• East Asian Journal of Business Economics (EAJBE)
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• v.9 no.1
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• pp.1-16
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• 2021

Purpose - This study aims to analyze 7-Eleven's specific competitive advantage strategy according to changes in the Japanese convenience store industry by selecting 7-Eleven, a leading company in the Japanese convenience store industry, as a representative case study. Research design, data, and methodology - Due to the current COVID-19 situation, fact-finding such as interviews with key managers through visiting surveys was not possible, so this case study was carried out based on the literature such as official and unofficial data collected from the companies through e-mail and articles that have been published outside. Result - As a result of the analysis, the researcher found that five competing strategy factors, such as dominant strategy, innovative logistics system strategy, information system development strategy, joint product development strategy, and direct communication strategy have closely maintained the mutual relation to form a combined strategy focusing on the franchise development strategy. Conclusion - The competitive advantage of 7-Eleven is thought to have secured its competitive advantage by combining the five competitive strategies complementarily for rapid response to change, cost advantage, and differentiated advantage. The management implications specified in this study can be considered a reference for establishing a competitive strategy for sustainable growth of the convenience store industry in the fierce competition and saturated market environment of Korean convenience stores.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.12
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• pp.4748-4762
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• 2020

Recently, the COVID 19 pandemic has affected on our daily lives and society in many ways. Specifically, it has brought rapid changes in the working environment from office working to smart telecommuting. In addition, cloud computing technology and services not only provided ubiquitous access, but also led to a sharing of information, internal-external communication channels, telework, and innovative smart work for the business process. As a result, smart work services based on social cloud networking have spread to the public sector. However, existing academic research examining smart work merely remains to focus on the theoretical conceptualization or to deal with merely several examples of private views. Best practices of smart work services based on cloud computing technology in the public field rarely exists. Moreover, many studies have been differently measured the values of smart work for private and public sectors depending on organizational singularities. Therefore, the study aims to define new theoretical implications and to explore future business strategies and policy directions based on a technical working group's personal psychological subjectivity. The research applied Q methodology, and selected five public organizations in Korea, that they have adopted or currently plan to adopt some part of smart work services.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.394-398
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• 2022

The article determines that the study of the development of scientific and didactic knowledge about the educational process in higher education should be built mainly on the basis of qualitative research methods that ensure the identification and understanding of the changes taking place in didactic knowledge, in the unity of their internal and external manifestations. On the basis of the epistemological model of the study of science, a generalized model of didactic knowledge about the educational process in higher education, including didactic relations as a theoretical core, subject of research, research methods and positions of researchers, ways of interaction between science and educational practice, and thematic structures of didactic knowledge; scientific and methodological problems of didactic knowledge about the educational process in higher education at the present stage of its developments due to the post-nonclassical transformation and orientation of research towards the humanitarian ideal of scientific character.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.6
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• pp.487-496
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• 2021

The analysis method of the microbiome has been evolving for a very long time, and the industrial field has grown rapidly with the start of human genome analysis 20 years ago. As continuous research continues, related industries have grown together, and among them, Illumina of the US has been leading the popularization of DNA analysis by developing innovative equipment and analysis methods since its establishment in 1998. In this paper, 'AiB Index', 'AiB Chart' using statistical process control and log-scale technique to analyze the gut microbiome analysis methodology and implement an algorithm that can analyze minute changes in the minor strains that can be overlooked in the existing analysis methods. want to implement. From the data analysis point of view, we proposed a platform for analyzing gut microbes that can collect fecal data, match and process gut microbes, and store and visualize the results.

• Textile Coloration and Finishing
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• v.34 no.2
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• pp.127-133
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• 2022

With the increasing interest in the expression of individuality and appearance of modern people, it is time to conduct research and development of novel hair coloring from various angles. Therefore, taking into account the order of discoloration of hair pigments, we selected a creative and novel emulsion as a novel material for hair coloring, rather than a cosmetic material such as hot water extract using natural products dealt with in previous studies, commercially available hair manicure, and oxidation hair dye for hair. Thus, the change in tensile strength and elongation of hair samples by color was studied. As a result of the study, hair with green emulsion paint had a significantly higher maximum load, maximum stress, maximum elongation and breaking load, breaking stress, breaking elongation values are shown. Maximum in terms of modulus, green emulsion applied hair and the control group were higher in the 0-15s strain and 15-145s sections, respectively, and the tangential modulus value was much higher in the control group than the experimental group hairs in all the 0-145s sections. This study, which analyzes the dynamic changes of hair samples that extend the daily color gamut, will greatly contribute to the development of innovative hair coloring materials in the research and production of hair beauty works, and it is judged that it will also contribute to the development of the beauty industry.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.349-355
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• 2021

The article investigates the conceptual principles of transformation of industrial parks into eco-industrial ones in the conditions of sustainable development. It is substantiated that the concept of sustainable development in the transformation of industrial parks is to grow industry and jobs, modernize production and introduce innovative technologies, resource and energy efficiency, reduce greenhouse gas emissions and waste storage, social protection of local communities and create favorable infrastructure. It is determined that for the transformation of industrial parks, it is necessary to improve regulatory changes, introduce criteria for compliance of industrial parks and the importance of their consideration, ensure park management by the management company and create favorable incentives for industrial entry into industrial symbiosis. It is proved that industrial parks can be an incentive for industrial development and competitiveness of enterprises. The availability of talented human capital, attractive territories, minerals, energy and mineral resources, developed domestic market, agricultural potential, transport networks is becoming an attractive place for investment and development. Industrial parks need investment. Transformation into eco-industrial parks through the implementation of sustainable development goals opens additional opportunities for access to investment funds and contributes to the implementation of growth and prosperity strategies of the country.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 2006.06a
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• pp.19-29
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• 2006

Drying is the least developed of all unit operations of paper and board manufacture. While groundbreaking developments were Introduced during the several past decades in forming, pressing and calendering, no radical changes occurred in drying. The cylinder-drying technology is now more than 200 years old and, while it was subject to many incremental improvements, many of its inherent problems persist. We believe that conventional drying is now approaching the end of its life and the industry is ready for a major breakthrough in drying. Indeed several innovative technologies already exist at various stages of development or commercialization. In general, the novel drying technologies are striving to increase the drying rate, improve the product quality and boost the energy efficiency of drying. A novel, drying method, $Papridry^{TM}$, which combines conductive and convective heat transfer to obtain very high drying rates, is at an advanced stage of development at Paprican. The results obtained when drying printing paper ana board on a self-standing pilot $Papridry^{TM}$ machine and on the pilot paper machine equipped with a tandem of two $Papridry^{TM}$ units demonstrate both, the high drying rate and improved product quality achieved by using this drying method. A mathematical model of this operation has been developed and the software compiled with this model was used to calculate the effect of installing a $Papridry^{TM}$ unit into an existing dryer section. The model also allows to calculate the z-direction distribution of moisture and temperature at various points of the dryer section.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.104-108
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• 2023

This paper deals with research on innovative systems using Python-based artificial intelligence technology in the field of plant growth monitoring. The importance of monitoring and analyzing the health status and growth environment of plants in real time contributes to improving the efficiency and quality of crop production. This paper proposes a method of processing and analyzing plant image data using computer vision and deep learning technologies. The system was implemented using Python language and the main deep learning framework, TensorFlow, PyTorch. A camera system that monitors plants in real time acquires image data and provides it as input to a deep neural network model. This model was used to determine the growth state of plants, the presence of pests, and nutritional status. The proposed system provides users with information on plant state changes in real time by providing monitoring results in the form of visual or notification. In addition, it is also used to predict future growth conditions or anomalies by building data analysis and prediction models based on the collected data. This paper is about the design and implementation of Python-based plant growth monitoring systems, data processing and analysis methods, and is expected to contribute to important research areas for improving plant production efficiency and reducing resource consumption.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.325-333
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• 2022

This study examined the influence of three elements of individual entrepreneurial orientation (IEO), namely innovativeness, risk-taking, and proactiveness on the performance of small and medium enterprises (SMEs). It is worth noting that SMEs have experienced low productivity, low profit, and low performance during the COVID-19 pandemic era. Although several studies have shown that entrepreneurial orientation (EO) is a key factor of company performance, few have focused on IEO. This study employed a quantitative research design because all variables were measurable. It used a questionnaire to survey 384 SMEs in the service sector and employed structural equation modeling (SEM) in data analysis. The findings suggested that SMEs' performance was influenced by risk-taking and proactiveness. This could be related to the fact that SMEs have a less formal structure, allowing owner-managers to take risks and make quick decisions. Furthermore, high performance was ensured by being very sensitive to market trends and changes in the business environment. Innovativeness was not a significant factor in influencing the performance of SMEs. Perhaps it was rather difficult for SME owner-managers to be innovative due to the lack of various resources. This study successfully re-confirmed the effect of IEO on business performance and highlighted the importance of risk-taking and proactiveness in improving the performance of SMEs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.5
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• pp.1484-1502
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• 2023

The medical sector actively changes and implements innovative features in response to technical development and revolutions. Many of the most crucial elements in IoT-connected health services are safeguarding critical patient records from prospective attackers. As a result, BlockChain (BC) is gaining traction in the business sector owing to its large implementations. As a result, BC can efficiently handle everyday life activities as a distributed and decentralized technology. Compared to other industries, the medical sector is one of the most prominent areas where the BC network might be valuable. It generates a wide range of possibilities and probabilities in existing medical institutions. So, throughout this study, we address BC technology's widespread application and influence in modern medical systems, focusing on the critical requirements for such systems, such as trustworthiness, security, and safety. Furthermore, we built the shared ledger for blockchain-based healthcare providers for patient information, contractual between several other parties. The study's findings demonstrate the usefulness of BC technology in IoHT for keeping patient health data. The BDSA-IoHT eliminates 2.01 seconds of service delay and 1.9 seconds of processing time, enhancing efficiency by nearly 30%.