• 4차산업연구
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• 제2권1호
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• pp.33-43
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• 2022

Purpose - With the rapid development of information technology, the digital economy has become an important grip of the new development pattern, and the digital transformation of enterprises is a major trend. As SMEs are the mainstay of the economy and employment, it is important to study the digital transformation of SMEs to promote the development of the digital economy. Research design, data, and methodology - Based on a resource-based view, this report analyses the current situation and issues of digital transformation of SMEs from the perspective of digital orientation as well as the breadth and depth of technological capabilities of enterprises, using data from a survey of 200 manufacturing enterprises in China. Result - The results show that SMEs generally have a digital transformation mindset, but a weak digital foundation. In order to execute a digital strategy, companies need digital transformation capabilities. These behavioral capabilities are guided by the strategic direction of the business, and companies with strong capabilities are always trying to tap into the full digital potential. Conclusion - In order to effectively promote the digital transformation of SMEs, we suggest that SMEs pay attention to digital capability building, make good use of digital platforms and network resources, and lay a solid foundation for digital transformation; meanwhile, we suggest that government departments play a guiding and supporting role to build a cross-industry and cross-sector digital synergy system to help promote the development of SMEs' digital transformation. This paper presents some suggestions from both the internal and external environment of the enterprise, with the expectation of contributing to the digital transformation practices of SMEs.

• The Journal of Asian Finance, Economics and Business
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• 제9권5호
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• pp.421-429
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• 2022

Entrepreneurship research has focused on several factors that might affect the intention of an individual to start an enterprise. Using principles from social network theory and the entrepreneurial intention model (EI), the current research intends to investigate how social capital is formed on Social Networking Sites (SNS) and how the resulting social capital influences entrepreneurial intention. Using an online survey, 151 valid responses were received from university students. Applying partial least square structural equation modeling, positive and significant relationship was found between the SNS usage and bonding and bridging social capital. Further, it was also found that online-bonding social capital does not impact any of the three antecedents of entrepreneurial intention. On the other hand, online-bridging social capital significantly influences personal attitudes and subjective norms. It was also found that both personal attitude and perceived behavioral control significantly relate to EI, while the subjective norms do not relate significantly to EI. The paper contributes to the literature on technology-based human behavior and entrepreneurship in emerging countries, opening some areas for future research, while also providing some managerial insights. It also should be beneficial to educational institutions in understanding how the use of SNS use by students may be optimized.

• 융합경영연구
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• 제2권2호
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• pp.1-9
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• 2014

This study investigated solutions of not only weak organization but also poor communication with customers from point of view of SNS such as Naver blog, Naver band, Kakao Talk and Facebook to promote local business market. The study gave strategies: First, SNS marketing strategy shall be used to do public relations and communicate in accordance with features of each SNS. Naver Blog that is opened SNS shall be used to do public relations and to invite new customers, and Kakao Talk that is closed SNS shall be used to increase customers having high loyalty, and Facebook that has both properties of SNS, that is to say, openness and closure, shall be used to raise effects of word-of-mouth to make use of new sales window. The communication can find out customers' needs to provide customers with customized services. Second, Naver Band and/or cafe shall be opened to increase link and friendliness and to have community consciousness realizing common goal and to destroy merchants' helplessness and individualism and to make change of the market for the place of community. Changes among the merchants may get better ideas to do events continuously and to get more SNS marketing effects and synergy. Third, the merchants shall make change not momentarily but continuously by making efforts steadily. Good communication in and out of the market may create inherent brand value to differ from super chain and/or SSM and to increase sales as well as traditional market image and to attain customers' loyalty.

• 융합경영연구
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• 제6권2호
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• pp.5-20
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• 2018

Purpose- The study aims to understand the perception of the employees regarding employee relations, organizational culture, employee welfare and job design within the organization. Research design, data, and methodology - It is a descriptive study. A climate survey was conducted on the staff of NTPC, Badarpur. The sample size is 100. The data has been analyzed using excel and SPSS. Results - The study finds the lack of free flow of communication with the information by the top and middle management to lower levels, lack of existence of positive attitude, lack of recreational activities to bring stress level down. NTPC, Badarpur is an association which gives a wide range of offices to its workers along these lines giving fulfilment to its representatives all things considered. Conclusions - Correspondence network ought to be entirely clung to all the more free stream of correspondence by top and center administration. Greater lucidity with respect to expected set of responsibilities might be useful. Orderly enlistment is required. Human Asset prerequisites in groups should be re looked guaranteeing sufficient colleagues in a group. Workers are submitted towards association's objective. NTPC, Badarpur ought to move with the developing advancements so it can adapt up to the quicker rivalry.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 가을 학술논문 발표대회
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• pp.93-94
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• 2022

Although various studies about indoor positioning systems, such as beacon and Wifi, have been conducting for indoor positioning of workers at construction sites, these systems have limitations in terms of accuracy or economics. To overcome these limitations, geomagnetic field sequence-based indoor positioning technology can be a good alternative. However, it is necessary to correct the geomagnetic field near the construction material stocking area since the geomagnetic field can be distorted near construction materials such as rebars. Therefore, this study conducted an experiment for identifying correction range of geomagnetic field near the construction material stocking area. It was analyzed that the geomagnetic field should be corrected up to 60cm in the horizontal direction from the stocking point if the height of stocking area for rebars is 40cm or more. This study can be used for important reference for development of geomagnetic field sequence-based indoor positioning technology suitable for construction sites.

• 무역학회지
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• 제47권5호
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• pp.161-179
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• 2022

This paper aims to examine the role of government's support in facilitating small and medium sized enterprises (SMEs)' green dynamic capabilities and green SCM practices in a global market. It also investigates whether government support, green dynamic capabilities, and green SCM practices affect export competitiveness. To develop those hypotheses, prior studies and in-depth interviews were conducted and data was collected from Korean manufacturing companies that export abroad and then developed the structural equation model. The hypotheses test results revealed that green dynamic capabilities through government support positively affect export competitiveness and green SCM practices through green dynamic capabilities have positive effects on export competitiveness. Finally, this study is valuable in that it directly and indirectly confirmed the effect of eco-friendly government support on export competitiveness.

• International Journal of Advanced Culture Technology
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• 제12권2호
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• pp.167-179
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• 2024

This study addresses the challenge of objectively evaluating the performance of early-stage startups amidst limited information and uncertainty. Focusing on companies selected by TIPS, a leading private sector-driven startup support policy in Korea, the research develops a new indicator to assess technological efficiency. By analyzing various input and output variables collected from Crunchbase and KIND (Korea Investor's Network for Disclosure System) databases, including technology use metrics, patents, and Crunchbase rankings, the study derives technological efficiency for TIPS-selected startups. A prediction model is then developed utilizing machine learning techniques such as Random Forest and boosting (XGBoost) to classify startups into efficiency percentiles (10th, 30th, and 50th). The results indicate that prediction accuracy improves with higher percentiles based on the technical efficiency index, providing valuable insights for evaluating and predicting startup performance in early markets characterized by information scarcity and uncertainty. Future research directions should focus on assessing growth potential and sustainability using the developed classification and prediction models, aiding investors in making data-driven investment decisions and contributing to the development of the early startup ecosystem.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권1호
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• pp.1-14
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• 2024

Time-series forecasting is extensively used in the actual world. Recent research has shown that Transformers with a self-attention mechanism at their core exhibit better performance when dealing with such problems. However, most of the existing Transformer models used for time series prediction use the traditional encoder-decoder architecture, which is complex and leads to low model processing efficiency, thus limiting the ability to mine deep time dependencies by increasing model depth. Secondly, the secondary computational complexity of the self-attention mechanism also increases computational overhead and reduces processing efficiency. To address these issues, the paper designs an efficient multi-layer attention-based time-series forecasting model. This model has the following characteristics: (i) It abandons the traditional encoder-decoder based Transformer architecture and constructs a time series prediction model based on multi-layer attention mechanism, improving the model's ability to mine deep time dependencies. (ii) A cross attention module based on cross attention mechanism was designed to enhance information exchange between historical and predictive sequences. (iii) Applying a recently proposed sparse attention mechanism to our model reduces computational overhead and improves processing efficiency. Experiments on multiple datasets have shown that our model can significantly increase the performance of current advanced Transformer methods in time series forecasting, including LogTrans, Reformer, and Informer.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.119-129
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• 2024

We look at Web 3.0 business model canvas (BMC) of metaverse gaming platform, The Sandbox (TS). As results, the decentralized, blockchain-based platform, TS benefits its creators and players by providing true ownership, tradability of decentralized assets, and interoperability. First, in terms of the governance and ownership, The SAND functions a governance token allowing holders to participate in decision and SAND owners can vote themselves or delegate voting rights to other players of their choice. Second, in terms of decentralized assets and activities, TS offers three products as assets like Vox Edit as a 3D tool for voxel ASSETS, Marketplace as NFT market, and Game Maker as a visual scripting toolbox. The ASSETS made in Vox Edit, sold on the Marketplace, can be also utilized with Game Maker. Third, in terms of the network technology, in-game items are no longer be confined to a narrow ecosystem. The ASSETS on the InterPlanetary File System (IPFS) are not changed without the owner's permission. LAND and SAND are supported on Polygon, so that users interact with their tokens in a single place. Last, in terms of the token economics, users can acquire in-game assets, upload these assets to the marketplace, use for paying transaction fees, and use these as governance token for supporting the foundation.

• 한국경제지리학회지
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• 제18권1호
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• pp.17-44
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• 2015

본 연구는 LA지역 한인 이주민을 대상으로 정착경로 및 주거입지 특성을 살펴보고, 이주민의 주택 소유구조와 주거 입지요인 선호에 영향을 미치는 요인을 분석하는 것을 목적으로 한다. 분석결과를 요약하면 다음과 같다. 첫째로, 이주민들의 정착경로를 보면, 초기 정착지는 한인타운이지만 이후 백인 주류층 거주지로 주거지를 이동하는 공간적 동화 유형과, 이주 초기부터 백인 주류층 거주지에 정착하는 유형이 대표적이다. 둘째로, 이주민의 현재 주거입지 결정요인에 대한 이항로짓분석 결과를 보면, 저소득층, 이주당시 연령이 높은 집단, 이주기간이 10년 이하인 집단, 주택을 소유하지 않은 집단에서는 한인타운을 거주지로 선택한 반면, 고자산층, 이주당시 연령이 낮은 집단, 주택을 소유한 집단, 미혼, 고학력자, 이주기간이 10년 이상인 집단에서는 백인주류층을 거주지로 선택한 것으로 확인된다. 셋째로, 이주민의 주택 소유구조 특성을 보면, 이주민들은 이주기간이 10년을 지나고, 소득수준이 6만 달러를 넘게 되면서 백인 주류층 거주지역의 단독주택을 보유하는 경향을 보인다. 넷째로, 주거 입지요인의 중요도에 대한 분산분석 결과를 보면, 고소득층 및 자가주택 거주자 집단은 경제성, 자연환경, 주택 내부시설의 우수성, 백인 주류층 네트워크와 같은 입지요인을 더 선호하는 것으로 나타난다. 이러한 연구결과를 통해 볼 때, 향후 경제적으로 성공한 이주민들과 그렇지 못한 이주민들 간에 주거지 양극화가 더 커질 것으로 보이며, 한인타운의 역할과 입지에도 변화가 예상된다.