way that employees view and perform their work to the benefit or detriment of the organization.

Following the tenets of the job characteristics model (JCM), a study was conducted on relevant stand-up meetings' effects on beliefs about the meaningfulness of one's work and subsequent motivation. Further analysis explored the effects that meeting load (i.e. the number of meetings) has on the outcomes of meetings.

Consistent with hypotheses, stand-up meeting relevance has an indirect effect on work motivation through work meaningfulness. Meeting load moderates both the indirect effect, such that the effect is stronger at higher numbers of meetings, and the direct effect on work meaningfulness in the opposite direction, as the effect is strongest with fewer meetings.

Organizations should ensure that stand-up meetings are relevant to all attendees and hold the meetings at an appropriate regularity for the best outcomes.

This work examined the stand-up meeting. Most prior meetings research has focused on meetings as a whole or other subtypes and examine meeting relevance and contribution to employee motivation through the lens of JCM.

This paper examines the impact of leadership behaviors on startup's entrepreneurship in Vietnamese southern areas in the time of Covid-19.

The paper uses OLS regression model to evaluate the impact of leadership behaviors on startup's entrepreneurship in Vietnamese southern areas. Besides, the paper also uses AHP method to identify the factors that influence leadership behaviors in startups in the context of economic shock like the Covid-19 pandemic.

Results reveal that the transformational leadership behavior has a positive correlation with startup's entrepreneurship while the transactional and laissez-faire leadership behaviors are negatively related to startup's entrepreneurship. In addition, using AHP method, certain determinants of leadership behaviors in startups have been specified; among which, the most profound influencing factors are respectively hi-tech use (0.081), training policy (0.079) and check (0.78). In contrast, the factors with negligible impacts include recruitment policy (0.004) and culture (0.037) in startups in the context of economic shock like the Covid-19 pandemic.

This research only evaluates this impact in the Covid-19 times. In the future, comparisons between the time after the Covid-19 at traditional enterprises and state enterprises are to be done to clarify the difference of this impact.

By using OLS model and AHP model with the data collected from 209 start-ups, the paper examines the impact of leadership behaviors on start-up's entrepreneurship in the time context of economic shock like the Covid-19 pandemic and propose some recommendations to enhance entrepreneurship in startups in the developing countries.

This study is a step forward in the entrepreneurship research branch that investigates the entrepreneurship issue from the perspectives of social and interpersonal processes. With the identification of the leadership behaviors’ role in shaping start-up's entrepreneurship come highly applicable implications towards the emergence of more effective entrepreneurial startups in the time of Covid-19 and this prevalent digital context.

With the identification of the leadership behaviors' role in shaping startup's entrepreneurship come highly applicable implications toward the emergence of more effective entrepreneurial startups in the time of Covid-19 and this prevalent digital context. This study is conducted to analyze the impact of leadership behaviors on startup's entrepreneurship in the southern areas of Viet Nam having the most startups but affected the most seriously by the Covid-19 pandemic, which has not research on this topic for startups in a developing country like Vietnam in the context of an economic shock.

The paper aims to examine the effect of justice perceptions of performance appraisal (JPPA) practices (i.e. distributive, procedural, informational and interpersonal justice) on organizational citizenship behavior (OCB) and affective commitment (AC) and the effect of AC on OCB. Further, it investigates the mediating role of AC in the relationship between JPPA practices and OCB. Moreover, this study examines the moderating effect of job level on the relationship between JPPA practices and OCB.

The data were collected using a self-reported structured questionnaire. A total of 650 questionnaires were distributed among the employees of 50 information technology (IT) companies in India, and 503 samples were obtained. The conceptual framework was tested using the partial least squares structural equation modeling (PLS-SEM) method, and the moderating effect was tested using process macro.

The findings of this study reveal that the JPPA practices positively affect OCB and AC and AC affects OCB. Further, AC partially mediates this relationship between JPPA practices and OCB. Furthermore, the direct effect of JPPA practices on OCB happens to be strengthened when the job level decreases, thus confirming the moderating role of job level.

The findings of this study augment the social exchange theory (SET) by suggesting that individuals perceiving justice or fairness in performance appraisal practices are likely to have a greater AC that ultimately engages employees in OCB.

This study will be helpful for human resource practitioners in IT companies who are responsible for the fairness of performance appraisal practices and expect their employees to be emotionally attached to the organization and engaged in OCB.

The study adds to the body of knowledge of how justice in performance appraisal practices links to OCB through AC and moderates by job level in an emerging economy in Asia.

Drawing on conversation of resources theory, the present paper aimed to investigate the effect of strengths-based leadership on follower career satisfaction and the mediating role of follower strengths use as well as the moderating role of emotional exhaustion in the relationship.

Research data were gathered at 3 time points with a sample of 210 participants working in various organizations in China. Structural equation model (SEM) was applied to examine the authors' hypotheses.

The results indicated that strengths-based leadership has a positive impact on follower career satisfaction and follower strengths use fully mediates the effect of strengths-based leadership on follower career satisfaction. More importantly, emotional exhaustion enhanced the direct relationship between strengths use and career satisfaction and the indirect association of strengths-based leadership with follower career satisfaction through follower strengths use.

The main limitation of the present paper was the single source of research data.

The present paper advances strengths-based leadership theory and research and provides a new insight into cultivating employee career satisfaction.

The purpose of this study is to explore the impact of work-to-family conflict (WFC) on unethical pro-family behavior (UPFB) and work engagement (WE) among Chinese female leaders. In addition, this study investigates the mediating role of work-to-family guilt (WFG) and the moderating role of family centrality (FC) in these relationships.

A quantitative approach was adopted, involving the collection of data through online questionnaires administered at three time points. These data were analyzed using hierarchical regression and the bootstrapping method to test the proposed hypotheses.

WFC exhibited a significant positive correlation with UPFB and a negative correlation with WE; WFG played a mediating role in the relationships between WFC and both UPFB and WE; and FC had a significant moderating effect on the relationship between WFC and WE.

This study sheds light on a model of WFC and its related effects, reveals how WFC affects UPFB and WE and uncovers the mediating role of WFG and the moderating role of FC; pays attention to a unique organizational behavior, UPFB, which enriches research on the antecedents influencing such behaviors; and examines Chinese female leaders in organizations, their current experience of WFC and the resulting psychological and behavioral outcomes.

This study investigates how employees' experience of resource-depleting workplace loneliness may steer them away from performance-enhancing work efforts as informed by their propensity to engage in negative work rumination. It also addresses whether and how religiosity might serve as a buffer of this harmful dynamic.

The hypotheses tests rely on three-round survey data collected among employees who work in various organizations in Pakistan – a relevant country context, considering the importance of people's religious faith for their professional functioning and its high-uncertainty avoidance and collectivism, which likely make workplace loneliness a particularly upsetting experience.

An important channel through which a sense of being abandoned at work compromises job performance is that employees cannot “switch off” and stop thinking about work, even after hours. The role of this explanatory mechanism is mitigated, however, when employees can draw from their religious beliefs.

For human resource (HR) managers, this study pinpoints a notable intrusion into the personal realm, namely, repetitive thinking about work-related issues, through which perceptions of work-related loneliness translate into a reluctance to contribute to organizational effectiveness with productive work activities. It also showcases how this translation can be subdued with personal resources that enable employees to contain the hardships they have experienced.

This study helps unpack the connection between workplace loneliness and job performance by detailing the unexplored roles of two important factors (negative work rumination and religiosity) in this connection.

Our proposed machine learning model contributes to improving the quality of Hire by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of focusing solely on obvious factors, such as qualifications and experience, our model also considers various dimensions of fit, including person-job fit and person-organization fit. By integrating these dimensions of fit into the model, we can better predict a candidate’s potential contribution to the organization, hence enhancing the Quality of Hire.

Within the scope of the investigation, the competencies of the personnel working in the IT department of one in the largest state banks of the country were used. The entire data collection includes information on 1,850 individual employees as well as 13 different characteristics. For analysis, Python’s “keras” and “seaborn” modules were used. The Gower coefficient was used to determine the distance between different records.

The K-NN method resulted in the formation of five clusters, represented as a scatter plot. The axis illustrates the cohesion that exists between things (employees) that are similar to one another and the separateness that exists between things that have their own individual identities. This shows that the clustering process is effective in improving both the degree of similarity within each cluster and the degree of dissimilarity between clusters.

Employee competencies were evaluated within the scope of the investigation. Additionally, other criteria requested from the employee were not included in the application.

This study will be beneficial for academics, professionals, and researchers in their attempts to overcome the ongoing obstacles and challenges related to the securing the proper talent for an organization. In addition to creating a mechanism to use big data in the form of structured and unstructured data from multiple sources and deriving insights using ML algorithms, it contributes to the debates on the quality of hire in an entire organization. This is done in addition to developing a mechanism for using big data in the form of structured and unstructured data from multiple sources.

To understand how Indian first-time mothers in STEM (Science, Technology, Engineering and Math) organisations returning to work cope with the perceived ideological psychological contract breaches from a work–home resources perspective.

This paper utilises interpretative phenomenological analysis (IPA) within the work–home resources (W-HR) model to analyse returning first-time mothers' lived experiences.

This study shows that significant life/work events such as childbirth/lack of career growth can trigger resource depletion at work and home and materialise in first-time mothers perceiving ideological psychological contract breaches at work. It has also been observed that key resource usage and macro support structures aid employees in attenuating work–home conflict by balancing contextual demands and personal resources. This study's participant accounts reveal that the recovery of volatile resources was possible by psychologically detaching and being silent.

The study offers a distinctive perspective by investigating the ideological PC breach experienced by first-time Indian mothers upon their organisational re-entry from a work–home resource model lens. Situated in a unique socio-cultural space and bringing forth the rich lived experiences of women working in the Indian STEM field, this paper explores how key resources shape the coping responses of first-time mothers in this context.

Using the Canadian Census of 2016, the present study examines the Black and White gap in compensating differentials for their commute to work.

The data are from the Canadian Census of 2016. The standard Mincerian wage regression, augmented by commute-related variables and their confounders, is estimated by OLS. The estimations use sample weights and heteroscedasticity robust standard errors.

In the standard Mincerian wage regressions, Black men are found to earn non-negligibly less than White men. No such gap is found among women. When the Mincerian wage equation is augmented by commute duration and its confounders, commute duration is revealed to positively predict wages of White men and negatively associate with wages of Black men. At the same time, in the specifications including commute duration and its confounders, the coefficient for the dummy variable identifying Black men is positive with a non-negligible size. The latter pattern indicates wage discrepancies among Black men by their commute duration. Again, no difference is found between Black and White women in these estimations.

The main caveat is that due to data limitations, causal estimates could not be produced.

For the Canadian working men, the uncovered patterns indicate both between and within race gaps in the impact of commuting on wages. Particularly, Black men seem to commute longer towards relatively lower paying jobs, while the opposite holds for their White counterparts. However, Black men who reside close to their work earn substantially more than both otherwise identical White men and Black men who live far away from their jobs. The implications for research and policy are discussed.

This is the first paper focused on commute compensating differentials by race using Canadian data.

Internal employees of firms are a reliable source of information for potential job seekers. However, few studies have focused on why internal employees actively recommend their firms. Based on the social exchange theory, this study aims to construct a chain mediation model using perceived challenge stress and employee experience as mediators to explore how leadership empowerment behavior affects employee referrals.

Bootstrap repeated sampling analysis was conducted on a sample of 307 employees collected through two-time points.

Leadership empowerment behavior is positively related to employee referrals; perceived challenge stress and employee experience mediate the effect of leadership empowerment behavior on employee referrals, respectively; in addition, perceived challenge stress and employee experience play a chain mediating role between leadership empowerment behavior and employee referrals.

The findings can help provide insight into the drivers of employee referrals and can effectively guide organization reputation management.