An Exploratory Analysis of a Hybrid OSS Company’s Forum in Search of Sales Leads

Myriam Munezero, Tero Kojo, Tomi Männistö

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review


—Background:Onlineforumsareinstrumentsthrough which information or problems are shared and discussed, including expressions of interests and intentions. Objective: In this paper, we present ongoing work aimed at analyzing the content of forum posts of a hybrid open source company that offers both free and commercial licenses, in order to help its community manager gain improved understanding of the forum discussions and sentiments and automatically discover new opportunities such as sales leads, i.e., people who are interested in buying a license. These leads can then be forwarded to the sales team for follow-up and can result in them potentially making a sale, thus increasing company revenue. Method: For the analysis of the forums, an untapped channel for sales leads by the company, text analysis techniques are utilized to identify potential sales leads and the discussion topics and sentiments in those leads. Results: Results of our preliminary work make a positive contribution in lessening the community manager’s work in understanding the sentiment and discussion topics in the hybrid open source forum community, as well as make it easier and faster to identify potential future customers. Conclusion: We believe that the results will positively contribute to improving the sales of licenses for the hybrid open source company
Titel på värdpublikationProceedings - 11th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2017 : 9-10 November 2017, Toronto, Ontario, Canada
Utgivningsdatum12 nov. 2017
ISBN (tryckt)978-1-5090-4040-7
ISBN (elektroniskt)978-1-5090-4039-1
StatusPublicerad - 12 nov. 2017
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangInternational Symposium on Empirical Software Engineering and Measurement - Toronto, Kanada
Varaktighet: 9 nov. 201710 nov. 2017
Konferensnummer: 11


  • 113 Data- och informationsvetenskap

Citera det här