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Organizer: P Devereaux Jennings, OMT, ONE, ENT, BPS
Organizer: Timothy Hannigan, U. of Alberta
Presenter: Richard Franciscus Johannes Haans, Rotterdam School of Management, Erasmus U.
Presenter: Keyvan Vakili, London Business School
Presenter: Vern Glaser, U. of Alberta
Presenter: Hovig Tchalian, Drucker School of Management
Presenter: Milo Shaoqing Wang, U. of Alberta
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| The goal of our PDW is to engage participants from OMT, STR, and RM in the analysis of text with topic modeling and techniques for building theory with such analysis using a hands-on approach. Topic modeling is at the interface of method & theory, big and little data, quantitative & qualitative analysis, and induction and deduction (DiMaggio et al., 2015; Grimmer and Stewart, 2013; Mohr and Bogdanov, 2013; Mützel, 2015). Participants (who need no more than basic programming knowledge and an interest in theory building) will be guided through running pre-built programs in the R programming language. These will be based on standard unstructured topic modeling routines applied to various textual datasets and then will examine different theory- building methods and subject area examples. Modeling will be learned from co- leads who have managed to straddle these divides: Tim Hannigan, Richard Haans, Keyvan Vakili, Hovig Tchalian and Milo Wang. Academics with experience in theory building from mixed methods, Tim Hannigan, Vern Glaser and Dev Jennings, will discuss different methods and examples for moving from analysis to theory in article writing. The PDW is targeted to researchers in OMT and STR, along with methodologists from RM. |
| Pre-registration is required for this session. To register online, please visit https://secure.aom.org/PDWReg. Please contact the workshop organizer Dev.Jennings@ualberta.ca to obtain the approval code. The deadline to register online is July 27, 2018. |
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