인공지능을 활용한 데이터 기반 가상 사용자를 활용한 참여적 디자인 연구 - 중국 피트니스 앱 KEEP을 중심으로

Examining the impact of artificial intelligence on employee performance in the digital era: An analysis and future research direction

Digitalization in human resource management helps companies to modernize HR functions and gives them a competitive edge. At the same time, it requires a change in work style and require changes in demand for HR competencies. Study this aims to introduce the phenomenon of digitalization in literature, explore its current benefits and key risks, and analyze the competencies and role of HR professionals. Innovative strategies that can be applied in human resource management (HRM) to enhance organizational performance in the digital era. With rapid changes in technology and the business environment, organizations need to develop innovative approaches in managing their human resources. This research method is a qualitative research method with a descriptive approach. This research operationally examines various sources of literature relevant to the context of the above research. The data taken, identified in the following order: (1) data collection (2) data sorting (3) data analysis (4) conclusion making. As for data analysis, there is a predetermined sequence in accordance with the empirical steps taken, namely as follows: (1) Examination of data (2) suspected data findings, (3) Data confirmation (4) Diagnosis, (5) Action. The results obtained show that HR professionals tend to be a little reluctant to adopt technology the. The results of this research confirm the importance of digitalization in recent years for human resources and increasing demand for digital skills. Every organization should develop its digital strategy to improve productivity. In the present scenario, DHRM is considered a more significant and growing research topic as well as an important topic for a business organization. With the use of DHR practice and through social media, the internet, AI, and other technology organization can maintain their performance and employees' quality standard for the smooth running of the organization. In exploring "Strategic Human Resource Planning in the Era of Digital Transformation" through the Systematic Literature Review method, this research reveals important findings. Technology integration, especially through artificial intelligence, big data analysis and technology platforms, is proven to be a deep foundation in responsive and adaptive HR planning in the era of digital transformation. The success of this planning also depends heavily on the involvement of key stakeholders, particularly upper management and business units, who contribute to the identification of skills relevant to technological change.

This paper discusses the application and advantages of artificial intelligence technology in digital media interactive product design. Firstly, the development background of artificial intelligence technology and its promoting effect on design innovation is introduced, and the application of new technologies, such as generative adversarial networks in art creation and design personalization, is definitely analyzed. It then explores in detail the ability of AI to break traditional constraints in interactive design, innovate design, and optimize user experience, especially in digital media. Finally, the case study of Microsoft Cortana shows the method of classifying and processing user queries by machine learning system and its experimental results. The research of this paper provides the theoretical basis and empirical support for the application of artificial intelligence technology in the future interactive design of digital media and has important academic and practical significance.

Islamic finance has emerged as one of the fastest-growing sectors in the global financial industry, offering ethical, interest-free, and Shariah-compliant alternatives to conventional finance. In recent years, the sector has been significantly impacted by digital transformation, which has reshaped financial services worldwide. The integration of financial technology (fintech), blockchain, artificial intelligence (AI), and digital banking has created new opportunities for Islamic financial institutions, including enhanced financial inclusion, operational efficiency, and greater transparency. However, these technological innovations also present unique Shariah compliance challenges. Questions surrounding the permissibility of cryptocurrencies, the use of blockchain-based smart contracts, and the governance of fintech platforms remain unresolved among Shariah scholars. This paper aims to examine the future of Islamic finance in the era of digital transformation, highlighting both the opportunities and the Shariah challenges. Through a qualitative analysis of existing literature, case studies of Islamic financial institutions, and regulatory developments in countries such as Malaysia, Saudi Arabia, and the United Arab Emirates, the study provides a comprehensive understanding of the evolving landscape. The paper concludes by recommending strategies for aligning digital financial innovation with Shariah principles to ensure sustainable growth in the Islamic finance industry.

In the era of grand digital transformation, where changes werer accelerating based on data-driven technological innovation, education played an important role as a core driving force that leads change and creates value. The 2022 rev. Korean National Curriculum(MoE, 2022b) emphasized digital literacy and AI·SW education as innovations in school education, while also emphasizing customized education that supports learning suited to each student’s characteristics and career. The emphasis on basic digital literacy was clearly an important measure for fostering future society talent, but if the corresponding social and emotional support was lacking, it may be difficult to achieve the essential goal of education, so it can be seen that HTHT education that emphasized interaction with technological development was considered. CASEL’s SEL, which emerged as an educational alternative to problem behaviors in the midst of a social crisis, was being applied in various ways for the purpose of pursuing holistic development. Thus, this study proposed ‘A-SEL’ applicable to art departments as customized high-touch education in the era of digital transformation, and aims to assess its potential as customized education that supports students’ socio-emotional well-being, including their character.

Context: The health insurance sales network is one of the essential pillars of the health insurance industry, and redefining this role can significantly impact the performance and effectiveness of health insurance companies. The main objective of this research is to identify and analyze the challenges and opportunities involved in redefining the role of the health insurance sales network in the era of digital transformation using artificial intelligence (AI). Methodes: To explore the principles of using AI for managing the health insurance sales network, a scoping review technique was employed. A comprehensive search strategy was implemented in the PubMed, Scopus, and Google Scholar databases until the end of August 2024, using keywords related to AI, health insurance, and sales networks. The inclusion criteria encompassed peer-reviewed articles in English that focused on AI applications in health insurance sales, while the exclusion criteria involved studies not directly related to health insurance or AI. The inclusion criteria required peer-reviewed, fully identified studies with abstracts and full texts published by August 2024. The exclusion criteria included unavailable full texts, irrelevant or duplicate articles, and low-quality content. The study selection process followed PRISMA guidelines, including an initial screening of titles and abstracts, followed by a full-text review. A flow diagram illustrating the selection process is provided in the full text. Results: The results were categorized into seven main areas: The application of AI in identifying potential health insurance customers, automation of health risk assessment, targeting new health insurance products, segmentation of policyholders, predicting customer churn, estimating customer lifetime value (CLV), and predicting healthcare costs. The analysis also considered the limitations of the included studies, such as potential biases in AI algorithms and challenges related to data privacy. Conclusions: The findings indicate that AI, in addition to increasing efficiency and reducing costs, enhances relationships between health insurance companies and policyholders. Given the specific complexities of medical data and the need for personalized solutions in health insurance, AI can play a crucial role in the digital transformation of this industry. Therefore, investing in AI technologies is essential for health insurance companies to maintain leadership in today's competitive market and provide higher-quality healthcare services to policyholders.

Purpose This study aims to investigate the nexus between natural resource rent and financial development, considering artificial intelligence (AI) as a moderator across 36 countries for the period from 2017 to 2023. Furthermore, this study categorises 36 countries into Middle Eastern and non-Middle Eastern countries based on their significant reliance on natural resources. This classification enables an examination of the variations in the relationship between natural resource rent and financial development. Design/methodology/approach This study applies both static and dynamic panel data models. Specifically, pooled ordinary least squares with cross-sectional weights, random-effects models, feasible generalised least squares and system generalised method of moments panel data models are used to achieve robust results. Findings The findings from both static and dynamic panel data models indicate that natural resource rents inhibit financial development, supporting the natural resource curse hypothesis in the financial sector. Moreover, AI has a positive impact on financial development and reverses the negative impact of natural resource rent. Similar results are obtained for non-Middle Eastern countries. However, AI fails to offset the negative impact of natural resource rent on financial development in the case of Middle Eastern countries. Practical implications The findings imply that reliance solely on natural resource rents is inadequate for fostering financial development. It is suggested that policymakers, especially in resource-rich countries, avoid overreliance on resource rents and instead prioritise the integration of AI into their financial systems. Originality/value In the era of digital transformation, AI has emerged as a key driver of countries’ financial development by improving the use of natural resources. Amidst the rapid digital transformation, the extent to which AI alters the finance–resource nexus remains unclear. While natural resources significantly influence financial development in resource-rich Middle Eastern economies, studies often overlook the moderating role of AI. Furthermore, there is limited understanding regarding whether this moderating effect varies between Middle Eastern and non-Middle Eastern countries. Hence, this study fills this research gap.

In the era of digital transformation, Artificial Intelligence (AI) has emerged as a transformative force in higher education, reshaping how students learn, interact, and prepare for the world of work. This study examined the influence of AI usage on the multidimensional construct of graduate capital (GC) among higher education students in Ghana. Adopting a descriptive survey design, data were collected from 635 students who had prior experience with AI technologies in their academic activities. A purposive sampling technique was used to ensure that participants had meaningful engagement with AI tools. The study employed Partial Least Squares Structural Equation Modelling (PLS‐SEM) using SmartPLS 4 software to analyse the data. Measurement model assessment confirmed strong reliability and validity across constructs, while the structural model revealed that AI usage had a significant and positive influence on all five dimensions of GC: human, social, cultural, identity, and psychological. These findings suggest that integrating AI into higher education learning environments can enhance students' employability attributes, human capital, and psychological readiness for professional life. The study contributes to the growing discourse on technology‐enhanced learning by positioning AI as a catalyst for holistic graduate development and future workforce adaptability. Implications for educational policy and curriculum design are discussed to guide universities in fostering AI‐driven graduate competencies.

In today's rapidly evolving business landscape, the strategic integration of Artificial Intelligence (AI) and Electronic Human Resource Management (EHRM) has emerged as a significant area of research and practice in the field of human resource management (HRM). This systematic study aims to explore and analyze the strategic role of AI and the power of EHRM in fostering innovative approaches to HRM. The study begins by reviewing the existing literature on AI and EHRM, highlighting their potential benefits and challenges in enhancing HRM practices. It delves into the various strategic roles that AI can play, such as recruitment and selection, performance management, employee engagement, learning and development, and talent analytics. Furthermore, it examines the transformative capabilities of EHRM, including automation of administrative tasks, real-time data analytics, personalized employee experiences, and improved decision-making. The study concludes by emphasizing the transformative potential of AI and EHRM in enabling innovative HRM practices. It highlights the importance of strategic alignment, organizational readiness, and continuous learning to fully capitalize on the benefits of these technologies. By embracing AI and leveraging EHRM systems, organizations can optimize HR processes, enhance decision-making, improve employee experiences, and ultimately drive organizational success in the era of digital transformation.

Organizations face a striking disconnect between their enthusiasm for artificial intelligence (AI) and their investment in preparing employees to leverage it effectively. While 63% of organizations anticipate high impact from AI-enabled predictive analytics, only 2% have implemented these capabilities, and AI-specific upskilling efforts have declined year-over-year despite accelerating adoption. This article examines the organizational and human consequences of this readiness gap, drawing on survey data from 1,626 HR professionals and organizational research. The analysis reveals that organizations effective at technology enablement demonstrate 1.8 times higher innovation performance, yet only 38% excel at adoption practices. Evidence-based responses include strategic HR-IT collaboration frameworks, learning-in-the-flow-of-work interventions, targeted capability-building programs, distributed leadership accountability, and formal AI governance structures. Long-term organizational resilience requires embedding continuous learning cultures, developing technology-fluent leadership pipelines, and establishing human-centric AI implementation principles. Organizations that align AI strategy with workforce development transform technology enthusiasm into sustainable competitive advantage while those that neglect the human dimension of digital transformation risk failed implementations, diminished returns, and persistent capability gaps.

In the era of digital transformation, artificial intelligence (AI) has become important innovation in the world of education, including in the evaluation of learning Islamic Religious Education. This research aims to examine the optimization the application of AI in Islamic Religious Education evaluation, the challenges faced, and the future potential the future. With a qualitative approach based on literature review, this research analyzing literature related to the application of AI in the context of Islamic education. Results The study shows that AI is capable of enhancing the effectiveness of evaluating cognitive aspects. Cognitive through digital quizzes and real-time data analysis systems, as well as starting reaching affective and psychomotor aspects with technology such as chatbots, facial recognition, and virtual reality. However, a number of challenges also arise, among others, the limitations of AI in capturing the spiritual dimension, the potential for algorithmic bias algorithmic, ethical and data privacy issues, as well as teacher readiness and infrastructure. In the future, AI has great potential to become a comprehensive and personal, if the application of AI in learning and evaluation can be supervised in an ethical and still making teachers the central figure in the formation of values and character. This research recommends a synergy between technology developers, educators, and Sharia experts in developing a human-centered AI-based evaluation system and in accordance with Islamic values.

In the era of digital transformation, Artificial Intelligence (AI) is reshaping supply chain operations through predictive analytics, real-time decision-making, automation, and enhanced customer responsiveness. However, the integration of AI into supply chain innovation requires not only technological readiness but also strategic alignment with Human Resource Management (HRM) practices. This paper proposes a conceptual framework that explores the interlinkages between AI-driven supply chain innovation and HRM integration. Drawing upon multidisciplinary literature in supply chain management, AI, and strategic HRM, the study outlines how HRM can facilitate organizational agility, workforce reskilling, and talent development to support AI implementation in supply chains. The paper identifies key enablers and barriers, highlights the role of HR in change management, and offers recommendations for fostering a collaborative environment that supports technological innovation. By bridging the gap between technological advancement and human capability, this framework aims to guide practitioners and researchers in designing sustainable, AI-powered supply chains with a robust human capital foundation. The findings have significant implications for HR leaders, supply chain strategists, and policymakers involved in the digital transformation journey.

In an increasingly complex and data-driven business environment, corporations must leverage advanced analytics to refine strategic planning and decisionmaking.AI-driven forecasting, optimization, and data insights have emerged as critical tools for enhancing corporate agility, risk management, and competitive advantage.Traditional strategic planning methods often rely on historical trends and static models, which fail to account for dynamic market conditions, emerging risks, and shifting consumer behaviors.By integrating artificial intelligence (AI), organizations can harness predictive analytics, real-time optimization, and deep learning-driven insights to improve decision accuracy and operational efficiency.AI-driven forecasting employs machine learning algorithms to analyze vast datasets, identifying patterns and correlations that enable precise demand forecasting, financial modeling, and risk assessment.Optimization techniques, such as reinforcement learning and prescriptive analytics, assist businesses in resource allocation, supply chain management, and investment strategies, ensuring efficiency and resilience in volatile environments.Moreover, AI-enhanced data insights extract meaningful business intelligence from unstructured data sources, facilitating adaptive strategic planning and informed executive decision-making.This study examines the role of AI in corporate strategy, illustrating its impact on long-term planning, scenario analysis, and performance benchmarking.Through case studies across industries, we explore how AI-powered decision support systems contribute to more agile, data-driven organizations.Additionally, we address ethical considerations, governance challenges, and integration complexities associated with AI adoption.By leveraging AI-driven forecasting, optimization, and data insights, corporations can achieve sustainable growth, enhance market positioning, and future-proof strategic initiatives in an era of digital transformation.

Advances in artificial intelligence (AI) technology are increasingly rapid and have great potential to bring significant change in various sectors. However, the challenges faced are limited to technological development and the legal and ethical aspects of its implementation. This research aims to analyze the existing legal framework related to the application of Pancasila-based artificial intelligence technology to minimize risks and optimize benefits to achieve the vision of Indonesia Emas 2045. This research uses descriptive qualitative research methods, involving a comprehensive literature review of legal documents, scholarly articles, and case studies. The data collection technique in this research is literature study. The collected data is then analyzed through three stages: data reduction, data presentation, and conclusion drawing. The research results show that the legal framework for implementing AI technology based on Pancasila is an essential initiative in responding to challenges and opportunities in the era of digital transformation. By leveraging the demographic bonus, the vision of Indonesia Emas 2045 can be achieved. The legal framework that incorporates Pancasila values as a moral and ethical foundation aims to ensure that the use of AI not only positively impacts society but also minimizes potential risks. This study highlights the importance of aligning AI development with national values to foster sustainable and ethical technological advancement.

The rapid advancement of artificial intelligence (AI) technologies has significantly reshaped educational systems and learning environments worldwide. In particular, the integration of AI into language education has created new opportunities for improving learning efficiency, enhancing personalized instruction, and facilitating interactive communication environments. In the context of globalization and international talent development, the ability to communicate effectively in English has become an essential competence for participating in global economic, cultural, and technological exchanges. However, traditional language education models often rely on teacher-centered instruction and standardized assessments, which may not fully address the diverse learning needs of students or provide sufficient opportunities for authentic communication practice. This study explores the role of artificial intelligence in empowering the development of English competence for international talents. Drawing upon theories of technology-enhanced learning, intelligent tutoring systems, and global competence development, the paper proposes a conceptual framework that illustrates how AI technologies can support language learning through multiple application scenarios. These scenarios include intelligent language tutoring systems, AI-mediated communication environments, automated language assessment systems, and data-driven learning analytics. Based on these application scenarios, the study further proposes an AI-empowered educational model that integrates artificial intelligence technologies with innovative pedagogical approaches to support the cultivation of international talents. The model emphasizes personalized learning pathways, adaptive instruction, and global communication platforms supported by AI systems. The study contributes to theoretical discussions on AI-supported language education and provides practical insights for cultivating internationally competitive talents in the era of digital transformation.