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All Journal bit-Tech Journal of Management, Accounting, General Finance and International Economic Issues (MARGINAL) Journal of Economics and Management Scienties International Journal of Economics Studies
Kusuma, Sitta
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Library & Information Science Social Sciences

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Artificial Intelligence in Performance Evaluation (Case Study of PT. Pos Indonesia Employees) Dwianto, Agung; Kusuma, Sitta; Junengsih
bit-Tech Vol. 7 No. 2 (2024): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i2.1817

Abstract

The development of artificial intelligence (AI) has revolutionized various aspects of human resource management, including employee performance evaluation. While existing studies have extensively explored the potential of AI in improving efficiency and objectivity, they often overlook the nuanced employee experiences and organizational dynamics that influence its successful implementation. This research bridges this gap by examining the perceptions and experiences of PT Pos Indonesia employees regarding the use of an AI-based performance evaluation system. Using a qualitative approach with a phenomenological design, data was collected through in-depth interviews with employees who have used the system for at least six months. The findings reveal that AI contributes significantly to enhancing efficiency and reducing subjectivity in evaluations. However, challenges such as algorithm bias, the relevance of performance metrics, and system transparency remain prevalent. Importantly, this study identifies critical factors influencing acceptance, including employee understanding, trust, and perceptions of fairness in the evaluation process. Unlike previous research, this study emphasizes the interplay between technological and human factors, highlighting the irreplaceable role of human interaction in providing qualitative context. This research extends the existing literature by offering a deeper understanding of employee-centered factors and organizational practices that facilitate the integration of AI in performance evaluation. Practically, it provides actionable insights for organizations aiming to implement AI-based systems effectively, ethically, and equitably.
The Role of Social Media in Observing Consumer Behavior in Decision Making in Choosing Barbershop Services Kusuma, Sitta; Madiistriyatno, Harries; Listiorini, Dewi
International Journal of Economics Studies Vol. 2 No. 1 (2025): International Journal of Economics Studies
Publisher : Raudhah Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/tm9csr38

Abstract

This study aims to explore the role of social media in influencing consumer behavior in choosing barbershop services. Qualitative research methods are used with a focus on data collection through in-depth interviews and social media content analysis. Participants in this study were barbershop service consumers who actively use social media to search for information and recommend services. The results of this study reveal that social media has a significant role in shaping consumer perceptions of the quality of barbershop services, as well as influencing consumer decisions in choosing barbershop services. These findings highlight the importance of a strong online presence and a good reputation on social media for barbershop business owners. The practical implication of this study is the need for a digital marketing strategy that is integrated with reputation management to increase consumer appeal and trust in barbershop services.
The Role of Job Rotation and Organizational Communication on Job Satisfaction and Employee Performance: Evidence from Jakarta’s Banking Industry Kusuma, Sitta
JOURNAL OF MANAGEMENT, ACCOUNTING, GENERAL FINANCE AND INTERNATIONAL ECONOMIC ISSUES Vol. 5 No. 1 (2025): DECEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/marginal.v5i1.1955

Abstract

Employee performance is a key factor that determines organizational success because it directly affects productivity and competitiveness. In the banking sector, intense competition demands effective human resource management through strategies such as job rotation, organizational communication, and job satisfaction improvement. This paper aimed to identify and analyze the determinants that bear upon employee performance while simultaneously offering prescriptive insights for organizational leadership. The focal constructs examined as antecedents of performance encompass job rotation, organizational communication, and job satisfaction. Adopting a quantitative orientation, the investigation surveyed personnel within a banking institution located in the Special Capital Region of Jakarta, comprising 240 respondents deemed suitable for inclusion. Methodologically, the study employed descriptive exploration, assessments of construct validity and reliability, alongside Structural Equation Modeling (SEM) as the principal analytical apparatus. Empirical findings affirm that job rotation exerts a favorable and statistically significant influence on job satisfaction, organizational communication likewise yields a constructive and significant impact on job satisfaction, and both job rotation and organizational communication independently manifest positive and significant effects on employee performance. Further, job satisfaction itself emerges as a salient and significant driver of performance outcomes. These findings highlight the importance of effective job rotation and organizational communication in improving job satisfaction, which in turn strengthens employee performance in the banking sector.
Digital Transformation and Resilient Business Models: Unlocking Competitive Advantage in Post-Pandemic SMEs Kusuma, Sitta
Journal of Economics and Management Scienties Volume 8 No. 1, December 2025 (Accepted)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jems.v8i1.248

Abstract

This study explores the role of digital transformation in enhancing the resilience and competitive advantage of Small and Medium Enterprises (SMEs) in the post-pandemic era. Through both qualitative and quantitative analyses, the study examines how SMEs have adopted digital technologies, such as e-commerce, cloud computing, and customer relationship management (CRM), to overcome challenges posed by the pandemic and build sustainable advantages. The findings reveal that digital transformation has a significant positive impact on business resilience, operational efficiency, and customer satisfaction. However, challenges such as limited skilled human resources and high initial investment costs remain barriers to full adoption. The study offers practical implications for SME owners and policymakers, emphasizing the need for strategic investments in digital skills and technology, as well as supportive policies to reduce barriers to digital transformation. Despite some limitations, the study contributes to the literature on resilient business models and the role of digital transformation in SMEs.
Co-Authors Dwianto, Agung Harries Madiistriyatno, Harries Junengsih Listiorini, Dewi