Next Article in Journal
Citrus and Winery Wastes: Promising Dietary Supplements for Sustainable Ruminant Animal Nutrition, Health, Production, and Meat Quality
Previous Article in Journal
Antecedent and Consequences of Psychological Capital of Entrepreneurs
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Sustainability 2018, 10(10), 3710; https://doi.org/10.3390/su10103710

Capturing the Bigger Picture? Applying Text Analytics to Foster Open Innovation Processes for Sustainability-Oriented Innovation

1
Corporate Sustainability Management, Friedrich-Alexander University Erlangen-Nürnberg, Findelgasse 7, 90402 Nuremberg, Germany
2
Business Information Systems I, Chemnitz University of Technology, Thüringer Weg 7, 09126 Chemnitz, Germany
3
Information Systems—Innovation and Value Creation, Friedrich-Alexander University Erlangen-Nürnberg, Lange Gasse 20, 90403 Nuremberg, Germany
*
Author to whom correspondence should be addressed.
Received: 13 August 2018 / Revised: 10 October 2018 / Accepted: 11 October 2018 / Published: 16 October 2018
Full-Text   |   PDF [2252 KB, uploaded 16 October 2018]   |  

Abstract

In open innovation initiatives for sustainability-oriented innovations, it is indispensable to have a wide array of engaging stakeholders. Yet, as not all relevant actors are able or willing to participate, important opinions can go unnoticed. Due to such stakeholder selection effects, aspects of high relevance may remain uncaptured. To address this issue, we first define the concept of silent stakeholders and relate it to sustainability-oriented innovations. We then discuss the new approach of employing analytical methods to examine existing sources outside the innovation process for silent stakeholder opinions. For this purpose, we conduct an action research study demonstrating how to examine broad discourse data with text analytics for an open innovation project aiming to create a sustainability-oriented innovation. To this end, we develop an approach for the efficient integration of external sources in open innovation processes. We find that text analytics of broad discourse data can particularly support the orientation and idea generation phase for sustainability-oriented innovation. Furthermore, we identify possibilities for the application of further data mining methods to complement open innovation approaches along the innovation process. Building on that, we propose an integrated framework. Hence, we add to the literature on stakeholder participation, analytical methods and innovation management, as well as sustainability-oriented innovation. View Full-Text
Keywords: sustainability-oriented innovation; open innovation; text analytics; data mining; discourse data; silent stakeholder; action research sustainability-oriented innovation; open innovation; text analytics; data mining; discourse data; silent stakeholder; action research
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Wehnert, P.; Kollwitz, C.; Daiberl, C.; Dinter, B.; Beckmann, M. Capturing the Bigger Picture? Applying Text Analytics to Foster Open Innovation Processes for Sustainability-Oriented Innovation. Sustainability 2018, 10, 3710.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top