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Topics in Software Industry Transformation Research: A Topic Analysis of Major IS Conferences

Pussep, Anton and Schief, Markus and Schmidt, Benedikt and Friedrichs, Florian and Buxmann, Peter (2012):
Topics in Software Industry Transformation Research: A Topic Analysis of Major IS Conferences.
In: Software Business, Springer-Verlag, In: International Conference on Software Business (ICSOB), Cambridge, USA, June 18-20, 2012, In: Lecture Notes in Business Information Processing, [Online-Edition: http://www.springer.com/computer/general+issues/book/978-3-6...],
[Conference or Workshop Item]

Abstract

As the information load grows, it becomes increasingly difficult to follow-up new trends in business and management. However, new developments in technologies and markets pose threats and open up opportunities to firms. Especially the software business changes continuously and profoundly. It is therefore necessary for researchers and practitioners to follow up recent developments and to cope with the information overload. We suggest the application of a data mining technique in order to automatically identify topics: Latent Dirichlet Allocation (LDA). Using a sample of 13,799 publications from ICSOB and major conferences on Information Systems, we identify topics relevant to industry transformation research and review their development on a timescale. As proof of concept, we conduct a short case study using Green IT in order to demonstrate that topic analysis can yield relevant results for literature search beyond the results that can be obtained through a simple keyword search.

Item Type: Conference or Workshop Item
Erschienen: 2012
Creators: Pussep, Anton and Schief, Markus and Schmidt, Benedikt and Friedrichs, Florian and Buxmann, Peter
Title: Topics in Software Industry Transformation Research: A Topic Analysis of Major IS Conferences
Language: English
Abstract:

As the information load grows, it becomes increasingly difficult to follow-up new trends in business and management. However, new developments in technologies and markets pose threats and open up opportunities to firms. Especially the software business changes continuously and profoundly. It is therefore necessary for researchers and practitioners to follow up recent developments and to cope with the information overload. We suggest the application of a data mining technique in order to automatically identify topics: Latent Dirichlet Allocation (LDA). Using a sample of 13,799 publications from ICSOB and major conferences on Information Systems, we identify topics relevant to industry transformation research and review their development on a timescale. As proof of concept, we conduct a short case study using Green IT in order to demonstrate that topic analysis can yield relevant results for literature search beyond the results that can be obtained through a simple keyword search.

Journal or Publication Title: Lecture Notes in Business Information Processing
Title of Book: Software Business
Series Name: Lecture Notes in Business Information Processing
Volume: 114
Publisher: Springer-Verlag
Divisions: 01 Department of Law and Economics > Betriebswirtschaftliche Fachgebiete > Information Systems
01 Department of Law and Economics > Betriebswirtschaftliche Fachgebiete
01 Department of Law and Economics
Event Title: International Conference on Software Business (ICSOB)
Event Location: Cambridge, USA
Event Dates: June 18-20, 2012
Date Deposited: 18 Apr 2012 12:00
Official URL: http://www.springer.com/computer/general+issues/book/978-3-6...
Alternative keywords:
Alternative keywordsLanguage
topic analysis, latent dirichlet allocation, LDA, industry transformation, software industryEnglish
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