Psychological capital

Psychological capital Purpose – A number of studies have identified a relationship between the positive psychological capital (PsyCap) of employees and desirable outcomes. Given current and projected shortages of truck drivers that could become the “Achilles heel” of the global supply chain, the purpose of this paper is to test whether and how drivers’ attitudes and PsyCap relates to their intentions to quit. Design/methodology/approach – Using survey data from truckload drivers ( n =251) from two major transportation firms, correlation, regression, and path analysis were conducted to assess the relationship between job satisfaction, organizational commitment, PsyCap, and intentions to quit. Findings – Results of this study indicate strong positive relationships between PsyCap and job satisfaction and organizational commitment and a strong negative correlation with intentions to quit. Structural equation modeling suggests that job satisfaction and organizational commitment mediate the relationship between PsyCap and turnover intentions. Practical implications – Managerial implications for recognizing, understanding, and developing PsyCap in the transportation industry are derived from this study. Specific training guidelines are provided. Originality/value – The major contribution of this paper is that it provides, for the first time, empirical evidence that PsyCap can be utilized to improve retention rates for truckload drivers. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Physical Distribution & Logistics Management Emerald Publishing

Loading next page...
 
/lp/emerald-publishing/psychological-capital-s94KJ0o1BP
Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0960-0035
DOI
10.1108/IJPDLM-06-2013-0174
Publisher site
See Article on Publisher Site

Abstract

Purpose – A number of studies have identified a relationship between the positive psychological capital (PsyCap) of employees and desirable outcomes. Given current and projected shortages of truck drivers that could become the “Achilles heel” of the global supply chain, the purpose of this paper is to test whether and how drivers’ attitudes and PsyCap relates to their intentions to quit. Design/methodology/approach – Using survey data from truckload drivers ( n =251) from two major transportation firms, correlation, regression, and path analysis were conducted to assess the relationship between job satisfaction, organizational commitment, PsyCap, and intentions to quit. Findings – Results of this study indicate strong positive relationships between PsyCap and job satisfaction and organizational commitment and a strong negative correlation with intentions to quit. Structural equation modeling suggests that job satisfaction and organizational commitment mediate the relationship between PsyCap and turnover intentions. Practical implications – Managerial implications for recognizing, understanding, and developing PsyCap in the transportation industry are derived from this study. Specific training guidelines are provided. Originality/value – The major contribution of this paper is that it provides, for the first time, empirical evidence that PsyCap can be utilized to improve retention rates for truckload drivers.

Journal

International Journal of Physical Distribution & Logistics ManagementEmerald Publishing

Published: Sep 30, 2014

There are no references for this article.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off