AOM IM Division Research Webinar Editors' Panel: Data in International Business Research - Sources, Validation and Transparency 10:00 - 11:30 am (Eastern Time), October 2, 2020 Panelists: * Brian Connelly (Auburn University) - Journal of Management, Editor-in-Chief * Ilya Cuypers (Singapore Management University) - Academy of Management Journal, Associate Editor * Aseem Kaul (University of Minnesota) - Strategic Management Journal, Associate Editor * Klaus Meyer (Western University) - Journal of International Business Studies, Area Editor Organizers: * Liang Chen, University of Melbourne * Noman Shaheer, University of Sydney * Maximilian Stallkamp, Virginia Tech * Sali Li, University of South Carolina (Division Online Research Resources Committee Chair) This is the first of a series of Research Webinars the AOM IM Division organizes. Recent changes in the international business landscape, such as the rise of the digital economy, nationalistic sentiments across the world, and global pandemics, present researchers with a large set of new questions. Understanding these issues will require new sources of data, beyond well-known databases such as SDC or Compustat. Fortunately, there are new opportunities to build new datasets. For instance, scholars can now use modern programming techniques to gather unstructured data from websites. Several new datasets on a variety of topics such as entrepreneurship, innovation, and emerging economy firms are also becoming available. While these new data sources are critical for advancing research, they also raise concerns. There is little agreement on the criteria for assessing the reliability and validity of new data sources. The increasing use of proprietary datasets also raises challenges with respect to the transparency and replicability of empirical research, as well as inequality of opportunities among research institutes with different resource endowments. The use of the same datasets in multiple papers to investigate different research questions is another contested debate. This forum is an attempt to look deeper into these important questions about data sources, data validation, and transparency in the domain of international management/business and global strategy. Let's hear from the editors of the field's leading journals! Such a dialogue will be particularly beneficial for PhD students and early-career researchers, as many of them aim at building novel datasets but need guidance in finding the right data sources, assessing their validity for research, and effectively analyzing them in producing high-quality research. The Webinar will begin with a panel discussion, followed by a moderated Q&A for which we invite attendees to share questions of interest. Please use the registration link below. Once you've signed up, be sure to keep an eye on your email inbox. We look forward to seeing you online soon! <https://unimelb.zoom.us/webinar/register/WN_q8bB7DaCRjaFVdZwrcMAUA> REGISTER NOW Liang Chen | Senior Lecturer in Management Department of Management and Marketing | Faculty of Business and Economics Level 10, The Spot, 198 Berkeley Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 2773 E: <mailto:[log in to unmask]> [log in to unmask] <http://unimelb.edu.au/> unimelb.edu.au | <http://facebook.com/unimelb> facebook.com/unimelb | <http://twitter.com/dr_liangchen> twitter.com/dr_liangchen I acknowledge the Traditional Owners of the land on which I work, and pay my respects to the Elders, past and present. CRICOS: 00116K This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error, please delete it and notify us by return email. ____ AIB-L is brought to you by the Academy of International Business. For information: http://aib.msu.edu/community/aib-l.asp To post message: [log in to unmask] For assistance: [log in to unmask] AIB-L is a moderated list.