Modelling the relationship between green built environment and occupants’ productivity
Purpose The purpose of the study presented in this paper is to determine the relationship and effect of built environment on occupants’ productivity in green-certified office buildings in Sri Lanka. Design/methodology/approach Two research hypotheses were tested by approaching the survey method unde...
Gespeichert in:
| Veröffentlicht in: | Facilities (Bradford, West Yorkshire, England) West Yorkshire, England), 2017-03, Vol.35 (3/4), p.170-187 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 187 |
|---|---|
| container_issue | 3/4 |
| container_start_page | 170 |
| container_title | Facilities (Bradford, West Yorkshire, England) |
| container_volume | 35 |
| creator | Mallawaarachchi, Harshini De Silva, Lalith Rameezdeen, Raufdeen |
| description | Purpose
The purpose of the study presented in this paper is to determine the relationship and effect of built environment on occupants’ productivity in green-certified office buildings in Sri Lanka.
Design/methodology/approach
Two research hypotheses were tested by approaching the survey method under the quantitative phenomenon. The questionnaire survey was conducted among randomly selected occupants in three selected green-rated office buildings in Sri Lanka. The survey data were analysed by using the Spearman correlation and ordinal logistic regression analysis techniques to model the relationship existing between the variables. The SPSS v20 software was used in data analysis.
Findings
The findings confirm the relationship between built environment and occupants’ productivity. As it further proves that, there is a significant effect of built environment on occupants’ productivity in green-certified office buildings. Thus, critical built environment factors influencing occupants’ productivity and their effect were determined.
Practical implications
The findings could be practically implied as bases to strengthen the evaluation criteria of indoor environmental quality in GREENSL® national green-rating system.
Originality/value
The evaluation of occupants’ productivity and the built environment factors has been at the focal point of research; however, most studies have focused on single aspects of the built environment. Further, no evidences were found on “which factors” can critically influence the occupants’ productivity in green buildings. The paper, therefore, seeks to fill this gap by proving the relationship between green built environment and occupants’ productivity. |
| doi_str_mv | 10.1108/F-07-2015-0052 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1879964553</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4321089563</sourcerecordid><originalsourceid>FETCH-LOGICAL-c305t-cc1da898b204ba8cbd001fe060de689202a322896cd7ae2da4647d823086e5993</originalsourceid><addsrcrecordid>eNplkLFOwzAQhi0EEqWwMkdidjnbSeyMqKKAVMQCEpvl2Nc2VeoExyli4zV4PZ6ERGVBLHfL999_-gi5ZDBjDNT1goKkHFhGATJ-RCZMZopKJtgxmQDPBeVS8lNy1nVbAMaFgAl5fWwc1nXl10ncYBKwNrFqfLep2qTE-I7ok3UYZ9lXdUzQ76vQ-B36mBjvksbavjU-dt-fX0kbGtfbWO2r-HFOTlam7vDid0_Jy-L2eX5Pl093D_ObJbUCskitZc6oQpUc0tIoW7rhtRVCDg5zVXDgRnCuitw6aZA7k-apdIoLUDlmRSGm5Opwdyh_67GLetv0wQ-VmilZFHmaZWKgZgfKhqbrAq50G6qdCR-agR7t6YUGqUd7erQ3BOghgDsMpnb_-T-2xQ9WV3Ew</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1879964553</pqid></control><display><type>article</type><title>Modelling the relationship between green built environment and occupants’ productivity</title><source>Emerald A-Z Current Journals</source><creator>Mallawaarachchi, Harshini ; De Silva, Lalith ; Rameezdeen, Raufdeen</creator><creatorcontrib>Mallawaarachchi, Harshini ; De Silva, Lalith ; Rameezdeen, Raufdeen</creatorcontrib><description>Purpose
The purpose of the study presented in this paper is to determine the relationship and effect of built environment on occupants’ productivity in green-certified office buildings in Sri Lanka.
Design/methodology/approach
Two research hypotheses were tested by approaching the survey method under the quantitative phenomenon. The questionnaire survey was conducted among randomly selected occupants in three selected green-rated office buildings in Sri Lanka. The survey data were analysed by using the Spearman correlation and ordinal logistic regression analysis techniques to model the relationship existing between the variables. The SPSS v20 software was used in data analysis.
Findings
The findings confirm the relationship between built environment and occupants’ productivity. As it further proves that, there is a significant effect of built environment on occupants’ productivity in green-certified office buildings. Thus, critical built environment factors influencing occupants’ productivity and their effect were determined.
Practical implications
The findings could be practically implied as bases to strengthen the evaluation criteria of indoor environmental quality in GREENSL® national green-rating system.
Originality/value
The evaluation of occupants’ productivity and the built environment factors has been at the focal point of research; however, most studies have focused on single aspects of the built environment. Further, no evidences were found on “which factors” can critically influence the occupants’ productivity in green buildings. The paper, therefore, seeks to fill this gap by proving the relationship between green built environment and occupants’ productivity.</description><identifier>ISSN: 0263-2772</identifier><identifier>EISSN: 1758-7131</identifier><identifier>DOI: 10.1108/F-07-2015-0052</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Built environment ; Case studies ; Construction ; Correlation analysis ; Data analysis ; Environmental quality ; Estimates ; Floor coverings ; Green buildings ; Green development ; Hypotheses ; Indoor air quality ; Indoor environmental quality ; Indoor environments ; Influence ; Lighting ; Office buildings ; Office space ; Productivity ; Questionnaires ; Regression analysis ; Regression models ; Urban environments ; Ventilation ; Work environment</subject><ispartof>Facilities (Bradford, West Yorkshire, England), 2017-03, Vol.35 (3/4), p.170-187</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c305t-cc1da898b204ba8cbd001fe060de689202a322896cd7ae2da4647d823086e5993</citedby><cites>FETCH-LOGICAL-c305t-cc1da898b204ba8cbd001fe060de689202a322896cd7ae2da4647d823086e5993</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/F-07-2015-0052/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,780,784,967,11635,27924,27925,52689</link.rule.ids></links><search><creatorcontrib>Mallawaarachchi, Harshini</creatorcontrib><creatorcontrib>De Silva, Lalith</creatorcontrib><creatorcontrib>Rameezdeen, Raufdeen</creatorcontrib><title>Modelling the relationship between green built environment and occupants’ productivity</title><title>Facilities (Bradford, West Yorkshire, England)</title><description>Purpose
The purpose of the study presented in this paper is to determine the relationship and effect of built environment on occupants’ productivity in green-certified office buildings in Sri Lanka.
Design/methodology/approach
Two research hypotheses were tested by approaching the survey method under the quantitative phenomenon. The questionnaire survey was conducted among randomly selected occupants in three selected green-rated office buildings in Sri Lanka. The survey data were analysed by using the Spearman correlation and ordinal logistic regression analysis techniques to model the relationship existing between the variables. The SPSS v20 software was used in data analysis.
Findings
The findings confirm the relationship between built environment and occupants’ productivity. As it further proves that, there is a significant effect of built environment on occupants’ productivity in green-certified office buildings. Thus, critical built environment factors influencing occupants’ productivity and their effect were determined.
Practical implications
The findings could be practically implied as bases to strengthen the evaluation criteria of indoor environmental quality in GREENSL® national green-rating system.
Originality/value
The evaluation of occupants’ productivity and the built environment factors has been at the focal point of research; however, most studies have focused on single aspects of the built environment. Further, no evidences were found on “which factors” can critically influence the occupants’ productivity in green buildings. The paper, therefore, seeks to fill this gap by proving the relationship between green built environment and occupants’ productivity.</description><subject>Built environment</subject><subject>Case studies</subject><subject>Construction</subject><subject>Correlation analysis</subject><subject>Data analysis</subject><subject>Environmental quality</subject><subject>Estimates</subject><subject>Floor coverings</subject><subject>Green buildings</subject><subject>Green development</subject><subject>Hypotheses</subject><subject>Indoor air quality</subject><subject>Indoor environmental quality</subject><subject>Indoor environments</subject><subject>Influence</subject><subject>Lighting</subject><subject>Office buildings</subject><subject>Office space</subject><subject>Productivity</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Urban environments</subject><subject>Ventilation</subject><subject>Work environment</subject><issn>0263-2772</issn><issn>1758-7131</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNplkLFOwzAQhi0EEqWwMkdidjnbSeyMqKKAVMQCEpvl2Nc2VeoExyli4zV4PZ6ERGVBLHfL999_-gi5ZDBjDNT1goKkHFhGATJ-RCZMZopKJtgxmQDPBeVS8lNy1nVbAMaFgAl5fWwc1nXl10ncYBKwNrFqfLep2qTE-I7ok3UYZ9lXdUzQ76vQ-B36mBjvksbavjU-dt-fX0kbGtfbWO2r-HFOTlam7vDid0_Jy-L2eX5Pl093D_ObJbUCskitZc6oQpUc0tIoW7rhtRVCDg5zVXDgRnCuitw6aZA7k-apdIoLUDlmRSGm5Opwdyh_67GLetv0wQ-VmilZFHmaZWKgZgfKhqbrAq50G6qdCR-agR7t6YUGqUd7erQ3BOghgDsMpnb_-T-2xQ9WV3Ew</recordid><startdate>20170307</startdate><enddate>20170307</enddate><creator>Mallawaarachchi, Harshini</creator><creator>De Silva, Lalith</creator><creator>Rameezdeen, Raufdeen</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7TA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>K6~</scope><scope>KR7</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>M0C</scope><scope>M2P</scope><scope>M7S</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20170307</creationdate><title>Modelling the relationship between green built environment and occupants’ productivity</title><author>Mallawaarachchi, Harshini ; De Silva, Lalith ; Rameezdeen, Raufdeen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c305t-cc1da898b204ba8cbd001fe060de689202a322896cd7ae2da4647d823086e5993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Built environment</topic><topic>Case studies</topic><topic>Construction</topic><topic>Correlation analysis</topic><topic>Data analysis</topic><topic>Environmental quality</topic><topic>Estimates</topic><topic>Floor coverings</topic><topic>Green buildings</topic><topic>Green development</topic><topic>Hypotheses</topic><topic>Indoor air quality</topic><topic>Indoor environmental quality</topic><topic>Indoor environments</topic><topic>Influence</topic><topic>Lighting</topic><topic>Office buildings</topic><topic>Office space</topic><topic>Productivity</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Urban environments</topic><topic>Ventilation</topic><topic>Work environment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mallawaarachchi, Harshini</creatorcontrib><creatorcontrib>De Silva, Lalith</creatorcontrib><creatorcontrib>Rameezdeen, Raufdeen</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Materials Business File</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Business Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Facilities (Bradford, West Yorkshire, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mallawaarachchi, Harshini</au><au>De Silva, Lalith</au><au>Rameezdeen, Raufdeen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling the relationship between green built environment and occupants’ productivity</atitle><jtitle>Facilities (Bradford, West Yorkshire, England)</jtitle><date>2017-03-07</date><risdate>2017</risdate><volume>35</volume><issue>3/4</issue><spage>170</spage><epage>187</epage><pages>170-187</pages><issn>0263-2772</issn><eissn>1758-7131</eissn><abstract>Purpose
The purpose of the study presented in this paper is to determine the relationship and effect of built environment on occupants’ productivity in green-certified office buildings in Sri Lanka.
Design/methodology/approach
Two research hypotheses were tested by approaching the survey method under the quantitative phenomenon. The questionnaire survey was conducted among randomly selected occupants in three selected green-rated office buildings in Sri Lanka. The survey data were analysed by using the Spearman correlation and ordinal logistic regression analysis techniques to model the relationship existing between the variables. The SPSS v20 software was used in data analysis.
Findings
The findings confirm the relationship between built environment and occupants’ productivity. As it further proves that, there is a significant effect of built environment on occupants’ productivity in green-certified office buildings. Thus, critical built environment factors influencing occupants’ productivity and their effect were determined.
Practical implications
The findings could be practically implied as bases to strengthen the evaluation criteria of indoor environmental quality in GREENSL® national green-rating system.
Originality/value
The evaluation of occupants’ productivity and the built environment factors has been at the focal point of research; however, most studies have focused on single aspects of the built environment. Further, no evidences were found on “which factors” can critically influence the occupants’ productivity in green buildings. The paper, therefore, seeks to fill this gap by proving the relationship between green built environment and occupants’ productivity.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/F-07-2015-0052</doi><tpages>18</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0263-2772 |
| ispartof | Facilities (Bradford, West Yorkshire, England), 2017-03, Vol.35 (3/4), p.170-187 |
| issn | 0263-2772 1758-7131 |
| language | eng |
| recordid | cdi_proquest_journals_1879964553 |
| source | Emerald A-Z Current Journals |
| subjects | Built environment Case studies Construction Correlation analysis Data analysis Environmental quality Estimates Floor coverings Green buildings Green development Hypotheses Indoor air quality Indoor environmental quality Indoor environments Influence Lighting Office buildings Office space Productivity Questionnaires Regression analysis Regression models Urban environments Ventilation Work environment |
| title | Modelling the relationship between green built environment and occupants’ productivity |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T20%3A56%3A39IST&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=Modelling%20the%20relationship%20between%20green%20built%20environment%20and%20occupants%E2%80%99%20productivity&rft.jtitle=Facilities%20(Bradford,%20West%20Yorkshire,%20England)&rft.au=Mallawaarachchi,%20Harshini&rft.date=2017-03-07&rft.volume=35&rft.issue=3/4&rft.spage=170&rft.epage=187&rft.pages=170-187&rft.issn=0263-2772&rft.eissn=1758-7131&rft_id=info:doi/10.1108/F-07-2015-0052&rft_dat=%3Cproquest_cross%3E4321089563%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=1879964553&rft_id=info:pmid/&rfr_iscdi=true |