Earticle

This study proposes a prioritization framework for digital transformation (DX) projects in energy public enterprises, which must balance public value and profitability. Grounded in Freeman’s stakeholder theory, it identifies three strategic objectives: core business value creation, social value realization, and future value acquisition. From these, nine strategies and 19 projects were derived. A three-level Analytic Hierarchy Process (AHP) was used to evaluate the relative importance of each project, with input from 32 field experts. The findings highlight “core business value creation” as the top priority. High-ranking projects include developing generative AI solutions, integrating carbon and renewable energy management, and establishing disaster response systems. The study emphasizes the importance of stakeholder-centered design, safety-focused approaches, and AI-driven innovation. Practical implications include phased AI adoption, ESG-digital integration, and early investment in critical long-term initiatives. This framework supports systematic and strategic decision-making in DX for public energy enterprises.

본 연구는 사주 서비스의 디지털 트랜스포메이션 과정에서 나타나는 특징을 도출하고, MZ세 대에 적합한 게임 요소를 제안하는 것을 목적으로 한다. COVID-19 팬데믹 이후 MZ세대의 디지털 소비 증가에 따라, 오프라인 사주 서비스의 온라인화 과정에서 발생한 변화를 분석하 였다. 요소 분석과 사례 연구를 통해 디지털 전환 과정을 정리하고, MZ세대의 참여를 유도할 핵심 게임 요소를 구체적으로 제안하였다. 연구에서 제안한 게임 요소는 장소성, 캐릭터성, 기 술성의 세 가지 축을 중심으로 정의된다. 장소성은 팝업스토어와 같은 특정 시간과 장소에서 의 이벤트로 몰입을 강화한다. 캐릭터성은 매력적이고 신뢰를 주는 디지털 캐릭터로 사용자와 의 상호작용을 풍부하게 한다. 기술성은 AI, 버추얼 휴먼, 예약 시스템 등 개인화된 기술을 통 해 사용자 경험을 극대화한다.이 연구는 사주 서비스가 단순 운세 제공을 넘어, 사용자가 스스 로를 탐구하고 안정감을 찾는 경험으로 자리 잡을 가능성을 보여준다.

The purpose of this study is to explore and propose game elements that cater to the preferences of Generation MZ in the process of digital transformation (DX) of a traditional Korean saju service. As the digital consumption of Generation MZ is increasing after the COVID-19 pandemic, the Saju service is not only digitized, but also requires new forms of interaction and experience. This study analyzes the process of digital transformation of existing offline social services through an element analysis and case study of the process of online social services, and identifies and proposes core game elements that can engage Generation MZ. This study defines game elements centered on three main axes: place, character, and technology. Place enhances user immersion through events that can only be experienced at a specific time and place, such as pop-up stores, while character enriches user interaction by utilizing engaging and trustworthy digital characters. Finally, technology is the application of personalized digital technologies such as AI, virtual humans, and reservation systems to maximize the user experience. The game elements proposed in this study demonstrate the potential for fortune-telling services to go beyond providing horoscopes and become an experience for users to explore themselves and find inner peace. In addition, these game elements suggesta directionfor the development of innovative digital contentwith the potential for global diffusion by combining traditional principles of fortune-telling with modern technology.

Digital Transformation (DX) of small and medium-sized enterprises (SMEs) is to secure a competitive advantage by converting business procedures, products, services, and business models themselves with digital technology. Therefore, the purpose of this study is to help DX proceed in the field by creating and presenting an Information Strategy Planning (ISP) module, a consulting methodology necessary for companies, corporate managers, and consultants who will build digital transformation. By explaining the terminology in the order of research and organizing the preceding studies, the results of [Indicator for evaluating the digital transformation capability of SMEs] were reconstructed in PDCA order Finally, as an ISP module, Plan was organized into DX management field, Do was organized into DX innovation field, Check was organized into DX technology execution field, and Act was organized into DX education collaboration field. In conclusion, in the field of DX management, detailed indicators were derived for infrastructure, such as systems, readiness, and management strategies that promote DX, as well as organizational management of division of work, and customer management. Second, in the field of DX innovation, business models, intelligent product development, and service proposals were derived to present the vision of this project. Third, the implementation of DX technology was a detailed action plan, and smart factories, security, and data management were derived through DX. Fourth, education and collaboration were derived as a continuous method for DX education collaboration.

본 연구는 디지털 전환(DX)이 기업 경영 성과에 미치는 영향과 이 관계에서 빅데이터 품질관리와 디지털 전환 (DX) 수준을 조절효과로 실증적으로 분석하였다. 현재 수많은 기업들이 디지털 전환 전략 수립 및 구축 활동을 하고 있다. 하지만 기업이 보유하고 있는 고객 데이터 품질 및 디지털 전환(DX) 수준이 기업 경영 성과에 미치는 영향에 대한 연구와 논의는 부족하였다. 본 연구에서는 고객지향성, 개인 혁신성, 경영층 지원, 경영 환경, 고객 빅데이터 품질 관리 등 디지털 전환(DX) 요인이 업무 효율화와 기업 경영 성과에 유의한 영향을 미치는지 100명의 임직원 설문을 통해 조사 하였고, 가설을 설정하여 검증하였다. 연구결과 고객 지향성, 경영층 지원, 고객 빅데이터 품질 관리는 기업 경영 성과에 유의한 영향을 미쳤다.

This study empirically analyzed the impact of digital transformation (DX) on corporate management performance and the level of big data quality management and digital transformation (DX) as a moderating effect in this relationship. Currently, numerous companies are establishing and building digital transformation strategies. However, research and discussion on the impact of customer data quality and digital transformation (DX) levels held by companies on corporate management performance were insufficient.In this study, whether digital transformation (DX) factors such as customer orientation, personal innovation, management support, management environment, and customer big data quality management had a significant effect on work efficiency and corporate management performance was investigated through a questionnaire of 100 executives and employees, and hypotheses were established and verified. As a result of the study, customer orientation, management support, and customer big data quality management had a significant effect on corporate management performance.

2004년 스웨덴의 에릭 스톨터만(Erik Stolterman) 교수가 최초로 ‘IT 기술을 활용해 인간의 삶이 보다 더 나은 방향으로 개선되는 현상’을 디지털 전환(Digital Transformation, DX)이라고 언급하였으며, 기업 측면의 디지털 전환을 살펴보면 디지털 기술을 활용해 비즈니스를 개선하고 사업영역이 확장·변화되는 것이 다. 즉 4차 산업혁명의 핵심은 개인과 기업의 모든 영역에서 디지털 전환으로 볼 수 있다. 기업의 디지털 전환은 상황과 판단에 따라 기회도 위협도 될 수 있는 상황에 냉철하고 올바른 인식을 갖 고 바람직한 대응을 해야 한다. MICE 산업도 예외는 아니다. 2010년 이후 MICE 산업은 디지털 기술과 결 합되며 저성장 국면에 진입했던 산업의 혁신적 성장 원동력이 되었고, MICE 산업의 성장과 혁신을 주도하 고 있다. 특히 코로나 19 상황에서 언텍트(Untact)와 하이브리드 형태의 행사가 다수 개최되며 MICE기업 의 디지털 전환은 가속화되었다. 본 연구는 경영성과와 효율성을 높이는 성공적인 디지털 전환을 실행하기 위해서는 기업의 긍정적 조직 문화가 배경이 전제되어야 함을 밝히고, MICE 기업 구성원들의 인식과 태도를 연구해 MICE 기업의 디지털 전환을 위한 전략적 시각을 정립하는데 있다. 이러한 배경 하에 MICE 기업의 디지털 전환에 대한 인식을 살펴보고, 디지털 전환을 촉진하기 위한 요인을 실증적으로 분석하는데 목적을 두고 있다. 이를 위해 문헌연 구를 하고 디지털 전환 인식과 기술 수용성, 디지털 전환에 대한 외부반응과 디지털 전환 준비정도, 디지털 전환 의사와 디지털 전환 실행 간의 관계에 대한 선행연구를 조사하고 MICE 기업 종사자에 대한 자료를 수 집하여 분석하고자 한다. 이를 통해 4차 산업 혁신을 대비하고 포스트 코로나 시대를 준비하는 MICE 기업 의 디지털 전환을 위한 이론적, 실무적 시사점을 제시하고자 한다.

In 2004, Professor Erik Stolterman of Sweden first referred to 'a phenomenon in which human life is improved in a better direction using IT technology' as Digital Transformation (DX). If you look at the transformation, you can use digital technology to improve your business and expand and change your business area. In other words, the core of the 4th industrial revolution can be seen as digital transformation in all areas of individuals and businesses. A company's digital transformation requires a cool-headed, correct awareness and desirable response to situations that can be both an opportunity and a threat depending on the circumstances and judgment. The MICE industry is no exception. Since 2010, the MICE industry has been combined with digital technology and has become a driving force for innovative growth in industries that have entered a low-growth phase, leading the growth and innovation of the MICE industry. In particular, a number of events in the form of Untact and hybrids were held in the context of COVID-19, accelerating the digital transformation of MICE companies. This study reveals that in order to implement a successful digital transformation that increases business performance and efficiency, a positive organizational culture of a company is a prerequisite, and it studies the perception and attitude of MICE company members to develop a strategic perspective for digital transformation of MICE companies. is to establish Against this background, the purpose of this study is to examine the perception of digital transformation of MICE companies and to empirically analyze the factors that promote digital transformation. To this end, literature research was conducted, and prior research was conducted on the relationship between digital transformation awareness and technology acceptance, external responses to digital transformation and digital transformation readiness, digital transformation intention and digital transformation implementation, and data on MICE company employees were collected. I want to analyze Through this, we intend to present theoretical and practical implications for digital transformation of MICE companies preparing for the 4th industrial innovation and post-corona era.

본 연구는 디지털 전환기 조직 환경에 놓인 중간관리자를 대상으로, 코칭경험이 심리적웰빙(정서)과 목적정렬성(동기)을 매개로 감소된 프리젠티즘(행동)에 미치는 영향을 실증적으로 분석하였다. 자기결정성이론과 긍정정서확장·축적이론을 이론적 기반으로 순차적 매개모형을 설정하고, 중간관리자 361명의 설문 자료를 분석한 결과, 코칭경험은 심리적웰빙과 목적정렬성에 유의한 정(+)의 영향을 미쳤으며, 정서 – 동기 – 행동으로 이어지는 순차적 매개효과가 통계적으로 지지 되었다. 이는 코칭이 중간관리자의 정서적 자원 회복과 목적 기반 동기 활성화를 통해 업무 수행의 적응적 행동 상태를 촉진함을 시사하며, 디지털 전환기 조직에서 중간관리자 코칭의 이론적·실천적 유용성을 제시한다.

This study examines the effects of Coaching Experience on Reduced Presenteeism among middle managers in organizations undergoing Digital Transformation(DX), focusing on the sequential mediating roles of Psychological Well-being (Affect) and Purpose Alignment (Motivation). Grounded in Self-determination theory and the Broaden-and-Build theory of positive emotions, Sequential Mediation Model was proposed and tested using survey data collected from 361 middle managers in Seoul, South Korea. The results indicate that Coaching Experience has significant positive effects on Psychological Well-being and Purpose Alignment, and that the sequential mediation pathway from Affect to Motivation to Behavior is statistically supported. These findings suggest that coaching functions as a developmental mechanism that restores affective resources and activates purpose-based motivation, thereby promoting adaptive behavioral states in work performance. This study contributes to the literature by highlighting the Affective ? Motivational ? Behavioral process through which coaching facilitates sustainable performance and well-being among middle managers in digitally transforming organizational contexts.

Purpose ? This study aims to explore how consumers’ experiential values gained from watching tourism content on OTT (Over-the-Top) platforms affect their emotional and behavioral immersion, as well as their later behavioral intentions in the era of digital transformation (DX). Design, data, and methodology ? The survey was distributed and collected 366 responses from individuals who had watched tourism-related content on OTT platforms at least once in the past year. Data analysis was conducted using SPSS and AMOS, employing frequency analysis, confirmatory factor analysis (CFA), correlation analysis, and structural equation modeling (SEM). Result ? The results show that among the four types of experiential value, only escapist and economic values had statistically significant positive effects on both emotional and behavioral immersion. Moreover, both emotional and behavioral immersion significantly influenced word-of-mouth intention, which in turn positively affected visit intention. These findings support the idea that immersive OTT-based tourism content can lead to meaningful behavioral responses, such as sharing content and visiting actual destinations. Conclusions ? The theoretical and practical implications are discussed.

Purpose: This study examines business operation monitoring in digital transformation through case studies of Japanese corporations in alignment with The Institute of Internal Auditors (IIA)’s “The Three Lines Model”. Research design, data, and methodology: Using in-depth interviews with internal audit managers of SoftBank Corp., which realized “Continuous Monitoring” by the Second Line in the Model, and Lotte Co., Ltd., which conducted “Remote Internal Auditing” on the Third Line in the Model, this study establishes the success factors in monitoring under corporate governance. Results: In SoftBank’s case, establishing IT systems is only a prerequisite, and a comprehensive approach, including interdepartmental linkages, is essential for effective operation within the model. In particular, continuous monitoring should be conducted from the perspective of balancing the information system foundations and human aspects of holistically operating them within an organization. Lotte’s case showed the possibility of monitoring in a new manner through its own standards and rules optimized for individual situations, various ingenuities in department operations, and the full use of general-purpose software. Although the two companies have different approaches, they show that identifying risks and selecting appropriate data are major factors in achieving effective monitoring. Although business monitoring, which requires the efficient use of data, has developed in the direction that Digital Transformation (DX) aims to achieve, human judgment is still important. Implications: From the case studies, continuous monitoring requires mid- to long-term plans regarding IT investment, a common understanding within the organization, and the capabilities of the promoter. However, remote internal auditing can be performed sufficiently as a short-term effort using resilient countermeasures within traditional audit procedures and leveraging general-purpose IT technologies.

When COVID-19 emerged, it affected numerous industries included fisheries supply chain in Malaysia, including Malaysia's fisheries supply chain. It was declared a pandemic in Malaysia and the government implemented the Movement Control Order (MCO), which prohibited all types of travel and Malaysia’s artisanal fishers are suffering net losses. Marine fisheries supply chain in Malaysia, The marine fisheries supply chain in Malaysia, challenges that they face are not as severe as those faced by other countries. Most fishing areas are either in rural areas and the only things that have improved are after COVID-19, when they implemented technologies. To implement such changes, the behaviour of Malaysian society and fishermen needs to be considered where the acceptance behavioural should be observesobserved. This research implemented DXAM (Digital Transformation Acceptance Model) by distributed questionnaire to 100 respondents and analysed the result using SmartPLS4. Results show that the most of the hypotheses research models were accepted and exemplifies exemplify the significance of path analysis. It shows the behaviour toward these changes is accepted where research and in-depth study are required. This study aims an improvement on Malaysia's distribution path on marine fisheries according to supply chain risk through DX. With the use of DX, it helps to produce and provide an impact that helps to improves.

본 연구는 후쿠시마 원전사고 이후 일본의 에너지 정책이 기후위기 대응과 디지털 전환(DX), 인공지능(AI) 확산이라는 복합적 국면을 통해 재편되는 양상을 발전주의(developmentalism)의 변용 관점에서 분석했다. 이를 위해 DX 정책 본격화 전후 일본의 에너지 정책문서를 토대로 주요 에너지원인 화력, 원자력, 재생에너지, 쇼에네르기의 전략적 위상 변화를 추적했다. 분석 결과, 일본의 에너지전환은 글로벌 AI 패권경쟁을 위한 전력 인프라 확보라는 국가적 목표와 결합하며 새로운 형태의 발전주의적 기획으로 변용되고 있다. 구체적으로, 첫째, 발전주의 논리로 정당화된 유산(legacy) 전원의 전략적 연명이 이루어졌으며, 여기에는 공통적으로 기술의 신규성이 핵심적인 정당화의 기제로 동원되었다. 둘째, 일본 정부는 유산 전원 인프라의 리스크를 흡수하고, 저탄소 전원의 적시 공급을 보장하는 후방 지원으로 스스로의 역할을 재정의하며 변용된 발전국가적 개입을 공고히 하고 있다. 셋째, 발전주의 이데올로기는 기후위기 대응을 위한 규범적 전환에 대해 우위를 유지하고 있다. 넷째, AI 확산으로 인한 전력수요 예측 불확실성의 국면에도 일본이 ‘쇼에네르기’를 내세운 수요관리 및 총 에너지 사용량 감축을 강조하고, 정책 역량을 투입하고 있다는 점에 주목해야 한다.

This study analyzes how Japan’s post-Fukushima energy policy has been reconfigured amid the intersecting contexts of climate-crisis response, digital transformation(DX), and the diffusion of artificial intelligence (AI), from the perspective of the transformation of developmentalism. To this end, the study examines major Japanese energy-policy documents issued before and after the full-fledged promotion of DX policies, tracing changes in the strategic positioning of thermal power, nuclear power, renewable energy, and sh?ene (energy conservation and efficiency). The analysis shows that Japan’s energy transition has become intertwined with the national objective of securing power infrastructure for the global competition over AI hegemony, thereby being transformed into a new developmentalist project. Specifically, first, legacy power sources have been strategically prolonged through developmentalist justifications, with technological novelty consistently mobilized as a core mechanism of legitimation. Second, the Japanese government is consolidating a transformed mode of developmental-state intervention by redefining its role as one of underwriting the risks of legacy power infrastructure and ensuring the timely supply of low-carbon power sources. Third, developmentalist ideology continues to maintain primacy over the normative transition required for climate-crisis response. Fourth, attention should be paid to the fact that, even under conditions of uncertainty in electricity-demand forecasting caused by AI diffusion, Japan continues to emphasize demand-side management and reductions in total energy use through sh?ene, while mobilizing policy resources toward these goals.

This study analyzes how discussions on digital transformation (DX) in South Korea have evolved following the emergence of generative artificial intelligence (AI) from 2022 to 2025. Using topic modeling based on Latent Dirichlet Allocation (LDA), the study examined 4,213 domestic news articles to trace structural changes in DX-related discourse. As a result, five major themes were identified. (1) AI-based technological leadership competition, (2) enhancement of literacy and human resource development (AX), (3) innovation in digital government and administrative systems, (4) sustainable transformation of major industries such as low-carbon and logistics, and (5) the emergence of AI ethics, regulation, and data governance. Compared with earlier DX discourse (1994-2021), recent trends indicate a shift from technology adoption toward capacity building and responsible governance. In the context of generative AI, DX has been recognized as a continuous process integrating technological, human, and institutional expertise and adaptation. This study contributes to re-conceptualizing digital transformation (DX) in the era of generative AI as a socio-technical system transformation process that integrates human values and ethical responsibility, rather than a purely technology-centered phenomenon.

4차 산업혁명의 디지털 전환(DX)은 자동화⋅디지털화⋅네트워크화⋅지속가능성을 촉진 시켰고 IoT, AI, 로봇, 빅데이터, 클라우드, 블록체인 기술 등으로 물류는 운송⋅보관⋅하역⋅포장⋅정보의 전 과정을 효율화하고, 공급망 전체를 실시간 최적화하는방향으로 진화하고 있다. 보관 영역을 대표하는 물류센터와 창고는 기존의 보관 공간이라는 개념에서 데이터 기반의 자동화 운영거점으로 전환되고 있지만, 장치산업 및 공급망 특성으로 신속한 기술 도입과 역량 축적 미흡으로 충분히 대응하지 못하고 있다. 본 연구는 기업이 경쟁력과 직결되는 환경 변화에 효과적으로 적응하고 새로운 기회를 탐색함으로써 지속적 성장을 달성하는 과정에 주목한다. 이를 위해 제도적 이론을 기반으로, 제도적 디지털 전환(DX) 압력이 기업의 회복탄력성과 기업 성과에 미치는 영향을 실증적으로 분석하였다. 나아가 제도적 DX 압력이 기업 성과 향상으로 이어지는 영향 경로를 규명함으로써, 디지털 전환환경에서 기업의 경쟁력 확보 과정을 제시하고자 한다. 이를 위해 국내 물류센터 및 창고기업을 대상으로 데이터를 수집하여PLS-SEM 분석을 수행하였고, 기업의 회복탄력성이 제도적 디지털 전환(DX)의 규제적, 인지적 압력과 기업 성과 사이에 관계를유의미하게 매개하는 결과를 도출하였다. 즉, 기업은 규제⋅인지적 압력을 받아 회복탄력성의 준비와 대응 능력을 통해, 기업 성과를 개선하는 것으로 나타났다.

The Digital Transformation(DX) of the Fourth Industrial Revolution has promoted automation, digitalization, networking, and sustainability. Through technologies such as IoT, AI, robotics, big data, cloud computing, and blockchain, logistics is evolving to streamline the entire process of transportation, storage, handling, packaging, and information, and to optimize the entire supply chain in real time. Logistics centers and warehouses, which represent the storage sector, are transitioning from the concept of traditional storage spaces to data-driven automated operational hubs. However, due to the characteristics of the equipment industry and supply chain, they are unable to respond sufficiently because of insufficient rapid technology adoption and the accumulation of capabilities. To enable companies to adapt to and accept environmental changes directly linked to competitiveness, and to explore new opportunities for continuous growth, this paper aims to identify the impact of institutional DX pressure on corporate resilience and performance through empirical analysis based on institutional theory, ultimately deriving the influence that leads to improved corporate performance. To this end, data was collected from domestic logistics centers and warehouse companies, and PLS-SEM analysis was performed. The results showed that corporate resilience significantly mediates the relationship between regulative and cognitive pressures of institutional DX and corporate performance. In other words, it was found that firms improve their performance in the face of regulative and cognitive pressures through their Proactive-resilience and Reactive-resilience capabilities.

코로나 19 이후 전통적인 비즈니스 프로세스가 디지털 환경 속에서 그 형태가 변화하는 디지털 트랜스포메이션(Digital Transformation: DX)의 확산으로 재편되면서 비즈니스 환경의 변화와 함께 경쟁 또한 더 치열해지고 있다. 디지털화는 비즈니스의 형성과 운영방법 등을 근본적으로 바꾸고 있다. 단순히 테크놀로지의 문제가 아니라 새로운 비즈니스가 새로운 제품 및 서비스를 협동, 설계, 전개하는 방법이 변화하고 있다는 것을 반영한다. 본 연구에서는 급속도로 변화하는 디지털 트랜스포메이션 시대에서 한국과 일본의 기업가정신의 현황 비교를 통해 각국의 현황은 어떠하며, 디지털시대의 올바른 기업가정신은 무엇인지에 대해 검토해보고자 한다. 이를 통해 한국의 바람직한 디지털 기업가정신에 대해 제언해보고자 한다. 한국의 기업가정신은 최근 코로나 상황에서 몇몇 국가별 기업가정신 지수가 상승하였지만 일시적인 현상으로 보인다. 근본적으로는 선진국 대비해 1980년대 이후 지속적으로 하락하고 있다는 점이 특징이다. 중요한 것은 시대에 따라 기업가정신은 변해야 한다는 점인데 급변하는 환경 속에 변화의 물결을 타지 못하였다면 이는 후퇴했다고 밖에 볼 수 없다. 무엇보다 한국의 기업가정신 지수가 낮은 이유 중 제일 큰 이유는 실패를 이해하거나 용인해 주지 않는 사회적 분위기라고 할 수 있다. 일본에서는 연공서열제, 종신고용제와 같은 관습의 정착에 의한 영향으로 인해 기업가정신에 대한 평가가 국제적으로 떨어진다는 경향이 있다. 일본에서는 기본적으로 직업을 선택할 때 종신고용을 해주는 기업에 대한 취업이 주류이기 때문에 결과적으로 기업가정신의 육성을 촉진하는 것이 좀처럼 어려운 환경에 있다고 할 수 있다. 디지털 시대의 새로운 비즈니스 모델의 중요한 귀결은 기업가치의 원천을 변화시키는 것이다. 동래의 기업과 비교해보면, 일반적으로 디지털 기업은 소유하고 있는 물리적 자산은 적고 인적자본, 소프트웨어, 지적자산 등의 무형자산으로부터 많은 가치를 창출한다. 그러나 본질적으로 기업의 무형자산에는 다음과 같은 것들을 반영한다. 첫 째, 종업원과 창업자 (인적자본)의 서로에 대한 공헌, 둘 째, 고객과 공급자와의 관계 (관계자본), 셋 째, 소프트웨어 및 지적자산 등을 포함한 종업원 이외의 모든 스테이크 홀더 이상 3가지를 반영하고 있는 것이다. 한국 사회에서 이상과 같은 기업 가치의 반영을 통해 디지털 기업가정신을 함양하기 위해서는 체계적인 교육도 중요하지만 실패하더라도 다시 도전할 수 있는 기회가 존재하는 환경 조성이 중요하다고 하겠다.

Since the COVID-19 pandemic, traditional business processes have been reorganized with the spread of Digital Transformation (DX), in which the form changes in the digital environment, and competition is becoming fiercer along with changes in the business environment. Digitization is fundamentally changing how businesses are formed and run. It's not just a matter of technology, it reflects a shift in how new businesses collaborate, design and deploy new products and services. In this study, through a comparison of the current status of entrepreneurship in Korea and Japan in the era of rapidly changing digital transformation, we will review what the current status of each country is and what the right entrepreneurship in the digital age is. Through this, I would like to suggest a desirable digital entrepreneurship in Korea. Entrepreneurship in Korea seems to be a temporary phenomenon, although several country-specific entrepreneurship indices have risen in the recent COVID-19 situation. Fundamentally, it is characterized by the fact that it has been continuously declining since the 1980s compared to developed countries. The important thing is that entrepreneurship must change according to the times, and if it has not been able to ride the wave of change in a rapidly changing environment, it can only be seen as a retreat. Above all, the biggest reason among the reasons why Korea's entrepreneurship index is low is the social atmosphere that does not understand or tolerate failure. In Japan, the evaluation of entrepreneurship tends to fall internationally due to the influence of the establishment of customs such as seniority system and lifetime employment system. In Japan, it can be said that employment in companies that provide life-long employment is basically the mainstream when choosing a job, and as a result, it is difficult to promote the development of entrepreneurship. An important corollary of new business models in the digital age is changing the sources of corporate value. Compared to companies of the same era, digital companies generally own fewer physical assets and create more value from intangible assets such as human capital, software, and intellectual property. However, in essence, an entity's intangible assets reflect: First, the contributions of employees and founders (human capital) to each other, second, the relationship between customers and suppliers (related capital), and third, all stake holders other than employees, including software and intellectual assets, etc. that is reflecting Systematic education is important to foster digital entrepreneurship through the reflection of corporate values in Korean society, but it is also important to create an environment where there are opportunities to try again even if you fail.

디지털사회전환(DX)에서 디지털농업은 식량위기 대응과 농업인의 삶의 질 제고 등 차원에서 그 의미와 가치가 새롭게 부상하고 있다. 특히 AI, 사물인터넷, 빅데이터 등 디지털기술의 발전에 힘입어, 디지털농업은 지속가능한 농업의 발전을 견인하는 데 보탬이 될 것으로 전망된다. 이러한 배경에서 정부는 2025년 ‘국가 AI대전환 종합계획’을 통하여 디지털 기술을 활용한 농업산업의 혁신성장을 도모하고, 농업데이터 기반 의사결정 지원 및 자율주행 농기계 보급 등으로 농업의 디지털전환(DX)을 본격적으로 추진하고 있다. 디지털기술을 활용한 농업은 식량안보를 강화하는 동시에 농촌 경제를 활성화하고 농업산업의 재도약 등 새로운 변화를 촉진할 것으로 기대된다. 주요 국가들은 농업산업에 디지털 기술을 적극적으로 지원하고 있으며, 이를 통해 농업인들의 농업 생산성 향상뿐만 아니라 삶의 질을 제고하기 위한 하나의 방편으로서 디지털농업이 관심을 받고 있다. 가령, 농산물 생산과정에서 드론으로 촬영한 수확물 이미지를 학습해 작황을 예측하는 모델이 개발되기도 하였으며, 날씨 데이터를 바탕으로 비료 사용 시기를 결정하는 예측형 AI를 통해 농업의 효율성을 제고하고 있다. 그러나, 디지털농업에 핵심적인 농업인들의 농업 데이터에 대한 권리 보장과 디지털 격차로 인한 불평등 해소 등 새로운 법적 과제들도 산적해 있다. 예컨대, 디지털 농업이 경쟁력 있는 신산업으로 발전 및 육성하기 위해서는, 농업 데이터에 대한 정의를 비롯하여 농업 데이터의 소유권, 데이터 수집, 데이터 이용, 보안, 폐기 등에 관한 사항을 규율하는 법제 마련이 필수적이다. 또한, 디지털사회전환에서 인공지능 등 디지털기기의 활용능력이나 접근 가능성의 차이로 인한 경제･사회적 격차에 대해서도 충분한 관심과 정책적 지원이 필요하다. 이 글에서는 이러한 문제의식과 고민을 바탕으로, 농업의 공익적 가치와 농업인 보호를 위한 헌법의 역할을 정리하고(Ⅱ장), 디지털전환시대(DX)의 농업 현실과 농업인의 삶의질 정책 현황과 문제점을 검토한다(Ⅲ장). 또한, 디지털사회전환(DX)과 농업인의 보다 나은 삶의 질의 향상을 위한 법적 과제와 헌법개정 등을 포함한 향후과제를 검토하고자 한다(Ⅳ장).

In the transition to a digital society, digital agriculture is emerging as a field of renewed significance and value in addressing food crises and improving the quality of life for farmers. Driven by rapid advancements in digital technologies such as artificial intelligence (AI), the Internet of Things (IoT), and big data, digital agriculture is expected to play a leading role in promoting sustainable agricultural development. In response to these expectations, the government is promoting digital transformation through the “National AI Great Transformation Comprehensive Plan (2025),” which aims to foster innovative growth in the agricultural industry through the utilization of digital technologies. Major policy directions include supporting data-based decision-making in agriculture and disseminating autonomous agricultural machinery. Agriculture empowered by digital technologies is anticipated to bring about profound changes strengthening food security, revitalizing rural economies, and driving the renewed growth of the agricultural sector. Major countries around the world are also providing active support for the integration of digital technologies into agriculture. Digital agriculture is gaining global attention not only for improving agricultural productivity but also for enhancing farmers’ overall quality of life. For instance, AI models trained on drone-captured harvest images are being developed to predict crop yields, while predictive AI systems based on weather data are helping determine the optimal timing for fertilizer application, thereby enhancing the efficiency and precision of agricultural production. However, new legal and institutional challenges have also emerged, including the need to guarantee farmers’ rights to agricultural data and to reduce inequalities arising from the digital divide. For digital agriculture to evolve into a competitive and sustainable new industry, it is essential to establish a robust legal framework that clearly defines agricultural data and regulates issues related to ownership, collection, utilization, security, and disposal. Moreover, as society undergoes a broader digital transformation, sufficient attention and policy support are required to address economic and social inequalities resulting from differences in individuals’ ability to access and use digital technologies such as AI and other smart agricultural devices.

본 연구의 목적은 기업들의 디지털 전환을 추진하는데 중요한 기업 변수가 무엇인지 탐색하고, 이에 중요변수가 무엇인지 설명하고자 한다. 또한 기업들의 디지털 전환 역량을 수준별로 구분하여 집단별로 어떤디지털 전환 변수가 중요한지 분석할 것이다. 다수의 기업은 현재 디지털 기반의 비즈니스 전략을 채택하거나디지털 전환 전략을 추진하고 있다. 이에 이론적 배경으로 디지털 전환, 기업의 변화관리, 빅데이터 기반의사결정을 기반으로 정리하고 가설을 설정하였다. 연구 방법은 다중 회귀 분석 모형으로 설정하였다. 독립변수는 디지털 전환을 위한 기업 행동으로서 기업전략, 조직문화, 사내 환경을 설정하였고, 종속변수는 빅데이터 분석 및 활용으로 설정하였다. 그리고 집단변수로는 기업들의 디지털 전환 역량 수준으로 설정하였다. 분석 결과, 디지털 전환의 역량 수준에 따라 집단별빅데이터 활용에 차이가 있는 것으로 나타났다. 또한 회귀 분석에서는 기업전략, 조직문화, 조직 분위기등은 빅데이터 활용에 긍정적인 영향을 미친다고 나타났다. 집단별 회귀 분석에서는 디지털 전환을 위한중요한 변수들도 상이하게 나타났다. 본 연구의 이론적 시사점으로는 기업전략이론을 통한 경영정보시스템 연구 업데이트를 제시하였다. 실무적 시사점으로는 디지털 전환의 수준을 고려한 기업전략을 수립하여, 체계적으로 조직문화, 사내 분위기를 변화시켜야 한다.

Research Purpose: The purpose of this study is to explore what important variables promote the use of big data and the digital transformation of companies. It will also analyze which important variables of digital transformation are for each group. This study was summarized as digital transformation, change management, and big data-based decision-making. Research Methods: The model of this study focuses on causal relationships and analyzes whether there are differences in causal relationships between groups. The research method used cluster analysis, variance analysis, and multiple regression analysis. Results in Research: It was found that there was a difference in the use of big data depending on the level of capability of digital transformation. In regression analysis, corporate strategy, organizational culture, and organizational atmosphere have a positive effect on the use of big data. In the group-specific regression analysis, important variables for digital transformation were also different. Research Conclusion: The theoretical implications were to update management information systems research through corporate strategy theory. Practical implications require corporate investment considering the level of digital transformation.

Digital transformation is becoming a huge trend in the industry. However, successful cases of digital transformation promotion are rarely reported. Therefore, the need to explore various cases of digital transformation and analyze success and failure factors is raised. The purpose of this study is to conceptualize a digital transformation diffusion model based on innovation diffusion and chasm theory, and to verify the validity of the model through analysis of digital transformation promotion cases. The diffusion process of innovation takes the form of S-curve, and due to the discontinuity of innovation, the diffusion of innovation requires a considerable adjustment period. This is called chasm. Therefore, digital transformation can only succeed if chasm is overcome. The digital transformation diffusion model is a conceptualized model based on this theoretical background. In particular, we confirmed through the case of digital transformation promotion that the case companies are following the pattern suggested by the digital transformation diffusion model. This study is significant in that various types of digital barriers form chasm in the process of promoting digital transformation, and it presents a framework for analysis and alternative proposals.