‘Efficiency,’ a key performance factor of an organization, is affected by various factors in addition to ‘cost-benefit,’ which can be measured. Data Envelopment Analysis (DEA) is a method to evaluate the relative efficiency of an organization by simultaneously considering various factors that are difficult to measure. The significance of this study is that it presents a ‘method for developing an efficiency performance indicator using DEA’ and provides a practical application plan for inefficient organizations (DMUs) to develop and manage appropriate performance indicators to improve efficiency. It presents a methodology for performing research procedures ranging from selection of input and output variables, correlation analysis, DEA execution, calculation of virtual efficiency units (VEUs) through the latent price of the reference group (DMU), and derivation of efficiency performance indicators of the organization.

The purpose of this study is to empirically analyze the causal relationship between the influence of the differentiation strategy on the management performance of small and medium-sized business successors, who are shaped by the characteristics of the company and its environment. A survey was conducted on 256 business successors in the metropolitan area, and SPSS 29.0 and AMOS 29.0 programs were used to test the hypotheses of the established research model. The results of the empirical analysis showed that environmental characteristics had a greater influence on business successors than the company's characteristics. Second, the influence of the business successors had a positive effect on the company's differentiation strategy. Third, the differentiation strategy was found to have a strong correlation with the company's financial performance, and it was found to have a positive (+) effect on non-financial performance. Fourth, the financial performance of family businesses was found to have a significant influence on their non-financial performance. This study aims to broaden the understanding of why business successors prefer and choose differentiation strategies by combining theories of strategic management and business succession. Existing research on business succession has focused primarily on succession and management performance, with relatively little empirical research on strategy selection. The novelty of this study lies in its unique focus on strategy selection, which will likely aid in designing customized consulting and support policies for future succession companies. This novel approach is sure to intrigue and interest the audience.

본 연구는 지역가치형 로컬비즈니스모델 조사·분석을 통해, 지역가치형 로컬비즈니스모델이 지역의 경제적·문화적 가치 증진에 기여할 수 있는 방안을 제시하는 것을 목적으로 하였다. 이를 위해 특히 로컬비즈니스 모델 7개 분야 중 지역가치형 모델의 특징 등을 조사·분석하였다. 연구 결과 지역가치형 로컬비즈니스모델을 통한 지역의 경제적·문화적 가치증 진을 위한 방안으로 첫째, 자원의 범위가 특정 소재와 콘텐츠로 제한되 지 않도록 주의하며 새로운 자원을 소재로 한 창작과 융합이 활성화되도 록 유도할 필요하며, 둘째, 지역자원의 고유한 특성이 최대한 반영되는 내용을 구성하며, 셋재, 지역성의 변형 또는 재창조의 범위에 대한 고민 이 필요하며, 넷째, 트랜드의 변화에 대응하는 마케팅 전략의 수립 및 운 용이 중요하며, 마지막으로 인력의 양성 및 지역사회를 변화시기키 위한 정책적 지원을 제안하였다.

Business model(BM) innovation is widely known as a differentiated strategy and strategic framework for companies to secure a sustainable competitive advantage in an uncertain environment. While prior research has studied new business models in accordance with changes in manufacturing trends such as digitalization and servitization, empirical understanding of the dynamic processes of BM innovation is still lacking. This study addresses this gap by proposing an analytical framework of the BM innovation matrix that classifies companies' BM innovation cases into four types according to the degree of BM change and the influential level of the industry/market outcome through a critical literature review on business models and dynamics. Drawing on this framework, we conduct longitudinal case studies of leading global 3D printing firms to examine the dynamic processes and external environmental factors that shape the evolution of BM innovation. Our findings reveal previously underexplored patterns of co-evolution between firms’ business models and their broader industrial and market environments. This study has the significance of constructing a framework for dynamically analyzing BM innovation based on longitudinal case studies of emerging 3D printing companies. We presented implications for companies seeking successful commercialization of emerging technologies, such as the strategic usefulness of the BM innovation framework and the importance of co-evolution with industrial structure and environmental factors in the process of change.

This paper focuses on the lesson topics in two business Chinese textbooks, Delicious Business Chinese and New Silk Road: Elementary Business Chinese Fast Track (China), aiming to explore their similarities and differences in topic selection, content organization, and cultural integration. First, an in-depth analysis of the lesson themes in both textbooks is conducted, examining how they present business scenarios, negotiation strategies, and cultural exchanges. Second, through comparative analysis, the study reveals that the Korean edition emphasizes integration with Korean corporate culture and workplace etiquette, paying special attention to the practical needs and cultural background of Korean learners. In contrast, the Chinese edition highlights the characteristics of the Chinese market and business operation processes. Furthermore, the paper investigates how these differences in topics influence learners’ cross-cultural business communication. Finally, based on the findings, the paper offers recommendations on how to balance the localization needs of learners in developing business Chinese textbooks, providing a reference for future textbook compilation and optimization.

본 논문의 목적은 재일동포 사회의 세대 변화가 급변하고 있는 상황에 서 김희수 회장의 모국 육영사업 사례를 통해 재일동포 기업의 세대 간 기업계승 전략을 고찰하는 데 있다. 연구 방법은 각종 신문 보도 자료와 현지 인터뷰 조사 자료를 분석하였다. 연구 결과는 다음과 같다. 첫째, 재일동포 1세는 모국 지향의 ‘금의환향’의 기업가정신이 창업으로 이끄는 원동력으로 작동했다. 이는 명확한 성공의 지표가 되어 핸디캡을 극복하 고 기업 성공의 동인이 되었다. 둘째, 일본 태생의 재일동포 2세~3세들 은 일본 정주지향의 기업가정신 발현으로 1세들이 가지고 있는 탁월성과 도전성을 기대하기 어려웠다. 셋째, 김희수 회장의 기업 계승자의 발탁 배경에는 경영 철학을 공유하고 한일 가교역할의 가능성에서 비롯된 것 으로 보인다. 넷째, 김희수 회장의 모국 투자의 성찰과 교훈은 일본에서 대학 교육사업과 금융 기업의 한계, 특히 모국 중앙대학교 인수와 매각 과정에서의 한일 육영사업의 차이점 등을 간과했다는 점이다. 결론적으 로 김희수 회장은 그의 경영철학과 한·일 육영사업의 가교로서 세대 간 의 구조적 공백(Structural Hole)을 연결할 수 있는 통로로서 신경호 이 사장을 발탁한 것이다. 이러한 정신을 바탕으로 수림문화재단을 설립하 여 오늘날까지 한·일 육영사업과 문화 사업으로 계승되고 있다고 볼 수 있다.

본 연구는 기업가적 지향성, 제품혁신, 비즈니스프로세스혁신(이하 BP혁신), 기업성과 간의 관계를 규명한다. 기업가적 지향성과 기업성과의 관계에 대한 학술적 이해를 심화하기 위해 기존에 충분히 연구되지 않았던 제품혁신과 BP혁신의 매개효과를 분석한다. 실증분석을 위해 ‘2020년 한국기업혁신조사: 제조업’의 원자료에서 결측치를 제외한 3,982 개의 기업의 응답 데이터를 사용하였으며 구조방정식 모형을 활용하여 가설을 검증하였다. 실증분석 결과, 기업가적 지향성, 제품혁신, BP혁신은 기업성과에 긍정적인 영향을 미치는 것으로 나타났다. 또한, BP혁신은 제품혁신에 긍정적 영향을 미치는 것으로 나타났다. 기업 가적 지향성과 기업성과의 관계에서 제품혁신과 BP혁신의 긍정적 매개효과가 확인되었으며 BP혁신이 제품혁신의 경로를 거치는 순차적 매개효과를 보였다. 본 연구는 제품혁신과 BP혁신의 매개효과를 통해 기업가적 지향성과 기업성과의 관계에 대한 이해를 심화하였다는 점에서 학술적 의의가 있다. 기업가적 지향성이 기업성과에 긍정적 영향을 주기 위해 BP혁신과 제품혁신이 유기적으로 연계되어야 한다는 점에서 실무적 시사 점이 있다.

Carbon aerogels including graphite and graphene have unique properties such as lightweight, strong, and insulative to roofing applications. Carbon aerogels offer innovative solutions in building management by enhancing thermal and acoustic insulation while reducing structural weight, aligning with the focus on economic and business analysis driven by machine learning. Traditional building materials often fail to meet contemporary energy efficiency and sustainability demands, underscoring the necessity for more advanced solutions. This project is dedicated to integrating carbon aerogels into roofing systems and employs Deep Neural Networks (DNNs) to optimize their performance and integration. The novelty of this study lies in its application of carbon aerogel technology—a cutting-edge, lightweight, and highly insulative material—specifically within roofing to analyze the practical evaluation of carbon aerogels’ thermal properties and economic viability in the construction industry. This study aims to rigorously assess carbon aerogels’ performance and financial impact on roofing applications. By conducting the thermal guard test and economic lifecycle evaluation, the study seeks to validate carbon aerogels’ enhanced energy efficiency and cost-effectiveness compared to traditional roofing materials. The study demonstrates that carbon aerogels offer superior thermal insulation in roofing applications, with a thermal conductivity of 0.02 W/m·K, significantly outperforming traditional materials. Economically, the high initial cost of carbon aerogels is effectively offset by substantial energy savings, estimated at $300 annually per square meter, resulting in a payback period of approximately 1.05 years. These findings are supported by rigorous testing and optimization through DNN, highlighting the material’s potential to enhance energy efficiency and sustainability in building practices.

Optimizing business strategies for energy through machine learning involves using predictive analytics for accurate energy demand and price forecasting, enhancing operational efficiency through resource optimization and predictive maintenance, and optimizing renewable energy integration into the energy grid. This approach maximizes production, reduces costs, and ensures stability in energy supply. The novelty of integrating deep reinforcement learning (DRL) in energy management lies in its ability to adapt and optimize operational strategies in real-time, autonomously leveraging advanced machine learning techniques to handle dynamic and complex energy environments. The study’s outcomes demonstrate the effectiveness of DRL in optimizing energy management strategies. Statistical validity tests revealed shallow error values [MAE: 1.056 × 10(− 13) and RMSE: 1.253 × 10(− 13)], indicating strong predictive accuracy and model robustness. Sensitivity analysis showed that heating and cooling energy consumption variations significantly impact total energy consumption, with predicted changes ranging from 734.66 to 835.46 units. Monte Carlo simulations revealed a mean total energy consumption of 850 units with a standard deviation of 50 units, underscoring the model’s robustness under various stochastic scenarios. Another significant result of the economic impact analysis was the comparison of different operational strategies. The analysis indicated that scenario 1 (high operational costs) and scenario 2 (lower operational costs) both resulted in profits of $70,000, despite differences in operational costs and revenues. However, scenario 3 (optimized strategy) demonstrated superior financial performance with a profit of $78,500. This highlights the importance of strategic operational improvements and suggests that efficiency optimization can significantly enhance profitability. In addition, the DRL-enhanced strategies showed a marked improvement in forecasting and managing demand fluctuations, leading to better resource allocation and reduced energy wastage. Integrating DRL improves operational efficiency and supports long-term financial viability, positioning energy systems for a more sustainable future.