Rational or Emotional User

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Information Resources Management Journal Pub Date : 2023-07-10 DOI:10.4018/irmj.325241
Edgardo Bravo, Jhony Ostos
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Abstract

Understanding why users continue or discontinue using specific technology is vital for its providers. Existing literature has explored the reasons for continuance and discontinuance by taking into account both rational and emotional factors. However, one question remains unanswered: Why do some users depend more on rational factors for decision-making, while others rely more on emotional factors? This study addresses this question by integrating cognitive decision-making styles and the fear of making incorrect decisions into traditional continued usage models. Data were gathered from 285 TV users and analyzed using structural equation modeling. The results demonstrate that the introduced constructs moderated the direct effects of rational and emotional factors. The contribution of the study lies in incorporating the underlying cognitive processes of decision-making. It presents two actionable variables that managers can utilize to categorize their customers and enhance the effectiveness of their use continuance strategies.
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理性或感性用户
了解用户为什么继续或停止使用特定技术对其提供商至关重要。现有文献从理性和情感两个方面探讨了延续和中止的原因。然而,有一个问题仍然没有答案:为什么一些用户更多地依赖理性因素进行决策,而另一些用户则更多地依赖情绪因素?这项研究通过将认知决策风格和对做出错误决策的恐惧融入传统的持续使用模型来解决这个问题。数据来自285名电视用户,并使用结构方程建模进行分析。结果表明,引入的构念调节了理性和情感因素的直接影响。该研究的贡献在于纳入了决策的基本认知过程。它提出了两个可操作的变量,管理者可以利用这两个变量对客户进行分类,并提高其使用持续性策略的有效性。
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来源期刊
Information Resources Management Journal
Information Resources Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
44
期刊介绍: Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management
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