XIV Conference of the Italian Chapter of AIS
Organizing for Digital Economy: societies, communities and individuals

Doctoral Consortium Workshop

“Introduction to Qualitative Comparative Analysis (QCA)”

Chairs: Alicia Mas-Tur (University of Valencia) and Norat Roig Tierno (Valencian International Unversity)

The itAIS Doctoral Consortium is characterized by a specific focus on how ICT-enabled innovation can support scholarly work and the interactions within and across scholarly groups, institutions and communities.
In its 2017 edition, the itAIS DC Workshop will provide an overview on the growing importance of Qualitative Comparative Analysis (QCA) in the broad area of business, organization, management and information systems studies.
Studies based specifically on QCA have been published in top journals such as Academy of Management Journal, Organization Studies, Organization Research Methods, Journal of Business Research, and many others. Moreover, this approach is also growingly considered as highly complementary to other well-established research designs, such as statistical surveys or case studies, because QCA allows researchers to address complexity and generalizability issues at the same time, while enabling to investigate research questions implying asymmetric causal relationships and equifinality.
Participants in this Workshop will receive preliminary readings and fsQCA3.0 software to be installed on their laptops before starting the Workshop. The Workshop will be structured as a practical, hands-on series of exercises that will leverage the software to put the participants in the condition to start working on QCA-based research projects.

Interested in further information on QCA?

You can have a look here  for a brief introduction, and also read some exemplary papers leveraging QCA, such as:

  • Woodside, A. G. (2016). The good practices manifesto: Overcoming bad practices pervasive in current research in business. Journal of Business Research, Volume 69 (2), 365-381
  • Fiss, P. (2011). Building better causal theories: a fuzzy set approach to typologies in organization research. Academy of Management Journal, 54(2), 393–420.
  • Ordanini, A., Parasuraman, A., & Rubera, G. (2014). When the Recipe Is More Important Than the Ingredients: A Qualitative Comparative Analysis (QCA) of Service Innovation Configurations. Journal of Service Research, 17(2), 134–149.
  • Schneider, M. R., Schulze-Bentrop, C., & Paunescu, M. (2010). Mapping the institutional capital of high-tech firms: A fuzzy-set analysis of capitalist variety and export performance. Journal of International Business Studies, 41(2), 246-266.

Participation in this Workshop is free of charge for all doctoral students registered at the itAIS 2017 Doctoral Consortium, for all the participants registered at the itAIS 2017 Conference, and for the faculty from the hosting University (Università Milano Bicocca). In order to facilitate an effective organization of this event, please be so kind to communicate your intention to participate as soon as possible to: francesca.ricciardi@univr.it.