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      <title-group>
        <article-title>Support of Decision Tasks in Business Process Improvement</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Ekaterina Bazhenova</string-name>
          <email>ekaterina.bazhenova@hpi.uni-potsdam.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Hasso Plattner Institute at the University of Potsdam</institution>
        </aff>
      </contrib-group>
      <fpage>21</fpage>
      <lpage>26</lpage>
      <abstract>
        <p>The vigorous technological development of the world is a key driver of the continuous improvement of business processes at the enterprise of today. For staying competitive, the companies have to be able to adapt to changes of business environment quickly and efectively. The conventional approaches to business process reengineering are based mostly on activity flows, and mostly not considering data of business processes. In the paper we present a hybrid approach to business process improvement, in which both activities and data of business processes are taken into account. As well, we introduce a concept of the decision task as a special kind of the business process and propose an approach for its improvement based on decision theory, which grasps all the stages of the business process lifecycle.</p>
      </abstract>
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  <body>
    <sec id="sec-1">
      <title>Motivation</title>
      <p>Business process management has proved itself as a sustainable management
approach and a competitive advantage of the enterprises where it is used. However,
such factors as rapidly emerging technologies and instability of the market-driven
economies, push enterprises to continuously rethink the ways of running their
businesses. For facing such challenges, the industry needs eficient methodologies
of business process improvement, which will provide the companies the ways to
efectively and quickly apply the needed changes.</p>
      <p>
        The interest to business process reengineering is reflected notably in a large
variety of scientific literature where the fundamental approaches to business
process redesign are presented [
        <xref ref-type="bibr" rid="ref1 ref5">5,1</xref>
        ]. The literature analysis shows that the most
existing improvement techniques are bound with the activity flows and mostly
do not take the business process data into account. However, ”process and data
are equally important for business process management” [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ], and taking the
business data into consideration will complement the approaches to business
process improvement.
      </p>
      <p>The pursuit of ways of efective business process transformation shows that
similar business processes often have diferent execution outcomes as a result of
uncertainties of the business environment. For example, the business process of
time management at the enterprise can change to a great extent depending on the
information about the preferences of the customer for the scheduling of meetings.
In reality, making a choice under uncertainty can result in unnecessary time
and money investments and non-optimal business process management, and the
companies need efective ways of dealing with such challenges. This has become
a premise for us to apply the decision theory for business process management as
a mechanism for dealing with processes of making decisions under uncertainty.</p>
      <p>More specifically, we present the generic scheme of business process
reengineering and we introduce the decision tasks as a special kind of business processes
by mapping the objects of the decision theory and the business processes.
Furthermore, we provide the approach of improvement of the decision tasks at all
the stages of the business process lifecycle, by defining the payof function of the
process and proposing the outlook for its optimization.
2</p>
    </sec>
    <sec id="sec-2">
      <title>Business Process Improvement</title>
      <p>
        The business process lifecycle traditionally starts with the design and analysis
phase, during which the business processes are identified and reviewed, mostly at
the modeling level [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. In Figure 1 we present our approach to business process
improvement, which addresses this phase.
      </p>
      <p>As one can see from the figure, the object being exposed to redesign is a
process model. It can be chosen, for example, by the business analyst which
supposes that the current process model is not eficient. The first step of the
improvement approach is reviewing if the initial process model P contains a
pattern for redesign, which could be be potentially improved by a transformation
T , yielding as an outcome an improved process model P ′. The logic and structure
of the pattern and the transformation approach are provided in such a way that
it refines the business process, which we will present in more details later in this
section. For testing if the improved process model P ′ is more eficient than the
initial process model P , the simulation phase is needed. For that, the key process
indicators Kj, such as costs and times, should be introduced. The approach to
simulation of the redesigned process model is planned for future work and the
details of it are not discussed in the current paper. The whole improvement
process can be repeated in case the changes are needed again, which is reflected
in Figure 1 by the continuous loop sign.</p>
      <p>
        Another notion which should be considered at all phases of the business
process lifecycle, is the data which is inseparably associated with the business
processes. Conventionally, the data in the enterprises is being stored in the
corporate databases or data warehouses of ERP-systems [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. In such approaches
the optimization of the data usage is being reached by migration of data from
diferent sources of the enterprise into a single storage which comprises of several
stages such as data extraction, cleansing, transforming, indexing and loading.
This migration is a technical processing of data based on the set of properties
that guarantee that database transactions are processed reliably. However, such
processing does not take into account the business context of the processes which
are bound with the data objects. In our approach we are looking at the contextual
dependencies of data objects within the business process and the ways to optimize
them.
3
      </p>
    </sec>
    <sec id="sec-3">
      <title>Decision Tasks</title>
      <p>As it was already mentioned in the introduction to the paper, many business
processes face the uncertainties of the business environment and the decision
theory is a tool which is focused on dealing with such challenges. For instance, in
the business process of scheduling the time of the meeting the participants might
not know the preferences of the others so that they have to make the choice
under uncertainty which can result in the longer time of the decision process.</p>
      <p>
        For the sake of approaching the aforementioned challenge, the particular
kind of the business processes, which incorporate decision making, should be
introduced. With regard to the foundations of decision theory [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ], we present
here some of the notions which are relevant for business process management:
1. The core setting of the decision theory is an occurrence of a subject or a
decision maker whose goal is to make an optimal choice between the set of
alternatives. For example, in the business process scenario of scheduling the
meeting, the participants of the process choose between several alternative
dates, proposed by the organizer.
2. One of the main assumptions of the decision theory is that any realization of
the alternatives resulting from a decision can be compared. Another important
assumption is that the decision maker is making choice in a rational way. Both
these assumptions are valid for business process management as its principle
is to avoid ambiguities at the modeling level and ensuing consequences at
the execution level which might result in non-optimal usage of resources.
      </p>
      <p>Decision Task  </p>
      <p>The notions presented above became a premise for setting the special kind
of business process models to which we refer as the decision tasks. The generic
structure of the decision task is shown in Figure 2. Here the set of alternatives is
Alternatives</p>
      <p>Business Activities</p>
      <p>Decision
presented as the collection input data object and the final decision is presented as
the collection output data object. An important assumption with the regard to
the decision tasks is that the data presented by the output data object ”Decision”
is a subset of the input data object ”Alternatives”. More specifically, that could
be represented as following: the values of data attributes of the output data
object are subset of the data attributes of the values of the input data object.
Whether this subset of the data object ”Decision” consists of one or several data
attributes or it contains only an empty element, depends on the context of the
business process. For example, the owner of the business process of scheduling
of meetings at the enterprise can define whether it is acceptable to schedule
several dates of the series of meetings or exactly one date of a meeting should be
identified. Another assumption for the introduction of the decision tasks is that
the decision makers exist and they are represented in the process model by the
resources bound to the decision task.</p>
      <p>Now that the definition of the decision task was introduced, the approach for
improvement of such a process model can be suggested. Below we present the
approach for business process improvement which consists of three consequent
phases corresponding to the stages of the aforementioned scheme (see Figure 1):
1.1 Analysis of Business Process Model.</p>
      <p>The business process improvement scheme can be launched when the business
analyst of the enterprise decides that the current business process is not eficient
according to some indicators.</p>
      <p>Example. Organization of the scheduling of meetings at the enterprise is
being done by a secretary which writes a personal e-mail to every participant
of the meeting, collects the responses, chooses the date and sends it back to
participants for confirmation. If less than required minimum of people confirm
their participation, the process repeats. The structure of the process model
is non-optimal and its execution produces many data artifacts (e-mails).The
business analyst is aware about existence of the scheduling software and he wants
to explore if the business process model can be redesigned.</p>
      <p>1.2 Detection of Decision Task. As the next step in the first stage in
the business process improvement scheme, the identification of the pattern for
redesign is needed. More specifically, it should be identified if the current process
model P represents a decision task with the structure presented in Figure 2.</p>
      <p>Example. The business process of organizing the scheduling of meetings at
the enterprise represents the decision task. Here the set of alternatives is the set
of dates to be chosen and the participants are decision makers which choose the
ifnal date. If their preferences are collected by the secretary, they do not know
about the choices of each other, so they make their choice under uncertainty.</p>
      <p>2.1 Definition of Payof Function . The improvement of the internal
structure of ”Business Activities” of the decision task can be done by the application
of the decision theory methods. That could be done by investigating the data
bound to the decision task, more specifically, the attributes of data objects. The
persons or other resources, involved into the execution of the decision task, can be
viewed as decision makers. And, according to the assumption of rational behavior
of decision makers, their goal is to maximize the expected payof of the decision
task. Therefore, the assigned goal of this stage is to set the payof function of the
decision task.</p>
      <p>Example. The payof function in the business process of scheduling of meeting
could be the time saved by participants to agree on the final date of the meeting .</p>
      <p>2.2 Optimization of Decision Task. In such a way, we reduced the
challenge of business process improvement to the task of maximization of the expected
payof of the decision task. The approach for solving this challenge, or, more
specifically, the transformation T , could be done, for example, by granting access
for the decision makers to the data produced by each participant. Then the
decision makers will be able to estimate the payof of their choices more precisely
which might result in reducing the time spent on the decision making process
and, consequently, in the time spent on the execution of the whole scheduling
process. The outcome of the transformation T of the initial process model P is
the improved process model P ′.</p>
      <p>Example. In case of choosing the date for the meeting, a dedicated web-page
containing the table with all the alternative dates can be created which can be
viewed by all the decision makers. That will enable the participants to make their
decisions in accordance to the preferences of each other.</p>
      <p>3 Simulation of Redesigned Process Model. In order to assess the
eficiency of the transformation T , we plan to develop a set of indicators Kj and
to conduct a simulation of the process model for estimating the values of these
indicators. This is the final step of the improvement scheme, and, depending
on the results of the simulation, the conclusion is made, either to accept the
improved process model P ′ and start using it at the enterprise, or to conduct
further improvements of the process model. Such a decision can be done, for
example, by a business analyst or higher management.</p>
    </sec>
    <sec id="sec-4">
      <title>Conclusion</title>
      <p>In the presented paper we provided a hybrid approach for business process
improvement, which consists in identifying a specific pattern in the business
process model and in transforming this model in order to increase its eficiency.
Also we presented several notions from the decision theory and showed how they
could be correlated with the business process management. As a pattern for
redesign, we introduced a special business process, the decision task, and showed
that the internal structure of the decision task can be improved by maximization
of the payof of the task for the business process participants.</p>
      <p>However, the presentation of the decision tasks and the transformation rule is
not yet strictly formalized and should be done in the future. A notable limitation
of our approach is that our investigation of the possibilities of the decision tasks
improvement is bound to the dependencies between data attributes of the data
objects of the processes at the modeling level. Nevertheless, in future we plan to
enhance the approach with the execution semantics of the data objects.</p>
      <p>As well, an extended formalization of the binding of the decision theory and
business process management is planned which will allow to apply our approach
to a broader class of business processes incorporating the decision making. For
instance, in the current paper we referenced the business process of decision
making in the business process of scheduling of the meetings, but it could be
extended to the integrated time management at the enterprise. As another
example of the decision tasks can serve the business process of the quality control
of the product, where the evaluation is made independently by experts according
to the predefined scale and the experts have to come to a compromise product
assessment.</p>
    </sec>
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