A multilevel social network perspective on IT adoption
Version 2 2024-06-13, 08:46Version 2 2024-06-13, 08:46
Version 1 2014-10-28, 10:33Version 1 2014-10-28, 10:33
chapter
posted on 2024-06-13, 08:46authored byH Tscherning
Adoption of technologies has long been a key area of research in the information systems (IS) discipline, and researchers have thus been interested in the attributes, beliefs, intentions, and behaviors of individuals and organisations that could explain information and communication technology (ICT) adoption. The focal unit of adoption has mainly been individuals and organisations, however, research at group or social network level as well as the inter-organizational level have recently gained increased interest from IS researchers. This recent focus supports the view of the world as being the sum of all relations. Various social network theories exist that seek to emphasize different proficiencies of social networks and explain theoretical mechanisms for behavior in social networks. The core idea of these theories is that social networks are valuable, and the relations among actors affect the behavior of individuals, groups, organizations, industries, and societies. IS researchers have also found that social network theory can help explain technology adoption. Some researchers, in addition, acknowledge that most adoption situations involve phenomena occuring at multiple levels, yet most technology adoption research applies a single level of analysis. Multilevel research can address the levels of theory, measurement, and analysis required to fully examining research questions. This paper therfore adapts the Coleman diagram into the Multi-level Framework of Technology. Adoption in order to explain how social network theory, at the individual and social network level, can help explain adoption of ICT. As Coleman (1990) attempts to create a link between the micro and macro level in a holistic manner, his approach is applicable in explaining ICT adoption
History
Chapter number
20
Pagination
409-439
ISBN-13
9781441961075
ISBN-10
1441961070
Language
eng
Publication classification
B1.1 Book chapter
Copyright notice
2012, Springer
Extent
22
Editor/Contributor(s)
Dwivedi Y, Wade M, Schneberger S
Publisher
Springer-Verlag
Place of publication
New York, N. Y.
Title of book
Information systems theory : explaining and predicting our digital society
Series
Integrated Series in Information Systems Volume 28