<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Towards Role-distributed Collaborative Busi- ness Process Elicitation</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Stefan Oppl</string-name>
          <email>stefan.oppl@jku.at</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Department of Business Information Systems - Communications Engineering, Kepler University of Linz</institution>
          ,
          <country country="AT">Austria</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2013</year>
      </pub-date>
      <fpage>33</fpage>
      <lpage>40</lpage>
      <abstract>
        <p>Elicitation of business process knowledge can be facilitated by conceptual models of collaborative work. Models of collaborative business processes with actors participating in different roles are complex constructs with flows of individual activities that are coupled via acts of communication. The process of elicitation in such cases can benefit from separating the modeling process for each role and let actors focus on their own contribution to work and their communication with other roles. This paper identifies concepts for model elicitation and modeling support that enable a modeling process distributed across roles and identify collaboration issues while maintaining one consistent overall model representation. A modeling methodology implementing these concepts is presented and first results of exploratory tests are discussed.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <p>
        In the last years, business process models have become a recognized means for
representation of knowledge about collaborative work in organizations
        <xref ref-type="bibr" rid="ref6">(Gasson, 2005)</xref>
        .
They can be used for communication of information about work and facilitate
elicitation and alignment of business process knowledge
        <xref ref-type="bibr" rid="ref11">(Rittgen, 2007)</xref>
        . The creation
of sound and fully specified business process models, in addition, allows to go
beyond communication support and enables further processing like validation,
optimization and execution of the model
        <xref ref-type="bibr" rid="ref7">(Giaglis, 2001)</xref>
        .
      </p>
      <p>
        Business process models are a representation of organizational work with
activities distributed over different actors. Elicitation of information about work thus
has to involve all relevant stakeholders to form a comprehensive model of the work
process
        <xref ref-type="bibr" rid="ref2">Antunes et al. (2013)</xref>
        . and focus on collecting information from the
actual workers to avoid intermediate expert modelers, who may lack tacit knowledge
about the actual implementation of work (ibid.). Involving the stakeholders during
modeling confronts them with different viewpoints and conceptions of how the
collaboration should be implemented
        <xref ref-type="bibr" rid="ref14">(Stuit et al., 2011)</xref>
        , which need to be aligned in
the process of creating the model.
      </p>
      <p>
        The goal of the research the present work contributes to is to enable stakeholders
to directly create models of business processes without intermediaries and facilitate
the uncovering and eventual resolution of different conceptions of the collaborative
work process. At the same time, the resulting process models should allow for
formal validation and further processing, e.g. in workflow support systems. Similar
objectives have been targeted in earlier research (e.g.
        <xref ref-type="bibr" rid="ref9">Herrmann et al. (2007)</xref>
        or
        <xref ref-type="bibr" rid="ref12">Rittgen (2010)</xref>
        ). The approach presented here follows a different approach by
letting stakeholders focus on solely their individual role in a process (i.e. their
activities and communication with others) in contrast to existing works, where an overall
view on the whole business process is maintained for all stakeholders. Focusing
on the individual contribution to a work process leads to more detailed and refined
models that better reflect the actual perception of their work
        <xref ref-type="bibr" rid="ref3">(Dann, 1992)</xref>
        and also
enables to explicitly identify different conceptions on the need for communication
during work. The objective of the present paper is to explore approaches for model
elicitation that enable capturing process knowledge separately for each involved
role and support the identification of conflicts in the perceived work process and
facilitate the resolution of this issues.
      </p>
      <p>In the next section, the process elicitation approach is described. The
following section outlines the requirements on methodological support during elicitation.
Focussing on methodology, the subsequent section introduces the concept of
roledistributed modeling and describes three different ways of creating role-distributed
models. The final section briefly reports on the first in conducting role-distributed
modeling and outlines the next research steps.</p>
    </sec>
    <sec id="sec-2">
      <title>Elicitation Approach</title>
      <p>
        Depicting collaborative work in business process models requires a clear
understanding of the concepts relevant for modeling. Following the approach of
rolecentric modeling, i.e. describing who is doing what and communicating with whom
in the course of collaborative work, the relevant concepts used in the area of business
process modeling are “actor”, “role”, “activity” and “communication”
        <xref ref-type="bibr" rid="ref13">(Soderstrom
et al., 2002)</xref>
        .
      </p>
      <p>Actors are individuals who are actively participating in a work process.
Activities of different actors hare carried out in parallel without immediate interaction
with others and are coupled via explicit acts of communication (i.e. transferring
work results from one actor to another). Decisions on which activities are carried
out from a number of options are made by the actor based upon the outcome of a
prior activity or the content of incoming communication.</p>
      <p>Business processes are not only valid for one specific set of actors but are
specified in a more abstract way for a set of interacting roles. A role is an area of
responsibility in a business process. Consequently, several actors are able to take a
certain role in a business process. Communication acts are carried out among roles
and interlink the activities carried out by actors acting in a certain role.</p>
      <p>When designing support for eliciting knowledge about work processes, the
different kinds of activities described above have to be considered as fundamental
model elements. We distinguish the following types of activities: (a) individual
activities carried out by an role (including decisions); and (b) communication acts to
link individual activities of different roles: (b1) outgoing communication acts, i.e.
actively sending work results or (b2) incoming communication acts, i.e. receiving
work results.</p>
      <p>
        A modeling language used to support role-distributed business process
modeling has to provide constructs that allow for structuring the model along role
boundaries in order to allow for visualizing a model distributed along the involved roles
and keep the model parts interrelated
        <xref ref-type="bibr" rid="ref1 ref4">(Adamides and Karacapilidis, 2006)</xref>
        .
Modeling languages using the “role”-concept or equally interpretable constructs as the
primary factor of structuring meet this requirement
        <xref ref-type="bibr" rid="ref7">(Giaglis, 2001)</xref>
        . UML Activity
Diagrams
        <xref ref-type="bibr" rid="ref1 ref4">(de Cesare and Serrano, 2006)</xref>
        , BPMN
        <xref ref-type="bibr" rid="ref15">(White, 2004)</xref>
        , or S-BPM
        <xref ref-type="bibr" rid="ref5">Fleischmann et al. (2012)</xref>
        are examples of business process modeling languages that
enable this structuring approach and at the same time have existing tool support for
validation or execution.
      </p>
      <p>
        Separating a process along the involved roles has implications for modeling
support. Modelers need support for interlinking and aligning different contributions
to a business process and ultimately deriving a commonly agreed upon model of the
business process. Each role’s contribution to work is created as a separate part of the
model. As noted above, one role can be taken by several actors in an organization.
Different actors introduce different viewpoints about how one role’s contribution
can be implemented
        <xref ref-type="bibr" rid="ref8">(Herrmann et al., 2002)</xref>
        . These different viewpoints require
alignment to derive one single, commonly agreed upon view on a business process.
Consequently, an elicitation instrument has to support collaborative modeling of
role behavior. All participating actors in this case share the same part of the model.
      </p>
      <p>The role-based process parts are interconnected by communication acts, which
are represented by flows of discrete messages. The following activities can occur
in modeling communication (using the concept “message” to represent transmitted
results of work): (a) send a message to another role; (b) get notified that a message
has been sent to one’s own role; (c) request a message from another role to be able
to proceed with one’s own part of the process; and (d) get notified that another role
requests a message to be able to proceed with its part of the process.</p>
      <p>The first two communication acts (a and b) are sufficient to describe all
communication situations if the business process is modeled in fully sequential manner.
This, however, requires actors to wait for another role to send a message before
they can proceed with modeling their own process part. Communication acts c and
d are introduced to avoid these delays in modeling and to explicitly allow to express
expectations on modeling that might require further discussion. Elicitation support
has to allow the specification of these different types of messages as well as the
resolution of inconsistent communication acts across roles.</p>
    </sec>
    <sec id="sec-3">
      <title>Support for Role-distributed Elicitation</title>
      <p>A role-distributed modeling support concept is presented here to explore
methodological options to meet the requirements described above. A simple modeling
language is used for this purpose, following the minimal requirements on a modeling
language supporting role-distributed modeling as specified above. Three different
types of modeling elements are used:</p>
      <p>Activity modeling elements are used for representing activities carried out by
a role as well as acts for sending and receiving messages. The semantics of the
element (i.e. do something, send, receive) is determined during modeling time.
Message elements are used to either send a message (outgoing message element) to
another role or request a message from another role (incoming message element).
Their respective incoming or outgoing message counterparts are added to the
communication partner’s modeling surface to link. Incoming messages or message
requests, however, do not necessarily need to be processed by the communication
partner immediately. They are pooled in tray areas that visualize all unprocessed
messages (cf. Figure 1).</p>
      <p>The use of the three modeling elements are visualized in Figure 1, which shows
an elicitation process in an intermediate stage for illustration purposes. The depicted
scenario consists of two interacting roles. The behavior of role 1 is modeled by three
actors, two actors provide input for role 2. The modeling surfaces include trays for
coupling to the respective other role on one of their borders.</p>
      <p>Activities (labelled with lower-case letters in Figure 1) are placed on the surface
and are associated following their sequential order. Optional paths are represented
by decision parameters placed next to the according association link (labelled with
upper-case letters in Figure 1).</p>
      <p>The two model parts are interlinked using message elements (labelled with
numbers). Following the coupling concept, message elements always exist in pairs of
two. The semantics of a message element changes depending on wether attached
to an activity element or kept in the tray area: (a) an incoming message attached
to an activity (e.g. activities a, c, or h in Figure 1) represents the act of processing
a received message; (b) an outgoing attached to an activity (e.g. activities e, i, or
j in Figure 1) represents the act of sending a message to a communication partner;
(c) an incoming message placed in an tray area represents a message that is offered
by a communication partner, but has not yet been processed; and (d) an outgoing
message placed in an tray area represents a message that is expected by a
communication partner, but has not yet been created and sent.</p>
      <p>The messages kept in the tray areas make mutual expectations and potential
communication flaws explicitly visible. Requested messages or unused incoming
messages that remain in one of the trays always point at a mismatch beween the
expectations and the current behavior of the communication partners. During
elicitation, this visualization of communication problems triggers negotiation and
alignment activities that allow for the specification of a sound overall model.</p>
      <p>Three different procedural approaches for distributed model elicitation can be
identified following the concept of behavior and communication specification
described above. They differ in the point in time when message specification happens.
In ex-ante communication negotiation, all messages are specified collaboratively by
the involved actors before the roles’ behaviors are described. The messages are
initially placed in the tray areas for each role and a then used during behavior
modeling. In ex-post communication negotiation, each role’s behavior including all
outgoing and required incoming messages are modeled separately. In a consolidation
step, the communication among the roles is then aligned by mutually matching
requested and sent messages. In ongoing communication negotiation, messages are
put into the trays of communication partners immediately as they are specified
during behavior modeling. Inconsistencies or different understandings are discussed
immediately.</p>
      <p>All three approaches stress different aspects of the modeling process and appear
to be suitable for different modeling purposes. Ex-ante communication
negotiation creates an common overall picture of the work process to start with and leaves
identification of communication problems to the subsequent distributed modeling
phase. Uncovered communication problems then require an additional round of
alignment. Ex-post communication negotiation by contrast forces modelers to
initially only focus on their own contribution to the work process. The identification
of inconsistent communication acts is most likely here. The alignment of
communications acts could lead to the need for a subsequent revision of roles’ behavior
models, if fundamental inconsistencies, e.g. conflicting communication sequences,
are identified. Ongoing communication negotiation avoids the need for
fundamental revisions of either behavior models or communication acts, as both are specified
simultaneously. Different viewpoints are immediately visible and can be discussed
ad-hoc. This immediacy, at the same time, can be challenging for modelers, as they
are continuously confronted with incoming messages or message requests while at
the same time describing their own behavior.</p>
      <p>The three approaches are described here without any preference and are
currently subject to closer examination with regards to their practical applicability. The
first experiences gained from these explorations are described in the next section.</p>
    </sec>
    <sec id="sec-4">
      <title>Initial Experiences and Future Work</title>
      <p>The modeling concept so far has been deployed in all three methodological
variations in two different practical settings. In all cases, the models were built using
paper-based modeling cards without any technical modeling support. In case A,
the process of assembling a pneumatic cylinder was subject of elicitation. The
actors were 8 students (6 male, 2 female) of business information systems, who were
trained in the production process for 2.5 days as part of a practical course. All
students already had extensive experiences in business process modeling. The process
involved four different roles, of which each was taken be two students. All three
methodological approaches were conducted using three different but equally
complex variations of the production process. Case B was taken from healthcare sector,
where 6 healthcare professionals (4 female, 2 male) modeled the admission process
of an elderly client to long-term care (involving 4 roles in total). None of them had
prior experiences with modeling, neither were they confronted with explicit process
models in their professional life. All three methodological approaches were used in
different steps of the elicitation process.</p>
      <p>Overall, all participants in either case were able to create correct models (in
terms of how the modeling elements were used and linked to other model parts).
Differences, however, occurred during the modeling process, which can be
attributed to the different backgrounds and prior experiences in modeling. Modelers
with no experiences in modeling (in case B) repeatedly showed problems in
understanding or correctly using the message elements. They were not able to
consistently distinguish between the act of sending or receiving a message and the
message itself and consequently had problems in assigning designators to messages.
This problem was less evident in ex-ante communication negotiation, where people
were not introduced to sending and receiving activities. The misconceptions could
largely be overcome by providing examples of correctly designated messages.</p>
      <p>The unexperienced modelers in case B preferred ex-post communication
negotiation over the other two variants. They were unable to handle the complexity of the
ongoing message negotiation setting and did not manage to incorporate the
incoming messages while modeling their own role’s behavior. Ex-ante communication
specification was perceived to cause superficial effort, as they felt they had to go
through their work process twice to first identify their communication and then to
actually create the model. Two modelers also felt constrained by the already
existing messages in modeling their role’s behavior. The ability to uncover inconsistent
communication expectations in ex-post communication negotiation was repeatedly
noted as the most useful aspect of the whole modeling session.</p>
      <p>Preferences were different for the experienced modelers in case A. They
preferred ongoing message negotiation as it was perceived most efficient and being
the fastest way to reach a consistent overall model. Ex-ante message negotiation
was considered a well suited approach and hardly led to the need for revisions after
behavior modeling. It was generally preferred over ex-post message negotiation,
which was considered to be cumbersome and hardly providing any added value.</p>
      <p>As no clear preference for any methodological approach can be identified,
future research will further examine the effects of the different points in time during
modeling when communication acts are made explicit. The next steps are to resolve
issues in understanding the semantics of the modeling elements — in particular the
message element — for inexperienced modelers. In a further step, advantages and
disadvantages of the different methodological approaches for different
combinations of modeling goals, and prior modeling experiences of the participants will be
examined. A more elaborate empirical setting will be used to overcome the
limitations of the explorations described above, which mainly suffer from limited
comparability and observably different complexity of the modeling subjects (with the
production process being more accurately describable than the healthcare process).</p>
      <p>
        A second strain of research and development currently worked on is tool
support. Based upon an existing interactive tabletop modeling environment
        <xref ref-type="bibr" rid="ref10">(Oppl and
Stary, 2011)</xref>
        , means to support a technically augmented distributed modeling
workflow, including the currently omitted requirements on communication support, are
currently implemented. Additionally, a mapping between the the modeling
language used here and S-BPM
        <xref ref-type="bibr" rid="ref5">(Fleischmann et al., 2012)</xref>
        is currently worked on,
which will allow to validate and execute the created models. This will enable to
identify model errors that can remain undiscovered due to the distributed nature of
model elicitation (such as dead-locks by mutually waiting for messages to be sent).
      </p>
      <p>Summarizing, the approach presented here is a first step towards business
process model elicitation that explicitly uncovers existing or potential collaboration
issues in organizational work processes. The modeling approach enables to
independently create models for each involved role and aligning the communication
acts among these roles in the course of the modeling act. The resulting models
can directly be mapped to modeling languages that are supported by BPM tools
for validation or workflow support. While the initial experiences with applying the
modeling approach in practical settings are promising, future research has to adress
methodological considerations to facilitate model alignment across roles as well as
technical means of modeling support.</p>
    </sec>
    <sec id="sec-5">
      <title>Acknowledgments</title>
      <p>The research leading to these results has received funding from the European Commission within
the Marie Curie Industry and Academia Partnerships &amp; Pathways (IAPP) programme under grant
agreement no 286083 (IANES).</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          <string-name>
            <surname>Adamides</surname>
            ,
            <given-names>E. D.</given-names>
          </string-name>
          and
          <string-name>
            <given-names>N.</given-names>
            <surname>Karacapilidis</surname>
          </string-name>
          (
          <year>2006</year>
          )
          <article-title>: 'A knowledge centred framework for collaborative business process modelling'</article-title>
          .
          <source>Business Process Management Journal</source>
          , vol.
          <volume>12</volume>
          , no.
          <issue>5</issue>
          , pp.
          <fpage>557</fpage>
          -
          <lpage>575</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          <string-name>
            <surname>Antunes</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          , D. Simo˜es, L. Carric¸o, and
          <string-name>
            <given-names>J. A.</given-names>
            <surname>Pino</surname>
          </string-name>
          (
          <year>2013</year>
          )
          <article-title>: 'An end-user approach to business process modeling'</article-title>
          .
          <source>Journal of Network and Computer Applications.</source>
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          <string-name>
            <surname>Dann</surname>
            ,
            <given-names>H. D.</given-names>
          </string-name>
          (
          <year>1992</year>
          )
          <article-title>: 'Variation von Lege-Strukturen zur Wissensrepra¨sentation'</article-title>
          . In: B.
          <string-name>
            <surname>Scheele</surname>
          </string-name>
          (ed.):
          <article-title>Struktur-Lege-Verfahren als Dialog-Konsens-Methodik</article-title>
          . Aschendorff, pp.
          <fpage>2</fpage>
          -
          <lpage>41</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          <string-name>
            <surname>de Cesare</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          and
          <string-name>
            <given-names>A</given-names>
            .
            <surname>Serrano</surname>
          </string-name>
          (
          <year>2006</year>
          )
          <article-title>: 'Collaborative Modeling Using UML and Business Process Simulation'</article-title>
          .
          <source>In: Proceedings of HICSS'06</source>
          . IEEE Press.
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          <string-name>
            <surname>Fleischmann</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <given-names>W.</given-names>
            <surname>Schmidt</surname>
          </string-name>
          ,
          <string-name>
            <given-names>C.</given-names>
            <surname>Stary</surname>
          </string-name>
          ,
          <string-name>
            <given-names>S.</given-names>
            <surname>Obermeier</surname>
          </string-name>
          , and E. Bo¨rger (
          <year>2012</year>
          ):
          <article-title>Subject-Oriented Business Process Management</article-title>
          . Springer.
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          <string-name>
            <surname>Gasson</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          (
          <year>2005</year>
          )
          <article-title>: 'The Dynamics of Sensemaking, Knowledge, and Expertise in Collaborative, Boundary-Spanning Design'</article-title>
          .
          <source>Journal of Computer-Mediated Communication</source>
          , vol.
          <volume>10</volume>
          , no.
          <issue>4</issue>
          , pp.
          <fpage>00</fpage>
          -
          <lpage>00</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          <string-name>
            <surname>Giaglis</surname>
            ,
            <given-names>G. M. R.</given-names>
          </string-name>
          (
          <year>2001</year>
          )
          <article-title>: 'A Taxonomy of Business Process Modeling and Information Systems Modeling Techniques'</article-title>
          .
          <source>International Journal of Flexible Manufacturing Systems</source>
          , vol.
          <volume>13</volume>
          , no.
          <issue>2</issue>
          , pp.
          <fpage>209</fpage>
          -
          <lpage>228</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          <string-name>
            <surname>Herrmann</surname>
            ,
            <given-names>T.</given-names>
          </string-name>
          ,
          <string-name>
            <given-names>M.</given-names>
            <surname>Hoffmann</surname>
          </string-name>
          ,
          <string-name>
            <surname>G.</surname>
          </string-name>
          <article-title>Kunau, and</article-title>
          K. U.
          <string-name>
            <surname>Loser</surname>
          </string-name>
          (
          <year>2002</year>
          )
          <article-title>: 'Modelling Cooperative Work: Chances and Risks of Structuring'</article-title>
          . In:
          <article-title>Cooperative Systems Design, A Challenge of the Mobility Age</article-title>
          .
          <source>Proceedings of COOP 2002</source>
          . pp.
          <fpage>53</fpage>
          -
          <lpage>70</lpage>
          , IOS press.
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          <string-name>
            <surname>Herrmann</surname>
            ,
            <given-names>T.</given-names>
          </string-name>
          ,
          <string-name>
            <given-names>K. U.</given-names>
            <surname>Loser</surname>
          </string-name>
          ,
          <string-name>
            <surname>and I. Jahnke</surname>
          </string-name>
          (
          <year>2007</year>
          )
          <article-title>: 'Sociotechnical walkthrough: a means for knowledge integration'. The Learning Organization</article-title>
          , vol.
          <volume>14</volume>
          , no.
          <issue>5</issue>
          , pp.
          <fpage>450</fpage>
          -
          <lpage>464</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          <string-name>
            <surname>Oppl</surname>
            , S. and
            <given-names>C.</given-names>
          </string-name>
          <string-name>
            <surname>Stary</surname>
          </string-name>
          (
          <year>2011</year>
          )
          <article-title>: 'Effects of a Tabletop Interface on the Co-Construction of Concept Maps'</article-title>
          .
          <source>In: Proceedings of the 13th IFIP TC13 Conference on Human-Computer Interaction (INTERACT</source>
          <year>2011</year>
          ). pp.
          <fpage>443</fpage>
          -
          <lpage>460</lpage>
          , Springer.
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          <string-name>
            <surname>Rittgen</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          (
          <year>2007</year>
          )
          <article-title>: 'Negotiating Models'</article-title>
          . In: J.
          <string-name>
            <surname>Krogstie</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          <string-name>
            <surname>Opdahl</surname>
          </string-name>
          , and G. Sindre (eds.):
          <source>Advanced Information Systems Engineering</source>
          . Springer Berlin / Heidelberg, pp.
          <fpage>561</fpage>
          -
          <lpage>573</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          <string-name>
            <surname>Rittgen</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          (
          <year>2010</year>
          )
          <article-title>: 'Success factors of e-collaboration in business process modeling'</article-title>
          .
          <source>In: Advanced Information Systems Engineering</source>
          . pp.
          <fpage>24</fpage>
          -
          <lpage>37</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          <string-name>
            <surname>Soderstrom</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          ,
          <string-name>
            <given-names>B.</given-names>
            <surname>Andersson</surname>
          </string-name>
          ,
          <string-name>
            <given-names>P.</given-names>
            <surname>Johannesson</surname>
          </string-name>
          , E. Perjons, and B.
          <string-name>
            <surname>Wangler</surname>
          </string-name>
          (
          <year>2002</year>
          )
          <article-title>: 'Towards a framework for comparing process modelling languages'</article-title>
          .
          <source>In: Proceedings of the 14th International Conference on Advanced Information Systems Engineering</source>
          , CAiSE. pp.
          <fpage>600</fpage>
          -
          <lpage>611</lpage>
          , Springer.
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          <string-name>
            <surname>Stuit</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <given-names>H.</given-names>
            <surname>Wortmann</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.</given-names>
            <surname>Szirbik</surname>
          </string-name>
          , and J.
          <string-name>
            <surname>Roodenburg</surname>
          </string-name>
          (
          <year>2011</year>
          )
          <article-title>: 'Multi-view interaction modelling of human collaboration processes: a business process study of head and neck cancer care in a Dutch academic hospital'</article-title>
          .
          <source>Journal of Biomedical Informatics.</source>
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          <string-name>
            <surname>White</surname>
            ,
            <given-names>S. A.</given-names>
          </string-name>
          (
          <year>2004</year>
          )
          <article-title>: 'Introduction to BPMN'</article-title>
          .
          <source>BPTrends.</source>
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>