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Investigating Process Elicitation Workshops using Action Research

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<strong>Investigating</strong> <strong>Process</strong> <strong>Elicitation</strong> <strong>Workshops</strong><br />

<strong>using</strong> <strong>Action</strong> <strong>Research</strong><br />

Alexander Luebbe and Mathias Weske<br />

Hasso-Plattner-Instittute, 14482 Potsdam, Germany,<br />

alexander.luebbe,mathias.weske@hpi.uni-potsdam.de,<br />

WWW home page: http://bpt.hpi.uni-potsdam.de<br />

Abstract. We develop a workshop technique for process co-creation<br />

with domain experts called tangible business process modeling. After assessing<br />

the idea in a laboratory experiment, we started workshops with<br />

professionals in the field. This paper illustrates how we used action research<br />

in two subsequent studies in which groups modeled BPMN and<br />

EPCs <strong>using</strong> tangible tiles on a table.<br />

The practical result is best practice guidance for moderators applying<br />

tangible process modeling. Our research interest is to investigate the<br />

differences between tangible modeling and other techniques. In the lab<br />

experiment we found that tangible modeling supports user engagement<br />

and validated results. In the field, we compare the workshop performance<br />

and outcome to software-supported workshops. We found tangible modeling<br />

to be competitive in speed and result.<br />

Key words: business process elicitation, workshops, process modeling,<br />

tangible business process modeling, field research, action research<br />

1 Introduction and Background<br />

Business process modeling is the act of capturing domain knowledge about work<br />

activities, their interdependencies, and responsibilities, in a graphical representation.<br />

<strong>Process</strong> models are used to analyze current business operations, communicate<br />

requirements for IT systems, or discuss alternatives to the current way of<br />

doing business. Typically, domain experts share their knowledge with a process<br />

analyst in interviews or workshops. The model is either created after the interview<br />

or in parallel during the workshop by a dedicated tool expert [1]. Domain<br />

experts review the results but do not actively participate in process model creation.<br />

This practice detaches the domain expert from the process model with<br />

problems such as misunderstandings and limited commitment [2].<br />

We have created a modeling approach to engage the domain expert with the<br />

act of process modeling. The approach covers a toolkit and a method to apply it.<br />

In the first phase we developed the toolkit as a set of transcribable plastic tiles<br />

to be used on a table for process modeling [3], see Fig. 1. In the second phase<br />

we assessed the effect of modeling with tangible tiles by comparing individuals<br />

in interview situations with tangible process modeling sessions. Subjects were


2 Alexander Luebbe, Mathias Weske<br />

t.BPM Introduction<br />

more engaged with the task. Moreover, they reviewed and corrected the model<br />

more often leading to more validated results [4].<br />

Fig. 1. tangible modeling tool set: transcribable plastic tiles reflecting the BPMN<br />

iconography<br />

The lab experiment showed positive effects of tangible modeling on individuals.<br />

The current research interest is the efficiency of group modeling workshops<br />

in reality. We aim to assess the applicability of tangible modeling in real environments<br />

and compare tangible modeling workshops with other techniques in<br />

place today.<br />

The practical goal is to derive guidance for professionals who want to leverage<br />

the theoretical potential [4] of tangible business process modeling in their<br />

workshops, namely stronger engagement and validated results. Since practical<br />

guidance can only be derived from practice, we choose action research as a<br />

method to guide our cooperation with professionals in the field.<br />

In Section 2 we introduce the idea of action research. Afterwards, we apply<br />

action research in Section 3 and Section 4 in two subsequent iterations and<br />

discuss our learnings in Section 5. Finally, we look at related empirical research<br />

in Section 6 and conclude the paper in Section 7.<br />

2 <strong>Action</strong> research – an iterative learning cycle<br />

<strong>Action</strong> research (AR) is a class of research approaches in which researchers collaborate<br />

with practitioners to act in or on a social system [5]. The goal is to<br />

solve practical problems and generate scientific knowledge. <strong>Action</strong> research assumes<br />

that complex social problems cannot be reduced to meaningful controllable<br />

studies. They need to be investigated within the context in which they<br />

appear. Therefore the system is studied, changed, and the effect of change is<br />

studied again. It is an iterative learning cycle. We adopt a five stage process<br />

proposed by e.g. Baskerville [6], see Figure 2. We also follow the principles for<br />

AR defined by Davison et al. [7] such as multiple iterations, the principle of<br />

theory, and learning through reflection.<br />

In the diagnosing step the context and problem statement are described. In<br />

action planning the desired future state and proposed changes are introduced


<strong>Investigating</strong> process elicitation workshops 3<br />

diagnosing<br />

specify learning<br />

action research<br />

cycle<br />

action planning<br />

evaluating<br />

taking action<br />

Fig. 2. <strong>Action</strong> research cycle used to guide the field studies in this paper<br />

based on theoretical background. The first two steps are carried out in close<br />

collaboration with practitioners. In taking action the practitioners act alone<br />

while the researchers observe and collect data for the evaluating phase. This<br />

phase analyses whether the proposed changes realized the intended effect and<br />

whether the practitioners’ problems were solved. The results are used to specify<br />

learning as more general knowledge, practically and scientifically. In this last<br />

step, we also develop research questions for the next iteration.<br />

3 BPMN process modeling workshop with clinical staff<br />

In mid 2009, a consultant used the tangible toolkit (see Fig. 1) to capture clinical<br />

paths in a hospital with medical staff. A clinical path is a treatment process for<br />

a class of patients with a similar disease, in this case for a certain type of cancer.<br />

It was the first application of our tangible modeling approach in the field. As<br />

researchers, we observed the situation and framed it as a case study [2]. Within<br />

one week, twenty BPMN processes were modeled together with three doctors<br />

<strong>using</strong> the tangible modeling toolkit. The workshop was considered a success by<br />

the consultant. In mid 2010, the same consultant approached us again with the<br />

same request. The setting was very similar, only the participants and the clinical<br />

path were changed. This was the starting point for the first action research cycle.<br />

Diagnosing. When reviewing the workshop from 2009 together with the consultant,<br />

we agreed that the introduction was not optimal. Originally, a one-day<br />

introduction to BPM and BPMN was given. Modeling only started on the second<br />

day. A further problem was that the workshop in 2009 got confused with<br />

different media. Tangible tiles, paper printouts, and software were all present<br />

during the workshop. Jumping between media created different embodiments<br />

with different versions of the same process model. A clear guideline was needed<br />

that matches the media with the purpose of the modeling phase. Finally, as researchers,<br />

we wanted to investigate to which extend data collection is feasible in<br />

such a research environment and what can be traced from the data. Up to this<br />

point, we were not sure which data to trace in order to characterize modeling<br />

sessions and results.


4 Alexander Luebbe, Mathias Weske<br />

<strong>Action</strong> planning. We developed a shorter BPMN introduction with the consultant<br />

and proposed warm-up excercises to enable a quicker start with process<br />

modeling. This was based on the idea of learning by doing [8]. We collected<br />

modeling exercises from consultants and literature such as ‘withdrawing money<br />

from an ATM’ inspired by Rittgen [9]. These scenarios enable participants to<br />

get familiar with process modeling without getting lost in domain specific discussions.<br />

We also defined a media framework that proposes to (1) complement<br />

discussions with drawings, (2) use tangible tiles on a table to generate models,<br />

(3) use printouts for reviews, and (4) use software to store models. This was<br />

inspired by the research of Edelman [10] on the role of media in steering conversations.<br />

For data collection, we sent an observer to take photos and detailed<br />

notes during the workshop.<br />

<strong>Action</strong> taking. Again, a one-week workshop was conducted. Three participants<br />

from the hospital worked out the clinical paths for liver transplantation together<br />

with the consultant. The introduction to BPM and BPMN was shortened to<br />

half a day. The second half of the first day was used to model a pizza-ordering<br />

process and discuss modeling decisions. Jena2011-1 In the following four days, the doctors<br />

modeled thirteen processes together with the consultant. Fig. 3 shows some<br />

impressions from the workshop. In total we collected more than six hundred<br />

pictures, nine pages with observer notes and interviews with the consultant and<br />

each participant. From the modeling sessions we collected six snapshots of the<br />

project to document the progress during the week.<br />

Fig. 3. Modeling (left) and reviewing (right) clinical processes <strong>using</strong> BPMN<br />

Evaluating. In interviews at the end of the week, the participants qualified tangible<br />

modeling as well suited to adopt process thinking. The modeling exercise in<br />

the beginning was perceived as a logical part of the introduction. The consultant<br />

liked the way in which the modeling exercise complemented the introduction and<br />

activated participants early. In his opinion the contribution to learning BPMN<br />

is not very high, but the modeling exercise reduces the barrier to start creating.<br />

All together, the introduction and modeling exercise consumed the first day of<br />

the workshop.<br />

The consultant also classified the media framework as a nice idea to keep<br />

in mind. However, it is not a golden rule and does not necessarily match the<br />

practical situation. For example, on day three people added role information to


<strong>Investigating</strong> process elicitation workshops 5<br />

all existing models. They did this by coloring process steps in printed models.<br />

Strictly following our media framework would have implied recreating tangible<br />

models to add this information. Participants said to have experienced the media<br />

choices as natural.<br />

The observer notes and photos were analyzed to identify patterns. We distinguished<br />

four working modes during the workshop week. People got introduced<br />

to new modeling knowledge, participants modeled, the consultant digitalized the<br />

models in the evenings and everybody reviewed results. These modes happened<br />

in a cyclic pattern: (1) introduce, (2) model, (3) digitalize, and (4) review.<br />

Additionally, we used process model metrics by Mendling [11] to explore<br />

characteristics of the models and the modeling progress. Model metrics that<br />

showed a high dynamic were considered as candidate KPIs. We concluded the<br />

amount of information pieces to be characteristic for the modeling progress of<br />

the project. The amount of information mapped per hour in a modeling session<br />

seemed to be a good indicator for productivity. These metrics do not tell all the<br />

truth about a workshop. They are an abstraction to compare workshop outcomes<br />

in relation to the time spent. However, in this special case there was no data to<br />

compare with.<br />

Finally, we asked the consultant for his preferred alternative to tangible modeling<br />

and he responded: “There is no alternative. I knew it would work from our<br />

previous workshop. If I did not have this option then I would have to do interviews.<br />

But if you are not an expert in the domain – which I am not – good luck<br />

understanding your client.”<br />

Specify learning. From this field study, we learned that participants and the<br />

consultant perceived the warm-up exercise as positive. It did shorten the time<br />

to start modeling but overall it did not save time in comparison to the previous<br />

workshop. The actual modeling of content started in both cases at the second<br />

day.<br />

We also learned that the media framework is a good idea to guide consultants<br />

in the selection of media for the workshop. But it is not a golden rule and the<br />

media must be chosen specific to the situation. Observation notes and photos<br />

enabled us to trace phases, productivity and modeling progress. From the transition<br />

of phases, we identified a natural modeling cycle. The productivity and<br />

process data itself, however, is meaningless without a proper data set to compare<br />

with.<br />

By reviewing the workshops in 2009 and 2010 we identified themes that<br />

worked well. From that we derived the first practical guidance for moderators<br />

and iterated it with the consultant. The guidance was on topics such as the<br />

right setting, the media framework and the warm-up exercises. To broaden our<br />

results, we identified the following research questions to be most pressing for a<br />

subsequent AR study:<br />

1. Is the idea specific to BPMN as a process notation<br />

2. Does tangible modeling create results different from other techniques<br />

3. How productive is tangible modeling compared to other group workshops


6 Alexander Luebbe, Mathias Weske<br />

4 EPC modeling at an energy provider<br />

In early 2011, an in-house consultant working for a subsidiary of a large energy<br />

provider in Germany contacted us. The company is responsible to develop and<br />

test new ideas for the energy market such as smart home devices and e-mobility<br />

concepts. Within this company, our contact captures and improves organizational<br />

processes in workshops together with domain experts. He approached us<br />

because he saw a need for tangible modeling in specific workshop situations.<br />

Diagnosing. Two people typically run the process elicitation workshops at this<br />

company as a team, a moderator and a software tool expert. While the moderator<br />

elicits information in a conversation with the participants, the tool expert<br />

translates the information into a process model in the background. The computer<br />

screen is simultaneously projected to a wall. The participants can see the<br />

process model evolving and review it. In this case the process notation is EPC<br />

and the modeling tool is ARIS [12]. A modeling workshop lasts three hours.<br />

The process modeling team worked on more than six hundred process models<br />

together in the last years.<br />

The modeling team faced some problems, which they wanted to tackle with<br />

tangible models. For one, the projector limits the overview. A typical screen<br />

resolution for projectors is 1024 by 768 pixels but even a full HD resolution<br />

would not enable to see the large models all at once. Thus, participants can lose<br />

the overview. A further aspect is the very limited involvement of the participants,<br />

especially, if the model is not that clear but has to be discussed and developed<br />

together. The moderator felt that some conflicts are not expressed because the<br />

participants have no means to do that. These conflicts pop up in subsequent<br />

workshops when the previous workshop result is reviewed. For us, as researchers,<br />

the setting was excellent to tackle our open research questions.<br />

<strong>Action</strong> planning. We wanted a similar setting but change the modeling tool.<br />

Instead of ARIS and a dedicated tool expert, we proposed to use a tangible<br />

version of EPCs, see Fig. 4 (left). The moderator insisted on the software and<br />

the tool expert as a backup. Thus, the model was created on the table and<br />

digitalized for documentation by a dedicated ARIS modeler in parallel.<br />

It was clear that not all workshops would equally benefit from tangible modeling.<br />

We looked for processes with lots of need for discussion and people openminded<br />

towards active workshop participation. The department for idea management<br />

was identified within the company. This department was formed one<br />

year earlier and just grew from two to three knowledge workers. The processes<br />

were not modeled yet but the department looked for software to support their<br />

work. Two workshop sessions were scheduled at two subsequent days. The goal<br />

was to create an overview of the existing processes in this department and to<br />

model the core process that would benefit from software support.<br />

To collect data, we sent two observers to the workshop. Furthermore, we<br />

got access to the organizational handbook of this company with 22 processes<br />

of a similarly structured department. It serves as a reference point for typical


<strong>Investigating</strong> process elicitation workshops 7<br />

processes captured by this team of process modeling experts in this company. To<br />

trace productivity, we collected effort estimations for a recently finished modeling<br />

project from a different department. This project spanned 18 models and served<br />

as a reference point for the productivity of the process modeling team.<br />

<strong>Action</strong> taking. The first workshop started late and ended early due to other<br />

commitments of the participants. Two out of three hours actually remained.<br />

Within that time, the moderator gave a standard ten-minute introduction about<br />

the need for process modeling. In the first step a map of processes for this<br />

department was created. In a brainstorming manner, all processes were collected<br />

on Post-Its at a flip-chart. Subsequently, the workshop participants consolidated<br />

the process landscape by re-arranging the Post-Its. Here, it already turned out<br />

that the scope of this department was not entirely clear. Creating this map<br />

consumed the first workshop hour. In the remaining time, the tangible EPC set<br />

was introduced and the first steps for the ‘idea creation and evaluation’ process<br />

were mapped.<br />

Fig. 4. tangible EPC toolkit (left) and modeling idea management (right) at energy<br />

provider<br />

The next day started with a review of the existing process snippet. The main<br />

path was completed and two alternative paths were modeled. Iteratively, each<br />

path was enriched with roles, documents and IT systems. Three explicit reviews<br />

were done during the workshop, after each completed path. Many more small<br />

reviews happened in the form of mental leaps during discussions. We collected<br />

three pages of observer notes and 112 photos including four snapshots of intermediate<br />

modeling results. We interviewed the moderator, the software tool<br />

expert and one of the participants after the workshops.<br />

Evaluating. The interviewees expressed satisfaction with the workshop result.<br />

The software tool expert attributed the stronger activation of participants to the<br />

non-technical, puzzle-like nature of tangible modeling. The moderator classified<br />

the stronger participation as an expected result. For him, standing, pointing,<br />

and talking already adds value to the workshop. The additional option to move<br />

around tiles and try out alternatives replaces review discussions at later stages,<br />

he said. The participant liked playing an active role in the workshop. For him,<br />

being an active workshop participant was not a new experience. When asked


8 Alexander Luebbe, Mathias Weske<br />

about the next steps of reviewing the digitalized EPC model, he said ”I won’t<br />

look at it. There is nothing to gain. I was here. I know what is in the model.”<br />

Limited review interest might apply !"#$%"& to all types of workshops making active<br />

participation and corrections during the workshop even more relevant. )'&<br />

The digital EPC printed on A3 paper was hardly readable. A graph (& with 126<br />

nodes in total. The same model as a tangible representation was overlooked on<br />

'&<br />

a three by one meter table. Both observers took notes of events where<br />

*+!&<br />

participants<br />

leaped from one end of the model to the other in order to add or correct<br />

+,-.%&)&<br />

information.<br />

We evaluated the workshop result by quantifying the information in the<br />

model. In Figure 5 (left) we compare this with a box-plot derived by evaluating<br />

22 processes modeled by the same BPM experts in a similar department.<br />

For this statistic we counted the amount of node<br />

!"#$%&"'('#")*+,-./0(+"1'2#3)4(<br />

type occurrences in the models.<br />

%"5!2#3(%*''"#/3)(!"#$%&"'%(-%6(<br />

The values from tangible modeling are in range except for role information.<br />

/278.9:3(1")3:.78(<br />

amount of elements per type<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

Amount of elements<br />

35<br />

54<br />

20 17<br />

control Control Flow flow roles Roles documents Documents IT-Systems IT-systems<br />

elements 5$%6.&6-77%8&7%9&,#:9&<br />

mapped per hour<br />

4'&<br />

3'&<br />

2'&<br />

('&<br />

1'&<br />

0'&<br />

/'&<br />

.#>-9%@.:77#9$%8&#9A.,#7.&<br />

)'&<br />

$-"B5C


<strong>Investigating</strong> process elicitation workshops 9<br />

was an unexpected finding. We see model size as a candidate to determine the<br />

tool choice for modeling workshops.<br />

Specify learning. For the practitioners the modeling workshop was successful.<br />

As researchers, we realized that standing, pointing and discussing are important<br />

aspects, no matter which media is in place. Tangible media adds additional<br />

value because it enables the participants to express ideas by directly interacting<br />

with the model. We have chosen the idea management department because<br />

they are familiar with interactive workshops and they had a need for clarifying<br />

discussions. We learned that those situations welcome the use of shared tangible<br />

media.<br />

Our measures indicate that tangible modeling creates similar results when<br />

compared to the established software-supported modeling technique. In our data<br />

set, tangible modeling is also faster for smaller models. Larger models benefit<br />

from a digital tool because it allows copying, pasting, and adapting model parts.<br />

Despite this restriction, we think the tangible modeling productivity is astonishing.<br />

Especially because the additional software modeling tool expert is not<br />

required during tangible workshops. But we are also aware that the numbers we<br />

compare with represent a range of cases from a different department. They were<br />

modeled by the same team of process experts but with other participants.<br />

Although we provided our existing best practice knowledge from the first AR<br />

study, the moderator in charge at the energy provider did not look at them prior<br />

to the workshop. As a result, there was e.g. no warm-up exercise. Instead the<br />

moderator improvised a variant of his existing workshop technique. We reviewed<br />

both AR studies and complemented our best practice knowledge with new insights<br />

about setting and group facilitation. As examples, the modeling session<br />

should be well scoped. Especially, the modeling goal to create an as-is or a to-be<br />

model must be defined upfront.<br />

5 Result discussion<br />

As a practical result of this work, we identified guidelines in the categories of<br />

setting, media framework, modeling cycles, warm-up exercises and group facilitation.<br />

Experienced modeling experts might ignore the advice entirely and run<br />

the workshop by their intuition. But some good practices, like scoping the modeling<br />

session to as-is vs. to-be models, have also been forgotten by the experts in<br />

our studies. Thus, these guidelines can serve as a reminder even for experienced<br />

modeling professionals. The guidelines for setting and media framework are of<br />

particular importance to tangible modeling.<br />

The workshops were able to deliver the expected strong engagement of participants.<br />

The benefits are inline with findings from our lab experiment [4]. For<br />

example, participants said that this type of modeling helped them to learn process<br />

thinking. This is strongly related to ‘more insights into process modeling’<br />

measured in the lab experiment when comparing interviews with tangible modeling.<br />

We also found in the same experiment that participants do many more


10 Alexander Luebbe, Mathias Weske<br />

reviews and corrections when the process is mapped on the table. In the second<br />

AR study, reviews and corrections were noticed as mental leaps by the workshop<br />

moderator and by both observers independently.<br />

We answer our research questions as follows:<br />

1. Tangible process modeling is not specific to a process notation but to the<br />

people and the process to be discussed. People need to be open for the<br />

technique and see a need to discuss the process.<br />

2. Tangible modeling can be used to produce models competitive to softwaresupported<br />

modeling workshops.<br />

3. Tangible modeling productivity is competitive to software-supported modeling<br />

for models that cannot take advantage of re-use through copy and paste.<br />

We want to draw the attention to some limitations of this research. One<br />

particular aspect to point out are the measurement instruments used to compare<br />

productivity and outcome. They are new instruments which need further<br />

testing. Our testing compared workshops from different departments with different<br />

participants. Nevertheless, all data comes from the same team of process<br />

modeling experts that ran the AR study with us. Therefore we think the data<br />

is valuable to build insights and hypotheses. Further investigations with larger<br />

and more homogeneous data sets are needed to strengthen or disprove our conclusions<br />

with statistical expressiveness. For now, we can only make transparent<br />

the path taken for readers to follow or challenge our conclusions.<br />

The two field studies reported in this paper were the main drivers for insights<br />

into the technique and the basis to answer our research questions. But this paper<br />

can only tell a subset of the overall story. As an example, we discussed our<br />

guidelines with more practitioners and researchers to form a stable opinion on<br />

relevance.<br />

6 Related action research<br />

<strong>Action</strong> research is quite well adopted in information systems science to guide<br />

researchers working with professionals [14]. As examples, it was used to improve<br />

the process of software development in coordination with the client organization<br />

[15], increase the value of existing information systems [16] or use software<br />

to create social impact [17].<br />

A typical action research publication mentions the research method but focuses<br />

on problem descriptions and findings from multiple iterations. This is complemented<br />

by theoretical papers on the action research cycle [6] or general AR<br />

principles [7]. In this paper, we use these theoretical guidelines and show their<br />

operationalization in two subsequent action research cycles.<br />

In business process management, action research is not mainstream yet. Practitioners<br />

are typically involved in research through surveys and case studies [18].<br />

If solutions are developed together with practitioners, this is framed as or combined<br />

with design science research (DSR) [19]. Indeed both research approaches


<strong>Investigating</strong> process elicitation workshops 11<br />

have a lot in common [20], in particular the iterative refinement and assessment<br />

of the research artifact, in our case the method.<br />

The nearest relative to our work is the research done by Rittgen [9, 21]. He<br />

designed and implemented software to engage people in group modeling workshops.<br />

The fundamental difference to our work is the assumption that people<br />

can be engaged with computer-based modeling. Our tangible approach targets<br />

people who do not want to work with computers in group workshops.<br />

Rittgen describes his research method as design science research(DSR) in [21]<br />

or a combination of DSR and action research in [9]. In [21], he presents three<br />

years of research as a single execution of the design science cycle. We illustrate<br />

our research journey in this paper <strong>using</strong> two concrete AR iterations to spread<br />

knowledge about the operationalization of action research.<br />

7 Conclusion<br />

We created a modeling approach to engage domain experts in the creation of<br />

their process models. In previous work [4], we determined the effect of tangible<br />

media on individuals in a lab experiment. In this paper, we present field research<br />

with groups. We opt for a five-step action research model to guide our cooperation<br />

with practitioners. We successfully applied tangible modeling with doctors<br />

and businessman <strong>using</strong> BPMN or EPC as process notations.<br />

In cooperation with the professional partners, we developed guidance for<br />

moderators facilitating tangible modeling workshops. This guidance spans the<br />

areas of setting, media framework, modeling cycles, warm-up exercises and group<br />

facilitation. The knowledge we bring into the scientific discussion evolves from<br />

our case data. We claim that (1) tangible process modeling is not restricted to<br />

a process notation but to the people willing to do it. Furthermore, (2) tangible<br />

modeling does not produce a different type of process model and (3) it is not<br />

slower than software-supported modeling as long as model re-use is not common<br />

practice.<br />

Our conclusions are based on qualitative research meaning they are the result<br />

of interpretation. Further investigations with larger and more homogeneous data<br />

sets may strengthen or disprove our claims. In this paper, we present the observations<br />

that led to these interpretations. We also provide a sample for other BPM<br />

researchers that want to work with practitioners to generate both, practical and<br />

scientific knowledge.<br />

Acknowledgement<br />

We are grateful to the BPM practitioners that fearlessly tried out new ideas<br />

at work. We also acknowledge the support by Markus Guentert who helped to<br />

collect and evaluate data.


12 Alexander Luebbe, Mathias Weske<br />

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