• Journal of the Korean Geosynthetics Society
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• v.20 no.4
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• pp.151-163
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• 2021

This paper is dealt with railway slope stability for slope reinforcement using a geosynthetic concrete composite mat(GCCM). Recently, according to a change in weather caused by global warming, train operation has been restricted by the loss of backfill slope at the roadbed, which is consists of gravel, due to typhoons and heavy rainfall. In addition, the amount of damage is getting more significant than the cost of restoration, and the safety of workers is worried. In order to improve this limitation, a slope stability analysis was applied with a rapid hardening composite mat so that it can quickly secure a construction surface with increased workability and work stability and reduce maintenance costs by preventing re-loss in case of heavy rain and fundamentally blocking vegetation. As a result of the analysis, it was confirmed that the increase in safety factor was confirmed when the rapid harding composite mat was applied.

• Journal of Korean Library and Information Science Society
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• v.53 no.2
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• pp.95-115
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• 2022

The purpose of this study is to transform the sub-categorization terms of the National Science and Technology Standards Classification System into technical keywords by applying a machine learning algorithm. For this purpose, AttentionMeSH was used as a learning algorithm suitable for topic word recommendation. For source data, four-year research status files from 2017 to 2020, refined by the Korea Institute of Science and Technology Planning and Evaluation, were used. For learning, four attributes that well express the research content were used: task name, research goal, research abstract, and expected effect. As a result, it was confirmed that the result of MiF 0.6377 was derived when the threshold was 0.5. In order to utilize machine learning in actual work in the future and to secure technical keywords, it is expected that it will be necessary to establish a term management system and secure data of various attributes.

• Asia Marketing Journal
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• v.6 no.2
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• pp.55-68
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• 2004

After Nakanishi and Cooper(1982) suggested a way of transforming the complicated nonlinear MCI model into a simple linear form, the application of MCI model has been increased. However, the use of MCI model in Korea is quite limited. The goal of this paper is to demonstrate the practical application of MCI(Multiplicative Competitive Interaction) model to a consumer goods industry. MCI model is a form of the attraction model explaining the relation between marketing mix variables and market share. In this study, multiple sources of empirical data are incorporated in the model formulation stage. In the estimation process, the equity estimation is applied to solve the possible multi-collinearity problem among marketing mix variables. Results from the fitted model suggest meaningful managerial implications for the management of brand equity and the allocation of resources among marketing mix variables.

• Journal of Fashion Business
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• v.28 no.3
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• pp.90-103
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• 2024

The advancement of information and communication technologies has led to the rise of social media, giving rise to a new type of celebrity known as the "social media influencer". Social media influencers exert their influence not only by promoting products for various companies and brands but also by launching their own businesses. In other words, influencers leverage their credibility to create value in multiple markets as human brands, based on their unique characteristics and diverse images. Nowadays, social media influencers have become a type of human brand, supported by followers who enthusiastically engage in the influencers' businesses, a phenomenon also known as social shopping. Based on the human brand theory and doppelgänger effects, this study aims to investigate the impact of influencers' credibility, specifically their expertise, trustworthiness, and attractiveness on consumers' social shopping behaviors. Additionally, it examines the influence of consumers' desire to imitate influencers on their social shopping behaviors. A survey conducted with 300 female social media users revealed that trustworthiness and attractiveness significantly influenced imitation intentions and social shopping behaviors, while expertise did not show significant effects. Furthermore, imitation intentions had a significant impact on social shopping behaviors. These findings suggest that the attributes consumers perceive in influencers as human brands evoke a desire to imitate them, ultimately leading to social shopping behaviors.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.43-61
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• 2016

Customer reviews help potential customers make purchasing decisions. However, the prevalence of reviews on websites push the customer to sift through them and change the focus from a mere search to identifying which of the available reviews are valuable and useful for the purchasing decision at hand. To identify useful reviews, websites have developed different mechanisms to give customers options when evaluating existing reviews. Websites allow users to rate the usefulness of a customer review as helpful or not. Amazon.com uses a ratio-type helpfulness, while Yelp.com uses a count-type usefulness index. This usefulness index provides helpful reviews to future potential purchasers. This study investigated the effects of sentiment and readability on useful votes for customer reviews. Similar studies on the relationship between sentiment and readability have focused on the ratio-type usefulness index utilized by websites such as Amazon.com. In this study, Yelp.com's count-type usefulness index for restaurant reviews was used to investigate the relationship between sentiment/readability and usefulness votes. Yelp.com's online customer reviews for stores in the beverage and food categories were used for the analysis. In total, 170,294 reviews containing information on a store's reputation and popularity were used. The control variables were the review length, store reputation, and popularity; the independent variables were the sentiment and readability, while the dependent variable was the number of helpful votes. The review rating is the moderating variable for the review sentiment and readability. The length is the number of characters in a review. The popularity is the number of reviews for a store, and the reputation is the general average rating of all reviews for a store. The readability of a review was calculated with the Coleman-Liau index. The sentiment is a positivity score for the review as calculated by SentiWordNet. The review rating is a preference score selected from 1 to 5 (stars) by the review author. The dependent variable (i.e., usefulness votes) used in this study is a count variable. Therefore, the Poisson regression model, which is commonly used to account for the discrete and nonnegative nature of count data, was applied in the analyses. The increase in helpful votes was assumed to follow a Poisson distribution. Because the Poisson model assumes an equal mean and variance and the data were over-dispersed, a negative binomial distribution model that allows for over-dispersion of the count variable was used for the estimation. Zero-inflated negative binomial regression was used to model count variables with excessive zeros and over-dispersed count outcome variables. With this model, the excess zeros were assumed to be generated through a separate process from the count values and therefore should be modeled as independently as possible. The results showed that positive sentiment had a negative effect on gaining useful votes for positive reviews but no significant effect on negative reviews. Poor readability had a negative effect on gaining useful votes and was not moderated by the review star ratings. These findings yield considerable managerial implications. The results are helpful for online websites when analyzing their review guidelines and identifying useful reviews for their business. Based on this study, positive reviews are not necessarily helpful; therefore, restaurants should consider which type of positive review is helpful for their business. Second, this study is beneficial for businesses and website designers in creating review mechanisms to know which type of reviews to highlight on their websites and which type of reviews can be beneficial to the business. Moreover, this study highlights the review systems employed by websites to allow their customers to post rating reviews.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.4
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• pp.145-157
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• 2017

SMEs play an important role in the domestic economy. Regarding competency to respond flexibly to unpredictable changes, agility of SMEs is more emphasized. Entrepreneurship orientation is an important factor in the source of SMEs that enable such competency. Entrepreneurial orientation refers to the tendency of a CEO or a member of a corporation to be innovative, risk-taking, and active in the face of various market opportunities. In other words, it refers to the tendency to be expressed in the activities of the entire company without regard to specific technologies or industries. Entrepreneurial orientation has a direct or indirect effect on business performance. Therefore, in this study, we conducted theoretical and empirical studies on the effect of entrepreneurial orientation of SME managers on business performance. Research hypotheses were derived through theoretical research. We focused on the mediating effect of innovation activity and tried to identify the mechanism that entrepreneurial orientation leads to business performance through product innovation and service innovation activity. We investigated whether innovativeness, proactiveness, and risk-taking, which are sub-variables of entrepreneurial orientation, affect business performance through product innovation and service innovation. We conducted a survey of SMEs in Busan and Kyungnam regions to examine the research hypotheses. The results show that product innovation and service innovation have mediating effects. The results of the study are as follows. Product innovation has mediating effect of innovativeness and risk-taking on business performance. Service innovation has been found to mediate innovativeness, proactiveness, and risk-taking on business performance. There was a difference in the mediation effect between the two innovations. Product innovation showed a low mediating effect and a large direct effect. On the other hands, service innovation is relatively more mediating than product innovation. The implications of the research results are derived in relation to the essential differences between product innovation and service innovation. Limitations of the study and directions for future research are presented.

• Journal of Venture Innovation
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• v.1 no.1
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• pp.67-82
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• 2018

Lately, recognition of Corporate Social Responsibility (CSR) has been changing. CSR turned out to be a powerful tool which a company incorporates to improve its image. Nowadays, it is no longer an option, but a shared sense which is a source of corporate growth and competitiveness. CSR has changed with times and the economic environment, especially as the global value chain (GVC) came to be more vital, it became accepted as an effective means of growth strategy for small and medium exporters. For SMEs exporters, participating in GVC requires that they meet international standards for CSR demanded by global enterprises. Reflecting this trend, exporters should strive to achieve both goals of social responsibility fulfillment and efficient growth through CSR activities. As one of the key measures for a sustainable growth of an organization, the following are the policy implications. First, it is necessary to establish a national organization dedicated to CSR for small businesses. The central government should establish an organization which is exclusively responsible for CSR of SMEs and oversee the task of CSR of small businesses. Second, the development and verification of the CSV evaluation model should be promoted. The international trend of CSR should be promptly spread out to individual firms and supported to maximize economic effects through consultancy. Third, it should be linked to global advancement. CSR reports by small and mid-size businesses will have to be written to ensure that they have a real effect on the global value chain.

• Journal of the Economic Geographical Society of Korea
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• v.6 no.1
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• pp.61-77
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• 2003

Finns are central economic agents that play an important role in systems of innovation as they take responsibility for generating and diffusing knowledge in both organizational and societal context. They must be considered as learning organizations which interact with other finns and institutions that share their environment. The systems of innovation literature accentuates institutional conditions that influence innovation in sectoral, regional or national levels. Meanwhile, it tends to ignore the complex dimensions of finn practices in relation to learning and innovation activities. In this context, this paper attempts to examine what finns do for sustaining innovation and how they learn to innovate. This is not just critical to know individual finns innovativeness which depends on interactions with environments within and outside the organizational boundary but also to evaluate the regional innovation system potential. In short, it is important to see that finns would attempt to take advantage of distributed knowledge within and across the boundaries of the finn without sticking to particular regional innovation systems. I argue that the more finns of a cluster attempt not only to combine localized sources of knowledge and external sources of knowledge but also to become a learning organization, the more increased regional innovation system potentials can be.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.1
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• pp.19-28
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• 2013

This study emphasize the importance of founder having knowledge on detecting entrepreneurship opportunities and analyzed how the founder detects such opportunity using what process. I used people who have found and established a company on own as a survey sample. The result is like the following. First, it's found that most founders had business motivation before the establishment and used skills and knowhow from related area of business for their business establishment that led to the comparably safe business. Second, founders were highly motivated in advance of business establishment and it is found that their chance of establishment was not from the coincidence. Third, it is also found that people had pre-education on business establishment was very on purpose and those who had not had any education had a high chance of coincidence in the establishment. Fourth, it is found that higher the desire for the business achievement, more likely that the founder's business establishment was a plan. Fifth, it is found that higher the awareness of business opportunity and vision, more likely that the founder's business establishment was on plan.

• Information Systems Review
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• v.12 no.3
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• pp.89-116
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• 2010

The development and accomplishment of Open Source Software(OSS) is one of the hottest, as well as the most recent topics in the software industry. Prior studies with respects to OSS have concentrated on discovering both developers and users' rationales of participating OSS projects, analyzing specific OSS solutions or OSS movement itself. However, the empirical study on identifying determinants that influence organizational adoption of OSS and further diffusion of the technology has been a scant. Thus, the main purpose of this study is to investigate the key determinants affecting organizational adoption of OSS. The proposed research model incorporates organizational needs(Evolutional Leadership, Adaptive performance, Readiness for Change) and technological needs(Job Relevance, Cost Benefits, Software Quality) in order to explain organizational OSS adoption. Further, this study assesses the impact organizational OSS adoption has on the OSS Performance and OSS Diffusion. Results from 366 adopting organizations in various industries show three constructs in organizational needs and two constructs in technological needs with exception of Job Relevance have a significant influence on OSS Adoption; and adoption impacts its performance, and diffusion. The implications of the results suggest not only a new theoretical model for OSS research, but also the important implications for OSS diffusion.