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The boom of real estate has been a motivating force for economic growth in India for the past few years. However, the Real Estate (RE) market of India is still in the embryonic phase and juvenile. In the context of the real estate projects, it is a general situation observed that such projects cannot meet the target as the Indian real estate companies are deficient in scientific management technology to confront the risks. The research paper aims to focus mainly on constraints and demurral of Risk Management (RM) in RE firms of India to investigate findings for the same in the Indian Real estate market and further focusing on RE projects of Ahmedabad. The paper is mostly founded on an overview of individuals who are straightforwardly or firmly identified with the administration and the RE business in India. The questionnaire survey shall be targeted over the five prime territories of Ahmedabad. This research further highlights to concerned identified primary critical risk factors (by Criticality Index Method) influencing the residential real estate market and then developing a framework for assessing the factors carrying out the quantitative analysis using various analytical methods of SPSS software, Factor analysis, ANOVA and Post-Hoc Test. The validation of the results has been done through a survey of experienced experts. The critical risks identified based on the questionnaire survey are modeled through the decision tree diagram.

For the Government projects, Value for Money (VFM) is an important parameter based on which the projects are procured through Public-Private Partnership (PPP) by the public sector. The objective of this paper is to identify and evaluate perceptions of VFM factors affecting Indian road projects undertaken by PPP. Eighteen VFM factors were shortlisted through a literature survey and were validated with experienced professionals. A questionnaire survey was conducted to investigate the most important VFM factors and was grouped into three categories: financial implications, the expertise of the private sector, and contract efficiency using factor analysis. Important VFM factors were identified using the Importance Index Method. The perception was analyzed with various statistical tools. The findings from this study provide more information and understanding about VFM in an early stage, which will be helpful for decision making about PPP.

Construction sites require heightened safety measures due to hazardous working conditions. Health and Safety (H&S) standards in the Indian construction sector are notably subpar. Despite this stark reality, Indian researchers have paid scant attention to H&S concerns. Recognizing the critical dimensions is pivotal for enhancing on-site H&S. Thus. This study endeavours to identify the key aspects and factors influencing H&S at job sites within the Indian construction industry to prompt similar investigations in other developing countries. The research employed a pilot-tested questionnaire survey methodology to validate dimensions derived from existing literature. Following the compilation of a final set of 61 dimensions, Exploratory Factor Analysis (EFA) was applied for analysis. Among the original 61 dimensions, 35 were identified as significant and categorized into four main factors: Management Regulatory Factor (MRF), Worker’s Self-Regulatory Factor (WSRF), Workplace Regulatory Factor (WRF), and Government Regulatory Factor (GRF) with Cronbach’s Alpha 0.946, 0.892, 0.782 and 0.773 showing reliability level of excellent, good, acceptable and acceptable respectively which provides a theoretical framework. The study’s outcomes can aid decision-makers, top management, and workers in comprehending H&S and its practical implementation. Additionally, the results may encourage developing countries to institute H&S governance for on-site safety. For future studies in the Indian construction sector, exploring these factors through Confirmatory Factor Analysis (CFA) is recommended. Based on the dimensions and factors identified in this research, a model utilizing structural equation modelling (SEM), or a Path Model could be devised. It is also advised that emerging nations conduct further research in this direction. [ABSTRACT FROM AUTHOR]