Moonlighting In It Services-Analysis Through Structural Equation Modeling

Abstract

Moonlighting employees hold multiple jobs at the same time. Due to the increased financial burdens associated with raising children, buying a house, and   Moonlighting denotes to the act of working at an extra job, specifically without notifying the employer^. It can involve taking on part-time jobs in addition to regular obligations. Moonlighting employees hold multiple jobs at the same time. Due to the increased financial burdens associated with raising children, buying a house, and many other reasons, some employees tend to move onto a second job due to insufficient income or hours from their primary job; married workers are more likely to work multiple jobs. It is also understood that in most cases, unskilled workers will moonlight due to insufficient wages and among professional employees specifically IT services, they tend to moonlighting due to their expertise in a specific domain and prefer to do more than one job to gain income out of their area of expertise. This phenomenon helps employees supplement their income, pursue personal interests, and acquire new skills and expertise; it also poses a significant threat to employers through conflict of interest, client poaching, and reduced employee productivity and with an intention of understanding the employee moonlighting and assessing their perception towards employed workers on the moonlighting. This study is based on both analytical and descriptive research design Convenience sampling has been adopted for collecting the data from Greater Hyderabad (an IT hub) in the state of Telangana, India, developed a structured questionnaire, that included a combination of query types, such as open-ended, long-form, or short-ended questions where in respondents can provide us the data without any difficulty.  A total of 591 completed questionnaires were returned, yielding a response from the 630 questionnaires distributed.  Statistical analysis were conducted using SPSS 23.0 Structural Equation Modeling (SEM) was applied in order to  study the relationships between variables through the use of two main sets of equations. Such as factors influencing moonlighting behaviour of employees.