No abstract

The construction industry of India is the second-largest contributor to the GDP and provides employment to a large population in the country. Its contribution to the GDP is about 8-10% on an average in the last decade. The objective of this study is to identify and analyze the significant factors affecting construction productivity using relative importance index method with a special focus on the Indian construction industry. A structured questionnaire survey method is used to collect the data from the primary stakeholders of the Indian construction industry including but not limited to consultants, architects, civil contractor, developer, PMC, and academia people. Total of 201 valid responses were received with a response rate of 32%. The value of reliability analysis is above 0.95, which is considered highly reliable for data-based studies. The findings of the study provide a ranking of factors affecting construction productivity. Most significant factors affecting construction productivity are availability of resources, contractual disputes, scope clarity of the project, design capability, and frequent design changes having the value on relative importance index scale 0.801, 0.799, 0.790, 0.785, and 0.776 respectively. This research paper concludes that the productivity can be achieved by changing the work culture and reviewing the management process for execution. Which suggests the implementation of best practices and motivation towards achieving the goal of having higher productivity by looking at the factor and analyzing how to promote productivity improvement.

The growth in construction productivity is low and do not continue for a long span of time. The purpose of the present research paper is to identify the factors affecting the on-site construction productivity, from the literature review and through a focused interview with industry professionals. The most relevant 18 attributes have been finalized for the study, and a total of 154 complete data collection is targeted for the study form major contractors, developers and consultants throughout India. The convenient sampling technique is used to collect the data. The collected data has been analyzed using relative importance index (RII) to priorities the variable on the basis of their relative importance. The findings of the study conclude that the most significant 3 attributes affecting on-site construction productivity are planning and scheduling, availability of material, and storage area for a material having a relative value of 0.78, 0.76, and 0.75 respectively. SPSS 21 software tool has been used to check the reliability of the data and to perform factor analysis. The factors are site management, competency management, commitment and coordination management, resource management, and planning explains a variance of 15%, 11.5%, 10.3, 9.1, and 7.1% respectively. The research paper attempts to provide an insight and better understanding of the factors affecting on-site construction productivity in India and the ways and means to control and improve construction productivity of construction projects.

Performance of a construction project could be influenced by a number of attributes, especially large and complex projects lay additional focus on the success / failure attributes, because of the intensive amount of money invested, a high degree of uncertainty, the complexity of personnel’s required, a multiplicity of goals and problems in coordination between different stakeholders encountered. In this research paper, the author intended to define and examine the relationship and impact of construction productivity (CP) over construction project performance (CPP). The author tests the proposition that there is a positive relationship/impact between both of them. And to test the effect of factors is affecting CP on CPP and to propose a conceptual model on the basis of the analysis. To validate the mathematical validity of factor analysis, Spearman correlation analysis has been performed on the factors. And to check the reliability of all the factors using reliability analysis, and finally test the hypothesis that construction productivity is having a positive impact on project performance using one sample t-test. The findings of the study concluded that there is a positive impact of construction productivity on project performance in Indian construction projects. This paper attempts to identify the relationship between CP and CPP and recommends the framework for the industry to grow sustainably and deliver projects successfully. This study is conducted using a structured questionnaire survey in India and to validate the results of the study similar kind of study is required to be conducted in the other regions of the country to have more reliable findings."This paper is the revised version of the paper that has been published in the proceedings of the Creative Construction Conference 2018: Dixit, S., Mandal, S. N., Thanikal, J. V, & Saurabh, K. (2018). Construction Productivity and Construction Project Performance in Indian Construction Projects, m(July), 379–386. https://doi.org/10.3311/CCC2018-050".

In order to ensure the performance of a project, it should be defined in terms of some measurable key parameters. Past researchers have identified project performance parameters such as cost, safety, construction productivity, and quality. Amongst all of them, construction productivity is one of the most reliable parameters of project performance. Performance can be measured at various levels including sector, organization, activity and project level in projectbased organizations. The methodology adopted to conduct the study is to collect the data through a structured questionnaire survey using convenient sampling technique. The number of variables selected from the literature for the study is 26 and the targeted data collection for the study is 125.The collected data has been analyzed using relative importance index (RII) to priorities the variables on the basis of their relative importance. The findings of the study concludes that the most significant 3 attributes impacting CPP are projected coordination meetings, coordination between all stakeholders, and top management support to PM having a relative value of 0.84, 0.82, and 0.69 respectively. SPSS 21 software tool has been used to check the reliability of the data and to perform factor analysis and the factors are pre-construction management, financial management, socio-economic management, coordination and communication management, resource management, commercial management, site management, and rework explains a variance of 14%, 10. 3%, 9.1%, 7.1%, 6.3%, 6%, 5%,and 4.3% respectively.