The Role of Internationalization Strategy in Fostering Innovation: An Empirical Study Using Machine Learning Technique

Mayer, Pascal; Schäper, Thomas


Zusammenfassung

In today’s highly dynamic global market, firms increasingly conduct R&D internationally to enhance their innovation and competitiveness. We analyze the relationship between firm internationalization strategy and innovation performance. We argue that the relationship is inverse U-shaped, due to concave returns and convex costs of firm internationalization regarding innovation performance. We test our hypothesis using a novel machine-learning technique and develop a dictionary on internationalization, based on the most-cited papers on firm internationalization. We then apply this dictionary to firms’ 10-K annual reports to obtain a unique score of each firm’s internationalization strategy and use panel data econometrics to analyze the relationship with innovation performance. The results support the hypothesis of an inverted U-shape relationship between firms’ internationalization strategy and innovation performance. Further tests substantiate the findings. Our study contributes to the literature on firm internationalization and firm innovation by identifying a trade-off in benefits and costs of firm internationalization.

Schlüsselwörter
-



Publikationstyp
Forschungsartikel in Online-Sammlung (Konferenz)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2023

Konferenz
International Conference on Information Systems (ICIS) 2023

Konferenzort
Hyderabad

Buchtitel
Proceedings of the International Conference on Information Systems (ICIS) 2023

Herausgeber
ICIS

Ort
online

ISBN
978-1-958200-07-0

Gesamter Text