[AISWorld] Invitation to participate in a Workshop on Fuzzy Set Qualitative Comparative Analysis (fsQCA) for Marketing and IS Research

[Yogesh K. Dwivedi]

*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 at 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 at swansea.ac.uk; hatice.kizgin at swansea.ac.uk;
y.k.dwivedi at swansea.ac.uk;



Dr Emma L. Slade

School of Economics, Finance and Management, University of Bristol, UK

Email: emma.slade at 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.



*About Ilias Pappas:*

Ilias is a Marie Skłodowska-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: https://www.ntnu.edu/employees/ilpappas





*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 System*s, 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
https://link.springer.com/article/10.1007/s10796-017-9774-y

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.

-- 
Professor Yogesh K. Dwivedi, PhD
Professor of Digital Marketing and Innovation
Director of Emerging Markets Research Centre (EMaRC)
School of Management
Room #323
Swansea University, Bay Campus
Fabian Bay, Swansea, SA1 8EN, Wales, UK.
TEL (Office): +44 (0) 1792 602340
Email: y.k.dwivedi at swansea.ac.uk ; ykdwivedi at gmail.com
Home page:http://www.swansea.ac.uk/staff/som/academic-staff/y.k.dwivedi/
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Associate Editor - Government Information Quarterly
Associate Editor for Digital Marketing Section - European Journal of
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Senior Editor (Europe/Africa/Middle East) - Journal of Electronic Commerce
Research