‘Leave or remain’: intentions of Gen X and Y employees

R. S. Weerarathne (), M. D. C. P. Walpola (), A. D. W. D. Piyasiri (), I. A. U. M. Jayamal (), T. H. P. C. Wijenayaka () and G. Y. Pathirana ()
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R. S. Weerarathne: SLIIT Business School, Sri Lanka Institute of Information Technology (SLIIT)
M. D. C. P. Walpola: SLIIT Business School, Sri Lanka Institute of Information Technology (SLIIT)
A. D. W. D. Piyasiri: SLIIT Business School, Sri Lanka Institute of Information Technology (SLIIT)
I. A. U. M. Jayamal: SLIIT Business School, Sri Lanka Institute of Information Technology (SLIIT)
T. H. P. C. Wijenayaka: SLIIT Business School, Sri Lanka Institute of Information Technology (SLIIT)
G. Y. Pathirana: SLIIT Business School, Sri Lanka Institute of Information Technology (SLIIT)

Quality & Quantity: International Journal of Methodology, 2023, vol. 57, issue 3, No 13, 2249-2268

Abstract: Abstract This study looks into a predictive model to ascertain the turnover of Generation ‘X’ and ‘Y’ employees. Based on Erving Goffman’s frame analysis theory, three key factors such as the nature of working styles, social values and the personal values have been identified as influencing factors. The impact of these factors on workplace behavior in terms of intention to leave or remain with the organization has been tested using responses of 297 employees. The data were collected using a survey questionnaire. Data were analyzed using the Binary Logistic Regression and the Neural Network Analysis to ensure the level of accuracy in Predictive Analysis of Generation X and Y. It was found that differences in characteristics and behavior between the two Generations lead to a higher turnover rate in Generation ‘Y’ than in Generation ‘X’. Moreover, the researchers predicted data related to retention and intention to leave of the two Generations based on the sample.

Keywords: Comparison; Generation ‘X’; Generation ‘Y’; Predictive analysis; Workplace (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11135-022-01456-z

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