The Effect of Felt Accountability on User Satisfaction with Accounting Information

Q1 Multidisciplinary
Dang Anh Tuan
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引用次数: 0

Abstract

Felt accountability affects an account-givers’ behavior, decisions, and organizational performance. Accounting information (AI) is provided for decision-making and accountability in the public sector. This study investigated the effects of felt accountability on expertise, legitimacy, and AI disclosure level for accountability on users’ satisfaction. Survey data included 401 responses across public institutions in Vietnam, and SEM linear structure analysis was used to examine the results. The research findings indicate that felt accountability directly affects users’ satisfaction and their expertise and legitimacy, and the level of AI disclosure. The expertise and legitimacy of the account-holder and the level of AI disclosure partially mediate the relationship between felt accountability and users’ satisfaction. This implies that AI's needs, purposes, and importance are determined based on hypothetical users that are not useful in reality. In practice, AI must meet accountability requirements to bring satisfaction to users. The satisfaction level of actual users of AI is influenced by the account-givers’ perceived accountability regarding the needs, expertise, and legitimacy of the account-holder. Therefore, it is essential to identify the type of information needed, the timing of AI disclosure, and the actual AI users to reduce the gap between the supply and demand of AI. The research results provide evidence supporting agency and social contingency theories in accountability relationships. Doi: 10.28991/ESJ-2024-08-02-023 Full Text: PDF
感受到的责任感对用户对会计信息满意度的影响
责任感会影响会计人员的行为、决策和组织绩效。会计信息(AI)用于公共部门的决策和问责。本研究调查了感受到的责任感对专业知识、合法性和会计信息披露水平对用户满意度的影响。调查数据包括越南公共机构的 401 份答复,并采用 SEM 线性结构分析法对结果进行检验。研究结果表明,感觉到的责任感直接影响用户的满意度、用户的专业知识和合法性以及人工智能披露水平。账户持有人的专业知识和合法性以及人工智能披露水平部分地调节了感受到的责任感与用户满意度之间的关系。这意味着,人工智能的需求、目的和重要性是根据假设的用户来确定的,在现实中并无用处。在实践中,人工智能必须满足问责要求,才能给用户带来满意度。人工智能实际用户的满意度受开户绑定手机领体验金提供者对开户绑定手机领体验金需求、专业知识和合法性的责任感影响。因此,必须确定所需信息的类型、人工智能披露的时机以及人工智能的实际用户,以缩小人工智能供需之间的差距。研究结果为责任关系中的代理理论和社会权变理论提供了支持证据。Doi: 10.28991/ESJ-2024-08-02-023 全文:PDF
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
Emerging Science Journal
Emerging Science Journal Multidisciplinary-Multidisciplinary
CiteScore
5.40
自引率
0.00%
发文量
155
审稿时长
10 weeks
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