(Apologies for cross-posting)
Call for AOM PDW Applications:
Sequence Analysis for Management Research
Program Session: To be announced (submission reference ID 16599)
Sponsors: RM, STR, OB
Session Format: In-Person Only, Boston
Date/Time: Friday, Aug 4 2023 1:00PM - 4:00PM ET (GMT-4/UTC-4)
Location: Boston Hynes Convention Center in 203
Sequence analysis captures the ordinal and temporal structure of discrete data-including both macro-level phenomena like the pattern of rivals' competitive attacks and micro-level phenomena like the progression of jobs in a career path (see references list below). 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.
Representative Sequence Analysis References:
· Pelz, D. (1985). Innovation complexity and the sequence of innovating stages. Creation, diffusion, utilization, 6: 261-291.
· Abbott, A. (1990). A primer on sequence methods. Organization Science, 1: 375-392.
· Sabherwal, R. & Robey, D. (1993). The empirical taxonomy of implementation processes based on sequences of events in information system development. Organization Science, 4: 548-576.
· Rindova, V., Ferrier, W. J., & Wiltbank, R. (2010). Value from gestalt: how sequences of competitive actions create advantage for firms in nascent markets. Strategic Management Journal, 31(13), 1474-1497.
· Kleinbaum, A. M. (2012). Organizational misfits and the origins of brokerage in intrafirm networks. Administrative Science Quarterly, 57(3), 407-452.
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 Friday, July 28, to receive confirmation of registration from the session organizer:
https://missouri.qualtrics.com/jfe/form/SV_a3GMyQ8NFw4cNEO
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 31 – August 3: 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 "[AOM 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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Basic 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
o Intro to SequenceR with synthetic data
· 25-30 min. Practice
o 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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Organizers:
Walter Ferrier, U. of Kentucky
Stephen Downing, U. of Missouri
Jin-Su Kang, NYCU, Taiwan
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Jin-Su Kang
Full Professor
NYCU
Hsinchu
886 3 571 2121 x57063
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