• Journal of Korean Society for Quality Management
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• v.47 no.2
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• pp.295-314
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• 2019

Purpose: This study aims to investigate the factors affecting productivity performance for Korean SMEs of manufacturing which had obtained the certification of Productivity Management System(PMS) that is a Korean assessment program for enhancing maturity of company's management systems. Methods: The proposed model is based on the PMS model. The valid 759 data registered from 2010 to 2018 year was analyzed using SEM analysis for testing hypotheses. Results: The results are as follows. First, Leadership affects the five core sub-system processes positively, but doesn't a significant Business Performance directly. Secondly, HRM, Customer & Market Analysis, and Process Management excluding Productivity Development and Measurement Analysis and Knowledge Management have a significant effect on Business Performance. Lastly, when examining the mediation effect, Process Development, Customer & Market Analysis, and HRM have indirectly effect between Leadership and Business Performance. Conclusion: This study results suggest not only the role of leadership to improve productivity performance of SME, but also which core processes are focused and differentiated.

• Knowledge Management Research
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• v.23 no.1
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• pp.47-67
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• 2022

Computer and Internet information technologies(ICTs) have changed the modern service industry and people's life style. In particular, the global spread of COVID-19 has attracted more attention to contact service types such as self-service technology. With the increase in labor costs and the enhancement of consumer self-awareness, more and more companies transfer part of their work to customers through their own service technology. This study seeks to answer the following questions. (1) Do technology difficulty and safety perception affect customer value recognition in the self-service technologies? (2) Does customer value recognition influence the intention to use such technologies continuously? This study conducted an empirical analysis with 327 samples to validate the influence of self-service characteristics(technology difficulty and safety perception) on customer value recognition and continuous utilization intentions. Also, it analyzes the moderating effects of age and frequency of use on the relationship between self-service characteristics and customer value recognition. The study results show that the technology difficulty does not affect the customer's perceived value recognition; and the higher the customer's value recognition, the higher the intention of continuous use.

• Journal of Distribution Science
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• v.15 no.4
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• pp.41-57
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• 2017

Purpose - With the growth of the duty free shop field and an increase in the executive interest in it, it becomes necessary to examine if PBZ (1988) SERVQUAL could be applied to duty free shop service reflecting on this increased interest and the importance of marketing strategy alternative managing multinational customers. Therefore, the present research focused on the comparison of Korean and Chinese consumers. We examined how service quality would affect relationship quality and customer loyalty. Research design, data, and methodology - Surveys were distributed to 235 Korean and 220 Chinese consumers who have visited a Korean duty free shop. We analyzed frequency analysis, mean difference analysis, and reliability analysis, exploratory factor analysis, confirmatory factor analysis, structural equation model analysis, and multi-group analysis. Results - First, perceived tangibles, responsiveness, empathy, assurance, price benefits, product diversity, and IT convenience of duty free shop service all appeared to be positive effect on customer satisfaction; at the same time, only tangibles, responsiveness, empathy, assurance, and price benefits positively affected customer trust. Secondly, customer satisfaction and trust that are the components of the relationship quality appeared to be positive effect on customer loyalty. Thirdly, customers' satisfaction was found to play a full mediating role effect among all of the service quality factors with customer loyalty; however, customer trust was found to have the mediating effects only with tangibles, empathy, assurance, and price benefits. Fourthly, we found a difference between how service quality influences relationship quality and how service quality influences customer loyalty as a function of different nationality. As a result, it appeared that price benefits and IT convenience affected customer satisfaction more among Koreans than among Chinese. Finally, it appeared that customer satisfaction and trust affected customer loyalty more among Chinese than among Koreans. Conclusions - The results of this study contribute to the theoretical knowledge, but also provide strategic alternatives to enhance differentiation, international competence of enterprises led by duty free shop and service quality improvement and customer loyalty of enterprises are drawn as a foundation for constructing international customer relationship in future global era.

• Information Systems Review
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• v.10 no.2
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• pp.137-158
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• 2008

Rapid development of various information technologies creates new opportunities in online and offline markets. In this changing market environment, customers have various demands on new products and services. Therefore, their power and influence on the markets grow stronger each year. Companies have paid great attention to customer relationship management. Especially, personalized product recommendation systems, which recommend products and services based on customer's private information or purchasing behaviors in stores, is an important asset to most companies. CRM is one of the important business processes where reliable information is mined from customer database. Data mining techniques such as artificial intelligence are popular tools used to extract useful information and knowledge from these customer databases. In this research, we propose a recommendation system that predicts customer's purchase intention. Then, customer's purchasing intention of specific product is predicted by using data mining techniques using receipt data set. The performance of this suggested method is compared with that of other data mining technologies.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.494-501
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• 2003

Web casting has become an important opportunity to apply the user-centered concept to broadcasting because it provides real-time interactive service through time and space. It is also necessary to have a new understanding about user who is not a passive viewer any more but an active user. The amount and quality of contents are also important, but usability is a competitive factor as well as the fundamental customer services that have user best experience at the site. Nevertheless most of web casting sites show the low level of usability. In this study we had a comparative evaluation among these sites, MBC, KBS and SBS, which are the representative broadcasting systems. The tests were carried out as heuristic evaluation and usability testing. We analyzed causes and problems of web usability for customer satisfaction and reliability exaltation, and expected the basic knowledge of developing and improving sites.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.1
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• pp.183-196
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• 2015

With widespread use of smart phones, SNS has been growing rapidly. Companies are required to do its utilization and a preemptive response. However, taking advantage of SNS is still insignificant in the companies. Compared with traditional marketing, people still consider the SNS marketing unfamiliar. This study is aimed at widening the breadth of understanding of marketing activity using SNS and inquiring into its effective applications. In an effort to achieve this research objective, first, this study analyzed the aspect of real applications by reviewing diverse practical business cases. Second, this study provided the momentum of the understanding of SNS marketing-based knowledge. The effective method of producing consumer-intimate products and services lies in customers' participation in development and production. SNS marketing is the very communication and gives ear to a customer's voice. Earnest and creative SNS marketing will play a role as a stepping-stone for businesses to move much closer to a customer.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.257-269
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• 2021

Intellectual capital is becoming a crucial factor for a firm's long-term profit and performance in the knowledge-based economy as more firms identify their core competence as invisible assets rather than visible assets (Itami, 1987). The company was encouraged to measure financial and non-financial factors, including the customer perspective groups, the internal business process, learning and growth perspective, then to link all these measurements in a coherent system. This paper seeks to investigate the influence of intellectual capital elements on company performance, as well as the relationship among intellectual capital elements from a cause-effect perspective. Resource-Based View (RBV) considers intellectual capital as resource and capability to sustain competitive advantage on company performance. The partial least squares approach is used to examine listed banks in Indonesia Stock Exchange for year 2017-2019. Results show that human capital directly has positive influences on innovation capital, customer capital, and process capital. Innovation capital has positive, but less significant influence on process capital, which in turn influences customer capital. Human capital and process capital also influence customer capital. Finally, customer capital contributes to performance. This study helps management to identify relevant intellectual capital elements as competitive advantage and their indicators to enhance business performance.

• International Journal of Quality Innovation
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• v.8 no.3
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• pp.81-112
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• 2007

In the competitive global market, firms have to keep profit from innovation activities. A firm makes profits by offering products or services at a lower cost than its competitors or by offering differentiated products at premium prices that more than compensate for the extra cost of differentiation. The IC Package and Testing technology industries were the first high technological industry to build in Taiwan. The Package and Testing industries in Taiwan adopted competitive innovation activities to become stronger. In our study, we want to know how innovation activities influence a firm operating in the IC Package and Testing industries. Our study used a questionnaire and Likert five-point scale to survey the innovation activities, customer and feedback in innovation performance in the IC Package and Testing industry. The wafer level chip size packing technology in our study indicates the innovation activities. Because we need to compare the difference between the wafer level chip size packing technology and wire bonding technology to recognize innovation and how the innovator and customer were influenced. Our conclusions are described below: (1) When the innovator adopts innovation activities that can be maintained using experiments and knowledge, using machine and decision variables more quickly will produce success; (2) Innovators should adopt innovation activities that focus on customers that use knowledge and experimentation, training time and cost. If an innovation forces customers to spend much time and cost to learn new technology or applications, the innovation will not be adopted; (3) Innovators that create innovation performance higher than his customers must also consider the impact upon their customers. We have to remind innovator to focus on why their customers have a different level of evolution in the same innovation activities.

• Journal of Information Processing Systems
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• v.16 no.2
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• pp.377-393
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• 2020

Freight management systems require a new business model for rapid decision making to improve their business processes by dynamically analyzing the previous experience data. Moreover, the amount of data generated by daily business activities to be analyzed for making better decisions is enormous. Online-to-offline or offline-to-online (O2O) is an electronic commerce (e-commerce) model used to combine the online and physical services. Data analysis is usually performed offline. In the present paper, to extend its benefits to online and to efficiently apply the big data analysis to the freight management system, we suggested a system architecture based on O2O services. We analyzed and extracted the useful knowledge from the real-time freight data for the period 2014-2017 aiming at further business development. The proposed system was deemed useful for truck management companies as it allowed dynamically obtaining the big data analysis results based on O2O services, which were used to optimize logistic freight, improve customer services, predict customer expectation, reduce costs and overhead by improving profit margins, and perform load balancing.

• Knowledge Management Research
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• v.21 no.1
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• pp.175-195
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• 2020

The development of platform service based on the information and communication technology has revolutionized patterns of commercial transactions, driving the growth of global economy. Furthermore, the radical advancement of artificial intelligence(AI) presents the huge potential to innovate almost all the industrial and economic activities. Given these technological developments, the goal of this paper is to investigate AI's impact on the platform service innovation as well as its influence on the business performance. For the goal, this paper presents the review of the types of service innovation, the nature of platform services, and technological characteristics of leading AI technologies, such as chatbot and recommendation system. As an empirical study, this paper performs a multiple case study of Kakao Group which is the leading mobile platform service with the most advanced AI in Korea. To understand the role and effect of AI on Kakao platform service, this study investigated three cases, including chatbot agent of Kakao Bank, Smart Call service of Kakao Taxi, and music recommendation system of Kakao Mellon. The analysis results of the case study show that AI initiated innovations in platform service concepts, service delivery, and customer interface, all of which lead to a significant decrease in the transaction costs and the personalization of services. Finally, for the successful development of AI, this research emphasizes the significance of the accumulation of customer and operational data, the AI human capital, and the design of R&D organization.