Design path of innovation service through data and human intelligence

Ramseyer, Randolf (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Grézes, Vincent (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Bonazzi, Riccardo (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

This article describes a digital service for managers in charge of leveraging digital media to innovate firms in established businesses. Nowadays, companies can collect data from social media as well as sensors connected to Internet to monitor competitors, customer trends and performance of their own services. Therefore, we wish to extend this opportunity to a greater set of firms by developing a solution that can (1) be used by those with limited know-how in data science, (2) be applied to small datasets of structured and unstructured data and (3) include qualitative insights from relevant stakeholders, such as internal/external experts and customers. We combine the notions of (a) conceptual mapping to formalize root-causes of problems to solve and (b) TRIZ methodology to develop new ideas in a semi-automated way. We illustrate our approach with two fictive examples: (1) a manufacturing firm wishing to develop remote maintenance and (2) a company innovating its product by performing patent analysis.


Keywords:
Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG-VS
Subject(s):
Economie/gestion
Publisher:
Milano, Italy, 6-7 October 2017
Date:
Milano, Italy
6-7 October 2017
2017
Pagination:
12 p.
Published in:
Proceedings of ITAIS 2017
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2018-07-09, last modified 2019-08-19

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