TY - GEN
T1 - Data-Driven Transformation in the Automotive Industry
T2 - 44th International Conference on Information Systems: Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies, ICIS 2023
AU - Micus, Christian
AU - Weber, Michael
AU - Böttcher, Timo Philip
AU - Böhm, Markus
AU - Krcmar, Helmut
N1 - Publisher Copyright:
Copyright © 2023 Christian Micus, Michael Weber, Timo Philip Böttcher, Markus Böhm, Helmut Krcmar.
PY - 2023
Y1 - 2023
N2 - Automotive manufacturers are pressured to integrate customers into product development effectively to foster innovation and remain competitive. While traditional approaches to customer integration have relied on market research and the customer’s intention to use, the digital transformation of the automotive industry increasingly enables manufacturers to leverage customer usage data for product development. However, we lack insights into how customer data influences automotive productive development. To close this gap, we investigated the role of customer usage data for product development at a leading car manufacturer. Drawing on 20 expert interviews, we derived three key dimensions that explain how customer usage data influence product development in automotive: “data-driven product evaluation,” “data-driven product development,” and “data-driven product innovations.” Our findings shed light on the transformative role of customer usage data for product development and provide valuable guidance for practitioners to effectively leverage customer usage data as part of the automotive digital transformation.
AB - Automotive manufacturers are pressured to integrate customers into product development effectively to foster innovation and remain competitive. While traditional approaches to customer integration have relied on market research and the customer’s intention to use, the digital transformation of the automotive industry increasingly enables manufacturers to leverage customer usage data for product development. However, we lack insights into how customer data influences automotive productive development. To close this gap, we investigated the role of customer usage data for product development at a leading car manufacturer. Drawing on 20 expert interviews, we derived three key dimensions that explain how customer usage data influence product development in automotive: “data-driven product evaluation,” “data-driven product development,” and “data-driven product innovations.” Our findings shed light on the transformative role of customer usage data for product development and provide valuable guidance for practitioners to effectively leverage customer usage data as part of the automotive digital transformation.
KW - Automotive Industry
KW - Customer Integration
KW - Customer Usage Data
KW - Data-driven Transformation
KW - Product Development
UR - http://www.scopus.com/inward/record.url?scp=85192549094&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85192549094
T3 - International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies"
BT - International Conference on Information Systems, ICIS 2023
PB - Association for Information Systems
Y2 - 10 December 2023 through 13 December 2023
ER -