Kristianto, Fajar
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The Effect of Work Environment, Work Motivation, and Compensation on Employee Performance: JEL Classification: J24, J33, M12, M54 Kristianto, Fajar; Nisa, Aribia Razzina Ainun; Junaedi, Seftyan Pamungkas; Narensa, Verena Pruedira
Journal La Bisecoman Vol. 6 No. 3 (2025): Journal La Bisecoman
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallabisecoman.v6i3.2422

Abstract

This study aims to examine the influence of work environment, work motivation, and compensation on employee performance through a literature review approach. The study uses a literature review method by analyzing journals published in the last ten years. The population consists of previous relevant studies, with samples from national and international journals discussing the related variables. The research design is descriptive with content analysis techniques to identify patterns of relationships among variables. The results show that work environment, work motivation, and compensation generally have a positive and significant effect on employee performance, both partially and simultaneously. The novelty lies in the systematic mapping of findings from various studies to provide a comprehensive picture of the relationships among these variables. Companies are advised to improve the quality of the physical and non-physical work environment, enhance fair compensation systems, and manage motivation factors effectively.
PENERAPAN METODE REGRESI LOGISTIK BINER DENGAN MENGGUNAKAN PHYTON UNTUK MENGANALISA PENGGUNA MEDIA SOSIAL TERHADAP PROBABILITAS PEMBUKAAN REKENING PADA BANK X Riyani, Sari; Kristianto, Fajar; Wulandari, Rayuli; Heikal, Jerry
SCIENTIFIC JOURNAL OF REFLECTION : Economic, Accounting, Management and Business Vol. 7 No. 2 (2024): SCIENTIFIC JOURNAL OF REFLECTION: Economic, Accounting, Management, & Business
Publisher : Sekolah Menengah Kejuruan (SMK) Pustek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37481/sjr.v7i2.840

Abstract

In the rapidly developing digital era, financial institutions, such as Bank X, can utilize social media to understand consumer behavior and expand their customer base. This research uses a binary logistic regression method with social media user data to analyze the relationship between online activity and the decision to open an account at the bank X. The aim of this research is to assess the influence of user activity on social media platforms (Instagram, TikTok, Facebook, Twitter and YouTube) on the decision to open an account at the Bank X as well as analyze and identify key variables that influence the decision to open an account, based on media activity data. social. Results show that Instagram has a significant influence, with the combination of social media platforms increasing the probability of opening an account. TikTok and Facebook also have a positive impact, while Twitter and YouTube have a lower impact. Recommended marketing strategy to focus more on Instagram, with an emphasis on a combination of other social media platforms. From the results of the scenario interpretation, Instagram has a significant positive influence on the decision to open an account, with the highest probability among other individual platforms. TikTok, Facebook, and Twitter also have a positive impact, although their probabilities tend to be similar. Meanwhile, YouTube's influence on the decision to open an account seems to be lower than other social media platforms.