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Intention to use business intelligence tools in decision making processes: applying a UTAUT 2 model
The pressure on the speed of information processing ranks business intelligence technologies among the fastest growing decision support tools. The main goal of this article is, applying the UTAUT 2 (the unified theory of acceptance and use of technology), to verify the factors determining the implem...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672574/ https://www.ncbi.nlm.nih.gov/pubmed/36415586 http://dx.doi.org/10.1007/s10100-022-00827-z |
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author | Kašparová, Petra |
author_facet | Kašparová, Petra |
author_sort | Kašparová, Petra |
collection | PubMed |
description | The pressure on the speed of information processing ranks business intelligence technologies among the fastest growing decision support tools. The main goal of this article is, applying the UTAUT 2 (the unified theory of acceptance and use of technology), to verify the factors determining the implementation of business intelligence tools in business processes, especially decision-making, and their subsequent optimal use in business practice. The researched scheme was modified according to the specifics of business intelligence tools and was supplemented by user behaviour in decision-making. The verification was performed using a questionnaire survey based on UTAUT 2 theory and 152 respondents were included in the analysis. According to the results, the most important variable of influence on both the behavioural intention and the users’ behaviour itself in decision-making was the factor of habit. And surprisingly, some previously recognised links were not confirmed, especially the factors influencing the intention of behaviour (effort expectancy, social influence, facilitating conditions). So, there is room after almost 10 years and experience gained during the Covid-19 pandemic to modify the latest version of a model. |
format | Online Article Text |
id | pubmed-9672574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-96725742022-11-18 Intention to use business intelligence tools in decision making processes: applying a UTAUT 2 model Kašparová, Petra Cent Eur J Oper Res Article The pressure on the speed of information processing ranks business intelligence technologies among the fastest growing decision support tools. The main goal of this article is, applying the UTAUT 2 (the unified theory of acceptance and use of technology), to verify the factors determining the implementation of business intelligence tools in business processes, especially decision-making, and their subsequent optimal use in business practice. The researched scheme was modified according to the specifics of business intelligence tools and was supplemented by user behaviour in decision-making. The verification was performed using a questionnaire survey based on UTAUT 2 theory and 152 respondents were included in the analysis. According to the results, the most important variable of influence on both the behavioural intention and the users’ behaviour itself in decision-making was the factor of habit. And surprisingly, some previously recognised links were not confirmed, especially the factors influencing the intention of behaviour (effort expectancy, social influence, facilitating conditions). So, there is room after almost 10 years and experience gained during the Covid-19 pandemic to modify the latest version of a model. Springer Berlin Heidelberg 2022-11-17 /pmc/articles/PMC9672574/ /pubmed/36415586 http://dx.doi.org/10.1007/s10100-022-00827-z Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Kašparová, Petra Intention to use business intelligence tools in decision making processes: applying a UTAUT 2 model |
title | Intention to use business intelligence tools in decision making processes: applying a UTAUT 2 model |
title_full | Intention to use business intelligence tools in decision making processes: applying a UTAUT 2 model |
title_fullStr | Intention to use business intelligence tools in decision making processes: applying a UTAUT 2 model |
title_full_unstemmed | Intention to use business intelligence tools in decision making processes: applying a UTAUT 2 model |
title_short | Intention to use business intelligence tools in decision making processes: applying a UTAUT 2 model |
title_sort | intention to use business intelligence tools in decision making processes: applying a utaut 2 model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672574/ https://www.ncbi.nlm.nih.gov/pubmed/36415586 http://dx.doi.org/10.1007/s10100-022-00827-z |
work_keys_str_mv | AT kasparovapetra intentiontousebusinessintelligencetoolsindecisionmakingprocessesapplyingautaut2model |