智慧城市测量:印尼智慧经济绩效指标的确定

Bima Ajie Bahari, T. D. Susanto, Janti Gunawan
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引用次数: 0

摘要

智慧城市的概念被认为是克服城市问题的解决方案之一。尽管已经进行了大量的研究,但在模型、概念、指标、衡量智慧城市绩效的方法以及每个国家的不同特征方面,仍然没有达成一致的国际标准。在印度尼西亚,有一个由6个维度组成的智慧城市模型。其中一个维度是智能经济,其中有三个子维度使其更具体和有针对性。这三个子维度分别是产业、福利和交易。此外,每个子维度都有用于支持目的的因素。智慧经济的目标是发展具有竞争力、优越性和适应性的经济生态系统。本研究旨在确定印尼智能经济应用的指标。将使用与智慧经济相关的文献综述,文章来源来自领先的在线数据库。文献综述的目的是寻找与本研究相关的印度尼西亚以外的其他研究结果的指标。数百篇文章被发现,并被过滤成30篇文章。从30篇文献中进行综合分析,寻找研究结果的指标,并根据印尼智慧经济的子维度和因素绘制地图。结果,共发现18项指标。本研究得出的指标有望在理论和实践上都有所贡献。此外,这些指标有望帮助印尼政府发展智慧城市。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart City Measurement: Identification of Smart Economy Performance Indicators in Indonesia
The concept of smart city is believed to be one of the solutions to overcome problems in urban areas. Although much research has been carried out, there is still no agreed international standards regarding models, concepts, indicators, ways to measure smart city performance and the characteristics of each country that are different. In Indonesia, there is a smart city model that consists of 6 dimensions. One of the dimensions is smart economy, where there are three sub-dimensions to make it more specific and targeted. The three sub-dimensions are industry, welfare, and transactions. Also, there are factors of each subdimensions for support purpose. Smart economy has goal to develop competitive, superior, and adaptive economic ecosystems. This study aims to identify indicators of the application of the smart economy in Indonesia. Literature reviews related to smart economy will be used, and article sources come from leading online databases. The purpose of the literature review is to find indicators of other research findings outside Indonesia that are relevant to this study. Hundreds of articles have been found and filtered into 30 articles only. From 30 literatures, synthesis analysis was carried out to look for indicators of findings and mapped according to sub-dimensions and factors in Indonesia's smart economy. As a result, there are 18 indicators found. Indicators resulting from this research are expected to contribute both in theory and practice. In addition, the indicators found are expected to help the government develop smart cities in Indonesia.
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