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University of Innsbruck School of Management Information Systems Identifying Collaboration Know-How from Action Patterns in Distributed Teams SECOND INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS SIMPDA 2012 Campione d‘Italia, Italy Isabella Seeber, Ronald Maier

Identifying Collaboration Know-How from Action Patterns in Distributed Teams

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SECOND INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS SIMPDA 2012. Learn more on http://www.aristotele-ip.eu/

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Page 1: Identifying Collaboration Know-How from Action Patterns in Distributed Teams

University of Innsbruck School of Management

Information Systems

Identifying Collaboration Know-How from

Action Patterns in Distributed Teams

SECOND INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS

SIMPDA 2012

Campione d‘Italia, Italy

Isabella Seeber, Ronald Maier

Page 2: Identifying Collaboration Know-How from Action Patterns in Distributed Teams

University of Innsbruck – Isabella Seeber 2

source: peaksalesrecruiting.com

Page 3: Identifying Collaboration Know-How from Action Patterns in Distributed Teams

University of Innsbruck – Isabella Seeber

Driving team performance through collaboration

3

source: mosaik.co.at

Know-how describes

knowledge about

procedures (Garud, 1997)

Collaboration know-how

describes how a team

coordinates and integrates its

actions to work with members of

the team (Majchrzak et al. 2005)

how to assign

responsibilities

how to agree

on goals

how to

structure task

Page 4: Identifying Collaboration Know-How from Action Patterns in Distributed Teams

University of Innsbruck – Isabella Seeber

Understand collaboration know-how from UGC

• It is important to understand how people actually behave and use

technology in groups (Andriessen, 2002)

• Collaboration software allows gathering user generated content

• Identify patterns of collaboration comprising generating ideas, reducing ideas, clarifying ideas, organizing concepts, evaluating concepts, and building shared

understanding (de Vreede and Briggs 2009)

4

source: telegraph.wisecodes.com

Page 5: Identifying Collaboration Know-How from Action Patterns in Distributed Teams

University of Innsbruck – Isabella Seeber

How can we identify collaboration patterns with process-mining techniques from communication logs gathered in

collaborative settings?

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ThinkLet/ActionPattern I Conceptual Model I Case Example I Outlook

Page 6: Identifying Collaboration Know-How from Action Patterns in Distributed Teams

University of Innsbruck – Isabella Seeber

ThinkLet – OnePage / Action Pattern

Choose this thinkLet… • … to generate a few (less than 80 or so) comments on one topic

• … when 5 or fewer people will brainstorm together

• … when 6 or more people will brainstorm for fewer than 10 minutes

• … […]

Input: the brainstorming question

Output: a set of comments in response to a brainstorming question or prompt

Steps: • Make sure the participants understand the brainstorming question or prompt. Say this:

If you have any questions with respect to the brainstorming question or assignment, please speak up.

• If necessary, facilitate a verbal discussion to address any understanding difficulties. If necessary, re-formulate the question or prompt.

• Inform the participants of time limits, if any.

• Let the participants contribute comments until they run out of ideas

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Page 7: Identifying Collaboration Know-How from Action Patterns in Distributed Teams

University of Innsbruck – Isabella Seeber

Coding Schema – Example

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Person Time Content Action

Reese 3:05 How about a wiki-like approach

proposeOption

Robin 3:05 Yeah, I assume you have to use a system on top which then links to the specific documentation…

supportOption

Skyler 2:51 Good, idea but a wiki takes a lot of time

supportOption ChallengeOption

Robin 3:10 How should we go on? AskOption

Reese 3:12 We should discuss all together AnswerOption

Page 8: Identifying Collaboration Know-How from Action Patterns in Distributed Teams

University of Innsbruck – Isabella Seeber

Conceptual model

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Page 9: Identifying Collaboration Know-How from Action Patterns in Distributed Teams

University of Innsbruck – Isabella Seeber

Case Example

• Laboratory Experiment investigating collaborative writing

• 6 teams with 3 members

• Task: write a report on how to improve knowledge management in a fictional organization

• Treatment group: task description and structured description how to run through the collaboration activities

• Control group: task description plus a list of steps to fulfill the task that is brainstorm, converge, write and evaluate

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Page 10: Identifying Collaboration Know-How from Action Patterns in Distributed Teams

University of Innsbruck – Isabella Seeber

Brainstorming in selected teams

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Control groups:

Treatment group:

Page 11: Identifying Collaboration Know-How from Action Patterns in Distributed Teams

University of Innsbruck – Isabella Seeber

Interpretation & Conclusion

• The treatment group adopted collaboration facilitation of the OnePage thinkLet

• Further analysis showed that changes in collaboration patterns can be visualized

• Limits in interpretation: e.g., switch from generate to converge

• Coordination problems impact team performance negatively facilitate teams with collaboration know-how in the form of action patterns

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Page 12: Identifying Collaboration Know-How from Action Patterns in Distributed Teams

University of Innsbruck – Isabella Seeber

Outlook

• Using social network analysis to drive understanding of dynamic role differentiation in teams

• Adapt coding schemes to benefit from automated process-mining

• From describing collaboration behavior via understanding collaboration patterns to diagnosing collaboration know-how and facilitation improving team performance

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Page 13: Identifying Collaboration Know-How from Action Patterns in Distributed Teams

University of Innsbruck – Isabella Seeber

Contact

Isabella Seeber

[email protected]

University of Innsbruck

School of Management

Information Systems I

Universitätsstraße 15

6020 Innsbruck, Austria

Thank you for your attention!