Early identification of potential Distributed Ledger Technology business cases using e3value models – Defining the pattern (Henri Arno)

Distributed Ledger Technologies (DLT) like Blockchain are being experimented with in nearly every economic sector. Most of the time, projects don’t survive after their first year and it has proven to be extremely difficult to reap benefits from implementing DLT. What is currently missing is an analytical tool that allows early decision-making on DLT implementation.

In a recent paper, we explored the ability of the e3value enterprise modeling technique to provide early indications of potential DLT business cases. In the paper we apply e3value modeling to two DLT cases: peer-to-peer energy trading and digital image rights trading. We observed that, despite the difference in sector, both models were quite similar. By abstracting from the specific domains modelled, we created an abstract e3value model that, according to our analysis, provides indications of the potential business case for DLT.

The goal of the master dissertation is to apply our abstract model to additional DLT cases, in order to confirm (or not) the pattern of indications that we discovered. Given that a pattern is established, decision-makers will have a tool to analyse the viability of DLT projects in an early stage, which should ultimately lead to less resources wasted on projects that lack the potential to lead to successful DLT implementation.

By Geert Poels

Geert Poels is head of UGentMIS, which he founded in 2005. He is Professor of Management Information Systems (since October 1, 2012) and member of the professorial staff of the Faculty of Economics and Business Administration, Ghent University (since October 1, 2002). He is member of the University Research Council. He also teaches and directs master dissertation research at IC Institute (Beersel, Belgium). Within UGentMIS he coordinates the Enterprise Modelling research cluster. His personal research and research together with academic scholars, companies, post-doctoral researchers, PhD students and Master students relates to six lines of research: (1) Design of a Business Process Architecture Description Language – with colleagues from UCLM, Spain; (2) Automated modelling of User Stories and Behaviour-Driven Design scenarios – with colleagues from SLU, United States & UGent PhD students Abhimanyu Gupta and Anis Amna; (3) Ontological analysis and design of Value Models and their integration into Enterprise Architecture – with colleagues from The Open University of The Netherlands and UNIBZ, Italy; in collaboration with the Dutch company VDMbee; and with Master students from IC Institute; (4) Redesigning the conceptual model of COBIT for IT Governance – with colleagues from Antwerp Management School; in collaboration with PwC and ISACA & UGent PhD student Dirk Steuperaert; (5) Enterprise Modelling for tactical information systems design, the 'informal enterprise', and capability management – with professors Renata Petrevska and Mijalche Santa from the universities of Bitola/Prilep and Skopje, Macedonia, respectively, and with Master students from IC Institute; (6) Enterprise Modelling for digital innovation – with UGent/VUB post-doctoral researcher Michaël Verdonck, UGent Master students and colleagues from the Vrije Universiteit Amsterdam. Apart from these research lines, Geert Poels supervises UGent PhD research on digital marketplaces (Thomas Derave), technology disruption (Patrick Luyts), cybersecurity (Hossein Abroshan, Steve Ahouanmenou), enterprise systems (Adnan Kraljic, Tarik Kraljic), and GDPR (Georgios Georgiadis, Abdel-Jaouad Aberkane). In the period 2005-2020 he was promoter of 13 completed PhD research projects (11 at UGent and 2 at KU Leuven), while currently he is promoter of 11 ongoing PhD projects. Mid 2020 he has 126 publications listed in Web of Science with an h-index of 15. His Scopus h-index is 19. His Google Scholar h-index is 32 with over 3600 citations recorded.

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