• 제목/요약/키워드: Innovation Strategy

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정보보호 관점에서의 오픈뱅킹 수용도에 대한 영향요인 (Factors to Affect Acceptance of Open Banking from Information Security Perspectives)

  • 고정현;이원부
    • 한국IT서비스학회지
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    • 제20권6호
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    • pp.63-81
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    • 2021
  • Joint financial network of Korea Financial Telecommunications and Clearings Institute, which is an essential facility with a natural monopoly, maintained its closedness as monopoly/public utility model, but it has evolved in the form of open banking in order to obtain domestic fintech competitiveness in the rapidly changing digital financial ecosystem such as the acceleration of Big Blur. In accordance with digital transformation strategy of financial institutions, various ICT companies are actively participating in the financial industries, which has been exclusive to banks, through the link technology called Open API. For this reason, there has been a significant change in the financial service supply chain in which ICT companies participate as users. The level of security in the financial service supply chain is determined based on the weakest part of the individual components according to the law of minimum. In addition, there is a perceived risk of personal information and financial information leakage among the main factors that affect users' intention to accept services, and appropriate protective measures against perceived security risks can be a catalyst, which increases the acceptance of open banking. Therefore, this is a study on factors affecting the introduction of open banking to achieve financial innovation by developing an open banking security control model for financial institutions, as a protective measures to user organizations, from the perspectives of cyber financial security and customer information protection, respectively, and surveying financial security experts. It is expected, from this study, that effective information protection measures will be derived to protect the rights and interests of financial customers and will help promote open banking.

푸드 온라인 플랫폼 비즈니스 프레시코드 사례: 린 스타트업 방식을 중심으로 (A Case Study on Freshcode for the Food Online Platform Business: A Focus on the Lean Start-Up)

  • 김차영;박철
    • 한국IT서비스학회지
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    • 제20권5호
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    • pp.89-104
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    • 2021
  • Food delivery service combined with IT technology and HMR (Home Meal Replacement) are rapidly growing due to the COVID-19. Recently, the demand for salads along with HMR has increased among office workers in their 20s and 30s who are interested in health and beauty. Freshcode is a food startup with 6 years of experience that started selling salad products through O2O service. Freshcode applied for a patent for a service that collects orders from nearby areas and delivers them on the same day to a designated delivery address 'FCOSPOT' to save shipping costs. In March 2021, in recognition of the growth potential of the regular delivery service, Freshcode received an investment of 6 billion won in Series A. This study may have practical implications to early-stage startups and scale-up stage startups through a longitudinal case study on the growth of a single company. As for the research method, the lean startup methodology and lean canvas were used in the early stage of startup. In particular, the process of the build-measure and learn feedback-loop, which is the core of lean startup methodology, was applied to each major decision-making step. In the scale-up stage after 5 years, the business model canvas was used to schematize the growth as a food online O2O platform to verify continuous innovation. This case study has three main findings. First, the idea of 'FCOSPOT' was successfully implemented through the Lean Startup methodology. Second, Freshcode demonstrated the scalability of the differentiated business model of shared base delivery O2O. Third, a key factor of success was the digital integrated communication operation strategy that maximizes the experience for the created customers.

기업 안전문화 활동 지원에 대한 참여기업의 인식과 지원방안 연구 (An Investigation to Encourage the Safety Culture in Small to Medium Size Industry)

  • 정지민;김슬기;이경선;문광수;최원창;진상은
    • 한국안전학회지
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    • 제37권5호
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    • pp.56-61
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    • 2022
  • In this study, a systematic survey was employed to investigate managers' awareness on the safety culture project in small- to medium-sized industries. The existing regulatory and technology-oriented disaster prevention strategy has been implemented to reduce industrial accidents within a short timeframe, but it is essential to reduce fundamental accidents as well by improving the organizational safety culture or software elements, such as safety awareness. Questionnaires and interviews were conducted to examine the managers' awareness about safety culture, consisting of 17 questions related to safety consulting and with the participation of 191 executives and safety managers. The results showed a significant difference in the self-pay rate of safety consulting depending on the size of the workplace under evaluation. Based on the results, the safety-consulting business focused on providing differentiated consulting support and realistic improvement plans according to the workplace size. The study concluded that it is possible to reduce fundamental human errors and improve organizations' safety awareness or safety culture by employing safety consulting differentiated by workplace size.

코로나19 이후 ICT 중소벤처기업 정책 딜레마분석 (A Policy Dilemma Analysis on ICT SMEs after COVID19)

  • 이중만;조상섭
    • Journal of Information Technology Applications and Management
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    • 제29권4호
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    • pp.1-16
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    • 2022
  • This study analyzed the policy dilemma for ICT SMEs venture companies that changed after COVID-19 based on the results of the cognitive map analysis for ICT SMEs venture policies. First, as a result of analyzing the cognitive map of ICT SMEs venture companies that have changed since COVID-19, ICT venture companies are expanding support for ICT venture companies due to the threat of COVID-19. However, in order to convert COVID-19 into an opportunity factor, it also shows a policy direction to achieve innovative growth by creating a new market through non-face-to-face industry revitalization based on digital transformation (digital new deal). As a result of the study, the policy measures of supporting DNA-centered convergence innovation technology, digital transformation (digital new deal), fostering ICT startups (K-Global project), and expanding support for ICT SMEs did not have a policy dilemma. However, although many support has been expanded for ICT SMEs due to COVID-19, it is difficult to find and foster ICT start-up companies, and globalization problems are occurring due to the decrease in exports to COVID-19, making it difficult to create new markets. There is a negative (-) perception of causality that ICT SMEs venture companies may face risks as jobs decrease and innovative growth cannot be led to the revitalization of the non-face-to-face industry. Therefore, it was found that both the flow of causal relationship between the expansion of support for ICT SMEs and the high growth of ICT SMEs is not + and has a policy dilemma in part.

New Distribution Strategies of Korean SMEs in Post COVID-19 Pandemic Era: Focusing on the Innovation of Official Distribution Channels

  • Lee, Min-Jae;Jung, Jin-Sup
    • Journal of Korea Trade
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    • 제25권3호
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    • pp.153-168
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    • 2021
  • Purpose - In this study, we aim to explore new distribution strategies for sustainable growth in the era of the 4th industrial revolution, focusing on SMEs (small and medium-sized enterprises) in Korea, and suggest ways to upgrade the government's official distribution channel to the next level. Design/methodology - First of all, this paper explored the prior research, the current status of sales support for SMEs, and the changes in the distribution industry due to COVID-19 pandemic. Based on Moon (2016)'s ABCD strategic model - Agility, Benchmarking, Convergence, and Dedication, the study then derived directions in which official distribution channels should move and the new distribution strategy for Korean SMEs to secure competitive advantage. Findings - First, in terms of 'Agility', in order to upgrade official distribution channels, which are currently at some competitive disadvantages compared to private distribution companies, we must quickly introduce technologies for the 4th industrial revolution, such as AI, Big Data, etc., and establish precise strategies to strengthen the capabilities of SMEs. Second, in terms of 'Benchmarking', the use of "Chamelezones" has been increasing to enhance the competitiveness of offline stores in line with recent ontact trends. Therefore, official distribution channels should also benchmark such cases, strengthening their competitiveness by utilizing offline spaces more efficiently and effectively. Third, in terms of 'Convergence', in line with the rapidly changing trend of the times, official distribution channels should also promote active partnerships with media commerce, e-commerce and ICT platforms, as well as cooperation with private retailers, and focus on creating synergy effects through them. Finally, from the perspective of 'Dedication', digitalization should be promoted step by step, finding the sector that can accelerate digital among the value chains of official distribution channels, and continuing to discuss how to digitize it realistically. Originality/value - Based on this analysis, we have presented strategies and implications for innovating official distribution channels for SMEs, which will contribute to enhancing the competitive advantage of official distribution channels in the post COVID-19 pandemic era.

A deep learning-based approach for feeding behavior recognition of weanling pigs

  • Kim, MinJu;Choi, YoHan;Lee, Jeong-nam;Sa, SooJin;Cho, Hyun-chong
    • Journal of Animal Science and Technology
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    • 제63권6호
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    • pp.1453-1463
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    • 2021
  • Feeding is the most important behavior that represents the health and welfare of weanling pigs. The early detection of feed refusal is crucial for the control of disease in the initial stages and the detection of empty feeders for adding feed in a timely manner. This paper proposes a real-time technique for the detection and recognition of small pigs using a deep-leaning-based method. The proposed model focuses on detecting pigs on a feeder in a feeding position. Conventional methods detect pigs and then classify them into different behavior gestures. In contrast, in the proposed method, these two tasks are combined into a single process to detect only feeding behavior to increase the speed of detection. Considering the significant differences between pig behaviors at different sizes, adaptive adjustments are introduced into a you-only-look-once (YOLO) model, including an angle optimization strategy between the head and body for detecting a head in a feeder. According to experimental results, this method can detect the feeding behavior of pigs and screen non-feeding positions with 95.66%, 94.22%, and 96.56% average precision (AP) at an intersection over union (IoU) threshold of 0.5 for YOLOv3, YOLOv4, and an additional layer and with the proposed activation function, respectively. Drinking behavior was detected with 86.86%, 89.16%, and 86.41% AP at a 0.5 IoU threshold for YOLOv3, YOLOv4, and the proposed activation function, respectively. In terms of detection and classification, the results of our study demonstrate that the proposed method yields higher precision and recall compared to conventional methods.

The effects of early exercise in traumatic brain-injured rats with changes in motor ability, brain tissue, and biomarkers

  • Kim, Chung Kwon;Park, Jee Soo;Kim, Eunji;Oh, Min-Kyun;Lee, Yong-Taek;Yoon, Kyung Jae;Joo, Kyeung Min;Lee, Kyunghoon;Park, Young Sook
    • BMB Reports
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    • 제55권10호
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    • pp.512-517
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    • 2022
  • Traumatic brain injury (TBI) is brain damage which is caused by the impact of external mechanical forces. TBI can lead to the temporary or permanent impairment of physical and cognitive abilities, resulting in abnormal behavior. We recently observed that a single session of early exercise in animals with TBI improved their behavioral performance in the absence of other cognitive abnormalities. In the present study, we investigated the therapeutic effects of continuous exercise during the early stages of TBI in rats. We found that continuous low-intensity exercise in early-stage improves the locomotion recovery in the TBI of animal models; however, it does not significantly enhance short-term memory capabilities. Moreover, continuous early exercise not only reduces the protein expression of cerebral damage-related markers, such as Glial Fibrillary Acid Protein (GFAP), Neuron-Specific Enolase (NSE), S100β, Protein Gene Products 9.5 (PGP9.5), and Heat Shock Protein 70 (HSP70), but it also decreases the expression of apoptosis-related protein BAX and cleaved caspase 3. Furthermore, exercise training in animals with TBI decreases the microglia activation and the expression of inflammatory cytokines in the serum, such as CCL20, IL-13, IL-1α, and IL-1β. These findings thus demonstrate that early exercise therapy for TBI may be an effective strategy in improving physiological function, and that serum protein levels are useful biomarkers for the predicition of the effectiveness of early exercise therapy.

A Model of Artificial Intelligence in Cyber Security of SCADA to Enhance Public Safety in UAE

  • Omar Abdulrahmanal Alattas Alhashmi;Mohd Faizal Abdullah;Raihana Syahirah Abdullah
    • International Journal of Computer Science & Network Security
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    • 제23권2호
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    • pp.173-182
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    • 2023
  • The UAE government has set its sights on creating a smart, electronic-based government system that utilizes AI. The country's collaboration with India aims to bring substantial returns through AI innovation, with a target of over $20 billion in the coming years. To achieve this goal, the UAE launched its AI strategy in 2017, focused on improving performance in key sectors and becoming a leader in AI investment. To ensure public safety as the role of AI in government grows, the country is working on developing integrated cyber security solutions for SCADA systems. A questionnaire-based study was conducted, using the AI IQ Threat Scale to measure the variables in the research model. The sample consisted of 200 individuals from the UAE government, private sector, and academia, and data was collected through online surveys and analyzed using descriptive statistics and structural equation modeling. The results indicate that the AI IQ Threat Scale was effective in measuring the four main attacks and defense applications of AI. Additionally, the study reveals that AI governance and cyber defense have a positive impact on the resilience of AI systems. This study makes a valuable contribution to the UAE government's efforts to remain at the forefront of AI and technology exploitation. The results emphasize the need for appropriate evaluation models to ensure a resilient economy and improved public safety in the face of automation. The findings can inform future AI governance and cyber defense strategies for the UAE and other countries.

Evaluation of Commercial Pheromones on the Population Dynamics of Spodoptera frugiperda (J. E. smith) and Mythimna loreyi (Duponchel) (Lepidoptera: Noctuidae)

  • Seo Yeon Hong;Hwi Jong Yi;Young Nam Yoon;Yun Woo Jang;Ki Do Park;Rameswor Maharjan
    • 한국작물학회지
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    • 제67권4호
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    • pp.285-295
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    • 2022
  • The trapping efficacy of five commercially available sex pheromones manufactured in Korea, the Netherlands, North America, China, and Costa Rica was evaluated to determine the population dynamics of Spodoptera frugiperda and Mythimna loreyi and their relationships with the weather parameters of maize fields in Miryang, Gyeongnam Province, Korea in 2019. The results show that the sex pheromone manufactured in Costa Rica were more efficient at capturing S. frugiperda and M. loreyi than those manufactured in other countries. The lowest number of S. frugiperda moths were captured using sex pheromones manufactured in the Netherlands. We noted that more than four population peaks of both the moth species and weather parameters influenced the moth population dynamics in Miryang. A positive relationship was observed between the population of S. frugiperda and weather parameters, such as mean temperature, rainfall, and relative humidity, for sex pheromones manufactured in Korea. Furthermore, a positive relationship was recorded between the population of M. loreyi and wind speed for the sex pheromone manufactured in Korea. The results of this study suggest that the sex pheromones manufactured in Costa Rica are the best solution for the efficient capture of S. frugiperda and M. loreyi under typical weather conditions in the southern parts of Korea. In addition, the outcomes of this study are discussed in terms of population dynamics and integrated pest management for S. frugiperda and M. loreyi as alternatives to chemical management by maize producers. Further studies related to the continuous improvement in the capture efficiency of both moth species using sex pheromones are now needed.

Ginsenoside Rg3, a promising agent for NSCLC patients in the pandemic: a large-scale data mining and systemic biological analysis

  • Zhenjie Zhuang;Qianying Chen;Xiaoying Zhong;Huiqi Chen;Runjia Yu;Ying Tang
    • Journal of Ginseng Research
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    • 제47권2호
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    • pp.291-301
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    • 2023
  • Introduction: Non-small cell lung cancer (NSCLC) patients are particularly vulnerable to the Coronavirus Disease-2019 (COVID-19). Currently, no anti-NSCLC/COVID-19 treatment options are available. As ginsenoside Rg3 is beneficial to NSCLC patients and has been identified as an entry inhibitor of the virus, this study aims to explore underlying pharmacological mechanisms of ginsenoside Rg3 for the treatment of NSCLC patients with COVID-19. Methods: Based on a large-scale data mining and systemic biological analysis, this study investigated target genes, biological processes, pharmacological mechanisms, and underlying immune implications of ginsenoside Rg3 for NSCLC patients with COVID-19. Results: An important gene set containing 26 target genes was built. Target genes with significant prognostic value were identified, including baculoviral IAP repeat containing 5 (BIRC5), carbonic anhydrase 9 (CA9), endothelin receptor type B (EDNRB), glucagon receptor (GCGR), interleukin 2 (IL2), peptidyl arginine deiminase 4 (PADI4), and solute carrier organic anion transporter family member 1B1 (SLCO1B1). The expression of target genes was significantly correlated with the infiltration level of macrophages, eosinophils, natural killer cells, and T lymphocytes. Ginsenoside Rg3 may benefit NSCLC patients with COVID-19 by regulating signaling pathways primarily involved in anti-inflammation, immunomodulation, cell cycle, cell fate, carcinogenesis, and hemodynamics. Conclusions: This study provided a comprehensive strategy for drug discovery in NSCLC and COVID-19 based on systemic biology approaches. Ginsenoside Rg3 may be a prospective drug for NSCLC patients with COVID-19. Future studies are needed to determine the value of ginsenoside Rg3 for NSCLC patients with COVID-19.