Can trust in government help to enhance Indonesian citizens' involvement in Al-based public service?

Rahman Mulyawan
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Abstract

Purpose

Given its ability to improve user interaction and labor productivity, ease human workloads and cut maintenance costs, public sectors are using AI-based robotic technology (AI-RT) at an accelerated rate. There is, however, little knowledge about the variables affecting citizens' participation when services backed by AI-RT are offered. In order to better understand the elements that influence AI-RT citizens' involvement and the moderating function of trusts in governmental organizations, this article draws on ideas from the Consumer Value Theory.

Design/methodology/approach

Out of 500 survey forms that were distributed to Indonesian people who had experience in using AI-RT devices in public service hall (e.g. airport’s Auto Gate), 367 returned the completed feedbacks. Data analysis used a step-by-step hierarchical moderated regression examination using SPSS 24 version.

Findings

Citizens’ involvement is positively correlated with esthetics and customization and adversely correlated with period expended using the AI-RT. Additionally, the findings imply that citizens who have greater levels of faith in governmental institutions are more likely to benefit favorably from the customization and esthetics of AI-RT.

Practical implications

The AI-RT must be capable of customizing the distribution of the appropriate materials to the appropriate individual at the appropriate moment, and public managers should guarantee that it is esthetically pleasing. Additionally, they ought to place a high priority on winning the trust of the populace in order to increase citizens’ involvement.

Originality/value

This paper was among the initial efforts that discover the determinants of citizens’ involvement in the AI-RT and the moderating effect of trusts in governmental organizations on the links between predictors and predicted variable, especially in an emerging country such as Indonesia.

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对政府的信任能否有助于提高印尼公民对以 Al 为基础的公共服务的参与度?
目的鉴于人工智能机器人技术(AI-RT)能够改善用户互动、提高劳动生产率、减轻人类工作量并降低维护成本,公共部门正在加速使用人工智能机器人技术(AI-RT)。然而,在提供以人工智能机器人技术为支撑的服务时,人们对影响公民参与的变量知之甚少。为了更好地理解影响 AI-RT 公民参与的因素以及政府组织信任的调节功能,本文借鉴了消费者价值理论的观点。设计/方法/途径在向有在公共服务大厅(如机场自动门)使用 AI-RT 设备经验的印尼人发放的 500 份调查表中,有 367 人填写了反馈意见。数据分析使用 SPSS 24 版本进行分步分层调节回归检验。此外,研究结果表明,对政府机构更有信心的公民更有可能从人工智能远程培训的定制化和美学中获益。此外,他们应高度重视赢得民众的信任,以提高公民的参与度。原创性/价值本文是发现公民参与 AI-RT 的决定因素以及对政府组织的信任对预测因素和预测变量之间联系的调节作用的初步研究之一,尤其是在印尼这样的新兴国家。
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来源期刊
CiteScore
3.70
自引率
15.80%
发文量
22
期刊介绍: Institutions – especially public policies – are a significant determinant of economic outcomes; entrepreneurship and enterprise development are often the channel by which public policies affect economic outcomes, and by which outcomes feed back to the policy process. The Journal of Entrepreneurship & Public Policy (JEPP) was created to encourage and disseminate quality research about these vital relationships. The ultimate aim is to improve the quality of the political discourse about entrepreneurship and development policies. JEPP publishes two issues per year and welcomes: Empirically oriented academic papers and accepts a wide variety of empirical evidence. Generally, the journal considers any analysis based on real-world circumstances and conditions that can change behaviour, legislation, or outcomes, Conceptual or theoretical papers that indicate a direction for future research, or otherwise advance the field of study, A limited number of carefully and accurately executed replication studies, Book reviews. In general, JEPP seeks high-quality articles that say something interesting about the relationships among public policy and entrepreneurship, entrepreneurship and economic development, or all three areas. Scope/Coverage: Entrepreneurship, Public policy, Public policies and behaviour of economic agents, Interjurisdictional differentials and their effects, Law and entrepreneurship, New firms; startups, Microeconomic analyses of economic development, Development planning and policy, Innovation and invention: processes and incentives, Regional economic activity: growth, development, and changes, Regional development policy.
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