Pre‐Exit Bundling, Turnover of Professionals, and Firm Performance

Published date01 January 2018
Date01 January 2018
DOIhttp://doi.org/10.1111/joms.12315
Pre-Exit Bundling, Turnover of Professionals,
and Firm Performance
Rhett A. Brymer and David G. Sirmon
Miami University; University of Washington
ABSTRACT Context-emergent turnover theory (CETT) focuses on the contextual factors that
influence the turnover-firm performance relationship, yet to date, has not investigated how
particular firms weather the detrimental effects of loss more effectively than others. We build
on the CETT literature by theorizing that different human resource bundling strategies are
central contextual factors that impact the effects of human resource exit. Specifically, we
argue that bundling human resources prior to exit in greater concentrations deflects some
harmful effects of turnover. Pre-exit bundling ensures that remaining professionals post-exit
retain both the capacity necessary to meet job demands and the critical tacit knowledge of
firm routines that maintain effectiveness. Our study examines the loss of professionals in a
panel of the largest U.S.-based law firms. We find general support for our theory . Results
show that losing professionals when the pre-exit bundling had produced greater service-,
hiring-, and geographic-concentration lessens the negative effects of loss.
Keywords: context-emergent turnover theory, human capital, interfirm mobility,
professionals, resource bundling
INTRODUCTION
Movement of valuable and talented employees between organizations is common in
developed economies (Cappelli, 2008). Of particular consequence to firms is the mobil-
ity of professionals because their specialized knowledge, skills, and experience influence
the creation and implementation of effective firm strategies (Lepak and Snell, 1999;
Mawdsley and Somaya, 2015, 2016). Losing professionals, who comprise a distinct
employee type due to their specialization and deep tacit knowledge that develops slowly,
can be particularly detrimental as professional attrition disrupts or even erodes firm
routines that influence the effectiveness of other employees and functional areas, thereby
magnifying the effect of loss (Aime et al., 2010; Phillips, 2002; Wezel et al., 2006).
Address for reprints: Rhett A. Brymer, Department of Management, Farmer School of Business, 800 East
High Street, Oxford, OH, 45056, USA (brymerra@miamioh.edu).
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C2017 John Wiley & Sons Ltd and Society for the Advancement of Management Studies
Journal of Management Studies 55:1 January 2018
doi: 10.1111/joms.12315
Context-emergent turnover theory (CETT) is helpful in understanding the firm-level
consequences of losing multiple employees (i.e., collective turnover) over time. Notably,
CETT not only attends to the amount of loss, but also the context of the turnover event
(Nyberg and Ployhart, 2013). Empirical testing of CETT to date has focused primarily
on the volume of workers lost along with contexts such as the timing of the turnover
events (Call et al., 2015), the job type of workers lost (Siebert and Zubanov, 2009), and
other variables related to the individuals who choose to move. However, characteristics
of the firm that the employees left have been largely overlooked. We suggest that CETT
should consider focal organizational contexts more fully, as they are the contexts most
securely under the firm’s control and thus represent avenues to actively mitigate losses.
Indeed, in a review of collective turnover research, Shaw (2011) observed that studies
exploring the organizational contexts of collective turnover are quite rare. Such an
omission is particularly curious since equivalent turnover volumes would differentially
affect firms with heterogeneous strategies, resources, structures, capabilities, and
markets.
Using the literature on resource orchestration as a guide, we theorize that the pre-
turnover configuration of professionals is essential to the post-turnover performance of
the exited firm. Following resource orchestration in general (Sirmon et al., 2007, 2011)
and work on human capital in particular (Chadwick, 2017; Ployhart and Moliterno,
2011), we argue that the way a firm bundles its professionals’ human capital – i.e., how
the firm organizes professionals’ skill, knowledge and experience in the support of partic-
ular capabilities – will differentially impact the effects of professional turnover on future
firm performance. Hypotheses explore how bundling professionals in greater concentra-
tions across dimensions of geography, goods/services offered, seasoned newcomers, and
management can combat the disruptive nature of professional turnover. Foreshadowing
our logic, we argue that bundling professionals in greater concentrations prior to exit
ensures that remaining professionals are able to meet the job demands left after the exit.
Additionally, bundling in high concentrations prevents the harmful erosion of tacit
knowledge that supports the routines that other employees at every level depend upon
to be effective (see Reilly et al., 2014). Thus, our research question is: How does firm
bundling of professionals’ human capital prior to turnover affect subsequent firm
performance?
Using a sample of partners in the largest US-based law firms from 2000–07, we inves-
tigate how professionals in this industry are bundled across dimensions of geography,
services offered, added newcomers (i.e., seasoned professionals hired externally of the
firm), and managerial structure prior to exit. These dimensions represent fundamental
ways professional services firms bundle their human resources and can be generalized to
most firms that make staffing and strategy decisions about product diversification, geo-
graphic diversification, hiring, and organizational structure. We submit that these deci-
sions can buffer or exacerbate the effects of losing valued employees. Since professional
services firms in general, and law firms specifically, are not R&D, physical capital, or
advertising intensive organizations, our sample offers a focused test of the fundamental
ways firms bundle specialized human resources, particularly in professional settings (see
Riley et al., 2017).
147Pre-Exit Bundling, Turnover, and Performance
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C2017 John Wiley & Sons Ltd and Society for the Advancement of Management Studies

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