在决策过程中使用商业智能工具的意向:应用UTAUT 2 模型。

IF 1.4 4区 管理学 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Central European Journal of Operations Research Pub Date : 2022-11-17 DOI:10.1007/s10100-022-00827-z
Petra Kašparová
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引用次数: 0

摘要

信息处理速度的压力使商业智能技术成为发展最快的决策支持工具之一。本文的主要目的是应用UTAUT 2(技术接受和使用统一理论),验证决定商业智能工具在商业流程(尤其是决策)中实施的因素,以及随后在商业实践中的最佳使用。根据商业智能工具的具体情况对研究方案进行了修改,并对用户在决策中的行为进行了补充。根据UTAUT 2 理论,通过问卷调查进行了验证,152 名受访者参与了分析。结果表明,对行为意向和用户决策行为本身影响最大的变量是习惯因素。而令人惊讶的是,一些之前被认可的联系并没有得到证实,尤其是影响行为意向的因素(努力预期、社会影响、便利条件)。因此,在将近 10 年的时间里,根据在 Covid-19 大流行期间获得的经验,仍有修改最新版本模型的余地。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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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 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.

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来源期刊
Central European Journal of Operations Research
Central European Journal of Operations Research 管理科学-运筹学与管理科学
CiteScore
4.70
自引率
11.80%
发文量
30
审稿时长
3 months
期刊介绍: The Central European Journal of Operations Research provides an international readership with high quality papers that cover the theory and practice of OR and the relationship of OR methods to modern quantitative economics and business administration. The focus is on topics such as: - finance and banking - measuring productivity and efficiency in the public sector - environmental and energy issues - computational tools for strategic decision support - production management and logistics - planning and scheduling The journal publishes theoretical papers as well as application-oriented contributions and practical case studies. Occasionally, special issues feature a particular area of OR or report on the results of scientific meetings.
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