• The Journal of Industrial Distribution & Business
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• v.9 no.9
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• pp.45-52
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• 2018

Purpose - This case study is dedicated to the study of the presence of KIA Motors in the Kingdom of Saudi Arabia (KSA) and its market and entry strategies for strategic globalization that allowed the company to establish itself within a conservative and clustered marketplace dominated by American and Japanese international brands. Research Design, data, and methodology - The main information for the case was gathered through an interview and questionnaire from the executives of the KIA Al Jabr, which got the exclusive dealership in Saudi Arabia. Moreover, secondary data were obtained from reliable and authoritative sources such as the Saudi government agency publications, newspapers, international business journals. Other related periodicals based on the results from previous and current studies on similar topics were critically reviewed as well. Results - The findings of this paper show the different business environments of the Saudi market and the importance of various points regarding the company's global entry strategy even if the host market culture is quite different in many ways from other international markets. Conclusions - This case can provide Korean companies interested in the Middle East with insight into market penetration and global strategy, and present various perspectives and implications for global market access as well.

• The Journal of Information Systems
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• v.13 no.2
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• pp.65-88
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• 2004

This study is intended to identify success factors which influence the performance of the B2B e-marketplaces.Thestudyisfocused on the supply companies and conducted to provide local small businesses with guidelines to improve their competitiveness and to develop appropriate business strategies in the digital economy age. Based on the literature review, four characteristics which influence the performance of B2B e-marketplaces are identified. Such characteristics as strategic, operational, organizational, and product/service properties are then utilized to develop the survey questionaire. The data collection is first performed through e-mail and, after finding out the response rate was too poor to analyze the results, followed by visits to the companies which participate in e-marketplaces. SAS 8.1 is used for the data analysis. Demographic analysis is conducted to generate the general information of the companies responded, and factor analysis is performed for the validity test. Finally, multiple regression is used for the hypothesis testing. This study is expected to contribute to find out critical factors for the success of B2B e-marketplaces and suggest guidelines for local small businesses to develop an appropriate e-business strategy to improve their competitive position.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.9_10 s.146
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• pp.1306-1315
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• 2005

Impulse buying has been considered a pervasive and distinctive phenomenon in the modern lifestyle and has been receiving increasing attention from consumer researchers and theorists. In the modern marketplace, spontaneous urges to buy and consume often compete with the practical necessity to delay the immediate gratification that purchasing provides. The purpose of this study is to conceptualize and test the framework of impulse buying behavior for fashion products using structural equation model. Data were obtained from 413 students attending universities during schedules classes in Busan. Analysis of the data, utilizing AMOS 4.1, supported most of the predictions. The results showed that situational variable(time available) and individual variable(fashion involvement) have direct effects on consumers' shopping emotions, including positive and negative emotion. Positive emotions had effects on all types of impulse buying(planned impulse buying, reminded impulse buying, and fashion-oriented impulse buying), while negative emotion affected two types of impulse buying(reminded impulse buying and fashion-oriented impulse buying). These emotional experiences influence impulse buying behaviors for fashion products serving as critical mediators. The findings suggest that time available and fashion involvement are good predictors mediated by shopping emotion to impulse buying behavior for fashion products. The implications of this research for future work on the shopping emotion and impulse buying behavior are discussed.

• The Journal of Industrial Distribution & Business
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• v.13 no.7
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• pp.27-35
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• 2022

Purpose: To entice new customers, companies attach their products to sports. From a pastime enjoyed by many to a multi-billion-dollar enterprise, the sport has evolved due to the growth in sports marketing spending. The purpose of this study is to illustrate the notion of sports media marketing using the prior textual data. Research design, data and methodology: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was conducted to investigate previous literature to achieve the purpose of the study. This method includes searching for information sources, selection of articles, and results extraction relative to the objectives. Results: The findings from prior systematic review indicated that customers and the marketplace can be better understood with the help of well-executed marketing campaigns. Moreover, many different techniques are being utilized to describe sports marketing such as the use of media, advertisement, public relations, and direct sales. Conclusions: All in all, the present study concludes that the notion of associative competitiveness is one of the unique characteristics of the sports sector. As a result, sports leagues and federations must maintain a balance within the league and develop a shared marketing strategy to help promote their respective sports and competitions.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.93-103
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• 2022

The main purpose of this study was to gauge the patient satisfaction index and subsequently discuss the Importance-Performance (IP) matrix analysis of the inpatient services in the context of the private hospital setting. The Malaysian Customer Satisfaction Index Model was employed as the theoretical framework for the above purposes. This study involving 242 patients in Malaysian's private healthcare sector used a Web-based survey as the main method of data collection. Partial least square structural equation modeling (PLS-SEM) was utilized for data analysis. Using Fornell et al. (1996)'s formula, the resulting patient satisfaction index was slightly lower than the "very satisfied" category, the target level required for positioning as one of the world's premier medical tourism players. The IP matrix showed that medical quality is the main competitive advantage of the private hospitals that can propel their growth in the global healthcare marketplace. The results also indicate that outcome quality, patient rights, and privacy, and service quality are the three quality domains that need to be prioritized for further improvement. On the other hand, the servicescape quality domain needs to be strategized as the unique selling proposition as the performance of the private hospitals in this regard is already extremely good.

• The Journal of Industrial Distribution & Business
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• v.14 no.10
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• pp.1-9
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• 2023

Purpose: In an increasingly globalized world, foreign direct investment (FDI) plays an essential role in the economic improvement of countries. This study aims to delve into the topic of overseas direct investment (FDI) and offer a complete analysis of its strategic advantages and disadvantages. By thoroughly examining the present literature, this study aims to discover and explore the diverse advantages and drawbacks. Research design, data and methodology: The information analysis system systematically and rigorously examined the selected studies. The evaluation will follow a thematic technique in which conventional subject matters and styles associated with FDI's strategic benefits and downsides can be recognized and synthesized. Data extraction contained relevant facts from the chosen research, along with the study objectives. Results: This study provides the findings of the, which explores the strategic advantages and disadvantages of foreign direct investments (FDI) primarily based on the evaluation of previous research. A comprehensive review of the identified benefits and drawbacks highlights their implications for businesses engaged in FDI. Conclusions: In sum, the findings offer valuable insights for practitioners, guiding their decision-making methods in the international commercial enterprise landscape. Organizations can function for fulfillment and sustainable development in the global marketplace by leveraging the advantages and effectively managing demanding situations.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.3
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• pp.635-644
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• 2024

Although the business model(BM) patents act as a creative bridge between technology and the marketplace, limited scholarly attention has been paid to the content analysis of BM patents. This study aims to contextualize converging BM patents by employing topic modeling technique and clustering highly marketable topics, which are expressed through a topic-market impact matrix. We relied on BM patent data filed between 2010 and 2022 to derive empirical insights into the commercial potential of emerging business models. Subsequently, nine topics were identified, including but not limited to "Data Analytics and Predictive Modeling" and "Mobile-Based Digital Services and Advertising." The 2x2 matrix allows to position topics based on the variables of topic growth rate and market impact, which is useful for prioritizing areas that require attention or are promising. This study differentiates itself by going beyond simple topic classification based on topic modeling, reorganizing the findings into a matrix format. T he results of this study are expected to serve as a valuable reference for companies seeking to innovate their business models and enhance their competitive positioning.

• Journal of Distribution Science
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• v.22 no.9
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• pp.13-25
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• 2024

Purpose: This study explores the complex interplay between service quality, customer engagement, and loyalty in the e-commerce sector, examining the moderating effect of technological adoption on these crucial relationships. Research design, data and methodology: Employing a robust multi-method approach, the research analyzes data from 481 e-commerce users, leveraging the complementary strengths of partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis(fsQCA). Acomprehensive multi-group analysisis conducted to uncover differences between experienced and non-experienced users. Results: PLS-SEM reveals that service quality significantly influences customer engagement, which in turn drives loyalty. Technological adoption positively moderates the service quality-engagement relationship. The multi-group analysis uncovers notable differences between user segments. fsQCA identifies two distinct configurational paths consistently leading to high customer loyalty: high customer engagement and high service quality. Conclusions: This study's innovative integration of PLS-SEM and fsQCA contributes to a deeper understanding of the intricate dynamics driving e-commerce success. Findings provide actionable insights for e-commerce businesses to enhance service quality, foster engagement, and cultivate loyalty. This research lays the groundwork for further exploration of these critical relationships in different contexts, offering a nuanced perspective on the complex interplay of factors shaping customer behavior in the digital marketplace.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.115-122
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• 2019

In the online marketplace, consumers are exposed to various products and freely express opinions. As consumer product reviews have a important effect on the success of online markets and other consumers, online market needs to accurately analyze the consumers' emotions about their products. Text mining, which is one of the data analysis techniques, can analyze the consumer's reviews on the products and efficiently manage the products. Previous studies have analyzed specific domains and less than 20,000 data, despite the different accuracy of the analysis results depending on the data domain and size. Further, there are few studies on additional factors that can improve the accuracy of analysis. This study analyzed 72,530 review data of food product domain that was not mainly covered in previous studies by using ensemble technique. We also examined the influence of summary review on improving accuracy of analysis. As a result of the study, this study found that Boosting ensemble technique has the highest accuracy of analysis. In addition, the summary review contributed to improving accuracy of the analysis.

• The Journal of Society for e-Business Studies
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• v.15 no.4
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• pp.265-284
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• 2010

B2B e-commerce guarantee service is a guarantee service combining the electronic systems among Korea Credit Guarantee Fund(KCGF), banks and e-marketplaces to process all procedures on internet ranging from application for credit guarantee, issue of written guarantee and contracting for a commerce to payment. B2B e-commerce guarantee service plays as an intermediary role in financial support for small and mediumsized enterprise(SME), which are small size, low credit level, and unfavorable status in many aspects compared to major companies. Despite the B2B e-commerce guarantee service has various advantages conducive to promotion of e-commerce among small and medium businesses as well as development of e-commerce itself, it has yet to be diffused due to lack of acknowledgement, misunderstanding of its functions and vague psychological fear of the on-line settlement. Thus, this study identifies the values and effects of the B2B e-commerce guarantee service using financial data and cases. The process of this study is 4 phase. first phase is analysis of B2B e-commerce guarantee service and e-Marketplace. second phase is analysis of performance from the Perspective of Diverse Participants. third phase is analysis of economic performance and support for SME. last phase is policy suggestions and conclusion.