• Management & Information Systems Review
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• v.7
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• pp.265-292
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• 2001

This paper examines what determines the use of contingent workers in Korean Department Stores. Drawing on internal labor market, transaction cost & agency, and bureaucracy theories, I hypothesize that four factors affect the use of contingent workers: job characteristics, HRM, occupation, and organizational characteristics. Data from a sample of employers surveyed by the author in 1997 were used to test the hypotheses, and analyses showed the following results. First, consistent with job-based perspective, we find that such job characteristics as firm-specific skill and the level of skill significantly affect the use of contingent workers. But job standardization and outcome measurability have no effects of its use. Second, also we find significant effects on the use of contingent workers of such HRM as scrutiny on employee selection and promotion system. The promotion system has expected effect on its use, but scrutiny on employee selection has opposite effect. Third, we find that occupation significantly affects the use of contingent workers, especially the extent of use of contingent workers of sales service is as five hundred times as that of managerial occupation. Fourth, also consistent with organizational-based perspective, we find that the firm's size significantly has positive effects, and affiliate company and labor union have negative effects. That is, the larger firm's size is, the more possibility of use of contingent workers exists, and the possibilities of its use reduce in case of affiliate company and in front of labor union. Finally, we discuss the implications and limits of theses findings.

• Asia Marketing Journal
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• v.12 no.1
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• pp.1-30
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• 2010

Customers often experience waiting for buying service. Managing customers' waiting time is important for service providers since customers who are dissatisfied with waiting, secede from a service place at last. Not a few studies have been done to solve waiting time problem and improve customers' waiting experience. Hui & Tse(1996) identify evaluation factors in customers' behavioral mechanism as customers wait. That is, customers experience perceived waiting time, waiting acceptability and emotional response to the wait when they wait. Since customers evaluate the wait using these factors, service provider should manage these factors in order to minimize customers' dissatisfaction. Therefore, this study explores that evaluation factors of waiting are influenced by customers' situational and experiential characteristics, which include customer loyalty, transaction importance for customer and waiting expectation level. Those situational and experiential characteristics are usually given to service providers so they can't control these at waiting point. The major findings derived from two exploratory studies can be summarized as follows. First, according to the result from the study 1 (restaurant setting), customers' transaction importance has the greatest positive influence on waiting experience. The results show restaurant service provider could prevent customers' separation effectively through strategies which raise customers' transaction importance, like giving special coupons for important events. Second, in study 2 (amusement part setting) customer loyalty has large positive impact on waiting experience as well as transaction importance. This results show that service provider could minimize customers' dissatisfaction using strategies which raise customer loyalty continuously. This results show customer perceives waiting experience differently according to characteristics of service place and service itself. Therefore, service provider should grasp the unique customers' situational and experiential characters for each service and service place. It could provide an effective strategy for waiting time management. Third, the study finds transaction importance and waiting expectation level have direct influence customers' waiting experience as independent variables, while existing studies treated them as moderators. Customer loyalty which has not been incorporated in previous waiting time research is known to affect waiting experience. It suggests that marketing strategy which builds up customer loyalty for long period of time is also quite effective, compared to short term tactics to help customers endure waiting time. Fourth, this study reveals the importance of actual waiting time along with perceived waiting time. So far most studies only focus on customers' perceived waiting time. Especially, this study incorporates the concept of patient limit on waiting time to investigate effect of actual waiting time. The results show that there were various responses to the wait depending on how actual waiting time exceeds individual's patent limit on waiting time or not, even though customers wait about the same period of time. Finally, using structural equation model, conceptual path between behavioral responses is verified. As customer perceives waiting time, then she decides whether she can endure it or not, and then her emotional response occurs. This result are somewhat different from Hui & Tse(1996)'s study. The study also includes theoretical contributions as well as practical implications.

• Management & Information Systems Review
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• v.29 no.4
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• pp.67-88
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• 2010

The primary purpose of this study is to examine the effects of information satisfaction on customer trust and future behavior intention in open markets. Based on relevant literature reviews, this study posits three information satisfaction characteristics, that is, seller information satisfaction, product information satisfaction, and transaction procedure information satisfaction as key determinants of customer trust and future behavior intention. And then we structured a research model and hypotheses about relationship between these variables. A total 253 usable survey responses of open market users have been employed in the analysis. The major findings from the data analyses are as follows. Firstly, all three kinds of seller information satisfaction, product information satisfaction, and transaction procedure information satisfaction have a positive influence upon customer trust. Secondly, customer trust have very significantly related to repurchase intention in open markets.

• Journal of Digital Convergence
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• v.10 no.9
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• pp.101-110
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• 2012

In recent days, lots of social commerce newly emerged business types of e-commerces are on the basis of social network. Therefore social commerce with social network might be powerful communication channel among customers and has suggested new paradigm in transaction model on the internet. In general, major roles of social commerce sites are to promote transaction with high discount rate and/or lots of event and to activate markets of local area. As characteristics of social commerce such as dynamic, rapid, and open, this research was assumed that design factors of sites that are different from existing e-commerce sites might be influential elements in decision making of purchase. This research is to empirically investigate which factors affect purchase decision making behaviors for 20s respondents who are major users of social commerce services. As a result major factor, easy-to-use, affecting decision making factors was identified and this result can give implication to researchers and persons in charge of fields who have interests in commerce site design and upgrade.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.529-539
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• 2003

Due to the emersion of J2EE (Java 2, Enterprise Edition), many enterprises inside and outside of the country have been developing the enterprise applications appropriate to the J2EE model. With the help of the component model of Enterprise JavaBeans (EJB) which is the J2EE core technology, we can develop the distributed object applications quite simple. EJB application can be implemented by using the component-oriented object transaction middleware and the most applications utilize the distributed transaction. Due to these characteristics, EJB technology became popular and then the study for EJB based application has been done quite actively. However, the research of techniques for the performance monitoring during run-time of the EJB applications has not been done enough. In this paper, we propose the techniques for monitoring the performance of EJB Application on the run time. First, we explore the workflow for the EJB application service and classily the internal operation into several elements. The proposed techniques provide monitoring the performance elements between the classified elements. We can also monitor by extracting the performance information like state transition and process time of the bean which is related to the lifetime occurred during one workflow, and the resource utilization rate.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.3
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• pp.457-473
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• 2016

This research investigates that role of space-based social capital presented in Dapsimni auto-parts shopping area considering Korean auto-parts industry and the regional characteristics of retailing industrial cluster. For this, it went through the process with in-depth interview and surveys of the owner of Dapsimni, social capital of retailing industrial cluster studied using Lin(1999)'s social capital model by separating formation, accessibility and mobilization of it. The result is that auto-part sellers in Dapsimni make themselves space-based social capital, which provides the profit from certain area: strengthening auto-parts of transaction cost and information exchange among them, creating new market for selling auto-parts. This meant that main factor sustaining the characteristic of retailing industrial cluster despite gradually decline of its role.

• 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.

• The Journal of Information Technology
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• v.1 no.2
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• pp.245-263
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• 1998

Buyers are transforming their relations with suppliers. For examples, Instead of playing off dozens or even hundreds of competing suppliers against each other, many firms are finding it more profitable to work closly with only a small number of ＂partners＂. If will facilitate a move from single-supplier arrangements(＂hierachies＂) to mutiple supplier arrangement(＂markets＂) because it reduces the costs of coordination with suppliers. According to this logic, Technological developments which lower the cost of acquiring information about prices and product characteristics in a given market should increase to the nymber of tends to lower coordination costs, it wide adoption should lead to an increase in the number of suppliers for most firms, other things being equal. An efficient merket is defined a one that reduces the numer of intermediaries, or the number of Intermediary steps necessary of market tracsaction. It is true that one can order some products via mail order, which reduces the number of intermediaries and cuts transaction costs further Similary, the growth of a global commerce nerwork such as the internet may futher reduce the number of intermediary steps necessary for trade.

• Journal of KIISE:Databases
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• v.36 no.5
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• pp.341-351
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• 2009

Recently high utility pattern (HUP) mining is one of the most important research issuer in data mining since it can consider the different weight Haloes of items. However, existing mining algorithms suffer from the performance degradation because it cannot easily apply Apriori-principle for pattern mining. In this paper, we introduce new high utility pattern mining approach by using a prefix-tree as in FP-Growth algorithm. Our approach stores the weight value of each item into a node and utilizes them for pruning unnecessary patterns. We compare the performance characteristics of three different prefix-tree structures. By thorough experimentation, we also prove that our approach can give performance improvement to a degree.

• Journal of KIISE:Databases
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• v.30 no.1
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• pp.95-107
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• 2003

The broadcast environment has asymmetric communication aspect that is typically much greater communication bandwidth available from server to clients than in the opposite direction. In addition, most of mobile computing systems allow mostly read-only transactions from mobile clients for retrieving different types of information such as stock data, traffic information and mews updates. Since previous concurrency control protocols, however, do not consider such a particular characteristics, the performance degradation occurs when previous schemes are applied to the broadcast environment. In this paper, we propose the efficient concurrency control for query transaction in broadcast environment. The following requirements are satisfied by adapting weak consistency that is the appropriate correctness criterion of read-only transactions: (1) the mutual consistency of data maintained by the server and read by clients (2) the currency of data read by clients. We also use the serialization graph scheme to check the weak consistency efficiently. As a result, we improved a performance by reducing unnecessary aborts and restarts of read-only transactions caused when global serializability was adopted.