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All Journal Enrichment : Journal of Management Jurnal Kolaboratif Sains Journal of Economics Research and Policy Studies Jurnal Ilmu Sosial dan Humaniora Journal of Artificial Intelligence and Digital Business Digital Bisnis: Jurnal Publikasi Ilmu Manajemen Dan E-commerce Jurnal Ekonomi Pembangunan, Manajemen & Bisnis, Akuntansi Jurnal Pengabdian Masyarakat STIE Surakarta (DIMASETA) Priviet Social Sciences Journal Paramacitra : Jurnal Pengabdian Masyarakat Ecoducation Ekopedia: Jurnal Ilmiah Ekonomi Jejak digital: Jurnal Ilmiah Multidisiplin Aksi Kita: Jurnal Pengabdian Kepada Masyarakat Indonesia Economic Journal Jurnal Bersama Ilmu Ekonomi Educational Journal Jurnal Ilmiah Ekonomi dan Manajemen Indonesia
Muhammad Ramadhani Kesuma
Universitas Mulawarman
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Integrating Behavioral Economics into Decision-Making Models: A Bibliometric Review Andi Afifah; Azaria Alifah Chiaradeuis; Elga Arjuna; Ardani Ardani; Disma Sang Wisangghabumi; Muhammad Aldi Gunawan; Muhammad Ramadhani Kesuma
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/4f7yw539

Abstract

This study aims to analyze the development of literature on the integration of behavioral economics into decision-making models through bibliometric analysis, with emphasis on collaboration patterns, thematic evolution, and emerging research frontiers. Data were retrieved from the Scopus database using search queries encompassing behavioral economics, behavioral finance, prospect theory, bounded rationality, and cognitive bias combined with decision-making and financial management terms. A total of 394 articles were analyzed using VOSviewer software, covering co-authorship networks, co-occurrence of keywords, and text-data mapping. The analysis reveals well-established academic collaboration networks spanning multiple countries, with behavioral finance, investment decisions, and prospect theory emerging as central research themes. Co-occurrence mapping further identifies bounded rationality and cognitive bias as foundational constructs driving the integration of behavioral economics into financial decision-making models. These findings guide researchers and practitioners toward high-impact collaboration clusters and underexplored thematic gaps, supporting the design of more behaviorally informed financial decision-making frameworks. This study contributes a systematic bibliometric mapping of an expanding interdisciplinary field, providing the first comprehensive network view of how behavioral economics intersects with decision-making research across diverse geographic and institutional contexts.  
Bibliometric Analysis of Decision-Making Models in The Context of Bounded Rationality Ananda Lydia Putri Salwa; Kaisar Khoirul Alwan; Muhammad Rizqullah; Risna Lulu'ul Maknun; Sabrina Perlita; Margareth Henrika; Muhammad Ramadhani Kesuma
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/z6ngcf43

Abstract

This study maps the intellectual landscape of decision-making models within the bounded rationality framework, specifically as it applies to financial management research. A systematic bibliometric analysis was conducted on publications retrieved from Scopus and Web of Science, covering the period from the 2000 to 2026 and analyzed using VOSviewer software.Publication trends exhibit a fluctuating yet upward trajectory concentrated in the most recent period, while inter-author and inter-country collaboration networks remain underdeveloped. Keyword co-occurrence analysis identifies bounded rationality as the conceptual core of the field, with visible thematic evolution from formal decision theory toward behavioral finance and artificial intelligence integration.Financial practitioners and policymakers should incorporate behavioral and cognitive constraints into decision-support frameworks, particularly in investment and risk management contexts.This paper contributes a systematic cartography of bounded rationality scholarship in financial management, identifying understudied themes and open directions for future research.
Exploring The Relationship Between Decision-Making Styles and Organizational Performance: A Bibliometric Study Erina Permata Dewanti; Khusnul Hafifah Farwati; Nabila Anatasya; Aulia Dwi Aminarti; Ellya Gust Priani; Rohana Nur Aini; Muhammad Ramadhani Kesuma
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/1tg71k86

Abstract

This study examines the intellectual structure and evolution of research on the relationship between decisionmaking styles and organizational performance within the human resource management (HRM) domain, identifying thematic clusters, collaborative networks, and emerging research gaps. A systematic bibliometric analysis was conducted using publication data retrieved from Scopus and the Web of Science Core Collection, spanning the 1990s to the present. VOSviewer was employed to map co-authorship networks, country collaboration patterns, and keyword co-occurrence structures. The analysis reveals that authorship collaboration is clustered into two primary groups, with Hamzah Elrehail functioning as a key bridging node. The United States and the United Kingdom dominate the global collaboration network. Keyword co-occurrence analysis confirms that decision-making styles are closely linked to organizational performance, mediated by strategic, technological, and behavioral factors including artificial intelligence, knowledge management, and intellectual capital. Organizations are advised to adopt flexible, context-sensitive decision-making approaches that combine rational, intuitive, and adaptive styles rather than relying on a single mode, thereby enhancing long-term organizational performance. This study provides a comprehensive bibliometric mapping of two decades of research at the intersection of decision-making styles and organizational performance, identifying underexplored areas including cross-cultural and longitudinal studies, and offers a structured foundation for future empirical work in this domain. 
Analytical Hierarchy Process (AHP) in Decision-Making: A Bibliometric Study Desvita Putri Maharani; Syahfiah Syahfiah; Wiola Wasa Pebrina Herda; Jelita Jelita; Retno Fitrian Nastiti; Muhammad Ramadhani Kesuma
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/mwev5757

Abstract

This study examines the intellectual trajectory and thematic evolution of Analytical Hierarchy Process (AHP) research in decision-making, with particular emphasis on financial management and risk management contexts, using a bibliometric approach.  Quantitative bibliometric analysis was conducted using 483 scientific articles retrieved from the Scopus database, processed through VOSviewer software to map publication trends, author and country collaboration networks, and evolving research themes through co-authorship and co-occurrence analyses. AHP remains a prevalent and methodologically versatile tool in multi-criteria decision-making, with dominant scholarly contributions from China, the United States, and India. Thematically, the literature clusters around risk assessment, multi-criteria decision making, and decision support systems, while emerging trends indicate increasing integration with fuzzy logic and Geographic Information System (GIS) technologies.  Practitioners and policymakers in financial management and risk-intensive sectors can draw on AHP-based frameworks to structure complex, multi-criteria evaluations more systematically. This study provides a comprehensive bibliometric mapping of AHP research in management and finance, revealing fragmentation in global collaboration networks and identifying underexplored intersections between AHP and emerging digital technologies as productive directions for future research.  
Ethics in Decision-Making: A Bibliometric Study of Emerging Trends in Financial Management Assyfha Nisrina Rahma; Nur Syamsiyah Fauziyah; Restu Amalia; Rifatul Hasanah; Muhammad Aditya Saputra; Lusiana Desy Ariswati; Muhammad Ramadhani Kesuma
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/865ayn13

Abstract

Ethics in decision-making has become a fundamental aspect of financial management, as decision-makers frequently navigate dilemmas between achieving financial objectives and upholding moral values such as transparency, fairness, and social responsibility. Originating from business ethics scholarship, this concept emphasizes that financial decisions should not rely solely on economic rationality but must also incorporate ethical principles to prevent conflicts of interest and misuse of authority. n practice, ethics influences fund allocation, financial reporting, risk management, and corporate governance. Violations of ethical principles may precipitate corporate scandals and significantly erode public trust in organizations. Over time, discourse on ethics in decision-making has evolved through the integration of behavioral perspectives, corporate governance frameworks, and emerging technologies such as artificial intelligence (AI) for detecting potential ethical biases. However, systematic studies that comprehensively map the intellectual development of this field remain relatively limited. Therefore, this study applies a bibliometric analysis approach to identify publication trends, research collaboration patterns, and emerging thematic clusters in ethics in decision-making scholarship, drawing on 400 peer-reviewed articles sourced from the Scopus database covering the 2000s to the present.
Data-Driven Decision-Making in Financial Management: A Comprehensive Bibliometric Analysis of Global Trends, Knowledge Structures, and Emerging Frontiers Gusti Kayla Fadilah Hafsyari; Indri Kalila Hardayani; Raisyah Adindaffa Putri; Faras Putri Sabina; Arjuna Fauzan Ahmad; Lusiana Desy Ariswati; Muhammad Ramadhani Kesuma
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/266z2738

Abstract

This study examines the intellectual evolution, knowledge structure, and global research trends of data-driven decision-making (DDDM) as applied to financial management, providing a systematic mapping of the field from its origins through its contemporary frontiers. A quantitative bibliometric analysis was conducted using publication data retrieved from Scopus spanning from the 2000s to the present. The dataset was analyzed using VOSviewer software, applying co-authorship, co-occurrence, and citation mapping techniques.The results reveal a significant upward trajectory in publications over the study period, reflecting the growing salience of DDDM in academic discourse. Collaborative research networks are dense and predominantly anchored by the United States, though emerging economies are increasingly participating. Core thematic clusters center on big data, machine learning, and predictive analytics, while the most recent trends signal a convergence toward the Internet of Things and digital twin technologies. Critical concerns around data security, ethics, and regulatory compliance are identified as cross-cutting challenges.Financial managers and policymakers can leverage these findings to identify underexplored research niches and anticipate the next generation of analytical tools required for sustainable financial decision-making. This study offers the first comprehensive bibliometric mapping of DDDM specifically situated at the nexus of financial management and advanced analytics, extending prior reviews by incorporating temporal overlay analysis and identifying the IoT-digital twin frontier as the emerging research horizon.
Pengaruh Harga dan Kualitas Produk terhadap Keputusan Pembelian Ulang pada Industri Minuman Kopi Nurul Shafira; Resiani Bungan Layuk; Serly Lutvia Ikmala; Faiz Abdullah; Muhammad Zidan; Muhammad Ramadhani Kesuma; Lusiana Desy Ariswati
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/nkeqgs54

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh harga dan kualitas produk terhadap keputusan pembelian ulang pada industri minuman kopi dengan fokus pada konsumen Generasi Z di Kota Samarinda. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan teknik purposive sampling, jumlah responden sebanyak 100 orang yang dikumpulkan melalui kuesioner daring. Analisis data dilakukan menggunakan pendekatan Structural Equation Modeling berbasis Partial Least Square (SEM-PLS) dengan bantuan SmartPLS 4 melalui evaluasi outer model, evaluasi inner model, dan pengujian hipotesis menggunakan prosedur bootstrapping. Hasil penelitian menunjukkan bahwa harga berpengaruh positif dan signifikan terhadap keputusan pembelian ulang dengan nilai T-Statistics sebesar 3,289 dan P-Values sebesar 0,001. Selain itu, kualitas produk juga berpengaruh positif dan signifikan terhadap keputusan pembelian ulang dengan nilai T-Statistics sebesar 2,116 dan P-Values sebesar 0,034. Nilai R-Square sebesar 0,442 menunjukkan bahwa variabel harga dan kualitas produk mampu menjelaskan keputusan pembelian ulang sebesar 44,2%, sedangkan sisanya dipengaruhi oleh faktor lain di luar penelitian. Temuan ini menunjukkan bahwa strategi penetapan harga yang kompetitif serta konsistensi kualitas produk memiliki peran penting dalam mempertahankan loyalitas pelanggan Generasi Z di pasar yang kompetitif.
Machine Learning in Decision Support Systems: A Bibliometric Study of Intellectual Structures, Thematic Evolution, and Future Research Directions Mohammad Arsyad; Raven Naufal Azka; Muhammad Haiqal Aulia Risian; Muhammad Zainuri; Rifky Fadlian Noor; Chandika Mahendra Widaryo; Muhammad Ramadhani Kesuma
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/q2ka3a64

Abstract

This study examines the intellectual structure and thematic evolution of research on machine learning (ML) in decision support systems (DSS), with particular attention to the financial management domain, through a bibliometric approach spanning 1993 to 2026. Data were retrieved from the Scopus database and analysed using performance analysis and science mapping methods, supported by VOSviewer to identify publication trends, collaboration networks, and co-occurrence patterns.  The study reveals an annual growth rate of 13.88% in publications, reflecting sustained and accelerating scholarly interest. Collaboration networks remain fragmented, with China, India, and the United States occupying central positions. Thematic analysis indicates a transition from classical ML methods toward advanced integrations encompassing artificial intelligence, big data, and risk analytics.  The findings provide strategic guidance for researchers and practitioners seeking to advance interpretable and ethically grounded ML-based DSS in financial decision-making environments. This study contributes a comprehensive bibliometric mapping of ML in DSS research, identifies persistent intellectual gaps, and proposes a structured agenda for future inquiry integrating explainable AI and cross-disciplinary collaboration.
Risk Management in Decision-Making: A Bibliometric Study Zan Zabila; Ghina Zahira Syahda; Andi Ahmad Aji Ripaldi; Dicko Syahputra; Muhammad Gibran Rustu; Margareth Henrika; Muhammad Ramadhani Kesuma
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/6fjffe28

Abstract

This study examines the intellectual landscape of risk management in decision-making through a systematic bibliometric analysis of scholarly publications indexed in Scopus. The study employs a bibliometric method using 168 articles retrieved from Scopus via Boolean keyword search. VOSviewer software was used to conduct co-authorship, co-occurrence, and country collaboration analyses. Publication output has grown significantly over time, reflecting heightened academic interest. Risk management and risk assessment constitute the dominant thematic core, while emerging research clusters reveal a shift toward technology-integrated approaches, including machine learning and big data analytics, alongside growing attention to sustainability and ESG dimensions. Practitioners and policymakers can leverage the identified research clusters to prioritize technology-enabled risk frameworks, particularly in financial decision-making contexts within emerging markets. This study provides a comprehensive mapping of the risk management and decision-making nexus, identifying thematic gaps and underexplored intersections with digital transformation and sustainability that set a future research agenda for financial management scholars.
Analytic Hierarchy Process in Risk Assessment: A Bibliometric Perspective Faradillah Febriyanti; Inggit Istani Putri; Muhammad Eko Wahyudi; Putri Nandira; Queen Firakirana Ramadhani; Via Zahwa Niagara; Lusiana Desy Ariswati; Muhammad Ramadhani Kesuma
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/ve7w8417

Abstract

This study analyses the development of research on the application of the Analytic Hierarchy Process (AHP) in risk assessment through a bibliometric approach. Data were collected from the Scopus database using relevant keyword combinations, yielding 1,685 articles. Analysis was conducted using VOSviewer to examine publication trends, author collaboration networks, and keyword co-occurrence patterns. The findings reveal that AHP in risk assessment has experienced significant growth and exhibits a high degree of international collaboration. The most frequently occurring keywords include "AHP," "risk assessment," and "fuzzy AHP," indicating a paradigm shift towards uncertainty-based and hybrid methodological approaches. This study maps the evolution of research themes and identifies future research directions, particularly concerning the integration of AHP with advanced analytical methods and sustainability issues. The bibliometric patterns identified here complement an expanding body of literature linking decision-science methods with financial management and organisational governance.
Co-Authors Adelia, Ajeng Adyutasara, Daiva Aini, Rohana Akbar Anas Mangkona Aliviarisa Putri Surya Alizha Putri Endriani Alya Ghaitsa Anwar Alya Salsabilla Putri Ananda Amalia Munaz Ananda Lydia Putri Salwa Andi Afifah Andi Ahmad Aji Ripaldi Annisa Putri Ardani Ardani Ardhelia Rayshinta Ratudyana Ariswati, Lusiana Desy Arjuna Fauzan Ahmad Arya Mada Nata Kusuma Assyfha Nisrina Rahma Assyifa, Adzra Rania Asyifa, Adzra Rania Aulia Dwi Aminarti Aureline Agny Masiku Azaria Alifah Chiaradeuis Azizah Auliyawati Brian Emmanuel YB. Kolompoy Bryan Jefry Rumengan Calyqa Indie Khumeyra Liszt Chandika Mahendra Widaryo Chandika Mahendra Widaryo Chandika Mahendra Widaryo Chindy Luisa Charlita Permata Jaya Desvita Putri Maharani Devika Arfaliza Dhabyan Khalid Rafasya Dicko Syahputra Diky Diky Disma Sang Wisangghabumi Dita Alya Sulistiara Editya, Lexi Okniel Edyanto, Christian Elga Arjuna Ellen D. Oktanti Irianto Ellen D. Oktanti Irianto Ellen Oktanti Irianto Ellya Gust Priani Erina Permata Dewanti Fadilla Elviannur Dwi Jaya Faiz Abdullah Faradillah Febriyanti Faras Putri Sabina Fasya Laras Pramisya Feryanto Feryanto Fitri Hasanah Ghina Zahira Syahda Gusti Kayla Fadilah Hafsyari Halomoan Sinaga, Tunggul Hanifan Ega Pratama Haslan Hendi Hendi Henrika, Margareth Hikma, Dita Nurul Indri Kalila Hardayani Inggit Istani Putri Irianto, Ellen D Oktanti Irianto, Ellen D. Oktanti Jawan, Grace Oktavia Jelita Jelita Jovandher Abraham Limbong Kaisar Khoirul Alwan Kalfizer Tappang Kennya Nur Syahada Khairunnisa Zahra Nabilah Khusnul Hafifah Farwati Kobi, Kezia Julietha Korip, Zahwa Muslimatul Lusiana Desy Ariswati Lusiana Desy Ariswati Lusiana Desy Ariswati Maftuah Agus Dwiyanti Mandese, Raka Restu Mantika, Syifa Unada Margareth Henrika Margareth Henrika Margareth Henrika Maulana, Muhammad Dimas Mela Anjani Misra Mohammad Arsyad Muhammad Aditya Saputra Muhammad Aldi Gunawan Muhammad Eko Wahyudi Muhammad Gibran Rustu Muhammad Haikal Rahman Muhammad Haiqal Aulia Risian Muhammad Rizqullah Muhammad Wizdan Muthahari Muhammad Zainuri Muhammad Zidan Nabila Anatasya Najwaa, Nur Ainun Nanda Mawadah Nashyifa Kayla Nur Aisyah Nur Syamsiyah Fauziyah Nur, Aini Rohana Nurul Shafira Pangestu, Gary Paskah Aprindah Sitompul Putri Nandira Putri, Alya Salsabilla Queen Firakirana Ramadhani Rafli Aly Yahya Rahmah, Hilma Tsania Nur Raisyah Adindaffa Putri Ramadani, Dimaz Ramadhan, Gholib Murtadho Raven Naufal Azka Resiani Bungan Layuk Restu Amalia Retno Fitrian Nastiti Reynaldi Reynaldi Rico Erlangga Ridha Alya Nur Hidayah Rifatul Hasanah Rifky Fadlian Noor Risma, Nadiah Risna Lulu'ul Maknun Rohana Nur Aini Rohana Nur Aini Rusliansyah Rusliansyah Sabrina Perlita Salsabila, Raihana Sandy Afriyano Althaf Saputra, Steven Agung Jaya Satrio, Rakha Serly Lutvia Ikmala Shabrina Adhwa Khairunnisa Shabrina Nailul Farich Shabrina, Ananda Nur Simangunsong, Abraham Peeter Bongiovi Siti Salza Rahmadanita Nakhat Sitompul, Ester Ebuliance Stephanie Wijaya Sulis Sustyaningsih Syahfiah Syahfiah Syahrul Safi’Uddin Tofani, Muhammad Rizky Uno Usada, Saskia Verny Marceli Sisilia Saputri Via Zahwa Niagara Vira Aprilia Wibowo, Bagas Widaryo, Chandika Mahendra Wijaya, Stephanie Wiola Wasa Pebrina Herda Wirasmi Wardhani Yustianingrum, Adelia Zan Zabila