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:This study discusses the optimization of a company's financial performance through working capital management and capital structure policies. To increase profitability (ROA), companies require efficient cash conversion cycle…
ycle management and optimal funding supported by internal company characteristics. The research problem proposed is to determine how to achieve increased profitability in an automotive distributor company through the efficiency factors of Cash Conversion Cycle (CCC), Firm Size (Firm Size), Leverage (DER), and historical profitability factors (ROA_Lag). The sample of this study is the financial statements of PT New Ratna Motor (Nasmoco Group) in Semarang City for the 2021-2024 period, which were transformed into quarterly data (N=16). The results of data analysis indicate that this research model has a good level of feasibility (goodness of fit) with the ability to explain variations in profitability (Adjusted R Square) of 78.1% and successfully overcome autocorrelation interference. Simultaneously, there is a strong relationship between the independent variables and the company's profit movements. Partially, the Cash Conversion Cycle (CCC) variable is proven to have a negative and significant effect on profitability, while the Firm Size and Leverage variables have not shown a significant effect at the 95% confidence level.
Abstract:The convergence between sustainability and halal consumption practices has led to a surge of interest in identifying variables influencing consumer behavior towards purchasing eco-friendly and sustainable halal goods. This…
is paper examines the effects of Islamic ethics, environmental consciousness, and social norms on the purchase intention of eco-friendly and sustainable halal products, considering the moderating role of consumer trust. Four hundred and twelve participants among Muslims participated in the study, and their data were analyzed using partial least squares structural equation modeling. The proposed model had good explanatory power as it was able to explain 68.4% and 59.7% of the variances in green halal purchase intention (R² = 0.684) and consumer trust (R² = 0.597), respectively. Results of this study indicate that Islamic ethics (β = 0.31, p < 0.001), environmental consciousness (β = 0.27, p < 0.001), and social norms (β = 0.22, p < 0.01) positively influenced consumer trust. Moreover, consumer trust significantly and positively impacted green halal purchase intention (β = 0.45, p < 0.001). The mediation analyses reveal that consumer trust partly mediates the effect of Islamic ethical values, environment, and social norms on green halal purchase intention. Out of all the antecedents tested, Islamic ethical values have been found to be the most effective determinant of green halal purchase intention. It can thus be concluded that the purchase intention for green halal products increases significantly if the customers perceive these products as being consistent with Islamic moral standards, sustainable for the environment, and approved by society, especially where the issue of consumer trust is involved. This research has contributed significantly to the extant literature by showing how trust acts as an important bridge between the antecedents of green halal purchase intention and the actual intention to purchase.
Abstract:This narrative review explores whether high-potential workers (HiPo) within Indonesian organizations across various sectors consistently exhibit elevated levels of emotional intelligence (EI), and it assesses the relevance…
ce of the Competency Based Model proposed by Boyatzis in the identification and development of HiPos. The review compiles freely accessible scholarly articles from 2024 to 2025, with a focus on research from Indonesia and includes one primary benchmark study on high-potential individuals for comparison, as studies specific to Indonesian HiPo are scarce. Findings reveal that being classified as a HiPo does not necessarily correlate with having high EI. Research directly related to high potential employees indicates that cognitive-intrapersonal skills such as initiative, desire for learning, and the ability to think outside conventional limits are stronger indicators of high potential than emotional-interpersonal skills. Research from various Indonesian sectors, including manufacturing, energy, construction, and public services, suggests that while EI plays a significant role in enhancing employee productivity, work performance, job satisfaction, and effectiveness in management, its influence typically operates through mediating factors instead of serving as a direct predictor. Furthermore, talent management research in Indonesia shows that numerous organizations still depend on performance evaluations and fragmented methods instead of comprehensive competency frameworks. This review concludes that the Competency Based Model is relevant in Indonesian organizations across different sectors; however, it should be viewed as encompassing a range of competencies rather than a single attribute. While EI is valuable, it is not an essential or sufficient criterion for determining high-potential employees.
Abstract:This study aims to examine work experience, work environment, and work culture on employee performance, both directly and through work motivation as a mediating variable. This research is based on two main grand theories,…
, namely Maslow's Hierarchy of Needs and Self-Determination Theory. Quantitative approach with survey method, The research population is all employees of the production division of PT Ekamas Fortuna Malang which totals 332 people. Sampling was carried out using the proportionate stratified random sampling technique with a sample of 179 respondents. Data analysis was carried out using the Structural Equation Modeling method based on Partial Least Square (SEM-PLS) with the help of SmartPLS software. The results of the hypothesis testing showed that all ten hypotheses proposed in this study were proven to be statistically supported. Work experience, work environment, and work culture were each proven to have a positive and significant effect on employee work motivation, indicating that these three factors are relevant motivational antecedents in the context of the manufacturing industry and motivation has also been shown to mediate the relationship between these three variables. An important finding of this study is the confirmation of the dual role of work motivation, namely as a variable that directly drives employee performance as well as as a mediator that strengthens and channels the indirect influence of work experience, work environment, and work culture on performance.
Abstract:This study examines the Ar Rahman Human Being (ARHB) Model as an integrative framework of resource-based business resilience by incorporating akhlakul karimah as moral capital functioning as an internal governance mechanism.…
ism. The study addresses the limitation of the resource-based view (RBV), which tends to emphasize resource capacity without adequately considering the normative dimension guiding its utilization. A contingency model is proposed that positions internal moral quality as a conditioning factor for the effectiveness of strategic resources in enhancing business resilience. Using an explanatory quantitative approach with a cross-sectional design, data were collected from 250 micro and small enterprise (MSE) owners in Makassar City. Structural Equation Modeling based on Partial Least Squares (SEM-PLS) was employed to analyze the direct effects of expertise, education and training, physical capacity, and capital on business resilience, as well as the moderating role of akhlakul karimah in these relationships. The results indicate that expertise, education and training, physical capacity, and capital positively influence business resilience. Furthermore, akhlakul karimah strengthens the relationship between strategic resources and business resilience, suggesting that the effectiveness of transforming technical capacities into business resilience is contingent upon the entrepreneur’s internal moral quality. These findings extend resource-based business resilience discourse by integrating moral capital as an internal governance mechanism.
Abstract:This study aims to formulate the right business strategy for CV XYZ, an MSME in the frozen food industry, in facing operational challenges such as high employee turnover, dependence on out-of-town suppliers, and logistics…
s inefficiencies due to limited cold chain technology. This study uses a qualitative method with a case study approach. Data were collected through semi-structured interviews, internal company reports, literature reviews, and industry publications. The analysis was conducted through an external approach using PESTEL and Porter's Five Forces, as well as internal analysis through VRIO and Value Chain Analysis. The results of the analysis are summarized in a SWOT Analysis and continued with the formulation of a business strategy using Porter's Generic Strategies and TOWS Matrix. The proposed strategy is Cost Leadership with a focus on operational efficiency, investment in cold chain technology, and employee training to increase productivity. This strategy is expected to help CV XYZ increase competitiveness, expand the market, and support sustainable business growth in the frozen food industry.
Abstract:The primary objective of this research is to examine and assess the impact of work dicipline and organizational commitment on employee performance. In an endeavor to enhance individual and group employee performance, specific…
cific standards of responsibility have been instituted for each individual in the execution of their duties. Typically, employees exhibiting a high level of competence in their roles suggest that their success in the work environment has been optimized. Consequently, this study was conducted to elucidate the interrelations between work motivation, job satisfaction, organizational commitment, and employee performance within the context of the Regional Drinking Water Company of Makassar City (PDAM Makassar City).The research involved the collection of data from 107 employees of the Makassar City Regional Drinking Water Company to empirically test the proposed research model, utilizing WarpPLS 7.0 modeling software. The findings of the study reveal that there is a statistically significant influence of organizational commitment and work discipline, both individually and collectively, on job satisfaction and employee performance. Additionally, a discernible impact of job satisfaction on employee performance was identified, and an indirect influence of organizational commitment and work discipline variables on performance was observed through their impact on job satisfaction
Abstract:Sekretariat DPRD Provinsi Jambi masih menggunakan sistem manual dalam pengelolaan surat masuk dan surat keluar sehingga proses pencatatan, pencarian, dan penyusunan laporan kurang efisien. Penelitian ini bertujuan merancang…
ang Sistem Informasi Manajemen Surat Berbasis Web menggunakan metode pengembangan Waterfall. Perancangan sistem dilakukan menggunakan Unified Modeling Language (UML), sedangkan implementasi sistem menggunakan Framework Laravel. Hasil penelitian menunjukkan bahwa sistem yang dirancang mampu mendukung pengelolaan surat masuk dan keluar, pengarsipan dokumen, pencarian data, serta penyajian laporan secara lebih cepat, efektif, dan akurat.
The Secretariat of DPRD Jambi Province still uses a manual system for managing incoming and outgoing mail, resulting in inefficient recording, retrieval, and reporting processes. This study aims to design a web-based mail management information system using the Waterfall software development method. The system was designed using Unified Modeling Language (UML) and implemented using the Laravel Framework. System design employed Unified Modeling Language (UML), while implementation was carried out using the Laravel Framework. The results show that the proposed system supports mail management, document archiving, data retrieval, and report generation more quickly, effectively, and accurately.
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.