IMPLICATION OF QUALITY WORKFORCE IN INDUSTRIAL SECTOR: THRUST ON QUALITY WORKFORCE AS A CHALLENGE IN DEMOGRAPHIC DIVIDEND.

More quality workers means more hands to do the will increase production. This would flush more income into the economy and would improve the living standards of the people leading to general welfare and thereby economic development. But quality workforce is a challenge in demographic dividend. Majority of people are young does not automatically add to more national income. This only means that a major chunk of the population can be made productive by improving their skills and providing quality education. Industries have to invest more on human resources development. Behind success of any organization, the quality workforce is there to drive its performance, keep smooth operations and make the organization succeed in a competitive marketplace. The organizations that wish to maximize their financial performance and enhance their standing within their competitors need to pay close attention to the recruitment and retention of quality human resources. Finding and retaining good employees is one the important concern of any organization. Besides physical environment there is an emotional environment present at every workplace that resisters with an employee as either a positive or negative factor in his or her life. An organization have to earn itself a reputation among the workforce that qualified applicants would attracted every time a job opens up. So a favorable work environment has a lot to do with reducing the rate of employee turnover and financial compensation which is important and ultimate motivation of any employee. The study have shown that the investing in training is one of the ways an industry can help in developing quality workforce, while reaping other benefits like retention, job satisfaction, motivation, career growth of workforce. The study is carried out in four manufacturing industries in Nagpur which strongly believes on the quality workforce as a key to success. Data has been collected though the process of interviewing higher authorities and workforce of the industries as well as by conducting questionnaire survey for the workforce. Samples of workforce for survey is selected randomly, whereas samples of higher authorities foe the interview are selected according to convenience as approved and support of the participating industries for the study was a factor not under the control of the researcher. Industries, record has helped a lot to reach to conclusion After collection of data, that data has been systematically pooled for further analysis. Hypothesis testing has been done with the of ANNOVA test.