Fast Facts

  • Event Date: 2 July 2024
  • Registration Deadline: 1 May 2024
  • Point of Contact: Marianna Marra, University of Sussex,

RM-SIG Workshops

So, You Want to Conduct an Experience-Sampling Study: An In-Depth Discussion of Conceptual, Operational, & Logistical Issues

Workshop Lead: Joel Koopman (Texas A&M University)

Time and Date: 2 July 2024, 9am-12pm KST

Experience sampling (ESM) is a well-known and widely used study design aimed primarily at examining within-individual covariation of transient phenomena utilizing repeated measures. ESM studies are increasingly popular among researchers, however there are a number of important considerations and nuances associated with these method. While many papers have been published and talks given on advanced issues pertaining to ESM studies, what remains largely undiscussed are some of the basic operational and tactical decisions that must be made when designing and running an ESM study. Thus, the purpose of this talk is to walk through some of the basics of these studies and demystify the processes in service of helping scholars to collect data that captures their focal phenomenon with a high degree of accuracy and validity.

Conducting Mixed-Methods Research in IB: Potential and Pitfalls

Workshop Lead: Niina Nummela (Turku School of Economics)

Time and Date: 2 July 2024, 9am-12pm KST

In this workshop, we cover the foundations of mixed-methods research in International Business. After the workshop, the participants will get an overview of mixed-method research strategy, from the philosophical underpinnings to practical applications. At the workshop, participants will learn about best practices of conducting mixed-method research and have an improved understanding whether this strategy would be purposeful in their own research. We will also discuss the challenges related to publishing and reviewing such research. The workshop will close with a session in which the participants can pose questions and reflect on their learning.

RM-SIG Masterclasses

AI, GPT4, Measurement and the Epistemology of Research

Masterclass Lead: Andrew Delios (National University of Singapore)

Time and Date: 2 July 2024, 1:30pm-4:30pm

The science of social science develops and improves over time. But how much of social science is science, in the strictest sense of the definition of science? This question is not a new one, but it is an important one for understanding what skills we need to develop as social scientists involved in research on organizations. Its importance extends from the practices we adopt and the practices that we focus on improving, in order to progress the rigor of our methodologies and the consequent level of confidence we have in empirical results. Our session will oscillate between big picture epistemological issues and specific examples that consider techniques related to improving measurement, alternatives to the solo-hero researcher model, and the incorporation of large language models such as GPT4, Claude 2 and Bard into our research processes.

Qualitative Research in Emerging Markets

Masterclass Lead: Tian Wei (Fudan University)

Time and Date: 2 July 2024, 1:30pm-4:30pm

The importance of theory building makes qualitative research undeniable in today’s rich, open and complex international environment. Recently, an explosion of new international business phenomena in emerging markets increases the pressure of building theories and provides attractive research sites for qualitative scholars. Yet, existing literature on the trustworthiness of qualitative methods in international business follow western methodological convention, which originates from developed economies and is not easy to capture contextual richness of emerging markets. This masterclass targets early career scholars and PhD students. It firstly reviews two traditional philosophical paradigms of qualitative research: qualitative positivism, and naturalist paradigm. After that, it explores the context of emerging markets and identifies action risks in establishing trustworthiness of qualitative methods in emerging markets. Finally, after discussions and brainstorming, it suggests approaches and procedures on contextualization and theorization in overcoming action risks.