• Management & Information Systems Review
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• v.33 no.3
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• pp.1-19
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• 2014

Main research question of this study is based on situational gap between donation motivation and behaviour in non-profit organization. However, researches investigating the gap were limited. Therefore, this study examined components of psychological variables. Specially, we proposed the variables about consumer's impulsive motivation or behavior on impulse literature in donation toward non-profit organization. This study conducted a scale development to measure consumer's charity donation impulse based on non-conscious viewpoint. For the development of measurement tool for charity donation impulse, we conducted two stages of research process. First, the measurement items of charity donation impulse were developed through FGI and in-depth interview on experts. Secondly, the factor analysis was performed, and then some items were eliminated through this analysis. As a result, we found the final scale with 26 items, which were named as evaluation sensitivity charity impulse, reward sensitivity charity impulse, functional impulse, non-planning charity impulse. These results showed that the measurement items developed in this study were confirmed to be useful tools for measuring charity donation impulse.

• Management & Information Systems Review
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• v.37 no.2
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• pp.23-42
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• 2018

As the development of the Internet in China has led to the active shopping of the internet, the number of Chinese internet users and online shopping malls is increasing rapidly. Chinese internet shopping malls are experiencing satisfaction and discontent with their websites. Research has focused on the satisfaction of customers using internet shopping malls and internet shopping malls reported complaints to users as complaints about products and websites. The study looked at seven area Chinese internet users (Beijing, Harbin, Shenyang, Ganssu, Xian, Shanghai and Henan). The effect of product complaints and site complaints on shopping attitudes and behaviors of internet shopping users was studied, and economic benefits were studied as a control variable. As a result, There was no effect on controlling the economic benefits of the complaint against the product, but the controlling the economic benefits of the complaint on the site was effect. About 83 percent of those surveyed were in their 20s and 30s who had experience shopping online and in internet. And It is intended to present theoretical reviews and guidelines for Korean internet shopping malls operating here, as they plan to expand to China by analyzing their internet shopping mall users.

• Management & Information Systems Review
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• v.37 no.2
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• pp.109-123
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• 2018

This research presented the privatization of pubic corporations in terms of communication dimension rather than political and ideological dimension. Concretely, we examined how the message framing of privatization affects consumer's advertising attitude. At the same time, this study also examined the moderating factors which make a difference of the message framing, such as personal relevance(high/low) and social value orientation(proself/prosocial). The results showed that the interaction effect between type of message framing and personal relevance. Positive message framing showed a higher effect than negative message in the case of low personal relevance. Also, There was the interaction effect between type of message framing and social value orientation. Positive message framing showed a higher effect than negative message in the case of proself. However, there was no difference in message framing effect when there was high personal relevance and prosocial. Lastly, the implications of this study was presented. First, this study expanded the scope of research related to message framing. Second, the use of moderating variables such as personal relevance and social value orientation increased the possibility of practical application. In addition, limitation and further study directions was discussed.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.83-91
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• 2011

Much research has been conducted on the e-learning systems for recommending a learning content to a student based on the difficulty of it. The difficulty is one of the most important factors for selecting a learning content. In the existing learning content recommendation systems, the difficulty of a learning content is determined by the creator. Therefore, it is not easy to apply a standard rule to the difficulty as it is determined by a subjective method. In this paper, we propose an ontology-based method for determining the difficulty of a learning content in order to provide an objective measurement. Previously, ontologies and knowledge maps have been used to recommend a learning content. However, their methods have the same problem because the difficulty is also determined by the creator. In this research, we use an ontology representing the IS-A relationships between words. The difficulty of a learning content is the sum of the weighted path lengths of the words in the learning content. By using this kind of difficulty, we can provide an objective measurement and recommend the proper learning content most suitable for the student's current level.

• Information Systems Review
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• v.11 no.1
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• pp.19-47
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• 2009

Many products today tend to adopt a convergence approach by adding new features or functionalities to the existing products. The convergence, however, results in both positive and negative effects on usage of products, and thus demonstrates the characteristics called "paradox of technology." On the one hand, the added functionalities or features will increase the usefulness of the products. On the other hand, the convergence increases complexity of learning and usage of products and may decrease satisfaction or user evaluations. This study provides an empirical evidence of this paradox through investigation of telematics, one of the exemplary products of convergence services. Our research model is designed to test the existence of the "paradox of technology" and includes variables such as variety of functions, complexity of usage, perceived usefulness, service evaluation, and service fit. The proposed research model and subsequent hypotheses are empirically tested using 149 survey responses from telematics users. We have found that the variety of functions is positively associated with perceived usefulness, but is negatively associated with the complexity of usage. The data analysis reveals that the perceived usefulness has more significant impacts on service evaluation than the complexity of usage does. Furthermore, the strength of causal relationships among these variables is partially moderated by the degree of service fit. This study thus highlights the paradox of technology in explaining user attitudes and beliefs associated with convergence services.

• The Journal of Information Systems
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• v.27 no.1
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• pp.171-191
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• 2018

Purpose Corporate technology leakage is not only monetary loss, but also has a negative impact on the corporate image and further deteriorates sustainable growth. In particular, since SMEs are highly dependent on core technologies compared to large corporations, loss of technology leakage threatens corporate survival. Therefore, it is important for SMEs to "prevent and protect technology leakage". With the recent development of data analysis technology and the opening of public data, it has become possible to discover and proactively detect companies with a high probability of technology leakage based on actual company data. In this study, we try to construct profiles of enterprises with and without technology leakage experience through profiling analysis using data mining techniques. Furthermore, based on this, we propose a classification model that distinguishes companies that are likely to leak technology. Design/methodology/approach This study tries to develop the empirical model for prevention and protection of technology leakage through profiling method which analyzes each SME from the viewpoint of individual. Based on the previous research, we tried to classify many characteristics of SMEs into six categories and to identify the factors influencing the technology leakage of SMEs from the enterprise point of view. Specifically, we divided the 29 SME characteristics into the following six categories: 'firm characteristics', 'organizational characteristics', 'technical characteristics', 'relational characteristics', 'financial characteristics', and 'enterprise core competencies'. Each characteristic was extracted from the questionnaire data of 'Survey of Small and Medium Enterprises Technology' carried out annually by the Government of the Republic of Korea. Since the number of SMEs with experience of technology leakage in questionnaire data was significantly smaller than the other, we made a 1: 1 correspondence with each sample through mixed sampling. We conducted profiling of companies with and without technology leakage experience using decision-tree technique for research data, and derived meaningful variables that can distinguish the two. Then, empirical model for prevention and protection of technology leakage was developed through discriminant analysis and logistic regression analysis. Findings Profiling analysis shows that technology novelty, enterprise technology group, number of intellectual property registrations, product life cycle, technology development infrastructure level(absence of dedicated organization), enterprise core competency(design) and enterprise core competency(process design) help us find SME's technology leakage. We developed the two empirical model for prevention and protection of technology leakage in SMEs using discriminant analysis and logistic regression analysis, and each hit ratio is 65%(discriminant analysis) and 67%(logistic regression analysis).

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.5
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• pp.43-59
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• 2018

The first purpose of this study is to find out whether internal support factors such as evaluation system, education support program, and human resources of universities are factors that influencing the motivation of technology transfer and commercialization among those engaged in technology transfer and commercialization activities. Second, verified the regulation effect of social support from the cause-and-effect relationship between motivation of technology transfer commercialization and the said internal factors. In order to analyze the above research, a questionnaire survey was conducted for the professors and employees engaged in the technology transfer and commercialization organization of 40 universities in Korea. A total of 160 surveys were distributed, of which 145 were collected. The results of analysis using SPSS Statistics 22.0 are as follows. First, all internal factors of university such as evaluation system, education support program, and human resources have significant influence on the motivation for technology transfer and commercialization. Second, as a result of analyzing the regulation effect of the social support in relation to the internal factor of the university and the motivation of technology transfer and commercialization, the quasi regulation effect can be founded in between evaluation system and motivation of technology transfer and commercialization. However, there is no regulation effect of social support between the education support program, human resources and motivation for technology transfer and commercialization. Based on the results of this study, suggestions can be founded for establishing a support policy for those who are engaged in technology transfer and commercialization in universities.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.5
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• pp.103-118
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• 2018

This study compared the production inducement effects of primary industries between Korea, China, and Japan for the period from 2000 to 2014, by examining the forward and backward linkage effects using the World Input-Output Tables. Although research on the industrial effect of primary industries has been conducted actively, this study is contributive since it compares the differences in industrial linkage effects between Korea, China, and Japan. According to Fisher(1939)'s and Clark(1957)'s classifications of primary industries, this study classified agriculture, forestry, fishing, and mining industries as primary industries. The analysis methodology of this study is to use the World Input-Output Tables to create the industry linkage model between Korea, China, and Japan, and then conduct a comparative analysis. According to the results of this study, the forward and backward linkage effects of agriculture industry between Korea, China, and Japan are significantly different, while the forward and backward linkage effects of forestry and fishing industries between Korea, China, and Japan are partially different. By comparing the changes in industrial dependencies of primary industries due to the 4th Industrial revolution between the three countries, this study suggested the future development direction of primary industries.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.6
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• pp.1-10
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• 2019

This paper proposes a method to improve the detectable distance by reducing noise to perform a signal processing technique on the received signals. To increase the radar detection range, the noise component of the received signal has to be reduced. The proposed method reduces the noise component by employing two methods. First, the radar signals received with multiple pulses are accumulated. As the number of additions increases, the noise component gradually decreases due to noise randomness. On the other hand, the signal term gradually increases and thus signal to noise ratio increases. Secondly, after converting the accumulated signal into the frequency spectrum, a Least Mean Square (LMS) filter is applied. In the case of the radar received signal, desired signal exists in a specific part and most of the rest is a noise. Therefore, if the LMS filter is applied in the time domain, the noise increases. To prevent this, the LMS filter is applied after converting the received signal into the entire frequency spectrum. The LMS filter output is then transformed into the time domain and then range estimation algorithm is performed. Simulation results show that the proposed scheme reduces the noise component by about 25 dB. The experiment was conducted by comparing the proposed results with the conventional results of the radars held by the Korea Aerospace Research Institute for the international space station.

• Management & Information Systems Review
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• v.33 no.1
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• pp.219-235
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• 2014

This study investigate the smart phone that is not included in the studies that test the effect of added functionalities to convergence products. There are several questions that PDA, MP3 players that are added a certain function can be good convergence product that consumers love and these are the products that has problem of decrease of sales volume because of the development of smart phone. It is a little bit strange to test these product for this study, so this study suggest a little different research tool compared to the past studies. The research implications are follows like theses. Brand awareness is important factor that decrease the uncertainties and risks specially when a innovative tech is added to smart phone. A situation that a innovative tech is added to smart phone is best to get the consumer's perceived innovativeness, value, and buying intention. And a situation that a innovative tech is added to smart phone in the context of low brand awareness is better than a situation that various normal teches are added to it.