Title of paper:
|
Digital transformation project selection using Interval Valued Type-2 Intuitionistic Fuzzy TOPSIS
|
Author(s):
|
Başar Öztayşi
|
Department of Industrial Engineering, Istanbul Technical University, Besiktas, Istanbul, Türkiye
|
oztaysib@itu.edu.tr
|
Sezi Çevik Onar
|
Department of Industrial Engineering, Istanbul Technical University, Besiktas, Istanbul, Türkiye
|
cevikse@itu.edu.tr
|
Cengiz Kahraman
|
Department of Industrial Engineering, Istanbul Technical University, Besiktas, Istanbul, Türkiye
|
kahramanc@itu.edu.tr
|
Selçuk Çebi
|
Department of Industrial Engineering, Istanbul Technical University, Besiktas, Istanbul, Türkiye
|
scebi@yildiz.edu.tr
|
|
Presented at:
|
25th ICIFS, Sofia, 9—10 September 2022
|
Published in:
|
Notes on Intuitionistic Fuzzy Sets, Volume 28 (2022), Number 3, pages 334–342
|
DOI:
|
https://doi.org/10.7546/nifs.2022.28.3.334-342
|
Download:
|
PDF (486 Kb, File info)
|
Abstract:
|
Digital transformation necessitates fundamental changes in business processes, business models, and even cultures of the companies. DT projects provide a substantial value to the business competition and effect their market shares. In order to reach these results, digital transformation projects should be carefully analyzed and evaluated. In this paper, we focus on digital transformation project prioritization problem under multiple criteria. Just like many other technology related decisions, digital transformation problems are inherently uncertain, which leads researchers to employ the fuzzy set theory. Interval Valued Type-2 Intuitionistic Fuzzy Sets (IVT2IFS) are a relatively new extension of fuzzy sets which take into account membership and non-membership values as an interval. In this paper, we utilize Interval Valued Type-2 Intuitionistic Fuzzy TOPSIS method for a digital transformation project prioritization problem and apply the model to a real-world example.
|
Keywords:
|
Digital transformation, Interval Valued Type-2 Intuitionistic Fuzzy Sets (IVT2IFS), TOPSIS, Project selection.
|
AMS Classification:
|
60-08, 62B10.
|
References:
|
- Atanassov, K. T. (1989). More on intuitionistic fuzzy set, Fuzzy Sets and Systems, 33(1), 37–45.
- Berghaus, S., & Back, A. (2017). Disentangling the fuzzy front end of digital transformation: Activities and approaches. International Conference on Information Systems (ICIS) 2017, Seoul, Korea, 1–17.
- Chen, C.-L., Pn, Y.-C., Chen, W.-H., Chao, C.-F., & Pandia, H. (2021). Role of government to enhance digital transformation in small service business. Sustainability, 13, Article No. 1028.
- Dehning, B., Richardson, V. J., & Zmud, R. W. (2003). The value relevance of announcements of transformational information technology investments. MIS Quarterly, 27(4), 637–656.
- EIT Report (2021). EIT RawMaterials publishes Position Paper on digitalisation in the raw materials sector. Retrieved from https://eitrawmaterials.eu/eit-rawmaterials-publishes-position-paper-on-digitalisation-in-the-raw-materials-sector/. Accessed August 18, 2022.
- Englmair, F., & Flack, O. (2020). Job market boom or oppressive change? The effects of the digital transformation on the workplace and the labor market. CESifo Forum, 21(3), 3–4.
- Hess, T., Matt, C., Benlian, A., & Wiesbock, F. (2016). Options for formulating a digital transformation strategy. MIS Quarterly Executive, 15(2), 103–119.
- Isikli, E., Ugurlu, S., Cevikcan, E., & Ustundag, A. (2017). Project portfolio selection for the digital transformation era. In: Industry 4.0: Managing the Digital Transformation (pp. 105–121). Springer Cham.
- Jeansson, J., & Bredmar, K. (2019). Digital transformation of SMEs: capturing complexity. In: A. Pucihar, M. Kljajić Borštnar, R. Bons, J. Seitz, H. Cripps, & D. Vidmar (Eds.), 32nd Bled eConference, Humanizing Technology for a Sustainable Society (pp. 523–541). University of Maribor Press.
- Kahraman C., Cevik Onar S., Oztaysi B. (2015) Engineering economic analyses using intuitionistic and hesitant fuzzy sets, Journal of Intelligent & Fuzzy Systems, 29(3), 1151–1168.
- Kane, G., Palmer, D., & Phillips, A. N. (2015). Is your business ready for a digital future. MIT Sloan Management Review, 56, 37–44.
- Kaya, İ., Oztaysi, B., & Kahraman, C. (2012). A two-phased fuzzy multicriteria selection among public transportation investments for policy-making and risk governance. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20(1), 31–48.
- Lucas, H. C., Agarwal, R., Clemons, E. K., El Sawy, O. A., & Weber, B. (2013). Impactful research on transformational information technology: An opportunity to inform new audiences. MIS Quarterly, 37(2), 371–382.
- Matt, C., Hess, T., & Benlian, A. (2015). Digital transformation strategies. Business & Information Systems Engineering, 57(5), 339–343.
- Otay, I., & Jaller, M. (2020). Multi-criteria and multi-expert wind power farm location selection using a Pythagorean fuzzy Analytic Hierarchy Process. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A. & Sari, I. (Eds.), INFUS 2019 Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, Advances in Intelligent Systems and Computing Vol. 1029 (pp. 905–914). Springer, Cham.
- Oztaysi, B., Behret, H., Kabak, O, Ucal Sarı, I., & Kahraman, C. (2013). Fuzzy inference systems for disaster response. In: Vitoriano, B., Montero, J., Ruan, D. (eds) Decision Aid Models for Disaster Management and Emergencies. Atlantis Computational Intelligence Systems, Vol 7 (pp. 75–94). Atlantis Press, Paris.
- Oztaysi, B., Cevik Onar, S., & Kahraman, C. (2016). Fuzzy multicriteria prioritization of Urban transformation projects for Istanbul. Journal of Intelligent & Fuzzy Systems, 30(4), 2459–2474.
- Oztaysi, B., Cevik Onar, S., & Kahraman, C. (2018). Prioritization of business analytics projects using interval type-2 fuzzy AHP. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., & Krawczak, M. (Eds.), EUSFLAT 2017 Advances in Fuzzy Logic and Technology, Advances in Intelligent Systems and Computing, Vol. 643 (pp. 106–117), Springer, Cham.
- Song, S., Yang, F., & Xia, Q. (2019). Multi-criteria project portfolio selection and scheduling problem based on acceptability analysis. Computers & Industrial Engineering, 135, 793–799.
- Wade, M. R. (2015). Digital business transformation: A conceptual framework. Global Center for Digital Business Transformation. Retrieved from https://www.imd.org/globalassets/dbt/docs/framework. Accessed August 18, 2022.
|
Citations:
|
The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.
|
|