Syifa Pramudita Faddila
Universitas Pendidikan Indonesia

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Employee Relationships in the Tourism Industry: A Systematic Literature Review (SLR) and Bibliometric Syifa Pramudita Faddila; Syamsul Hadi Senen
West Science Interdisciplinary Studies Vol. 1 No. 12 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i12.465

Abstract

This study aims to explore the phenomenon of employee relationships in the tourism industry, as well as provide an overview for managers in dealing with their employees. The study is a systematic literature review using the Scopus database by analyzing 55 articles related to employee relations. Bibliometric analysis is also used with the help of Vos Viewer software to view visualizations of the analysis results. This study shows that employee relationships are critical to the success of any organization. When employees feel valued, supported, and respected, employees are more likely to be more motivated, productive, and loyal.
The Effect of Financial Attitude on Financial Satisfaction with Financial Management as Mediator: Empirical Evidence on Gen Z in Karawang Fitri Novilia; Syifa Pramudita Faddila; Budi Supriatono Purnomo; Imas Purnamasari
West Science Accounting and Finance Vol. 1 No. 03 (2023): West Science Accounting and Finance
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsaf.v1i03.419

Abstract

The Indonesian population, especially Generation Z, still faces challenges in managing their finances, both in the present and the future. This issue arises due to a lack of knowledge about financial investment. The objective of this research is to assess the financial level of Generation Z using a questionnaire filled out by 96 respondents. The independent variables involve financial attitudes, the intervention variable is financial management, and the dependent variable in this study is financial satisfaction. The data analysis technique used is descriptive analysis. The results of the descriptive analysis indicate that financial attitudes are categorized as excellent, financial management is categorized as good, and financial satisfaction is categorized as good.