Advances in Human Resource Management Research

Unpacking the Impact of Family Communication Patterns on Gen Z Professional Performance, Mediated by Work Ethic and Moderated by Organizational Culture

2026-05-09T20:27:43+07:00

Purpose: This study investigates the relationships between family communication patterns, Organizational culture, work ethic, and professional performance within the frameworks of social cognitive theory and theory of planned behavior.

Research Method: Employing a quantitative cross-sectional approach, with 311 respondents. The research analyzes data from participants to test six hypotheses by using SEM-PLS and SMART PLS software.

Results and Discussion: The results prove that it significantly enhances both work ethic and professional performance, with work ethic as a key mediator. These findings extend prior literature by focusing on subjective performance perceptions, highlighting cultural influences, particularly in collectivist contexts, and challenging traditional models of work-family facilitation. The study's novelty lies in integrating those theories to explain these dynamics, offering fresh insights into how personal and environmental factors shape workplace outcomes.

Implications: The results suggest integrating family support and work ethic development into organizational policies to boost employee performance, alongside conflict resolution strategies to manage dual commitments.

Originality: The originality of this research lies in the integration of three domains that have previously been studied largely separately, namely Family Communication Patterns (Koerner & Fitzpatrick, 2002; Schrodt et al., 2008), Work Ethic (Miller & Smith, 2019; Weber & Seron, 2019), and Employee Performance (Borman & Motowidlo, 1997) into a single model mediated by organizational culture among Generation Z employees in Indonesia.

Comparative Analysis of Machine Learning Models for Emotion Prediction in Reviews of Large Language Model-Powered Applications

2026-08-04T21:49:22+07:00

Purpose: This study compares the performance of conventional machine learning algorithms for multiclass emotion prediction in reviews of Large Language Model (LLM)-powered applications using a unified TF-IDF representation.

Research Method: User reviews were collected from the Google Play Store for eight popular LLM applications through web scraping. After text preprocessing, reviews were labeled into five emotion categories (Happy, Sadness, Anger, Fear, and Surprise). Ten machine learning algorithms, namely Perceptron, KNN, Naïve Bayes, Logistic Regression, MLP, SVM (Linear and RBF), Random Forest, XGBoost, and LightGBM, were evaluated using Accuracy, Balanced Accuracy, Precision, F1-score, MCC, and ROC-AUC.

Result and Discussion: XGBoost achieved the best performance, with 87.30% Accuracy, 77.84% Balanced Accuracy, 64.28% F1-score, and 0.5626 MCC. ROC-AUC values between 0.91 and 0.96 demonstrate excellent discrimination across all emotion classes. The superior performance of XGBoost indicates that gradient boosting effectively captures informative patterns from sparse TF-IDF features.

Implication: The findings provide practical guidance for selecting efficient machine learning models for emotion analysis of LLM application reviews and support AI application improvement through user emotion understanding.

Originality: This study presents a comprehensive benchmark of ten conventional machine learning algorithms using a large-scale multi-application LLM review dataset and a unified five-emotion classification framework.

Clinical Credibility in Nurse Influencer Marketing: A Scopus-Based Scoping Review and Evidence-Gap Analysis

2026-08-01T04:29:17+07:00

Purpose: This study maps the development of Scopus-indexed nurse influencer research and examines whether the literature has progressed from professional visibility toward consumer trust, marketing effectiveness, and preventive health service conversion.

Research Method: A Scopus-based scoping review was conducted following the PRISMA-ScR guidelines. English-language nursing articles published between 2016 and 2026 were retrieved, screened, and synthesized using a marketing-funnel framework encompassing credibility, visibility, engagement, trust, intention, service adoption, and retention. Methodological quality was assessed using Joanna Briggs Institute (JBI) appraisal tools.

Results and Discussion: Four studies met the inclusion criteria. The evidence primarily addresses conceptual characteristics, professional identity, digital advocacy, privacy, misinformation, and ethical issues. Although clinical credibility is consistently identified as a strategic communication asset, no study empirically measures validated consumer trust, appointment booking, willingness to pay, preventive service utilization, retention, referral behavior, or financial outcomes. The literature therefore remains largely conceptual and communication-oriented rather than marketing-oriented.

Implications: Future research should integrate nursing, marketing, and health service perspectives by employing validated marketing constructs and behavioral outcomes to evaluate the effectiveness of nurse influencers in promoting preventive healthcare.

Originality: This is the first Scopus-based scoping review to evaluate nurse influencer research through a marketing-funnel perspective, revealing critical evidence gaps linking clinical credibility with consumer trust and measurable healthcare service conversion.

Keywords: nurse influencers; influencer marketing; clinical credibility; consumer trust; preventive health services; scoping review

The Construction of Public Perception of Outstanding Schools: A Qualitative Study of the Difference between Academic Performance and Institutional Attractiveness

2026-07-16T07:51:11+07:00

Purpose: This study aims to examine how socially constructed community perceptions shape institutional attractiveness and explain the mismatch between objective school quality and parental school choice.

Research Method: A qualitative single-case study was conducted at SDN Sonoadi, an Indonesian public elementary school that consistently demonstrated high academic and non-academic achievement but experienced declining student enrollment during 2021–2026. Data were collected through semi-structured interviews, observations, and document analysis involving school leaders, teachers, school committee members, parents, alumni, and community leaders. Data were analyzed using the interactive model of Miles, Huberman, and Saldaña, guided by the processes of externalization, objectification, and internalization.

Results and Discussion: The findings reveal that institutional attractiveness is socially constructed through shared experiences, daily interactions, cultural values, school location, religious orientation, environmental conditions, and collectively formed social images. These factors frequently outweigh objective indicators of school quality, explaining the discrepancy between educational achievement and public preference. The findings demonstrate how the processes of externalization, objectification, and internalization collectively shape parents’ school selection decisions.

Implications: The findings suggest that strengthening institutional attractiveness requires not only improving academic performance but also enhancing strategic communication, community engagement, and reputation management.

Originality: This study extends Berger and Luckmann’s Social Construction Theory by demonstrating how institutional attractiveness is socially constructed through collective meaning-making, offering a novel theoretical explanation for the paradox between school achievement and declining student enrollment.

Psychological Safety, Perceived Organizational Support, and Sustainable Business Development through Innovative Work Behavior in Culinary SMEs

2026-07-31T10:15:06+07:00

Purpose: This study examines how psychological safety and perceived organizational support influence the economic and operational continuity of culinary SMEs through innovative work behavior.

Research Method: This study employed a quantitative explanatory design. Data were collected from 326 employees of culinary SMEs in major cities across Java and Bali using a structured five-point Likert-scale questionnaire. SEM-PLS was used to assess the measurement model, structural model, and specific indirect effects.

Results and Discussion: Perceived organizational support significantly affected innovative work behavior and sustainable business development, while innovative work behavior significantly affected sustainable business development. Psychological safety did not significantly affect either outcome. Innovative work behavior mediated the effect of perceived organizational support, but not the effect of psychological safety, on sustainable business development.

Implications: Culinary SME owners should combine an open communication climate with tangible support, employee autonomy, work resources, recognition, and opportunities to implement ideas.

Originality: The study identifies a boundary condition of psychological safety in owner-managed culinary SMEs and shows that perceived organizational support is a more actionable organizational resource for converting employee innovation into long-term economic and operational continuity.

Local Wisdom-Based Human Resource Competence and Employee Performance: Service Quality Mediation and Digital Literacy Moderation in Alor Tourism

2026-06-17T04:21:35+07:00

Purpose: This study examines whether local wisdom-based human resource (HR) competence enhances employee performance in tourism services in Alor Regency, while investigating the mediating role of service quality and the moderating role of digital literacy.

Research Method: Data were collected through a structured survey of 129 employees working in tourism service businesses in Alor Regency. The hypothesized relationships were tested using path analysis with Partial Least Squares Structural Equation Modeling (PLS-SEM) through SmartPLS 4.0.

Results and Discussion: The findings indicate that local wisdom-based HR competence has a positive and significant effect on employee performance. Service quality significantly mediates this relationship, suggesting that culturally grounded competencies translate into superior employee performance partly through enhanced service delivery. Digital literacy significantly moderates both the relationship between local wisdom-based HR competence and employee performance and the relationship between competence and service quality, indicating that digital capabilities amplify the value of culturally embedded competencies.

Implications: Tourism organizations should integrate local cultural values with digital capability development to strengthen employee performance and service quality.

Originality: This study integrates indigenous/local wisdom, service quality, and digital literacy into a unified HR-performance framework, providing empirical evidence from the under-researched tourism context of Alor, Indonesia.

Analysis Capability Dynamics of E-Commerce MSMEs in Adopting Generative AI Technology for Content Strategy Efficiency Creative

2026-07-16T07:53:03+07:00

Purpose: This study aims to examine how dynamic capabilities—detecting, utilizing, and transforming—mediate the adoption of Generative Artificial Intelligence (Generative AI) to optimize content marketing strategies among culinary Micro, Small, and Medium Enterprises (MSMEs) in Jatinangor.

Research Method: A qualitative descriptive approach with a multiple case study design was employed to explore how culinary MSMEs integrate Generative AI into content marketing while addressing digital and resource constraints.

Results and Discussion: The findings show that detecting capability develops organically through a bottom-up process, with creative staff acting as information gatekeepers. This capability is reflected in tactical budgeting for premium AI accounts and independent experimentation. Transforming capability emerges by restructuring conventional workflows into a human–AI hybrid model, in which AI generates ideas and drafts, while creative staff perform cultural and local curation. This integration reduces content production time by 50%–60% without compromising brand authenticity or local identity.

Implications: Generative AI serves as a capability enhancer, increasing creative productivity and supporting digital creativity among resource-constrained MSMEs.

Originality: This study contributes by explaining Generative AI adoption through a dynamic capabilities perspective and demonstrating how human–AI collaboration enables productive yet culturally authentic content marketing at the micro-business level.

Omnichannel Strategy on Consumer Loyalty: The Mediating Role of Customer Satisfaction in the Beauty and Wellness Industry

2026-07-18T06:17:07+07:00

Purpose: This study examines the effect of omnichannel strategy on consumer loyalty, both directly and indirectly through customer satisfaction as a mediating variable, in the beauty and wellness industry.

Research Method: This study employs a quantitative approach using a survey. Data were collected through questionnaires distributed to consumers who had transacted through at least two different shopping channels of the same beauty and wellness brand. The data were analyzed using Structural Equation Modeling with Partial Least Squares (PLS-SEM).

Results and Discussion: The findings indicate that omnichannel strategy has a positive and significant effect on both customer satisfaction and consumer loyalty. Customer satisfaction also has a positive and significant effect on consumer loyalty and significantly mediates the relationship between omnichannel strategy and consumer loyalty. These findings suggest that effective integration across shopping channels creates a more seamless customer experience, enhancing satisfaction and, in turn, strengthening consumer loyalty.

Implications: The findings suggest that beauty and wellness businesses should prioritize channel integration by improving the synchronization of promotions, product and service information, and customer interactions across online and offline channels. Such integration can enhance customer satisfaction and foster longer-term consumer loyalty.

Originality: This study contributes to the omnichannel literature by demonstrating the mediating role of customer satisfaction in the relationship between omnichannel strategy and consumer loyalty in the beauty and wellness industry, providing evidence of how seamless channel integration translates into customer-based outcomes.

The Effect of Global Interest Rates on ASEAN Credit Disbursement: ARDL Analysis and Bounds Test

2026-08-20T14:36:07+07:00

Purpose: This study examines the short- and long-run effects of global interest rates on bank lending across ASEAN-5 countries and evaluates cross-country differences in credit responses to global financial shocks. It further assesses the Global Interest Rate (GIR) hypothesis and the concept of Regional Structured Financial Equilibrium within ASEAN financial systems.

Research Method: The study employs the Autoregressive Distributed Lag (ARDL) Bounds Testing approach to identify short- and long-run relationships between global interest rates, bank lending, and macroeconomic conditions. Country-level analysis is conducted across ASEAN-5 economies to capture heterogeneous responses within regional credit systems.

Results and Discussion: The findings indicate heterogeneous responses of banks to global interest-rate shocks across ASEAN-5 countries. While global interest-rate movements may constrain credit conditions in the short run, bank lending demonstrates more favorable long-run dynamics alongside expected economic growth. The results support the relevance of the GIR hypothesis and regional financial-equilibrium perspective.

Implications: Policymakers should consider country-specific credit responses when designing monetary policy, financial-stability policy, and regional coordination policies.

Originality: This study integrates global interest-rate transmission, ASEAN-5 credit heterogeneity, and Regional Structured Financial Equilibrium within a unified analytical framework.

Corporate Governance Mechanisms, Firm Size, and Financial Performance: Evidence from Indonesian Mining Companies

2026-08-07T20:33:48+07:00

Purpose: This study examines the effects of institutional ownership, independent commissioners, audit committees, and firm size on the financial performance of mining companies listed on the Indonesia Stock Exchange (IDX), with Return on Assets (ROA) used as the performance indicator.

Research Method: This study employed a quantitative explanatory design using audited annual report data from 30 IDX-listed mining companies during 2021–2023, generating 90 firm-year observations. The data were analyzed using multiple linear regression with SPSS after conducting classical assumption tests.

Results and Discussion: Institutional ownership, independent commissioners, audit committees, and firm size have positive and significant effects on ROA. Firm size has the strongest effect, indicating that larger firms are better positioned to achieve operational efficiency, economies of scale, and broader access to financing. The positive governance effects demonstrate that effective ownership monitoring, board independence, and audit oversight strengthen managerial accountability and asset utilization.

Implications: Companies should strengthen governance practices beyond formal compliance, while regulators should promote effective monitoring and accountability. Future studies should examine longer periods, other industries, additional performance measures, and governance quality indicators.

Originality: This study provides sector-specific evidence from Indonesia’s mining industry on the combined role of governance mechanisms and firm size in explaining asset profitability.

Evidence-Based Professional Behavior Optimization Model (EPBOM) Training Model for Employee Competence at Bank Indonesia Malang Representative Office

2026-08-01T04:47:37+07:00

Purpose: The purpose of this study is to examine how the Bank Indonesia Malang Representative Office has improved staff competency through the use of the Evidence-Based Professional Behavior Optimization Model (EPBOM) Training Model.

Research Method: Using purposive sampling and a qualitative approach, the study included 48 employees enrolled in the EPBOM training program. Throughout the training process, information was gathered through in-depth interviews, observations, documentation, and thoughtful assessments of staff members' professional conduct. Triangulation techniques were used for data reduction, data display, and conclusion drawing.

Results and Discussion: The results show that incorporating evidence-based professional conduct, technical competence enhancement, adaptive communication, a collaborative work culture, and transformational leadership support enhanced employee competency through the EPBOM training model. Additionally, work discipline, problem-solving skills, accountability, service quality, and professional work engagement all improved as a result of the training.

Implications: This study emphasizes the importance of evidence-based behavioral training models for strengthening organizational human resource development policies, particularly in strategic public institutions.

Originality: The development of an evidence-based professional behavior optimization model, combined with competence-building and professional performance enhancement, within the framework of Bank Indonesia institutional training makes this study unique.