PhD Research Academy

AIS SIG DITE PhD Research Academy

In this series, senior scholars share practical tips and hands-on advice on their favorite types of research or research methods with interested PhD students and early-career researchers. Each session is split into a 30 minute presentation on the respective topic, followed by a maximum of 45 minutes of Q&A, where participants can ask clarifying questions, dive deeper into the presented topic, or discuss concrete studies or examples.

The sessions take place via Zoom, with the Zoom-Link being provided in advance via email and on this website.

Zoom-Link for the April-session: https://tu-darmstadt.zoom-x.de/j/69049521409?pwd=OGRmc3RVQ2VCQnFwbjVpSW5aYmNFUT09

 

Sign-up

To allow our speakers to prepare for specific questions or issues you are interested in in their respective field, please submit them to us via the following link:

https://forms.gle/YdrWJQUGzUeeZYqA9

By signing up, you will additionally receive session reminders with the corresponding Zoom-Link (which will also be posted on this website).

2024

Date Speaker Title Readings
Wednesday, 31 January, 9am-10:30 am ET

Aron Lindberg

Combining Qualitative and Computational Methods for Theory Construction

 Link

Thursday, 15 February, 9am-10:30 am ET

Cynthia Beath

Publishing IS Research in Practitioner Outlets

 Link

Tuesday, 12 March, 8am-9:30 am ET

Emmanuelle Vaast

Process theorizing

 Link

Tuesday, 16 April, 9am-10:30 am ET

Nick Berente

Computationally intensive theory construction

 Link

Tuesday, 21 May, 8am-09:30 am ET

Oliver Mueller

Natural Language Processing for IS Research

 

Tuesday, 18 June, 8 am - 9:30 am ET

Anastasia Sergeeva

Ethnography

 

Tuesday, 9 July, 8am-09:30 am ET

Stefan Seidel

Video Games as a Research Setting

 

August, TBD

Robert Gregory

Phenomenon-based Theorizing (Writing Theory Papers)

 

September, TBD

Shirley Gregor

Design Science Research in Information Systems

 

October, TBD

Youngjin Yoo

Theorizing digital innovations - Process of developing conceptual ideas

 

November, TBD

Hila Lifshitz Assaf

Pitfalls and advantages of case study research: When is it worth going to the wild?

 

 

Readings

January - Aron Lindberg: Combining Qualitative and Computational Methods for Theory Construction

Presentation slides: Link

Lindberg, A. 2020. “Developing Theory through Integrating Human & Machine Pattern Recognition,” Journal of the Association for Information Systems (21:1), pp. 90–116.

Lindberg, A. 2023. “Analysis Chaining: Conceptual and Empirical Framing of Digital Traces,” in Handbook of Qualitative Research Methods for Information Systems, R. Davison (ed.), pp. 360–375.

Gaskin, J., Berente, N., Lyytinen, K., and Yoo, Y. 2014. “Toward Generalizable Sociomaterial Inquiry: A Computational Approach for Zooming In and Out of Sociomaterial Routines,” MIS Quarterly (38:3), pp. 849–871.

Markus, M. L., and Rowe, F. 2018. “Is IT Changing the World? Conceptions of Causality for Information Systems Theorizing,” Management Information Systems Quarterly (42:4), pp. 1255–1280. (https://doi.org/10.25300/MISQ/2018/12903).

Davis, M. S. 1971. “That’s Interesting!: Towards a Phenomenology of Sociology and a Sociology of Phenomenology,” Philosophy of the Social Sciences (1:2), pp. 309–344. (https://doi.org/10.1177/004839317100100211).

Grover, V., Lindberg, A., Benbasat, I., Lyytinen, K., Banbasat, I., and Lyytinen, K. 2020. “The Perils and Promises of Big Data Research in Information Systems,” Journal of the Association for Information Systems (21:2), pp. 268–291.

Some example papers combining qualitative and computational methods:

Rivard, S., and Lapointe, L. 2012. “INFORMATION TECHNOLOGY IMPLEMENTERS’ RESPONSES TO USER RESISTANCE: NATURE AND EFFECTS,” MIS Quarterly (36:3), pp. 897–920.

Howison, J., and Crowston, K. 2014. “Collaboration Through Open Superposition: A Theory of the Open Source Way,” MIS Quarterly (38:1), pp. 29–50.

Marino, A., Aversa, P., Mesquita, L., and Anand, J. 2015. “Driving Performance via Exploration in Changing Environments: Evidence from Formula One Racing,” Organization Science (26:4), pp. 1079–1100.

Lindberg, Berente, Howison, and Lyytinen (Forthcoming), Discursive Modulation in Open Source Software: How Communities Shape Novelty and Complexity, MIS Quarterly

Lindberg, Schecter, Berente, Lyytinen, and Hennel (Forthcoming), The Entrainment of Task Allocation and Release Cycles in Open Source Software Development, MIS Quarterly

Lindberg, A., Majchrzak, A., and Malhotra, A. 2022. “How Information Shared After an Idea May Shape New High-Quality Ideas in Online Ideation Contests,” MIS Quarterly (46:2), pp. 1195–2022. (https://doi.org/10.25300/MISQ/2022/15706).

Lindberg, A., Berente, N., Gaskin, J., and Lyytinen, K. 2016. “Coordinating Interdependencies in Online Communities: A Study of an Open Source Software Project,” Information Systems Research (27:4), pp. 751–772.

Vaast, E., Safadi, H., Lapointe, L., and Negoita, B. 2017. “Social Media Affordances for Connective Action: An Examination of Microblogging Use During the Gulf of Mexico Oil Spill,” MIS Quarterly (41:4), pp. 1179–1205.

Miranda, S. M., Kim, I., and Summers, J. D. 2015. “Jamming with Social Media: How Cognitive Structuring of Organizing Vision Facets Affects IT Innovation Diffusion,” MIS Quarterly (39:3), pp. 591–614. (https://doi.org/10.25300/MISQ/2015/39.3.04).

Miranda, S. M., Wang, D., and Tian, C. (Forthcoming). “Discursive Fields and the Diversity-Coherence Paradox: An Ecological Perspective on the Blockchain Community Discourse,” MIS Quarterly.

Leonardi, P. 2013. “When Does Technology Use Enable Network Change In Organizations? A Comparative Study of Feature Use and Shared Affordances,” MIS Quarterly (37:3), pp. 749–775.

Leonardi, P. 2007. “Activating the Informational Capabilities of Information Technology for Organizational Change,” Organization Science (18:5), pp. 813–831.

February - Cynthia Beath: Publishing IS Research in Practitioner Outlets

Presentation slides: Link

I’d like to recommend that the participants look at the “instructions to authors” pages for the following outlets:

Harvard Business Review: https://hbr.org/guidelines-for-authors

Sloan Management Review: https://sloanreview.mit.edu/authors/

MISQ Executive: https://aisel.aisnet.org/misqe/reviewprocess.html (see especially the Review Criteria)

California Management Review: https://cmr.berkeley.edu/resources/submit/ (see especially the Content Guidelines) 

March - Emmanuelle Vaast: Process Theorizing

Vaast, E., & Pinsonneault, A. (2021). When Digital Technologies Enable and Threaten Occupational Identity: The Delicate Balancing Act of Data Scientists. MIS Quarterly, 45(3).

Pentland, B., Vaast, E., & Wolf, J. R. (2021). Theorizing process dynamics with directed graphs: A diachronic analysis of digital trace data. MIS Quarterly, 45(2).

April - Nick Berente: Computationally Intensive Theory Construction

Presentation slides: Link

If you only read one paper, read the following:

Miranda, S., Berente, N., Seidel, S., Safadi, H., & Burton-Jones, A. (2022). Editor's comments: Computationally intensive theory construction: A primer for authors and reviewers. MIS Quarterly, 46(2), iii-xviii.

A recent example:

Lindberg, A., Schecter, A., Berente, N., Hennel, P., & Lyytinen, K. (2024). The Entrainment of Task Allocation and Release Cycles in Open Source Software Development. MIS Quarterly, 48(1), 67-94.

Background:

Berente, N., Seidel, S., Safadi, H. (2019). Research Commentary—Data-Driven Computationally Intensive Theory
Development. Information Systems Research, 30(1), 50-64.