Identification of the unique attributes and topics within Smart Things Open Innovation Communities

One of the main challenges of open innovation communities is how to create value from shared content either by selecting those ideas that are worthy of pursuit and implementation or by identifying the users' preferences and needs. These tasks can be done manually when there is an overseeable am...

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Bibliographic Details
Published inTechnological forecasting & social change Vol. 146; pp. 133 - 147
Main Authors Olmedilla, M., Send, H., Toral, S.L.
Format Journal Article
LanguageEnglish
Published New York Elsevier Inc 01.09.2019
Elsevier Science Ltd
Subjects
Co-occurrence analysis
Communities
Data mining
Innovations
Open communities
Open innovation
Software
Text mining
Unique attributes
Unique innovations
Websites
Text mining
Unique innovations
Co-occurrence analysis
Unique attributes
Open innovation
Open communities
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Summary:One of the main challenges of open innovation communities is how to create value from shared content either by selecting those ideas that are worthy of pursuit and implementation or by identifying the users' preferences and needs. These tasks can be done manually when there is an overseeable amount of content or by using computational tools when there are massive amounts of data. However, previous studies on text mining have not dealt with the identification of unique attributes, which can be defined as those contributions that are inextricably linked with a specific tag or category within open innovation websites. The uniqueness of these ideas means that they can only be obtained through a selection of one choice among several alternatives. To obtain such unique ideas and thus to also obtain innovations, this paper proposes a novel methodology called co-occurrence differential analysis. The proposed methodology combines traditional co-occurrence analysis with additional statistical processing to obtain the unique attributes and topics associated with different alternatives. The identification of unique content provides valuable information that can reveal the strengths and weaknesses of several options in a comparative fashion. •Definition of uniqueness of attributes when the number of classes is known a priori.•Application of co-occurrence differential analysis to the identification of unique attributes•Methodology for obtaining unique innovations within open innovation communities•Application to three different operating systems in SmartThings Community
ISSN:0040-1625
1873-5509
DOI:10.1016/j.techfore.2019.05.004