Workforce development: understanding task-level job demands-resources, burnout, and performance in unskilled construction workers

•How job characteristics interact with burnout to influence performance.•Protocols for integrating wearable sensors into burnout research.•The direct effect of personal resources on productivity.•The full mediating effect of exhaustion between task demands and productivity.•The partial mediating eff...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Safety science 2020-03, Vol.123, p.104577, Article 104577
Hauptverfasser: Lee, Wonil, Migliaccio, Giovanni C., Lin, Ken-Yu, Seto, Edmund Y.W.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page 104577
container_title Safety science
container_volume 123
creator Lee, Wonil
Migliaccio, Giovanni C.
Lin, Ken-Yu
Seto, Edmund Y.W.
description •How job characteristics interact with burnout to influence performance.•Protocols for integrating wearable sensors into burnout research.•The direct effect of personal resources on productivity.•The full mediating effect of exhaustion between task demands and productivity.•The partial mediating effect of disengagement between personal resources and safety. This study examines how task demands and personal resources affect unskilled construction worker productivity and safety performance. It extends the job demands-resources (JD-R) burnout model to show how job characteristics interact with burnout to influence performance. A modified model was designed to measure burnout, with exhaustion and disengagement among unskilled construction workers taken into consideration. An observational study was conducted in a laboratory environment to test the research hypotheses and assess the prediction accuracies of outcome constructs. Twenty-two subjects participated in multiple experiments designed to expose them to varying levels of task-demands and to record their personal resources as they performed common construction material-handling tasks. Specifically, both surveys and physiological measurements using wearable sensors were used to operationalize the model constructs. Moreover, partial least squares structural equation modeling was applied to analyze data collected at the task and individual levels. Exhaustion and disengagement exhibited different relationships with productivity and safety performance outcomes as measured by unit rate productivity and ergonomic behavior, respectively. Subjects with high burnout and high engagement showed high productivity but low safety performance. Thus, exhausted workers stand a greater chance of failing to comply with safety. As the sample and the task performed in the experiment do not cover the experience and trade of all construction workers, our findings are limited in their application to entry-level and unskilled workers, whose work is mainly manual material-handling tasks.
doi_str_mv 10.1016/j.ssci.2019.104577
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2371445580</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0925753519321885</els_id><sourcerecordid>2371445580</sourcerecordid><originalsourceid>FETCH-LOGICAL-c328t-3c4013c555f8585ac61a3f3ad99e5a507830407e67b4eb29bd62f73298e5677d3</originalsourceid><addsrcrecordid>eNp9UE1r2zAYFmWDZun-wE6CXuNMH5Zlj15KWbtBYJeWHoUtvS5yHCmT5I4e-8_3huy8k5CeTz2EfOFsyxlvvk7bnK3fCsY7fKiV1hdkxVvdVXgTH8iKdUJVWkl1ST7lPDHGuGz4irw_x7QfY7JAHbzCHI8HCOUbXYKDlEsfnA8vtPR5X80nnE5xQOYBgVwlyHFBad7QYUkhLmVDEaBHSGiJHHT1Ab3y3s8zOGpjyCUttvgY6B9Mxowr8nHs5wyf_51r8nT__fHuR7X79fDz7nZXWSnaUklbY2WrlBpb1areNryXo-xd14HqFdOtZDXT0OihhkF0g2vEqKXoWlCN1k6uyfXZ95ji7wVyMROWDxhphNS8rpVqGbLEmWVTzDnBaI7JH_r0Zjgzp6nNZE5Tm9PU5jw1im7OIsD-rx6SQQbg751PYItx0f9P_hfUKIoz</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2371445580</pqid></control><display><type>article</type><title>Workforce development: understanding task-level job demands-resources, burnout, and performance in unskilled construction workers</title><source>Elsevier ScienceDirect Journals</source><creator>Lee, Wonil ; Migliaccio, Giovanni C. ; Lin, Ken-Yu ; Seto, Edmund Y.W.</creator><creatorcontrib>Lee, Wonil ; Migliaccio, Giovanni C. ; Lin, Ken-Yu ; Seto, Edmund Y.W.</creatorcontrib><description>•How job characteristics interact with burnout to influence performance.•Protocols for integrating wearable sensors into burnout research.•The direct effect of personal resources on productivity.•The full mediating effect of exhaustion between task demands and productivity.•The partial mediating effect of disengagement between personal resources and safety. This study examines how task demands and personal resources affect unskilled construction worker productivity and safety performance. It extends the job demands-resources (JD-R) burnout model to show how job characteristics interact with burnout to influence performance. A modified model was designed to measure burnout, with exhaustion and disengagement among unskilled construction workers taken into consideration. An observational study was conducted in a laboratory environment to test the research hypotheses and assess the prediction accuracies of outcome constructs. Twenty-two subjects participated in multiple experiments designed to expose them to varying levels of task-demands and to record their personal resources as they performed common construction material-handling tasks. Specifically, both surveys and physiological measurements using wearable sensors were used to operationalize the model constructs. Moreover, partial least squares structural equation modeling was applied to analyze data collected at the task and individual levels. Exhaustion and disengagement exhibited different relationships with productivity and safety performance outcomes as measured by unit rate productivity and ergonomic behavior, respectively. Subjects with high burnout and high engagement showed high productivity but low safety performance. Thus, exhausted workers stand a greater chance of failing to comply with safety. As the sample and the task performed in the experiment do not cover the experience and trade of all construction workers, our findings are limited in their application to entry-level and unskilled workers, whose work is mainly manual material-handling tasks.</description><identifier>ISSN: 0925-7535</identifier><identifier>EISSN: 1879-1042</identifier><identifier>DOI: 10.1016/j.ssci.2019.104577</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ltd</publisher><subject>Burnout ; Construction industry ; Construction materials ; Exhaustion ; Job demand-resources model ; Levels ; Materials handling ; Multivariate statistical analysis ; Observational studies ; Occupational health ; Occupational safety ; Partial least squares structural equation modeling ; Personnel management ; Productivity ; Safety ; Task analysis ; Wearable sensors ; Workforce</subject><ispartof>Safety science, 2020-03, Vol.123, p.104577, Article 104577</ispartof><rights>2019</rights><rights>Copyright Elsevier BV Mar 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-3c4013c555f8585ac61a3f3ad99e5a507830407e67b4eb29bd62f73298e5677d3</citedby><cites>FETCH-LOGICAL-c328t-3c4013c555f8585ac61a3f3ad99e5a507830407e67b4eb29bd62f73298e5677d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ssci.2019.104577$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids></links><search><creatorcontrib>Lee, Wonil</creatorcontrib><creatorcontrib>Migliaccio, Giovanni C.</creatorcontrib><creatorcontrib>Lin, Ken-Yu</creatorcontrib><creatorcontrib>Seto, Edmund Y.W.</creatorcontrib><title>Workforce development: understanding task-level job demands-resources, burnout, and performance in unskilled construction workers</title><title>Safety science</title><description>•How job characteristics interact with burnout to influence performance.•Protocols for integrating wearable sensors into burnout research.•The direct effect of personal resources on productivity.•The full mediating effect of exhaustion between task demands and productivity.•The partial mediating effect of disengagement between personal resources and safety. This study examines how task demands and personal resources affect unskilled construction worker productivity and safety performance. It extends the job demands-resources (JD-R) burnout model to show how job characteristics interact with burnout to influence performance. A modified model was designed to measure burnout, with exhaustion and disengagement among unskilled construction workers taken into consideration. An observational study was conducted in a laboratory environment to test the research hypotheses and assess the prediction accuracies of outcome constructs. Twenty-two subjects participated in multiple experiments designed to expose them to varying levels of task-demands and to record their personal resources as they performed common construction material-handling tasks. Specifically, both surveys and physiological measurements using wearable sensors were used to operationalize the model constructs. Moreover, partial least squares structural equation modeling was applied to analyze data collected at the task and individual levels. Exhaustion and disengagement exhibited different relationships with productivity and safety performance outcomes as measured by unit rate productivity and ergonomic behavior, respectively. Subjects with high burnout and high engagement showed high productivity but low safety performance. Thus, exhausted workers stand a greater chance of failing to comply with safety. As the sample and the task performed in the experiment do not cover the experience and trade of all construction workers, our findings are limited in their application to entry-level and unskilled workers, whose work is mainly manual material-handling tasks.</description><subject>Burnout</subject><subject>Construction industry</subject><subject>Construction materials</subject><subject>Exhaustion</subject><subject>Job demand-resources model</subject><subject>Levels</subject><subject>Materials handling</subject><subject>Multivariate statistical analysis</subject><subject>Observational studies</subject><subject>Occupational health</subject><subject>Occupational safety</subject><subject>Partial least squares structural equation modeling</subject><subject>Personnel management</subject><subject>Productivity</subject><subject>Safety</subject><subject>Task analysis</subject><subject>Wearable sensors</subject><subject>Workforce</subject><issn>0925-7535</issn><issn>1879-1042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9UE1r2zAYFmWDZun-wE6CXuNMH5Zlj15KWbtBYJeWHoUtvS5yHCmT5I4e-8_3huy8k5CeTz2EfOFsyxlvvk7bnK3fCsY7fKiV1hdkxVvdVXgTH8iKdUJVWkl1ST7lPDHGuGz4irw_x7QfY7JAHbzCHI8HCOUbXYKDlEsfnA8vtPR5X80nnE5xQOYBgVwlyHFBad7QYUkhLmVDEaBHSGiJHHT1Ab3y3s8zOGpjyCUttvgY6B9Mxowr8nHs5wyf_51r8nT__fHuR7X79fDz7nZXWSnaUklbY2WrlBpb1areNryXo-xd14HqFdOtZDXT0OihhkF0g2vEqKXoWlCN1k6uyfXZ95ji7wVyMROWDxhphNS8rpVqGbLEmWVTzDnBaI7JH_r0Zjgzp6nNZE5Tm9PU5jw1im7OIsD-rx6SQQbg751PYItx0f9P_hfUKIoz</recordid><startdate>202003</startdate><enddate>202003</enddate><creator>Lee, Wonil</creator><creator>Migliaccio, Giovanni C.</creator><creator>Lin, Ken-Yu</creator><creator>Seto, Edmund Y.W.</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope></search><sort><creationdate>202003</creationdate><title>Workforce development: understanding task-level job demands-resources, burnout, and performance in unskilled construction workers</title><author>Lee, Wonil ; Migliaccio, Giovanni C. ; Lin, Ken-Yu ; Seto, Edmund Y.W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-3c4013c555f8585ac61a3f3ad99e5a507830407e67b4eb29bd62f73298e5677d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Burnout</topic><topic>Construction industry</topic><topic>Construction materials</topic><topic>Exhaustion</topic><topic>Job demand-resources model</topic><topic>Levels</topic><topic>Materials handling</topic><topic>Multivariate statistical analysis</topic><topic>Observational studies</topic><topic>Occupational health</topic><topic>Occupational safety</topic><topic>Partial least squares structural equation modeling</topic><topic>Personnel management</topic><topic>Productivity</topic><topic>Safety</topic><topic>Task analysis</topic><topic>Wearable sensors</topic><topic>Workforce</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Wonil</creatorcontrib><creatorcontrib>Migliaccio, Giovanni C.</creatorcontrib><creatorcontrib>Lin, Ken-Yu</creatorcontrib><creatorcontrib>Seto, Edmund Y.W.</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing &amp; Allied Health Premium</collection><jtitle>Safety science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Wonil</au><au>Migliaccio, Giovanni C.</au><au>Lin, Ken-Yu</au><au>Seto, Edmund Y.W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Workforce development: understanding task-level job demands-resources, burnout, and performance in unskilled construction workers</atitle><jtitle>Safety science</jtitle><date>2020-03</date><risdate>2020</risdate><volume>123</volume><spage>104577</spage><pages>104577-</pages><artnum>104577</artnum><issn>0925-7535</issn><eissn>1879-1042</eissn><abstract>•How job characteristics interact with burnout to influence performance.•Protocols for integrating wearable sensors into burnout research.•The direct effect of personal resources on productivity.•The full mediating effect of exhaustion between task demands and productivity.•The partial mediating effect of disengagement between personal resources and safety. This study examines how task demands and personal resources affect unskilled construction worker productivity and safety performance. It extends the job demands-resources (JD-R) burnout model to show how job characteristics interact with burnout to influence performance. A modified model was designed to measure burnout, with exhaustion and disengagement among unskilled construction workers taken into consideration. An observational study was conducted in a laboratory environment to test the research hypotheses and assess the prediction accuracies of outcome constructs. Twenty-two subjects participated in multiple experiments designed to expose them to varying levels of task-demands and to record their personal resources as they performed common construction material-handling tasks. Specifically, both surveys and physiological measurements using wearable sensors were used to operationalize the model constructs. Moreover, partial least squares structural equation modeling was applied to analyze data collected at the task and individual levels. Exhaustion and disengagement exhibited different relationships with productivity and safety performance outcomes as measured by unit rate productivity and ergonomic behavior, respectively. Subjects with high burnout and high engagement showed high productivity but low safety performance. Thus, exhausted workers stand a greater chance of failing to comply with safety. As the sample and the task performed in the experiment do not cover the experience and trade of all construction workers, our findings are limited in their application to entry-level and unskilled workers, whose work is mainly manual material-handling tasks.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ssci.2019.104577</doi></addata></record>
fulltext fulltext
identifier ISSN: 0925-7535
ispartof Safety science, 2020-03, Vol.123, p.104577, Article 104577
issn 0925-7535
1879-1042
language eng
recordid cdi_proquest_journals_2371445580
source Elsevier ScienceDirect Journals
subjects Burnout
Construction industry
Construction materials
Exhaustion
Job demand-resources model
Levels
Materials handling
Multivariate statistical analysis
Observational studies
Occupational health
Occupational safety
Partial least squares structural equation modeling
Personnel management
Productivity
Safety
Task analysis
Wearable sensors
Workforce
title Workforce development: understanding task-level job demands-resources, burnout, and performance in unskilled construction workers
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T19%3A51%3A09IST&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=Workforce%20development:%20understanding%20task-level%20job%20demands-resources,%20burnout,%20and%20performance%20in%20unskilled%20construction%20workers&rft.jtitle=Safety%20science&rft.au=Lee,%20Wonil&rft.date=2020-03&rft.volume=123&rft.spage=104577&rft.pages=104577-&rft.artnum=104577&rft.issn=0925-7535&rft.eissn=1879-1042&rft_id=info:doi/10.1016/j.ssci.2019.104577&rft_dat=%3Cproquest_cross%3E2371445580%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=2371445580&rft_id=info:pmid/&rft_els_id=S0925753519321885&rfr_iscdi=true