Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital (JEKOMBITAL)
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital (JEKOMBITAL) is a new, open-access journal with the mission of disseminating original research papers, reviews, and reports on economics, management, and the digitalization of business, how these topics affect business models, and what this implies for the future of work. The journal will especially welcome papers from a variety of disciplines and practice areas, including business, economics, marketing, sociology, accounting and perhaps computer science and information technology management. The journal accepts theoretical, empirical, critical, comparative and case study research using qualitative and/or quantitative, or mixed methods that offer contributions to the following topics or Scopes: Digital ecosystems, Digital Platform, Digital labor platforms, Digital technology and innovation, Digital transformation, Digital strategy and leadership, Data-centric business models and data monetization, Big data-driven business models, Blockchain driven business models, Social network-driven business models (crowdsourcing, crowdfunding), Platform-based business models, Digital intelligent business models, IoT driven business models, Business model innovation, Business model ontology, Digital business models applications, Digital business model valuation, Digital business model change and dynamics, Digital green business model, Digital business model and share economy, Interoperable and collaborative digital business models, Holistic business models, Open digital business models, Digital business model design and development, Mobile business models, Digital business performance, Digital transformation and digital business strategy, Start-ups, lean concepts, and agile development, Digital innovation platforms, Digital entrepreneurship, Blockchain and financial technologies, Fostering a culture of transformation, Human resource qualifications in digital transformation, Drivers of digital transformation, Digital transformation and social impact, Sustainable value proposition, Digital service design, Impact of Industry 4.0 Technologies on business and ecosystem (which include cyber-physical systems (CPS), Internet of Things (IoT), Industrial Internet of Things (IIOT), Cloud Computing, Cognitive Computing, Machine-learning (ML), and Artificial Intelligence (AI).
Articles
350 Documents
Benchmarking Machine Learning Models for Corporate Bankruptcy Prediction using Financial Ratios
Mulyanto, Sigit;
Yonia, Dwika Lovitasari;
Arif, Muhammad;
Sutejo, Bambang
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 2 (2025): NOVEMBER
Publisher : Transpublika Publisher
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DOI: 10.55047/jekombital.v4i2.1071
Corporate bankruptcy prediction is a critical task in financial risk management, particularly under conditions of economic uncertainty and highly imbalanced datasets. This study presents a comprehensive benchmarking framework that evaluates multiple supervised learning models and a voting ensemble approach for corporate bankruptcy prediction. Using a publicly available dataset comprising 78,682 financial records from US-listed companies on NYSE and NASDAQ (1999-2018), we compare the performance of Random Forest, XGBoost, Gradient Boosting, Support Vector Machine, Decision Tree, and a Voting Classifier. Extensive preprocessing, including outlier removal, normalization, and feature selection, and cost-sensitive learning to mitigate severe class imbalance was conducted to ensure data quality. Model performance was assessed using multiple evaluation metrics such as accuracy, F1-score, and ROC AUC to account for class imbalance. Results demonstrate that the Voting Classifier, integrating Random Forest, XGBoost, and Gradient Boosting via hard voting, achieves superior overall performance with an accuracy of 93.6%, F1-score of 96.5%, and ROC AUC of 82.6%, outperforming individual models. The findings underscore the value of ensemble approaches in improving prediction robustness while addressing class imbalance challenges in financial distress forecasting. This study contributes a reproducible experimental design that can guide future research and practical implementation of learning models in corporate bankruptcy risk assessment.
Navigating Platform Dependence: Strategic Decision-Making Process Behind PT Local’s D2C Business Model Shift
Melinda, Sisca;
Hermawan, Pri
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 2 (2025): NOVEMBER
Publisher : Transpublika Publisher
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DOI: 10.55047/jekombital.v4i2.1076
PT Local faces challenges as its heavy reliance on marketplaces begins to limit the company's ability to manage profit margins, access customer data, and build long-term relationships with its own consumers. This situation creates a need to re-evaluate its growth strategy and consider a shift towards a Direct-to-Consumer (D2C) model as an effort to strengthen business autonomy and sustainability. This study aims to explore this transition process by examining the company's internal dynamics and customer responses to the change in sales channels. A qualitative approach was employed through interviews with the internal team, customer surveys, and financial data analysis, supported by the use of the SWOT, TOWS, Porter’s Five Forces, and Resource-Based View (RBV) frameworks to comprehensively understand the company's strategic position. The findings identify five key steps: maintaining marketplaces as an acquisition channel while migrating repeat customers to D2C platforms; enhancing the quality of the D2C experience through more intuitive interface design, faster payment processing, responsive customer service, and reliable delivery; leveraging customer data to build a cross-brand loyalty ecosystem; refining operational and financial system integration; and establishing a cross-functional committee to ensure consistent strategy execution. This study concludes that the transition to D2C is not intended to abandon marketplaces entirely, but rather to reduce dependency by strengthening customer relationships and improving long-term profit stability.
The Role of Social Media Influencers in Cosmetic Marketing: A Systematic Literature Review
Nurdianasari, Rista;
Maharani, Shabira;
Damarani, Zelika Nidya
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 2 (2025): NOVEMBER
Publisher : Transpublika Publisher
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DOI: 10.55047/jekombital.v4i2.1077
The rapid growth of social media has transformed the beauty and cosmetics industry, positioning social media influencers (SMIs) as critical intermediaries between brands and consumers. This study conducts a Systematic Literature Review (SLR) of 37 empirical articles published between 2015 and 2025 to synthesize how influencer credibility, authenticity, and parasocial relationships affect consumer behavior, brand perception, and purchase intention. The review follows PRISMA 2020 and bibliometric protocols using Publish or Perish, Scopus, CrossRef, and Covidence for systematic screening. The findings indicate four dominant research themes: (1) source credibility and influencer attributes, (2) authenticity and parasocial relationships, (3) consumer behavioral outcomes such as brand trust and loyalty, and (4) strategic influencer marketing practices. The results reveal that trustworthiness and authenticity consistently mediate the relationship between influencer credibility and purchase intention, while cultural and contextual factors moderate these effects. Moreover, micro- and nano-influencers are increasingly valued for their authenticity and engagement over macro-influencers with larger audiences. The review concludes that influencer marketing in the cosmetics sector has evolved from transactional promotion to relational advocacy, emphasizing ethical transparency, audience alignment, and sustainable consumer loyalty.
Factors Influencing Investment Decisions Among University Students: The Roles of Financial Literacy, Lifestyle, Income, and Financial Planning
Rambe, Siti Halimah;
Ardian, Noni;
Hernawaty, Hernawaty
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 2 (2025): NOVEMBER
Publisher : Transpublika Publisher
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DOI: 10.55047/jekombital.v4i2.1079
The rapid proliferation of financial technology and the effortless accessibility of digital investment platforms have significantly reshaped the investment landscape, allowing younger generations to begin investing with minimal capital while acquiring financial knowledge through diverse applications and virtual learning resources. Investment decision-making has become increasingly important among youth, who possess the temporal advantage to benefit from the compounding effect of returns, yet must simultaneously anticipate future challenges such as inflation, post-retirement uncertainty, and rising living costs. These circumstances highlight the necessity of building an investment portfolio early to achieve financial resilience and independence. This study aims to examine the influence of financial literacy, lifestyle, income level, and financial planning on students’ investment decisions. The research encompassed active part-time Fintech students in the Management Study Program (Friday–Saturday class), Faculty of Social Sciences, Universitas Pembangunan Panca Budi Medan, cohorts 2022–2023. Through the Slovin formula, 71 individuals were designated as the sample. A quantitative survey design was utilized, with questionnaire data processed via SPSS. Findings indicate that financial literacy exerts a salubrious and statistically weighty partial influence on investment decisions. Lifestyle also demonstrates a positively potent and preponderant effect. In contrast, income and financial planning show no substantive partial impact. Nonetheless, when assessed simultaneously, all four variables collectively manifest significant influence, reflected in F = 43.852, p < 0.001, R² = 0.727.
Employee Trust Betrayal and Fraud Dynamics in Indonesia’s Logistic Industry
Sari, Elok Nurindah;
Usman, Indrianawati
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 2 (2025): NOVEMBER
Publisher : Transpublika Publisher
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DOI: 10.55047/jekombital.v4i2.1080
Fraud remains a persistent challenge for organizations in Indonesia, particularly within the logistics industry, which is characterized by complex operations and a high reliance on trust among parties. This study aims to identify the dynamics of employee trust betrayal and patterns of fraudulent behavior in Indonesian organizations. Employing an exploratory case study approach, the research analyzed internal corporate documents, including investigation reports, disciplinary records, and compliance policies from logistics sectors. The findings reveal a rising trend in fraud cases from 2019 to 2024, strongly linked to post-pandemic economic pressures, weak internal controls, and moral rationalization by offenders. Demographic analysis indicates that most perpetrators are early-career male employees under special contract status, suggesting a correlation between employment instability and unethical conduct. Theoretically, this study contributes to the literature by integrating Agency Theory and Fraud Triangle Theory to explain the behavioral roots of organizational fraud. Practically, it underscores the importance of integrity-based governance, multilayered monitoring, and an ethical culture that prioritizes accountability and transparency.
The Effect of Brand Trust on Customer Loyalty (Case Study of MViCall Application Users in Jabodetabek)
Prameswari, Saskia;
Levyda, Levyda
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 2 (2025): NOVEMBER
Publisher : Transpublika Publisher
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DOI: 10.55047/jekombital.v4i2.1081
The progression of technological sophistication in application development has resulted in tools designed to optimize user accessibility and requirement fulfillment. Video tone applications, functioning as ring tone substitutes, represent one category of mobile applications attracting substantial user interest, as demonstrated by the MViCall feature developed by PT. Indonesia Satu Tujuh, a content provider enterprise. Empirical observation reveals a systematic decline in active MViCall users throughout 2022, with figures decreasing from 6,791 active subscribers in January to 2,831 in September. This attrition has been identified as resulting from customer perceptions of involuntary subscription enrollment accompanied by unauthorized credit deductions. The objective of this investigation is to elucidate brand trust and customer loyalty constructs associated with MViCall in the Greater Jakarta region, and to determine the causal relationship between brand trust and loyalty. Data acquisition for this study was conducted through questionnaire administration to 97 respondents constituting MViCall application customers in Jabodetabek, with data processing executed using Excel and IBM SPSS Version 26. Methodological approaches employed encompassed quantitative descriptive analysis, hypothesis testing, simple linear regression analysis, and coefficient of determination assessment. Empirical results indicate that the brand trust variable exhibits a mean value of 3.84, corresponding to a high categorical classification, while the loyalty variable similarly demonstrates high categorization with a mean value of 3.81, with statistical analysis confirming a significant effect of brand trust on loyalty. The research concludes with the recommendation that PT. Indonesia Satu Tujuh (MViCall) implement measures to enhance brand trust.
The Influence of Digitalization Readiness, Digital Mindset and Digital Culture on Digitalization Value in Multibusiness Companies
Barlian, Noer Aisyah;
Ratnasari, Vita
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 2 (2025): NOVEMBER
Publisher : Transpublika Publisher
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DOI: 10.55047/jekombital.v4i2.1082
In an era of increasingly massive technological disruption, companies are required to adapt and transform to remain relevant and competitive. Digital transformation has become a necessity, even for companies operating in regions with low technology adoption due to low human development indices. Therefore, multi-business companies undergoing digital transformation face various challenges, both internally and externally. This research aims to determine whether digitalization readiness, digital mindset, and digital culture influence digitalization value. The analysis method is quantitative, using a questionnaire that is subsequently analyzed with Structural Equation Modeling- Partial Least Square (SEM-PLS). The data used in this research is the result of a questionnaire survey aimed at employees in multi-business companies that use technology in their operational processes. The findings showed that Digitalization Readiness influences Digital Mindset and Digital Culture but does not have a direct effect on Digitalization Value. Digitalization Readiness has an effect on Digitalization Value through Digital Mindset, but not through Digital Culture. Ultimately, the key to maximizing the benefits of digitalization for multibusiness firms lies not only in being prepared and having a supportive culture, but also in cultivating a digital mindset. This mindset serves as the crucial path for creating value and should be the main focus for organizations aiming to fully embrace digital transformation.
Enhancing the Effectiveness of Industrial IoT Training through the Integration of Augmented Reality and the Quality Function Deployment (QFD) Approach
Irbah, Salsabila;
Fabroyir, Hadziq
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 3 (2026): FEBRUARI
Publisher : Transpublika Publisher
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DOI: 10.55047/jekombital.v4i3.1087
With the increasing complexity of Industrial Internet of Things (IIoT) systems and the growing demand for effective technical training, innovative learning media are needed to improve learners’ understanding of abstract and dynamic industrial processes. This paper outlines the creation and evaluation of an Augmented Reality (AR) learning approach for better Industrial Internet of Things (IIoT) training delivery. The AR-based medium was developed to address issues of usability associated with the traditional Demo Box experience, including reduced visualization and interaction capacity, and heavy reliance on instructor modeling and explanations. A quantitative survey completed by 110 respondents (44 Demo Box learners and 66 AR media learners) explored the learners' perceptions in four domains: usability, satisfaction, functionality, and learning effectiveness. The results indicate a statistically significant difference after using AR media, in ease of use (4.17 → 5.45) and satisfaction (4.41 → 5.32). The AR process is also capable of collaborating with the IIoT devices using the MQTT protocol, allowing learners to see real-time data being sent and received from the sensors and actuators. In summary, AR-based learning media enhanced learner engagement, reduced cognitive load, and improved conceptual understanding of IIoT processes and acted as an additional educational tool to the Demo Box and discussed how AR media supports IIoT education that leverages immersive, data-driven learning environments.
The Influence of Transformational Leadership and Leader-Member Exchange (LMX) on the Performance of the Indonesian National Police at the Bengkulu Regional Police
Laoli, Elvianus;
Wijaya, Oscarius Yudhi Ari
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 3 (2026): FEBRUARI
Publisher : Transpublika Publisher
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DOI: 10.55047/jekombital.v4i3.1093
The performance of the Indonesian National Police still faces challenges in the form of declining public trust, leadership issues, and disparities in the quality of working relationships between leaders and members, which have an impact on organizational performance and the quality of public services. The present research is designed to elucidate the nature of the relationships, both collective and individual, between specified leadership variables namely transformational leadership and Leader-Member Exchange (LMX) and the performance of personnel at the Bengkulu Regional Police (Polda Bengkulu). A quantitative paradigm is adopted, utilizing Multiple Linear Regression Analysis as the primary statistical technique to model and quantify these influences. SPSS output results, such as significance values (Sig.) and t-test or F-test values, are interpreted to draw conclusions about whether training and career development significantly influence the job satisfaction of police officers. Utilizing a simple random sampling method, 438 officers from the Bengkulu Regional Police were surveyed. A 7-point Likert scale questionnaire, disseminated via social media, served as the data collection instrument. Following validity and reliability testing to confirm the measurement tools’ accuracy and consistency, a t-test was conducted to evaluate partial hypotheses. The analysis revealed significant positive relationships, indicating that both transformational leadership and LMX are positively associated with police performance within this force. Strengthening transformational leadership and the quality of LMX relationships, supported by optimized internal management and digital transformation of services, are strategic factors in improving police personnel performance while strengthening public trust in the institution.
The Role of Work-Life Balance and Work Environment on Police Job Satisfaction at the East Java Regional Police
Earlyanti, Novi Indah;
Laoli, Elvianus
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 3 (2026): FEBRUARI
Publisher : Transpublika Publisher
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DOI: 10.55047/jekombital.v4i3.1094
Members of the Indonesian National Police (POLRI) often face long and unpredictable working hours and high job demands, leading to stress, fatigue, and conflicts between work and personal life. Additionally, a less supportive work environment, including facilities, interpersonal relationships among members, and disciplinary pressure, can affect the performance and job satisfaction of POLRI members. These issues form the background of this study, which aims to analyze the influence of work-life balance and the work environment on the job satisfaction of POLRI members in the East Java region. This research uses a quantitative method, collecting data through questionnaires distributed randomly to 367 POLRI members via social media. Data analysis was conducted using validity and reliability tests, classical assumption tests (normality, multicollinearity, heteroscedasticity), and multiple linear regression to examine partial (t-test) and simultaneous (F-test) effects, with the coefficient of determination (R²) measuring the contribution of the independent variables. The results show that both work-life balance and the work environment have a positive and significant influence on the job satisfaction of POLRI members, emphasizing the importance of managing working hours, environmental support, and balancing work and personal life to enhance members' performance and well-being. The study implies that POLRI management needs to improve support for the work environment, manage working hours and workload, and facilitate a balance between work and personal life for members, so that the performance and well-being of POLRI personnel can be optimally enhanced.