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Aleksi Aaltonen

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Aleksi Aaltonen

  • Fox School of Business and Management

    • Management Information Systems

      • Assistant Professor

Courses Taught

Number

Name

Level

MIS 0855

Data Science

Undergraduate

Selected Publications

Recent

  • Aaltonen, V.A. (2021). Graphing the Empirical Research Process.

  • Aaltonen, V.A. (2021). Rejecting and Retaining New Contributors in Open Knowledge Collaboration: A Natural Experiment in Stack Overflow.

  • (2021). Data and Value. University of Oslo.

  • Aaltonen, A., Alaimo, C., & Kallinikos, J. (2021). The Making of Data Commodities: Data Analytics as an Embedded Process. Journal of Management Information Systems, 38(2), 401-429. doi: 10.1080/07421222.2021.1912928.

  • Aaltonen, V.A. (2021). What Makes Data Possible? A Sociotechnical View on Structured Data Innovations.

  • Aaltonen, A. & Penttinen, E. (2021). What makes data possible? A sociotechnical view on structured data innovations. Proceedings of the Annual Hawaii International Conference on System Sciences, 2020-January, 5922-5931.

  • (2021). The Making of Data Commodities: Data Analytics as an Embedded Process.

  • Masiero, S. & Aaltonen, A. (2020). Gender Bias in Information Systems Research: A Literature Review.

  • Aaltonen, V.A. Working in the Analytical Cage: The Decline of Transformative Agency in the Age of Datification. The Future of Digital Work: The Challenge of Inequality.

  • Aaltonen, V.A. Rejecting and Retaining New Contributors in Open Knowledge Collaboration: A Natural Experiment in Stack Overflow Q&A Service. Association for Information Systems (AIS), 28th European Conference on Information Systems (ECIS).

  • Aaltonen, V.A. (2020). Theorizing Information Systems Generativity. Loughborough, UK.

  • Aaltonen, V.A. (2020). Big Data, Analytics and the Rise of Con-figuration Work. London, UK.

  • Aaltonen, V.A. (2020). Big Data, Analytics and the Rise of Con-figuration Work. London, UK.

  • Aaltonen, V.A. (2020). Theorizing Information Systems Generativity. London, UK.

  • Kang, C., Aaltonen, A., & Henfridsson, O. (2020). The impact of platform entry strategies on the quality of complements in multihoming. 40th International Conference on Information Systems, ICIS 2019.

  • Alaimo, C., Kallinikos, J., & Aaltonen, A. (2020). Data and value. In Handbook of Digital Innovation (pp. 162-178). doi: 10.4337/9781788119986.00022.

  • Kumar, S., Vorotyntseva, Y., Pavlou, P., & Aaltonen, A. (2019). Spillover Effect of Hosting “Bad” Online Reviews: An Empirical Investigation. Munich, Germany.

  • Aaltonen, V.A. (2019). Big Data, Analytics and the Rise of Con-figuration Work. Munich, Germany.

  • Shi, R., Aaltonen, A., & Henfridsson, O. (2019). Seeding for quality of platform complements: Evidence from amazon's alexa ecosystem. Proceedings of the 23rd Pacific Asia Conference on Information Systems: Secure ICT Platform for the 4th Industrial Revolution, PACIS 2019.

  • Stelmaszak, M. & Aaltonen, V.A. (2018). Toward a Bidirectional View of Causality in Big Data Analytics: The Case of Learning Analytics. Academy of Management, University of Surrey, UK.

  • Stelmaszak, M. & Aaltonen, A. (2018). Closing the loop of big data analytics: The case of learning analytics. 26th European Conference on Information Systems: Beyond Digitization - Facets of Socio-Technical Change, ECIS 2018.