Conceptualizing means-end chains of user goals as networks

Matook, Sabine (2013) Conceptualizing means-end chains of user goals as networks. Information and Management, 50 1: 24-32. doi:10.1016/

Author Matook, Sabine
Title Conceptualizing means-end chains of user goals as networks
Journal name Information and Management   Check publisher's open access policy
ISSN 0378-7206
Publication date 2013-01-02
Sub-type Article (original research)
DOI 10.1016/
Open Access Status Not Open Access
Volume 50
Issue 1
Start page 24
End page 32
Total pages 9
Place of publication North Holland, Netherlands
Publisher Elsevier
Language eng
Abstract Goals are desired states that an individual tries to attain. The process of achieving a goal can be represented as interlinked means-end chains of user goals that have been traditionally visualized as hierarchies. Evidence in recent literature suggests that a network structure would be more appropriate and provide insight into a user's process of seeking a goal. We investigated user goal means-end chains for the eBay online auction system, and produced its structure as a goal network. To analyze this network and assess the importance of various goals, social network analysis measures were used (specifically, degree and flow-betweenness centrality). In addition, goal networks for users with low and high IS value were created and differences in goal importance in the two groups were considered. Results revealed that the most important user goals are closely related to key features of the auction system; users with high IS value want to use eBay to buy, sell, and bid for products, while users with low IS value seem to avoid using eBay because of uncertain price bidding. As such, the results of our study suggest that differences in IS value may be due to differences in IS usage. IS designers, marketers, and providers of online auction system can use our findings to design and promote better systems for their users.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
UQ Business School Publications
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Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 6 times in Scopus Article | Citations
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Created: Thu, 03 Jan 2013, 04:56:49 EST by Dr Sabine Matook on behalf of UQ Business School