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@article{202001,
        author = {Mr Siddharth Sanjay Shinde and Dr Pratibha M Alandkar and Dr Sushma R Awad},
        title = {RESEARCH ON CRITICAL STUDY AND STRATEGIC RECOMMENDATIONS FOR LABOR PRODUCTIVITY IN CONSTRUCTION: LATUR},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {6006-6016},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202001},
        abstract = {Labor productivity plays a vital role in the successful execution of construction projects, significantly influencing project time, cost, and quality. However, the construction industry continues to face challenges related to low labor productivity, leading to time overruns and increased project costs. This study focuses on the critical assessment of labor productivity in the construction industry and provides strategic recommendations for its improvement, with special reference to the Latur region. The primary objective of this research is to evaluate the current status of labor productivity, identify key factors affecting it, and analyse its impact on project performance. The study adopts a systematic methodology, including literature review and a structured questionnaire survey conducted among construction professionals and workers. The collected data is analysed to determine the major factors responsible for productivity loss, such as poor project planning, inadequate supervision, and shortage of skilled labor, communication gaps, and delays in decision-making. The study examines the relationship between these factors and project delays and cost overruns. Based on the analysis, the most critical issues affecting labor productivity are identified. The research then proposes practical and effective recommendations, including improved planning and scheduling, proper site management, skill enhancement programs, and better communication practices.},
        keywords = {—Labor Productivity, Construction Industry, Project Performance, Questionnaire Survey},
        month = {May},
        }