Thick Data Analytics: A Detailed Analysis of Employee Job Satisfaction
AUTHORS
Jianbang Du,Innovative Transportation Institute, Texas Southern University, United States
ABSTRACT
The goal of this study was to investigate the association between employee well-being and productivity in the private sector of downtown Visakhapatnam. To take part in this study, a total of 180 individuals from Visakhapatnam private sector workplaces were recruited. There was a total of 60 persons in attendance, representing three different industries: healthcare, banking, and higher education. The participants were chosen at random from a group of 60 persons. The Performance Evaluation Version (PRF) and the Minnesota Satisfaction Questionnaire Short Form (MSQ-short form), both developed by Weiss et al., were used by the researchers in this study (1967). We began by analyzing the reliability statistics of the instruments to ascertain whether or not the scales made a difference in the results. According to the findings of the study, the type of job that people do has an impact on their degree of satisfaction at work. Employees that are happy in their jobs are also more productive in the workplace. Employees who were satisfied with their jobs outperformed those who were dissatisfied, according to the findings of the research. This had a huge influence on both of their businesses as well. When it comes to getting the most out of their employers, employees in Peshawar must be motivated and delighted in a variety of ways to be successful. This is the case because the economics and politics of Visakhapatnam are not always straightforward.
KEYWORDS
Thick data, Data analytics, Employees, Jobs, Questionnaire
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