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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References
Lieberman, M.B., Montgomery, D.B.: First-mover advantages. Strategic Management Journal 9, 41–58 (1988)
Katz, M.L., Shapiro, C.: Network Externalities, Competition, and Compatibility. American Economic Review 75, 424–440 (1985)
Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proceedings of the National Academy of Sciences of the United States of America 101, 5228 (2004)
Blei, D.M., Lafferty, J.D.: Dynamic topic models, pp. 113–120 (2006)
Wang, X., McCallum, A.: Topics over time: a non-Markov continuous-time model of topical trends, pp. 424–433 (2006)
Wang, X., Mohanty, N., McCallum, A.: Group and topic discovery from relations and text, pp. 28–35 (2005)
Schmidt, B., Stoitsev, T., Mühlhäuser, M.: Analysis of Knowledge Work Execution at Computer Workplaces. In: Proceedings of 12th European Conference on Knowledge Management (2011)
Ramage, D., Rosen, E., Chuang, J., Manning, C.D., McFarland, D.A.: Topic modeling for the social sciences (2009)
Berger, A.N., Kashyap, A.K., Scalise, J.M., Gertler, M., Friedman, B.M.: The transformation of the US banking industry: What a long, strange trip it’s been. Brookings Papers on Economic Activity, 55–218 (1995)
De Vany, A., David Walls, W.: Natural gas industry transformation, competitive institutions and the role of regulation: Lessons from open access in US natural gas markets. Energy policy 22, 755–763 (1994)
Dennis, D., Meredith, J.: An empirical analysis of process industry transformation systems. Management Science, 1085–1099 (2000)
Messerschmitt, D.G., Szyperski, C.: Software Ecosystem. MIT Press, Cambridge (2003)
Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. The Journal of Machine Learning Research 3, 993–1022 (2003)
Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. Journal of the American Society for Information Science 41, 391–407 (1990)
Heinrich, G.: Parameter estimation for text analysis. Fraunhofer Technology Report (2009)
Steyvers, M., Griffiths, T.: Probabilistic topic models. Handbook of Latent Semantic Analysis 427, 424–440 (2007)
Kranz, J., Picot, A.: Why Are Consumers Going Green? the Role of Environmental Concerns in Private Green-is Adoption. In: Proceedings of ECIS 2011 (2011)
Yang, C.-L., Wen, W.W.: Solving the Traffic Problem by Using A Simulation Model. In: Proceedings of CONF-IRM 2008 (2008)
Molla, A., Cooper, V.A., Pittayachawan, S.: IT and Eco-sustainability: Developing and Validating a Green IT Readiness Model. In: Proceedings of ICIS 2009 (2009)
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Pussep, A., Schief, M., Schmidt, B., Friedrichs, F., Buxmann, P. (2012). Topics in Software Industry Transformation Research: A Topic Analysis of Major IS Conferences. In: Cusumano, M.A., Iyer, B., Venkatraman, N. (eds) Software Business. ICSOB 2012. Lecture Notes in Business Information Processing, vol 114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30746-1_11
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DOI: https://doi.org/10.1007/978-3-642-30746-1_11
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