基于移动的智慧社区整体价值与社会维度:以公民为中心的视角

Aang Kisnu Darmawan, Daniel Oranova Siahaan, Tony Dwi Susanto, Hoiriyah, Busro Akramul Umam, Miftahul Walid, Betty Dewi Puspasari, A'ang. Subiyakto, Achmad Nizar Hidayanto
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引用次数: 5

摘要

目前,几乎每个国家都在努力用智慧城市的概念来实施城市管理。以前的研究通过探索在智慧城市理念应用中对技术的采用和接受的社会价值,产生了几个模型。然而,以智慧区建设者的维度之间的关系形式来探讨社会价值的研究仍然很少,这与迄今为止常见和流行的智慧城市概念有很大的不同。本研究旨在探讨与评估智慧行动化区或区应用的社会维度关系。使用的模型和方法是对期望确认模型、体验质量(QoE)、服务质量(QoS)、信任、承诺、使用意愿、满意度和推荐意愿理论中的构建维度的探索。数据收集来自217名受访者,他们使用在线调查方法和使用SmartPLS软件v.3.2.8的离线数据处理成功收集。研究结果表明,智慧小区服务建设者各维度的关系格局存在显著正相关关系。本研究有助于对智慧小区建设各方面的关系关系进行建模,这方面的研究目前还很少。本研究证实了地方政府和政策制定者应该更多地关注影响智能移动地区服务绩效质量的技术采用中关键社会维度的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobile-based Smart District Holistic Values And Social Dimensions: a Citizen-centric Perspective
At present, almost every country struggles to implement city management with the concept of smart cities. Previous studies have produced several models by exploring social values on the adoption and acceptance of technology in the application of the idea of a smart city. However, there is still little research that explores social values in the form of a relational relationship between the dimensions of builders in the Smart District, which is very different from the concept of smart cities that are common and popular so far. This study aims to explore and evaluate the relationship of social dimensions of the application of smart mobile-based districts or districts. The model and approach used is an exploration of the building dimensions in the theory of Expectation Confirmation Model, Quality of Experience (QoE), Quality of Service (QoS), Trust, Commitment, Use Intention, Satisfaction, and Recommendation Intention. Data collection was carried out from two hundred seventeen respondents who were successfully collected using online survey methods and offline data processing using SmartPLS software v.3.2.8. The research findings indicate that there is a positive and significant relationship for the relational pattern of the proposed dimensions of intelligent district service builders. This research contributes to the modeling of the relational relationships of the aspects of the building of smart districts, which is still rarely done. This study confirms that local governments and policymakers should pay more attention to the relationship of critical social dimensions in technology adoption that affects the quality of service performance of smart-based mobile districts.
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