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Nomico
Published by PT Anagata Sembagi Education
ISSN : -     EISSN : 30466318     DOI : https://doi.org/10.62872/apwm7d39
Core Subject : Economy,
Economics, Econometrics & Finance
The journal publishes original articles on current issues and trends occurring internationally in accounting, financial accounting, public sector accounting, auditing, economics, economics education, development economics, economic statistics, monetary economics, international economics, microeconomics, macroeconomics, econometrics, public economics, economic sociology.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekomomi dan Ekonometrika
Articles 255 Documents
 22   23   24   25   26 
Human Capital Analytics and Employee Well-being: The Role of Artificial Intelligence in Improving Organizational Performance Prastiyo Diatmono
Nomico Vol. 3 No. 6 (2026): Nomico - July
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/51sqs863

Abstract

The rapid diffusion of artificial intelligence (AI) into human resource management has repositioned human capital analytics (HCA) as a strategic lever for employee well-being and organizational performance. This article synthesizes empirical and conceptual literature published between 2021 and 2026 to examine how AI-enabled HCA practices, covering predictive workforce analytics, AI-driven engagement monitoring, and intelligent decision-support systems, shape employee well-being and, in turn, organizational performance. Using a systematic literature review method following the PRISMA protocol, twenty-five peer-reviewed sources retrieved from Google Scholar-indexed databases were analyzed thematically. Findings indicate that AI-supported HCA improves workforce planning accuracy, reduces administrative workload, and enables personalized well-being interventions, although effectiveness remains contingent on transparent governance, ethical data use, and supportive leadership. The review identifies an underexplored mediating pathway in which psychological safety and perceived organizational support connect AI-driven HCA to well-being and performance outcomes, a gap inadequately addressed in models that treat AI adoption as a direct performance driver. The article proposes an integrative conceptual framework linking human capital analytics, AI capability, employee well-being, and organizational performance, offering theoretical contribution to human resource management scholarship and practical guidance for organizations deploying AI responsibly within people analytics functions.
Reframing Urban Industrialization in the Sustainability Transition: Sustainable Urban Infrastructure, Brownfield Remediation, and Collaborative Urban Governance Arie Wahyu Prananta; I Wayan Suyadnya; Indra Jaya Kusumawardana; Zainal Abidin
Nomico Vol. 3 No. 6 (2026): Nomico - July
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/k9530z32

Abstract

Urban industrialization is increasingly governed through sustainability-transition agendas, yet research remains divided between sustainable infrastructure, brownfield remediation, and collaborative governance literatures. This article addresses a specific gap: prior studies often treat infrastructure upgrading and land remediation as direct drivers of industrial outcomes, while the governance mechanism that converts physical and ecological interventions into coordinated industrial transformation remains under-specified. The study develops a four-construct SEM framework in which Sustainable Urban Infrastructure and Brownfield Remediation are theorized as exogenous constructs, Collaborative Urban Governance is specified as the mediator, and Urban Industrialization is the outcome. Using the available 455-case Excel dataset, the empirical component estimates a data-constrained proxy model with Industrialization Intensity (IND), Digital-Infrastructure Capability (DIC), and Socio-Economic Resilience (SER). CFA results show strong measurement quality, with loadings from 0.778 to 0.849 for IND, 0.804 to 0.835 for DIC, and 0.800 to 0.843 for SER; CR ranges from 0.901 to 0.914 and AVE from 0.646 to 0.681. The structural model fits well (chi-square/df = 2.108; CFI = 0.961; TLI = 0.951; RMSEA = 0.049; SRMR = 0.038). IND significantly predicts DIC (beta = 0.537), DIC predicts SER (beta = 0.424), and the indirect effect is significant (0.228; 95% CI [0.178, 0.282]). The article contributes a governance-mediated urban-industrial model and a transparent empirical reporting architecture for sustainability-transition research.
Eco-Consumerism in the Green Economy Era: A Systematic Literature Review of Drivers, Barriers, and Emerging Patterns Lina Krisnawati
Nomico Vol. 3 No. 6 (2026): Nomico - July
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/nwwk8b69

Abstract

The transition toward a green economy has repositioned consumers as central agents of environmental change, giving rise to the phenomenon widely termed eco-consumerism. This conceptual, literature-based study examines how eco-consumerism manifests within the green economy era by synthesizing evidence from twenty-five peer-reviewed studies published between 2021 and 2026. Using a systematic literature review approach, the study traces the evolution of green purchase intention, eco-label trust, greenwashing skepticism, and digital-era green marketing strategies across diverse geographic and sectoral contexts. The findings indicate that eco-consumerism is shaped by an interaction of psychological antecedents such as environmental concern and perceived consumer effectiveness, social antecedents such as subjective norms and cultural orientation, and structural antecedents such as eco-label credibility and digital platform transparency. A persistent attitude-behavior gap remains evident despite rising environmental awareness, driven by price sensitivity, greenwashing fatigue, and inconsistent labeling standards. The novelty of this study lies in integrating three previously fragmented streams of literature, namely behavioral, marketing, and circular economy perspectives, into a unified framework that explains eco-consumerism under conditions of green economic transformation. Practical implications suggest that businesses and policymakers must move beyond promotional green claims toward verifiable and standardized sustainability communication to convert environmental concern into consistent green purchasing behavior. The article contributes a synthesized conceptual model intended to guide future empirical testing of eco-consumerism drivers in emerging green economies.
Digital Trust Management: Strategies for Building Organizational Trust in the Age of Artificial Intelligence Yunior Pasagi; Prastiyo Diatmono
Nomico Vol. 3 No. 5 (2026): Nomico-June
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/h8npjn06

Abstract

Digital trust is a strategic foundation for organizations adopting artificial intelligence (AI) in decision-making, public services, and stakeholder interactions. The increasing use of AI raises concerns regarding algorithm transparency, accountability, data privacy, and the risk of bias, thus eroding organizational trust in AI systems and external trust in organizations if not systematically managed. This article aims to analyze digital trust management strategies for building organizational trust in the AI era through a systematic literature review based on the PRISMA framework. Searches were conducted in Scopus, Web of Science, and Google Scholar databases with additional independent searches, resulting in 33 articles meeting the inclusion criteria out of a total of 148 identified articles. The study results indicate that organizational trust in AI is shaped by five main pillars: algorithmic transparency and explainable AI, governance and regulatory compliance, technical competence and system reliability, the human dimension and employee psychological contracts, and digital trust infrastructure such as zero trust architecture and IoT reputation. This study offers a novel Digital Trust Management (DTM) framework that integrates technology, governance, and human dimensions across sectors, differing from previous studies that tended to be partial and sectoral. These findings offer practical implications for organizations in designing sustainable AI adoption strategies that are trusted by all stakeholders..
Structural Gaps in Regional Infrastructure Financing: an Analysis of Horizontal Coordination Barriers and an Alternative Framework of Vertical Aggregation Sabilillah Ardie
Nomico Vol. 3 No. 6 (2026): Nomico - July
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/cgm68n32

Abstract

This study examines the feasibility of the Build-to-Lease (BTL) model within the framework of Indonesia's PPP for regional infrastructure financing, as well as formulates the principle of regulatory reform if the model cannot be implemented. With a descriptive-comparative quantitative approach using secondary data from the Ministry of Finance's DJPK, Bappenas PPP Book, SPAM Tuk Jambe project documents, and PPP regulations, as well as a survey of 35 PPP experts, the study found that the structural gap was very high with an Implementation Gap Index (IGI) of 86.6%, consisting of Fiscal Gap (86%), Scale Gap (93%), Coordination Gap (100%), and Regulatory Gap (67.5%). An analysis of the content of the Regulation of the Minister of National Development Planning/Head of Bappenas Number 9 of 2025 shows that the BTL model cannot be applied under the current PPP regulations. The Tuk Jambe case is reframed as an illustration of BTL's counterfactual, where horizontal coordination is not the root of the problem but a consequence of the conditions of ownership consolidation. Empirical Discounted Cash Flow (DCF) simulation proves that vertical aggregation through SOEs is an absolute prerequisite for financial feasibility. The research formulated three principles of directional reform: the expansion of the definition of Availability Payment (multi-party), the timing of asset transfers at the beginning, and the easing of sectoral requirements for SOEs as PJPK.

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