Content analysis of open innovation communities using latent semantic indexing

Open innovation (OI) represents an emergent paradigm by which customers and users are involved as part of the innovation processes of organisations. One of its most popular implementation schemes is OI communities, which have been popularised by the use of social software. Through these communities, users are free to post, share, comment and evaluate other users' ideas, and they can interact with other users as well as with the innovation department and experts of the organisation. One of the challenges of OI communities is distinguishing the most innovative ideas, as they receive hundreds or even thousands of ideas. This paper proposes a novel approach for this task consisting of analysing the content of shared ideas. Through this analysis, several conclusions about the decision processes of the organisation can be inferred. The obtained results can help OI managers to improve ideas evaluation processes.

[1]  Riccardo Bonazzi,et al.  Online Communities and Open Innovation: The Solar System Metaphor , 2013, Int. J. E Serv. Mob. Appl..

[2]  Remco C. de Boer,et al.  Constructing a Reading Guide for Software Product Audits , 2007, 2007 Working IEEE/IFIP Conference on Software Architecture (WICSA'07).

[3]  Shlomo Moran,et al.  Optimal implementations of UPGMA and other common clustering algorithms , 2007, Inf. Process. Lett..

[4]  M. Rocío Martínez-Torres,et al.  A genetic search of patterns of behaviour in OSS communities , 2012, Expert Syst. Appl..

[5]  Scott H. Decker,et al.  The Ties That Bind , 2014 .

[6]  Sergio L. Toral Marín,et al.  Electronic word-of-mouth communities from the perspective of social network analysis , 2014, Technol. Anal. Strateg. Manag..

[7]  Teresa M. Amabile,et al.  Affect and Creativity at Work , 2005 .

[8]  E. von Hippel,et al.  Sources of Innovation , 2016 .

[9]  J. Leon Zhao,et al.  Automatic discovery of similarity relationships through Web mining , 2003, Decis. Support Syst..

[10]  Peter E. Harland,et al.  Solving the matchmaking dilemma between companies and external idea contributors , 2014, Technol. Anal. Strateg. Manag..

[11]  Gene H. Golub,et al.  Matrix computations , 1983 .

[12]  Vladi Finotto,et al.  Communities of Consumption and Made in Italy , 2008 .

[13]  Cliff Lampe,et al.  The ties that bind: Social network principles in online communities , 2009, Decis. Support Syst..

[14]  Tomas Klos,et al.  Knowledge discovery in virtual community texts: Clustering virtual communities , 2003, J. Intell. Fuzzy Syst..

[15]  E. Huizingh.  Open innovation: State of the art and future perspectives , 2011 .

[16]  Hsin-Chang Yang,et al.  Construction of supervised and unsupervised learning systems for multilingual text categorization , 2009, Expert Syst. Appl..

[17]  S. Mazzocchi.  Open Innovation: The New Imperative For Creating and Profiting From Technology , 2004 .

[18]  Remco C. de Boer,et al.  Constructing a Reading Guide for Software Product Audits , 2007, 2007 Working IEEE/IFIP Conference on Software Architecture (WICSA'07).

[19]  S. L. Toral,et al.  An electronic engineering curriculum design based on concept-mapping techniques , 2007 .

[20]  Manuel R. Arahal,et al.  Current paradigms in intelligent transportation systems , 2010 .

[21]  Paul Michael Di Gangi,et al.  Steal my idea! Organizational adoption of user innovations from a user innovation community: A case study of Dell IdeaStorm , 2009, Decis. Support Syst..

[22]  Dirk S. Hovorka,et al.  Analyzing unstructured text data: Using latent categorization to identify intellectual communities in information systems , 2008, Decis. Support Syst..

[23]  Sergio L. Toral Marín,et al.  Modelling Mailing List Behaviour in Open Source Projects: the Case of ARM Embedded Linux , 2009, J. Univers. Comput. Sci..

[24]  M. Rocío Martínez-Torres,et al.  Analysis of open innovation communities from the perspective of social network analysis , 2014, Technol. Anal. Strateg. Manag..

[25]  Sergio L. Toral Marín,et al.  Analysis of virtual communities supporting OSS projects using social network analysis , 2010, Inf. Softw. Technol..

[27]  T. Minshall,et al.  How do large multinational companies implement open innovation , 2011 .

[28]  Per Jambeck,et al.  Developing Bioinformatics Computer Skills , 2001 .

[29]  Sergio L. Toral Marìn,et al.  Planning a Master’s Level Curriculum According to Career Space Recommendations Using Concept Mapping Techniques , 2006 .

[30]  Henry Chesbrough,et al.  Open Innovation: The New Imperative for Creating and Profiting from Technology , 2003 .

[31]  M. Rocío Martínez-Torres,et al.  Application of evolutionary computation techniques for the identification of innovators in open innovation communities , 2013, Expert Syst. Appl..

[32]  T. Landauer,et al.  Indexing by Latent Semantic Analysis , 1990 .

[33]  Abdolreza Mirzaei,et al.  A hierarchical clusterer ensemble method based on boosting theory , 2013, Knowl. Based Syst..

[34]  Marcus M. Keupp,et al.  Determinants and Archetype Users of Open Innovation , 2009 .

[35]  Joon Koh,et al.  Knowledge sharing in virtual communities: an e-business perspective , 2004, Expert Syst. Appl..

[36]  Sergio L. Toral Marín,et al.  A text categorisation tool for open source communities based on semantic analysis , 2013, Behav. Inf. Technol..

[37]  ChengXiang Zhai,et al.  Statistical Language Models for Information Retrieval , 2008, NAACL.

[38]  Lars Bo Jeppesen,et al.  Consumers as Co-developers: Learning and Innovation Outside the Firm , 2003, Technol. Anal. Strateg. Manag..

[39]  Jiawei Han,et al.  Document clustering using locality preserving indexing , 2005, IEEE Transactions on Knowledge and Data Engineering.

[40]  Anjo Anjewierden,et al.  Examining the relation between domain-related communication and collaborative inquiry learning , 2009, Comput. Educ..

[41]  T. Ginossar.  Online Participation: A Content Analysis of Differences in Utilization of Two Online Cancer Communities by Men and Women, Patients and Family Members , 2008, Health communication.