• Journal of Information Processing Systems
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• 제16권2호
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• pp.377-393
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• 2020

Freight management systems require a new business model for rapid decision making to improve their business processes by dynamically analyzing the previous experience data. Moreover, the amount of data generated by daily business activities to be analyzed for making better decisions is enormous. Online-to-offline or offline-to-online (O2O) is an electronic commerce (e-commerce) model used to combine the online and physical services. Data analysis is usually performed offline. In the present paper, to extend its benefits to online and to efficiently apply the big data analysis to the freight management system, we suggested a system architecture based on O2O services. We analyzed and extracted the useful knowledge from the real-time freight data for the period 2014-2017 aiming at further business development. The proposed system was deemed useful for truck management companies as it allowed dynamically obtaining the big data analysis results based on O2O services, which were used to optimize logistic freight, improve customer services, predict customer expectation, reduce costs and overhead by improving profit margins, and perform load balancing.

• Journal of Information Processing Systems
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• 제7권4호
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• pp.707-716
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• 2011

It is important that desktop grids should be able to aggressively deal with the dynamic properties that arise from the volatility and heterogeneity of resources. Therefore, it is required that task scheduling be able to positively consider the execution behavior that is characterized by an individual resource. In this paper, we implement a log analysis system with REST web services, which can analyze the execution behavior by utilizing the actual log data of desktop grid systems. To verify the log analysis system, we conducted simulations and showed that the resource group-based task scheduling, based on the analysis of the execution behavior, offers a faster turnaround time than the existing one even if few resources are used.

• 한국IT서비스학회지
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• 제14권2호
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• pp.355-373
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• 2015

Social networking services (SNSs) serve to strengthen people's social relationships by providing ways for people to utilize such relationships especially like workplace. With the development of the internet worldwide, the number of SNS users is rapidly growing and a wider range of service types have become available. In this study, we designed a research model with a focus on what makes people use SNSs at workplace and how it is associated with changes in relationship quality and their intention to continue using the services and analyzed data collected for the research model. Theoretically, intrinsic and extrinsic motivation was invoked and measured, in terms of hedonic and utilitarian values, and satisfaction and trust were adopted as variables of relationship quality. Data were collected from Facebook users using workplace, and a partial least squares (PLS) analysis was made on 188 data points. The analysis results showed that two forms of motivation-hedonic and utilitarian-are separated from each other in their influence and that utilitarian value is more important than hedonic value, especially when it comes to users' satisfaction. In addition, the analysis found a weak relationship between satisfaction and trust in SNS environments; this was a little different from the results of previous studies.

• 한국IT서비스학회지
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• 제18권5호
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• pp.119-132
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• 2019

This study aims to analyze how specific features of a mobile platform such as economic feasibility, interactivity, safety, and design are correlated with perceived ease of use and customer satisfaction, targeting those who purchase delivery food on a mobile platform dedicated to delivery services. A survey was conducted on customers who had bought delivery food on a mobile platform and the data collection was conducted from August 19, 2019 to September 18, 2019, using 300 mobile platform service users. A total of 300 copies were retrieved. 249 valid samples of 300 copies were analyzed with SPSS 23.0 and AMOS 23, and In addition, programs including SPSS and AMOS were used for the analysis of frequency, confirmatory factor, reliability and validity, correlation and structural equation model. Major findings of such analysis are as follows. First, design characteristic of a mobil platform had relevant impacts on perceived ease of use. However, economic feasibility, interactivity, and safety did not significantly affect perceived ease of use. Second, perceived ease of use had a significantly influenced on the extent of customer satisfaction. Hence, from practical and academical point of views based on the results of this analysis, this study is expected to provide directions and some practical and useful implications for a mobile platform for food delivery services.

• 경영과학
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• 제33권2호
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• pp.65-74
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• 2016

The present study applies the TAM (Technology Acceptance Model) to investigate the factors that affect the intention to use the mobile payment services. For this purpose five potential variables (perceived usefulness, perceived convenience, ubiquity, innovativeness, and safety risk) that are expected to affect the intention to use the mobile payment services were selected. An online survey was administered, and 339 questionnaires were analyzed. Structure Equation Model (SEM) Analysis revealed that TAM variables (perceived usefulness and perceived convenience) partially influenced the attitude. The perceived usefulness predicted the attitude while perceived convenience did not predict the attitude toward the mobile payment service. Personal characteristics variable (innovativeness) and mobile nature variables (ubiquity, and security risk) were identified as the predictors of the attitude toward the mobile payment service. While innovativeness and ubiquity affected the attitude positively, security risk affected the attitude negatively. Finally, the analysis substantiated the influence of attitude toward the mobile payment services on the intention to use the services. On the basis of findings, managerial implications and suggestions for further studies were discussed.

• 한국정보시스템학회지:정보시스템연구
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• 제29권2호
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• pp.243-263
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• 2020

Purpose The purpose of this study is to analyze the causal relationship between user satisfaction, expected satisfaction, quality of service, perceived value, and expertise that should be emphasized in personalized medical information services for the development of personalized medical information services based on big data analysis and the spread of their demand. Design/methodology/approach This study established research models and hypotheses on the basis of the theory of reuse intent, and applied the PLS methodology for analysis, the factors that make it applicable to personalized medical services in the theory of service quality and satisfaction. Findings According to the empirical analysis result, this study confirmed that it can be seen that the expertise, perceived value, and quality of medical services did not directly affect the user's intention to reuse, but formed a direct causal relationship through variables such as whether they met expectations.

• 한국철도학회논문집
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• 제11권4호
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• pp.410-416
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• 2008

본 연구에서는 '2003년 산업연관표'를 사용하여 우리나라의 철도운송산업이 국내 운송산업 전체에서 차지하는 위상 및 철도운송산업과 여타산업의 관계적 특징에 대하여 살펴보았다. 그리고 산업연관분석 연구방법을 사용하여 국내 철도운송산업의 생산활동이 403개 여타 기본산업에 미치는 경제적 파급효과에 대해서 분석하였다.

• 인터넷정보학회논문지
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• 제11권1호
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• pp.59-69
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• 2010

웹 서비스들의 수가 급격하게 증가함에 따라 사용자가 적합한 웹 서비스를 찾는 것은 매우 중요한 문제로 대두되고 있다. 그러나 전통적인 키워드 탐색 방법은 다음의 두 가지 이유 때문에 문제가 있다: (1) 웹 서비스에 대한 의미적인 정보들을 활용하지 못한다. (2) 사용자의 요구사항을 정확하게 표현하지 못한다. 이러한 키워드 기반 탐색 방법의 한계를 극복하기 위해 본 논문에서는 하나의 새로운 구문 분석 및 온톨로지 학습 방법을 제안한다. 구문 분석 방법은 키워드를 일반화하여 검색 범위를 넓혀주고, 온톨로지 학습 방법은 상관관계를 표현하여 깊이 있는 탐색을 유도한다. 이러한 두 방법을 결합함으로써 재현율과 정확률 둘 다 향상 시킬 수 있는 기법이 될 수 있다. 제안된 방법은 508개의 웹 서비스 집합에 대한 실험을 수행하여 그 성능의 우수함을 보인다.

• 농촌계획
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• 제29권4호
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• pp.183-189
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• 2023

As South Korea faces a general decline in population, similar to other regions, its rural areas are also experiencing a downward trend. This study examines how the scale and shifts in population within rural towns(eup·myeon) are affecting the number of essential services such as hospitals, laundry shops, and beauty salons. Our analysis encompassed the populations of 1,403 towns, excluding nine areas due to lack of data as of 2020. Since the availability of basic services can vary with population size, we normalized the figures to reflect the number of services per 10,000 people, allowing for a comparative analysis across different population sizes. Generally, areas with more people showed an increase in the number of services per capita. Our review of changes from 2000 to 2020 revealed patterns in how service numbers adjust with population variations. Future research should delve into more detailed trends of these facilities and forecast the rural population's future to ensure that residents in areas where service sustainability may be challenging will have full access to necessary services.

• 한국의류학회지
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• 제48권1호
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• pp.37-49
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• 2024

This study confirmed the relationship between variables developed by qualitative ground theory through quantitative research. The purpose of the study is to explain the effect of core sales tasks on sales services and the mediating effect of organizational member relationships on sales services. The data were collected through a survey of fashion brand salespeople in Gwangju from September to October 2020 with data from 235 responses analyzed using SPSS 27.0 and AMOS 26.0. The validity of the research model verified the confirmatory factor analysis and the research hypothesis was verified through path analysis and multi-mediated analysis of the structural model. The research results were as follows. First, sales management did not directly affect sales services, and customer management affected sales services. Second, a meaningful causal relationship was shown to exist between organizational member relationships and sales management, but organizational member relationships and customer management did not have a significant relationship. Third, the total and individual indirect effects of headquarters relations, colleague relations, and customer management were all statistically significant.