The "HR–line-connecting HRM system" and its effects on employee turnover
Open accessAbstract
Although the importance of positive, trusting, and cooperative relations between HR professionals and line managers has been well documented, little is known about how organizations can systematically nurture such relationships. This article specifies the “HR–line‐connecting HRM system,” which consists of a bundle of HRM practices designed to improve the relationship between HR and line managers. Drawing on the social capital perspective and HR strength theory, we propose that such HRM practices develop HR managers' social networks with line managers and facilitate the formation of a shared language between them, which should in turn result in low employee turnover. Our theory is generally supported by empirical analyses on data from Chinese high‐tech firms.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
HRM (AI) assimilation will positively influence HR empowerment.
“Research Proposition 13: HRM (AI) assimilation will positively influence HR empowerment.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Kim et al., 2018
Cites
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 23,433 · see citing works
Social Capital: Prospects for a New Concept
Adler, P. S., & Kwon, S.-W. (2002) · The Academy of Management Review · doi:10.2307/4134367 · Cited by 9,665 · see citing works
Understanding HRM–Firm Performance Linkages: The Role of the “Strength” of the HRM System
Bowen, D. E., & Ostroff, C. (2004) · Academy of Management Review · doi:10.5465/amr.2004.12736076 · Cited by 2,996 · see citing works
NISHII, L. H., LEPAK, D. P., & SCHNEIDER, B. (2008) · Personnel Psychology · doi:10.1111/j.1744-6570.2008.00121.x · Cited by 1,410 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
AI-augmented HRM: Antecedents, assimilation and multilevel consequences
Prikshat, V., Malik, A., & Budhwar, P. (2023) · Human Resource Management Review · doi:10.1016/j.hrmr.2021.100860 · Cited by 200 · see citing works
Jo, J., Chadwick, C., & Han, J. H. (2024) · Human Resource Management · doi:10.1002/hrm.22184 · Cited by 43 · see citing works
- Authors
- Kim, S., Su, Z., & Wright, P. M.
- Affiliations
- UNSW Sydney (AU)
- School of Labor and Human Resources Renmin University of China Beijing China
- University of South Carolina (US)
- Venue
- Human Resource Management
- Publisher
- Wiley
- Published
- 2018-03-06
- Volume
- 57
- Issue
- 5
- Pages
- 1219-1231
- ISSN
- 0090-4848 (ISSN-L)
- 1099-050X
- OpenAlex
- W2791320855
- Cited by
- 47
- References
- 4
- Citations by year
- 2026: 3 · 2025: 13 · 2024: 7 · 2023: 3 · 2022: 8 · 2021: 6 · 2020: 6 · 2018: 1
- FWCI
- 5.37
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Human Resource Management (publishedVersion)
- UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion, cc-by-nc-nd)
- Funders
- National Natural Science Foundation of China (71272157, 71472178)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Human Resource and Talent Management
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Keywords
- human resource management practices, employee turnover, social capital, social networks, shared language, high-tech enterprises, Chinese enterprises
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
