Decoding the Mindset: A Neural Network Approach for Analyzing CEO’s Digital Strategy and Its Innovation Implications

Schäper, Thomas; Maibaum, Frederik; Schulz, Colin; Foege, Johann Nils

Forschungsartikel in Online-Sammlung (Konferenz) | Peer reviewed

Zusammenfassung

The swift advancement of digital technologies demands CEOs to prioritize digital innovation strategies to stay competitive. However, an overemphasis on digitality, neglecting aspects like customer focus, operations, and collaboration, can hinder innovation. Using a neural network, we evaluated CEOs’ digital strategies by training on 1,000 company pitches and applying this to S&P 500 CEOs' Shareholder Letters (2001-2018). We discovered an inverted U relationship between digital strategy intensity and innovation performance. This stresses the need for a balanced strategy with the right digital focus. Our research illuminates top executives' digital mindset in driving innovation, emphasizing the potential pitfalls of a purely digital approach. Furthermore, our machine-learning method offers a novel, scalable way to quantify digital strategy, paving the way for subsequent research.

Details zur Publikation

Name des RepositoriumsAIS eLibrary
Artikelnummer2107
StatusVeröffentlicht
Veröffentlichungsjahr2023
KonferenzInternational Conference on Information Systems (ICIS) 2023, Hyderabad, Indien
Link zum Volltexthttps://aisel.aisnet.org/icis2023/diginnoventren/diginnoventren/10/
StichwörterDigital Innovation

Autor*innen der Universität Münster

Foege, Johann Nils
Professur für Innovation, Strategie und Organisation (Prof. Foege)
Maibaum, Frederik
Professur für Innovation, Strategie und Organisation (Prof. Foege)
Schulz, Colin
Professur für Entrepreneurship (Prof. Bendig)