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p-Index From 2021 - 2026
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All Journal Ebisnis Manajemen International Journal of Economics and Management Research
Itaul Masarroh
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Metode Penilaian Kinerja yang Efektif di ASEAN : Systematic Literature Review Itaul Masarroh; Mochammad Isa Anshori
Ebisnis Manajemen Vol. 2 No. 4 (2024): December : Ebisnis Manajemen
Publisher : Fakultas Ekonomi & Bisnis, Universitas Nusa Nipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59603/ebisman.v2i4.598

Abstract

Performance management is a systematic process used to improve organizational productivity by aligning individual, team and organizational goals. Effective HR management policies are key in helping companies recruit, develop, motivate and retain quality employees. This research uses the Systematic Literature Review (SLR) method as an approach to examine the issues raised, namely employee performance appraisal in a company. The results of the search and evaluation process in this systematic literature review resulted in 19 research journals relevant to the subject being studied. The results show that effective methods for global performance appraisal, such as 360-degree feedback, Management by Objectives (MBO), and performance appraisal feedback, are proven to improve performance quality by providing constructive feedback, ensuring the linkage of individual and organizational goals, and increasing employee motivation.
Motivations Behind e-WOM and Brand Engagement on Consumer Platforms: A Systematic Review Itaul Masarroh; Muh. Syarif; Suyono Suyono
International Journal of Economics and Management Research Vol. 4 No. 3 (2025): December : International Journal of Economics and Management Research
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijemr.v4i3.512

Abstract

The purpose of this study is to determine and examine the factors that influence customers' decision to use electronic word-of-mouth (e-WOM) on consumer opinion platforms, as well as the impact of brand involvement on this behavior. This study synthesizes 21 peer-reviewed journal papers using a Systematic Literature Review (SLR) approach informed by PRISMA guidelines in order to better understand the underlying elements that motivate consumers to express their thoughts online. The findings reveal that consumer participation in e-WOM is influenced by intrinsic factors such as altruism, self-enhancement, and community involvement, as well as extrinsic factors including financial incentives. Furthermore, emotional, cognitive, and behavioral brand engagement significantly contributes to the tendency to engage in both positive and negative e-WOM. The review also highlights that intense brand engagement can enhance loyalty while simultaneously increasing the likelihood of negative e-WOM when expectations are unmet. These insights suggest that the relationship between consumer motivation, brand engagement, and e-WOM is both complex and contextual, shaped by the digital platform in use, product category, and prevailing cultural norms. This study contributes theoretically to consumer behavior literature and offers practical implications for developing more personalized, participatory, and responsive digital marketing strategies in the age of social media.
Systematic Literature Review: Business Ethics in the Use of Recommendation Algorithms in the Digital Era Nuriya Fadilah; Itaul Masarroh; Iriani Ismail
International Journal of Economics and Management Research Vol. 5 No. 1 (2026): April: International Journal of Economics and Management Research
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijemr.v5i1.606

Abstract

This study examines how recommendation algorithms, powered by big data and artificial intelligence, drive the growth of digital businesses by personalizing user experiences. Through a review of 21 studies, it identifies key ethical challenges such as algorithmic bias, privacy breaches, lack of transparency, and behavioral manipulation through dark patterns. To mitigate these issues, the literature emphasizes the importance of implementing the Fairness, Accountability, and Transparency (FAT) framework using explainable AI, user data control mechanisms, regular algorithm audits, and compliance with legal frameworks such as the GDPR. The study further highlights the need for deeper research on data governance, integration between GDPR and Indonesia’s Personal Data Protection Law (UU PDP), and more interdisciplinary and longitudinal studies, particularly in Southeast Asia. These findings underscore the necessity of maintaining a balance between technological innovation and ethical accountability to foster a sustainable and trustworthy digital ecosystem that supports both user protection and business growth.
Co-Authors Anshori, Mochammad Isa Iriani Ismail Muh. Syarif Nuriya Fadilah Suyono Suyono