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)
Employee job satisfaction describes how content an individual is with his or her job. The happier people are within their job, the more satisfied they are said to be. Employee satisfaction is not the same as motivation, although it is clearly linked. Job design aims to enhance employee satisfaction and performance; methods include job rotation, job enlargement and job enrichment. Other influences on satisfaction include the management style and culture, employee involvement, empowerment and autonomous work groups. Employee satisfaction is a very important attribute which is frequently measured by organizations. This report intends to analyze two important concepts those are considered mandatory for a successful business. These are job satisfaction and job performance. The main aim of this study is to observe how the employees feel about the company’s work atmosphere and how they are satisfied with the company’s policies. Based in the questionnaire survey results and recommendations are presented to the management to take corrective action plan in a right way.
Keywords:
Company, IT.
Cite Article:
"Study on employee job satisfaction in IT sector", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.1179-1181, May-2022, Available :http://www.ijnrd.org/papers/IJNRD2205144.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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