• The Journal of Asian Finance, Economics and Business
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• 제7권1호
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• pp.291-299
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• 2020

The purpose of this study focuses on finding the influences of social capital on personal happiness by studying service industry employees. This current study utilized a questionnaire survey method which was used to collect the analysis data, from July 20 to August 10 in 2019. 281 questionnaires were gathered in Korea and the statistical analysis was conducted. This study recognized social capital as 3 independent variables and personal happiness as a dependent variable. Social capital is composed of the social network, social trust and social norms. First, the social network consisted of the satisfaction degree in one's social relations and the social interaction degree. Second, social trust is composed of the trust degree with ones neighbors in the same local area. Last, social norms are consisted of reciprocity, participation and a sense of belonging one feels in the same society. The findings of this study were as follows: first, it was found that social network, social trust, and social norms made affirmative influences on personal happiness of the employees. Second, the social network and social norms made statistically significant influences with personal happiness, but social trust was shown to not have similar influence.

• 디지털산업정보학회논문지
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• 제7권1호
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• pp.111-125
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• 2011

Smartphone is becoming as a core device of mobile environment. The purpose of this study is to investigate the factors affecting customer's buying decision on smartphone. Based on prior studies and cases, this study identifies network effect, switching cost, function, design, brand, after service, price as affecting factors of customer's buying decision on smartphone. It also aims to investigate the relationship between network effect/switching cost and re-purchasing. Result shows that network effect brand, after service are significantly related to customer's buying decision on smartphone by device types, but switching cost, function, design, price are not. Network effect also was found to be significantly related to the re-purchasing. The result of this study may provide a guideline of supply strategy with smartphone suppliers.

• 유통과학연구
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• 제14권12호
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• pp.61-69
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• 2016

Purpose - This study investigates the determinants that affect the number of IT Incident tickets of an IT Service Provider ("ITSP") to logistics industry in order to improve its management process by reducing the incident tickets. Research design, data, and Methodology - This study uses weekly data of IT incident tickets from September 2012 to June 2015. Correlation and regression analyses are conducted. Six identified determinants i.e., IT Change, User Errors, Shipment Volume, Network, Hardware and Software Issues are used as the explanatory variables. Results - Our findings show as following. First, our analysis indicates that IT Change is not a significant determinant as opposed to what commonly believed by many as the most important factor. Second, Software issue is the highest contributor to the Major IT incident tickets, followed by User Error, Network and Hardware issues. Third, it seems there is lead-lag relationship between IT Change and Major IT Incidents tickets as indicated by earlier studies. Fourth, the relationship between IT Change and Major IT tickets is also affected by shipment volume. Conclusions - As policy recommendation, all identified determinants should be treated according to priority. In addition, improving the way IT Changes are implemented will definitely reduce the IT incident tickets.

• 디지털산업정보학회논문지
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• 제19권4호
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• pp.87-96
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• 2023

ChatGPT, a leader in generative AI, can use natural expressions like humans based on large-scale language models (LLM). The ability to grasp the context of the language and provide more specific answers by algorithms is excellent. It also has high-quality conversation capabilities that have significantly developed from past Chatbot services to the level of human conversation. In addition, it is expected to change the operation method of the tourism industry and improve the service by utilizing ChatGPT, a generative AI in the tourism sector. This study was conducted to explore ChatGPT trends and paradigms in tourism. The results of the study are as follows. First, keywords such as tourism, utilization, creation, technology, service, travel, holding, education, development, news, digital, future, and chatbot were widespread. Second, unlike other keywords, service, education, and Mokpo City data confirmed the results of a high degree of centrality. Third, due to CONCOR analysis, eight keyword clusters highly relevant to ChatGPT in the tourism sector emerged.

• 디지털산업정보학회논문지
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• 제8권2호
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• pp.117-130
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• 2012

Due to the development of network and device, it is called mobile age that boosts various distribution routes of multi-media content and it constructs a new digital content consumption trend. N-screen is one of the new-introduced examples in the digital age and broadcasting industry believes it as a crisis and challenge as well. It becomes a ubiquitous multi-media environment that people watch multi-media content everywhere and any time they want to and competition happens beyond the boundaries such as network industry, terminal industry, pay TV market, traditional terrestrial TV, etc. And then how should the broadcasting service prepare for the N-screen business? The present research proposes a few terrestial broadcasting content strategies in the multi platform environment. First, instead of N-screen, it proposes multi platform, especially One Source Multi Platform(OSMP). Second, so-called 'Integrated Terrestrial Broadcasting OSMP Alliance(IBPA)' must be founded. Third, IBPA should support multi-tasking UX for viewers to have rich experience. Last, it becomes more important and necessary to support local terrestrial broadcasting service for public service in the multi platform age.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권3호
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• pp.896-915
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• 2023

The network function virtualization (NFV) uses virtualization technology to separate software from hardware. One of the most important challenges of NFV is the resource management of virtual network functions (VNFs). According to the dynamic nature of NFV, the resource allocation of VNFs must be changed to adapt to the variations of incoming network traffic. However, the significant delay may be happened because of the reallocation of resources. In order to balance the performance between delay and quality of service, this paper firstly made a compromise between VNF migration and energy consumption. Then, the long short-term memory (LSTM) was utilized to forecast network traffic. Also, the asymmetric loss function for LSTM (LO-LSTM) was proposed to increase the predicted value to a certain extent. Finally, an experiment was conducted to evaluate the performance of LO-LSTM. The results demonstrated that the proposed LO-LSTM can not only reduce migration times, but also make the energy consumption increment within an acceptable range.

• 한국컴퓨터산업학회논문지
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• 제3권2호
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• pp.199-208
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• 2002

컴퓨팅 환경의 변화 때문에 최근 에이젼트 기술이 주목을 받고 있다. 네트워크에 에이젼트를 분산 배치시킴으로서 서비스의 실현이 용이한 위치에서 필요한 서비스를 신속하게 제공하게 함으로서 네트워크의 효율성을 증대시킬 필요성이 점점 커지고 있다. 본 논문에서는 자바로 프로그래밍한 에이젼트를 실제 서비스의 실현이 용이한 위치에 있는 네트워크에 배치하고, 매니져에서는 에이젼트에 접속하여 서비스코드의 URL을 에이젼트에 알려주었다. 에이젼트는 해당 URL에서 서비스코드를 다운로드받아서 실행시켜 그 결과를 매니져에게 돌려주는 분산컴퓨팅 환경을 자바로 구현해본다.

• 한국인터넷방송통신학회논문지
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• 제22권3호
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• pp.151-161
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• 2022

글로벌 CP들로 인해 인터넷의 트래픽이 급증하면서 망 투자비용을 분담하여야 한다는 주장이 업계에서 대두하였다. 이로 인해 망 중립성의 원칙이 접근성에서 비용 부담으로 논점이 크게 바뀌었다. 유료화된 트래픽의 우선처리가 각국에서 인정을 받았음에도 불구하고, 학계의 일부에서는 인터넷 공간에서 망 사용료 지불에 대한 부정적인 시각이 있었다. 그러나 업계에서는 사업자들 사이에 분쟁이 다수 발생하였고, 일부는 법정 다툼으로 비화되면서 법원의 판결에 관심이 쏠렸다. 법원이 망 중립성 하에서 유상성을 인정하기 시작하였고, 정부도 이에 대응하여 규제를 정비하는 등 우리나라는 빠르게 대처해 왔다. 그러나 여전히 서비스 안정에 초점을 맞추고 있으며, 직접적으로 망 이용대가의 지불을 규정한 규제는 아직 없다. 본 연구에서는 망 중립성에 대한 사업자간 분쟁 및 법원의 판결, 규제의 개선 사례를 분석하여 망 중립성의 변화를 고찰하였으며, 공유지의 비극 사례를 참고하여 수익자 부담의 원칙에 입각한 올바른 가격신호의 복원이 가장 중요한 해결책임을 제시하였다. CP의 망 사용료 지급도 그 방안의 하나이다.

• 산업공학
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• 제20권3호
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• pp.395-406
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• 2007

In the telecommunication industry, estimation of the cost of network facilities is very important since depreciation cost of the facilities accounts for a large portion of the product cost. Moreover, cost estimation in the industry becomes more difficult because of increasing indirect cost upon digital convergence, expanding multi-purpose facilities, complexity of service product, etc. Nevertheless, not much seem to have been done in improving estimation methodology of the cost of network facilities. As a result, the quality of cost information on network facilities has deteriorated, and now even decision-makers in the industry dismiss the information. Recently, two major telecommunication companies adopted a new network cost estimation method to deal with the issue. In this paper, we study the concept of new cost estimation method and the procedure to develop and apply it. We also suggest the method to carry out the cost allocation using Matlab which is more efficient and time-saving than other commercial cost calculation packages.

• 아태비즈니스연구
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• 제14권3호
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• pp.241-250
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• 2023

Purpose - The purpose of this study was to investigate the perception of 'unmanned cafes' on the network through big data analysis, and to identify the latest trends in rapidly changing consumer perception. Based on this, I would like to suggest that it can be used as basic data for the revitalization of unmanned cafes and differentiated marketing strategies. Design/methodology/approach - This study collected documents containing unmanned cafe keywords for about three years, and the data collected using text mining techniques were analyzed using methods such as keyword frequency analysis, centrality analysis, and keyword network analysis. Findings - First, the top 10 words with a high frequency of appearance were identified in the order of unmanned cafes, unmanned cafes, start-up, operation, coffee, time, coffee machine, franchise, and robot cafes. Second, visualization of the semantic network confirmed that the key keyword "unmanned cafe" was at the center of the keyword cluster. Research implications or Originality - Using big data to collect and analyze keywords with high web visibility, we tried to identify new issues or trends in unmanned cafe recognition, which consists of keywords related to start-ups, mainly deals with topics related to start-ups when unmanned cafes are mentioned on the network.