Loading…

BIM knowledge transfer in construction industry: a partial least square analysis

PurposeThere are several technologies positively impacting the management of construction projects. Building information modelling (BIM) is one such technology, slowly changing project delivery. However, enhancing knowledge transfer (KT) within the construction industry is crucial because of the cha...

Full description

Saved in:
Bibliographic Details
Published in:Journal of engineering, design and technology design and technology, 2024-06, Vol.22 (4), p.1393-1411
Main Authors: Esther Oluwadamilola Olufemi Rotimi, Rotimi, Funmilayo Ebun, Silva, CW Chathurani, Itohan Esther Aigwi
Format: Article
Language:English
Subjects:
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c357t-47e6ac87bbedc561963ccdbe0c3b78d955ef11832e881eca43654a47a15c6e803
cites
container_end_page 1411
container_issue 4
container_start_page 1393
container_title Journal of engineering, design and technology
container_volume 22
creator Esther Oluwadamilola Olufemi Rotimi
Rotimi, Funmilayo Ebun
Silva, CW Chathurani
Itohan Esther Aigwi
description PurposeThere are several technologies positively impacting the management of construction projects. Building information modelling (BIM) is one such technology, slowly changing project delivery. However, enhancing knowledge transfer (KT) within the construction industry is crucial because of the characteristic slow uptake of innovation. Therefore, this study aims to establish the effectiveness of the KT mechanism for BIM implementation in construction organisations.Design/methodology/approachThis study adopted a quantitative research method where a structured questionnaire was distributed to construction professionals. A partial least square structural equation modeling path analysis was used to test the direct and indirect relationships of computer self-efficacy (CS), perceived ease of use (PEOU), KT and BIM usage.FindingsThis study found that CS could improve KT, which will, in turn, increase the implementation of BIM within construction organisations. However, in terms of KT, individuals’ confidence and ability to use BIM inspires them to share the knowledge of BIM they had received through training. Furthermore, this study found that the ease of interacting, learning and being skilful with BIM may not necessarily ensure the actual transfer of knowledge.Originality/valueThis study provides valuable insights into KTs (BIM implementation) in the construction industry. It will enhance the use of BIM systems and related knowledge through effective training amongst construction practitioners. Other previous studies have focused on challenges and barriers to BIM implementation, this study goes deeper into establishing the effectiveness of the KT mechanism for BIM implementation in construction organisations.
doi_str_mv 10.1108/JEDT-06-2022-0287
format article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_3067196713</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3067196713</sourcerecordid><originalsourceid>FETCH-LOGICAL-c357t-47e6ac87bbedc561963ccdbe0c3b78d955ef11832e881eca43654a47a15c6e803</originalsourceid><addsrcrecordid>eNotjr1OwzAURi0EEqXwAGyWmA3XdvxTNigFiopgKHN149yglChpbUeob08QTN85y9HH2KWEaynB37wsHtYCrFCglADl3RGbSGe88DOQx7-srACj5Sk7S2kLYL02MGHv98tX_tX13y1Vn8RzxC7VFHnT8dB3Kcch5KbvRq-G0Q63HPkOY26w5S1hyjztB4zEscP2kJp0zk5qbBNd_O-UfTwu1vNnsXp7Ws7vViJo47IoHFkM3pUlVcFYObM6hKokCLp0vpoZQ7WUXivyXlLAQltTYOFQmmDJg56yq7_uLvb7gVLebPshjifSRoN1Y9BJrX8Ad1VSRQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3067196713</pqid></control><display><type>article</type><title>BIM knowledge transfer in construction industry: a partial least square analysis</title><source>Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list)</source><creator>Esther Oluwadamilola Olufemi Rotimi ; Rotimi, Funmilayo Ebun ; Silva, CW Chathurani ; Itohan Esther Aigwi</creator><creatorcontrib>Esther Oluwadamilola Olufemi Rotimi ; Rotimi, Funmilayo Ebun ; Silva, CW Chathurani ; Itohan Esther Aigwi</creatorcontrib><description>PurposeThere are several technologies positively impacting the management of construction projects. Building information modelling (BIM) is one such technology, slowly changing project delivery. However, enhancing knowledge transfer (KT) within the construction industry is crucial because of the characteristic slow uptake of innovation. Therefore, this study aims to establish the effectiveness of the KT mechanism for BIM implementation in construction organisations.Design/methodology/approachThis study adopted a quantitative research method where a structured questionnaire was distributed to construction professionals. A partial least square structural equation modeling path analysis was used to test the direct and indirect relationships of computer self-efficacy (CS), perceived ease of use (PEOU), KT and BIM usage.FindingsThis study found that CS could improve KT, which will, in turn, increase the implementation of BIM within construction organisations. However, in terms of KT, individuals’ confidence and ability to use BIM inspires them to share the knowledge of BIM they had received through training. Furthermore, this study found that the ease of interacting, learning and being skilful with BIM may not necessarily ensure the actual transfer of knowledge.Originality/valueThis study provides valuable insights into KTs (BIM implementation) in the construction industry. It will enhance the use of BIM systems and related knowledge through effective training amongst construction practitioners. Other previous studies have focused on challenges and barriers to BIM implementation, this study goes deeper into establishing the effectiveness of the KT mechanism for BIM implementation in construction organisations.</description><identifier>ISSN: 1726-0531</identifier><identifier>EISSN: 1758-8901</identifier><identifier>DOI: 10.1108/JEDT-06-2022-0287</identifier><language>eng</language><publisher>Bingley: Emerald Group Publishing Limited</publisher><subject>Building information modeling ; Collaboration ; Construction industry ; Construction management ; Explicit knowledge ; Knowledge management ; Knowledge sharing ; Least squares ; Project management ; System effectiveness</subject><ispartof>Journal of engineering, design and technology, 2024-06, Vol.22 (4), p.1393-1411</ispartof><rights>Emerald Publishing Limited.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c357t-47e6ac87bbedc561963ccdbe0c3b78d955ef11832e881eca43654a47a15c6e803</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Esther Oluwadamilola Olufemi Rotimi</creatorcontrib><creatorcontrib>Rotimi, Funmilayo Ebun</creatorcontrib><creatorcontrib>Silva, CW Chathurani</creatorcontrib><creatorcontrib>Itohan Esther Aigwi</creatorcontrib><title>BIM knowledge transfer in construction industry: a partial least square analysis</title><title>Journal of engineering, design and technology</title><description>PurposeThere are several technologies positively impacting the management of construction projects. Building information modelling (BIM) is one such technology, slowly changing project delivery. However, enhancing knowledge transfer (KT) within the construction industry is crucial because of the characteristic slow uptake of innovation. Therefore, this study aims to establish the effectiveness of the KT mechanism for BIM implementation in construction organisations.Design/methodology/approachThis study adopted a quantitative research method where a structured questionnaire was distributed to construction professionals. A partial least square structural equation modeling path analysis was used to test the direct and indirect relationships of computer self-efficacy (CS), perceived ease of use (PEOU), KT and BIM usage.FindingsThis study found that CS could improve KT, which will, in turn, increase the implementation of BIM within construction organisations. However, in terms of KT, individuals’ confidence and ability to use BIM inspires them to share the knowledge of BIM they had received through training. Furthermore, this study found that the ease of interacting, learning and being skilful with BIM may not necessarily ensure the actual transfer of knowledge.Originality/valueThis study provides valuable insights into KTs (BIM implementation) in the construction industry. It will enhance the use of BIM systems and related knowledge through effective training amongst construction practitioners. Other previous studies have focused on challenges and barriers to BIM implementation, this study goes deeper into establishing the effectiveness of the KT mechanism for BIM implementation in construction organisations.</description><subject>Building information modeling</subject><subject>Collaboration</subject><subject>Construction industry</subject><subject>Construction management</subject><subject>Explicit knowledge</subject><subject>Knowledge management</subject><subject>Knowledge sharing</subject><subject>Least squares</subject><subject>Project management</subject><subject>System effectiveness</subject><issn>1726-0531</issn><issn>1758-8901</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNotjr1OwzAURi0EEqXwAGyWmA3XdvxTNigFiopgKHN149yglChpbUeob08QTN85y9HH2KWEaynB37wsHtYCrFCglADl3RGbSGe88DOQx7-srACj5Sk7S2kLYL02MGHv98tX_tX13y1Vn8RzxC7VFHnT8dB3Kcch5KbvRq-G0Q63HPkOY26w5S1hyjztB4zEscP2kJp0zk5qbBNd_O-UfTwu1vNnsXp7Ws7vViJo47IoHFkM3pUlVcFYObM6hKokCLp0vpoZQ7WUXivyXlLAQltTYOFQmmDJg56yq7_uLvb7gVLebPshjifSRoN1Y9BJrX8Ad1VSRQ</recordid><startdate>20240614</startdate><enddate>20240614</enddate><creator>Esther Oluwadamilola Olufemi Rotimi</creator><creator>Rotimi, Funmilayo Ebun</creator><creator>Silva, CW Chathurani</creator><creator>Itohan Esther Aigwi</creator><general>Emerald Group Publishing Limited</general><scope>7TA</scope><scope>8FD</scope><scope>JG9</scope></search><sort><creationdate>20240614</creationdate><title>BIM knowledge transfer in construction industry: a partial least square analysis</title><author>Esther Oluwadamilola Olufemi Rotimi ; Rotimi, Funmilayo Ebun ; Silva, CW Chathurani ; Itohan Esther Aigwi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c357t-47e6ac87bbedc561963ccdbe0c3b78d955ef11832e881eca43654a47a15c6e803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Building information modeling</topic><topic>Collaboration</topic><topic>Construction industry</topic><topic>Construction management</topic><topic>Explicit knowledge</topic><topic>Knowledge management</topic><topic>Knowledge sharing</topic><topic>Least squares</topic><topic>Project management</topic><topic>System effectiveness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Esther Oluwadamilola Olufemi Rotimi</creatorcontrib><creatorcontrib>Rotimi, Funmilayo Ebun</creatorcontrib><creatorcontrib>Silva, CW Chathurani</creatorcontrib><creatorcontrib>Itohan Esther Aigwi</creatorcontrib><collection>Materials Business File</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Journal of engineering, design and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Esther Oluwadamilola Olufemi Rotimi</au><au>Rotimi, Funmilayo Ebun</au><au>Silva, CW Chathurani</au><au>Itohan Esther Aigwi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>BIM knowledge transfer in construction industry: a partial least square analysis</atitle><jtitle>Journal of engineering, design and technology</jtitle><date>2024-06-14</date><risdate>2024</risdate><volume>22</volume><issue>4</issue><spage>1393</spage><epage>1411</epage><pages>1393-1411</pages><issn>1726-0531</issn><eissn>1758-8901</eissn><abstract>PurposeThere are several technologies positively impacting the management of construction projects. Building information modelling (BIM) is one such technology, slowly changing project delivery. However, enhancing knowledge transfer (KT) within the construction industry is crucial because of the characteristic slow uptake of innovation. Therefore, this study aims to establish the effectiveness of the KT mechanism for BIM implementation in construction organisations.Design/methodology/approachThis study adopted a quantitative research method where a structured questionnaire was distributed to construction professionals. A partial least square structural equation modeling path analysis was used to test the direct and indirect relationships of computer self-efficacy (CS), perceived ease of use (PEOU), KT and BIM usage.FindingsThis study found that CS could improve KT, which will, in turn, increase the implementation of BIM within construction organisations. However, in terms of KT, individuals’ confidence and ability to use BIM inspires them to share the knowledge of BIM they had received through training. Furthermore, this study found that the ease of interacting, learning and being skilful with BIM may not necessarily ensure the actual transfer of knowledge.Originality/valueThis study provides valuable insights into KTs (BIM implementation) in the construction industry. It will enhance the use of BIM systems and related knowledge through effective training amongst construction practitioners. Other previous studies have focused on challenges and barriers to BIM implementation, this study goes deeper into establishing the effectiveness of the KT mechanism for BIM implementation in construction organisations.</abstract><cop>Bingley</cop><pub>Emerald Group Publishing Limited</pub><doi>10.1108/JEDT-06-2022-0287</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1726-0531
ispartof Journal of engineering, design and technology, 2024-06, Vol.22 (4), p.1393-1411
issn 1726-0531
1758-8901
language eng
recordid cdi_proquest_journals_3067196713
source Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list)
subjects Building information modeling
Collaboration
Construction industry
Construction management
Explicit knowledge
Knowledge management
Knowledge sharing
Least squares
Project management
System effectiveness
title BIM knowledge transfer in construction industry: a partial least square analysis
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T07%3A17%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=BIM%20knowledge%20transfer%20in%20construction%20industry:%20a%20partial%20least%20square%20analysis&rft.jtitle=Journal%20of%20engineering,%20design%20and%20technology&rft.au=Esther%20Oluwadamilola%20Olufemi%20Rotimi&rft.date=2024-06-14&rft.volume=22&rft.issue=4&rft.spage=1393&rft.epage=1411&rft.pages=1393-1411&rft.issn=1726-0531&rft.eissn=1758-8901&rft_id=info:doi/10.1108/JEDT-06-2022-0287&rft_dat=%3Cproquest%3E3067196713%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c357t-47e6ac87bbedc561963ccdbe0c3b78d955ef11832e881eca43654a47a15c6e803%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3067196713&rft_id=info:pmid/&rfr_iscdi=true