This study suggested implications by dividing the concept of brand origin into national image and manufacturing capacity image, verifying the direct impact of these variables on brand trust and brand loyalty, and verifying the difference between products with the effect on brand trust of brand origin, which is the result of verification. The specific implications of this paper are as follows. First, brand origin does not directly affect brand loyalty, but it can have a direct impact on the preceding variable, brand loyalty. This study may conclude that it is desirable to define the factors that affect the purchase selection indirectly through the assessment of product properties or positive effects on brand image rather than having a direct impact on product purchase or selection. Second, the difference in brand origin influence by product characteristics was very evident. Past studies were limited to a few products, so pan-product testing was not conducted, and the empirical power was judged to be limited, so this study included a variety of products and tried to detect differences between products through actual empirical research. Involvement and self-congruity have been presented with results that can be judged as important variables for brand origin to affect brand performance and variables. Looking at the role of the brand origin for each product characteristic by distinguishing between product characteristics and whether or not products related to quality, history, authenticity, etc., the product recognized as high quality and the product recognized as having high integrity showed higher effect of the brand origin, but history was a product characteristic that did not show the effect of the brand origin.
Journal of Korea Society of Industrial Information Systems
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v.22
no.5
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pp.85-100
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2017
The Delivery Companies are Facing the Difficulty in their Delivery Services due to the Continuously Increasing Delivery Demand and Insufficient Supply of Delivery Persons to Satisfy the Demand. In Such Circumstances, the Delivery Companies have been Implementing the CSV Service by Introducing the Senior Parcel Delivery Service Creating Jobs for Senior Citizens. This Paper Investigated the Impact of the Quality of Senior Parcel Delivery Service, CSV Activities, and Individual Characteristic Factors of Consumers on the Customers' Confidence and Intention to Use the Delivery Service of Delivery Companies. For the Empirical Analysis, the Online/Offline Questionnaire Survey was Executed with the Individuals who used the Delivery Service and 216 Samples were Finally Selected for Empirical Analysis. In Accordance with the Analysis Results, the Speed, the Quality of Senior Parcel Delivery Service, had Significant Impact on the Customers' Confidence, but Safety had no Significant Impact on it. Next, the Sincerity of CSV Activity by Senior Parcel Delivery Service Companies Showed the Significant Impact on the Customers' Confidence. However, the Adequacy of CSV Activity had No Significant Impact on the Customers' Confidence. Furthermore, the Consumption Value and Ethical Consumption Propensity, the Individual Features of Consumers, Demonstrated the Significant Impact on the Customers' Confidence and also on the Customers' Confidence on and their Intention to use Senior Parcel Delivery Service Companies.
This research examined a study on the effect of the self-determination and motivation in the crowdsourcing on the continuous participation intention. This study has classified the three elements of the self-determination which is not forced by outer pressure has intended to analyze practically the effect on the motivation of the customers participating in the crowdsourcing into the intrinsic motivation phase and extrinsic motivation phase. The autonomy, competence and relatedness could be verified with the intrinsic motivation phase of the participants who affect positively the enjoyment and accomplishment. In the effect autonomy, competence and relatedness on the monetary compensation and recognition by others of the extrinsic motivation phase, the hypothesis that the effect autonomy, competence and relatedness of the on the monetary compensation would be negative was overruled, which must have been because while the participation in the crowdsourcing is proposing voluntarily one's own ideas, the concept that the monetary compensation makes the participants participate in order to perceive others not in the voluntary proposals but in the competitive relationships and win them worked and thus the autonomy was perceived negatively. Also, the reason why the relationship between the monetary compensation and the autonomy, competence and relatedness was not supported can be said to be because the crowding-out effect which decreases the intrinsic motivation affected the external compensation and the motivation.
Recently the importance of emotional labor has increased so this study aims to prove the effects of emotional labor(surface acting and deep acting) on counterproductive work behaviors(deviate from organization and individual deviation) using burnout(emotional exhaustion, personality disorder, decrease in sense of accomplishment) as a medium. 350 surveys were sent to employees such as workers from call centers, salesperson from department store, financial worker, hospital staff, flight attendant and workers from customer center who and worked with emotional labor and 300 surveys excluding insincere ones were used for analysis. The result is as follows. First, surface acting which is a type of emotional labor chosen by customer workers had a positive effect on burnout such as personality disorder and decrease in sense of accomplishment. Second, deep acting had a negative effect on personality disorder and decrease in sense of accomplishment but did not show any effect on emotional exhaustion. Third, personality disorder and decrease in sense of accomplishment among burnout had effect on counterproductive work behaviors(deviate from organization, individual deviation) but emotional exhaustion did not show any effect on work behaviors(deviate from organization, individual deviation). Based on the result of analysis, implication of this study and direction of future research were suggested.
KSII Transactions on Internet and Information Systems (TIIS)
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v.11
no.10
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pp.4717-4737
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2017
Today, smart grids, smart homes, smart water networks, and intelligent transportation, are infrastructure systems that connect our world more than we ever thought possible and are associated with a single concept, the Internet of Things (IoT). The number of devices connected to the IoT and hence the number of traffic flow increases continuously, as well as the emergence of new applications. Although cutting-edge hardware technology can be employed to achieve a fast implementation to handle this huge data streams, there will always be a limit on size of traffic supported by a given architecture. However, recent cloud-based big data technologies fortunately offer an ideal environment to handle this issue. Moreover, the ever-increasing high volume of traffic created on demand presents great challenges for flow management. As a solution, flow aggregation decreases the number of flows needed to be processed by the network. The previous works in the literature prove that most of aggregation strategies designed for smart grids aim at optimizing system operation performance. They consider a common identifier to aggregate traffic on each device, having its independent static aggregation policy. In this paper, we propose a dynamic approach to aggregate flows based on traffic characteristics and device preferences. Our algorithm runs on a big data platform to provide an end-to-end network visibility of flows, which performs high-speed and high-volume computations to identify the clusters of similar flows and aggregate massive number of mice flows into a few meta-flows. Compared with existing solutions, our approach dynamically aggregates large number of such small flows into fewer flows, based on traffic characteristics and access node preferences. Using this approach, we alleviate the problem of processing a large amount of micro flows, and also significantly improve the accuracy of meeting the access node QoS demands. We conducted experiments, using a dataset of up to 100,000 flows, and studied the performance of our algorithm analytically. The experimental results are presented to show the promising effectiveness and scalability of our proposed approach.
Kim, Insoo;Kim, Kyungsu;Chae, Hye-Seon;Kim, Hyo-Cher;Kim, Kyung-Ran
The Korean Journal of Community Living Science
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v.28
no.3
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pp.377-390
/
2017
This study identified technological trends through an analysis of patents for the industrialization of personal protection and convenience equipment using information and communication technology (ICT) as a part of efforts to prevent farm work-related disasters. The analysis was conducted on patents registered and published between January 1974 and May 2016 by the world's five largest intellectual property offices, including the KIPO, USPTO, JPO, EPO, and SIPO. The results of the analysis indicate that the US (36.8%) and South Korea (30.9%) led technological research and development (R&D) with frequent patent applications. An analysis of the technological market revealed that these countries are in the growth and maturity stages, in which the number of patents and number of patent applicants grow rapidly. In terms of the technological market shares of major countries, the US recorded the highest market shares in the field of sensing systems for workers' dangerous conditions and convenience protection equipment based on the internet of things (IoT) convergence. South Korea marked the highest share of 41.8% in the field of sensing devices for dangerous conditions in the working environment. An analysis of the trend of patent applications by specific technologies disclosed the following results: sensing systems for workers' dangerous conditions accounted for the highest share (49.2%), followed by IoT convergence-based convenience protection equipment (26.3%) and sensing devices for dangerous conditions in the working environment (24.6%). Based on this study, ICT-based personal protection and convenience equipment technologies are expected to be actively developed in the future. It will be necessary to secure national competitiveness through R&D investments and commercialization in personal protection and convenience equipment appropriate for farm work as well as through the acquisition of patent technologies and intellectual property rights.
The Journal of The Korea Institute of Intelligent Transport Systems
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v.6
no.2
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pp.15-25
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2007
This paper aims at testing the applicability of RFID (radio frequency identification) based link travel time estimation algorithm in urban street settings in Jeju island Korea. For this, we developed algorithm and compared link travel times derived from the RFID probe based algorithm with those from (already available) GPS based link travel time estimation algorithm and with the actual link travel times from survey. RFID readers are composed of master reader and slave reader and the participating passenger cars were supposed to be equipped with RFID tag inside the vehicle. The data were sent to traffic information center and we used those data in comparison. The algorithm produced link travel times in a successful manner and the accuracy of those link travel times was about 88%. For the same link segments, the accuracy of GPS based link travel times was 93%. The t-test showed that both RFID and GPS based link travel times were not different in accuracy from statistical point of view. The applicability of RFID was tested successfully and the algorithm proposed seemed to be used in similar urban settings. Some limits and future research agenda have also been presented.
The absence of the commensurable general mass media system theory has been problematic in empirical communication studies. This study first suggests the static mass media system theory based on modified Habermas's two level society, and then develops the dynamic mass media system theory based on the boundary-agencement theory that synthesizes Luhmann's boundary theory and Delueze & Guattari's agencement theory. In the static mass media system theory, the mass media system interpenetrates other social subsystems and the life world as a part of the cultural system coordinated by generalized language media. In the dynamic mass media system theory, the mass media system is a boundary of all social subsystems. The mass media system also articulates its self-referential observations to other-referential observations from other subsystems, mediated interpenetrations between the social subsystems and the life world. Especially, performances in the mass media system deterritorizes social systems to the life world, and reterritorizes the life world to social systems. The general mass media system theory can provide commensurability for various empirical mass media system studies, and prevent biases when researchers choose research topics.
Purpose This study examines the roles of individual- and country-level social capital in entrepreneurial activities from the context of crowdfunding. Design/methodology/approach Two primary sources were used for data collection. From Kickstarter, the largest U.S.-based crowdfunding platform, this study obtained 15,716 crowdfunding projects and individual-level social capital. For country-level social capital, the social capital index from the 2016 Legatum Prosperity Index was utilized. By matching individual- and country-level social capital for each crowdfunding project, this research estimates the role of social capital in entrepreneurial activities at the individual and country level using the Poisson regression and the negative binomial regression. Findings Individual-level social capital measured by the number of Facebook friends, the number of other crowdfunding projects that a crowdfunding project founder invested in, and the word count of the description of a crowdfunding project are positively associated with the number of crowdfunding projects created by founders. The country-level social capital measured by aggregated social capital index is also positively associated with the number of crowdfunding projects created by founders. Both individual- and country-level social capital have a positive impact on entrepreneurial activities in terms of the creation of new crowdfunding projects.
This research is to offer a structured yet practical ex-ante evaluation methodology for IT investment. Benchmarking the best practices of four Korean organizations, we try to integrate core processes, relevant measures, and evaluation dimensions into a consistent and wholesome body of evaluating methodology. The best practices we considered encompass a wide range of business enterprises, including for-profit, non-profit, service-oriented, and manufacturing entities. The proposed methodology consists of three stages; the first stage checks the validity of investments by looking into comprehensiveness of planning, willingness to accomplish, justifiable grounds for the investments, overlapping investments, and obstructing risks; the second do so by putting an IT investment into economic, strategic, and technological perspectives; and the last third would produce a unified quantity that summarizes outcome of the previous stages. Incorporating the proven knowledge, guidelines, and quantifying tools, the methodology could make a valuable reference model for IT evaluation practitioners who have been bedeviled by having to going through such ex-ante evaluations.
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