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Call for Participation 

Workshop on Fuzzy Set Qualitative Comparative Analysis (fsQCA) for Marketing and IS Research

Date: Wednesday 11 July 2018
Time: 10:00-16:00

Location: Room #SoM247 and PC Lab, School of Management, Swansea University Bay Campus, Fabian Way, Swansea, SA1 8EN, Wales, UK

Presenter:

Dr Ilias O. Pappas
Department of Computer Science
Norwegian University of Science and Technology, Trondheim, Norway
Email: ilpappas@ntnu.no  

Organisers:

Dr Nripendra P Rana, Dr Hatice Kizgin and Professor Yogesh K Dwivedi
Emerging Markets Research Centre (EMaRC)
School of Management, Swansea University, Bay Campus, Wales, UK
Email: n.p.rana@swansea.ac.uk; hatice.kizgin@swansea.ac.uk; y.k.dwivedi@swansea.ac.uk;

Dr Emma L. Slade
School of Economics, Finance and Management, University of Bristol, UK
Email: emma.slade@bristol.ac.uk

The goal of this workshop is to provide an introduction to a relatively new method of data analysis, along with a different way of thinking, as well as step-by-step guidance on how to apply it in Marketing and IS research. Methodology is essential, as it not only defines how we study a phenomenon, but also affects how we think about it (Bagozzi, 2007). We will discuss why and how theory construction and data analysis need to evolve and move from symmetric thinking to follow algorithm and asymmetric alternative paradigms.

FsQCA has received increased attention recently because, when it is applied together with complexity theory, researchers have the opportunity to gain deeper and richer perspectives on different data and analytics (Ordanini et al., 2014; Pappas et al., 2016; Pappas et al., 2017a,b; Woodside, 2014). A great number of studies in the area follow the well examined models of technology acceptance and adoption (see Dwivedi et al. 2017 for meta-analysis and Venkatesh et al. 2014 for review of existing work relating to one of such theories). We answer to the need to extend and evolve technology acceptance theories and models to better capture real-life phenomena, which are by definition complex and multi-dimensional (Benbasat & Barki, 2007; Nistor, 2014). By using fsQCA researchers go beyond regression-based methods, since they are able to identify complexities inherent in real-life situations and find multiple pathways that explain the same outcome.

In the first session, beyond the introduction, Dr Pappas will present details and examples on how to perform fsQCA using the respective software application. In the second session, participants are encouraged to bring their own work (e.g., working papers, datasets) to discuss. During this part of the workshop we will help you run the analysis and apply fsQCA in your existing datasets.

ÂÜÀòÉç¹ÙÍøt Ilias Pappas:

Ilias is a Marie Sklodowska-Curie fellow in the Department of Computer Science, NTNU, Norway. He has published several articles in international journals and international conferences, including Journal of Business Research, Information & Management, Computers in Human Behavior, and Telematics & Informatics, employing fsQCA in various contexts.

More info:

Workshop Registration Fee: £50

Registration Due Date: 30th June 2018

References:

Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), Article 3.?

Benbasat, I., & Barki, H. (2007). Quo vadis TAM? Journal of the Association for Information Systems, 8(4), 7.?

Dwivedi, Y.K., Rana, N.P., Jeyaraj, A., Clement, M. & Williams, M.D. (2017). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers. Available at

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.

Pappas, I. O., Giannakos, M. N. & Sampson, D. G.  (2017a). Fuzzy set analysis as a means to understand users of 21st-century learning systems: The case of mobile learning and reflections on learning analytics research. Computers in Human Behavior. Doi: 10.1016/j.chb.2017.10.010

Pappas, I. O., Kourouthanassis, P. E., Giannakos, M. N. & Lekakos, G. (2017b). The interplay of online shopping motivations and experiential factors on personalized e-commerce: A complexity theory approach. Telematics and Informatics, 34(5), 730-742.

Pappas, I. O., Kourouthanassis, P. E., Giannakos, M. N. & Chrissikopoulos, V. (2016). Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions. Journal of Business Research, 69(2), 794-803.

Venkatesh, V., Thong, J. Y., & Xu, X. (2016). Unified Theory of Acceptance and Use of Technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328–376.

Woodside, A. G. (2014). Embrace• perform• model: Complexity theory, contrarian case analysis, and multiple realities. Journal of Business Research, 67(12), 2495-2503.

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