Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
TIED IN OR TIED UP? THE CONTRASTING EFFECTS OF SOCIAL TIES ON EMPLOYEE TURNOVER. |
| Συγγραφείς: |
IORIO, ALESSANDRO1 alessandro.iorio@unibocconi.it, MORRIS, SHAD2 shad_morris@byu.edu |
| Πηγή: |
Academy of Management Journal. Oct2026, Vol. 69 Issue 5, p1044-1075. 32p. 1 Color Photograph, 3 Charts, 6 Graphs. |
| Θεματικοί όροι: |
*Labor turnover, *Social networks, *Interpersonal relations, *Organizational behavior, *Employee retention, Information overload |
| Περίληψη: |
A key theoretical tension in organizational network research lies in understanding how interpersonal connections shape employee turnover. While extensive workplace networks can reduce turnover by granting access to valuable information and resources, they can also increase it by exposing employees to information overload, leading to cognitive strain and disengagement. Drawing on process theory, we bridge these two previously disconnected mechanisms—information access and information overload—to uncover how they jointly influence turnover. We propose that an intermediate number of instrumental workplace connections maximizes retention, as it balances the benefits of information access with the burdens of overload. Specifically, we theorize that information access exhibits diminishing marginal returns in mitigating turnover as additional connections provide less value, while information overload accelerates as employees struggle to process a growing volume of inputs, resulting in a U-shaped relationship between the size of an employee’s network and turnover. We test these arguments across four studies: two preregistered experiments and two field studies of employees in large organizations. Our findings challenge conventional wisdom that larger networks are universally beneficial, providing insights into how the structure of informal networks drives turnover dynamics. [ABSTRACT FROM AUTHOR] |
|
Copyright of Academy of Management Journal is the property of Academy of Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Βάση Δεδομένων: |
Business Source Index |