cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
M. Rizky Mahaputra
Contact Email
siberpublisher.info@gmail.com
Phone
+6282210123600
Journal Mail Official
siberpublisher.info@gmail.com
Editorial Address
Jalan Marina Indah Raya No. 1 Pantai Indah Kapuk, Kamal Muara, Penjaringan, Jakarta Utara, Indonesia
Location
Kota adm. jakarta utara,
Dki jakarta
INDONESIA
Siber International Journal of Digital Business
Published by Siber Nusantara Review
ISSN : 29879337     EISSN : 29879329     DOI : https://doi.org/10.38035/sijdb.v1i1
Core Subject : Economy, Science,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
iber International Journal of Digital Business (SIJDB) is a scientific research journal on science and technology in digital business management, managed and published by Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER). SIJDB contains articles that contribute to the understanding, theory development, theoretical concepts, and implementation of digital science and technology theory at all levels. This journal publishes original research articles, reviews, essays, and case studies in all fields of digital business management science and technology-related fields and their applications.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 70 Documents
 3   4   5   6   7 
Mapping Trend of Digital Marketing Shapes Consumer Behaviour Across Indonesia: A Literature Review and Integration of Artificial Intelligence on Research Design for Future Research Hermansyah, Hermansyah; Sihotang, Doni Sugianto; Ilhamilimy, Ridho Rafqi; Rizan, Mohamad; Wibowo, Setyo Ferry
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 4 (2025): (SIJDB) Siber International Journal of Digital Business (April - June 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i4.169

Abstract

This study  presents a  systematic  literature  review that  maps the  development of  digital marketing  research  and  its  influence  on  consumer  behavior  across  Indonesia,  with  an emphasis on the integration of Artificial Intelligence (AI) in future research design. Using content analysis on 60 journal articles published between 2012 and 2025, the study identifies five dominant variables—purchase decision, social media marketing, influencer marketing, brand trust, and brand image—alongside prevailing analytical methods, including Structural Equation Modeling (SEM) and Multiple Linear Regression. Bibliometric mapping through VOSviewer  reveals  clusters  of  thematic  focus  such  as  consumer  engagement,  digital branding, and e-commerce localization. The study also highlights trending topics over time, showing a shift from traditional marketing elements to AI-enhanced strategies. Furthermore, this paper proposes a conceptual framework linking AI applications with social media marketing, influencer marketing, and brand trust to guide future empirical studies. Findings underscore the growing academic and practical relevance of AI in digital marketing, and offer a foundation for predictive, data-driven approaches to understanding Indonesian consumer behavior.
Case Study of the Use of Big Data in Business Decision Making Burga, Ruben; Ridwan
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 4 (2025): (SIJDB) Siber International Journal of Digital Business (April - June 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i4.177

Abstract

This study explores the impact of Big Data Analytics (BDA) on business decision-making and business performance at PT XYZ, a leading e-commerce company in Indonesia. As businesses increasingly rely on data-driven strategies to remain competitive, Big Data has emerged as a critical tool for enhancing decision-making processes and optimizing business outcomes. The primary objectives of this study were to analyze how PT XYZ utilizes Big Data to inform strategic and operational decisions, to assess the benefits of this implementation, and to identify the challenges faced during the process. Through qualitative research methods, including interviews, document analysis, and observations, this study investigates the ways in which Big Data analytics tools such as predictive modeling, machine learning algorithms, and customer segmentation are integrated into the company’s decision-making framework. The findings suggest that the use of Big Data has led to significant improvements in revenue growth, customer satisfaction, and operational efficiency at PT XYZ. Specifically, the company saw a 12% increase in revenue, a 15% improvement in customer satisfaction, and an 8% reduction in operational costs following the adoption of Big Data-driven decision-making processes. Despite these positive outcomes, the implementation of Big Data faced several challenges, including data integration issues, skill gaps among employees, and high initial costs associated with adopting new technologies. The study concludes that while Big Data Analytics can greatly enhance business performance, companies must address these challenges to fully realize its potential. The research provides valuable insights for other businesses considering the integration of Big Data into their decision-making processes. It also contributes to the growing body of literature on Big Data's role in modern business management and its ability to drive strategic and operational improvements.
Conceptualizing the Digital Value Chain as a Sustainability Strategy in the Local Fashion Industry Cholifah, Fismayatni; Suhud, Usep; Wibowo, Setyo Ferry
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 4 (2025): (SIJDB) Siber International Journal of Digital Business (April - June 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i4.184

Abstract

This convergence of sustainability imperatives and digital transformation is reshaping the future of the fashion industry, particularly for local micro, small, and medium enterprises (MSMEs). However, the integration of digital value chains into sustainability strategies remains underexplored, especially in emerging economies. This conceptual paper aims to develop a theoretical framework that positions digital value chain innovation as a strategic enabler of sustainable competitiveness in the local fashion industry. Using content analysis on 60 journal articles published between 2012 and 2025, the study identifies dominant variables. Drawing from the domains of digital transformation, green marketing, and customer value theory, the proposed model illustrates how digitalization of core value chain activities—including sourcing, production, promotion, distribution, and after-sales service—can enhance customer-perceived value through transparency, ethical branding, and operational efficiency. The framework highlights how these innovations contribute to long-term brand trust and competitive advantage in sustainability-oriented markets. This paper contributes to the growing body of literature on sustainable digital marketing and offers practical insights for policymakers and fashion entrepreneurs striving for ecological, social, and economic sustainability alongside prevailing analytical methods, including Structural Equation Modeling (SEM) and Multiple Linear Regression.
Human-AI Collaboration in Supply Chain Industry 5.0 to Build a Human-Centered Autonomous Ecosystem Ardanta, M Arya; Fauzi, Achmad; Patimah, Pitri; Khadijah, Fayza; Yunandi, Sheryl Rashida; Ghowe, Azka Marzuqi
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 4 (2025): (SIJDB) Siber International Journal of Digital Business (April - June 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i4.197

Abstract

The emergence of Industry 5.0 has shifted supply chain management from full automation toward a human-Al collaborative ecosystem, where artificial intelligence (AI) enhances efficiency while retaining human decision-making and ethical considerations. This study explores the incorporation of AI-powered decision-making, autonomous systems, and sustainability strategies in modern supply chains, emphasizing their impact on efficiency, resilience, and transparency. The research highlights how Al-powered predictive analytics, real-time inventory management, and automated logistics optimize supply chain performance, reducing operational costs and minimizing waste. Case studies from Amazon, JD Logistics, and Siemens demonstrate how AI-powered solutions improve predictive demand analysis, optimize routing, and circular economy practices, leading to more sustainable and agile supply chains. Furthermore, autonomous systems, such as self-driving freight vehicles and robotic fulfillment centers, significantly improve speed and accuracy in global supply networks. Despite its advantages, Al adoption in supply chains presents challenges, including substantial implementation costs, cybersecurity threats, and workforce adaptation challenges, and ethical concerns related to automation. The study underscores the necessity of a human-centric approach, ensuring that AI enhances human expertise rather than substituting it. Organizations must prioritize Al transparency, ethical governance, and digital upskilling programs to maximize AI's potential in next-generation Industry 5.0 supply networks. This research concludes the successful integration of AI in managing supply chains will drive the next generation of self-optimizing, sustainable, and resilient supply networks. Future research should examine AI's long-term socioeconomic effects, its integration with blockchain and IoT, and the development of AI ethics in decision-making.
Influence of SHE (Safety, Hygiene, Environment) and Service Quality on Purchase Intention Mediated By Pricing Policy on Scheduled Domestic Airlines in Indonesia Wardana, Aditya; Arafah, Willy; Usman, Bahtiar
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 4 (2025): (SIJDB) Siber International Journal of Digital Business (April - June 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i4.198

Abstract

The aim of this research is to analyse the influence of SHE (safety, hygiene, and environment) and service quality on purchase intention, which mediates pricing policy on scheduled domestic airlines in Indonesia. This research was conducted by distributing questionnaires to consumers via Google Forms to 250 respondents containing demographic questions and 43 statement items. The research method used is hypothesis testing. We measured the respondents' answers using a Likert scale, scoring from one to five, use Smart-PLS version 3.0 software with multivariate analysis methods. Structural Equation Model (SEM). It is directly proven that there is a significant positive influence between service quality and purchase intention. However, SHE to purchase intention is not proven to have a significant effect. Meanwhile, based on indirect hypothesis testing, it is proven that there is a significant influence between service quality and purchase intention mediated by pricing policy. And SHE variables mediated by pricing policy do not have a significant influence on purchase intention. In this research, researchers have limitations that future researchers can develop further by adding new variables or using other research methods. As a conclusion, the researcher has provided suggestions that may be useful for other researchers.
Modeling Revisit Intention in Coastal Ecotourism: A Conceptual Framework from the Case of Beach Tourism in Bangka Belitung Fitriani, Yulia; Suhud, Usep; Wibowo, Setyo Ferry
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 4 (2025): (SIJDB) Siber International Journal of Digital Business (April - June 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i4.200

Abstract

Coastal ecotourism serves as a key strategy in the development of sustainable tourism, particularly in archipelagic regions such as Bangka Belitung. Despite possessing internationally recognized natural wealth through its designation as a UNESCO Global Geopark, the region continues to experience a relatively low level of tourists’ revisit intention. This study aims to develop a conceptual framework that explains revisit intention by positioning perceived ecotourism value as a mediating variable. The proposed model integrates three core constructs green consumption behavior, digital tourism behavior, and coastal ecotourism experience drawing from interdisciplinary perspectives across tourism, sustainability, and digitalized tourist behavior literature. A synthesis of existing literature reveals that tourists with environmentally conscious lifestyles and active digital engagement tend to perceive greater value in their travel experiences. This perceived value encompassing functional, emotional, and social dimensions plays a significant role in reinforcing their intention to revisit a destination. The framework aligns with the Value-Based Adoption Model (VAM) and the Theory of Planned Behavior (TPB), both of which emphasize psychological and behavioral determinants in shaping loyalty toward sustainable destinations. Strategically, the model provides practical guidance for destination managers in designing high-value tourist experiences through the synergy of ecological conservation and digital integration. Further empirical validation is required to test the model across diverse coastal tourism contexts, particularly in efforts toward post pandemic recovery.
Determining Passenger Satisfaction on Passenger Ships: An Analysis of Excellent Service, Punctuality, and Infrastructure Alfais Amin Darmawan
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 4 (2025): (SIJDB) Siber International Journal of Digital Business (April - June 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i4.202

Abstract

The purpose of this literature review is to develop hypotheses regarding the influence between variables that can be used for further research in the field of marketing management. The article “Literature Review of Passenger Satisfaction Determinants: Analysis of Excellent Service, Punctuality, and Infrastructure” is a scientific article in the field of marketing management. The approach used in this literature review is descriptive qualitative. The data collection technique involves conducting a literature review or reviewing relevant previous articles. The data used in this descriptive qualitative approach were obtained from previous studies relevant to this study and sourced from academic online media such as Thomson Reuters Journal, Springer, Taylor & Francis, Scopus Emerald, Elsevier, Sage, Web of Science, Sinta Journal, DOAJ, EBSCO, Google Scholar, and digital reference books. The results of this literature review article are as follows: 1) Excellent service influences passenger satisfaction on passenger ships; 2) Punctuality influences passenger satisfaction on passenger ships; and 3) Infrastructure influences passenger satisfaction on passenger ships.
Consumer Awareness and Behavior toward the Risks of Harmful Ingredients in Skincare Products: A Thematic Analysis in the Digital Era Haykal, Azzahrah Putri; Suhud, Usep; Rizan, Mohamad
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 4 (2025): (SIJDB) Siber International Journal of Digital Business (April - June 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i4.230

Abstract

This study examines consumer awareness regarding the risks of hazardous ingredients in widely used skincare products in Indonesia. The research background highlights the high usage of skincare products, often without adequate understanding of their composition and potential dangers. The objective of this study is to analyze how consumers identify harmful ingredients, their experiences with unsafe products, and behavioral changes that follow. This research employs a qualitative method through thematic analysis of open-ended responses from skincare users. The results indicate that consumers are increasingly selective, prioritizing product legality and ingredient transparency, and utilizing social media, ingredient-checking applications, and professional consultations as sources of information. Moreover, negative experiences such as skin irritation and other side effects contribute to a more cautious and critical attitude toward product claims. The study concludes that education, transparent information, and consumer protection are key elements in fostering safe and responsible skincare consumption practices.
The Effect of Self-Efficacy, Training and Work Environment on Employee Performance at PT. XYZ Cahyani, Margiati Ayu; Febrian, Wenny Desty
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 4 (2025): (SIJDB) Siber International Journal of Digital Business (April - June 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i4.236

Abstract

This study aims to analyze the influence of self-efficacy, training, and work environment on employee performance at PT. XYZ. High self-efficacy can enhance employees' confidence in completing tasks. In addition, effective training programs and a conducive work environment are believed to support performance improvement. This study employs a quantitative method with data collection techniques through questionnaires and literature studies. The research population consists of all 627 employees of PT. XYZ, with a sample of 86 employees determined using Slovin's formula with a 10% margin of error. The results of the coefficient of determination analysis (R²) show that self-efficacy, training, and work environment influence employee performance by 62.9%, while the remaining 37.1% is affected by other variables. The partial test results indicate that each variable has a significant impact on employee performance. Furthermore, the simultaneous test confirms that self-efficacy, training, and work environment collectively have a significant influence on the performance of employees at PT. XYZ.
The Effect of Motivation, Creativity, and Employee Behavior on Generation Z Employee Performance Agustina, Mei Anggraeni; Febrian, Wenny Desty
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 4 (2025): (SIJDB) Siber International Journal of Digital Business (April - June 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i4.237

Abstract

This study aims to analyze the influence of motivation, creativity, and work behavior on the performance of Generation Z employees. Generation Z is known for its unique characteristics, such as high creativity and an entrepreneurial spirit, but also faces challenges in maintaining work consistency. This research employs a quantitative approach using a survey method involving Generation Z employees at PT. XYZ. The analyzed variables include work motivation (intrinsic and extrinsic drive), creativity (the ability to think innovatively and generate new solutions), and work behavior (discipline, initiative, and efficiency). Employee performance is measured based on quantity, quality, and timeliness in task completion. The findings reveal that motivation, creativity, and work behavior positively and significantly affect the performance of Generation Z employees. Work motivation is the primary factor driving employee productivity, followed by creativity, which contributes to increased innovation in task execution. Additionally, good work behavior, such as discipline and initiative, also positively impacts work effectiveness. These results provide insights for organizations in developing more effective employee management strategies to enhance overall organizational performance.

Page 6 of 7 | Total Record : 70

 3   4   5   6   7 

Filter by Year

2023 2025


Reset
Filter By Issues
All Issue Vol. 3 No. 1 (2025): (SIJDB) Siber International Journal of Digital Business (July - September 2025) Vol. 2 No. 4 (2025): (SIJDB) Siber International Journal of Digital Business (April - June 2025) Vol. 2 No. 3 (2025): (SIJDB) Siber International Journal of Digital Business (January - March 2025) Vol. 2 No. 1 (2024): (SIJDB) Siber International Journal of Digital Business (July - September 2024) Vol. 1 No. 4 (2024): (SIJDB) Siber International Journal of Digital Business (April - June 2024) Vol. 1 No. 3 (2024): (SIJDB) Siber International Journal of Digital Business (January - March 2024) Vol. 2 No. 2 (2024): (SIJDB) Siber International Journal of Digital Business (October - December 202 Vol. 1 No. 1 (2023): (SIJDB) Siber International Journal of Digital Business (July - September 2023) Vol. 1 No. 2 (2023): (SIJDB) Siber International Journal of Digital Business (October - December 202