Understanding off-site readiness in Indian construction organisations

Bendi, D; Rana, M Q; Arif, M; Goulding, J S and Kaushik, A K (2021) Understanding off-site readiness in Indian construction organisations. Construction Innovation, 21(1), pp. 105-122. ISSN 1471-4175

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.

Item Type: Article
Uncontrolled Keywords: housing; Indian construction industry; modular construction; off-site construction; process; strategy
Index terms: practitioner, population, modular construction, methodology, decision-making, housing, benchmarking, construction sector, strategy, factor analysis, propagation, readiness model, India, duration, construction industry, off-site construction, modern methods of construction, construction organization, statistical analysis
Subjects: data science, practitioner, organization, engineering process, construction type, risk assessment, statistical analysis, industry analysis, building construction, decision analysis, demography, project controls, Geography, research methods, management, performance measurement
Topics: Quality Management, Urban Studies, Time Control, Engineering Principles, Geographical Context, Research Practice, Business Strategy, Construction Technology, Roles and Professions, Risk Management
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here