Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal Indonesian Journal Economic Review (IJER) Business Management Research Innovation Business Management and Accounting Journal
Roby Nur Akbar
Universitas Merdeka Malang
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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The Mediating Role of Organizational Citizenship Behavior in the Relationship Between Social Interaction, Knowledge Management, and Employee Job Satisfaction at Bank BCA East Java Natalia Ellianasari Putri Setiawan; Roby Nur Akbar
Business Management Research Vol. 4 No. 1 (2025): January 2025
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/bismar.v4i1.15849

Abstract

This study investigates the influence of social interaction and knowledge management on employee job satisfaction, mediated by Organizational Citizenship Behavior (OCB), within Bank BCA in East Java during 2024. Employing a quantitative research design, primary data were collected through online questionnaires administered to employees across 36 Bank BCA branches in East Java, selected via purposive sampling. Data analysis involved descriptive statistics, validity and reliability tests, discriminant variable tests, and model fit assessment using the PLS application, with SRMR (Standardized Root Mean Square Residual) utilized for enhanced model accuracy. The findings reveal that not all hypothesized relationships are significant. Specifically, knowledge management does not exert a direct significant effect on job satisfaction. Furthermore, the indirect effect of social interaction on job satisfaction, through OCB as a mediating variable, was also found to be non-significant. These results challenge common assumptions regarding the direct and indirect impacts of social and knowledge-related factors on job satisfaction in a banking context, highlighting the complexity of organizational behavior in practice.
Impact of Social Interaction and Knowledge Management on Job Satisfaction Mediated by Organizational Citizenship Behavior Rofikul Amin; Roby Nur Akbar; Adi Suprayitno; Agus Haryono; Isman Isman; Mohamad Nur Singgih
Innovation Business Management and Accounting Journal Vol. 4 No. 1 (2025): January - March
Publisher : Trescode Green Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56070/ibmaj.2025.002

Abstract

This study aims to analyze the influence of social interaction and knowledge management on job satisfaction, with Organizational Citizenship Behavior (OCB) as a mediating variable among employees of BCA Bank in East Java in 2024. The research employs a quantitative approach, using primary data collected through an online questionnaire from 99 respondents. Data analysis was conducted using Partial Least Squares (PLS) to examine the relationships between variables. The findings reveal that social interaction has a significant direct effect on job satisfaction, underscoring the importance of communication and collaboration among employees in fostering a positive work environment. Conversely, knowledge management does not exhibit a significant impact on job satisfaction, either directly or indirectly through OCB, indicating that the knowledge management strategies currently implemented are suboptimal. Furthermore, OCB fails to mediate the relationship between social interaction and knowledge management with job satisfaction. The conclusion of this study highlights the importance of adopting a more strategic approach focused on strengthening social interactions and optimizing knowledge management to enhance job satisfaction. This research offers practical implications for human resource management to cultivate a more collaborative work culture and support OCB behavior, ultimately improving employee productivity and overall well-being.
AI-Driven Personalization and Purchase Intention: The Mediating Role of Algorithmic Fairness Perception Roby Nur Akbar; Kamaluddin; Nirwana; Adi Suprayitno
Indonesian Journal Economic Review (IJER) Vol. 6 No. 3 (2026): September
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ijer.v6i3.915

Abstract

Artificial intelligence (AI)-driven personalization has revolutionized digital commerce by enabling platforms to provide highly tailored recommendations, customized content, and adaptive shopping experiences. Although prior research has established that AI personalization positively influences consumer responses through dimensions such as trust, usefulness, and satisfaction, there has been limited exploration of how consumers assess the fairness of algorithmic decision-making prior to forming purchase intentions. Furthermore, few studies have integrated AI-driven personalization, brand experience, perceived value, and social proof into a cohesive framework that elucidates consumer behavior through the lens of algorithmic fairness perception. To address this gap, the present study examines the mediating role of algorithmic fairness perception in elucidating how AI-enabled marketing stimuli affect purchase intention. A quantitative cross-sectional survey was conducted involving 400 consumers with experience using AI-enabled e-commerce platforms, and the proposed model was analyzed utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that AI-driven personalization, brand experience, perceived value, and social proof significantly enhance algorithmic fairness perception. Additionally, AI-driven personalization, brand experience, perceived value, and algorithmic fairness perception substantially increase purchase intention, while social proof does not exhibit a significant direct effect. Nevertheless, algorithmic fairness perception serves as a significant mediator in the relationships between all antecedent variables and purchase intention. The originality of this study lies in positioning algorithmic fairness perception as the central psychological mechanism that translates AI-enabled marketing strategies into consumer purchase intention within a Stimulus–Organism–Response (SOR) framework. These findings contribute to the growing body of literature on AI marketing by shifting the analytical focus from technological effectiveness to ethical algorithmic evaluation, offering practical guidance for the development of transparent, responsible, and consumer-oriented AI systems that promote sustainable customer relationships.
Co-Authors Adi Suprayitno Agus Haryono Amin, Rofikul Isman Isman Kamaluddin Natalia Ellianasari Putri Setiawan Nirwana Singgih, Mohamad Nur