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作者

Woo Chang Kang;Sunkyoung Park

来源

CITIES,Vol.135,Issue1,Article 104153

语言

英文

关键字

作者单位

Department of Political Science and International Relations, Korea University, Republic of Korea;Department of Political Science and International Studies, Incheon National University, Republic of Korea;Department of Political Science and International Relations, Korea University, Republic of Korea;Department of Political Science and International Studies, Incheon National University, Republic of Korea;School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China;Shunde Innovation School, University of Science and Technology Beijing, Foshan, Guangdong 528399, China;Computer Science and Engineering, Graphic Era Hill University, Dehradun, M.Tech, Graphic Era Deemed to Be University, Dehradun, 248002, Uttarakhand, India;BITS Pilani, India;Department of CSE, Koneru Lakshmaiah Education Foundation, Vijayawada, Andhra Pradesh, India;Department of Electronics and Communication Engineering,Amrita School of Engineering Coimbatore, Amrita Vishwa Vidyapeetham, India;School of Computer Science and Engineering, VIT-AP University, Amaravati, 522237, Andhra Pradesh, India;Department of Mechanical Engineering, Prathyusha Engineering College, Aranvoyalkuppam, Tiruvallur, Chennai, Tamil Nadu, 602025, India;National Institute of Information and Communications Technology (NICT), Tokyo 184-8795, Japan;Meiji University, Kanagawa, 214-8571, Japan;Department of Electronic Engineering, Kwangwoon University, Seoul 01897, South Korea;Nano Device Application Center, Kwangwoon University, Seoul 01897, South Korea;Aix-Marseille University, University of Toulon, CNRS, LIS, Marseille, France;Jean Monnet University, LASPI Laboratory, Roanne, France;Moulay Ismail University, IA Laboratory, Meknes, Morocco;Full length article"}]},{"#name":"title","$":{"id":"d1e570"},"_":"Big data analytics-based approach for robust, flexible and sustainable collaborative networked enterprises"}],"floats":[],"footnotes":[],"attachments":[]},"openArchive":false,"openAccess":false,"document-subtype":"fla","content-family":"serial","contentType":"JL","abstract":{"$$":[{"$$":[{"$":{"id":"d1e672"},"#name":"section-title","_":"Abstract"},{"$$":[{"$":{"view":"all","id":"d1e675"},"#name":"simple-para","_":"Networked enterprises (NEs) in the current business are constantly under pressure from stakeholders and government restrictions to encourage ethical and transparent behavior in using natural resources, and their impacts on nearby and global ecosystems, people, and communities. In addition, NEs face vulnerable economical challenges including, market changes, personalized consumer trends, as well as, environmental and social restrictions. In this context, this paper addresses the problem of sustainable NEs vulnerabilities. To do so, a big data analytics-based approach is developed to drive sustainable NEs flexibility and robustness. More specifically, flexibility refers to the network’s ability to respond quickly to changes and risks. While robustness concerns the development of optimum and long-term strategies enabling the network to cope with severe environmental risks and economical costs. Moreover, even if the literature is rich with Big Data models and frameworks developed for sustainable enterprises, there is a real need to scale and extend existing models to cover all sustainability pillars (i.e., social, environmental, and economical) and sustainable value creation (SVC). Accordingly, flexibility and robustness coupling with big data analytics (BDA) levels (i.e. descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics) will enable NEs to grow sustainability in order to create sustainable value. Finally, to demonstrate the applicability of the developed approach, the corporate environmental impact (CEI) database is used to evaluate the sustainable development goals (SDGs) of NEs. The obtained numerical results show the efficiency of our approach."}],"$":{"view":"all","id":"d1e674"},"#name":"abstract-sec"}],"$":{"view":"all","id":"d1e671","class":"author"},"#name":"abstract"},{"$$":[{"$":{"id":"d1e678"},"#name":"section-title","_":"Highlights"},{"$$":[{"$$":[{"$$":[{"$$":[{"#name":"label","_":"•"},{"$":{"view":"all","id":"d1e687"},"#name":"para","_":"This work shows the role of BDA in enhancing networked enterprises’ sustainability."}],"$":{"id":"d1e684"},"#name":"list-item"},{"$$":[{"#name":"label","_":"•"},{"$":{"view":"all","id":"d1e692"},"#name":"para","_":"A BDA-based approach is developed to drive sustainability of networked enterprises."}],"$":{"id":"d1e689"},"#name":"list-item"},{"$$":[{"#name":"label","_":"•"},{"$":{"view":"all","id":"d1e697"},"#name":"para","_":"The approach considers the robustness and flexibility of the networks."}],"$":{"id":"d1e694"},"#name":"list-item"},{"$$":[{"#name":"label","_":"•"},{"$":{"view":"all","id":"d1e702"},"#name":"para","_":"The economic, environmental and social sustainability issues are addressed."}],"$":{"id":"d1e699"},"#name":"list-item"},{"$$":[{"#name":"label","_":"•"},{"$":{"view":"all","id":"d1e707"},"#name":"para","_":"A real-life case study is used to validate the approach."}],"$":{"id":"d1e704"},"#name":"list-item"}],"$":{"id":"d1e683"},"#name":"list"}],"$":{"view":"all","id":"d1e681"},"#name":"simple-para"}],"$":{"view":"all","id":"d1e680"},"#name":"abstract-sec"}],"$":{"view":"all","id":"d1e677","class":"author-highlights"},"#name":"abstract"}],"$":{"xmlns:ce":true,"xmlns:dm":true,"xmlns:sb":true},"#name":"abstracts"},"pdf":{"urlType":"download","url":"/science/article/pii/S1474034623000010/pdfft?md5=5692236138ec682db8d53ece73737473&pid=1-s2.0-S1474034623000010-main.pdf"},"iss-first":"","vol-first":"55","isThirdParty":false,"issn-primary-unformatted":"14740346","issn-primary-formatted":"1474-0346"},{"pii":"S0167404823000032","doi":"10.1016/j.cose.2023.103093","journalTitle":"Computers & Security","publicationYear":"2023","publicationDate":"2023-04-01","volumeSupText":"Volume 127","articleNumber":"103093","pageRange":"103093","trace-token":"AAAAQHWvCfTiF58FD-QjDeAgih5IbMjgiH6v7zLKPmLXdDwlbfocnuIOJqtxf33pGQ_Gz5CyAAVTQSy1KhDoNzU2tQyPCqEOmgQTLiq4UxH0xInM0XiBIw","authors":{"content":[{"#name":"author-group","$":{"id":"aut0001"},"$$":[{"#name":"author","$":{"id":"au0001","biographyid":"b1","author-id":"S0167404823000032-1bbd458b116f447fc713f62f5976ddc9","orcid":"0000-0002-3154-0144"},"$$":[{"#name":"given-name","_":"Ignacio Samuel;Supercomputación Castilla y León (SCAYLE), Campus de Vegazana s/n, León 24071, Spain;Robotics Group, University of León, Campus de Vegazana s/n, León 24071, Spain

摘要

Are homeowners happier if housing prices increase? While many studies have examined homeownership and subjective well-being, the effect of changes in local housing prices on subjective well-being has been less studied. We argue that a change in local housing prices has divergent effects on the subjective well-being of homeowners versus renters, and these effects vary with the housing market cycle. Using data on the annual change in the average transaction price for residential housing in local districts of Seoul, South Korea from 2008 to 2018, we find that homeowners have higher subjective well-being than renters, and the gap between homeowners and renters grows as housing prices increase, mainly because renters become less happy while homeowners' happiness varies with overall housing market conditions in their city. Homeowners' subjective well-being increases only when housing prices go up in their own neighborhood while the citywide housing market remains stable. During an escalating housing market, increasing prices make both homeowners and renters less happy.