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Job Crafting : A Systematic Review and Meta - Analytical Relationships with Precursors and Work Outcomes (2001 – 2021)


Affiliations
1 Research Scholar, PhD Commerce (Corresponding Author), Christ (Deemed to be University), Hosur Road, Bhavani Nagar, S.G. Palya, Bengaluru - 560 029, Karnataka, India
2 Associate Professor, Christ (Deemed to be University), Hosur Road, Bhavani Nagar, S.G. Palya, Bengaluru - 560 029, Karnataka, India
     

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Meta-analysis and SEM (structural equation modeling) were used to investigate the relationship between job crafting, job characteristics, work engagement, and job performance. We used random effects of meta-analysis to statistically integrate 199 primary studies and structural equation modeling to examine the assumed moderation through gender and educational levels using Stata: Version 16.0 software. We also ran an exploratory moderator analysis to see any systematic differences in the relationships. The findings revealed that job performance and job characteristics were positively and significantly related at the 1% level, as were job performance, job crafting, and work engagement. All were positively and significantly related at the 1% level. Work engagement and job crafting, too, were positively correlated and statistically significant at the 1% level. Furthermore, p < 0.05 for gender and p < 0.10 for educational level indicated that educational level and gender moderated the relationship between job performance, work engagement, job characteristics, and job crafting significantly. Cronbach’s alpha was used to conduct the reliability test, which indicated a good (0.8 ≤ α < 0.9) and excellent (0.9 ≤ α) internal consistency because Cronbach’s alpha was more significant than the 0.6 thresholds, and the validity indicated that the model was adequate.

Keywords

Job Crafting, Job Redesign, Work Engagement, Job Performance, Job Characteristics, Meta-analysis, Systematic Review, PRISMA, Structural Equation Modeling.

JEL Classification Codes : J28, I31, M10, M12, M54.

Paper Submission Date : April 20, 2021 ; Paper Sent Back for Revision : December 20, 2021 ; Paper Acceptance Date : December 30, 2021 ; Paper Published Online : January 15, 2022.

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  • Job Crafting : A Systematic Review and Meta - Analytical Relationships with Precursors and Work Outcomes (2001 – 2021)

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Authors

Gandhi Vasanth Kumar
Research Scholar, PhD Commerce (Corresponding Author), Christ (Deemed to be University), Hosur Road, Bhavani Nagar, S.G. Palya, Bengaluru - 560 029, Karnataka, India
Valarmathi B.
Associate Professor, Christ (Deemed to be University), Hosur Road, Bhavani Nagar, S.G. Palya, Bengaluru - 560 029, Karnataka, India

Abstract


Meta-analysis and SEM (structural equation modeling) were used to investigate the relationship between job crafting, job characteristics, work engagement, and job performance. We used random effects of meta-analysis to statistically integrate 199 primary studies and structural equation modeling to examine the assumed moderation through gender and educational levels using Stata: Version 16.0 software. We also ran an exploratory moderator analysis to see any systematic differences in the relationships. The findings revealed that job performance and job characteristics were positively and significantly related at the 1% level, as were job performance, job crafting, and work engagement. All were positively and significantly related at the 1% level. Work engagement and job crafting, too, were positively correlated and statistically significant at the 1% level. Furthermore, p < 0.05 for gender and p < 0.10 for educational level indicated that educational level and gender moderated the relationship between job performance, work engagement, job characteristics, and job crafting significantly. Cronbach’s alpha was used to conduct the reliability test, which indicated a good (0.8 ≤ α < 0.9) and excellent (0.9 ≤ α) internal consistency because Cronbach’s alpha was more significant than the 0.6 thresholds, and the validity indicated that the model was adequate.

Keywords


Job Crafting, Job Redesign, Work Engagement, Job Performance, Job Characteristics, Meta-analysis, Systematic Review, PRISMA, Structural Equation Modeling.

JEL Classification Codes : J28, I31, M10, M12, M54.

Paper Submission Date : April 20, 2021 ; Paper Sent Back for Revision : December 20, 2021 ; Paper Acceptance Date : December 30, 2021 ; Paper Published Online : January 15, 2022.




DOI: https://doi.org/10.17010/pijom%2F2022%2Fv15i1%2F167860