Abstract
The aim of this thesis is to show how social media analytics facilitates the identification of lead users among members of an online forum. Our research summarizes and discusses literature from the areas of lead user research and social media analytics and combines both streams of research to analyze user behavior on social media platforms. We describe different computer-aided methods to identify individuals that possess the specific lead user characteristics ‘ahead of trend’, ‘dissatisfaction’, ‘involvement’, ‘opinion leadership’ and ‘product-related knowledge and expertise’. In triangulating our findings with the result of a mass screening search we could enhance the validity of our approach.
| Educations | MSc in Management of Innovation and Business Development, (Graduate Programme) Final ThesisMSc in Business Administration and Information Systems, (Graduate Programme) Final Thesis |
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| Language | English |
| Publication date | 2016 |
| Number of pages | 142 |
| Supervisors | Daniel Hardt |