• 경영과정보연구
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• 제25권
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• pp.35-55
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• 2008

We draw on well-established thinking in the complementary fields of organization theory and strategic management to develop a model explaining why fit among a firm's competitive strategy, its structure, and its technology is a prerequisite for superior performance. The contributions of this theoretical treatise are twofold. Firstly, it helps reduce the disconnect in thinking that exists between the strategy and organization-theory literatures on business-level issues. Secondly, it reveals the importance of managing the coalignment among strategy, structure, and technology which, in turn, forces recognition that competitive advantage does not exist in a static state but in a dynamic condition.

• Industrial Engineering and Management Systems
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• 제12권2호
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• pp.130-142
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• 2013

Social Networking Service (SNS) is prevailing rapidly in Japan in recent years. The most popular ones are Facebook, mixi, and Twitter, which are utilized in various fields of life together with the convenient tool such as smart-phone. In this work, a questionnaire investigation is carried out in order to clarify the current usage condition, issues and desired functions. More than 1,000 samples are gathered. Bayesian network is utilized for this analysis. After conducting the sensitivity analysis, useful results are obtained. Differences in usage objectives and SNS sites are made clear by the attributes and preference of SNS users. They can be utilized effectively for marketing by clarifying the target customer through the sensitivity analysis.

• 패션비즈니스
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• 제10권6호
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• pp.131-145
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• 2006

The study used 24 clothing salespersons who had turnover experiences. It used a qualitative research method, through which the following turnover motives were found. The turnover motives can be classified into two: voluntary and non-voluntary. The voluntary turnover motives include marriage, career change, wages, human relationship, family moving, study abroad, health problems, and so forth. This study finds that some salespersons made a turnover because they did not like the products and brand or they preferred another products and brand. This kind of turnover is unique in the field of clothing sales and seldom found in the motives of salesperson turnover in other fields. The non-voluntary turnover motives are caused by non-personal, circumstantial factors which include the bankruptcy of companies due to economic depression, withdrawal of salesroom from department stores due to low sales, etc. This means that the creation, rise, and fall of fashion brands are closely related to frequent turnover of clothing sale associates. As there are various motives for the salesperson turnover, so it is necessary for the clothing industry to examine and investigate the trends of its salespersons and establish an appropriate policy to cope with the matter.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권8호
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• pp.2944-2958
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• 2021

Today, online education is becoming more important. The effectiveness of online education has been measured by student satisfaction and the possibility of substituting offline education. This study proposes a plan to increase the effectiveness of education in a new form by using online information. Education is the process of socializing and growing learners. Representative negative emotions experienced by learners are stress, anxiety, and depression (SAD). A reduction in SAD will promote student growth and improve educational outcomes. This paper considers online information by dividing it into online educational information support (OEDIS) and online emotional information support (OEMIS). We demonstrate that OEDIS reduces SAD, and OEMIS reduces stress and anxiety. By providing online information, negative emotions can be reduced, and educational outcomes can be improved. This study suggests a new role for online information support, such as emotional change in individuals and solving psychological problems. Online information support goes beyond knowledge transfer and can be used in various fields, such as online education that promotes human growth and positive change, and even healthcare.

• 한국멀티미디어학회논문지
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• 제22권9호
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• pp.1132-1139
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• 2019

Big data is prominently used as a prediction method in achieving a goal, because it can analyze the regularities to predict future results from a vast amount of past data. Furthermore, big data has huge influence in very diverse academic fields. On such awareness, this study analyzed the regular effect of e-Commerce usefulness from the effects which expectations on big-data service affect the usage purpose of e-Commerce usefulness. This study categorized e-Commerce usefulness into quality recognition, service, and ease, and studied how each category works between the relationship of big-data service expectation and the use intention.

• 동아시아경상학회지
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• 제10권3호
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• pp.41-50
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• 2022

Purpose - Through multinational corporate ethics and environmental, social, and governance (ESG), various policy and strategic countermeasures for transparent management in the management and economic fields are presented. Research design, data, and methodology - A literature review is conducted to find important areas for transparent management and to summarize and present transparent management countermeasures based on simple brainstorming opinions from experts. Result - Issues facing transparent management are presented. In particular, multinational enterprises present cases involving prevention of transfer prices and tax avoidance in relation to Industry 4.0. Additionally, a plan is presented to establish a corruption-free economic system through the practice of ESG transparency, ethical management of social enterprises, and transparent management. Conclusion - According to the brainstorming opinions of experts, ESG management and ethical management should be the cornerstone of transparent management in the future. Therefore, it is necessary to institutionally supplement the imposition of digital taxes on fourth industrial companies.

• 한국수산과학회지
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• 제56권2호
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• pp.243-252
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• 2023

Fluctuations in the price of aquaculture products have recently intensified. In particular, wholesale price fluctuations are adversely affecting consumers. Therefore, there is an emerging need for a study on forecasting the wholesale price of aquaculture products. The present study forecasted the wholesale price of olive flounder Paralichthys olivaceus, a representative farmed fish species in Korea, by constructing multivariate long-short term memory (LSTM) and gated recurrent unit (GRU) models. These deep learning models have recently been proven to be effective for forecasting in various fields. A total of 191 monthly data obtained for 17 variables were used to train and test the models. The results showed that the mean average percent error of LSTM and GRU models were 2.19% and 2.68%, respectively.

• Asia pacific journal of information systems
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• 제32권1호
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• pp.168-190
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• 2022

This review aims to synthesize social network theories by drawing on the importance of social network perspectives in understanding knowledge management with technology in organizations. I provide an overview of prior social network research with the following core ideas: the primacy of relations between organizational actors, the utility of actors' embeddedness in social fields, the social utility of network connections, and the structural patterning of social life. On top of that, I summarize critical social perspectives (the social capital theory, the structural hole theory, the embeddedness perspective, the social exchange theory, the organizational learning theory, and the innovation diffusion theory) to suggest potential research questions for future studies in social network research in the knowledge management discipline.

• 한국산업융합학회 논문집
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• 제27권2_2호
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• pp.467-473
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• 2024

Metaheuristics' impact is profound across many fields, yet domestic financial portfolio optimization research falls short, particularly in asset allocation. This study delves into metaheuristics for portfolio optimization, examining theoretical and practical benefits. Findings indicate portfolios optimized via metaheuristics outperform the Dow Jones Index in Sharpe ratios, underscoring their potential to enhance risk-adjusted returns significantly. Tabu search, in comparison to Simulated Annealing, demonstrates superior performance by efficiently navigating the search space. Despite these advancements, practical application remains challenging due to the complexities in metaheuristic implementation. The study advocates for broader algorithmic exploration, including population-based metaheuristics, to refine asset allocation strategies further. This research marks a step towards optimizing portfolios from an extensive array of financial assets, aiming for maximum efficacy in investment outcomes.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2003년도 추계학술대회 및 정기총회
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• pp.197-200
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• 2003

A performance measure is the critical work of business processes. Especially it is necessary to explore and forecast the profits per hour through this activity. However there have been rarely studied on specific fields, like the steel industry. Therfore this study analyzes and evaluates the time based performance of the steel industry using data mining.