Affected but not involved: Two-scenario based investigation of individuals’ attitude towards decision support systems based on the example of the video assistant referee

IF 2.8 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Journal of Decision Systems Pub Date : 2022-02-27 DOI:10.1080/12460125.2022.2041274

Julian Märtins, D. Westmattelmann, G. Schewe

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引用次数: 4

Abstract

ABSTRACT To fully realize the benefits of Decision Support Systems (DSS), it is important to investigate factors influencing individuals who are affected by the DSS’ decision but are not involved in decision-making. An example of such DSS is the Video Assistant Referee (VAR) in professional football. Drawing on transparency and justice research, we examined the role of transparency, procedural justice, and social influence on individuals’ attitudes towards the VAR. A quantitative vignette-based approach (N = 824) using two scenarios (fans watching from home/in stadiums) was chosen. Results indicate that all variables are higher in the home setting. Structural equation modelling revealed that transparency, procedural justice, and social influence significantly impact individual’s attitude towards the VAR. Multigroup analyses showed that the effect size of one transparency dimension is significantly stronger at home, while social influence is stronger in stadiums. To further interpret the findings, we conducted twelve semi-structured interviews among football fans.

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受影响但未参与：以视频助理裁判为例，对个人对决策支持系统的态度进行两种情景调查

摘要为了充分发挥决策支持系统的优势，研究受决策支持系统决策影响但未参与决策的个体的影响因素是很重要的。这种DSS的一个例子是职业足球中的视频助理裁判（VAR）。在透明度和公正性研究的基础上，我们研究了透明度、程序公正性和社会影响对个人对VAR态度的影响。选择了一种基于量化小插曲的方法（N=824），使用两种场景（球迷在家/体育场观看）。结果表明，在家庭环境中，所有变量都较高。结构方程模型显示，透明度、程序公正性和社会影响显著影响个人对VAR的态度。多组分析表明，一个透明度维度的影响大小在国内显著更强，而社会影响在体育场馆更强。为了进一步解释研究结果，我们对足球迷进行了12次半结构化访谈。

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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来源期刊

Journal of Decision Systems OPERATIONS RESEARCH & MANAGEMENT SCIENCE-

CiteScore

6.30

自引率

23.50%

发文量