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All Journal Trending: Jurnal Manajemen dan Ekonomi Brilliant International Journal of Management and Tourism
Marwan Effendi
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Pengaruh Kompensasi Terhadap Kinerja Karyawan CV. Mega Anugerah Kudus Ira Aprilia; Marwan Effendi
Trending: Jurnal Manajemen dan Ekonomi Vol. 2 No. 3 (2024): Juli : Trending: Jurnal Manajemen dan Ekonomi
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/trending.v2i3.2729

Abstract

Human resources have a major role in a company. HR is related to various elements that influence performance, one of which is compensation. Compensation is an important aspect of a company that must be given to employees because with compensation, employees feel more enthusiastic about completing work more optimally. This research aims to determine the effect of compensation on employee performance at CV Mega Anugerah Kudus. The research method uses quantitative mixed methods to study the relationship between compensation variables and employee performance. The results of this research were obtained from the results of the t (partial) test which showed the value tcount>ttable (2,374 > 1,686), with a significance of 0.023 < 0.05. The research results show that there is a significant positive influence of compensation on the performance of CV employees. Mega Anugerah Kudus.
Exploring the Impact of Artificial Intelligence on Consumer Behavior Marwan Effendi; Alfi Fuadah; Mar'atush Sholihah
Brilliant International Journal Of Management And Tourism Vol. 5 No. 2 (2025): June : Brilliant International Journal Of Management And Tourism
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/bijmt.v5i2.4723

Abstract

This study explores the impact of artificial intelligence (AI) on consumer behavior within digital commerce environments. The rapid integration of AI technologies such as personalized recommendations, automated customer service, and algorithmic decision making has reshaped how consumers interact with brands, influencing both psychological and behavioral outcomes. However, existing models like the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) often overlook emotional, trust related, and contextual dynamics in AI mediated interactions. This research aims to fill these gaps by applying a qualitative, systematic literature review methodology, guided by the Stimulus Organism Response (S-O-R) framework. Through reflexive thematic analysis of academic sources published between 2020 and 2025, four key constructs were identified: AI personalization, consumer trust, emotional response, and technological readiness. Findings indicate that while AI driven personalization enhances engagement and purchase intention, its effectiveness depends on trust, emotional comfort, and individual readiness to adopt new technologies. The study proposes a conceptual model integrating these factors, highlighting that AI’s success in shaping consumer behavior hinges on ethical design, transparency, and psychological alignment with user traits. These insights extend current theoretical understanding and offer practical implications for marketers and system designers. The study concludes that a consumer centric, emotionally intelligent approach to AI design is essential to achieving sustainable digital engagement and loyalty.
Co-Authors Alfi Fuadah Ira Aprilia Mar'atush Sholihah