Pussep, Anton ; Schief, Markus ; Schmidt, Benedikt ; Friedrichs, Florian ; Buxmann, Peter (2012):
Topics in Software Industry Transformation Research: A Topic Analysis of Major IS Conferences.
In: Lecture Notes in Business Information Processing, 114, In: Software Business, pp. 128-140,
Springer-Verlag, International Conference on Software Business (ICSOB), Cambridge, USA, June 18-20, 2012, [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 ; Schief, Markus ; Schmidt, Benedikt ; Friedrichs, Florian ; 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. |
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| Journal or Publication Title: | Lecture Notes in Business Information Processing | ||||
| Book Title: | Software Business | ||||
| Series: | Lecture Notes in Business Information Processing | ||||
| Series 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 |
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| 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 | ||||
| URL / URN: | http://www.springer.com/computer/general+issues/book/978-3-6... | ||||
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