Application of Ginni's mean analysis for identifying the stationary driver enhancing modular construction adoption in the building industry

Ali, A H; Kineber, A F; Elyamany, A; Ibrahim, A H and Daoud, A O (2025) Application of Ginni's mean analysis for identifying the stationary driver enhancing modular construction adoption in the building industry. International Journal of Construction Management, 25(3), pp. 322-333. ISSN 1562-3599

Abstract

Modular construction (MC) is recognized as an environmentally friendly and sustainable building method, and it is mandatory for assessing project sustainability. In developed countries, MC is acknowledged as a crucial approach for sustainable development, leading to increased adoption in these nations. However, implementing and incorporating MC in developing nations is a multifaceted task due to infrastructure limitations, economic inequalities, and resource constraints, which limit its widespread adoption. This study aims to find the stationary driver that increase MC usage in developing nations, especially in residential projects. To achieve this objective, a total of 120 building professionals participated in the questionnaire. Following this, the Relative Importance Index and Gini's Mean analyses were employed to assess the significance of the top 5 ranked drivers and to pinpoint the stationary driver. According to the study results, the five major MC drivers are as follows: Determining the correct weights and dimensions of modules by optimal design; Considering the detailed survey of fabricators' MC experience and competency; Early screening tests during the selection of fabricators and factories; Early engagement of the heavy lift team in relevant research; and Avoiding suboptimal modular equipment sizes that might restrict transportation options. Additionally, the Gini's Mean analysis revealed the stationary driver that promotes MC adoption is the need for expert advice for equipment specifications, scheduling, and sequence. The research findings pave the way for the Egyptian construction industry to adopt MC, which will improve the construction sector, particularly residential construction. Furthermore, the results address a knowledge gap about the drivers that enhance the adoption of MC in developing nations.

Item Type: Article
Uncontrolled Keywords: drivers; Ginni's mean of dispersion; modular construction; offsite construction; prefabricated construction; questionnaire
Index terms: building industry, building professional, inequality, module, residential construction, construction industry, dimension, option, environmentally friendly, screening, modular construction, residential project, sustainable building, developed country, resource constraint, questionnaire, construction sector, scheduling, specification, sustainable development, relative importance index, survey, developing nation
Subjects: operations research, operations management, building construction, economic development, architectural elements, health safety and environment, sustainable design, sustainable construction, development economics, health monitoring assessment and metrics, risk assessment, profession, data collection methods, sociology, decision analysis, industry analysis, management, construction integration, contractual condition
Topics: Ethics, Risk Management, Sustainability, Health and Safety, Project Management, Time Control, Contract Administration, Design Practice, Urban Studies, Human Resources, International Construction, Roles and Professions, Construction Technology, Business Strategy, Research Practice
Descriptive scope: 5 PCTEA

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