Intention to Use Business Intelligence Tools in Decision Making Processes: Applying a UTAUT 2 Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F22%3A00010030" target="_blank" >RIV/46747885:24310/22:00010030 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s10100-022-00827-z" target="_blank" >https://link.springer.com/article/10.1007/s10100-022-00827-z</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10100-022-00827-z" target="_blank" >10.1007/s10100-022-00827-z</a>
Alternative languages
Result language
angličtina
Original language name
Intention to Use Business Intelligence Tools in Decision Making Processes: Applying a UTAUT 2 Model
Original language 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Central European Journal of Operations Research
ISSN
1435-246X
e-ISSN
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Volume of the periodical
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Issue of the periodical within the volume
11/2022
Country of publishing house
DE - GERMANY
Number of pages
18
Pages from-to
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UT code for WoS article
000884957300001
EID of the result in the Scopus database
2-s2.0-85142153102