Abstract:Smart community enables a sustainable and livable community future, in which residents’ demands play an important role in its success. Though great efforts have been made to encourage residents’ participation in the implementation of smart communities, inefficient service supply still exists. Thus, this study aimed to classify residents’ demands for community services in smart communities and to explore relevant influencing factors based on the developed conceptual framework. Data from 221 respondents in Xuzho… Show more
“…This survey was conducted in June 2022. A total of 2442 questionnaires were collected through the Wenjuanxing platform (https://www.wjx.cn/vm/r5oDXct.aspx#, accessed on 30 June 2022) [29], of which 2128 were valid. This is a professional online questionnaire, examination, assessment, and voting platform.…”
Section: Data Collectionmentioning
confidence: 99%
“…For rural residents, farmers' sense of gain was evaluated through the development of a comprehensive model after exploring the influence mechanism for farmers' sense of gain [26]. Moreover, structural equation modeling (SEM) [26], factor mixture models [27], regression models [27][28][29], fuzzy comprehensive evaluation [26], analytic hierarchy process (AHP) [30], and other methods were used to evaluate the sense of gain. Most attention was paid to the aspect of technology while less attention was paid to the humanistic aspects in existing studies about the evaluation of smart communities, especially the RSG.…”
As a crucial paradigm for addressing urbanization-related problems, smart community construction is in full swing, and its goal is to enhance residents’ sense of gain. Prior studies have not been able to account for all aspects of smart community construction, especially the evaluation tools from the perspective of residents’ sense of gain. Therefore, this paper seeks to establish a comprehensive evaluation framework for residents’ sense of gain in the smart community through the integrated method, which includes the entropy weight method (EWM), the fuzzy comprehensive evaluation (FCE), and the obstacle degree model (ODM). For the purpose of verifying the feasibility of the evaluation framework, 31 smart communities in 6 Chinese cities (Shenzhen City, Putian City, Huizhou City, Dongguan City, Zhengzhou City, and Luoyang City) were selected. The results indicated that the weight of “Cultural activities for the elderly” indicator is the highest while the “Overall design” indicator is the lowest. In addition, Putian City had the best performance, but Shenzhen City ranked last among the six cities. Moreover, among the 31 communities, the Fengshan community in Putian City performed the best while the Xinglong community in Luoyang City performed the worst. Several suggestions are proposed to improve residents’ sense of gain in smart communities, such as enhancing the quality of healthcare services, meeting the needs of the elderly through multiple channels, and enriching business services. This study not only innovates the evaluation method of smart community construction from the perspective of residents’ sense of gain but also provides suggestions for promoting the sustainable development of the smart community and enabling residents to feel more satisfied.
“…This survey was conducted in June 2022. A total of 2442 questionnaires were collected through the Wenjuanxing platform (https://www.wjx.cn/vm/r5oDXct.aspx#, accessed on 30 June 2022) [29], of which 2128 were valid. This is a professional online questionnaire, examination, assessment, and voting platform.…”
Section: Data Collectionmentioning
confidence: 99%
“…For rural residents, farmers' sense of gain was evaluated through the development of a comprehensive model after exploring the influence mechanism for farmers' sense of gain [26]. Moreover, structural equation modeling (SEM) [26], factor mixture models [27], regression models [27][28][29], fuzzy comprehensive evaluation [26], analytic hierarchy process (AHP) [30], and other methods were used to evaluate the sense of gain. Most attention was paid to the aspect of technology while less attention was paid to the humanistic aspects in existing studies about the evaluation of smart communities, especially the RSG.…”
As a crucial paradigm for addressing urbanization-related problems, smart community construction is in full swing, and its goal is to enhance residents’ sense of gain. Prior studies have not been able to account for all aspects of smart community construction, especially the evaluation tools from the perspective of residents’ sense of gain. Therefore, this paper seeks to establish a comprehensive evaluation framework for residents’ sense of gain in the smart community through the integrated method, which includes the entropy weight method (EWM), the fuzzy comprehensive evaluation (FCE), and the obstacle degree model (ODM). For the purpose of verifying the feasibility of the evaluation framework, 31 smart communities in 6 Chinese cities (Shenzhen City, Putian City, Huizhou City, Dongguan City, Zhengzhou City, and Luoyang City) were selected. The results indicated that the weight of “Cultural activities for the elderly” indicator is the highest while the “Overall design” indicator is the lowest. In addition, Putian City had the best performance, but Shenzhen City ranked last among the six cities. Moreover, among the 31 communities, the Fengshan community in Putian City performed the best while the Xinglong community in Luoyang City performed the worst. Several suggestions are proposed to improve residents’ sense of gain in smart communities, such as enhancing the quality of healthcare services, meeting the needs of the elderly through multiple channels, and enriching business services. This study not only innovates the evaluation method of smart community construction from the perspective of residents’ sense of gain but also provides suggestions for promoting the sustainable development of the smart community and enabling residents to feel more satisfied.
“…Layanan untuk analisis dan peramalan investasi pada jasa perumahan menggunakan smart system agar dapat lebih interaktif terhadap pengguna [11]. Selain itu, penelitian [5], [12]- [14] menggunakan pendekatan smart system untuk meningkatkan partisipasi aktif para pengguna atau masyarakat dalam menyelesaikan masalah di sekitar. Sistem yang dibuat dapat mengambil data dari interaksi social di internet yang kemudian diolah agar mampu membatu memberikan solusi terhadap masalah-masalah yang dihadapi.…”
Section: Analisis Pemikiran Thoman Kuhn: Smart System Sebagai Normal ...unclassified
Artikel ini memuat pembahasan terhadap aspek filsafat sains pada domain smart system. Smart system yang merupakan sub dari Artificial Intellegence (AI) terus berkembang dan semakin banyak diterapkan di berbagai aspek kehidupan. Mulai dari aspek kesehatan, social, politik, budaya, pendidikan, bisnis, budaya, serta aspek lainnya. Melalui kajian filsafat sains baik dari pemikiran Thomas S. Kuhn dan Imre Lakatos, smart system termasuk dalam spesifikasi normal sains dan progresif sains yang ditandai dengan masih akan terus berkembangnya riset di bidang ini. Luasnya aspek pengembangan smart system ini menjadikan potensi riset yang mengandung bias penelitian, etis dan moral yang negative, serta pseudosains. Penulisan artikel ini menggunakan metode studi pustaka atau library research dan pendekatan analisis konten atau content analysis. Dari kajian filsafat sains diketahui upaya pencegahan dari pseudosains dapat dilakukan dengan mengedapankan failsifikasi, metode ilmiah, dan pembuatan aturan dan batasan yang jelas. Bias penelitian dapat dihindari dengan pemilihan metodologi riset yang terpantau dan terawasi melalui pengacakan sample. Nilai etika dan moralitas harus diperhatikan baik sebagai ilmuwan maupun individu dengan mengedapankan etika normative dan terapan.
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