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PROVOCATION SERIES PAPERS: HRM IN THE 21ST CENTURY
Becoming an evidence-based HR practitioner
Denise M. Rousseau, Carnegie Mellon University
Eric G. R. Barends, Vrije Universiteit Amsterdam
Human Resource Management Journal, Vol 21, no 3, 2011, pages 221–235
Evidence-based HR (EBHR) is a decision-making process combining critical thinking with use of the best
available scientific evidence and business information. We describe how to get started as an evidence-
based HR practitioner. Actively managing professional decisions is a key aspect of EBHR. Doing so
involves making decisions, especially consequential or recurring ones, using practices supported by
high-quality research. We present a step-by-step set of approaches to becoming an evidence-based HR
practitioner: from getting started, through everyday practices and continuous learning to integrating
EBHR into your organisation. In offering guidance for evidence-based practice, this article underscores
the connection between effective practice and organisational research.
Contact: Denise M. Rousseau, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA
15213-3890, USA. Email: denise@cmu.eduhrmj_173 221..235
INTRODUCTION
The complexity and fast pace of today’s organisations often lead to knee-jerk business
decisions, fad chasing and guesswork regarding ‘what works’. Busy HR managers may
put on autopilot critical choices affecting the future of their firms, their employees and
the public. The HR practitioner does have a way to learn how to make better-quality decisions
and use HR practices that actually work – becoming an evidence-based HR (EBHR) practitioner.
This article is a primer on the what, why and how of evidence-based HR practice. It is written
with the HR practitioner in mind as well as the HR student and consultant. In celebration of
HRMJ’s 21 years of publishing academic research which pays particular attention to policy and
practice, we describe how practitioners can use research in their day-to-day management
activities. The issues we address can also apply to HRM scholars seeking to make their research
more accessible to practitioners.
EBHR is motivated by a basic fact: faulty practices and decision making abound in HR.
Companies persist in using unstructured interviews to try to assess a job candidate’s fit, even
though there is little evidence that typical interviews can do that (Stevens, 2009). HR
departments often pursue one-size-fits-all standardisation in their policies, despite considerable
evidence that programmes promoting flexibility benefit people and firms (Rousseau, 2005). In
all honesty, can you answer ‘yes’ to the question, ‘Do you know the scientific evidence for ANY
of the HR practices your company uses?’ Recent surveys of HR practitioners lead us to suspect
that the frank response from many readers is ‘no’.
Blind faith has no place in professional practice. The fundamental problem is not so much
that a practitioner lacks scientific knowledge (though that is an issue). Rather, the key problem
is the absence of a questioning mindset. Thinking critically is what good professionals do.
Wondering what works, what does not and why is the first step towards improving practice.
Critical thinking means actively exploring alternatives, seeking understanding and testing
assumptions about the effectiveness of one’s own professional decisions and activities.
doi: 10.1111/j.1748-8583.2011.00173.x
HUMAN RESOURCE MANAGEMENT JOURNAL, VOL 21 NO 3, 2011 221
© 2011 Blackwell Publishing Ltd.
Please cite this article in press as: Rousseau, D.M. and Barends, E.G.R. (2011) ‘Becoming an evidence-based HR practitioner’. Human Resource
Management Journal 21: 3, 221–235.
The opposite of critical thinking is imitation, reliance on copycat practices from other
companies, while ignoring widely available scientific findings regarding what works and what
does not. Most insights from HR research do not reach the practitioner – despite the existence
of evidence-based guides written with practice in mind (Latham, 2009; Locke, 2009).
Here’s a quick ‘what do you know’ test to check your knowledge of well-established
scientific findings in HR. True or false?
1. Combining managerial judgement with validated test results is optimal for selecting
successful new employees.
2. Incompetent people benefit more from feedback than highly competent people.
3. Task conflict improves work group performance while relational conflict harms it.
4. Being intelligent is a disadvantage for performing low-skilled jobs.
5. Integrity tests do not work because people lie on them.
Are you surprised to learn that all these statements are false? Each has been disproved by large
bodies of studies, 30 in the case of Statement 3, regarding task and relational conflict (DeDreu
and Weingart, 2003) and more than 200 in the case of the effects of intelligence (Statement 4;
Salgado et al., 2003; Hülsheger et al., 2007). Adding managerial judgement into hiring decisions
(Statement 1) actually leads to poorer selection decisions than does the use of validated
selection tests and indicators alone (Highhouse, 2008). Incompetent people have great difficulty
understanding feedback and tend to use it less effectively than their more savvy counterparts
(Statement 2; Ehrlinger et al., 2008). Statement 3 might be considered a bit of a trick: Both task
and relational conflicts reduce work group performance (DeDreu and Weingart, 2003). Contrary
to Statement 4, intelligent people have a widely established advantage in performing all classes
of work (Stevens, 2009). The more intelligent worker is likely to perform better overall,
regardless of whether the job is designing a hotel or cleaning its rooms. Finally, even if people
do distort their answers, integrity tests remain highly predictive of dysfunctional work
behaviours such as theft (Statement 5; Ones et al., 1993). It turns out that impression
management really does not detract from the predictability of these tests (Barrick and Mount,
2009).
If you got most of the answers wrong, you are not alone. The HR community tends to be
poorly informed about what the evidence tells us in such fundamental areas as selection,
training, feedback and HR strategy (Rynes et al., 2002). HR professionals actually fare no better
on average than college undergraduates on an HR knowledge test, although MBAs are slightly
better informed (Timmerman, 2010).
If you got most answers right, you are well informed and may already use evidence in your
HR practice. And, you might already know that the HR department’s capacity to help firms
confront contemporary challenges lies in effectively deploying scientific knowledge regarding
what works. Building this capacity requires evidence-informed practitioners. This article is an
invitation for HR practitioners to participate in their own development and that of the HR field
itself by becoming evidence-informed practitioners.
THE CALL FOR EBHR
Evidence-based practice is a radical change from management and HR ‘as usual’. It entails
redoubling our efforts to do what we know works and to develop critical judgement in making
decisions that impact the well-being of our organisations and employees. EBHR means making
decisions, promoting practices and advising the organisation’s leadership through the
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conscientious combination of four sources of information: the best available scientific evidence;
reliable and valid organisational facts, metrics and assessments; practitioner reflection and
judgement; and the concerns of affected stakeholders.
The call for greater scientific underpinning of interventions and decisions in practice has met
with wide acceptance in such fields as medicine (Sackett et al., 2000), education (Ambrose et al.,
2010), criminal justice (Sherman, 2002) and advertising (Armstrong, 2010). At the outset, EBHR
has a huge advantage over other fields, especially in business. HR research is well developed,
with bodies of evidence related to many ongoing organisational challenges. HR domains in
which the science is quite informative include motivation, group processes, task coordination,
individual and organisational learning and development, adaptation, innovation and change
management, conflict and its resolution. In fact, out of all of management’s many subfields, HR
has the richest, most expansive base of scientific evidence to date (Locke, 2009; Charlier et al.,
2011).
The need to rethink conventional HR practice is urgent. Recent events add further
complexity to challenges that by themselves would test the acumen of any expert or
practitioner: economic meltdowns, failed business models and deteriorating organisational
capacities to forecast and manage risk and adapt effectively to market changes. If the globalised
environment is less predictable and stable than in the past, managers need to be realistic about
what can and cannot be learned from past practice. Managers must learn how to respond better
to uncertainty (Taleb, 2010) by pursuing greater flexibility in the face of unpredictable events
(Weick and Sutcliffe, 2007).
At the same time, this environment contains a powerful means for building capacity to
address its highly demanding conditions. The explosion of knowledge accessible via the
Internet includes the broad accumulation of scientific research on management and HR issues.
We are the beneficiaries of over 65 years of post-World War II management and social science
research – a deep and broad body of evidence. Lots of information (and knowledgeable people
who can point practitioners to it) is accessible, ranging from evidence summaries (Locke, 2009)
to Internet-enabled communities of practice (http://www.evidencebased-management.com).
Note that although scholars, educators and consultants provide essential support, EBHR
remains something only practitioners actually do. If you are an HR practitioner, your
willingness to become involved, innovate and share what you learn in becoming an EBHR
practitioner is a key stepping stone in this initiative.
THE PRACTICE OF EVIDENCE-BASED HR
The basic steps for becoming an evidence-based manager fall into three phases: (a) getting
started, (b) everyday practice and learning, and (c) integrating EBHR in the organisation. These
steps reflect the critical activities today’s evidence-informed practitioners are engaged in and
form the basis of training programmes and courses in evidence-based management.
It starts with your mind
A practitioner interested in the idea of EBHR has lots of options for what he or she could do
differently as a result of adopting it as a standard practice. Some people are drawn to an idea
they have read about, like the people who started holding their group meetings standing up
after Pfeffer and Sutton (2006) reported that Chevron used this ‘evidence-based practice’ to
make meetings shorter and more efficient. Picking up a new idea and trying it out, however,
is not in itself evidence-based practice. It is more like a ‘flavour of the month’ approach
because the decision making behind the use of the new practice does not take into account
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what is likely to work in that particular organisation. This kind of faddish adoption is not
what we consider to be EBHR practice. It is more like an old wine in a new bottle. Instead,
a more mindfully engaged way to get started is to first come to understand what evidence-
based practice really is; then, do the critical thinking – with a questioning mindset – that acting
on evidence requires.
Understanding what EBHR means At its core, EBHR combines four fundamental features
into everyday management practice and decision making (Rousseau, 2006, 2012):
1. Use of the best available scientific evidence from peer-reviewed sources.
2. Systematic gathering of organisational facts, indicators and metrics to better act on the
evidence
3. Practitioner judgement assisted by procedures, practices and frameworks that reduce bias,
improve decision quality and create more valid learning over time.
4. Ethical considerations weighing the short- and long-term impacts of decisions on
stakeholders and society.
The best available research evidence When referring to the best available evidence, we
generally mean findings from published scientific research. Research in scientific journals is
vetted according to evidentiary criteria including standards for measurement reliability and
internal validity. The vetting process is known as ‘peer review’ (Werner, 2012). Measurement
reliability means that indicators are low in error, a concern with all data, from telephone
numbers to profit measures and survey questions. Internal validity indicates how likely it is
that results may be biased. Bias exists where alternative explanations for a study’s results are
not controlled or ruled out. For instance, let us say the research question is whether self-
managing teams improve labour productivity. Better-quality evidence uses control groups
(conventional teams) or longitudinal designs (comparing the base rate of productivity before
the teams became self-managing to productivity rates measured a long enough time after the
change to see if any initial gains are maintained). In contrast, lower-quality evidence uses
cross-sectional (single-time) surveys or case studies. Sometimes, the best available evidence
may be cross-sectional surveys that control for some biases but not all. In that case, some
evidence is still far better than no evidence at all, and can help improve practitioners’ decisions
– but it is important to know what kind of evidence is being used and what the advantages
and drawbacks of relying on that evidence could be.
Organisational facts, metrics and assessments An HR manager who seeks to make good use
of evidence must take into account the facts of the situation in order to identify what kinds of
research findings are likely to be useful. For example, when exit interviews are used to figure
out what’s causing recent job turnover, leavers who report a high incidence of job stress can
direct the practitioner’s attention to evidence connecting stress with turnover. Knowing the
facts of the situation makes it easier to seek and use appropriate evidence to identify plausible
explanations for a problem, potentially useful interventions and how best to carry them out.
Such organisational facts can involve relatively ‘soft’ elements such as organisational culture,
employees’ educational level and skills and one’s management style, as well as ‘harder’ figures
such as departmental turnover rates, workload and productivity trends.
Practitioner reflection and judgement Effective use of evidence depends on there being not
only good scientific knowledge informed by organisational facts but also mindful decision
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making. All people have cognitive limits and are prone to bias in making decisions (Simon,
1997). Thoughtful judgement and quality decisions are aided by practices that allow deeper
consideration of relevant evidence and facts (Nutt, 2004; Larrick, 2009). In particular, use of
decision frameworks and routines calls attention to particular aspects of decisions that might
otherwise be neglected (e.g. contingencies, diverse goals; Nutt, 1998, 2004; Yates, 2003).
Evidence is not answers. Suppose you are looking to improve the job performance of new hires.
We know that general mental ability (GMA) generally leads to higher performance (Stevens,
2009), but if your firm is already selecting people with good grades from good schools, GMA
may be pretty much covered in your current criteria. Evidence in itself is not answers but needs
to be considered in context. In our example, new hires may need some other specific set of skills
to be successful, or any performance problems might be due to something inherent to the work
setting itself – inadequate supervision, poor work conditions, etc. Careful analysis of the
situation based on critical thinking, supported by a decision framework that calls attention to
assumptions, known facts and goals (see next discussion), can lead to more accurate assessment
of the problem and interpretation of facts.
The consideration of affected stakeholders HR decisions and practices have direct and indirect
consequences for an organisation’s stakeholders. These consequences affect not only the rank
and file but executives and managers too. In some cases, the affected stakeholders are outside
the organisation, such as its suppliers, shareholders or the public at large. For example, a
decision to increase the retention and advancement rates of women is likely to generate push
back from men. Implementing career-building activities in a way that lets all employees benefit
can reduce the turnover of women and minority group members and increase their
advancement, while sending the signal to those traditionally in the majority that this company
supports career development for employees broadly (Cox, 1994). Attending to stakeholder
issues is a key feature of comprehensive, evidence-based decision practices. These decision
practices are designed to reduce unintended consequences by considering relevant issues
upfront (Yates, 2003).
You might develop your understanding of these four features of EBHR by reading a few of
the sources we cite (most of which can be accessed for free at http://www.evidencebased-
management.com). Then, you might practice explaining what EBHR is to friends and
colleagues. The questions they raise will help develop your understanding of what it is and
what it is not. Looking back over your reading with these questions in mind will help you
answer them.
Some people think EBHR is just a knock-off from the field of medicine. To the contrary,
EBHR is not randomised control trials for managers. Drugs and people aren’t the same. EBHR
does mean getting evidence about what works, which is a hallmark of drug and other treatment
studies. At the same time, EBHR recognises that HR practitioners often must act regardless of
whether evidence is available to guide their decisions. The essence of EBHR is approaching
decisions, uncertainty and risk in a mindful fashion. Practising EBHR involves a hunger for
knowledge and a questioning mindset.
Developing a questioning mindset Unfreezing old habits of mind is necessary to EBHR
practice. It means questioning assumptions, particularly where someone (including ourselves)
asserts some belief as a fact. This habit-forming approach can inform your conversations and
deliberations. You will begin to ask yourself and others, ‘What’s the evidence for that?’ as
impressions, beliefs and attitudes appear in your conversations about the organisation, its
practices and the decisions being made. This approach has turned many recent MBA graduates
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into the ‘evidence police’, an approach they learn to use over time in a manner that promotes
critical thinking without necessarily criticising.
Concern for the facts and logic behind decisions translates into active questioning and
scepticism. Scientists refer to this critical habit of mind as ‘mindfulness’. It is helpful to know
how to develop mindfulness as a way of thinking about information, decisions and actions.
Mindfulness is a ‘heightened sense of situational awareness and a conscious control over one’s
thoughts and behaviour relative to the situation’ (Langer, 1989). Being able to articulate and
check the logic underlying your decisions is an important way to monitor any decision’s quality
(Yates, 2003).
Evidence-focused questioning of statements or assertions changes both the conversations
and deliberations of emergent EBHR practitioners. A must here is for practitioners to learn
ways to raise these questions in socially effective ways (read: civil and persuasive). To be
effective, EBHR managers need to avoid being dismissed as mere naysayer. Raising questions
can be anxiety-provoking for would-be EBHR practitioners who fear making waves. This
questioning extends to assertions made by professors, consultants and other ‘experts’. And, yes,
we expect you to question us by critically considering our arguments, reviewing our sources
and contacting us as needs be. Once practised at it, EBHR practitioners become comfortable
asking, ‘Is this your personal opinion based on your own experience, or is there any scientific
evidence for it?’ You may be surprised to learn how much uncertainty really exists regarding
the practices your organisation uses. Evidence-based practice thrives in a questioning culture
– not a cocky one. No one benefits when decisions are made that deny or downplay the
uncertainties involved. In fact, recognising what we do not know is the first step in identifying
whether uncertainties can be managed. So, if a training programme only increases skills and
knowledge for some of the people some of the time, we might consider what other
interventions might also be useful.
Make your decisions more explicit Managers make decisions all the time. It is their job. In
EBHR, decisions are made explicit to reduce decision neglect (not making a decision that needs
to be made), to avoid making decisions on auto-pilot (important actions are taken without
deliberation) and to increase mindful, deliberate decision making.
The process of making decisions explicit has two parts. The first aspect is developing decision
awareness, recognising the numerous micro-choices you and your company make daily – all with
some potential to be informed by evidence. Try making a list of the events of a morning or
afternoon at work. Who did you encounter? What did you do or say? Then list out the various
opportunities you had to make a decision (no matter how small). You will find that there are far
more decisions you make in a day than you ever realised. Now, EBHR is not about making every
possible decision using some EBHR formula. Far from it: EBHR means becoming more mindful
of the opportunities you have to choose courses of actions, regardless of whether you take action
in every one of them. In effect, you need to recognise decision-making opportunities in order to
make deliberate choices about when evidence is important to pursue.
The second feature of making decisions explicit means to actually begin paying attention to
how a decision gets made. Analyse a recent decision or intervention you have made (alone or
with colleagues). Ask yourself, from whom or where did you learn about the facts used in this
decision? What evidence supported the actual path taken? Did some pieces of information
influence the decision more than others? Was some evidence missing? What indicators do you
have of the decision’s success? Where does it fall short? What alternative ways might this
decision have been made (e.g. using additional or different information, stakeholder
discussions, etc.)?
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Awareness of assumptions made in making an actual decision (information, sources, ways of
deliberating) is a step towards EBHR. Developing decision tools, such as a checklist or decision
model (Yates and Tschirhart, 2006; Gawande, 2009), can prompt more systematic thinking and
use of information. An evidence-savvy practitioner we know regularly uses a logic model he
adopted (see W.K. Kellogg Foundation, 2004) to guide situation analysis and decision making.
In working through decisions with his staff, this executive uses a flow diagram that lays out
questions about the initial assumptions, inputs, activities and expected outputs that a decision
involves. His direct reports tell us that being able to articulate and check the logic underlying
a decision makes it easier to be sure important issues are thought through. Other approaches you
might consider include using a decision template such as Yates’ Cardinal Rules (Yates and
Tschirhart, 2006). The key issue is to create/adopt/adapt a framework for thinking through
important decisions and then making those decisions using the best information available.
Everyday practice of EBHR: making decisions informed by scientific evidence
Making decisions informed by scientific evidence is a turning point in HR practice – it is a big
step, and it is not always easy. The more you do it, the better you will become at it. Start by
gathering evidence relevant to a particularly compelling decision. In developing a crisis
management policy post-9/11, a New York hospital manager commissioned a systematic
review of the evidence to identify effective crisis management practices. When introducing an
electronic physician-ordering system, another manager hired a summer intern to conduct a
systematic review (i.e. a systematic assessment of all research related to a managerial question)
of published studies on managing a change in information technology (IT) (These examples
were provided by Kovner et al., 2009.). Still, we recognise that most decisions are made using
only the information practitioners have at hand. So, let us first talk about how to increase the
quality of evidence you already know.
Doing directed reading on scientific evidence Think about some important knowledge gap
you or your organisation have. Then begin doing regular readings of science-based publications
on the issues (e.g. talent management, market trends, problem-solving processes). Check out the
business section of your local bookseller for books citing research articles as a basis for their
ideas. Avoid books and management articles without citations or full of opinions from so-called
experts. This includes Harvard Business Review and other popular management magazines
unless you come across an article explicitly citing scientific evidence. Else, search online sources
of scientific articles (Your corporate or public library is likely to provide access to HR relevant
e-sources including ABI/INFORM or Business Source Complete from EBSCO. Or use
Google.scholar which gives reasonable access.). Focus on articles that are peer-reviewed (for the
two databases examples, there is a box on the computer screen where you can indicate your
choice). In the peer review process, independent scientists anonymously critique scholarly work
to determine whether it merits publication in a scientific journal. Peer review is central to
establishing the credibility of scientific evidence. The kind of knowledge scientific research
produces includes general principles (e.g. ‘set specific challenging goals to achieve high
performance’, Locke, 2009) as well as frameworks (Boudreau, 1984; Nutt, 2004) to help in
making decisions. Sharing relevant science-based articles on managerial concerns (e.g. talent
management, market trends) with your colleagues can be a way to get them thinking. Such
readings can be the basis for a ‘management book club’ and will provide relevant facts to cite
in memos you write, to make an evidence-based case for your recommendations. On the other
hand, even peer-reviewed articles can contain evidence that is not top quality or is inapplicable
to your situation. So developing and exercising your critical judgement remains important.
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Searching for information on a specific decision Let us talk about how to find high-quality
evidence to incorporate into a specific management decision. There is good news, and there is
bad news. The good news is that in the past year, at least 1,350 research articles on HR were
published. That is also the bad news: You would have to read three or four articles each day
just to keep up with them all. Back to the good news: You do not need to read them all.
Targeted reading helps you to practice in an evidence-informed way. And in the case of
incorporating evidence into a specific decision, we now describe a time-tested approach for
gathering evidence in a practical way.
Imagine you are an HR manager at a large Canadian health-care organisation with 4,000
employees. The board of directors has plans for a merger with a smaller health-care
organisation in a nearby town. However, the board has been told that the organisational
cultures differ widely between the two organisations. The board of directors asks you if this
culture difference can impede a successful outcome of a merger. Most of them intuitively
sense that cultural differences matter, but they want evidence-based advice. So how do you
start?
Formulate an answerable question Start with a focused question based on a practical issue or
problem. Questions like ‘Do team-building activities work?’ ‘Is 360-degree feedback effective?’
may be interesting to answer, but they are also very broad. A more specific question would be
even more relevant and informative. For example, ‘Do team-building activities improve product
quality in manufacturing?’ or ‘Is 360-degree feedback effective as a tool for improving
governmental managers’ service to the public?’ To formulate these targeted questions, consider
the kind of setting (professional, government, non-governmental organisation, for profit) in
which you’re interested, the values and preferences of the target group and the kinds of
outcomes that matter.
In our example, let us assume the board explains that the objective of the merger is to
integrate the back-office of the two organisations (IT, finance, purchasing, facilities, etc.) in order
to create economies of scale. The front offices and the primary processes of the two
organisations will remain separate. Your research question might be something like, ‘How do
organisational culture differences affect a successful integration of back-office functions during
a merger between two health-care organisations of unequal size?’
Search for evidence The fastest, most efficient way to search is to contact people who have
what is called ‘pointer knowledge’ (Goodman and Olivera, 1998). This includes people like
business or social science librarians, college professors or researchers in your areas of interest
who can direct you to the scientific evidence you are looking for. (As an evidence-informed
practitioner, you are likely to find yourself making some new friends over time.) If you do not
have access to such people, then search in a bibliographical database such as ABI/INFORM
yourself.
Start a search with the keywords from your question. Keep in mind that terms used in
everyday speech may differ from the concepts scholars use. In our example, the keywords
of the practitioner and scientist are the same: ‘merger’ and ‘organisational culture’. Since
we want quality articles that include empirical research, we can reduce this total by
adding the term ‘studies’ to our subject terms and checking the box, ‘Scholarly journals
including peer reviewed’. This second search results in 95 articles. Still quite a lot, so we use
a third term, ‘integration’ to search within these articles and reduce the number to 35.
Adding the subject term ‘non-profit organisations’ results in 0 articles, so we stick with
the 35.
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Critically appraise the evidence For topics having a deep evidence base, scholars may have
already pulled together what is known into reviews of the body of evidence. Although some
reviews are summaries of an author’s particular point of view, others are important
authoritative reviews, i.e. reviews that present the most convincing evidence. The general label
for an authoritative review is ‘systematic review’ of which a ‘meta-analysis’ is a particular
case.
A systematic review identifies as fully as possible all the scientific studies of relevance to a
particular subject and then assesses the validity of the evidence of each study separately before
interpreting the full body of evidence. One especially prevalent form of systematic review is a
meta-analysis. It is a study of studies, where findings across studies are combined statistically
in order to achieve a more accurate estimate of the results and the strength of effects that are
described in the various studies. If we look into our 35 articles, we find one systematic review
that is in fact a meta-analysis based on 46 studies with a combined sample size of 10,710
mergers and acquisitions (Stahl and Voigt, 2008). In other words, somebody has done some of
the work for us and pulled together the results from 46 studies of culture difference and
post-merger integration. As a result, the outcome of this single study overweighs the
conclusions of any study alone.
If we had no systematic review or meta-analysis, we would read over the abstracts of the
other 34 studies we retrieved. As we mentioned before, most studies are not valid or relevant,
so how to separate the wheat from the chaff? To do this, we look at the three aspects of each
study: its internal validity (closeness to the truth due to limited bias), impact (size of the effect)
and relevance (applicability to our situation). For each article, we start by reading the abstract
summarising the study. If not enough information is provided, we leaf through the article to
see if it is relevant to the kinds of effects we are interested in. If so, let us then evaluate the
study’s internal validity. The good news is that when it comes to appraising the internal
validity, in most cases you can figure this out by identifying the research design. According to
Norman and Streiner (2003), ‘Cause and effect can be established only through the proper
research design; no amount of statistical hand waving can turn correlations into conclusions
about causation’. The bad news is that most articles are tough to read (or at the very least take
time to read thoroughly) and may not give all the information you’d like about their
methodologies.
Determining how the study was done can require careful reading. Go to the methodology
section (if there isn’t one, be concerned) and ask yourself two questions: Is a control group used
for comparison, and were data collected at more than one point in time to measure the effects
of the intervention? If both questions are answered with yes, the level of evidence of the study
is fairly good. (You could say ‘it is shown that...’ based on this study.) If only one question
is answered with yes, the level of evidence of the study is acceptable, which means you must
be careful with drawing conclusions on the outcome (You might say ‘it is likely that...’instead
of ‘it is shown that...’ if you were citing these results in a conversation or memo). If both
answers are with no, then that study has a low level of evidence. In that case, you need a larger
set of studies with consistent results before drawing conclusions. (The language changes again,
too: ‘there are signs that...’instead of ‘it is likely that . . .’) Additional questions to appraise the
article include:
• ‘Did the researchers use objective and validated measures, questionnaires or other
methods?’
• ‘Are important effects overlooked?’ and
• ‘Could there be bias?’
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Different types of research questions require different types of research designs. As our interest
is in the cause–effect relationship between an intervention and its outcome (‘Does it work?’),
a controlled study with a pre-test conducted prior to a treatment or intervention generally is
the strongest research design. Case studies and cross-sectional designs are the weakest for
showing cause–effect relationships. Of course, this does not mean these study types have an
inherently weak design overall. A case study is an appropriate design for providing descriptive
information and also can be a strong design when it comes to research questions about ‘how’
or ‘why’ an intervention works (Petticrew and Roberts, 2003). Also, case studies are often the
first indication that a management practice has unintended consequences. However, a case
study is not the best design to assess the strength of the cause–effect relationship that might
exist between an intervention and its outcomes (Trochim and Donnelly, 2007).
Well-designed cross-sectional surveys can provide a higher level of evidence when their
analyses test competing explanations, use analytic methods to reduce bias, and their findings
are supported in multiple settings. Both surveys and case studies can be very useful for
management practice, provided it is borne in mind that the results of such study designs are
more prone to bias. Also, if only this type of research is conducted, this remains the best
available evidence and should not be discarded but used with some mindfulness about the
limitations of each.
When we have a look at the abstracts of our 35 articles, we find out that quite a few are not
relevant: Some articles are about cross-border acquisition, contract manufacturing, family firms
or the measurement of cultural differences. When we also leave out all the case studies, we end
up with eight studies. After reading the methodology section, we conclude that seven of the
eight studies have a cross-sectional design, most of them surveys. Of course, for a study to be
valid, differences in organisational culture should be measured before a merger takes place and
compared with data collected afterwards. However, it is very difficult to gain access to data
during the merger negotiation period, which explains the lack of controlled studies with
pre-tests.
So what is the outcome of the studies we identified? Well, not surprisingly, most studies
conclude that there is a negative association between managers’ perception of cultural
differences and the effectiveness of the post-merger integration. Plainly said, the bigger the
cultural differences going in, the less effective managers believe the post-merger integration is.
Overall, based on the 46 studies, the authors conclude that it is likely that ‘when a merger
requires a high level of integration, cultural differences can create obstacles to reaping
integration benefits’. However, the meta-analysis points out that differences in culture between
merging firms can also be a source of value creation and learning. For example, in mergers that
require a low level of integration, cultural differences are found to be positively associated with
integration benefits. When the dominant organisation also grants the smaller organisation a
considerable amount of autonomy, moderate cultural differences might even function as a
catalyst for value creation.
Integrate evidence with your own expertise, context and stakeholder concerns Your expertise
and experience are important factors in how you apply the evidence you have gathered. With
regard to our example, ask yourself if an integration limited to the back office can be considered
‘low level’. When you consider the body of evidence relevant to your question, ask yourself
whether some facet of the situation might make the scientific findings inapplicable. A lack of
commitment from key stakeholders might make only the lowest level of integration possible.
How relevant is the evidence to what you are seeking to understand or decide? You might find
that the evidence is about product quality, while your concern is cost reduction. Is the evidence
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informative? It depends on your needs with respect to the decision you have to make. What
are your organisation’s potential benefits and harms from the decision? If your circumstances
make an intervention particularly difficult or risky, you might consider a pilot test first. Does
the evidence give you insights into how to run the test? Would the intervention align with
interests of all stakeholders? Depending on the answer, this could be a fatal flaw or simply a
problem to be managed.
The last key step is to monitor the outcome and evaluate the results of your decision.
Facilities within Robert Bosch, the automotive engineering firm, use an electronic posting
system to monitor the outcomes of decisions its teams have made. At the time of the decision,
the team indicates its assumptions, the expected outcome, milestones and enabling conditions.
On a monthly basis, these decision postings are monitored and updated. As we will describe
in the next phase of becoming an EBHR practitioner, evaluating the outcomes and results of
your decisions is inherent to evidence-informed practice. Like the grand rounds that physicians
and medical residents make each day in a teaching hospital, it is the conversation, reflection
and ultimately ‘more critical thinking’ from this process that leads to better use of evidence and
better practice.
Integrating EBHR in your workplace
The practice of EBHR described involves activities individuals can do by themselves with or
without the support of their employers or others in the organisation. However, the next step
is integrating EBHR practices into the broader organisation. Bosses and peers often appreciate
the professionalism and conscientiousness that EBHR practitioners manifest. Yet, often there is
push back. When decisions need to be made quickly or there is politicking and backbiting in
the firm, practitioners report having to choose the situations in which they pursue evidence-
based approaches conscientiously. Exceptions apply when the practitioner is in an executive or
otherwise high-level position.
The cultural meaning and value of evidence (particularly scientific evidence) varies across
firms, with technical firms possibly exhibiting more receptivity. For example, Google and
Microsoft structure their employee selection processes based on evidence, using work samples
such as technical problems and case questions in assessing candidates. Health-care
organisations have begun using management evidence in making decisions in line with the
evidence focus of their key internal workforce, nurses and physicians (Kovner, 2012).
Making evidence-based practice organisational and not just personal involves consciousness-
raising about the existence and utility of scientific research for HR-related and other
management-related decisions. Getting the idea that such evidence exists out to colleagues can
entail conversations and lunchtime meetings where new findings or applications of certain
information are presented and discussed. Use research citations in internal memos to help build
the case for your recommendations, and also raise awareness about the need for and benefits
of using evidence to support one’s case. The idea of a ‘management journal club’ to introduce
new ideas to HR staff and management or discuss the findings of a study that all have read
can work well. Or, ensuring that the first part of regular meetings attends to developing the
staff’s ability to understand and use evidence can in effect ‘sharpen the saw’, that is, enhance
the team’s abilities to practice EBHR. Often, it is best to use a bundle of these practices,
reflecting a higher-level mastery of EBHR concepts.
It is useful to develop routines that incorporate both evidence and reflective decision
making. Key elements in good decision making include features such as ‘needs’, ‘tradeoffs’,
‘intervention features and likely success’ (see Yates, 2003; W.E. Upjohn, for examples). All of
these provide the basis for a set of queries or steps that call attention to important decision
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features. Share this thinking with your colleagues and staff so that it becomes a part of a more
comprehensive approach to managing decisions. A template provides regular ways to ask the
question, ‘Do we have the best evidence for that?’ and other queries that can improve the
quality of decisions. The US Army regularly employs decision tools such as checklists or
flow-diagram models in making substantive decisions. After-Action Reviews are an example of
one type of post-decision routine used by the military as well as consulting teams upon
completion of missions or projects. Related practices include conducting small pilot tests to
gather facts about the outcomes of decisions, keeping decision logs to review outcomes later
and conducting tests of competing assumptions. Research into the value of these routines
indicates that they overcome the cognitive limits of human beings by requiring less recall of key
processes, allowing individuals to be more reflective and creative (Larrick, 2009).
Expanding the organisation’s evidence gathering and research participation can be done in
several ways. First, commissioning systematic reviews of evidence on important practice
questions gets employees involved in the search for and synthesis of information (Tranfield
et al., 2003). When an important decision has lead time, an Evidence Assessment Team can be
assembled whose Internet-savvy members are tasked with finding what the science says about
a practice question or a pending decision. This can be done in-house or involve students from
a local university or research colleagues on faculty. Second, having teams participate in
practice-oriented research evaluating the impact of a change in HR practice helps build critical
thinking about appropriate indicators, information sources and controls to rule out alternative
explanations. This kind of research involvement is the practice-oriented research promoted by
the Center for Effective Organizations in the US (Lawler, 2006) and the Cranfield School in the
UK (Tranfield et al., 2003). Finally, systematically evaluating the outcomes of practice decisions
leads to more accurate feedback and better decisions. Executives who search for disconfirming
evidence tend to make better decisions than their less curious or more defensive counterparts
who do not (Nutt, 1998, 2004). The key idea is to build quality connections between practice
and research.
CONCLUSIONS
The challenges of promoting and practicing EBHR are many. Some of these challenges are
unique to HR and management, and others are inherent in any innovation. Every innovation
winds up being adapted in some way, big or small, in order to make it easier for practitioners
to use (Ansari et al., 2010). The unprecedented challenge of EBHR is that management is not a
‘profession’. Managers have diverse disciplinary backgrounds. HR practitioners have no single
credential that authorises their expertise, and the occupation is open to those with no degree
and those with several. There are no regulatory requirements regarding the education or
knowledge an individual must have to become a manager or an HR professional. The HR
industry associations SHRM (Society for Human Resource Management) and CIPD (Chartered
Institute of Personnel and Development) administer examinations to certify member expertise.
At present, the SHRM exam is not highly evidence-based, instead supporting industry standard
practice. In contrast, CIPD (active in Ireland, Britain and elsewhere in Europe) focuses more on
science-based knowledge and aligns with masters’ level university programmes throughout
Europe.
Many professionals have extensive theoretical knowledge and related skills that they apply
in practice. The issue is how well evidence is represented in the day-to-day practice of HR
professionals. Consider that physicians all over the world have taken the Hippocratic Oath
(excerpted):
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– “I will respect the hard-won scientific gains of those physicians in whose steps I walk, and
gladly share such knowledge as is mine with those who are to follow.
– I will not be ashamed to say ‘I know not’, nor will I fail to call in my colleagues when
the skills of another are needed for a patient’s recovery”.
Evidence-based practice, whether in medicine or business, means doing things right and doing
the right thing. Taking up the practice of EBHR offers practitioners three huge benefits. First,
a science-based practice of management promotes better outcomes from your decisions and
eases their implementation. When it comes to new HR practices and trends, EBHR gives you
tools to help distinguish the wheat from the chaff. Second, developing yourself as an
evidence-based practitioner is empowering. Becoming evidence-informed helps you develop
powerful arguments to convince others that implementing constructive practices in your
organisation is a good idea. Lastly, practicing EBHR ensures ongoing learning throughout your
career, through closer ties with research and researchers and with informed communities of
EBHR practitioners.
Evidence-informed decisions are part and parcel of professional practice. By making
evidence-based decisions, EBHR practitioners develop greater objectivity and balance in
their decisions. At the same time, academic researchers and educators too have an
important responsibility, developing a better understanding of the conditions of practice and
the critical knowledge and skills that support good professional practice. In doing so, all
manifest the responsibility and accountability that is the hallmark of any profession.
Acknowledgements
Cathy Senderling did a superb job in editing this article. The writing of this article was
supported by an H.J. Heinz II Professorship.
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