Applications of Data Envelopment Analysis in Development and Assessment of Sustainability Across Economic, Environmental and Social Dimensions
Recently, senior managers are paying much more attention to the environmental aspects of decision-making units. Technically, global economy is inextricably connected to the environment, as it is heavily dependent on extraction and exploitation of natural resources. In this article, we try to propose...
Gespeichert in:
Veröffentlicht in: | International journal of advanced computer science & applications 2018, Vol.9 (7) |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 7 |
container_start_page | |
container_title | International journal of advanced computer science & applications |
container_volume | 9 |
creator | Hosseini, Hamid Ali, Abbas Fanati, Sara |
description | Recently, senior managers are paying much more attention to the environmental aspects of decision-making units. Technically, global economy is inextricably connected to the environment, as it is heavily dependent on extraction and exploitation of natural resources. In this article, we try to propose a number of models for efficiency evaluation that combine the growing concepts in environmental areas along with social and economic subjects. Generally speaking, if economic growth is to be continuous and effective in the long term, it must be based on a combination of economic, environmental and social components. The existing literature on data envelopment analysis (DEA) is often based on economic efficiency. However, due to the environmental pollution at a global level, there have been recent studies in relation to sustainability efficiency with focus on environmental and social aspects; although, these studies were limited and left much room for further research. The present study evaluates the efficiency of decision-making units using social, economic and environmental indicators, and tries to minimize the flaws of DEA in the proposed models by making relative comparisons to previous models. |
doi_str_mv | 10.14569/IJACSA.2018.090722 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2656410780</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2656410780</sourcerecordid><originalsourceid>FETCH-LOGICAL-c272t-abe8a8960941e7d8404c8b76ee9cfb81b0e6e68d622ef2343c9b03165bdf7d413</originalsourceid><addsrcrecordid>eNpFkNtKw0AQhhdRsNQ-gTcL3pq6h2SzuQxtrZWCF1XwbtlsNrAl3Y2ZVOhL-MzmIDg3c-Cfn5kPoXtKljRORPa0e81Xh3zJCJVLkpGUsSs0YzQRUZKk5HqsZURJ-nmLFgBH0gfPmJB8hn7ypqmd0Z0LHnCo8Fp3Gm_8t61Dc7K-w7nX9QUcYOfx2v7PtS9xDmABxrZfPZyh087rwtWuu-DctAEAb0zw4eTM4-Dq2uAHua7H_UMwri_Xrp_BcMEduql0DXbxl-fo43nzvnqJ9m_b3SrfR4alrIt0YaWWmSBZTG1aypjERhapsDYzVSFpQaywQpaCMVsxHnOTFYRTkRRllZYx5XP0MPk2bfg6W-jUMZzb_lNQTCQi7mFJ0qv4pBo_aW2lmtaddHtRlKiRvZrYq4G9mtjzX2Q0ekQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2656410780</pqid></control><display><type>article</type><title>Applications of Data Envelopment Analysis in Development and Assessment of Sustainability Across Economic, Environmental and Social Dimensions</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Hosseini, Hamid ; Ali, Abbas ; Fanati, Sara</creator><creatorcontrib>Hosseini, Hamid ; Ali, Abbas ; Fanati, Sara</creatorcontrib><description>Recently, senior managers are paying much more attention to the environmental aspects of decision-making units. Technically, global economy is inextricably connected to the environment, as it is heavily dependent on extraction and exploitation of natural resources. In this article, we try to propose a number of models for efficiency evaluation that combine the growing concepts in environmental areas along with social and economic subjects. Generally speaking, if economic growth is to be continuous and effective in the long term, it must be based on a combination of economic, environmental and social components. The existing literature on data envelopment analysis (DEA) is often based on economic efficiency. However, due to the environmental pollution at a global level, there have been recent studies in relation to sustainability efficiency with focus on environmental and social aspects; although, these studies were limited and left much room for further research. The present study evaluates the efficiency of decision-making units using social, economic and environmental indicators, and tries to minimize the flaws of DEA in the proposed models by making relative comparisons to previous models.</description><identifier>ISSN: 2158-107X</identifier><identifier>EISSN: 2156-5570</identifier><identifier>DOI: 10.14569/IJACSA.2018.090722</identifier><language>eng</language><publisher>West Yorkshire: Science and Information (SAI) Organization Limited</publisher><subject>Data analysis ; Data envelopment analysis ; Decision making ; Economic analysis ; Economic development ; Efficiency ; Evaluation ; Global economy ; Natural resources ; Social factors ; Sustainability</subject><ispartof>International journal of advanced computer science & applications, 2018, Vol.9 (7)</ispartof><rights>2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids></links><search><creatorcontrib>Hosseini, Hamid</creatorcontrib><creatorcontrib>Ali, Abbas</creatorcontrib><creatorcontrib>Fanati, Sara</creatorcontrib><title>Applications of Data Envelopment Analysis in Development and Assessment of Sustainability Across Economic, Environmental and Social Dimensions</title><title>International journal of advanced computer science & applications</title><description>Recently, senior managers are paying much more attention to the environmental aspects of decision-making units. Technically, global economy is inextricably connected to the environment, as it is heavily dependent on extraction and exploitation of natural resources. In this article, we try to propose a number of models for efficiency evaluation that combine the growing concepts in environmental areas along with social and economic subjects. Generally speaking, if economic growth is to be continuous and effective in the long term, it must be based on a combination of economic, environmental and social components. The existing literature on data envelopment analysis (DEA) is often based on economic efficiency. However, due to the environmental pollution at a global level, there have been recent studies in relation to sustainability efficiency with focus on environmental and social aspects; although, these studies were limited and left much room for further research. The present study evaluates the efficiency of decision-making units using social, economic and environmental indicators, and tries to minimize the flaws of DEA in the proposed models by making relative comparisons to previous models.</description><subject>Data analysis</subject><subject>Data envelopment analysis</subject><subject>Decision making</subject><subject>Economic analysis</subject><subject>Economic development</subject><subject>Efficiency</subject><subject>Evaluation</subject><subject>Global economy</subject><subject>Natural resources</subject><subject>Social factors</subject><subject>Sustainability</subject><issn>2158-107X</issn><issn>2156-5570</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpFkNtKw0AQhhdRsNQ-gTcL3pq6h2SzuQxtrZWCF1XwbtlsNrAl3Y2ZVOhL-MzmIDg3c-Cfn5kPoXtKljRORPa0e81Xh3zJCJVLkpGUsSs0YzQRUZKk5HqsZURJ-nmLFgBH0gfPmJB8hn7ypqmd0Z0LHnCo8Fp3Gm_8t61Dc7K-w7nX9QUcYOfx2v7PtS9xDmABxrZfPZyh087rwtWuu-DctAEAb0zw4eTM4-Dq2uAHua7H_UMwri_Xrp_BcMEduql0DXbxl-fo43nzvnqJ9m_b3SrfR4alrIt0YaWWmSBZTG1aypjERhapsDYzVSFpQaywQpaCMVsxHnOTFYRTkRRllZYx5XP0MPk2bfg6W-jUMZzb_lNQTCQi7mFJ0qv4pBo_aW2lmtaddHtRlKiRvZrYq4G9mtjzX2Q0ekQ</recordid><startdate>2018</startdate><enddate>2018</enddate><creator>Hosseini, Hamid</creator><creator>Ali, Abbas</creator><creator>Fanati, Sara</creator><general>Science and Information (SAI) Organization Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>2018</creationdate><title>Applications of Data Envelopment Analysis in Development and Assessment of Sustainability Across Economic, Environmental and Social Dimensions</title><author>Hosseini, Hamid ; Ali, Abbas ; Fanati, Sara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c272t-abe8a8960941e7d8404c8b76ee9cfb81b0e6e68d622ef2343c9b03165bdf7d413</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Data analysis</topic><topic>Data envelopment analysis</topic><topic>Decision making</topic><topic>Economic analysis</topic><topic>Economic development</topic><topic>Efficiency</topic><topic>Evaluation</topic><topic>Global economy</topic><topic>Natural resources</topic><topic>Social factors</topic><topic>Sustainability</topic><toplevel>online_resources</toplevel><creatorcontrib>Hosseini, Hamid</creatorcontrib><creatorcontrib>Ali, Abbas</creatorcontrib><creatorcontrib>Fanati, Sara</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>International journal of advanced computer science & applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hosseini, Hamid</au><au>Ali, Abbas</au><au>Fanati, Sara</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Applications of Data Envelopment Analysis in Development and Assessment of Sustainability Across Economic, Environmental and Social Dimensions</atitle><jtitle>International journal of advanced computer science & applications</jtitle><date>2018</date><risdate>2018</risdate><volume>9</volume><issue>7</issue><issn>2158-107X</issn><eissn>2156-5570</eissn><abstract>Recently, senior managers are paying much more attention to the environmental aspects of decision-making units. Technically, global economy is inextricably connected to the environment, as it is heavily dependent on extraction and exploitation of natural resources. In this article, we try to propose a number of models for efficiency evaluation that combine the growing concepts in environmental areas along with social and economic subjects. Generally speaking, if economic growth is to be continuous and effective in the long term, it must be based on a combination of economic, environmental and social components. The existing literature on data envelopment analysis (DEA) is often based on economic efficiency. However, due to the environmental pollution at a global level, there have been recent studies in relation to sustainability efficiency with focus on environmental and social aspects; although, these studies were limited and left much room for further research. The present study evaluates the efficiency of decision-making units using social, economic and environmental indicators, and tries to minimize the flaws of DEA in the proposed models by making relative comparisons to previous models.</abstract><cop>West Yorkshire</cop><pub>Science and Information (SAI) Organization Limited</pub><doi>10.14569/IJACSA.2018.090722</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2158-107X |
ispartof | International journal of advanced computer science & applications, 2018, Vol.9 (7) |
issn | 2158-107X 2156-5570 |
language | eng |
recordid | cdi_proquest_journals_2656410780 |
source | EZB-FREE-00999 freely available EZB journals |
subjects | Data analysis Data envelopment analysis Decision making Economic analysis Economic development Efficiency Evaluation Global economy Natural resources Social factors Sustainability |
title | Applications of Data Envelopment Analysis in Development and Assessment of Sustainability Across Economic, Environmental and Social Dimensions |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T03%3A50%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Applications%20of%20Data%20Envelopment%20Analysis%20in%20Development%20and%20Assessment%20of%20Sustainability%20Across%20Economic,%20Environmental%20and%20Social%20Dimensions&rft.jtitle=International%20journal%20of%20advanced%20computer%20science%20&%20applications&rft.au=Hosseini,%20Hamid&rft.date=2018&rft.volume=9&rft.issue=7&rft.issn=2158-107X&rft.eissn=2156-5570&rft_id=info:doi/10.14569/IJACSA.2018.090722&rft_dat=%3Cproquest_cross%3E2656410780%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2656410780&rft_id=info:pmid/&rfr_iscdi=true |