| Title |
Deconstructing job insecurity: do its qualitative and quantitative dimensions add up? / |
| Authors |
Urbanavičiūtė, Ieva ; Lazauskaitė-Zabielskė, Jurgita ; De Witte, Hans |
| DOI |
10.1007/s41542-021-00096-3 |
| Full Text |
|
| Is Part of |
Occupational health science.. London : Springer. 2021, vol. 5, p. 415-435.. ISSN 2367-0134. eISSN 2367-0142 |
| Keywords [eng] |
job insecurity ; latent profile analysis ; employee well-being ; organizational change ; psychosocial stress |
| Abstract [eng] |
Despite substantial interest in job insecurity as a severe workplace stressor, the way in which its qualitative and quantitative dimensions co-occur is not fully understood. As a result, the variety of their combinations and potentially differential effects that they produce remain underexplored. The current study aimed to address this gap in two ways. First, we hypothesized that quantitative job insecurity would manifest in a cumulated form along with qualitative job insecurity but not vice versa. Second, we aimed to test whether different combinations of quantitative and qualitative job insecurity differentially reflect in employees’ occupational characteristics and health and well-being outcomes. Latent profile analyses were conducted on two different samples of employees (N = 1077 and N = 608). The findings from both samples supported a three-profile solution of qualitative and quantitative job insecurity resulting in the balanced low, balanced high, and qualitative job insecurity dominant profiles. As expected, the probability of temporary and part-time employment was the highest in the balanced high (i.e., cumulated) job insecurity profile. Moreover, both the balanced high and the qualitative job insecurity dominant profiles were linked to significantly lower mental health and well-being than the low job insecurity profile, suggesting that substantially detrimental effects may occur even if experiencing qualitative job insecurity only. |
| Published |
London : Springer |
| Type |
Journal article |
| Language |
English |
| Publication date |
2021 |
| CC license |
|
