If we implement it, will they come? User resistance in post-acceptance usage behaviour within a business intelligence systems context
Datos Bibliográficos
| ID | 15067796 |
|---|---|
| Autores | Ana Popovic (0000-0002-6924-6119, Faculty of Economics, University of Ljubljana, Ljubljana, Slovenia, autor de correspondencia) |
| Año | 2017 |
| Volumen | 30 |
| Número | 1 |
| Páginas | 911-921 |
| Fecha de publicación | 2017-01-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Economic Research-Ekonomska Istraživanja (JOURNAL) |
| Identificadores de la revista | ISSN: 1331-677X • E-ISSN: 1848-9664 |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1331677x.2017.1311232 |
| OpenAlex | W2612472565 |
| Idioma | EN |
| Referencias citadas | 50 |
The aim of this article is to examine individual, corporate and technology-related factors that shape user resistance in business intelligence systems (BIS) post-acceptance usage behaviour. The author develops a conceptual framework and a series of propositions, grounded on previous studies of user resistance to information systems (IS) and post-acceptance usage. The framework proposes that three individual-level variables (loss of power, change in decision-making approach, change of job or job skills), four corporate-level variables (information culture, communication, user training, service quality) and a technology-related variable (system issues) can be attributed to fuel user resistance towards BIS post-acceptance usage stages. A series of propositions is offered that aims to stimulate empirical research in this topical subject. Despite wide acknowledgement of the importance of user resistance for IS implementation success, this area has been under-researched in the field of BIS. This article draws insights from theoretical and empirical studies to shed some light on this area. A framework is presented which transcends previous works on user resistance to IS by looking at the context of BIS use within the voluntary use environment
Business Intelligence · Knowledge management · Big Data and Business Intelligence · Computer Science · Knowledge Management and Sharing · Psychology · Technology Adoption and User Behaviour
Organizations
Investigating User Resistance to Information Systems Implementation
How Habit Limits the Predictive Power of Intention
Information Technology Adoption Across Time
Business Intelligence and Analytics
Information Technology Implementation Research
Service Quality
Understanding Information Systems Continuance
A Theoretical Extension of the Technology Acceptance Model
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |