A2 Review article, Literature review, Systematic review
Creating the Socio-technical Context Needed to Derive Benefits from Big Data Initiatives in Healthcare (2021)

Lumor, T., Pulkkinen, M., Hirvonen, A., & Neittaanmäki, P. (2021). Creating the Socio-technical Context Needed to Derive Benefits from Big Data Initiatives in Healthcare. Scandinavian Journal of Information Systems, 33(2), Article 1. https://aisel.aisnet.org/sjis/vol33/iss2/1/

JYU authors or editors

Publication details

All authors or editorsLumor, Truth; Pulkkinen, Mirja; Hirvonen, Ari; Neittaanmäki, Pekka

Journal or seriesScandinavian Journal of Information Systems



Publication year2021


Issue number2

Article number1

PublisherIRIS Association

Publication countryDenmark

Publication languageEnglish

Persistent website addresshttps://aisel.aisnet.org/sjis/vol33/iss2/1/

Publication open accessOpenly available

Publication channel open accessOpen Access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/85088

Web address where publication is availablehttp://iris.cs.aau.dk/index.php/archieve.html


The application of big data in healthcare typifies a complex socio-technical sys- tem. However, although research and practice have advanced the technical aspects of big data, comparable advancements in the social aspects (i.e., human and structural aspects) are lagging. Literature, especially on socio-technical theory, suggests that organizations may only derive benefits from big data initiatives when technical initiatives are adequate- ly complemented by social interventions. Thus, seeing that big data is receiving consider- able attention in healthcare, researchers have called for further research into the social aspects of the application of big data in healthcare. Adopting a socio-technical perspec- tive, and drawing on a systematic review of 67 articles, this study responds to the calls by collating recommendations that are necessary to establish the socio-technical context required to derive benefits from big data initiatives in healthcare. It further synthesizes the recommendations into a set of heuristics and a model to guide managerial efforts and research. The practical implications, areas for further research, and the limitation of this study are discussed. This study contributes to the discourse on establishing the so- cio-technical context needed to derive benefits from big data initiatives in healthcare.

Keywordsdatabig datainformation managementpublic health servicedata systemssystem theoryheuristicsystematic reviews

Free keywordsbig data; semantic data lake; healthcare; socio-technical systems theory; IT benefits; heuristics; data governance; systematic literature review

Contributing organizations

Ministry reportingYes

Reporting Year2021

JUFO rating1

Last updated on 2024-03-04 at 17:16