This article addresses many of the performance indicators companies use and how they might utilize them to see if their strategy is on track. As you read, consider the categories of performance measures such as financial/non-financial and strategic/operational.
Methods
We conducted a structured literature review (SLR) to
find papers dealing with performance measurement in the business process
literature. SLR can be defined as "a means of evaluating and
interpreting all available research relevant to a particular research
question, topic area, or phenomenon of interest". An SLR is a meta study that identifies and summarizes evidence from
earlier research or a way to address a potentially
large number of identified sources based on a strict protocol used to
search and appraise the literature.
It is systematic in the sense of a systematic approach to finding
relevant papers and a systematic way of classifying the papers. Hence,
according to Boellt and Cecez-Kecmanovic, SLR as a specific type
of literature review can only be used when two conditions are met.
First, the topic should be well-specified and closely formulated (i.e.,
limited to performance measurement in the context of business processes)
to potentially identify all relevant literature based on inclusion and
exclusion criteria. Secondly, the research questions should be answered
by extracting and aggregating evidence from the identified literature
based on a high-level summary or bibliometric-type of content analysis.
Furthermore, King and He also refer to a statistical analysis of
existing literature.
Informed by the established guidelines
proposed by Kitchenham, we undertook the review in distinct
stages: (1) formulating the research questions and the search strategy,
(2) filtering and extracting data based on inclusion and exclusion
criteria, and (3) synthesizing the findings. The remainder of this
section describes the details of each stage.
Formulating the research questions and search strategy
A comprehensive and unbiased search is one of the fundamental factors that distinguish a systematic review from a traditional literature review. For this purpose, a systematic search begins with the identification of keywords and search terms that are derived from the research questions. Based on the research questions stipulated in the introduction, the SLR protocol for our study was defined, as shown in Table 2.
Table 2 The structured literature review protocol for this study, based on Boellt and Cecez-Kecmanovic
Protocol elements | Translation to this study |
---|---|
1/Research question |
RQ1. What is the current state of the research on business process performance measurement? RQ2. Which indicators, measures and metrics are used or mentioned in the current literature related to business process performance? |
2/Sources searched | Web of science database (until November 2015) |
3/Search terms | Combining "business process*" and "performance indicator*"/"performance metric*"/"performance measur*" |
4/Search strategy | Different search queries, with keywords in topic and title (Table 3) |
5/Inclusion criteria |
Include only papers containing a combination of search terms, defined in the search queries Include only papers indexed in the Web of Science from all periods until November 2015 Include only papers written in English |
6/Exclusion criteria | Exclude unrelated papers, i.e., if they do not explicitly claim addressing the measurement of business process performance |
7/Quality criteria | Only peer-reviewed papers are indexed in the web of science database |
Table 3 shows the degree to which the
initial sample sizes varied, with 433 resulting papers for the most
permissive search query (TOxTO) and 19 papers for the most restrictive
one (TIxTI). The next stage started with the most permissive search
query in an effort to select and assess as many relevant publications as
possible.
Table 3 The number of papers in the web of science per search query (until November 2015)
(1) "Performance indicator*" | (2) "Performance metric*" | (3) "Performance measur*" | TOTAL | |
---|---|---|---|---|
Column keywords in TO | ||||
BP-TO | 153 | 30 | 250 | 433 |
BP-TI | 31 | 4 | 64 | 99 |
Column keywords in TI | ||||
BP-TO | 19 | 2 | 62 | 83 |
BP-TI | 5 | 0 | 14 | 19 |
Filtering and extracting data
Figure 3 summarizes the procedure for searching and selecting the literature to be reviewed. The list of papers found in the previous stage was filtered by deleting 35 duplicates, and the remaining 398 papers were further narrowed to 153 papers by evaluating their title and abstract. After screening the body of the texts, 76 full-text papers were considered relevant for our scope and constituted the final sample.
Fig. 3 Exclusion of papers and number of primary studies

More
specifically, studies were excluded if their main focus was not
business process performance measurement or if they did not refer to
indicators, measures or metrics for business performance. The inclusion
of studies was not restricted to any specific type of intervention or
outcome. The SLR thus included all types of research studies that were
written in English and published up to and including November 2015.
Furthermore, publication by peer-reviewed publication outlets (e.g.,
journals or conference proceedings) was considered as a quality
criterion to ensure the academic level of the research papers.
Synthesizing the findings
The
analysis of the final sample was performed by means of narrative and
descriptive analysis techniques. For RQ1, the 76 papers were analyzed on
the basis of bibliometric data (e.g., publication type, publication
year, geography) and general performance measurement issues by paying
attention to the methodology and focus of the study.
For RQ2, all the selected papers were
screened to identify concrete performance indicators in order to
generate a comprehensive list or checklist. The latter was done in
different phases. In the first phase, the structured literature review
allowed us to analyze which performance indicators are mainly used in
the process literature and how they are concretized (e.g., in a question
or mathematical formulation), resulting in an unstructured list of
potential performance indicators. The indicators were also synthesized
by combining similar indicators and rephrasing them into more generic
terms.
The next phase was a comparative study to categorize the
output of phase 1 into the commonly used measurement models in the
performance literature. For the
purpose of this study, we specifically looked for those organizational
performance models, mentioned in "Theoretical background" section, that
are cited the most and that suggest categories, dimensions or
performance perspectives that can be re-used. Since the BSC is the most commonly used of these
measurement models, we began with the BSC as the overall framework to
categorize the observed indicators related to business (process)
performance, supplemented with an established view on process
performance from the process literature.
Subsequently, a structured list of potential performance indicators was
obtained.
In the third and final phase, an evaluation study was
performed to validate whether the output of phase 2 is sufficiently
comprehensive according to other performance measurement models, i.e.,
not included in our sample and differing from the most commonly used
performance measurement models. Therefore, we investigated the degree to
which our structured list covers the items in two variants or
concretizations of the BSC. Hence, a validation by other theoretical
models is provided. We note that a validation by subject-matter experts
is out of scope for a structured literature review but relates to an
opportunity for further research.