Journal of Management Changes in Digital Era
Journal of Management Changes in the Digital Era: Embracing Transformation for Sustainable Success The rapidly evolving digital landscape has brought about a paradigm shift in the way organizations operate, necessitating significant changes in management practices. The Journal of Management Changes in the Digital Era serves as a vital platform for exploring the multifaceted aspects of this transformative era and its impact on management strategies. With technology continually redefining industries and disrupting traditional business models, managers and leaders must adapt to remain competitive, seize opportunities, and foster sustainable success. In the digital era, the convergence of emerging technologies, such as artificial intelligence, blockchain, cloud computing, and the Internet of Things, has unleashed unprecedented opportunities for organizations to optimize their processes, enhance customer experiences, and drive innovation. However, capitalizing on these possibilities requires proactive management approaches that can effectively navigate the complexities and challenges presented by this rapidly changing environment. This scholarly journal provides a forum for researchers, scholars, industry professionals, and policymakers to contribute and exchange insights, theories, empirical studies, and practical strategies related to management changes in the digital era. It aims to uncover novel frameworks, best practices, and transformative management approaches that can guide organizations in effectively harnessing the power of digital technologies. The Journal of Management Changes in the Digital Era encompasses a wide range of topics, including but not limited to digital transformation strategies, agile management methodologies, digital leadership, data-driven decision-making, cybersecurity and privacy concerns, organizational culture and change management, human resource challenges in the digital age, and the implications of digitalization on business ethics and sustainability. By examining these diverse aspects of management changes in the digital era, the journal seeks to advance our understanding of the opportunities, complexities, and implications associated with digitalization. It encourages evidence-based research and encourages authors to propose innovative solutions, frameworks, and case studies that shed light on the practical implementation of digital management strategies across various industries and organizational contexts. Ultimately, the Journal of Management Changes in the Digital Era endeavors to empower managers, executives, and policymakers with knowledge and insights that enable them to embrace the digital revolution, adapt their organizations' structures and processes, and leverage technology to drive growth, innovation, and sustainable success. Through rigorous academic inquiry and real-world applications, this journal aims to be at the forefront of shaping the management practices and strategies needed in an increasingly digitalized world.
Designing a Data-Driven Circular Business Model for Old Clothes in the Digital Era: Insights from Youth-Led Recycling Clubs
Fast fashion and textile waste have become urgent sustainability challenges that demand immediate solutions, yet digital technologies are creating new opportunities for the fashion industry to build data-driven circular business models. This study develops and demonstrates a data-driven circular business model for used clothing based on a case study of a youth-led clothing recycling club established in 2024. The paper builds upon operational research findings on low-carbon inventory management under carbon tax and carbon labeling policies, as well as optimization research on recycling bin placement based on user preferences and social network data, integrating analytical tools into a comprehensive business model framework that encompasses value creation, value delivery, and value capture. Empirical data from the club's operations—including donation volumes, digital engagement records, and estimated carbon emission reductions—combined with qualitative insights from participants, are used to map current and potential circular value flows. The analysis reveals that digital tools such as data-driven location planning, carbon emission dashboards, and personalized reminders enable the transformation of clothing recycling from ad-hoc, dispersed collection methods into an integrated circular model that coordinates interactions among donors, schools, charitable organizations, and secondhand resale platforms. The paper's contributions include: (1) proposing a conceptual framework for a data-driven circular business model specifically for the used clothing sector; (2) demonstrating how youth-led initiatives can serve as "living laboratories" for digital sustainability innovation; and (3) providing managerial and policy implications for scaling similar models to other communities and regions.
Circular Business Model, Recycling, Data-Driven, Digital Era
Copyright (c) 2025 Journal of Management Changes in Digital Era
Data-Driven Evaluation of Cybersecurity Costs in The Digital Era: Managerial Implications for IT Companies
In the digital era, cybersecurity has become a critical managerial concern for IT companies, as cyber risks increasingly affect financial performance, operational continuity, and strategic decision-making. This study proposes a data-driven approach to evaluating and managing cybersecurity costs by integrating cyber risk forecasting with multi-criteria decision analysis. Using the Global Cost of Cyber Risk Calculator and firm-level proportional estimation, the study forecasts potential cyber-attack losses for the Lithuanian IT sector and a representative IT company over the period 2025–2029. Survey data from IT and finance managers are further analysed using the TOPSIS method to prioritise cybersecurity investment strategies. The results indicate a substantial growth in projected cyber-attack costs, highlighting the need for proactive and structured cybersecurity investment decisions. Among alternative measures, advanced firewall and intrusion detection systems, secure network architecture, and employee training emerge as the most effective strategies for reducing cyber risk exposure. This study contributes to the literature on management changes in the digital era by demonstrating how data-driven risk assessment tools can support managerial decision-making in cybersecurity investment. Practically, the findings provide IT managers with a structured framework for allocating cybersecurity resources more effectively in the face of increasing digital uncertainty.
cybersecurity, cyber risk management, cybersecurity cost, cybersecurity measures, firewall, intrusion detection systems, cyber-attacks, IT security.
Digital Maturity and Change Management Effectiveness in Global Supply Chain Operations: An Empirical Investigation of International Businesses
The accelerated adoption of digital technologies in global supply chains demands sophisticated change management approaches to ensure successful implementation. This research examines the relationship between organizational digital maturity and change management effectiveness across international supply chain operations. Employing a mixed-methods design, I collected survey data from 217 supply chain professionals spanning four continents, complemented by 25 in-depth interviews and four organizational case studies. Structural equation modeling reveals that digital maturity significantly predicts change management effectiveness (β = 0.68, p < 0.001), with cultural readiness serving as a critical moderating factor. Results identify resistance to change (73%), skill deficiencies (65%), and cultural barriers (58%) as primary implementation obstacles. The study contributes a validated five phase framework for managing digital transformation in culturally diverse contexts. Findings suggest organizations must balance technological investment with organizational capability development, emphasizing phased implementation and cultural adaptation strategies. This research advances theoretical understanding of digital transformation while providing actionable guidance for practitioners navigating complex organizational change in international business environments.
digital maturity, change management, global supply chains, organizational transformation, international business, supply chain digitalization
Management Transformation and Development Path of China's New Quality Productive Forces Driven by Artificial Intelligence
New Quality Productive Forces refer to a productive form dominated by technological innovation. As a strategic technology leading the new round of technological revolution, artificial intelligence became the core engine driving the development of New Quality Productive Forces by empowering production factors, restructuring production processes, and fostering emerging business formats. Based on panel data of 2012-2022 from 30 provinces in China, the research attempts to explore the intrinsic relationship between artificial intelligence and New Quality Productive Forces in China by means of direct effect and mediating effect. The main conclusions are following. The first, Artificial intelligence significantly promotes the New Quality Productive Forces in China. The second, scientific technology innovation plays a significant mediating role between artificial intelligence and the New Quality Productive Forces in China. The study aims to clarify the mechanism of action between the two and provide theoretical reference and practical guidance for effectively utilizing artificial intelligence to cultivate New Quality Productive Forces.
Artificial Intelligence, New Quality Productive Forces, Scientific Technology Innovation, Management Transformation
Evaluation of the Organizational Unit Restructuring Process in the Financial Services Sector
The restructuring process often encounters challenges, such as employee resistance to change, which can lead to decreased productivity. Additionally, aligning new organizational structures with existing business goals can be complex and time-consuming. Communication issues may also arise, leading to misunderstandings and confusion regarding new roles and responsibilities. This study aims to provide recommendations for improving the restructuring process of organizational units in the financial services sector. The research employed multiple methodological approaches, including scientific literature analysis, expert evaluation, in-depth interviews, process analysis and modeling, and case study analysis, to examine the theoretical aspects of restructuring methods and investigate existing organizational restructuring processes in financial institutions. Based on empirical research results, an enhanced restructuring process for financial services organizations was developed to address critical deficiencies in the previous approach, where teams operated in isolation from each other and from clients, changes required complete start-to-finish implementation, prioritization was conducted subjectively, and defect resolution interrupted the entire product development process. The improved process, based on SAFe or LeSS methodologies depending on the product type, integrates teams, planning, prioritization, and customer feedback into a more cohesive system that enables a faster response to required changes and emerging defects, while slowing rather than interrupting product development. This enhanced approach results in more efficient product development and clearer roles, responsibilities, and support functions for multifunctional product development teams.
financial services, restructuring process, product development process.
Cybersecurity Prevention Analysis and Guidelines in the Banking Sector
The banking sector faces escalating cyber threats, with attacks growing in sophistication and frequency; yet many institutions rely on outdated, reactive measures. Despite heavy investments in technology, human factors and fragmented collaboration frameworks remain critical vulnerabilities. Current prevention strategies often lack a holistic integration of technical, organizational, and regulatory dimensions, leaving systemic gaps that are exploitable by attackers. Moreover, the absence of sectorwide standards for measuring the effectiveness of prevention complicates risk prioritization. This study addresses these challenges by empirically validating key success factors and translating them into actionable management practices. The aim of this study is to identify and evaluate the factors that have the greatest impact on cybersecurity prevention in the banking sector. To achieve this objective, the following research tasks were set: to analyze the factors of cyber security prevention and theoretical aspects of assessment; to determine the influence of cyber security factors by applying expert assessment among banking sector specialists; to evaluate the factors of cyber security that increase and decrease cyber security in the banking sector; to provide recommendations to banks on how to effectively manage the identified cyber security prevention measures. This study employed research methods including scientific literature analysis, expert evaluation, and in-depth interviews. Based on the results of the empirical study, expert evaluation showed that the impact of cybersecurity factors in the banking sector is significant, with particular attention paid to software vulnerability management, employee training, and network segmentation. After assessing cybersecurity factors, factors that both increase and decrease the cybersecurity of banks were identified, with particular emphasis on the human factor and cooperation with state institutions. Based on the study's results, recommendations were made to banks on how to effectively manage the identified cybersecurity prevention factors to strengthen their resilience against cyber threats.
cyber security, prevention, cyber security prevention measures, banking sector.
Implementation of Artificial Intelligence in Human Resource Management: A Case Study Approach
Abstract. Artificial Intelligence (AI) can streamline processes, enhance decision-making, and improve overall efficiency, allowing HR to become more strategic and data-driven. This study investigates the application of AI in HRM and its implications for enhancing HR practices. The research explores various AI technologies, including machine learning, natural language processing, and predictive analytics, and their integration into core HR functions such as recruitment, performance evaluation, training, and employee engagement. The study reviews and analyzes case studies involving Siemens and Amazon. These case studies highlight the benefits and challenges of AI adoption in HRM. Findings reveal that while AI can improve efficiency, reduce bias, and support strategic decision-making, ethical considerations and data privacy concerns remain critical. The study concludes by emphasizing the need for responsible AI implementation to maximize organizational value and foster sustainable human capital development.
Artificial Intelligence, Human Resources Management, Talent Acquisition, Recruitment, Human Resources Development.
Improving the Quality Management Process of Specialists' Consultations in the Healthcare Sector
The relevance and challenges of ensuring effective quality management in specialist-to-specialist business medical consultations are particularly evident in the healthcare sector. There is currently a significant gap in the standardized decision-making logic, structured communication processes, and comprehensive digital support tools. This study aims to provide recommendations for improving the quality management process of specialist-to-specialist business consultations by integrating principles of digital management and artificial intelligence (AI). To achieve this aim, the study sets out three key objectives: to analyze scientific literature regarding the principles of quality management and the potential applications of AI in the healthcare sector; to examine the existing structure of business consultation processes in an organization, highlighting critical aspects of quality management through expert evaluation, and assessing the opportunities and impact of integrating AI tools; and to propose an updated model for managing the quality of business consultations based on the study's findings. The study employs methods such as scientific literature analysis, expert evaluations, and in-depth interviews. The findings led to the formulation of an updated consultation process model integrating AI tools into four primary areas: complexity classification, treatment plan formation, corrections analysis, and feedback processing. One significant change proposed is eliminating the two-tier decisionmaking approach, where a consultant independently assesses their competence. Instead, an automated system employing an AI classifier is introduced, assigning consultation cases based on complexity level and consultant availability. This approach not only enhances the consistency of decision-making but also improves the efficiency of consultations and the management of corrections throughout the entire process.
Business consultation, quality management, processes reorganization, healthcare sector.
Analysis of Digital Technology Application Opportunities in Quality Assurance Processes of the Energy Sector Projects
This research is exceptionally significant for the contemporary energy sector, which constantly faces high-quality requirements and rapid digital transformation. Society's increasing reliance on a reliable electricity supply directly links construction quality to infrastructure longevity and operational costs. However, a major obstacle lies in the insufficient integration of advanced digital technologies, such as the Internet of Things and artificial intelligence, into the quality assurance processes of new energy construction projects. This gap leads not only to a higher risk of defects but also limits effective process optimization, potentially harming long-term grid reliability. This study aims to examine how digital technologies can be integrated into quality assurance processes for new energy construction projects to improve quality control and ensure reliable equipment operation. To achieve this aim, the research tasks included analyzing current quality assurance processes in energy construction projects, evaluating their efficiency, challenges, and areas for improvement; identifying and describing potential digital technologies applicable to new construction project quality assurance, based on expert evaluation; assessing the potential benefits and application possibilities of digital technologies, proposing a process map for integrating digital technologies during new construction projects and subsequent equipment operation. This study employed research methods, including scientific literature analysis, expert evaluation, in-depth interviews, process analysis, and modeling. Based on the empirical research results, a process transformation map for creating a new information technology service was proposed, visually illustrating how and when digital tools (e.g., BIM, IoT sensors, AI analysis) will be implemented and used at each stage of a construction project (from planning to operation). This map highlights how specific digital solutions will contribute to defect prevention, process acceleration, and a longer equipment lifecycle. A continuous monitoring and evaluation system was established to track the impact of digitalization on quality indicators and to adjust the strategy flexibly. Such solutions will ensure the reliability of electricity grids, allow for defect detection earlier than when they manifest as failures, and enable cost savings during operation.
digital technologies, project quality assurance, project quality assurance processes, process management, energy sector.
An Empirical Analysis on the Influence of On-Time Delivery on Generation Z Customer Loyalty Mediated by Payment Methods
One of the reasons why consumers are loyal to a business or product is punctuality. Therefore, this study will investigate whether on-time payment affects customer loyalty. This study will use a quantitative approach. The Partial Least Square Path Model (PLS-SEM) is used for data analysis. Generation Z was convicted in the province of North Sumatra. The results show that Gen Z customers at the Lazada Store in North Sumatra Province greatly benefit from payment options and on-time delivery, both of which have a positive and significant impact on customer loyalty.
On-Time Delivery, Customer Loyalty, Generation Z Payment Methods
Application of Artificial Intelligence in the Health Insurance Claims Management Process
The increasing number of business clients and insured individuals in the insurance sector is leading to a growing volume of health insurance claims, necessitating more efficient administration processes. One solution is to automate these processes using artificial intelligence (AI) tools, which can handle repetitive tasks, reduce the likelihood of errors, and ultimately increase customer satisfaction. AI tools enhance efficiency by streamlining workflows, enabling employees to focus on more complex and strategic tasks. They can process large volumes of data quickly and accurately, which reduces the time spent on manual data entry and analysis. This increased efficiency not only improves service quality but also enables companies to attract more business clients. The primary issue identified is the rising demand for employees and increasing administrative costs, prompting a search for innovative solutions. The purpose of this study is to propose suggestions on how the application of artificial intelligence tools in the health insurance claims administration process would help automate processes, increase the efficiency of the claims administration structural unit, and encourage new sales in companies operating in the insurance sector. To achieve the goal, the following research tasks were set: to review how the scientific literature analyzes the application of AI tools in the operational processes of an insurance company; using expert assessment, to find out which claims administration processes can be automated by applying AI tools, and what impact this would have on the claims administration process and the attraction of new business customers; to evaluate alternatives for how the application of AI tools in the health claims administration process would help increase sales to new business customers. The study includes a literature review, expert assessment, and evaluation of alternatives. Based on the empirical research results, it was found that AI tools create the prerequisites for reducing the process time from a few minutes to seconds, making it possible to settle a larger number of claims within the same time unit. Accordingly, the insurance company can attract more new customers and ensure that customers receive a better experience in administering their claims and communicating.
artificial intelligence (AI), AI tools, health insurance, health insurance claims management process, process management.
Evaluation of Maintenance Processes in Manufacturing Companies
Digitalization is becoming a crucial factor in enhancing the efficiency of maintenance processes in manufacturing companies. However, many organizations still rely on manual work practices. As a result, problems arise such as the lack of integrated systems, increased likelihood of equipment downtime, and rising operational costs. Redesigning business processes and applying advanced technologies helps minimize disruptions and enables faster and more informed decision-making. Therefore, it is increasingly important to analyze digitalization models and assess their applicability in real operational settings. The aim of this study is to present a digitalization model for maintenance processes in manufacturing companies that would help reduce equipment downtime and improve operational efficiency. To achieve this goal, the following research objectives were formulated: to analyze the types of digitalization models and tools used in manufacturing maintenance processes, to evaluate the implementation potential of a digitalization model through expert assessments and in-depth interviews, and to provide recommendations for improving current maintenance processes based on digitalization principles and empirical findings. The study applied methods such as scientific literature analysis, expert evaluation, in-depth interviews, process analysis, and modeling. The results revealed that standard maintenance processes are largely performed manually, with information transferred verbally or recorded across separate systems, often using Excel spreadsheets or physical logbooks. Such practices increase the risk of errors, slow down information processing, and hinder effective management. The proposed model integrates solutions such as artificial intelligence, Internet of Things (IoT) sensors, and a computerized maintenance management system (CMMS). It is recommended to implement this model gradually, beginning with the most vulnerable process areas such as planning, data recording, and task assignment. A step-by-step transition from the standard to the improved process would enable smoother integration into the company's operations and enhance the efficiency of maintenance processes.
maintenance in manufacturing companies, maintenance processes, process management, process reorganization, manufacturing companies.
Analyzing Taxpayer’s Perceived Usefulness, Security, and Ease of Use on Adopting E-Invoice in Value-Added Tax Reporting
It’s essential to reform the government system to modernize tax systems with assist of information communication technology implementation. The Nepal government has actively promoted einvoicing for value-added tax reporting, beginning with budget ordinances in 2075 B.S. This move aims to streamline tax processes and improve revenue collection, with ongoing government plan policies designed to refine the system further. The research examines the significance of taxpayers’ perception for the effective implementation of e-invoice in the Nepalese context. Specifically, it analyzes taxpayer perspectives on the utility, security, and usability of e-invoicing as drivers of early adoption within the VAT reporting framework. This research used descriptive and causal research designs. From the Rupandehi district, primary data with 174 taxpayers was surveyed using a non probability convenience sampling. The analysis reveals a significant association between taxpayers’ perceived usefulness, security, and ease of use and their inclination towards e-invoice adoption. As per the findings there is necessity of concentrating on taxpayer perceptions to properly employ information communication technology implementation solutions such as e-invoicing for increased tax compliance and overall tax system modernization in Nepal and other contexts.
Digital government, e-invoice, electronic invoicing, taxpayer perception, technology adoption
Digital Pathways to Sustainability: Empirical Evidence of Tourism Industry Transformation in the Industry 5.0 Era
This research examined the interrelationships between digital transformation, innovative change, and sustainable growth within the Industry 5.0 paradigm in the tourism industry. As the tourism sector transitioned from digitalization to more human-centric, sustainable approaches following the COVID19 pandemic, this study addressed a critical research gap by empirically validating these relationships. A quantitative approach was employed, with data collected from 122 managers across various tourism subsectors using validated measurement scales for digital transformation, innovative change, and sustainable growth. Structural equation modeling revealed that digital transformation had a strong positive impact on innovative change and a moderate direct effect on sustainable growth, while innovative change significantly influenced sustainable growth. The model explained substantial variance in both innovative change and sustainable growth. Additionally, innovative change partially mediated the relationship between digital transformation and sustainable growth. These findings validated theoretical frameworks proposing that digital technologies drive sustainability outcomes through enabling innovation. The research contributed valuable insights for tourism managers and policymakers regarding strategic approaches to digital transformation and innovation in pursuit of sustainable growth in the Industry 5.0 era.
Digital transformation; Sustainable tourism; Industry 5.0; Innovation management; Tourism resilience.
Blockchain Technology in the Digital Era: Global Research Trends and Financial Innovation
Blockchain technology has introduced significant enhancements in financial services, providing distinctive methods to increase efficiency, security, and transparency in this sector. This study aims to conduct a bibliometric analysis of research on blockchain technology in financial services utilizing data from the Dimensions.ai platform. One hundred twenty-two publications were analyzed, with the most cited paper receiving 420 citations, indicating an increasing academic interest in this domain. The data were processed and analyzed using VOSviewer software, emphasizing keyword cooccurrence, citation patterns, bibliographic coupling, co-citation analysis, and collaboration networks among authors and nations. The report underscores blockchain's transformative potential in areas such as payment systems, fraud prevention, and smart contracts, while also recognizing persistent hurdles, including scalability and regulatory issues. The findings indicate a concentration of research activities in prominent nations such as the United States and China, alongside substantial contributions from prominent authors. The results illustrate the current state of research, identify critical gaps and offer valuable insights into future potential for the use of blockchain technology in financial services. This study holds important implications for researchers, policymakers, and financial service providers by providing a structured overview of this rapidly evolving field. It supports the development of more innovative, secure, and customer-centric digital finance solutions. However, the study also acknowledges certain limitations, including regional disparities in research focus and the limited extent of interdisciplinary collaboration. Future research should aim to bridge these gaps by increasing cross-sector collaboration and addressing pressing issues such as data security, privacy concerns, and the challenges posed by evolving regulatory regimes.
Financial Services, Fin-tech, Cryptocurrency, Artificial Intelligence, Banks and Financial Institutions.
The Influence of Organizational Culture on the Performance of the People's Representative Council: Work Stress as an Intervening Variable
This study examines the impact of organizational culture and work stress on employee performance, with a specific focus on the Aceh People's Representative Council. Using a quantitative approach, data was collected through surveys from employees within the organization. The research employs statistical analysis techniques to evaluate the relationships between organizational culture, work stress, and performance. The findings reveal that organizational culture significantly influences work stress, indicating that a well-structured culture can either mitigate or exacerbate workplace stress. However, organizational culture does not have a direct positive effect on employee performance. Instead, work stress plays a mediating role, shaping how employees respond to cultural dynamics and ultimately affecting their performance outcomes. This suggests that reducing workplace stress through effective cultural and managerial strategies is crucial for enhancing overall efficiency and productivity. The study contributes to the understanding of workplace dynamics in government institutions, offering practical insights for policymakers and organizational leaders. By fostering a positive organizational culture, improving stress management practices, and enhancing employee engagement, institutions can create a more conducive work environment that supports high performance. Future research should consider a broader sample across different sectors and incorporate qualitative methods to gain deeper insights into the complex interactions between culture, stress, and employee outcomes.
Organizational Culture, Performance, House of Representatives, Work Stress, Aceh Province
Digitalization Modeling of Production Processes in Paper Packaging Sector Companies
As the production process technologies in the paper packaging industry evolve and improve, new opportunities emerge for companies in this sector to achieve greater efficiency. These include new ways to reduce employee workload, optimize business processes, ensure packaging quality, and improve maintenance procedures for production equipment, among others. Paper packaging manufacturing companies aiming to improve operational efficiency and maintain market leadership while aligning with the goals of the European industrial strategy must focus on new, rapidly developing digitalization technologies for paper packaging production and their effective implementation. Therefore, this study aimed to identify the directions of digitalization in companies' production processes in the paper packaging sector. Research methods, such as a review of scientific studies and expert evaluation (indepth interviews) in the paper packaging sector, were applied in this research. The results showed that experts are confident in the benefits of digitalizing paper packaging production equipment to enhance company efficiency. However, one of the main barriers identified is the lack of funding.
digitalization, production processes, digitalization modeling of production processes, paper packaging sector.
Analysis of Conflict Management Styles and Organisational Performance
This research presents a theoretical review of conflict management styles based on the ThomasKilmann Conflict Management Model and their impact on organizational performance. It examines how each of the five styles—competing, accommodating, avoiding, collaborating, and compromising—affects key performance indicators such as productivity, employee morale, and interpersonal relationships within organizations. By reviewing existing literature, this paper highlights the importance of adapting conflict management strategies to fit different organizations' specific cultural and situational needs. Notably, the discussion focuses on the collaborating and accommodating styles, highlighting how the collaborating style supports effective communication and shared problemsolving while the accommodating style builds relationships through compromise and support. The review indicates that prioritizing these two styles can improve conflict resolution and foster a supportive organizational environment. Additionally, it highlights the need for specific training programs to equip employees with essential skills for managing conflicts effectively, which can eventually enhance overall organizational performance.
conflict, conflict management, conflict management styles, Thomas-Kilmann instrument, organizational performance, key performance indicators.
Women's Role in Advancing Digital Financial Inclusion: The Impact of Digital Awareness, Technology Trust, Curiosity and Motivation and Access to Digital Banking
Human financial involvement and economic activities have been linked for many years, but how we are connecting is interesting. This study examined the role of women in promoting digital financial inclusion in Nepal, with a focus on the effects of digital awareness, technological trust, curiosity and motivation, and access to digital banking on financial inclusion. Using a primary data-structured questionnaire, 384 women from the Rupandehi District used as sample in this study, and study used a positivist, descriptive, and causal-comparative research methodology. The study used descriptive, correlation, and regression analysis methods to analyze data. The study found significant relationships between digital awareness, technology trust, and access to digital banking with financial inclusion, with technology trust as the most essential factor. These findings suggest the need to boost digital literacy and trust in technology as the best plan for increasing women's access to financial services. This study adds to the knowledge of obstacles to financial inclusion and has practical implications for policymakers, financial institutions, and community organizations working to empower women through digital banking. Increasing social justice and more significant economic growth can result from women's financial inclusion, which shows the importance of specific measures that address the unique problems women experience in the digital financial ecosystem.
Banking accessibility, digital economy, digital literacy, inclusion strategies.
Evolution of Online Marketing Communication Tools: Classification, Technological Integration, and Functional Analysis Across Web Generations
Online marketing communication tools (OMCT) have become indispensable in the digital era, enabling businesses to build meaningful customer relationships and achieve competitive advantages. The rapid evolution of web technologies—from Web 1.0 to Web 3.0—has transformed the functionality and application of OMCT, impacting communication strategies in virtual spaces. Despite these advancements, current classifications of OMCT often fail to integrate a comprehensive user-focused perspective, limiting their applicability to modern business contexts. This study examines the system of OMCT and its evolution, addressing the absence of a unified framework that reflects these tools' relevance across customer lifecycle stages and technological foundations. The study aims to develop a classification framework that aligns OMCT with customer interaction patterns and evolving virtual space technologies. Through theoretical analysis, the research identifies key OMCT categories and their implications for enhancing business communication strategies. This systematic approach offers practical insights for optimizing digital engagement and adapting to technological advancements in the evolving digital marketplace.
online marketing communication tools, Web 1.0, Web 2.0, Web 3.0, classification framework, customer lifecycle.
Determinants of Entrepreneurial Readiness: An Empirical Analysis
Preparing for entrepreneurship is crucial for effectively starting new businesses, as it plays a crucial role in stimulating economic growth. This study investigates the primary factors that influence an individual's preparedness for entrepreneurship, with a specific focus on motivation, access to resources, and entrepreneurial aptitude. The research utilizes regression analysis to evaluate the impact of these characteristics on readiness, using a sample size of 345 people. The results emphasize that motivation is a crucial factor in predicting entrepreneurial readiness since people with high levels of motivation are more likely to participate in entrepreneurial endeavors. Access to resources, such as financial and human capital, greatly improves readiness by boosting confidence and decreasing perceived risks. Furthermore, proficiency in problem-solving, innovation, and company management is essential in equipping individuals to address entrepreneurial obstacles. In contrast, the study found that opportunity identification does not have a substantial impact on readiness. These findings provide significant direction for educators, policymakers, and aspiring entrepreneurs, enabling them to create effective strategies and educational programs that tackle these crucial aspects in order to promote entrepreneurial readiness in various settings.
Determinants of Readiness, Entrepreneurial Skills, Motivation, Resource Availability
Copyright (c) 2024 Journal of Management Changes in Digital Era
Mindfulness Practices of Leaders and Its Impact on the Strategic Choices
Psychologically strong human resources are essential for winning competitive advantages. This study examined the relationship between mindfulness practices and strategic decision-making among ethical leaders in human resource management. A positivist, quantitative method is used to assess the influence of techniques such as mindful breathing, mindful technology usage, 3-minute breathing space, mental gym, and daily journaling on strategic decisions (vision formulation, plan design, and execution). Purposive sampling was used to acquire data from 235 Human Resource managers and assistants using a standardized questionnaire. Correlation coefficients reveal strong beneficial links between mindful activities and strategic choices. Regression analysis shows a significant influence of mindful breathing, 3-minute breathing space, and daily writing, suggesting that frequent participation corresponds with more influence on strategic decision-making. Also, there is no significant influence of mindful technology usage, mental gyms, or apps on strategic decisions. This study adds important knowledge to the relationship between mindfulness practices, especially mindful breathing, 3-minute breathing space, and daily journaling, and ethical leaders' ability to make smart and strategic decisions in human resource management. This study suggests that organizations can use techno-supported tools in the workplace to implement mindfulness practices; also, in culture management, organizations should promote mental gym activities.
Decision-making processes, leadership in HR, organizational mindfulness, psychological well-being
The Application of E-recruitment by Job Seekers and the Impact of Perceived Values in Nepal
The traditional job search process has changed with the introduction of e-recruitment platforms, which provide job seekers with increased accessibility and convenience. Determining determinants that impact job searchers' intent to employ e-platforms to improve recruiting procedures and organizational efficacy is important. By analyzing the relationship between usability, performance expectancy, subjective norms, and trustworthiness and measuring their combined influence on job seekers' intentions to use e-recruitment platforms, this study aimed to explore the significant factors influencing job seekers' intention to use online job portals. A quantitative method was used, and 385 job searchers in Nepal were surveyed. The data was analyzed by multiple regression analysis, Pearson correlation analysis, validity and reliability tests, and descriptive statistics. The study found that the intentions of job searchers towards e-recruitment were significantly positively correlated with usability, performance expectancy, subjective norms, and trustworthiness. A regression study showed that these parameters, with performance expectancy having the most influence, significantly impacted job seekers' usage of e-recruitment platforms. While HR managers should concentrate on improving communication methods and investing in employee training to generate a more engaging and userfriendly recruitment process, policymakers should prioritize efforts targeted at improving the accessibility and usability of e-recruitment platforms. Future studies should examine longitudinal and cross-cultural differences in how job seekers see and use e-recruitment platforms to enhance recruiting procedures.
Digital recruitment solutions, human resource strategies, job seeker preferences, recruitment technology, talent acquisition
Exploring Freelancer Satisfaction: Impact of Cultural Norms, Digital Tech, and Government Support in Nepal
Freelancing work and the gig economy are prevalent in today's world. The main objective of this research is to assess how cultural and social norms, digital tech support, and government support factors impact freelancers' career satisfaction. The study takes a quantitative approach, with a structured questionnaire issued to 390 freelancers. The research design employs descriptive and causal-comparative methodologies to examine the correlations between variables. The findings show that all three independent variables significantly influence career satisfaction. Government programs have the greatest impact, highlighting the need for supportive policies. Digital technology and assistance also greatly improve professional satisfaction, demonstrating the importance of good digital tools and platforms. Cultural and social norms have a beneficial but less significant impact. The study argues that politicians should increase government support for freelancers to boost job satisfaction. Investing in digital infrastructure and addressing cultural attitudes of freelancing might help freelancers. The study shows the importance of targeted methods that meet the specific issues and opportunities that freelancers encounter in emerging countries to create a more supportive and happy work environment.
Freelancers, Gig Economy, Supportive Policies, Work Efficiency
A Market-Oriented Study on the Usage Intentions of International Students Towards a Shared Bicycle Platform and Its Optimization Design
The acceleration of globalisation has resulted in a notable increase in the number of international students worldwide. However, international students frequently encounter numerous obstacles when attempting to integrate into the local culture and society. To address this issue, this study presents an innovative mobile application, the "Bicycle Sharing and Cultural Exploration Platform for International Students," which aims to facilitate integration into the local culture and society. The platform offers not only bicycle-sharing services but also facilitates international students' comprehension and engagement with local history, art, customs, and social values through the provision of intelligent route planning and cultural exploration guides. This paper presents a discussion of the design concept, functional features and user experience optimisation of the platform, based on the identified needs of the Chinese international student market. By employing a simple and intuitive interface design, offering multiple languages and reducing advertising, the platform strives to provide an open, inclusive and diverse learning and living environment, facilitate international students' better integration into the local culture and enrich their study abroad experience.
International Students, Bike-sharing Platform, Cultural Exploration, User Experience Optimisation
The Influence of Organizational Culture on The Performance of The People's Representative Council with Work Stress as An Intervening Variable in Aceh Province
Various factors, including organizational culture, often cause unsatisfactory results in institutional performance. So, it is essential to test whether organizational culture factors influence performance. Additionally, this study will investigate whether organizational culture affects the Aceh People's Representative Council's (DPR) effectiveness. Statistical tests and quantitative procedures were applied to obtain data for this study. The study's findings demonstrated that organizational culture did not considerably or favorably impact the Aceh People's Representative Council employees. Workplace stress is positively and significantly affected by organizational culture. Likewise, the Aceh People's Representative Council's performance supports the premise that organizational culture has no appreciable and positive impact on work-related stress. Thus, while organizational culture influences work stress, it has little effect on performance.
Expanding Internet of Things into the New Markets
Internet of Things technologies have emerged as a significant area for practical application and academic investigation in recent years. IoT technologies are revolutionizing the operational frameworks of diverse economic sectors, enhancing efficiency, and creating new economic and social prospects. At the same time, businesses increasingly require prompt, data-driven managerial decisions, which are crucial for identifying new markets and assessing the most promising sectors for growth. However, as IoT technologies rapidly expand, the management field lacks a decision-making tool that would enable successful IoT technology development in new markets. The research object concerns IoT technology development in a new market. The aim of the study is based on the analysis to create a conceptual model for IoT technology development decisions in a new market. The research will involve analyzing scientific and methodological literature, identifying key components, comparing information, grouping, and graphical visualization.
markets entry strategy, Internet of Things, Internet of Things technologies, business development, business technologies management.
Measuring the Impact of Payment Innovations in Sustainable Finance: A Refined Framework for Evaluating ESG, Social Equity, Financial Inclusion, and Efficiency
The increasing focus on sustainable finance has led to a growing demand for tools to assess the environmental, social, and governance (ESG) impact of financial products and services. This article proposes a refined framework, the Payment Sustainability Index (PSI), to measure the sustainability performance of payment innovations. PSI integrates traditional ESG metrics with considerations of social equity, financial inclusion, and efficiency, weighted by their financial significance. This holistic approach allows for a comprehensive evaluation of payment innovations that balances sustainability with economic viability. The article discusses the theoretical foundations of the PSI, drawing on stakeholder theory, the triple bottom line, and impact investing principles. It also details the methodology for calculating the PSI, including the selection of metrics, weighting, and normalisation. The applicability of PSI is demonstrated through case studies of mobile money and blockchain-based supply chain finance. The article concludes by discussing the implications of PSI for fininstitutions, policymakers, and consumers, highlighting its potential to drive innovation, inform regulation, and empower consumers to make more sustainable payment choices.
sustainable finance, payment innovations, ESG, social equity, financial inclusion, efficiency, Payment Sustainability Index (PSI).
Bibliometric Analysis on Product Innovation
This paper examines the idea of product innovation, highlighting the vital role it plays in promoting technical developments, increasing competitiveness, and accelerating economic progress. The article provides the numerous definitions and classifications of innovation put forth by different researchers through a thorough analysis of the literature. The neo-Schumpeterian paradigm is used to analyze the distinction between invention and innovation as well as the classification of innovations based on their nature and impact. Furthermore, the discussion revolves around the importance of the product life cycle in comprehending innovation dynamics. Using the Web of Science (2024) publications database, research trends from 2014 to 2022 are analyzed. Notable contributions from prestigious academic journals show a consistent rise in scholarly interest. This study emphasizes the significance of product innovation in academic research and practical implementation while offering a theoretical framework for comprehending its complex character.
product innovation, strategies of success in innovation, bibliometric analysis, dimensions of product innovation.
Artificial Intelligence in the Mirror of Innovative Changes in the Conditions of a Mobilization Economy
Digitalization of the economy is considered as the most important component of the intellectualization of innovative technical and technological changes in the mobilization economy. It is argued that artificial intelligence exhibits a dichotomous character when it is implemented at various "points" of life in society and business. The aim of this article is to explore the role of digitalization of the economy within the context of the mobilization economy and to investigate the implementation and impact of artificial intelligence (AI) as a tool for managing economic growth. The article seeks to highlight the dichotomous nature of AI when applied across various aspects of society and business within the mobilization economy. Additionally, the article aims to expand the terminology and conceptual framework related to understanding AI's role in driving economic growth in a mobilization economy. Furthermore, the article proposes a model for activating AI within the framework of managing innovative changes, with the goal of ensuring the implementation of various transformations in value chains to enhance the competitiveness of stakeholders and to strengthen the economic sovereignty of the country. Overall, the article aims to contribute to the understanding and effective utilization of AI within the mobilization economy to drive sustainable economic development and competitiveness.
mobilization economy, innovative changes, artificial intelligence, intelligence-producing "phagocytes," "hormones" of artificial intelligence, "cycotins" in the artificial intelligence system, virulence of artificial intelligence, communication multiplier, business competitiveness, economic and technological sovereignty