Towards a theory of individual-level discontinuance of information systems use


Autoria(s): Recker, Jan C.
Contribuinte(s)

Karahanna, Elena

Srinivasan, Ananth

Tan, Bernard

Data(s)

2014

Resumo

I develop a model of individuals’ intentions to discontinue information system use. Understanding these intentions is important because they give insights into users’ willingness to carry out system tasks, and provide a basis for maintenance decisions as well as possible replacement decisions. I offer a first conceptualization of factors determining users’ discontinuance intentions on basis of existing literature on technology use, status quo bias and dual factor concepts. The model is grounded in rational choice theory to distinguish determinants of a conscious decision between continuing or discontinuing IS use. I provide details on the empirical test of the model through a field study of IS users in a retail organization. The work will have implications for theory on information systems continuance and dual-factor logic in information system use. The empirical findings will provide suggestions for managers dealing with cessation of information systems and work routine changes in organizations.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/78622/

Publicador

Association For Information Systems

Relação

http://eprints.qut.edu.au/78622/1/Towards_a_Theory_of_Individual-level_Discontinuance_of_Informatio.pdf

http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1286&context=icis2014

Recker, Jan C. (2014) Towards a theory of individual-level discontinuance of information systems use. In Karahanna, Elena, Srinivasan, Ananth, & Tan, Bernard (Eds.) Proceedings of the 35th International Conference on Information Systems, Association For Information Systems, Auckland, New Zealand.

Direitos

Copyright 2014 [please consult the author]

Fonte

School of Information Systems; Science & Engineering Faculty

Palavras-Chave #080611 Information Systems Theory #information system discontinuance #dual-factor logic #information system use #status quo bias #information system lifecycle
Tipo

Conference Paper