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Workshops
- Introduction to Structural Equation Models
Description: This workshop includes an introduction to SEM, including confirmatory factor analysis and structural equation
methods with latent variables. We will discuss special issues related to the application of these techniques in organizational
research, and compare these techniques with traditional analytical approaches. We will cover the conceptual and statistical
assumptions underlying theses methods, how to implement data analysis techniques using software program, and how to interpret results using the contemporary software programs.
Course Instructor: Jonas Lang, Ghent University (Netherlands) - Partial Least Squares (PLS)
Description: This workshop provides an introduction to advanced issues in PLS-SEM, focusing on ways to interpret and assess structural model results. Specifically, the workshop will – after a recap of standard guidelines of structural model assessment and interpretation – discuss the importance-performance map analysis. In addition to looking at the importance of constructs in explaining other constructs in the structural model, this analysis takes the performance of each construct into account. Therewith, it enriches the model interpretation by enabling a prioritization of managerial actions along both, importance and performance. Furthermore, it will cover prediction-oriented assessment of PLS-SEM results by using the Blindfolding and PLSpredict methods. This will also involve the prediction-oriented model selection. Practical applications and the use of the software SmartPLS 3 are an integral part of the workshop.
Course Instructors: Nickole F. Richter, University of Southern Denmark (Denmark), Christian M. Ringle, Hamburg University
of Technology (Germany) - Introduction to Multi-level Analysis
Description: This workshop is introductory in nature. It starts with a brief overview of the historical roots resulting in the need
to consider multilevel issues in our research designs. We then discuss the issues underlying aggregation and disaggregation
as this is at the heart of multilevel modeling. The latter in turn forces us then to consider some of the analytical challenges
(e.g., interdependence vs. independence of observations; intra-class correlations and variance partitioning, etc.) resulting from
multilevel thinking. We then move into the basic multilevel models such as random intercept, and random slopes models. Considerable time will be spent on the latter as understanding these makes actually conducting the analyses much easier. After
completing it, the topic will switch to multilevel conceptualization. Finally, we end this workshop discussing aggregation indices
and their importance.
Course Instructor: Robert Vandenberg, University of Georgia (USA) - Writing Up Qualitative Research
Description: What is the best way to write up the literature review for a paper based on qualitative research? How can you
write up your findings while doing justice to a rich dataset? How do you craft your theoretical contribution? How do you balance
‘showing’ your data and ‘telling’ your theorisation of it? How can you solve the challenges of writing up a process-based study?
This workshop will cover these key questions for qualitative researchers seeking to publish journal articles based on their studies. The workshop will be run in an interactive way, to provide participants the opportunity to share challenges, discuss different approaches, and obtain insights into writing up qualitative research for publication in international business journals.
Course Instructors
Mary Yoko Brannen, Copenhagen Business School (Denmark), Jesper Edman, Waseda University (Japan), Becky Reuber,
University of Toronto (Canada), Catherine Welch, University of Sydney (Australia) - Intermediate SEM: Model Evaluation
Description: This workshop assumes participants have some introductory knowledge of SEM. It will cover how to build
measurement models, including use of items and parcels as indicators. A second topic to be addressed is the use of CFA
models for common method variance. Finally, the issue of model evaluation will be a third focus. Discussion will focus on how
these issues arise in organizational research, and examples will be emphasized. An emphasis will be placed on what IB researchers should know to conduct and review research that includes these three topics.
Course Instructor: Jonas Lang, Ghent University (Netherlands) - Intermediate Multi-Level Analysis
Description: If you don’t have a basic understanding of multilevel modeling, you may get a bit lost in this one. If you attended
the introductory workshop earlier in the day, you’ll be fine. In summary, this workshop uses the Mplus statistic package to
analyze a number of random coefficients multilevel models. While I use Mplus, some of the models may be evaluated using
other statistical packages. There is a progression in this workshop from analyses used to test the assumptions for aggregation to complex ones involving mediation, cross-level interactions, and models in which there are variables only at the between and within levels of analyses. The examples illustrate both the random vector of means and of coefficients/slopes.
None of the examples in this module are structural equation models using latent variables. The examples in this module incorporate observed variables only. Participants will be given a comprehensive handout with all the examples including syntax.
Course Instructor: Robert Vandenberg, University of Georgia (USA) - Making IB research impactful and globally relevant
Description: How can our IB research create real value for the world around us? How can we bring our best minds in IB to
address important and burning questions in the global economy? How can we enhance our research so that it will be more
impactful for a wider audience among and beyond our academic peers? If these are the questions that you care about, we
invite you to join a group of AIB Fellows who in partnership with the RRBM are planning a half-day professional development
workshop (PDW) at the AIB conference in Copenhagen. Three key objectives are: (1) Explore seven key principles of responsible research; (2) Build two or three ideas for you or your team at your home institution to develop an impactful research agenda. (3) Advance a few general ideas on how we can improve both the credibility and the impact/usefulness of
our IB research. The workshop format will be highly interactive. You will hear from leading scholars as well as breakout discussions to develop your own plans for an impactful research agenda.
Course Instructors: Anne Tsui, Arizona State University (USA), Charles Dhanaraj, Temple University (USA), Mike Hitt, Texas A&M University & Texas Christian University, Cristina Gibson, Pepperdine University, Zhixue Zhang, Peking University
Clinics
- These clinics are being offered in partnership with the Consortium for the Advancement of Research Methods and Analysis (CARMA).
Date and Time: June 25, 2019 : 1:00pm – 2.15 pm - Structural Equation Modelling (SEM): Bo Nielsen
- Qualitative Methods: Catherine Welch
- Longitudinal Data/Multi-level Analysis/Research Design: Bob Vandenberg
Date and Time: June 25, 2019 : 2:30pm – 3.45 pm - Longitudinal Data/Multi-level Analysis/Research Design: Bob Vandenberg
- Categorical Data/Survey Design: Elizabeth Rose
- Structural Equation Modelling (SEM): Bob Vandenberg
Date and Time: June 26, 2019 : 1:00pm – 2.15 pm - Logistical and Multiple Regression: Douglas Dow
- Qualitative Methods: Rebecca Piekkari
- Multinomial, Ordered, Conditional, and Nested Logits/Probits: Stewart Miller
Date and Time: June 26, 2019 : 2:30pm – 3.45 pm - Meta-Analysis: Ahmet Kirca
- Mixed Methods: Niina Nummela
- Multivariate Analysis; Covariate Effects; Model Specifications: Stewart Miller
Date and Time: June 27, 2019 : 1:00pm – 2.15 pm - Hierarchical Linear Modelling, SEM: Bo Nielsen
- Data Collection and Questionnaire Design: Agnieszka Chidlow
- Panel Data & Poisson Models: Stewart Miller
Each clinic features a particular expert, topic and aims to provide a discussion as well as direct feedback from a series of research
methods experts/practitioners.
RM-SIG Sponsored Panel
The following panel session has been sponsored by the RM-SIG:
Panel Title: Future research in cross-cultural management: Which methods and approaches should we be using?
Date and time: Wednesday June 26, 16:15-17:30 (Session 2.5.2)
In an era of populist nationalism, mass migration, widespread questioning of the benefits of globalization, and calls for more relevance and grand challenges in our research, cross-cultural management research is facing a more challenging global environment – but also one where its insights into cross-cultural understanding and diversity management are greatly needed. The intellectual context has been changing too, due to developments in epistemology and the philosophy of science, the influence of global movements such as post-colonialism, and developments in science and technology, such as the rise of big data. Given these
changes, it is an appropriate time to be asking which methods and approaches we are using — versus could and should be — in
cross-cultural management.
The panelists comprise editors and contributors to a Handbook of Contemporary Cross-Cultural Management edited by Betina
Szkudlarek, Laurence Romani, Dan Caprar and Joyce Osland. Panelists will cover topics such as alternative philosophical perspectives (positivist, interpretivist, critical and post-colonial), innovations in survey methodology and experiments, alternative approaches to case studies, the role of ethnographic research and critical methods.
The aim of the panel is to stimulate debate and reflection about new developments in the field, technological and conceptual innovations that IB researchers could be taking advantage of, and a discussion about which methods and approaches we are currently neglecting – or over-using
RM-SIG AIB 