IQUAL - Idea Quality for Successful Tech Scouting

Reference number 2018-04331
Coordinator Stockholms universitet - Institutionen för data och systemvetenskap
Funding from Vinnova SEK 456 164
Project duration November 2018 - November 2019
Status Ongoing
Venture Banbrytande idéer inom industriell utveckling
Call Banbrytande idéer inom industriell utveckling 2018

Purpose and goal

The purpose is to improve the generation of ideas and the evaluation of their quality by applying machine learning techniques that utilize openly available scientific literature, patent information, and data from social media. The goal is to design and evaluate a machine learning and visualization approach to increase companies´ ability to generate and evaluate internal and external ideas, in particular for tasks such as tech scouting, evaluation of startups and ideas generated by through digital innovation contests.

Expected results and effects

The proposed idea will contribute to the capabilities of Swedish tech and innovative companies by enabling them to become proactive seekers of new trends and ideas of high quality and future potential. The project idea contributes to both effect goals of the current Vinnova call. By using the proposed approach, companies will increase their competitiveness generating new ideas for how to utilize digital technology in new customer offerings, how to imbed digital technology in products and how to apply digital technology to create more sustainable and competitive business processes.

Planned approach and implementation

The project will be organized in six work packages following a design science approach (Peffers et al. 2007). The work packages consist of AP1. Preparation, AP2. Problem formulation, AP3. Method design, AP4. Demonstration, AP5. Evaluation and AP6. Reporting.

The project description has been provided by the project members themselves and the text has not been examined by our editors.