INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The study "Job Satisfaction and Job Performance of Civil Engineers Working in Construction Companies" discusses the crucial relationship between job satisfaction and job performance among civil engineers in the dynamic construction field. This research is imperative due to the indispensable role of civil engineers in infrastructure development and the evolving landscape of the construction industry. The findings emphasize a strong positive correlation between job satisfaction and job performance despite the non-normal distribution of the data. This research provides essential insights for human resource management in construction companies, promoting the well-being and effectiveness of civil engineers. Despite limitations in sample size and diversity, this study paves the way for future research to explore topics like diversity and inclusion, technological adoption, upskilling, cross-cultural comparisons, and best practices in enhancing job satisfaction and performance in this crucial profession.
Keywords:
Job satisfaction, job performance, civil engineers, construction companies, Correlation
Cite Article:
"Job Satisfaction And Job Performance Of Civil Engineers Working In Construction Companies", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.e733-e745, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404476.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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