The influence of calculative (“hard”) and collaborative (“soft”) HRM on the layoff‐performance relationship in high performance workplaces

DOIhttp://doi.org/10.1111/1748-8583.12291
AuthorTimothy Bartram,Carol T. Kulik,Stewart Johnston,Christina Cregan
Published date01 January 2021
Date01 January 2021
ORIGINAL ARTICLE
The influence of calculative (hard)
and collaborative (soft) HRM on the layoff-
performance relationship in high performance
workplaces
Christina Cregan
1
| Carol T. Kulik
2
| Stewart Johnston
1
|
Timothy Bartram
3
1
Department of Management and Marketing,
University of Melbourne, Parkville, Victoria,
Australia
2
University of South Australia Business
School, Adelaide, South Australia, Australia
3
School of Management, RMIT University,
Melbourne, Victoria, Australia
Correspondence
Christina Cregan, Department of
Management and Marketing, University of
Melbourne, Parkville, Victoria, Australia 3010.
Email: ccregan@unimelb.edu.au
Abstract
We investigate the effect of employment systems on the
layoff-performance relationship. We construct a typology
of two types of HPWS (Calculative or hardHRM and
Collaborative or softHRM) and two non-high perfor-
mance systems (Traditional HRM and Low HRM). We use
attribution theory as a framework from which to draw
hypotheses. We examine survey responses from two
waves of panel data. We employ cluster analysis to iden-
tify distinctive configurations o f employment pract ices
used in UK workplace s. We use the cluster ou tcomes as
explanatory variables in moderator regression analysis.
Following layoffs, we find that Calculative workplaces
experience lower subsequent performance than Collabora-
tive workplaces. Over the next five years, Calculative and
Collaborative workplaces experience equivalent amounts
of performance change but Calculative workplaces fail to
make a full recovery.
KEYWORDS
attribution theory, cluster analysis, collaborative and calculative
HRM, high performance work systems, layoff-performance
relationship, mutual gains, soft and hard HRM
Received: 25 July 2018 Revised: 17 January 2020 Accepted: 3 March 2020
DOI: 10.1111/1748-8583.12291
202 © 2020 John Wiley & Sons Ltd Hum Resour Manag J. 2021;31:202224.wileyonlinelibrary.com/journal/hrmj
1|INTRODUCTION
In recent decades, a management strategy of large-scale layoffs has become the norm in many countries, causing
upheaval and stress to countless thousands of employees, their families and local communities (De Meuse &
Dai, 2012; Goyer, Clark, & Bhankaraully, 2016; Munoz-Bullon & Sanchez-Bueno, 2014). In the three months prior to
June 2019 in the UK, a monthly average of 101,000 people was laid off and quarterly redundancy figures had rarely
fallen below this level in the previous two decades (Office for National Statistics, 2018). Managers frequently justify
this activity by arguing that a leaner and meanerstructure will ensure that the organisation maintains its competi-
tive edge (Datta, Guthrie, Basuil, & Pandey, 2010). Brockner and colleagues provide extensive evidence that layoff
survivors respond vicariously to the treatment of co-workers (e.g., Brockner et al., 2004; Brockner, DeWitt, Grover, &
Reed, 1990; Brockner, Grover, Reed, Dewitt, & O'Malley, 1987). Their findings suggest that survivors perceive unfair
treatment and often react with lowered motivation and effort. Other research shows that employee reactions are
not universal and the influence of layoffs on company performance is therefore uncertain (Schenkel &
Teigland, 2017; for reviews, see Datta et al., 2010; Datta, Basuil, & Radeva, 2012). Such differences in survivor per-
formance have been associated with different contexts or employment systems (Luan, Tien, & Chi, 2013).
We focus on employment systems in UK workplaces that consist of configurations of HRM practices which seek
to engender high commitment and involvement from employees. These practices form part of a broader high perfor-
mance work system (HPWS) that may also include other practices such as work design. In this article, we use the
term HPWS with reference to high performance HRM practices. In an HPWS workplace, management aims to
achieve the internal fit of its HRM practices as part of a Strategic HRM strategy. It establishes these practices to
elicit employee investment in company skills, proactivity, and innovation by offering long-term employment with
high wages (Wood & Wall, 2007). As employees in such workplaces are prompted to contribute by promises of
ongoing future rewards, following layoffs, survivors might be the most demotivated of employees. Yet while HPWS
has been extensively examined in relation to performance outcomes, there is scant evidence of its influence on the
layoff-performance relationship. Further, there are two major types of high performance HRM that may be associ-
ated with different employee responses to layoffs. Calculative (hard) HRM emphasises financial employee motiva-
tion or incentive practices, while Collaborative (soft) HRM emphasises humanising motivation practices
(e.g., Gooderham & Nordhaug, 2011). No major study has examined whether, following layoffs, these different types
of HPWS are associated with different performance outcomes.
Our primary aim, therefore, is to compare the layoff-performance relationship in both Calculative and Collabora-
tive contexts. We investigate the following research question: are different types of HPWS associated with differ-
ent layoff-performance relationships?In recent years, researchers have applied attribution theory in studies of
business organisations (e.g., Harvey, Madison, Martinko, Crook, & Crook, 2014). Using attribution theory, we develop
a framework in which to hypothesise the influence of layoff severity on workplace performance in the context of dif-
ferent employment systems both in the short term and over a longer period. In order to capture the severity of lay-
offs, we measure the proportion of employees who are laid off (Trevor & Nyberg, 2008). In most countries, one type
of HRM tends to predominate but a stream of studies has identified the co-existence of Calculative and Collabora-
tive HRM as a long-term distinguishing feature of the UK (e.g., Cook, MacKenzie, & Forde, 2016; Gooderham,
Nordhaug, & Ringdal, 1999; Jenkins & Delbridge, 2013; Legge, 2005; Machin & Wood, 2005; Storey, 1989). The
British regime appears to be unique in that both Calculative and Collaborative practices are widespread
(Gooderham et al., 1999:p. 526). Thus, to make our comparison, we conduct analyses of UK datasets, in the form of
two Workplace Employment Relations Surveys (WERS1998 and WERS2004).
We begin by employing cluster analysis to sort the entire range of major employment practices used in UK work-
places in 1998 into distinctive configurations, that is, employment systems. We use layoffs and the employment sys-
tem outcomes of the clustering process as explanatory variables in the regression analyses. First, we examine the
association of layoffs and employment systems with subsequent or short-term performance in 1998. Initially, we
examine layoffs and employment systems as main effects. Then our contribution is to combine these variables as
CREGAN ET AL.203

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