Call for AOM PDW Applications:
Sequence Analysis in Management Theory and Practice
Program Session: 209 | Sponsors: (RM, OB)
Session Format: In-person Only, Seattle
Date/Time: Friday, Aug 5 2022 3:15PM - 6:15PM PT (UTC-7)
Location: Seattle Convention Center (SCC) Room 607
Sequence analysis captures the ordinal and temporal structure of discrete data, such as the pattern of rivals' competitive attacks, progression of jobs in a career path, or stages of a hostage negotiation. Although the value of sequence analysis for organizational research was introduced over three decades ago, the adoption of sequence- related methods in management remains limited. We believe that this is due to a combination of unfamiliarity (with sequence concepts) and inaccessibility (of sequence analysis computations). Accordingly, we designed this professional development workshop (PDW) to tackle both challenges for scholars, including but not limited to the fields of strategic management, organizational theory, and organizational behavior. The PDW is formatted around a tutorial structure, which will be preceded by a phenomenological and theoretical background on sequences, and followed by an engaging, discovery-oriented discussion of the usefulness of sequence analysis in future research. Please refer to the PDW schedule outline below.
How do I register?
There is no charge to attend, but pre-registration and conference registration are required. Attendance is limited to 50 participants. Please fill out the PDW registration form at this link by Sunday July 17 (extended from original July 8 deadline in AOM program) to receive confirmation of registration from the session organizer: https://missouri.qualtrics.com/jfe/form/SV_0p7XpEPGepGgyl8.
What should I bring?
Participants should bring their laptop with the SequenceR program to use during the workshop. As this is in iterative development, please download the program only during the week before the session, July 29 – August 4: https://github.com/sdownin/sequencer#download. Tutorial data files will be made available to admitted participants before the workshop.
Questions?
Please contact: Stephen Downing (sdowning@missouri.edu) and Walter Ferrier (walter.ferrier@uky.edu). Please include "[AOM2022 Sequence PDW]" in the email subject line.
PDW Contents and Schedule:
The main tutorial contents of the PDW will incorporate two learning tools that facilitate hands-on practice with sequence analysis: (1) sets of colored toy blocks, representing discrete organizational events, aid in building intuition about sequence concepts, and (2) a user-friendly (graphical user interface) software program, SequenceR, aids in computing sequence measures. Thus, the key takeaway for participants will be the development of a new skill: understanding and computing sequence analysis measures. We expect that this tutorial format is suited not only to delivering a quality learning experience but also to fostering cross-divisional interactions for participants' professional development.
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Section
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Time
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Workshop Contents
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1. Intro & Background
(50 min)
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5 min
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Welcome, explain objectives
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15 min
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Background presentations motivating the importance of sequence analysis concepts
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15 min
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Prior studies comparison: Sequence vs. non-sequence
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15 min
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Basics sequence concepts and measures
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15 min
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*** BREAK ***
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2. Practice
(75 min)
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30 min
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Group hands-on exercises:
- Sequence analysis of colored toy blocks
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45 min
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Individual sequence analysis computations using SequenceR
- 10-15 min. Tutorial
- Intro to SequenceR with synthetic data
- 25-30 min. Practice
- Load real data, select measures, compute results, interpret numeric and visual output of sequence measures
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10 min
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*** BREAK ***
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3. Discussion
(30 min)
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25 min
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Discussion:
- New questions
- Participants' ideas for application of sequence analysis
- Future directions and related models/applications
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5 min
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Wrap-up
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------------------------------
Jin-Su Kang
National Chiao Tung Univ.
Hsinchu
886 3 571 2121 x57063
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