A deeper look at the collective intelligence phenomenon

klaus Solberg Söilen


For the upcoming conference on Intelligence Studies at ICI 2020 in Bad Nauheim, Germany the focus of this issue of JISIB is on collective intelligence and foresight. The first two papers by Søilen and Almedia and Lesca deal with collective intelligence from an intelligence studies perspective. It may be said that the Internet itself is a gigantic collective intelligence effort, the largest in human history. Open source is a prerequisite for this system to work for everyone. The article by Černý et al. is on open source. All other contributions are on the connection between the Internet, software and intelligence. This issue consists of seven articles to compensate for two articles that were taken out by editors in the last issue. The first article by Søilen entitled “Making sense of the collective intelligence field: a review” is a historical review of the field of collective intelligence. The paper shows how collective intelligence is an interdisciplinary field and argues there is a flaw in the notion of “wisdom of crowds”. Collective intelligence can be understood in terms of social systems theory and as such this approach has been fruitful for the social sciences, although so far not very popular. It also bares relevance for the study of business and economics. The second article by Almeida and Lesca is entitled “Collective intelligence process to interpret weak signals and early warnings”. Early warning and the detection of weak signals is a vital topic for any intelligence organization. Two aspects are discussed in the paper, the importance of new technology and collective sense making or interpretation The third article by Shaikh and Singhal entitled “Study on the various intellectual property management strategies used and implemented by ICT firms for business intelligence” deals with intellectual property rights and patenting strategies. The authors identify a number of defensive and offensive IP strategies applied to ICT companies. The results have a bearing on patent acquisitions. The fourth article by Lamrhari et al. is entitled “Web intelligence for understanding customer satisfaction: application of Latent Dirichlet Allocation (LDA) and the Kano model”. Customer satisfaction today is mostly measured with data from the internet, using different business intelligence techniques. The Kano model is still valuablei,ii, but the way we gather information to assess the different levels in the model has changed. The authors use Latent Dirichlet Allocation to analyze the voice of customer (VOC) in online reviews. They suggest that BI techniques and a fuzzy-Kano model can enable companies to better understand their customers’ online reviews. The fifth article by Nahili et al. is entitled “A new corpus-based convolutional neutral network for big data text analysis”. Companies need efficient ways to analyze everything that is said about them on the internet (reviews, comments). The paper suggests a convolutional neural network (CNN) as it has been successfully used for text classification. IMDB movie reviews and Reuters datasets were used for the experiment. The sixth article by Černý et al. is entitled “Using open data and google search data for competitive intelligence analysis”. Taking the Czech antidepressant market as an example, the authors show how competitive intelligence can be obtained using Google Search data, Google Trend and other OSINT sources. The seventh article by Dadkhah et al. is entitled “The potential of business intelligence tools for expert findings”. The paper suggests a way for researchers to find experts using business intelligence tools. The same method may also be used by any business or person looking for experts on a specific topic. As always, we would above all like to thank the authors for their contributions to this issue of JISIB. Thanks to Dr. Allison Perrigo for reviewing English grammar and helping with layout design for all articles and to the Swedish Research Council for continuous financial support.
We hope to see you all at the ICI 2020 on the 16-17 March, 2020. The deadline for the two-page abstract submission is March 1st, 2020.


Collective intelligence

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Søilen, K.S. (2019) How managers stay informed about the surrounding world. Journal of Intelligence Studies in Business. 9 (1) 28-35.

Lashgari, M., Sutton-Brady, C., Solberg Søilen, K., & Ulfvengren, P. (2018). Adoption strategies of social media in B2B firms: a multiple case study approach. Journal of Business & Industrial Marketing, 33(5), 730-743.

Tontini, G., & Söilen, K. S. (2017). Nonlinear antecedents of customer satisfaction and loyalty in third-party logistics services (3PL). Asia Pacific Journal of Marketing and Logistics, (just-accepted), http://www.emeraldinsight.com/doi/pdfplus/10.1108/APJML-09-2016-0173

Søilen, K. S. (2017). Why care about competitive intelligence and market intelligence? The case of Ericsson and the Swedish Cellulose Company. Journal of Intelligence Studies in Business, 7(2).

Söilen, K. S. (2017). Why the social sciences should be based in evolutionary theory: the example of geoeconomics and intelligence studies. Journal of Intelligence Studies in Business, 7(1).

Solberg Søilen, K. (2016). Economic and industrial espionage at the start of the 21st century–Status quaestionis. Journal of Intelligence Studies in Business, 6(3).

Solberg Søilen, K. (2016). Users’ perceptions of Data as a Service (DaaS). Journal of Intelligence Studies in Business, 6(2), 43-51.

Solberg Søilen, K. (2016). A research agenda for intelligence studies in business. Journal of Intelligence Studies in Business, 6(1), 21-36.

Gedda, David, Nilsson, Billy, Såthén, Zebastian and Solberg Søilen, Klaus (2016). Crowdfunding: Finding the optimal platform for funders and entrepreneurs. Technology Innovation Management Review, 6, 3, pp. 31-40

Solberg Søilen, Klaus (2015). A place for intelligence studies as a scientific discipline. Journal of Intelligence Studies in Business, Vol. 5, No 3, pp. 34-46.

Oubrich, Mourad, Aziza, Amine, Solberg Søilen, Klaus (2015). The impact of CRM on QoE: An exploratory study from mobile phone industry in Morocco. Journal of Intelligence Studies in Business, Vol 5, No 2, pp. 22-35.

Drozdz, Sebastian, Dufwa, Marcus, Meconnen, Robiel, Solberg Søilen, Klaus (2015). An assessment of Customer Shared Value in the restaurant industry. Theoretical and Applied Economics, No. 4, 605, pp. 85-98

Granquist, C., Strömberg, F., Solberg Søilen, K. (2015). Games as a marketing channel – the impact of players and spectators. International Journal of Electronic Business Management, Vol. 13, No. 1, pp. 57-65

Vriens, Dirk, Solberg Søilen, Klaus (2014). Disruptive Intelligence - How to gather Information to deal with disruptive innovations. Journal of Intelligence Studies in Business, Vol. 4, No 3, pp. 63-78

Solberg Søilen, Klaus (2014). A survey of users’ perspectives and preferences as to the value of JISIB – A spot-check. Journal of Intelligence Studies in Business, Vol. 4, No 2, pp. 61-65

Svensson, B., Frestad Solér, M. Solberg Søilen, K. (2014). Bara segrar

Tontini, G., Söilen, K. S., & Zanchett, R. (2017). Nonlinear antecedents of customer satisfaction and loyalty in third-party logistics services (3PL). Asia Pacific Journal of Marketing and Logistics, 29(5), 1116-1135.

Agostino, Alessandro, Solberg Søilen, Klaus, Gerritsen, Bart (2013). Cloud solution in Business Intelligence for SMEs –vendor and customer perspectives, Journal of Intelligence Studies in Business Vol 3, No 3, pp. 5-28

Solberg Søilen, K. (2013). An overview of articles on Competitive Intelligence in JCIM and CIR. Journal of Intelligence Studies in Business Vol 3, No 1, pp. 44-58.

Solberg Søilen, K., Jenster, P. (2013). The Relationship between Strategic Planning and Company Performance – A Chinese perspective. Journal of Intelligence Studies in Business, Vol 3, No 1, pp. 15-30.

Tontini, G., Solberg Søilen, K., Silveira, A. (2013). How interactions of service attributes affect customer satisfaction: A study of the Kano model’s attributes. Total Quality Management & Business Excellence, Volume 24, Issue 11-12, pages 1253-1271

Solberg Søilen, K., Nerme, P., Stemström, C., Darefelt, N. (2013). Usage of internet banking among different segments – trust and information needs. Journal of Internet Banking and Commerce, Vol 18, No 2, pp. 2-18

Fri, W., Pehrsson, T., Solberg Søilen, K. (2013). How the phases of cluster development are associated with innovation – the case of China. International Journal of Innovation Science, Vol. 5, Nr. 1, pp. 31-43.

Hansson, L., Wrangmo, A. Solberg Søilen, K. (2013). Optimal ways for companies to use Facebook as a marketing channel. Journal of Information, Communication and Ethics in Society. Vol. 11 Iss: 2, pp. 112 – 126.

Solberg Søilen, K., Tontini, G. (2013). Knowledge Management systems and Human Resource Management policies for Innovation benchmarking: a study at ST Ericsson. Internatinal Journal of Innovation Science, Vol 5, No 3, pp. 159-171

Yasmina, A., Solberg Søilen, K., Vriens, D. (2012). Using the SSAV model to evaluate Business Intelligence Software. Journal of Intelligence Studies in Business, Vol 2, No 1, pp. 29-40.

Solberg Søilen, K. Hasslinger, A. (2012). Factors shaping vendor differentiation in the Business Intelligence software industry. Journal of Intelligence Studies in Business, Vol 2, No 3, pp. 48-54.

Sabanovic, A., Solberg Søilen, K. (2012). Customers’ Expectations and Needs in the Business Intelligence Software Market. Journal of Intelligence Studies in Business, Vol 2, No 1, pp. 5-20.

Solberg Søilen, K. (2012). The Fallacy of the Service Economy. European Business Review, Vol 24, Iss: 4, pp. 308-319.

. Solberg Søilen, K. (Planned for 2020) Digital Marketing. Springer: Heidelberg/Berlin

Solberg Søilen, K. (2013). Exhibit Marketing & Trade Show Intelligence - Successful Boothmanship and Booth Design. Springer Verlag, Berlin

Solberg Søilen, K. (2012). Geoeconomics. Ventus Publishing ApS/Bookboon, London (50 000+ downloads per year)

Jenster, P., Solberg Søilen, K. (2009). Market Intelligence: Building Strategic Insight. Copenhagen Business School Press, Denmark

Solberg Søilen, K. and Huber, S. (2006). 20 svenska studier för små och medelstora företag – pedagogik och vetenskaplig metod. Studentlitteratur, Lund

Solberg Søilen, K. (2005). Introduction to Public and Private Intelligence. Studentlitteratur, Lund

Solberg Søilen, K. (2005). En liten bok i Logikk. Hvordan lære å tenke. GRIN Humanities, Norderstedt, Germany

Solberg Søilen, K. (2005). Wirtschaftsspionage in Verhandlungen aus Informationsökonomischer Perspektive - Eine Interdisziplinäre Analyse. Dissertation. Faculty of Economics/Wirtschaftswissenshaftlichen Fakultät Universität Leipzig, Germany

DOI: https://doi.org/10.37380/jisib.v9i2.472


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