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The Effect of Islamic Leadership, Islamic Spirituality, and Islamic Work Ethic on Job Satisfaction: Studies in PT bank Syariah Indonesia Riani, Desmy; Hasnin, Hannisa Rahmaniar; Maulani, Denia; Megawati, Dewi; Syahdiany, Geny; Septiyani, Fitria Ika
Neraca Keuangan : Jurnal Ilmiah Akuntansi dan Keuangan Vol. 20 No. 3 (2025)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/neraca.v20i3.21370

Abstract

This study aims to analyze the extent to which Islamic Work Ethic, Islamic leadership, and Islamic spirituality influence the job satisfaction of Bank Syariah Indonesia employees. The study uses a quantitative approach with an explanatory design and a cross-sectional survey of 300 employees of Bank Syariah Indonesia at the head office and regional offices selected through purposive sampling. Data were collected using a five-point Likert scale online questionnaire and analyzed with a Partial Least Squares-based structural equation model using SmartPLS 3. The results show that Islamic leadership, Islamic spirituality, and Islamic work ethic have a positive and significant effect on job satisfaction, with Islamic leadership being the factor that has the greatest influence. These findings indicate that the alignment between work ethic, leadership style, and Islamic spirituality with the sharia organizational culture plays an important role in increasing employee job satisfaction and forms the basis for strengthening Islamic value-based human resource management policies at Bank Syariah Indonesia.
Mapping the Global Landscape of Export Readiness: A Two-Decade Bibliometric Analysis Hasnin, Hannisa; Riani, Desmy; Kuraesin, Ecin; Syahdiany, Geny
Neraca Keuangan : Jurnal Ilmiah Akuntansi dan Keuangan Vol. 20 No. 3 (2025)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/neraca.v20i3.22796

Abstract

This study examines the evolving landscape of export readiness through a hybrid approach combining Bibliometric Analysis and a Systematic Literature Review (SLR). Utilizing data from the Scopus database spanning the period from 2005 to 2025, the research identifies 97 relevant scientific articles through the rigorous PRISMA protocol. Analysis was conducted using Biblioshiny and VOSviewer to map authorship networks, citation trends, and thematic clusters. Findings reveal a steady 15.22% annual growth in research interest, with institutions such as North-West University and the University of Wisconsin-Madison emerging as leading contributors. Thematic mapping highlights a transition from traditional themes like export performance and general economics toward emerging concerns such as digital adoption, structural reforms, and decision-making processes. The results pinpoint a significant research gap: the lack of interconnection between export readiness, advanced technology, and institutional governance, particularly within developing economies. This study provides a comprehensive knowledge map that serves as a foundation for future researchers and policymakers to develop more integrated frameworks for internationalization.
Transformation of HR Management by Artificial Intelligence: A Study on PT Cisarua Mountain Dairy Sri Wahyuni, Neng Ayu; Agung, Syahrum; Syahdiany, Geny
Educational Researcher Journal Vol. 3 No. 1 (2026): Educational Researcher Journal
Publisher : Sekolah Pascasarjana Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71288/educationalresearcherjournal.v3i1.134

Abstract

This study examines the role of Artificial Intelligence (AI) as a catalyst in the transformation of the strategic function of Human Resource Management (HRM) at PT Cisarua Mountain Dairy, an entity in the Fast-Moving Consumer Goods (FMCG) industry. The research background moves from the imperative of digital transformation that drives the evolution of MSDM from a conventional administrative model to a data-driven and predictive paradigm. Using a qualitative approach and instrumental case study design, this study explores the implementation dimensions, operational-strategic impacts, and complexity of challenges in the adoption of AI technology in the HR domain. Data collection was conducted through triangulation of methods, including semi-structured interviews with key informants (HR management, recruitment practitioners, and technologists), non-participant observations, as well as analysis of policy documents and internal digital artifacts. The research findings identify two main domains of AI adoption: (1) optimization of the talent acquisition process through algorithm-based screening and candidate matching systems, and (2) the development of people analytics systems for predictive modeling related to employee retention and development planning. The implementation has an impact on improving process efficiency, reducing bias in selection, and more precise analytical capacity. However, this study also reveals the existence of a significant implementation gap, which is represented by challenges in the form of organizational cultural resistance to automation, digital literacy gap, and ethical dilemmas around data privacy, algorithmic transparency), and accountability of decision-making by machines. This study makes a conceptual contribution by offering a contextual perspective on the transformation of digital HR in a large-scale national enterprise environment, as well as practical implications for the formulation of smart technology integration roadmaps and policies in talent management practices