Abstract:This study aims to analyze the financial management strategies implemented by a local property and real estate company in facing conditions of Volatility, Uncertainty, Complexity, and Ambiguity (VUCA). The study employed…
a qualitative approach with a single-case study design at PT RBP in Tuban Regency. Data were obtained through in-depth interviews with nine informants at strategic, managerial, and operational levels, supported by observation and company documentation. Data were analyzed thematically with the assistance of NVivo, and validity was assessed through source and method triangulation. The findings show that PT RBP implements an adaptive-conservative financial management strategy oriented toward cash-flow stability while maintaining the ability to respond to changes in the business environment. The strategy is realized through the use of internal capital, cash-flow control, phased development, cost monitoring, customer screening, transaction flexibility, and diversification of banks and suppliers. The strategy is reinforced by cross-functional communication and an adaptive organizational culture. The findings indicate that the combination of financial prudence and adaptive capability constitutes an important mechanism for maintaining project continuity, financial stability, and operational resilience amid VUCA pressures.
Abstract:This study systematically reviews the development of Total Quality Management (TQM) practices in relation to Green Quality Intelligence Capabilities (GQIC), Circular Process Innovation (CPI), and Sustainable Operational…
Performance (SOP). Responding to the need for a clearer review method and a more focused novelty, this article applies the PRISMA 2020-based Systematic Literature Review approach. Articles were identified from the Scopus database using keyword combinations related to TQM, quality management practices, green capability, green innovation, circular economy, circular process innovation, Industry 4.0, Quality 4.0, and sustainability performance. After identification, screening, eligibility assessment, and quality appraisal, 27 articles published between 2016 and 2026 were included in the final synthesis. The findings show that TQM literature has shifted from traditional quality control and customer satisfaction toward digital, green, and sustainability-oriented quality management. Soft TQM dimensions, such as leadership, employee involvement, training, and quality culture, and hard TQM dimensions, such as process management, quality tools, continuous improvement, and data-based decision making, remain dominant. However, prior studies still frequently use general mediators, including knowledge management, organizational culture, innovation capability, and competitive advantage. This review proposes CPI as a more specific mediation mechanism that translates TQM and GQIC into sustainable operational outcomes through waste reduction, resource efficiency, material reuse, energy efficiency, and circular process redesign. The study contributes by offering an integrated conceptual model and propositions for future empirical research on quality management, green intelligence, circular innovation, and sustainable operations.
Abstract:This study aims to examine and analyze the effects of financial capability, intellectual capital, and digital payment on the performance of microenterprises in Surabaya City. The study employed a quantitative approach using…
ing primary data collected through questionnaires distributed to microenterprise owners operating in the Culinary Tourism Centers (Sentra Wisata Kuliner) of Surabaya. The study population consisted of 1,154 microenterprise owners. Based on the Yamane formula, the minimum required sample size was 174 respondents; however 182 valid respondents were successfully obtained through a cluster random sampling technique and included in the analysis. Data were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method with the assistance of SmartPLS version 4 software. The results indicate that financial capability, intellectual capital, and digital payment have positive and significant effects on microenterprise performance in Surabaya. These findings suggest that the ability of business owners to manage financial resources, leverage intellectual resources, and utilize digital payment systems plays a crucial role in improving business performance. Enhanced financial capability enables entrepreneurs to make more effective financial decisions, while the utilization of intellectual capital supports more efficient business management. Furthermore, the use of digital payment systems provides greater convenience and efficiency in business transactions.
Abstract:Digital transformation has become a strategic priority for organizations seeking to enhance competitiveness and achieve sustainable performance in dynamic business environments. This study examines the effect of digital…
leadership on sustainable performance through the mediating role of employee agility within the context of human capital development. A quantitative explanatory approach was employed using survey data collected from employees involved in digital transformation initiatives. Data were gathered through a structured questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess the direct and indirect relationships among the proposed constructs. The findings indicate that digital leadership significantly enhances employee agility by fostering adaptability, continuous learning, and responsiveness to technological change. Employee agility was found to have a strong positive effect on sustainable performance, suggesting that agile employees contribute substantially to organizational resilience, innovation capability, and long-term effectiveness. Furthermore, employee agility partially mediates the relationship between digital leadership and sustainable performance, demonstrating that the influence of leadership on sustainability outcomes operates largely through workforce adaptability. These results highlight the critical role of human capital development in digital transformation and provide empirical evidence that sustainable organizational performance can be achieved when digital leadership is effectively translated into agile employee behavior. The study contributes to the growing literature on digital transformation and human resource management by offering an integrated framework that links leadership, employee capabilities, and sustainability-oriented organizational outcomes.
Abstract:Food security in the low-carbon transition is increasingly shaped by industrial decarbonization, environmental restoration, and circular supply-chain coordination, yet these domains are often modeled as separate sustainability…
bility agendas. This study addresses the gap by developing a governance-centered structural equation model that links sustainable industrialization, sustainable remediation, circular supply chain governance, and food-security outcomes. Using the available 455-response dataset, the empirical test operationalizes industrialization intensity (IND) as a proxy for sustainable industrialization, digital-institutional capability (DIC) as a proxy for circular governance capability, and social-economic resilience (SER) as a proxy for food-system security. Confirmatory factor analysis supports the measurement model: standardized loadings range from .778 to .849 for IND, .804 to .835 for DIC, and .800 to .843 for SER; CR values range from .901 to .914; AVE ranges from .646 to .681; and model fit is acceptable (chi-square/df = 2.108, CFI = .961, TLI = .951, RMSEA = .049, SRMR = .038). The SEM results show that IND significantly predicts DIC (beta = .537, p < .001), DIC predicts SER (beta = .424, p < .001), and IND retains a direct effect on SER (beta = .337, p < .001). The indirect effect is significant (beta = .228, 95% CI [.178, .282]). The article contributes a cautious, data-grounded framework for analyzing food security as a governance-mediated outcome of low-carbon industrial transition.
Abstract:Micro, Small, and Medium Enterprises (MSMEs) have a very strategic role in the global economy as the backbone of the economy that contributes significantly to economic growth, improving the quality of human capital is a…
key factor in encouraging productivity and economic growth, including in the MSME sector. This research aims to identify, evaluate, and systematically synthesize empirical and conceptual findings related to the role of human capital in increasing the productivity and growth of MSMEs. This study examines the role of human capital in increasing productivity and growth for MSMEs using the Systematic Literature Review (SLR) approach. A total of 30 indexed and peer-reviewed scientific articles published in the period 2020 to 2026 were systematically analyzed by following the PRISMA guidelines. This study focuses on four main human capital instruments, namely Resource Based View, Dynamic Capability, and Value Co-Creation as fundamental elements in increasing productivity and growth for MSMEs. The results of the synthesis show that most of the studies identified a positive relationship around 80% of the studies analyzed identified a positive relationship between the application of human capital in increasing productivity and growth of MSMEs, both directly and through the role of mediation and moderation variables. However, not all studies show consistent results. The other 20% of articles showed non-positive results, which included insignificant, conditional, mixed, or negative findings
Abstract:The current study addresses the impact of entrepreneurial orientation, innovation capability, market orientation, and networking capability on business sustainability in small and medium enterprises (SMEs). The contribution…
ion of SMEs to economic development is important; however, sustainability in these entities can be threatened by resource scarcity and rapidly changing environments in markets. The current study adopts a quantitative approach that entails data collection using a structured questionnaire targeting owners and managers in SMEs. The collected data were analyzed through statistical methods to analyze the relationship among study variables. The results of this study indicate that entrepreneurial orientation, innovation capability, market orientation, and networking capability are positive and influential factors in improving business sustainability in SMEs. Market orientation and innovation capability have higher influences on sustainability in SMEs than other factors since customer-centric approaches and innovation have playing crucial roles in ensuring sustainability in business operations for these entities. This study is an important addition to existing theories since this research adopts an integrated approach within strategic capabilities for improved adaptability and sustainability of SMEs in competitive markets
Abstract:This study aims to describe the following variables: (1) digital technology adoption, (2) business resilience, (3) women’s empowerment, and (4) financial literacy, and to analyze the effect of digital technology adoption…
on on business resilience mediated by women’s empowerment and moderated by financial literacy. The research employed a quantitative explanatory design with structural model analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected through an online questionnaire (Google Form). The population consisted of 1,556 women entrepreneurs who own Micro and Small Industry (MSI) units in the food subsector, with 359 respondents selected using proportionate allocation sampling and located in Tasikmalaya, Sukabumi, Bogor, and Bandung. The findings indicate that the level of digital technology adoption among women entrepreneurs is in the very high category, while business resilience, women’s empowerment, and financial literacy are in the high category with potential for further improvement. Digital technology adoption has a positive effect on business resilience and women’s empowerment, implying that higher levels of technology adoption are associated with stronger business resilience and greater women’s empowerment. Women’s empowerment also positively affects business resilience and mediates the relationship between digital technology adoption and business resilience. In addition, higher financial literacy strengthens the effect of digital technology adoption on business resilience, thus functioning as an enhancing moderator in this relationship. The results imply that strengthening business resilience among women entrepreneurs can be achieved by enhancing digital technology–based resources and strategies, integrated with women’s empowerment as a mediating mechanism and financial literacy as a moderating capability for the strategic use of digital technology. Practically, the findings underscore the importance of advanced training programs and an integrated digital ecosystem to reinforce digital technology adoption, women’s empowerment, and financial literacy, while simultaneously building a collaborative ecosystem and continuous interventions focused on sustainable business resilience.
Abstract:This study addresses the limitations of traditional Customer Relationship Management (CRM) systems by analyzing the adoption and impact of Artificial Intelligence (AI) integration (AI-Powered CRM). Informed by the Technology…
logy Acceptance Model (TAM) for employee perception and the Resource-Based View (RBV) for strategic capability, the primary objective is to evaluate how AI-driven automation enhances customer service processes and, subsequently, impacts marketing efficiency. The research employs an exploratory qualitative case study design, utilizing in-depth interviews, document analysis, and system observation on a single organization to gather rich, contextual data. The results demonstrate that AI integration significantly accelerated service, with chatbots handling 65–70% of routine queries and drastically reducing response times. Operationally, these improvements fostered high employee acceptance (TAM). Strategically, the AI-Powered CRM generated refined predictive analytics, resulting in a 12–18% improvement in campaign conversion rates and efficient resource allocation, confirming that AI creates a valuable and difficult-to-imitate strategic capability (RBV). The study concludes that AI-Powered CRM is a critical enabler for both operational efficiency and long-term strategic competitiveness in digital markets.
Abstract:Penggunaan dompet digital yang terus meningkat menghasilkan banyak ulasan pengguna yang dapat dimanfaatkan untuk mengevaluasi kualitas layanan. Penelitian ini bertujuan meningkatkan akurasi klasifikasi sentimen pengguna…
dompet digital menggunakan metode Stacking Ensemble Machine Learning yang mengombinasikan Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), dan AdaBoost dengan Logistic Regression sebagai meta-learner. Data ulasan diproses melalui tahapan text preprocessing meliputi case folding, cleaning, tokenizing, stopword removal, stemming, dan pembobotan fitur menggunakan TF-IDF. Penyeimbangan data dilakukan dengan SMOTE, sedangkan evaluasi model menggunakan 5-Fold Cross-Validation. Hasil penelitian menunjukkan bahwa model Stacking Ensemble memperoleh akurasi rata-rata 80,55%, lebih tinggi dibandingkan algoritma dasar. Evaluasi menggunakan Confusion Matrix, Classification Report, dan ROC Curve juga menunjukkan peningkatan nilai precision, recall, F1-score, dan kemampuan diskriminasi model. Hasil ini menunjukkan bahwa pendekatan Stacking Ensemble Machine Learning efektif untuk meningkatkan akurasi klasifikasi sentimen pengguna dompet digital serta mendukung evaluasi kualitas layanan berbasis opini pengguna.
The rapid growth of digital wallet usage has generated a large volume of user reviews that can be utilized to evaluate service quality. This study aims to improve the accuracy of digital wallet user sentiment classification using a Stacking Ensemble Machine Learning approach that combines Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), and AdaBoost with Logistic Regression as the meta-learner. User reviews were processed through text preprocessing stages, including case folding, text cleaning, tokenization, stopword removal, stemming, and TF-IDF feature weighting. Synthetic Minority Over-sampling Technique (SMOTE) was employed to address class imbalance, while model performance was evaluated using 5-Fold Cross-Validation. The experimental results show that the proposed Stacking Ensemble model achieved an average accuracy of 80.55%, outperforming the individual base learners. Furthermore, evaluations based on the Confusion Matrix, Classification Report, and Receiver Operating Characteristic (ROC) Curve demonstrated improvements in precision, recall, F1-score, and the model's discriminative capability. These findings indicate that the proposed Stacking Ensemble Machine Learning approach is effective in improving the accuracy of digital wallet user sentiment classification and can serve as a reliable tool for supporting service quality evaluation based on user opinions.