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Understanding off-site readiness in Indian construction organisations
Purpose This paper presents a bespoke model for understanding off-site construction (OSC) readiness among Indian construction organisations. This model presents 17 variables for discussion, the results from which help support OSC strategic decision-making. Design/methodology/approach Factor analysis...
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Published in: | Construction innovation 2021-01, Vol.21 (1), p.105-122 |
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cites | cdi_FETCH-LOGICAL-c395t-e615e2d00329f48b85c840646fb5720ef705d30674909d3139886057b587cad73 |
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container_title | Construction innovation |
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creator | Bendi, Deepthi Rana, Muhammad Qasim Arif, Mohammed Goulding, Jack Steven Kaushik, Amit Kant |
description | Purpose
This paper presents a bespoke model for understanding off-site construction (OSC) readiness among Indian construction organisations. This model presents 17 variables for discussion, the results from which help support OSC strategic decision-making.
Design/methodology/approach
Factor analysis was used to investigate the relationship between variables to group them into factors. After identifying 26 different variables, these were reduced to 17 using factor analysis and categorised into four groups. Descriptive statistical analysis and factor analysis using SPSS was used to develop a hierarchy of factors that affect OSC readiness in India. These findings were reinforced by five domain experts to support the results.
Findings
Minimising on-site duration, ensuring cost and time certainty and transportation issues were identified as the three most important factors, whereas lack of guidance and scepticism were among the lowest factors affecting the Indian OSC sector.
Research limitations/implications
This research is specifically focused on OSC within the Indian construction sector. As such, data collection, propagation and analysis should be constrained to the population context regarding inference, generalisability and repeatability.
Practical implications
The proffered OSC readiness model offers OSC practitioners an ability to assess the OSC readiness of construction organisations in India. This includes the evaluation and benchmarking of processes in both strategic and operational phases, including highlighting areas of concern and scope for further development (to achieve optimal advantage of OSC methods).
Originality/value
Originality rests with the use of factor analysis and descriptive statistical analysis to study the influence of different construction-related factors and variables on the OSC sector in India. This impact readiness model is context-specific to the Indian OSC sector – providing a unique insight into the causal factors and dependencies that can affect the adoption and uptake of modern methods of construction in India. |
doi_str_mv | 10.1108/CI-02-2020-0016 |
format | article |
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This paper presents a bespoke model for understanding off-site construction (OSC) readiness among Indian construction organisations. This model presents 17 variables for discussion, the results from which help support OSC strategic decision-making.
Design/methodology/approach
Factor analysis was used to investigate the relationship between variables to group them into factors. After identifying 26 different variables, these were reduced to 17 using factor analysis and categorised into four groups. Descriptive statistical analysis and factor analysis using SPSS was used to develop a hierarchy of factors that affect OSC readiness in India. These findings were reinforced by five domain experts to support the results.
Findings
Minimising on-site duration, ensuring cost and time certainty and transportation issues were identified as the three most important factors, whereas lack of guidance and scepticism were among the lowest factors affecting the Indian OSC sector.
Research limitations/implications
This research is specifically focused on OSC within the Indian construction sector. As such, data collection, propagation and analysis should be constrained to the population context regarding inference, generalisability and repeatability.
Practical implications
The proffered OSC readiness model offers OSC practitioners an ability to assess the OSC readiness of construction organisations in India. This includes the evaluation and benchmarking of processes in both strategic and operational phases, including highlighting areas of concern and scope for further development (to achieve optimal advantage of OSC methods).
Originality/value
Originality rests with the use of factor analysis and descriptive statistical analysis to study the influence of different construction-related factors and variables on the OSC sector in India. This impact readiness model is context-specific to the Indian OSC sector – providing a unique insight into the causal factors and dependencies that can affect the adoption and uptake of modern methods of construction in India.</description><identifier>ISSN: 1471-4175</identifier><identifier>EISSN: 1477-0857</identifier><identifier>DOI: 10.1108/CI-02-2020-0016</identifier><language>eng</language><publisher>London: Emerald Publishing Limited</publisher><subject>Construction industry ; Context ; Data collection ; Decision analysis ; Decision making ; Design ; Design factors ; Factor analysis ; Housing developments ; Infrastructure ; Innovations ; Manufacturing ; Onsite ; Prefabricated buildings ; Skilled workers ; Statistical analysis ; Sustainability ; Tax incentives</subject><ispartof>Construction innovation, 2021-01, Vol.21 (1), p.105-122</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-e615e2d00329f48b85c840646fb5720ef705d30674909d3139886057b587cad73</citedby><cites>FETCH-LOGICAL-c395t-e615e2d00329f48b85c840646fb5720ef705d30674909d3139886057b587cad73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2535155661/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2535155661?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,44363,74895</link.rule.ids></links><search><creatorcontrib>Bendi, Deepthi</creatorcontrib><creatorcontrib>Rana, Muhammad Qasim</creatorcontrib><creatorcontrib>Arif, Mohammed</creatorcontrib><creatorcontrib>Goulding, Jack Steven</creatorcontrib><creatorcontrib>Kaushik, Amit Kant</creatorcontrib><title>Understanding off-site readiness in Indian construction organisations</title><title>Construction innovation</title><description>Purpose
This paper presents a bespoke model for understanding off-site construction (OSC) readiness among Indian construction organisations. This model presents 17 variables for discussion, the results from which help support OSC strategic decision-making.
Design/methodology/approach
Factor analysis was used to investigate the relationship between variables to group them into factors. After identifying 26 different variables, these were reduced to 17 using factor analysis and categorised into four groups. Descriptive statistical analysis and factor analysis using SPSS was used to develop a hierarchy of factors that affect OSC readiness in India. These findings were reinforced by five domain experts to support the results.
Findings
Minimising on-site duration, ensuring cost and time certainty and transportation issues were identified as the three most important factors, whereas lack of guidance and scepticism were among the lowest factors affecting the Indian OSC sector.
Research limitations/implications
This research is specifically focused on OSC within the Indian construction sector. As such, data collection, propagation and analysis should be constrained to the population context regarding inference, generalisability and repeatability.
Practical implications
The proffered OSC readiness model offers OSC practitioners an ability to assess the OSC readiness of construction organisations in India. This includes the evaluation and benchmarking of processes in both strategic and operational phases, including highlighting areas of concern and scope for further development (to achieve optimal advantage of OSC methods).
Originality/value
Originality rests with the use of factor analysis and descriptive statistical analysis to study the influence of different construction-related factors and variables on the OSC sector in India. This impact readiness model is context-specific to the Indian OSC sector – providing a unique insight into the causal factors and dependencies that can affect the adoption and uptake of modern methods of construction in India.</description><subject>Construction industry</subject><subject>Context</subject><subject>Data collection</subject><subject>Decision analysis</subject><subject>Decision making</subject><subject>Design</subject><subject>Design factors</subject><subject>Factor analysis</subject><subject>Housing developments</subject><subject>Infrastructure</subject><subject>Innovations</subject><subject>Manufacturing</subject><subject>Onsite</subject><subject>Prefabricated buildings</subject><subject>Skilled workers</subject><subject>Statistical analysis</subject><subject>Sustainability</subject><subject>Tax incentives</subject><issn>1471-4175</issn><issn>1477-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNptkEtLAzEUhYMoWKtrtwOu0968M0sZqg4U3Nh1SCdJmdImNZku_PfOWDeCq_s651z4EHoksCAE9LJpMVBMgQIGIPIKzQhXCoMW6vqnJ5gTJW7RXSl7AMqJ5DO02kTncxlsdH3cVSkEXPrBV9nbceFLqfpYtePRxqpLsQz53A19ilXKOxv7Yqeh3KObYA_FP_zWOdq8rD6aN7x-f22b5zXuWC0G7CURnjoARuvA9VaLTnOQXIatUBR8UCAcA6l4DbVjhNVaSxBqK7TqrFNsjp4uuaecPs--DGafzjmOLw0VTBAhpCSjanlRdTmVkn0wp9wfbf4yBMzEyjStAWomVmZiNToWF4c_-mwP7h_DH7jsG7rVaF0</recordid><startdate>20210104</startdate><enddate>20210104</enddate><creator>Bendi, Deepthi</creator><creator>Rana, Muhammad Qasim</creator><creator>Arif, Mohammed</creator><creator>Goulding, Jack Steven</creator><creator>Kaushik, Amit Kant</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>7RQ</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>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K6~</scope><scope>KB.</scope><scope>KR7</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>M0C</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PDBOC</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>20210104</creationdate><title>Understanding off-site readiness in Indian construction organisations</title><author>Bendi, Deepthi ; Rana, Muhammad Qasim ; Arif, Mohammed ; Goulding, Jack Steven ; Kaushik, Amit Kant</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-e615e2d00329f48b85c840646fb5720ef705d30674909d3139886057b587cad73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Construction industry</topic><topic>Context</topic><topic>Data collection</topic><topic>Decision analysis</topic><topic>Decision making</topic><topic>Design</topic><topic>Design factors</topic><topic>Factor analysis</topic><topic>Housing developments</topic><topic>Infrastructure</topic><topic>Innovations</topic><topic>Manufacturing</topic><topic>Onsite</topic><topic>Prefabricated buildings</topic><topic>Skilled workers</topic><topic>Statistical analysis</topic><topic>Sustainability</topic><topic>Tax incentives</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bendi, Deepthi</creatorcontrib><creatorcontrib>Rana, Muhammad Qasim</creatorcontrib><creatorcontrib>Arif, Mohammed</creatorcontrib><creatorcontrib>Goulding, Jack Steven</creatorcontrib><creatorcontrib>Kaushik, Amit Kant</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Career & Technical Education Database</collection><collection>ABI/INFORM Collection</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</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 Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection</collection><collection>Materials Science Database</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>Research Library</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>Materials Science Collection</collection><collection>One Business (ProQuest)</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>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Construction innovation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bendi, Deepthi</au><au>Rana, Muhammad Qasim</au><au>Arif, Mohammed</au><au>Goulding, Jack Steven</au><au>Kaushik, Amit Kant</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Understanding off-site readiness in Indian construction organisations</atitle><jtitle>Construction innovation</jtitle><date>2021-01-04</date><risdate>2021</risdate><volume>21</volume><issue>1</issue><spage>105</spage><epage>122</epage><pages>105-122</pages><issn>1471-4175</issn><eissn>1477-0857</eissn><abstract>Purpose
This paper presents a bespoke model for understanding off-site construction (OSC) readiness among Indian construction organisations. This model presents 17 variables for discussion, the results from which help support OSC strategic decision-making.
Design/methodology/approach
Factor analysis was used to investigate the relationship between variables to group them into factors. After identifying 26 different variables, these were reduced to 17 using factor analysis and categorised into four groups. Descriptive statistical analysis and factor analysis using SPSS was used to develop a hierarchy of factors that affect OSC readiness in India. These findings were reinforced by five domain experts to support the results.
Findings
Minimising on-site duration, ensuring cost and time certainty and transportation issues were identified as the three most important factors, whereas lack of guidance and scepticism were among the lowest factors affecting the Indian OSC sector.
Research limitations/implications
This research is specifically focused on OSC within the Indian construction sector. As such, data collection, propagation and analysis should be constrained to the population context regarding inference, generalisability and repeatability.
Practical implications
The proffered OSC readiness model offers OSC practitioners an ability to assess the OSC readiness of construction organisations in India. This includes the evaluation and benchmarking of processes in both strategic and operational phases, including highlighting areas of concern and scope for further development (to achieve optimal advantage of OSC methods).
Originality/value
Originality rests with the use of factor analysis and descriptive statistical analysis to study the influence of different construction-related factors and variables on the OSC sector in India. This impact readiness model is context-specific to the Indian OSC sector – providing a unique insight into the causal factors and dependencies that can affect the adoption and uptake of modern methods of construction in India.</abstract><cop>London</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/CI-02-2020-0016</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
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language | eng |
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source | ABI/INFORM Global; Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list) |
subjects | Construction industry Context Data collection Decision analysis Decision making Design Design factors Factor analysis Housing developments Infrastructure Innovations Manufacturing Onsite Prefabricated buildings Skilled workers Statistical analysis Sustainability Tax incentives |
title | Understanding off-site readiness in Indian construction organisations |
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