To stay competitive, automotive manufacturers need to foster product and business model innovation. Key to this is a tight integration of customers into product and business model development. Current approaches to customer integration are mostly based on market research that only considers customers' intention to use. These approaches neglect the potential of actual usage data for guiding the cost-intensive product and business model development. This paper develops a method to utilize customer usage data to determine parking scenarios that can guide automotive manufacturers to develop customer value-oriented parking assistance functions. The approach was evaluated on 22 million parking global positioning system (GPS) positions in Germany. Our findings help classify different types of parking behavior that automotive manufacturers can use to allocate development resources for parking assistance functions and minimize parking search traffic by providing live forecasts of on-street parking utilization and peak periods. This also enables future on-demand business models.
Micus, Christian; Smeets, Jasper; Böhm, Markus; and Krcmar, Helmut, "Customer Integration in Product Development using Big Data: An Example of using Fleet Data to determine Parking Behavior" (2022). PACIS 2022 Proceedings. 160.
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