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All Journal JBMP (Jurnal Bisnis, Manajemen dan Perbankan) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Mantik Bisman (Bisnis dan Manajemen): The Journal of Business and Management Journal of Management - Small and Medium Enterprises (SME's) Jurnal Pengabdian Masyarakat Asia Interdisciplinary Social Studies Journal of Tourism Economics and Policy Eduvest - Journal of Universal Studies Journal of Mandalika Literature Journal of Practical Management Studies E-Amal: Jurnal Pengabdian Kepada Masyarakat Journal of Management and Business Innovation (JOMBINOV)
Klaasvakumok Jehezkielomi Kamuri
Department Of Business Administration, Politeknik Nenegeri Kupang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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Causal Model of Emotional Intelligence, Digital Literacy, and Employee Work Productivity of Banking Staff in Kupang: A Structural Equation Modeling Approach Moni Y. Siahaan; Klaasvakumok J. Kamuri
Journal of Management and Business Innovation Journal of Management and Business Innovation (JOMBINOV): Volume 01, No 01, December 2025
Publisher : CV. Vocezmi Learnov

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65792/jombinov.v1i01.25

Abstract

The ongoing transformation of the workplace, driven by the Industrial Revolution 4.0 and the paradigm of Society 5.0, has intensified the demand for human resources equipped with advanced emotional and digital capabilities. This study develops a comprehensive causal framework that examines the interrelationships among emotional intelligence, digital literacy, and employee productivity using a Structural Equation Modeling (SEM) approach. The empirical evidence demonstrates that emotional intelligence significantly enhances productivity by fostering stronger emotional regulation, adaptive responses to organizational change, and effective interpersonal collaboration. Digital literacy is likewise a crucial determinant of productivity, enabling employees to utilize digital technologies more efficiently to achieve performance targets. Furthermore, the results indicate that emotional intelligence positively contributes to the development of digital literacy, suggesting that emotionally competent individuals exhibit greater openness and motivation toward technological adaptation. Importantly, digital literacy acts as a significant mediating mechanism linking emotional intelligence to productivity, emphasizing the need for organizations to strategically cultivate both competencies in synergy. The study advances the theoretical discourse on employee productivity by conceptualizing the integrated roles of emotional and digital competencies and provides actionable insights for organizations to design holistic human resource development initiatives that align with the rapidly digitalized and dynamic characteristics of contemporary work environments.
An Integrated Innovation DiffusionTrust-Building Framework for Understanding Mobile Payment Adoption in Indonesia’s Cross-Border Regions Klaasvakumok J. Kamuri; Andrias U. T. Anabuni
Journal of Management and Business Innovation Journal of Management and Business Innovation (JOMBINOV): Volume 01, No 01, December 2025
Publisher : CV. Vocezmi Learnov

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65792/jombinov.v1i01.30

Abstract

Mobile payment adoption in Indonesia has expanded rapidly; however, its diffusion in cross-border regions remains limited due to infrastructural inadequacies, heightened cross-border transaction risks, and low levels of trust in digital financial platforms. These regions—marked by high population mobility, informal economic activity, and uncertain regulatory oversight—create a unique context in which conventional technology adoption models may not fully capture user behaviour. This study introduces an integrated framework that combines Innovation Diffusion Theory and Trust-Building Theory to investigate how mobility, customization, security, and reputation shape trust and influence mobile payment adoption in Indonesia’s international border areas. The framework further examines the role of trust in mitigating perceived risk and strengthening continuance usage intention, while also assessing gender as a moderating variable. Data were obtained from 225 mobile payment users residing in major border gateways between Indonesia and Malaysia, Timor-Leste, and Papua New Guinea. Using partial least squares structural equation modelling (PLS-SEM), the results indicate that security, customization, and reputation significantly enhance trust, whereas mobility does not exert a meaningful effect within the border context. Trust substantially increases continuance usage intention and reduces perceived risk; however, perceived risk does not significantly influence continuance intention. Gender is also found to have no moderating effect on any of the hypothesized relationships. This study contributes to the mobile payment literature by providing a contextualized understanding of user behaviour in high-risk, infrastructure-constrained environments. It also offers practical implications for policymakers and fintech providers aiming to expand digital financial inclusion and strengthen trust-based payment ecosystems in Indonesia’s cross-border regions.
The Mediating Role of Innovation and Artificial Intelligence on SMEs Performance Yonas Ferdinand Riwu; Klaasvakumok Jehezkielomi Kamuri; Sonia Virgarini Nawi
Journal of Management and Business Innovation Journal of Management and Business Innovation (JOMBINOV): Volume 02, No 01, March 2026
Publisher : CV. Vocezmi Learnov

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65792/jombinov.v2i01.36

Abstract

This study aims to examine the influence of knowledge management, Artificial Intelligence (AI), and innovation on the performance of Small and Medium Enterprises (SMEs) in Indonesia, as well as to analyze the mediating roles of innovation and AI in strengthening SME performance. The study employed a quantitative approach using survey data collected from 200 SMEs across various industrial sectors in Indonesia. Data analysis was conducted using Partial Least Squares–Structural Equation Modeling (PLS-SEM) to test the validity of the measurement model and examine the hypothesized relationships among variables. This study contributes to the literature by integrating knowledge management, AI adoption, and innovation within a unified framework to explain SME performance. It provides empirical evidence on the mediating roles of innovation and AI, highlighting their strategic importance in translating knowledge resources into superior organizational performance. The findings suggest that SME owners and managers should invest in structured knowledge management systems and AI-supported technologies to enhance decision-making, collaboration, and innovation capabilities. Policymakers are encouraged to support SMEs through training programs and technological infrastructure development to foster sustainable SME growth. This study is limited by its cross-sectional design and reliance on self-reported survey data, which may restrict causal interpretation. Future research is recommended to employ longitudinal designs, expand sample coverage, and incorporate additional contextual variables to deepen understanding of digital transformation and performance dynamics in SMEs.
A Study on Middle-Class Gen Z Consumers in Kupang City: Materialism and the Status Consumption Trap Klaasvakumok Jehezkielomi Kamuri; Maya Sinlae
Journal of Management and Business Innovation Journal of Management and Business Innovation (JOMBINOV): Volume 02, No 03, September 2026
Publisher : CV. Vocezmi Learnov

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65792/jombinov.v2i3.52

Abstract

This research studies the influence of materialism on the status consumption trap among middle-class Generation Z consumers in Kupang City, and analyzes the mediating role of status consumption in that relationship. The study used a causal-explanatory quantitative approach, with a cross-sectional survey design comprising 200 respondents chosen through purposive sampling. The SmartPLS 4.0 software was used to perform partial least squares structural equation modeling (PLS-SEM) on the data. The findings show that materialism increases status consumption and directly contributes to the status consumption trap. Status consumption also significantly strengthens the consumption trap and partially mediates the relationship between materialism and the trap among middle-class Generation Z consumers in Kupang City. This study operationalizes the status consumption trap as a measurable variable that is conceptually distinct from traditional status consumption, bridging the gap between the literature on status consumption and compulsive purchasing. This is the first study to look at this link in the non-metropolitan setting of Eastern Indonesia. The findings are useful for financial authorities creating digital credit limitations based on purchasing behavior, social media platforms analyzing the algorithmic impact on aspirational consumption, and colleges incorporating financial literacy into the curriculum. Cross-sectional design constrains the ability to capture the dynamics of trap creation over time. The findings' generalizability is limited because they only cover a single city. Further study with a longitudinal approach and cross-city comparative studies is strongly encouraged.
The Impact of AI Chatbot Implementation on Customer Satisfaction: A Study of Food and Beverage (F&B) Businesses in Labuan Bajo, Indonesia Absiani S. Ndun; Klaasvakumok J. Kamuri; Andrias U. T. Anabuni
Journal of Management and Business Innovation Journal of Management and Business Innovation (JOMBINOV): Volume 02, No 03, September 2026
Publisher : CV. Vocezmi Learnov

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65792/jombinov.v2i3.55

Abstract

This research aims to analyze the impact of AI chatbot implementation on customer satisfaction in the food and beverage (F&B) business in Labuan Bajo by examining the role of customer digital trust as a mediating variable. This research uses an explanatory quantitative approach with purposive sampling technique on 131 F&B customers who have experience interacting with AI chatbots. The data were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method with the help of the SmartPLS 4 application to test the relationships between variables in the research model. The implementation of AI chatbots has been proven to have a positive and significant impact on digital trust and customer satisfaction directly. Additionally, digital trust also has a positive and significant impact on customer satisfaction. The results of the mediation test indicate the presence of complementary partial mediation, meaning that more than half of the AI chatbot's influence on customer satisfaction occurs thru the enhancement of customer digital trust. This research enriches the TAM and ERP by providing a mechanistic explanation of the conditions under which the relationship between AI chatbots and customer satisfaction holds, while also being the first study to test this mechanism in F&B businesses at Indonesia's super-priority tourist destinations. F&B business operators need to develop chatbots that not only focus on response speed but also build credibility and customer trust. Meanwhile, local governments can use these findings as a basis for designing more effective digitalization support programs for MSMEs that meet the needs of business operators. The research sample was dominated by domestic tourists and collected thru a cross-sectional design at a single destination, so the generalization of the findings needs to be done with caution. Future research is recommended to use a longitudinal design and a comparative approach between destinations to obtain a broader understanding.
Co-Authors Absiani S. Ndun Aman, Dominikus K.T. Aman, Dominikus Kopong T. Ananda, Lidea Anderias U. T. Anabuni Dominikus Aman Dominikus K.T. Aman Dominikus K.T.Aman Dominikus Kopong T. Aman Fanggidae, Apriana Fanggidae, Ronald Patrick Costantin Giri, Yanti S. Irience R.A. Manongga Makatita, Reyner F. Marianus S. Neno Marianus S. Neno Marianus S.Neno Marianus Saldanha Neno Maya Sinlae Moni Y. Siahaan Natonis, Sari Angriany Nazarudin, Hamzah Neno, Marianus S. Nenohai, Marylin E.S. Pane, Ayu Sartika paulina amtiran Paulina Y. Amtiran Ronald Fanggidae Sonia Virgarini Nawi Yonas F Riwu Yosefina K.I.D.D Dhae Yuri S. Fa’ah Yuri Sandra Faah Yuri.S.Fa’ah Yury Fa’ah Yury S. Fa’ah