The (not so) dark side of entrepreneurship: A meta‐analysis of the well‐being and performance consequences of entrepreneurial stress

2020 ◽  
Author(s):  
Michael P. Lerman ◽  
Timothy P. Munyon ◽  
David W. Williams
Keyword(s):  
Meta Analysis ◽  
Well Being ◽  
Dark Side ◽  
Performance Consequences ◽  
And Performance

Alliance experience and performance outcomes: A meta-analysis

2021 ◽  
pp. 147612702098287
Author(s):  
Peng Wang ◽  
Xu Jiang ◽  
Maggie Chuoyan Dong
Keyword(s):  
Strategic Alliance ◽  
Meta Analysis ◽  
Group Analysis ◽  
Performance Outcomes ◽  
Country Level ◽  
Different Types ◽  
Performance Consequences ◽  
Controversial Topic ◽  
Alliance Experience ◽  
And Performance

Alliance experience has been a frequent topic in strategic alliance research in recent decades. Nonetheless, its performance consequences, either as a whole or differentiated into general versus partner-specific alliance experience, are neither theoretically clear nor empirically consistent. We use a range of meta-analytic techniques to integrate the empirical findings of 143 studies and provide a more conclusive assessment compared to prior research. Our study thus addresses a long-standing, understudied, and controversial topic: the distinction between the two types of alliance experiences. Going beyond traditional sub-group analysis, we reveal the contextual contingencies by examining how different types of alliance experiences and performance outcomes jointly affect the alliance experience–performance relationship. Moreover, we identify critical country-level institutional contingencies that moderate the focal effect.

scholarly journals Impact of Electronic Monitoring on Employees: A Meta-Analysis

2021 ◽  
Author(s):  
Rudolf Siegel ◽  
Cornelius J. König ◽  
Veronika Lazar
Keyword(s):  
Job Satisfaction ◽  
Electronic Monitoring ◽  
Negative Impact ◽  
Meta Analysis ◽  
Well Being ◽  
Negative Effect ◽  
And Performance ◽  
Relationship Of ◽  
Positive Effect ◽  
Small Positive Effect

Electronic monitoring is more and more widespread and affects many employees around the globe. The current meta analysis collected data of 59 independent samples (with 223 effect sizes) to estimate the effect of electronic monitoring on job satisfaction, stress, and performance. A random-effects model indicated a small negative effect of monitoring on job satisfaction, r=-.09, and a small positive effect on stress, r=.12. There was no relationship with performance, r=-.01. Even if the effects of monitoring on job satisfaction and stress are small, taking the large number of employees who are monitored for several hours a day into account, these effects may have a severe and negative impact on employees’ well-being. Performance maintenance is the main justification for the use of electronic monitoring, but the non-existing relationship of monitoring with performance questions the validity of this justification.

Leaving Work at Work: A Meta-Analysis on Employee Recovery From Work

2019 ◽  
pp. 014920631986415 ◽  
Author(s):  
Laurens Bujold Steed ◽  
Brian W. Swider ◽  
Sejin Keem ◽  
Joseph T. Liu
Keyword(s):  
Meta Analysis ◽  
Negative Relationship ◽  
Well Being ◽  
Temporal Consistency ◽  
Theoretical Frameworks ◽  
Recovery Experiences ◽  
Recovery From Work ◽  
And Performance ◽  
Meta Analyses ◽  
Performance Results

After reviewing the various ways employee recovery from work has been conceptualized in existing literature as well as the predominant theoretical frameworks used to study recovery, we meta-analyze the relationships between employee recovery, demands, resources, well-being, and performance. We also quantitatively examine the conceptualizations of recovery as activities, experiences, or states in terms of both their intercorrelations and differing effects with demands, resources, well-being, and performance. Results of meta-analyses using a total of 198 empirical samples indicated general support for the hypothesized positive relationships between employee recovery and resources, well-being, and performance as well as a negative relationship with demands. However, the size and consistency of observed effects differed markedly based on the conceptualization utilized. Additionally, various conceptualizations of recovery were shown to be only modestly related, while recovery experiences and the state of being recovered were shown to have substantial temporal consistency. Implications of these findings for scholars studying recovery and practitioners are discussed.

scholarly journals Workplace resources to improve both employee well-being and performance: A systematic review and meta-analysis

Work & Stress ◽  
2017 ◽  
Vol 31 (2) ◽  
pp. 101-120 ◽  
Author(s):  
Karina Nielsen ◽  
Morten B. Nielsen ◽  
Chidiebere Ogbonnaya ◽  
Marja Känsälä ◽  
Eveliina Saari ◽  
...  
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Well Being ◽  
And Performance

Meta-analysis and Scientific Mapping of Well-being and Job Performance

2020 ◽  
Vol 23 ◽  
Author(s):  
Oscar Iván Gutiérrez ◽  
Jean David Polo ◽  
Milton José Zambrano ◽  
Diana Carolina Molina
Keyword(s):  
Job Performance ◽  
Web Of Science ◽  
Meta Analysis ◽  
Well Being ◽  
Science Base ◽  
Prisma Statement ◽  
And Performance ◽  
Meta Analyses ◽  
The Relationship ◽  
Productive Worker

Abstract In this article, we present a meta-analysis and a scientific mapping about the relationship between different types of well-being and job performance. We followed The PRISMA statement for reporting systematic reviews and meta-analyses (Moher et al., 2009), and conduct the search in Web of Science, SCOPUS, Ebscohost, Proquest, and Jstor databases. We identified 43 studies from 1994 to early 2020 that represent 45 independent samples, 34,221 participants, and 77 correlations between four types of well-being and six of job performance. Meta-analysis results show that are different forms of relations between types and there is not only one form to explain the happy-productive worker hypothesis. The scientific mapping shows that there are seven clusters of topics about well-being and job performance in the Web of Science base articles: (I) Burnout and axiety, (II) Stress and depression, (III) Individual resources, (IV) Work context, (V) Work engagement and commitment, (VI) Justice, and (VII) Human resources practices. We organize the topics from each cluster in the different groups of variables of the contextual model of individual work, well-being and performance (van Veldhoven & Peccei, 2015) to explain their impact in well-being and job performance. We included the observations of our analysis and identified the future key directions for the field.

Replication of the Superstition and Performance Study by

2014 ◽  
Vol 45 (3) ◽  
pp. 239-245 ◽  
Author(s):  
Robert J. Calin-Jageman ◽  
Tracy L. Caldwell
Keyword(s):  
Task Difficulty ◽  
Statistical Power ◽  
Meta Analysis ◽  
A Priori ◽  
Significant Heterogeneity ◽  
Performance Study ◽  
Improve Performance ◽  
Research Designs ◽  
Series Of Experiments ◽  
And Performance

A recent series of experiments suggests that fostering superstitions can substantially improve performance on a variety of motor and cognitive tasks ( Damisch, Stoberock, & Mussweiler, 2010 ). We conducted two high-powered and precise replications of one of these experiments, examining if telling participants they had a lucky golf ball could improve their performance on a 10-shot golf task relative to controls. We found that the effect of superstition on performance is elusive: Participants told they had a lucky ball performed almost identically to controls. Our failure to replicate the target study was not due to lack of impact, lack of statistical power, differences in task difficulty, nor differences in participant belief in luck. A meta-analysis indicates significant heterogeneity in the effect of superstition on performance. This could be due to an unknown moderator, but no effect was observed among the studies with the strongest research designs (e.g., high power, a priori sampling plan).

Sign in / Sign up

Export Citation Format

Share Document