The Integrated User Satisfaction Model: Assessing Information Quality and System Quality as Second-Order Constructs in System Administration
Author(s) -
Nicole Forsgren,
Alexandra Durcikova,
Paul Clay,
Xuequn Wang
Publication year - 2016
Publication title -
communications of the association for information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.576
H-Index - 48
ISSN - 1529-3181
DOI - 10.17705/1cais.03839
Subject(s) - context (archaeology) , quality (philosophy) , information system , computer science , information quality , construct (python library) , system model , knowledge management , order (exchange) , engineering , business , software engineering , paleontology , philosophy , epistemology , finance , electrical engineering , biology , programming language
While many studies have investigated the relationship between information systems (IS) characteristics and IS use, the results have been inconsistent. We argue that this inconsistency may be due to the modeling of information and system quality and the importance of the system usage context. We extend Wixom and Todd’s (2005) integrated model of IS satisfaction by proposing and modeling information and system quality as second-order constructs and by testing the model in the system administration context. Our findings provide support for modeling information and system quality as second-order constructs in the integrated model. Furthermore, our findings support using additional constructs, unique to the context studied, in the integrated model. We contribute to current literature by 1) enhancing the construct validity of information and system quality, which ultimately improves statistical conclusion validity and internal validity for studies that focus on information and system quality; and 2) testing the extended model in the system administration context. Our findings suggest that future research should measure information quality and system quality as second-order constructs and that including context-specific information and system characteristics provides researchers and practitioners with a better understanding of IS characteristics important in system administration.
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