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http://hdl.handle.net/10603/337311
Title: | Framework for Improving Onsite Construction Productivity Indian Scenario |
Researcher: | Dixit, Saurav |
Guide(s): | Mandal, Satya N and Thanikal, Joseph V and Saurabh, Kinshuk |
Keywords: | Construction Engineering Engineering and Technology Engineering Civil |
University: | Amity University, Noida |
Completed Date: | 2019 |
Abstract: | The Construction Industry in India is very complex, fractured, and largely unorganized. The professional and productive labour force has always been one of the most complex issues for the construction industry. Due to the unique nature of the work; planning, timely delivery and reliability have always been subject to concern for the decision-makers. The construction industry has a fragmented nature associated with it. It is necessary to identify the impact of the key factors associated with risk on construction projects so that the timely alternatives or solutions could be taken to avoid them. There are various risks factors globally associated with construction projects. In the current research report, a detailed background is provided about the construction industry, Indian construction industry, and significant value of construction industry in terms of providing employment (second largest provider of jobs) to the masses in the country, in terms of its contribution to the GDP of the country (7-8% on an average of last 5 years) the issues and the basic challenges and issues in the further development of the Industry. The research methodology adopted for the present research work is to collect the primary data from the Indian construction industry. The population selected for the study is to collect the data at the Industry level and the sample size is 201 valid responses. Furthermore the unit of analysis, sampling technique used, and the validation of the questionnaire adopted were discussed in detail. The last part of the thesis provides the details of data collected, the descriptive analysis of the data collected, followed by the reliability analysis using Cronbach s alpha (0.96) to check the consistency and reliability of the data collected using questionnaire survey. Furthermore, the ranking of attributes affecting construction productivity using relative importance index is calculated and tabulated. newline newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/337311 |
Appears in Departments: | RICS School of Built Environment |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 221.95 kB | Adobe PDF | View/Open |
02_certificate.pdf | 1.18 MB | Adobe PDF | View/Open | |
03_preliminary pages.pdf | 1.17 MB | Adobe PDF | View/Open | |
04_chapter 1.pdf | 956.12 kB | Adobe PDF | View/Open | |
05_chapter 2.pdf | 782.83 kB | Adobe PDF | View/Open | |
06_chapter 3.pdf | 746.99 kB | Adobe PDF | View/Open | |
07_chapter 4.pdf | 775.57 kB | Adobe PDF | View/Open | |
08_chapter 5.pdf | 1.3 MB | Adobe PDF | View/Open | |
09_chapter 6.pdf | 909.04 kB | Adobe PDF | View/Open | |
10_chapter 7.pdf | 377.06 kB | Adobe PDF | View/Open | |
11_reference.pdf | 539.45 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 597.17 kB | Adobe PDF | View/Open |
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