Published: Detecting Innovation Signals with Technology-Enhanced Social Media Analysis – Experiences with a hybrid approach in three branches (IJSR)

The summary of our experiences from “Innovation Signals” are published now:

Online communities are seen as valuable knowledge source about customers’ needs and interests. Innovation research also tries to analyze content from online communities to detect signals for future innovations. Within this contribution the theory of signals for future developments, existing approaches are introduced.

Building upon this introduction, we describe the Austrian research project “Innovation Signals” that aims to develop and implement a technology-enhanced analysis of signals for future developments by analyzing user-generated content from selected online communities. Besides automatic data extraction and statistics the approach tries to make sense through structured content analysis. Therefore, the approach combined so-called qualitative research with quantitative research, as well as automatic monitoring and analysis with manual social research.

Part of this research project was the identification of innovation signals for three companies from different fields/branches (sport, energy, and mobility). Within this contribution we describe and reflect on our experiences within these settings and on additional findings based on the project. These are guidelines for social media mining and a comparison of existing approaches of technology-usages for weak signal detection. The authors also discuss practical implications derived from their experiences, as well as future opportunities for further research.

The project plan:

project_plan

  • Eckhoff, Robert; Frank, Jakob; Markus, Mark; Lassnig, Markus; & Schön, Sandra (2015). Detecting Innovation Signals with Technology-Enhanced Social Media Analysis –
    Experiences with a hybrid approach in three branches. In: International Journal of Innovation and Scientific Research, Volume 17, Issue 1, August 2015, Pages 120–130 URL: http://ijisr.issr-journals.org/abstract.php?article=IJISR-15-065-09

Big Surprise for “No Suprise” Paper!

Some weeks ago I got a really big surprise: Our paper  “No Outstanding Surprises when Using Social Media as Source for Weak Signals?” at the ICDS IARIA conference 2015 got the conference award as a best paper

Bildschirmfoto 2015-04-13 um 10.09.43

Crazy stuff: One paper. 101 authors.

No, it wasn’t me :D – I was not my idea, neither Martin’s. But of course we did not hesitate when we were asked to co-author a paper with 100 authors (from all over the world). The crazy person who organize this all is Abdul Al Lily. He is currently the guy that collects, edits, etc. all comments to our second version of the paper. YES, THIS IS NO JOKE. I really appreciate his idea and hope he will get through all of this. And I am looking forward to the paper (and hope that it will be accepted :D – and: cited! with all names! :D)

 

Slides: Guidelines for social media mining for innovation purposes

The slides of the presentation are online: Guidelines for social media mining for innovation purposes.

Slides: No Outstanding Surprises when Using Social Media as Source for Weak Signals Detection

The slides of the presentation “No Outstanding Surprises when Using Social Media as Source for Weak Signals Detection?” are online now.

Presentation: Why weak signals detection does not surprise

Today another sneak preview: Markus Lassnig will present a short paper about the surprise potential of weak signals detection (today, again in Portugal).

nosurprises_engl

  • Eckhoff, Robert; Markus, Mark; Lassnig, Markus; Schön, Sandra (2015): No outstanding surprises when using Social Media as source for weak signals? First attempt to discuss the impact of social media sources to detect surprising weak signals. Proceedings of The Ninth International Conference on Digital Society (ICDS) in Lisbon, Portugal.

Presentation: Guidelines for Social Media Mining for Innovation Purposes

Today my colleague Markus Lassnig will present a paper with (our) guideslines for Social Media Mining for Innovation Purposes. The essence is already available here as sneak preview. ;) guidelines_smm_engl

  • Eckhoff, Robert; Markus, Mark; Lassnig, Markus; and Schön, Sandra (2015). Guidelines for social media mining for innovation purposes. Experiences and recommendations from literature and practice. Proceedings of eKNOW 2015, The Seventh International Conference on Information, Process, and Knowledge Management, February 22 – 27, 2015 – Lisbon, Portugal.
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