Welcome

RM-SIG Logo

Welcome to the AIB RM-SIG.

 

Mission:

“To advance the quality, diversity and understanding of research methodologies in international business, and to promote innovation in research methodologies.”

WHAT’S NEW

We are very happy to announce that Academy of International Business is a new member of CARMA Affiliate Programs. These programs are offered in partnership with professional associations more information about these programs can be found on our CARMA Website.

To welcome members from AIB we are offering a small number of FREE COMPLIMENTARY REGISTRATIONS for three of upcoming CARMA Live Online Short Courses. Each course lasts five hours per day for four days, Tuesday January 3 through Friday January 6. Since these courses are held concurrently, you can only register for one course. 
 
CARMA Short Courses can be accessed live during waking hours from many regions around the world, including:

U.S. ET | 10 AM – 3 PM
U.K. GMT | 3 PM – 8 PM
Israel IST | 5 PM – 10 PM
Africa CAT | 5 PM – 10 PM
 
To register for the course, please send an email to “carma@ttu.edu” indicating the one course you want to take by December 21st.

Short Courses description and preview videos can be found below.

Introduction to SEM with LAVAAN – Dr. Robert Vandenberg, University of Georgia
This introductory course requires no previous knowledge of structural equation modeling (SEM), but participants should possess a strong understanding of regression AND have understanding about the basic data handling functions using R. All illustrations and in-class exercises will make use of the R LAVAAN package, and participants will be expected to have LAVAAN installed on their laptop computers prior to beginning of the course. No course time will be spent going over basic R data handling and installing the LAVAAN package. The course will start with an overview of the principals underlying SEM. Subsequently, we move into measurement model evaluation including confirmatory factor analysis (CFA). Time will be spent on interpreting the parameter estimates and comparing competing measurement models for correlated constructs. We will then move onto path model evaluation where paths representing “causal” relations are placed between the latent variables. Again, time will be spent on interpreting the various parameter estimates and determining whether the path models add anything above their underlying measurement models. If time permits, longitudinal models will be introduced.
 
Watch the Preview Video
 
Advanced Data Analysis with R – Dr. Justin DeSimone, The University of Alabama
This short course will begin with an introduction to linear regression analysis with R, including models for single/multiple predictors and model comparison techniques. Particular attention will be paid to using regression to test models involving mediation and moderation, followed by consideration of advanced topics including multivariate regression, use of polynomial regression, logistic regression, and the general linear model. Exploratory factor analysis and MANOVA will also be covered. For all topics, examples will be discussed and assignments completed using either data provided by the instructor or by the short course participants.
 
Watch the Preview Video
 
Systematic Reviews and Meta-Analysis in R – Dr. Ernest O’Boyle, Indiana University
Meta-analyses have now become a staple of research in the organizational sciences. Their purpose is to summarize and clarify the extant literature through systematic and transparent means. Meta-analyses help answer long-standing questions, address existing debates, and highlight opportunities for future research. Despite their prominence, knowledge and expertise in meta-analysis is still restricted to a relatively small group of scholars. This short course is intended to expand that group by familiarizing individuals with the key concepts and procedures of meta-analysis with a practical focus. Specifically, the goal is to provide the necessary tools to conduct and publish a meta-analysis/systematic review using best practices. We will cover how to; (a) develop research questions that can be addressed with meta-analysis, (b) conduct a thorough search of the literature, (c) provide accurate and reliable coding, (d) correct for various statistical artifacts, and (e) analyze bivariate relationships (e.g., correlations, mean differences) as well as multivariate ones using meta-regression and meta-SEM. The course is introductory, so no formal training in meta-analysis is needed. Familiarity with some basic statistical concepts such as sampling error, correlation, and variation is sufficient.
Watch the Preview Video

AIB SIG Webinar: An Introduction to Simulation for IB Research

Time: 16 November 2022, 17:00 UTC (View Local Time)

Registration Deadline: 15 November 2022

Register Here

Overview

This webinar will focus on an introduction to simulations while conducting international business research.  Facilitated by the AIB’s Research Methods Shared Interest Group (RM-SIG), this webinar will include an overview of simulations.

Organizational scholars have used simulations to better understand the properties of statistical techniques. In addition to describing the benefits of simulations, this webinar will also include an example of a simulation using Stata. Finally, this webinar will offer potential applications to IB research.


Speakers

 

Dr. Trevis Certo is the Jerry and Mary Anne Chapman Professor of Business at the W. P. Carey School of Business at Arizona State University. He obtained his PhD from Indiana University.  Professor Certo studies how corporate governance structures and top management teams influence firm performance. His research explores these topics extensively in the context of firms undertaking initial public offerings. He also focuses on statistical techniques that help to isolate relationships of interest within large datasets. Dr. Certo has a reputation as a world-class methodologist. His work also included articles on prospectus data; panel data issues; as well various analytical techniques such as difference-in-difference models; sample selection bias and Heckman models; mediation models. Interestingly, Dr. Certo has used simulations in many of these methods articles. His research has appeared in the top journals in the discipline, including the Strategic Management Journal, the Academy of Management Journal, and the Academy of Management Review.

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Dr. Stewart Miller is Professor of Management at The University of Texas at San Antonio. Also, he is an Adjunct Professor in the Department of Cardiothoracic Surgery at UT Health San Antonio. His research interests include: liability of foreignness, internationalization, CSR, and research methods.  He has over 50 publications including scholarly articles, cases, teaching notes, book chapters. His articles have appeared in AMJ, SMJ, JIBS, Journal of Management, Organization Science, Organizational Behavior and Human Decision Processes, GSJ, MIR, and IBR among others.  Also, he is a co-author (with H. Deresky) of the textbook, International Management (10th edition).  He is President and a Co-Founder of the AIB Research Methods SIG (RM-SIG). He was the 2020 Chapter Chair for the AIB – Southeast US Chapter Annual Conference. He is a Consulting Editor for Journal of International Business Studies.

Research Methods Workshops

Following AIB-Oceania Annual Research Symposium and PDW

Hosts:  AIB-Oceania Annual Research Symposium

Time: 26 November 2022

Registration Deadline: 24 October 2022 (midnight AEST)

Join us in person on 26 November 2022 for Research Workshops with outstanding instructors – Tine Köhler, Bo Nielsen and Noemi Sinkovics – visiting from interstate and overseas and hosted by QUT Faculty of Business and Law, Gardens Point Campus, Brisbane Australia.

These workshops are organised in collaboration between AIB Oceania, QUT Faculty of Business and Law, the AIB Research Methods Shared Interest Group,Critical Perspectives on International Businessand Organizational Research Methods. The workshops are especially suited to higher degree research students, early career researchers, or those looking to extend their expertise in research methods. Discounted rates apply when attending and registering as an AIB member.

Choose from morning and afternoon workshops on offer, each of approx. 3 hours duration (including break):

  • Different Qualitative Coding Approaches: Choosing Methods with Purpose, with Tine Köhler
  • Multi-level Theory and Modelling, with Bo Nielsen
  • Literature Reviews in the Age of Information Overload, with Noemi Sinkovics

Registration

AIB members can register for the Workshops at a reduced rate using the AIB Member Registration link below. Those without AIB membership can either join AIB by using the AIB Member link below (you will be redirected to a Membership Subscription page) or choose to register via the Non-member Registration link below. Registration Prices for AIB members are US$18 (approx. Au$25) for one workshop and US$25 (approx. Au$35) for two workshops (1 in morning, 1 in afternoon). Prices for non-members are Au$50 for one workshop and Au$75 for two. Registration includes light refreshments.

AIB MEMBERS: REGISTER HERE
NON-AIB MEMBERS: REGISTER HERE
Location: QUT Gardens Point Campus (P Block), Brisbane, Queensland Australia – next to the beautiful Botanic Gardens, South Bank Cultural Precinct and dining, and extensive river walks.

Newsletter

The latest issue of our newsletter is available here.

AIB 2022:

We would like to thank everyone who participated in our workshops, masterclasses and clinics which took place as part of the 2022 AIB Annual meeting in Miami.