Retaining a diverse workforce: the impact of gender‐focused human resource management

AuthorIsabel Metz,Muhammad Ali,Carol T. Kulik
Date01 November 2015
Published date01 November 2015
DOIhttp://doi.org/10.1111/1748-8583.12079
Retaining a diverse workforce: the impact of
gender-focused human resource management
Muhammad Ali, QUT Business School, Queensland University of Technology
Isabel Metz, Melbourne Business School, University of Melbourne
Carol T. Kulik, School of Management, University of South Australia
Human Resource Management Journal, Vol 25, no 4, 2015, pages 580–599
Demography theory suggests that high gender diversity leads to high turnover. As turnover is costly,
we tested the following: a main effect prediction derived from demography theory, and a moderating effect
prediction derived from the relational framework. Data on 198 publicly listed organisations were collected
through a human resources decision-maker survey and archival databases. The results indicate that
higher gender diversity leads to lower turnover in organisations with many gender-focused policies and
practices. Findings suggest that organisations can lower their turnover rates by increasing their gender
diversity and by implementing gender-focused policies and practices.
Contact: Dr Muhammad Ali, QUT Business School, Queensland University of Technology, 2
George Street, Brisbane, Queensland 4001, Australia. Email: m3.ali@qut.edu.au
Keywords: gender diversity; turnover; gender-focused policies and practices
INTRODUCTION
In light of ongoing skill shortages, high employee turnover rates are a challenge for
organisations around the world (Batt and Valcour, 2003; Allen et al., 2010). For instance, in
Australia, 1.1 million people – 9 per cent of the workforce – changed jobs in the financial
year 2012–2013 (Australian Bureau of Statistics, 2013). Turnover refers to employees departing
an organisation voluntarily or involuntarily (Pelled, 1996a). High turnover rates generate huge
financial (e.g. recruitment and training costs) and non-financial (e.g. loss of specialised
knowledge) costs for organisations (Cascio, 1991; Hancock et al., 2013). The turnover cost
(financial and non-financial) to organisations in Australia is estimated to be $20 billion a year
(Australian Human Resources Institute, 2008). Scholars have been actively researching the
possible determinants of turnover, turnover processes and contextual variables, with the main
aim of providing insight into how turnover rates can be reduced. That makes turnover one of
the most studied areas of management (e.g. Shaw et al., 1998; Tsui and Gutek, 1999).
Most turnover research focuses on the role of individual perceptions and attitudes (for
reviews, see Holtom et al., 2008). This focus on ‘below the line’ individual-level processes
neglects the role of organisational variables leading to organisational-level outcomes (‘above the
line’ research; Kulik, 2014). Thus, past empirical research, in general, fell short of testing
demography theory’s organisational diversity–turnover prediction – greater organisational
diversity is associated with higher turnover (Pfeffer, 1983). Organisational diversity represents
the ‘composition, in terms of basic attributes such as age, sex, educational level, length of
service or residence, and race’ of an organisation (Pfeffer, 1983: 303). Pfeffer and O’Reilly
(1987) identified two reasons for researching the diversity–turnover relationship at the
organisational level: (a) human resource managers are mainly concerned about turnover rates
at the organisational level for planning purposes and (b) organisational level variables (e.g.
organisational diversity) can be used as proxies for employee behaviours leading to turnover.
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doi: 10.1111/1748-8583.12079
HUMAN RESOURCE MANAGEMENT JOURNAL, VOL 25 NO 4, 2015580
© 2015 John Wiley & Sons Ltd.
Please cite this article in press as: Ali, M., Metz, I. and Kulik, C.T. (2015) ‘Retaining a diverse workforce: the impact of gender-focused human
resource management’. Human Resource Management Journal 25: 4, 580–599.
Despite demography theory’s relevance to organisational-level relationships and its emphasis
on studying the impact of organisational diversity on turnover, little attention has been given
to the demographic diversity–turnover relationship at the organisational level of analysis.
The first objective of this study is to address this research gap by testing demography theory
at the appropriate organisational level: demography theory predicts that greater organisational
gender diversity is associated with higher turnover in organisations across industries (Pfeffer,
1983). Organisational gender diversity refers to the proportional representation of men
and women in an organisation, from 0/100 proportions reflecting homogeneity to 50/50
proportions reflecting the highest level of gender diversity. A review of past literature on the
diversity–turnover relationship revealed that most studies investigated this relationship at the
top management team level (e.g. Godthelp and Glunk, 2003; Boone et al., 2004) and the business
unit level (e.g. Leonard and Levine, 2006; McKay et al., 2007). Only a few studies tested the
diversity–turnover relationship at the organisational level, and these studies relied on public
sector organisations: federal government agencies (Choi, 2009) and community hospitals
(Pfeffer and O’Reilly, 1987; Alexander et al., 1995). Choi (2009) noted that public sector
organisations are, in general, more diverse and more supportive of gender diversity than are
private sector organisations. Therefore, it is unclear to researchers and practitioners whether
higher organisational gender diversity leads to higher turnover in private sector organisations
across industries.
The relational framework of diversity management links diversity factors operating at three
levels: national (e.g. laws), organisational (e.g. HR policies and practices), and individual (e.g.
turnover) (Syed and Özbilgin, 2009). The framework suggests that diversity should be managed
at multiple levels by aligning the factors operating within and across levels. For instance,
Australian equal opportunity laws centre on women (Syed and Kramar, 2010). These laws
simultaneously drive increases in organisational gender diversity and improvements in gender
diversity management (Nishii and Özbilgin, 2007; Kramar, 2012). The second objective of this
study is to investigate whether an alignment between organisational gender diversity and
gender-focused HRM may reduce turnover rates. Gender-focused HRM includes HR policies
and practices that ensure gender diversity and provide an environment where women’s
well-being is actively promoted (Konrad and Linnehan, 1995; McKay et al., 2007). Thus we
are responding to calls for studying HR policies and practices that may moderate the
diversity–organisational outcome relationship (Guillaume et al., 2013; Kulik, 2014).
To achieve the two objectives set for this study, we use time lagged data collected through
archival sources and a 2007 survey of HR decision-makers at organisations listed on the
Australian Securities Exchange (ASX). The three data points represent time lags of 1 and 2 years
between organisational gender diversity (2005) and turnover (2006 and 2007).
PREDICTIONS
Main gender diversity–turnover prediction
Demography theory suggests that the demographic composition of an organisation determines
the behaviour, attitudes and social interaction of people from both the majority and minority
categories with ‘subsequent impacts on psychological well-being, attitudes, and even job
performance’ (Pfeffer, 1983: 304). Demographic similarity (which implies similarity in attitudes,
beliefs, and values) leads to attraction, and demographic dissimilarity (which implies
dissimilarity in attitudes, beliefs, and values) leads to a lack of attraction (Byrne, 1971). The
behaviours and attitudes generated by a gender diverse organisational workforce include
decreased communication (Kravitz, 2003), stereotype-based role expectations (Elsass and
Muhammad Ali, Isabel Metz and Carol T. Kulik
HUMAN RESOURCE MANAGEMENT JOURNAL, VOL 25 NO 4, 2015 581
© 2015 John Wiley & Sons Ltd.

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