• Journal of Communications and Networks
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• v.18 no.3
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• pp.513-522
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• 2016

We propose a mechanism for monitoring load in quality of service (QoS)-enabled wireless networks and show how it can be used for network management as well as for dynamic pricing. Mobile network traffic, especially video, has grown exponentially over the last few years and it is anticipated that this trend will continue into the future. Driving factors include the availability of new affordable, smart devices, such as smart-phones and tablets, together with the expectation of high quality user experience for video as one would obtain at home. Although new technologies such as long term evolution (LTE) are expected to help satisfy this demand, the fact is that several other mechanisms will be needed to manage overload and congestion in the network. Therefore, the efficient management of the expected huge data traffic demands is critical if operators are to maintain acceptable service quality while making a profit. In the current work, we address this issue by first investigating how the network load can be accurately monitored and then we show how this load metric can then be used to provide creative pricing plans. In addition, we describe its applications to features like traffic offloading and user satisfaction tracking.

• The Journal of Industrial Distribution & Business
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• v.14 no.3
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• pp.9-17
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• 2023

Purpose: Intrinsic motivation can be affected by external factors and may not always be present in an employee. This study aims to shed light on the role of intrinsic and extrinsic motivation in driving employee performance and to determine which type of motivation has a greater impact on performance. Additionally, the research seeks to understand the impact of motivation on different employee characteristics, such as age, gender, and job tenure. Research design, data and methodology: The present author has obtained textual data from the current literature dataset, However, focusing on mostly journal articles and published books because it could provide the justification of reliability and validity and help to collect solid previous studies which is logically categorized themes. Results: The findings of the present research are divided into four differences (Difference in Job Satisfaction, Difference in Job Involvement, Difference in Organizational Commitment, and Difference in Turnover Intention), each focusing on one aspect of employee performance: job satisfaction, job involvement, organizational commitment, and turnover intention. Conclusions: Organizations can use the differences in employee performance based on intrinsic and extrinsic motivation to improve employee performance by recognizing the importance of intrinsic motivation, providing opportunities for employees to experience intrinsic motivation, and balancing extrinsic and intrinsic motivation.

• Korean Journal of Artificial Intelligence
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• v.12 no.1
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• pp.7-16
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• 2024

This study aims to explore driving factors of Artificial Intelligence application for city marketing strategy with perspectives of millennials and generation Z. This study proposed the following research questions: i) how perceived place branding factor, public service factor, affective factor, immersive experience factor, cognitive factor, cost benefit factor, social networking factor, and promotional value factor affect attitude toward AI application for city marketing; and ii) how attitude affect satisfaction and prospect toward AI application for city marketing? This study conducted an online survey with the assistance of a well-known research agency and applied factor and regression analysis to test hypotheses. The results found that effects of place branding, cognitive, social networking, and promotional value affect attitude significantly in the case of millennials, while effects of public service, affective, cost benefit, social networking, and promotional value affect attitude significantly in the case of generation Z. The results found that effects of attitude on satisfaction and prospect of AI showed significance. The results provide implications and different aspects for AI application of city marketing strategy with perspectives by generations, while millennials and generation Z perceived effects of promotional value as the most significant factor for AI application of city marketing strategy.

• Journal of Information Technology Applications and Management
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• v.26 no.3
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• pp.61-80
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• 2019

The cooperation between universities and industries is already one of the most important factors driving the national economy in the knowledge-based society of the 21st century represented by the Fourth Industrial Revolution. The Korean government has also been carrying out legal and institutional re-adjustments to promote industrial-university cooperation in line with demands for such changes in the times. However, despite this industry-academic cooperation system, there is still a significant mismatch between industrial demand and the university's workforce development system. By the way, there is a Cooperative Education(CO-OP) in Canada and the United States. It's an innovative link between the university and the industry. The reason is that the CO-OP program not only allows students to gain experience with their majors in the industrial field, but also plays a positive role in improving their specialty expertise. In particular, field information, ideas, and job insights that students acquire through CO-OP also serve as motivation for starting a business beyond employment after graduation. Furthermore, CO-OP experience is an important opportunity for future researchers to come up with commercialized research results that are not separated from the field sites The purpose of this study is to overcome the gap between industrial demand and the college manpower training system, and develop a Korean-style coaching program model as a growth engine for creative talent-building policies, represented by 'creation of start-ups and new industry.' In addition, this study suggested measures that can be applied in real universities. In addition, the study also highlighted that the introduction of CO-OP programs with field practices in Korea could also boost start-ups. Based on the Korean CO-OP program model, the curricula applicable to domestic universities consisted of two types : general and research-oriented university types.

• Journal of Korean Society of Transportation
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• v.36 no.1
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• pp.13-22
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• 2018

Buses, one of the representative public transportation modes, are divided into a vareity of service types according to the purpose of operation, operating distance, and management agencies. Although bus-involved crashes may cause large amount of damage due to the higher number of passengers boarded on a bus, prior research has little focused on crash severity according to bus service types. This study aims to investigate factors influencing crash severity in bus-involved crashes and to present policy implications to reduce crash severity by bus service type. To do this, bus-involved crash data from the Traffic Accident Analysis System (TAAS) during five-year period are used. Ordered probit models for three types of bus service, i.e., city bus, suburban and express buses, and charter buses, are estimated to analyze the factors of accident severity. The results show that there are significant differences of factors affecting crash severity among the types of bus services while speed and road surface influence all the types of buses. In case of local buses, time of day, roadway alignment, and installation of a traffic signal are found to be statistically significant factors. Seat belt and road class have significant effects on injury severity of the intercity and express buses. Chartered buses have time of day, driving experience, seatbelt, traffic signal, and day of week as the significant factors. The results of this study are expected to contribute to the reduction of the crash severity by each bus service type.

• The Journal of Korean Physical Therapy
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• v.17 no.2
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• pp.22-37
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• 2005

This study was performed to investigate LBP(low-back pain) prevalence rate and its related factors inphysical therapists. A self-administered questionnaire survey was conducted to 522 physical therapists in Daegu and Gyeongsangbuk. The LBP prevalence rate for recent 6 months was $61.7\%$. According to age, the prevalence rate was highest in the group aged 24 or less for both male and female physical therapistis. For male physical therapists , it was higher in smokers and drivers, but for female ones, it was not in a significant relationship with smoking and driving. According to work experience, the prevalence rates of those who had been working for less than one year were the highest, and those who had been working at hospitals and clinics were $69.1\%$, significantly high. According to therapy techinque, the prevalence rate related ti PNF was $71.6\%$, the highest and to occupational therapy was $34.3\%$, the lowest. According to working environment for six months, in both male and female physical therapists. LBP prevalence rate was in a statistically significant relationship with work hours during the day, night and weekend duties, repetitive works, motions that bend or twist the waist, the number of patients per day, the number of time to help patients per day, the number of time to carry medical equipment per day and the length of time to work standing. The rate was also higher when physical therapists fekt nire stress from their work. According to the result of multiple logistic regression analysis, male was in a significant relationship with work experience and motions that bend or twist the waist and female was in a significant relationship with work hours during the night and weekend duties, the number of time to help patients per day, motions that bena or twist the waist, actions taken to protect the waist. As for the developmental pattem of LBP in the group of physical therapists with LBP for six moths, $15.7\%$ of them had LBP for first time, $42.3\%$ had recurred LBP, and $42.0\%$ had chronic LBP. As for the causes of LBP, $51.7\%$ said that it was because they worked in the same posture for a long time, and as for how to treat LBP, 48.8% said that they treated themselvs or got help from their co-wokers. The results presented above suggest that physical therapists are exposed to high risk of LBP caused form occupational activities. Therefire, it is necessary to improve working environment to reduce the occurrence of LBP and to develop education programs for preventing the occurrence and recurrence of LBP.

• The Journal of Industrial Distribution & Business
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• v.10 no.9
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• pp.25-36
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• 2019

Purpose - Consumers have memories of their past time that they have not experienced. So consumers want to experience the past time and get pleasure through historical contents such as movies or dramas. This is because the re-created the past time sets the identity of the consumers who live today, and in the process, it give consumers emotional comfort. Consumers do not remember and sympathize with all of their historical time. In general, consumers remember the time that their communities are proud of. As s result, historical content is seen as a hero, and through that, consumers can check their identity. Also consumers experience positive emotions such as self-esteem, gratitude and pride through identification with heroes. That is, through historical contents, consumers can identify themselves and replace the current negative emotions with positive ones. Therefore, this study presents narrative identity and historical nostalgia that can affect positive evaluation of historical contents and suggest the factors the can induce such effects. This study was conducted to explain what the consumption effect of historical content is from a marketing perspective and what constitutes a component of historical content as a factor driving this effect. Research design, data, and methodology - This study has developed a questionnaire with 8 Hypotheses. The Films ('Masquerade(2012)', 'Roaring Current(2014)', 'Assassination(2015)', 'The Age of Shadow(2016)') and dramas('Six Flying Dragon(2015-2016)', 'Mr. Sunshine(2018-2019)') were used as experimental contents. 268 college students participated in this empirical study, and structural equation model was used to verify hypotheses. Results - Frist, narrative identity affects positive evaluation of historical contents. Nostalgia affect positive evaluation of historical contents. and narrative identity affects positive response of historical nostalgia. Second, character act relevance, circumstance similarity, and character attractiveness have positive influence upon response of narrative identity. Lastly, empathy for story and vividness of representation have also positive influence upon response of historical nostalgia. Conclusion - This study contributes to the theoretical and managemental development of historical contents. This study shows that narrative identity and historical nostalgia are important for success of historical contents. In order for historical content to be successful, it must manage elements of character act relevance, circumstance similarity, and character attractiveness, empathy for story and vividness of representation.

• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.222-235
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• 2008

This study looks at motivations of video UCC users as a member of creative class. A qualitative research method was used for analyzing data collected by interviews. Killing time users, active clickers and creators are distinguished as different types of UCC users and their differing motivations are explored. The findings of the study are as follows: First, information sharing, self presentation, communication needs, ease of use for self presentation, usefulness are expressed as motivating factors for both active clickers and creators, Pleasure motivates every type of users. However, content creators experience a specific type of pleasure which is the pleasure of creativity or flow, which this study highlights as a key driving factor for content creators. The study adds to the findings of UCC user research which applies the TAM and the PAD model by revealing what pleasure and flow specifically mean for different types of UCC users.

• The Research Journal of the Costume Culture
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• v.25 no.1
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• pp.1-15
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• 2017

Social commerce is a kind of internet shopping mall in which consumers purchase the products with other consumers through mutual interactions including the development of SNS(social network service). Social commerce has expanded rapidly as a mainstream online shopping mall over the past five years driving consumers to purchase more fashion products providing the cheaper prices than open market internet shopping mall. The purpose of this study is to identify the important parameters of social commerce characteristics and consumer characteristics that affect repurchase intention and word-of-mouth intention. A 221 survey questionnaire was distributed to men in their 20's and 30's who live in Seoul metropolitan area. The data were analyzed utilizing Cronbach's ${\alpha}$, factor analysis, and regression analysis using the SPSS 18.0 program. The results revealed, first, that in terms of social commerce characteristics, three variables(website reputation, interactivity, and product scarcity) influenced repurchase intention. Among them, website reputation identified as the most important factor influencing repurchase intention and word-of-mouth intention. Second, with regard to consumer characteristics, interest and a tendency toward impulse buying affected the repurchase intention, and interest and internet shopping experience have influenced the word-of-mouth intention. Among three variables interest in social commerce identified as the key factor affecting both repurchase intention and word-of-mouth intention. The results of the study provide the practical implications and suggest the business strategies to enhance social commerce in the future by identifying the key social commerce characteristics and consumer characteristics that influence male consumers' buying behaviors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.274-280
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• 2017

The smart-car industry has emerged as the important variable that will decide the future industrial contour of the automotive industry, together with commercialization of electronic vehicles, connected cars, infotainment, telematics, and the autonomous/self-driving car. This study analyzes the strategic position of platform companies and car manufacturers that would determine the future of the smart-car market. The findings of this study show that despite the entry barriers in industrial factors, such as economies of scale, the industrial infrastructure, and global production networks, and technical factors like exclusive head-sector information, car manufacturers may be deprived of their industrial leadership by platform companies with map and user data, big data capabilities, and user interface experience if they lag behind ICT innovation. This insight is based on the emerging importance of software and platforms, and the simplification of car structures, proven by the successful commercialization of electronic vehicles. This study complements existing studies mainly focused on technical aspects of the smart-car industry by examining the strategic dimensions of platform companies and their approach to the future smart-car market by comparing them with existing car manufacturing multinationals.