cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Shahid Mehmood
Contact Email
indexsasi@apji.org
Phone
+6285885852706
Journal Mail Official
info@ifrel.org
Editorial Address
Jalan Watunganten 1 No 1-6, Batursari, Mranggen, Kab. Demak, Provinsi Jawa Tengah, 59567
Location
Kab. demak,
Jawa tengah
INDONESIA
Management Dynamics: International Journal of Management and Digital Sciences
Published by International Forum of Researchers and Lecturers
ISSN : 30484154     EISSN : 30484162     DOI : 10.70062
Core Subject : Science,
Decision Sciences, Operations Research & Management
(Management Dynamics: International Journal of Management and Digital Sciences) [e-ISSN : 3048-4162, p-ISSN : 3048-4154] is an open access Journal published by the IFREL (International Forum of Researchers and Lecturers). ManagementDynamics accepts manuscripts based on empirical research results, new scientific literature review, and comments/ criticism of scientific papers published by ManagementDynamics. This journal is a means of publication and a place to share research and development work in the field of Management and Digital Sciences. Articles published in ManagementDynamics are processed fully online. Submitted articles will go through peer review by a qualified international Reviewers. Complete information for article submission and other instructions are available in each issue. ManagementDynamics publishes 4 (four) issues a year in January, April, July and October, however articles that have been declared accepted will be queued in the In-Press issue before published in the determined time.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 83 Documents
 5   6   7   8   9 
The Impact of the Development Trend and Policy Optimiza-tion of NEV on Guizhou Consumers' Usage Behavior Based on Its Natural Environment Xiang Pi; Jacky Mong Kwan Watt
Management Dynamics: International Journal of Management and Digital Sciences Vol. 2 No. 4 (2025): International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v2i4.406

Abstract

The Impact of Development Trends and Policy Optimization of New Energy Vehicles (NEVs) on Consumer Usage Behavior in Guizhou explores the relationship between the evolving landscape of NEVs and consumer behavior in Guizhou, with a strong emphasis on environmental con-siderations. It argues that as consumers become more aware of environmental issues, their willingness to adopt NEVs increases, influenced by both government policies and social factors. The study highlights how effective policy optimization—such as financial incentives and educational initiatives—can enhance the adoption of NEVs. Additionally, it underscores the role of social influence in shaping consumer at-titudes and behaviors toward sustainable transportation. By examining these dynamics within the context of Guizhou's natural environment, the research provides valuable insights into creating a more sustainable transportation framework that aligns with both consumer preferences and ecological goals, based on a sample of 390 consumers.
The Influence of Financial Recording Systems on the Business Performance of Culinary MSMEs in Harjosari I Subdistrict, Medan Amplas Nova Azahra; Sri Murniyanti; Muhammad Rizaldy Wibowo; Rukmini Rukmini
Management Dynamics: International Journal of Management and Digital Sciences Vol. 2 No. 4 (2025): International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v2i4.407

Abstract

This study aims to evaluate the financial recording system implemented by Micro, Small, and Medium Enterprises (MSMEs) in the culinary sector, and analyze its impact on business performance. MSMEs are a very dynamic sector and contribute significantly to the national economy, but many of them do not yet have an adequate financial recording system. Good financial recording is key in business decision making, budget planning, and profitability assessment. The population in this study were 370 culinary MSMEs in Harjosari I Village. The research sample was taken at 20%, namely 74 respondents. The study used a quantitative approach with a survey method through the distribution of questionnaires to 74 culinary MSMEs in Harjosari I Village, Medan Amplas. Data analysis was carried out using simple linear regression to see the relationship between the quality of the financial recording system as an independent variable and business performance as a dependent variable. The results showed that the better the financial recording system, the better the business performance, this can be shown by the regression equation, Y = 1.395 + 0.308 + e. The research results indicate that improving accounting literacy and the use of digital technologies, such as MSME bookkeeping applications, are essential. The involvement of local governments and financial institutions is crucial in educating and facilitating digital-based bookkeeping systems for culinary MSMEs to enhance their competitiveness and business sustainability.
Enhancing Employee Engagement and Productivity in Technology Companies through Digital Gamification Idam Wahyudi; Anggun Sulistyowati; Parviz Hasanov
Management Dynamics: International Journal of Management and Digital Sciences Vol. 1 No. 1 (2024): January: International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v1i1.416

Abstract

This study investigates the impact of digital gamification on employee motivation, engagement, and productivity in technology companies. Gamification, which integrates game design elements such as rewards, badges, and leaderboards into non-game environments, has gained popularity as a tool for enhancing employee performance in workplaces. The research employs a quantitative survey methodology to gather data from employees in technology firms that have implemented gamified systems. The findings reveal that gamification significantly increases employee motivation by tapping into intrinsic motivators such as autonomy, competence, and relatedness. Employees reported higher levels of engagement, with many attributing their increased participation to the fun and competitive nature of gamified tasks. Additionally, productivity improvements were observed, particularly among employees in roles that require individual performance, such as software engineers, where autonomy and goal-setting were key factors. The study also identifies variations in the effectiveness of gamification based on factors such as job role and organizational culture, emphasizing the need for customization to suit different employee needs. Despite these positive outcomes, challenges such as employee resistance, poorly designed systems, and resource constraints were noted as barriers to successful gamification implementation. These findings suggest that gamification is an effective strategy for improving motivation and engagement in technology companies but requires thoughtful design and alignment with company culture to maximize its impact. Future research should explore the long-term effects of gamification and examine how specific elements, such as leaderboards and rewards, influence employee behavior across different demographics.
The Impact of Augmented Reality on Online Shopping Experience, Purchase Decision, and Customer Satisfaction in Modern E-Commerce Platforms Sudirwo, Sudirwo; Safier Ramdani; Sezen Fetullah Mursalova
Management Dynamics: International Journal of Management and Digital Sciences Vol. 1 No. 1 (2024): January: International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v1i1.417

Abstract

Augmented Reality (AR) technology has emerged as a transformative tool in the e-commerce industry, enhancing the online shopping experience by offering interactive and immersive features. This study explores the impact of AR on consumer behavior, focusing on key factors such as trust, satisfaction, purchase decisions, and customer loyalty. Through a user experiment, participants interacted with AR-integrated e-commerce platforms, testing features such as virtual try-ons and product visualizations in real-world contexts. The results revealed that AR significantly enhances consumer trust, with more realistic and accurate product visualizations increasing confidence in both the product and platform. Customer satisfaction was also notably higher after interacting with AR features, with users reporting a more engaging and enjoyable shopping experience. Furthermore, purchase intention was positively influenced by the ability to visualize products and receive real-time, interactive feedback. Repeated exposure to AR led to increased customer loyalty, as participants expressed a higher likelihood of returning to use AR tools in future shopping experiences. These findings suggest that AR provides a strong competitive advantage for e-commerce platforms, enabling them to differentiate themselves in a crowded market by offering personalized, engaging, and trust-building shopping experiences. This research also highlights the practical implications for e-commerce businesses, recommending the integration of user-friendly and interactive AR features to enhance engagement, satisfaction, and decision-making. Future research should explore the broader applications of AR across industries and consumer segments to further understand its potential to revolutionize online shopping.
Improving Customer Service and Satisfaction in Indonesian Digital Banks with AI-Powered Chatbots Paulina Rosna Dewi Redjo; Diah Wuriah Ningsih; Tural Latif Gojayev
Management Dynamics: International Journal of Management and Digital Sciences Vol. 1 No. 1 (2024): January: International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v1i1.418

Abstract

The integration of Artificial Intelligence (AI) chatbots into customer service operations within digital banks has become a transformative trend in the banking sector, particularly in Indonesia. This study examines the effectiveness of AI chatbots in improving both operational efficiency and customer satisfaction in three selected Indonesian digital banks. The research focuses on evaluating the impact of AI chatbots in reducing response times, handling high volumes of customer inquiries, and improving service availability. The study also delves into customer feedback, measuring satisfaction with the ease of use, personalization, and responsiveness of the AI systems. The results demonstrate that AI chatbots significantly enhance customer service efficiency by reducing wait times and automating routine inquiries, which reduces the need for human intervention. Additionally, customers reported high satisfaction with the round-the-clock availability of AI chatbots and the personalized financial advice provided. However, despite these benefits, challenges related to data security, chatbot accuracy, and customer adaptation to automated systems remain prevalent. Data privacy concerns and issues regarding the chatbot's ability to handle complex queries were noted as limiting factors in customer trust and satisfaction. The study highlights the implications of these findings for the future of digital banking in Indonesia, emphasizing the need for improved chatbot integration, stronger data security measures, and enhanced user experience design. The integration of AI in customer service operations holds significant potential for digital banks and the broader financial sector to improve operational efficiency, reduce costs, and meet the evolving expectations of customers.
Social Media Sentiment Analysis as a Predictor of Product Launch Success in the Digital Marketplace Adi Lukman Hakim; Aytan Azizli
Management Dynamics: International Journal of Management and Digital Sciences Vol. 1 No. 1 (2024): January: International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v1i1.419

Abstract

This study explores the role of sentiment analysis as a predictive tool for understanding and forecasting product launch success in the digital market. Sentiment analysis involves the classification of consumer sentiment expressed on social media platforms such as Twitter and Instagram, and it can significantly impact businesses by predicting consumer behavior and product performance. The research highlights the relationship between social media sentiment and product success, demonstrating that positive sentiment is strongly correlated with higher sales and consumer engagement, while negative sentiment can lead to declines. Machine learning models, including Support Vector Machines (SVM) and Random Forest, were employed to classify sentiment from large volumes of social media data and correlate it with product performance indicators such as sales volume and consumer interaction. The study found that sentiment analysis models were highly effective in predicting product success, with positive sentiment generally driving product profitability and negative sentiment posing a potential threat to brand reputation. Moreover, the analysis showed that social media sentiment provides real-time insights into consumer perceptions, enabling businesses to quickly adjust marketing strategies and product development plans. These findings underscore the importance of integrating sentiment analysis into product launch evaluations and strategic decision-making. Future research should explore the integration of sentiment analysis with other predictive market models and investigate the effects of fake reviews and post-purchase consumer behaviors on product success.
Integrated Operational Management for Smart & Green Village: A Novel Model Based on Operational Efficiency, Technology, and Community Participation Mia Kusmiati; Andri Muhamad Nuroni; Hadi Sunyata
Management Dynamics: International Journal of Management and Digital Sciences Vol. 2 No. 4 (2025): International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v2i4.420

Abstract

Purpose– The objective of this research is to develop an integrated operational management model for Smart & Green Villages (SGVs), combining the principles of smart villages and green villages to promote sustainable, inclusive, and adaptive rural development. This research emphasizes operational efficiency, environmental sustainability, digital technology utilization, and community participation as key pillars. Design/Methodology/Approach – A mixed-methods approach was adopted, involving surveys of villages in Indonesia that have begun adopting SGV principles, in-depth interviews with village officials and key stakeholders, and case studies of villages that have successfully implemented smart technologies and environmentally friendly practices. Data triangulation was applied to strengthen the validity of the findings. Findings – The study shows that integrating functional organizational structures, optimizing digital technologies such as the Internet of Things (IoT) and village information systems, and building participatory community mechanisms significantly improve public service delivery, reduce operational costs, enhance environmental management, and strengthen socio-economic well-being. The study also identified new operational variables, including cost-effective innovation, digital local governance, inter-village shared resources, and socio-environmental audits as a multidimensional evaluation tool. Practical implications – These findings provide a practical framework for policymakers, local governments, and community leaders to implement and evaluate SGV. The multidimensional indicators proposed in this study enable continuous monitoring and adaptation of village operations to local conditions and resource constraints. Originality/Value – This study is one of the first to propose a concrete and replicable SGV operational management model by introducing new variables and multidimensional evaluation indicators. It enriches the theoretical discourse on smart and green village integration while offering actionable strategies for sustainable rural governance.
Integrative Model Defense Indonesian Hybrid in Face Dynamics ASEAN Conflict Suhirwan Suhirwan; Mia Kusmiati
Management Dynamics: International Journal of Management and Digital Sciences Vol. 2 No. 4 (2025): International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v2i4.422

Abstract

Purpose – This article aim For explore idea integrative regarding defense strategy Indonesian hybrid with combine approach conventional, asymmetric, and multidimensional in face complexity conflict in the ASEAN region. Design/ methodology / approach – Research This use systematic literature review (SLR) method on work Suhirwan and Wahyudin (2023), and literature international related defense, regional security, and warfare asymmetrical. This article analyzed 25 sources covering​ books, journals national reputable, and publications international in 2022–2025 period. Findings – The study shows that ASEAN's defense strategy is not can Again only depend on strength conventional, but need framework integrative that includes element diplomacy defense, defense cyber, and the role of actor Civil Defense Model Proposed hybrid​ in article This offer framework adaptive for Indonesia to anticipate threat conventional and non- conventional at a time.Implications practical – This article emphasize that Indonesia needs developing Cyber Forces Independent, strengthening diplomacy defense, as well as build Work The same cross ministries and institutions as part from system defense layered national.​ Originality / Value – Novelty article This lies in the formulation of the Integrative Model Defense Synergistic hybrid​ aspect military regular, defense cyber, counter-terrorism, and diplomacy defense to in One framework strategic. This model give contribution conceptual new for studies defense in ASEAN as well as relevance practical for maker Indonesian policy.
Territorial Defense Management: An Effective Military Strategy in the Contemporary Era Priyanto Priyanto; Mia Kusmiati
Management Dynamics: International Journal of Management and Digital Sciences Vol. 2 No. 4 (2025): International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v2i4.424

Abstract

Purpose –This article aims to examine Territorial Defense Management (TDM) as an adaptive defense strategy in the contemporary era, with a focus on the synergy of UAV–sensor fusion–C2 technologies, whole-of-defense cyber orchestration and strengthening community resilience in facing multidimensional threats. Design/methodology/approach –This study employed a Systematic Literature Review (SRB) approach, using scientific literature sources from 2021–2025 from Scopus, IEEE, Springer, ScienceDirect, Garuda, and ResearchGate. Thirty-one primary articles were selected through rigorous screening and then analyzed using thematic coding and data triangulation to ensure the validity of the findings. Findings –The study results show that: (1) UAVs with sensor fusion increase the effectiveness of regional surveillance, although they require a counter-UAV system and good spectrum governance; (2) whole-of-defense cyber is proven crucial with the support of threat intelligence, territorial cyber operations centers, and AI for anomaly detection and automated response; (3) community resilience strengthens defense through emergency communications, early warning systems, and community participation in joint training with authorities. Practical implications –The effectiveness of MPT can be enhanced through standardization of IoMT architecture across the military services, counter-UAV and cyber exercises at the regional level, and the development of quantitative metrics to measure community resilience linked to military-level readiness. Originality/value –This article contributes by integrating technology, cyber, and community perspectives into a single adaptive MPT framework, thereby strengthening deterrence, rapid response, and socio-technological resilience. This approach is relevant for strengthening Indonesia's modern defense doctrine.
Leveraging Predictive Analytics to Enhance Supply Chain and Logistics Efficiency: Evidence from Indonesia National E-commerce Achmad Daengs; Herman Fland Dakhi; Varinder Singh Rana
Management Dynamics: International Journal of Management and Digital Sciences Vol. 1 No. 2 (2024): April: International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v1i2.444

Abstract

This study explores the integration of predictive analytics into supply chain management within national e-commerce enterprises. Predictive analytics, which utilizes historical data combined with machine learning algorithms, regression analysis, and time series forecasting, has shown significant improvements in operational efficiency. The study focuses on four key areas: demand forecasting, inventory management, transportation optimization, and customer satisfaction. By predicting demand more accurately, e-commerce platforms can reduce stockouts and overstock situations, streamline logistics routes, and lower logistics costs. The implementation of predictive analytics led to a 20% reduction in delivery times and a 15% decrease in logistics costs, thereby enhancing customer satisfaction. However, the study also highlights challenges in integrating real-time data from multiple sources and scaling predictive models across diverse product categories and geographic regions. The results emphasize the need for e-commerce platforms to invest in technology that enables seamless data integration and the development of region-specific predictive models. The findings are compared with industry benchmarks, showing that the improvements in logistics and supply chain performance align with global trends. Based on these results, the study recommends best practices for implementing predictive analytics, including effective data collection, machine learning model training, and scalability considerations. By following these practices, e-commerce companies can optimize their supply chains, reduce operational costs, and increase customer satisfaction, positioning them for greater competitive advantage in the marketplace.

Page 8 of 9 | Total Record : 83

 5   6   7   8   9 

Filter by Year

2024 2025


Reset
Filter By Issues
All Issue Vol. 2 No. 4 (2025): International Journal of Management and Digital Sciences Vol. 2 No. 3 (2025): International Journal of Management and Digital Sciences Vol. 2 No. 2 (2025): International Journal of Management and Digital Sciences Vol. 2 No. 1 (2025): International Journal of Management and Digital Sciences Vol. 1 No. 4 (2024): October : International Journal of Management and Digital Sciences Vol. 1 No. 3 (2024): July: International Journal of Management and Digital Sciences Vol. 1 No. 2 (2024): April: International Journal of Management and Digital Sciences Vol. 1 No. 1 (2024): January: International Journal of Management and Digital Sciences