Bendik Bygstad

About

PhD i Computer Science from Aalborg University Mag.art i Sociology from University of Oslo 15 years as a practitioner, including a CIO position

Selected publications

• Scientific articles and book chapters
• Iden, Jon; Bygstad, Bendik; Hanseth, Ole & Nielsen, Stein Albert (2026). Samskaping blant konkurrenter i digitale økosystemer. En historisk analyse av norsk betalingsformidling. Beta – Scandinavian Journal of Business Research. ISSN 0801-3322. 40(1), p. 1–21. doi: 10.18261/beta.40.1.2. Full text in Research Archive Show summary Denne artikkelen analyserer hvordan de norske bankene, som er konkurrenter, i perioden fra 1960 til i dag lyktes i å samskape et velfungerende og brukervennlig digitalt økosystem for betalingsformidling. De digitale betalingsformidlingstjenestene har gitt Norge som samfunn store ressursbesparelser, bankene reduserte kostnader, og kundene effektive betalingstjenester. Studien bygger på skriftlige kilder og samtaler med nøkkelinformanter, med samskaping som analytiske ramme. Artikkelen gir for første gang en helhetlig framstilling av utviklingen av det norske betalingsformidlingssystemet. Den historiske analysen viser at suksessen kan tilskrives to forhold: for det første banksektorens vilje og evne til å samskape over tid, og for det andre en kontinuerlig og gradvis teknologisk utvikling av et omfattende digitalt økosystem. Artikkelens teoretiske bidrag er at vellykket samskaping blant konkurrenter i digitale økosystemer er resultatet av et komplekst samspill av strategisk og målrettet verdiskaping, brukerorientert innovasjon og teknologisk skalering gjennom digitale plattformer.
• Øvrelid, Egil; Bygstad, Bendik & Hanseth, Ole (2025). Making Sense of Discursive Formations and Program Shifts in Large-Scale Digital Infrastructures. Journal of the AIS. 26(1), p. 95–127. doi: 10.17705/1jais.00899. Full text in Research Archive
• Kjekshus, Lars Erik & Bygstad, Bendik (2024). Competing institutional logics in healthcare organizations: theorising digitalism. Journal of Health Organisation and Management. ISSN 1477-7266. 38(8), p. 1299–1315. doi: 10.1108/JHOM-03-2024-0107. Full text in Research Archive Show summary Purpose The digitalisation of healthcare services has proven to be difficult, with numerous negative effects. We argue that the reason for the problem is not poor project management, but a clash of different institutional logics. The aim of this article is to explore, define and theorise the concept of digitalism, as a term for a new institutional logic in contrast to other, more known logics in organisations, such as managerialism and professionalism, to better understand processes of digitalisation. Design/methodology/approach We illustrate our arguments with a case study of a process of organizational development before and after the implementation of centralised large-scale IT systems at a large Norwegian hospital. Data was extracted from documents and observations from January 2015 to January 2016 during an organizational audit. In addition, a follow-up study was conducted in 2019 and 2024 by interviewing eight key personnel who were involved in the implementation process. Findings The implementation of a new digital health record in a Norwegian hospital is a process of social restructuring that involves new actors, logics and control systems. The process of digitalisation shows us how digitalism create tensions, diverges and merges with other institutional logics. Practical implications Understanding digitalism as a sensitising concept offers insights into how large-scale technology and organizations are tied together and can help to reduce organizational dysfunctionalities and improve the implementation of IT systems. Originality/value This study contributes to a new understanding of digitalisation processes and links an ongoing theoretical debate on the digitalisation of organizations with empirical findings.
• Iden, Jon & Bygstad, Bendik (2024). Sociotechnical micro-foundations for digital transformation. European Journal of Information Systems. ISSN 0960-085X. doi: 10.1080/0960085X.2024.2347950. Full text in Research Archive
• Bygstad, Bendik & Øvrelid, Egil (2024). Towards digital agility: the best practices for e-health. Procedia Computer Science. 239, p. 2022–2029. doi: 10.1016/j.procs.2024.06.388. Full text in Research Archive Show summary In this study we investigate a pertinent question; how should CIOs in the health sector relate to best digital practices as they can be inferred from current research? We have chosen to frame our investigation with digital agility, the ability to sense and respond using digital resources. Differentiating between conceptual and instrumental relevance, the aim of the study is to establish a base on digital agility in current IS research, and then move on to best practices. Our analysis built on current research, in particular Grover’s (2021) four tenets of digital agility, and our own case studies in e-health through a decade. We identified four best digital agile practices in e-health; (i) redesign systems gradually though platformisation, (ii) define (broadly) ecosystem structure and roles, (iii) use data for action, and (iv) establish a governance model that supports two-speed innovation.
• Bojer, Casper Solheim; Bygstad, Bendik & Øvrelid, Egil (2024). Speeding up Explorative BPM with Lightweight IT: the Case of Machine Learning. Information Systems Frontiers. ISSN 1387-3326. p. 1–18. doi: 10.1007/s10796-024-10474-1. Full text in Research Archive Show summary In the modern digital age, companies need to be able to quickly explore the process innovation affordances of digital technologies. This includes exploration of Machine Learning (ML), which when embedded in processes can augment or automate decisions. BPM research suggests using lightweight IT (Bygstad, Journal of Information Technology, 32(2), 180–193 2017) for digital process innovation, but existing research provides conflicting views on whether ML is lightweight or heavyweight. We therefore address the research question “How can Lightweight IT contribute to explorative BPM for embedded ML?” by analyzing four action cases from a large Danish manufacturer. We contribute to explorative BPM by showing that lightweight ML considerably speeds up opportunity assessment and technical implementation in the exploration process thus reducing process innovation latency. We furthermore show that succesful lightweight ML requires the presence of two enabling factors: 1) loose coupling of the IT infrastructure, and 2) extensive use of building blocks to reduce custom development.
• Bygstad, Bendik (2024). Ole Hanseth, a Free Researcher. Scandinavian Journal of Information Systems (SJIS). ISSN 0905-0167. 36(1), p. 59–66. Full text in Research Archive