• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.113-128
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• 2022

This research emphasizes on the role of congruence between the sponsor and the sponsored unit that effect sponsor's brand image, attitudes towards it and the memorization of the sponsor's name. The contribution of this research is highlighted especially during the sponsorship of national football team during the 2018 football World Cup. Because of the increasing cost of sponsorship, it has become essential for sponsors to understand how the direct and indirect audience responds to their congruence with the sponsored sports team; and which of the two types of audiences is more and more receptive to their actions. Specifically researchers were not conscious about the level of congruence that optimizes the effects on the sponsor. Therefore, this research aims to characterize the congruence between the marks of the sponsors and the football team through a survey administered face to face. Then, we test the global model to determine if the sponsorship operation has more impact on the sponsor in case of high, low or average congruence? To respond to our research questions we selected two samples from customers that were exposed to the sponsoring actions two ascertain the exploratory and confirmatory steps. The first sample consists of 200 interviewees and the second 400 are considered as an acceptable representation guarantee for our research. In addition, we propose to validate the research model and test the inherent hypotheses that analysis the relationship between the chosen constructs.

• Journal of Korea Trade
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• v.25 no.4
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• pp.108-127
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• 2021

Purpose - On the basis of knowledge transfer theory, we empirically explored how three types of human resource (HR) innovation knowledge exchange within a Chaebol drive the global subsidiary performance of the headquarters (HQ) of a Chaebol's globally affiliated companies. Design/methodology - Using a sample of 176 Korean HQ firms of the top 53 Chaebols and 1,061 of their foreign manufacturing subsidiaries (n = 1,061), we tested the relationship between the exchange of explorative and exploitative sustainable HR innovation knowledge among HQ firms of Chaebols, their subsequent transfer of technical HR knowledge via technical schemas, and the subsequent impact on the global subsidiary performance. Findings - The Chaebols' decisions about the three strategic knowledge management options (i.e., the degree of exchange of explorative and exploitative technological HR innovation knowledge and the extent of HQ-subsidiary HR knowledge transfer) have highly significant relationships with the global subsidiary performance. The results help explains the conditions under which the explorative versus exchange of exploitative sustainable HR innovation knowledge pays off by showing the moderating role of the degree of HQ-to-subsidiary technical HR knowledge transfer, at least in the case of the Chaebol as one representative type of the emerging-market business groups. Originality/value - As the first of its kind in the field of sustainable HR innovation knowledge management at the business group level, the present study makes a clear contribution in demonstrating how the performance of Chaebols' manufacturing subsidiaries depends greatly on their strategy for management of knowledge, as reflected in the choices they make about sharing both explorative and exploitative sustainable HR innovation knowledge among HQ firms and the subsequent transfer of HQ's sustainable HR innovation knowledge to the foreign subsidiaries.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.480-502
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• 2022

This work assesses the degree of satisfaction tourists receive as final recipients in a tourism destination based on the fact that satisfied tourists can make a significant contribution to the growth and continuous improvement of a tourism business. The work considers Pokhara, the tourism capital of Nepal as a prefecture of study. A stratified sampling methodology with open-ended survey questions is used as a primary source of data for a sample size of 1019 for both international and domestic tourists. The data collected through a survey is processed using a data mining tool to perform multi-dimensional analysis to discover information patterns and visualize clusters. Further, supervised machine learning algorithms, kNN, Decision tree, Support vector machine, Random forest, Neural network, Naive Bayes, and Gradient boost are used to develop models for training and prediction purposes for the survey data. To find the best model for prediction purposes, different performance matrices are used to evaluate a model for performance, accuracy, and robustness. The best model is used in constructing a learning-enabled model for predicting tourists as satisfied, neutral, and unsatisfied visitors. This work is very important for tourism business personnel, government agencies, and tourism stakeholders to find information on tourist satisfaction and factors that influence it. Though this work was carried out for Pokhara city of Nepal, the study is equally relevant to any other tourism destination of similar nature.

• Journal of Appropriate Technology
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• v.5 no.2
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• pp.97-105
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• 2019

Most of the BoP (Base of the Pyramid) do not have the economic power to eat balanced nutrients. Therefore, the solution is to add essential nutrients to the food you eat. This method can improve nutrition without putting an economic burden on the BoP classes. The aim of the paper is to apply the strategic management process for analysing BoP solutions in nutrition improvement sector. This allows identification of critical aspects in developing BoP solutions. This includes reaching sustainability related objectives. Two cases (Ajinomoto, Grameen Danone) covering both products and services have been researched, allowing a contribution towards the applicability of strategic management in respective situations. In this study, we analyzed the case through the "Appropriate Technology 2.0" framework of Polak and Warwick (2014). In addition, we introduced the strategy of BoP business. Based on the results of this analysis, we analyzed the success factors of appropriate technology business in the emerging markets through the 4A model.

• Asia Marketing Journal
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• v.14 no.3
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• pp.103-118
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• 2012

Although music is one of the most important attributes of broadcasting communications, few studies have examined the relationship between background music and the behavior of audiences, particularly in the context of TV home shopping programs, where purchase decisions are made while watching the show. The objective of this study is to examine whether certain characteristics of music in broadcasting communications can affect the audiences' purchase intentions or behaviors. Unlike previous studies on this issue, this study considers the impulse-inducing capability (IIC) of music as an important variable affecting consumers' purchase intension. A 2×3 (high/low involvement and high/low/no IIC music) between subjects design was used for the experiments in the study. The TV home shopping programs in the high or low involvement condition were identical except for the type of background music: high IIC music, low IIC music, and no music. A total of 188 undergraduate students at a college in Seoul, South Korea participated in the study. Their ages range from 20 to 25 (median age = 22), and nearly 60% were male. Our analysis showed that in the low involvement condition, high IIC music was more likely to have a positive effect on purchase intentions than low IIC (common) music or no music did. Meanwhile, there was not any significant relationship between music and purchase intentions in the high involvement condition. Given that previous studies have provided no clear evidence of the effects of music on consumers' purchase intentions or behaviors, this study makes an important contribution to the literature in this field. The result of this study provides implications to the practitioners in the market, too. Marketers need to reevaluate the value of music used in broadcasting communications and pay more attention to find the right music for their campaigns. Limitations of this study as well as directions for future studies are also discussed.

• Asia Marketing Journal
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• v.14 no.4
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• pp.35-56
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• 2013

The era of globalization provides us with both opportunities and threats. The success of a multinational corporation depends largely on its ability to adapt itself to new market environment. We believe that understanding and implementing multicultural PR strategy can be a key to the multinational corporations' success in foreign markets. We argue in this paper that even a global iconic company such as Google needs to focus on how to understand local consumers' needs and preferences before formulating and implementing PR strategy. Having a global hit product or service is not sufficient enough to be successful in some foreign markets. It is especially more evident in the industries where companies deal with individual consumers, and perceptions and sentiments play a large role in their purchase decisions. The objective of this research is to find out the relationship between multicultural PR strategy and business performance. Therefore, our main hypothesis is; better implementation of multicultural PR strategy by a multinational corporation will result in higher performance in the foreign markets. To prove the relationship between multicultural PR strategy and performance, we designed a framework that uses Rudan's (2004) five rules for multicultural PR strategy. It is a contribution to the business academics as there are very few studies that directly focus on and analyze the multicultural aspects of a multinational company's PR strategy. Through our research, we found strong evidence that there is a positive relationship between the level and effectiveness of a company's multicultural PR strategy and its performance in the foreign markets. This offers some meaningful implications to the managers of the multinational corporations and those who are considering going into a foreign market for the first time. We also suggested a way of measuring the implementation of multicultural PR strategy. By applying five rules for multicultural PR strategy to Google's PR activities, it allowed us to convert qualitative information into quantitative data. This kind of tool can be helpful for multinational corporations that want to evaluate their own PR activities.

• Management & Information Systems Review
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• v.12
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• pp.117-136
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• 2003

Korea has suffered from unemployment of workers discharged from the companies and graduates, and matriarchs since 1997's IMF. Since then Korea has fallen into economic depression, therefore the graduates have not employed for several years and lots of workers have been discharged from their positions. SOHO(Small Office Home Office) is able to be considered as the alternative employing measure of the unemployers. SOHO foundation makes a great contribution to job creation and the social welfare throughout the country. Since its foundation needs small-scale facilities and investment, the discharged and unemployed can found SOHO easily and will do good business. Korea government should practice policies in order to promote SOHO foundation as follows. First, Korean government should enlarge various support measures for SOHO foundation, namely offering of useful information and promoting of SOHO foundation, etc. Second, she should carry out the SOHO foundation education for juveniles. In order to do this project, colleges and universities adopt the SOHO foundation lesson in the education course. Third, government should enlarge various government subsidies of SOHO foundation for the benefit of the discharged and unemployed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.2
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• pp.841-854
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• 2020

The paper explains the method to process, analyze and predict traffic patterns in Los Angeles county using Big Data and Machine Learning. The dataset is used from a popular navigating platform in the USA, which tracks information on the road using connected users' devices and also collects reports shared by the users through the app. The dataset mainly consists of information about traffic jams and traffic incidents reported by users, such as road closure, hazards, accidents. The major contribution of this paper is to give a clear view of how the large-scale road traffic data can be stored and processed using the Big Data system - Hadoop and its ecosystem (Hive). In addition, analysis is explained with the help of visuals using Business Intelligence and prediction with classification machine learning model on the sampled traffic data is presented using Azure ML. The process of modeling, as well as results, are interpreted using metrics: accuracy, precision and recall.

• Culinary science and hospitality research
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• v.23 no.6
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• pp.11-19
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• 2017

The purpose of this article was to study the influence of eco-friendly management on customer's purchasing-intention at franchise Korean restaurants. In this research, factor analysis and multi regression analysis were used. Eco-friendly management was divided into 4 factors. Eco friendly service affected positively brand image (p<0.05). Energy saving positively affected brand image (p<0.005). Contribution to local society positively affected brand image (p<0.05). Menu composition affected the most positively brand image (p<0.001). At last, brand image had positive influence on purchasing intention (p<0.001). According to these results, we confirmed that the factors of eco friendly management influenced significantly on the customers' perception of brand image. As a result, food service corporations need to deal with the factors of eco friendly management efficiently. The findings of this research would help business management to build effective service marketing strategies and to satisfy the needs of customers at franchise Korean restaurants.

• Journal of the Korea Society of Computer and Information
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• v.22 no.2
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• pp.51-57
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• 2017

The first thing to be prioritized is to set the scope of the management system when establishing an information security management system for systematic and effective information security management. It is important to set the scope for an organization's information security goals due to the scope affects the organization's overall information security activities. If the scope is set incorrectly, it might become impossible to protect important services and therefore, the scope of the management system should be determined in consideration of the core business services of the organization. We propose a core service selection model based on the organization's mission-critical service and high risk service in order to determine the effective information security management system scope in this paper. Core service selection criteria include the type of service, contribution to sales, socio-economic impact, and linkage with other services.