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

Pussep, Anton ; Schief, Markus ; Schmidt, Benedikt ; Friedrichs, Florian ; Buxmann, Peter (2012)
Topics in Software Industry Transformation Research: A Topic Analysis of Major IS Conferences.
International Conference on Software Business (ICSOB). Cambridge, USA (June 18-20, 2012)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2012
Autor(en): Pussep, Anton ; Schief, Markus ; Schmidt, Benedikt ; Friedrichs, Florian ; Buxmann, Peter
Art des Eintrags: Bibliographie
Titel: Topics in Software Industry Transformation Research: A Topic Analysis of Major IS Conferences
Sprache: Englisch
Publikationsjahr: 18 Juni 2012
Verlag: Springer-Verlag
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Lecture Notes in Business Information Processing
Buchtitel: Software Business
Reihe: Lecture Notes in Business Information Processing
Band einer Reihe: 114
Veranstaltungstitel: International Conference on Software Business (ICSOB)
Veranstaltungsort: Cambridge, USA
Veranstaltungsdatum: June 18-20, 2012
URL / URN: http://www.springer.com/computer/general+issues/book/978-3-6...
Kurzbeschreibung (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.

Schlagworte:
Einzelne SchlagworteSprache
topic analysis, latent dirichlet allocation, LDA, industry transformation, software industryEnglisch
Fachbereich(e)/-gebiet(e): 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Wirtschaftsinformatik
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete
01 Fachbereich Rechts- und Wirtschaftswissenschaften
Hinterlegungsdatum: 18 Apr 2012 12:00
Letzte Änderung: 05 Mär 2013 10:00
PPN:
Schlagworte:
Einzelne SchlagworteSprache
topic analysis, latent dirichlet allocation, LDA, industry transformation, software industryEnglisch
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