English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Aims: Previous studies show a significant attitudinal difference between Generation Y and others in the context of Work-Life Balance. The present study aimed at finding promising factors and the magnitude of them in affecting Work-Life Balance of Generation Y employees. Study Design: The study was a quantitative, cross-sectional inquiry of the determinants of WorkLife Balance which equipped an email survey (N = 213). Place and Duration of Study: The was primarily based on Kandy District of Sri Lanka. Approximately, the study stood for six months (February 2019 to August 2019). Methodology: Determinants of Work-Life Balance, namely; Flexibility & freedom, Motivation, Job satisfaction, Feedback & support and Technological adaption were tested for their influence over Work-Life Balance. The survey instrument had 32 items of which the responses were measured against a five-point Likert scale. A Google form of the instrument was e-mailed to respondents (85.2% response rate). Data was analyzed using univariate and multivariate techniques. Results: Results of multiple regression analysis detected Job satisfaction (β = .287; p < .001), Flexibility & freedom (β = .198; p < .001) and Feedback & support (β = .181; p < .001) as principal Original Research Article Tennakoon and Senarathne; SAJSSE, 8(4): 142-154, 2020; Article no.SAJSSE.63034 143 determinants of the Work-Life Balance of Generation Y employees. Technological adaption (p >.001) and Motivation (p > .001) found insignificant in affecting Work-Life Balance of Generation Y employees. Conclusion: The study was theoretically profound as it refined determinants of Work-Life Balance determinants specific to Generation Y. Practically, findings are useful in crafting any action plan towards enhancing Work-Life Balance of Generation Y employees who are currently the most active group in the workforce.

Investigating the Determinants of Work-life Balance (WLB): Insights from Generation Y Employees in Sri Lanka