Graduation Semester and Year
Fall 2024
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Information Systems
Department
Information Systems and Operations Management
First Advisor
Dr. Riyaz Sikora
Second Advisor
Dr. Sridhar Nerur
Third Advisor
Dr. Mahmut Yasar
Abstract
Understanding research collaboration patterns that lead to more impactful outcomes informs decision-makers' strategies. Nevertheless, few studies in the IS literature explore cross-continental collaboration among scholars. Moreover, the use of patent data for studying international cooperation between artificial intelligence (AI) innovators is underutilized in IS literature. The primary objective of this dissertation is to examine how international collaboration patterns influence citation impact, a recognized quality measure. Focusing on IS scholarly publishing and artificial intelligence (AI) innovation.
The first study investigates international collaboration’s effect on citation outcomes and scholarly topics in IS, particularly between North American and European researchers. Using data from ten leading IS journals spanning 2014–2022, it builds on Kamalski and Plume’s (2013) benchmarking of transatlantic collaboration. Findings reveal that cross-continental partnerships significantly boost citation impact and that research topics moderate this relationship. The study highlights the importance of geographically diverse teams in tackling complex IS challenges and driving impactful scholarship.
Through the Theory of Comparative Advantage lens, the second study explores international collaboration in AI research and development (R&D) through a global dataset of AI patents (2009–2022). It assesses the geographic integration of foreign inventors and their contributions to patent citations. Results show that countries gain comparative advantages by specializing in specific AI technologies and leveraging strong legal frameworks, while firms enhance their competitiveness by accessing talent in regions with specialized expertise.
By applying Ricardo’s trade theory to contemporary technological contexts, this research underscores the transformative potential of global collaboration in information systems (IS) and artificial intelligence (AI). This dissertation enhances our understanding of how strategic global partnerships can fuel innovation and academic collaboration in these fields. It offers actionable insights for policymakers, academic institutions, and firms, proposing strategies to foster groundbreaking advancements.
Keywords
International collaboration, Scholarly collaboration, Patent data, Artificial intelligence, Innovation, R&D strategy, Offshore R&D, Structural topic modeling, Citation analysis, Theory of Comparative Advantage
Disciplines
Management Information Systems
License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Hansen, Kevin S., "THE EFFECT OF INTERNATIONAL COLLABORATION ON PERFORMANCE" (2024). Information Systems & Operations Management Dissertations. 76.
https://mavmatrix.uta.edu/infosystemsopmanage_dissertations/76