• Journal of Internet of Things and Convergence
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• v.8 no.4
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• pp.85-96
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• 2022

The purpose of this study was to investigate how the management strategies and organizational culture required in the digital economy have an effect on business performance. It provided basic data on management strategies and organizational culture necessary to approach as a digital leading country. For data collection, a survey was conducted from March 1 to May 30, 2022 for companies located in J province and engaged in industries related to the digital economy. The survey was conducted online and non-face-to-face, and a total of 225 companies participated in the survey. For statistical analysis, frequency analysis, exploratory factor analysis and reliability analysis, cluster analysis, independent sample t-test, and multiple regression analysis were performed. The research results are as follows. First, organizational culture was classified into high and low groups according to preference in innovation oriented, relationship oriented, task oriented, and hierarchical oriented. Second, the 4 types of organizational culture showed differences in prospectors strategy, analyzers strategy, defenders strategy, differentiation strategy, cost leadership strategy, financial performance, and non-financial performance according to preference. Third, management strategies affecting financial performance were found to be analyzers strategy, differentiation strategy, prospectors strategy, and cost leadership strategy. Fourth, management strategies affecting non-financial performance were found to be differentiation strategy, defenders strategy, analysis strategy, offensive strategy, cost leadership strategy, and focus strategy. Fifth, organizational culture affecting financial performance was found to be task oriented. Sixth, organizational culture affecting non-financial performance was found to be innovation oriented and relationship oriented. Through these studies, it is expected that the economy will be revitalized in the domestic market and a growth ecosystem that can take a new leap forward is created in the global market.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.6
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• pp.317-324
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• 2010

This paper analyses the performance of push-pull strategy by Multicharts' portpolio tool. This strategy decreases a risk of option sell by moving an exercise price to outward and compensates the profit by doubling contracts. This strategy also makes risk-free option sell to move inward for earning gain. This strategy basically uses several symbols. And this feature makes impossible to use a portpolio tool. However, This paper provides the method to use it with extracting intrinsic data from a symbolname. As an experiment for one month of september experiment options, it shows 1.5 million won in case of 5-displace and also shows 32 million won in case of 2.5-displace. If a Margin is enough, this strategy always earns profit, but it's difficult to be applicated in real trades because of a margin risk.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.12
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• pp.5842-5861
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• 2019

A current autonomous vehicle determines its driving strategy by considering only external factors (Pedestrians, road conditions, etc.) without considering the interior condition of the vehicle. To solve the problem, this paper proposes "An Optimal Driving Support Strategy(ODSS) based on an Genetic Algorithm for Autonomous Vehicles" which determines the optimal strategy of an autonomous vehicle by analyzing not only the external factors, but also the internal factors of the vehicle(consumable conditions, RPM levels etc.). The proposed ODSS consists of 4 modules. The first module is a Data Communication Module (DCM) which converts CAN, FlexRay, and HSCAN messages of vehicles into WAVE messages and sends the converted messages to the Cloud and receives the analyzed result from the Cloud using V2X. The second module is a Data Management Module (DMM) that classifies the converted WAVE messages and stores the classified messages in a road state table, a sensor message table, and a vehicle state table. The third module is a Data Analysis Module (DAM) which learns a genetic algorithm using sensor data from vehicles stored in the cloud and determines the optimal driving strategy of an autonomous vehicle. The fourth module is a Data Visualization Module (DVM) which displays the optimal driving strategy and the current driving conditions on a vehicle monitor. This paper compared the DCM with existing vehicle gateways and the DAM with the MLP and RF neural network models to validate the ODSS. In the experiment, the DCM improved a loss rate approximately by 5%, compared with existing vehicle gateways. In addition, because the DAM improved computation time by 40% and 20% separately, compared with the MLP and RF, it determined RPM, speed, steering angle and lane changes faster than them.

• 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.1285-1294
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• 2005

This study was fulfilled in the purpose of proposing construction strategies of Internet shopping-mall through the analysis of consumer moving line in Internet shopping-mall. This study was executed in two stages: theoretical study, qualitative study. In the theoretical study, hypothetical Internet shopping behavior model were constructed. Five internet shopping behavior types of apparel : purchase, searching purchase, prepurchase deliberation, information accumulation, opinion leadership and recreation were constructed. Next, consumer decision process were extracted from previous studies and a hypothetical internet shopping behavior model was constructed on the base of consumer decision process and Internet shopping behavior types. And then, through the qualitative study, Internet shopping behavior types were identified and hypothetical model was confirmed after adjustment. For qualitative study, 30 subjects were sampled by focus sampling and investigated by in-depth interview and observation. Seven internet shopping behavior types of apparel were found by the qualitative study: cautious purchase by price comparison, searching purchase, special low price purchase, impulse purchase, prepurchase deliberation, information accumulation and recreation-oriented. On the base of these behavior types, Internet shopping behavior model was adjusted and completed. Finally, according to the results of this study, Internet shopping construction methods that made customer's loyalty high and marketing strategy of Internet shopping-mall were proposed.

• Management & Information Systems Review
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• v.17
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• pp.315-333
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• 2005

The Internet has been identified as the worlds fastest growing marketplace with seemingly limitless opportunities for marketing products and services. Logistics service quality is considered an essential strategy for success and survival in today's internet environment. Logistics excellence has become a powerful source of competitive differentiation within diverse marketing offerings of internet firms. The quality of logistics service performance is a key marketing component that helps create customer satisfaction. As the business environment has changed, the operations based definition of logistics service have evolved. The objective of this study is to examine the logistics service quality in internet shopping mall and the impact of logistics service quality on customer satisfaction. The quality factors of logistics service in this study are consist of five quality factor. The survey result is drive from a man experienced in used internet shopping mall. The finding suggest that logistics service quality of five factor had a positive effort on customer satisfaction. Specifically, timeliness had the most consistent positive effort on customer satisfaction.

• Journal of Information Technology Applications and Management
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• v.11 no.2
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• pp.205-214
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• 2004

Internet evolves into the huge network with new nodes inserted or deleted depending on specific situations. A new model of network topology is needed in order to analyze time-varying Internet more realistically and effectively. In this study the non-monotony models are proposed which can describe topological changes of Internet such as node insertion and deletion, and can be used for predicting its future topology. Simulation is performed to analyze the topology generated by our model. Simulation results show that our proposed model conform the power law of realistic Internet better than conventional ones. The non-monotony model can be utilized for designing Internet protocols and networks with better security.

• The Journal of Information Technology and Database
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• v.6 no.1
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• pp.27-46
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• 1999

This study was intended to find the use patterns of internet search engines of librarians and to measure the relationship between internet use frequency and the use behavior of internet search engines. The results showed that librarians use Web search engines for academic information retrieval and are satisfied with the search results. The major problems when librarians use search engines were that search engines retrieve many non-relevant documents. As a result of hypotheses test, the relationship between internet frequency and the preference of search engines was not significantly different. On the other hand, the hypotheses that internet frequency affects satisfaction of search results, recognition of importance of search engines, and the need of retraining of librarians for internet information retrieval were shown to be significant.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.19-40
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• 2009

In case of korea, it is said that the service of internet banking is in maturity regarding the number of transactions that internet banking process. So it is necessary to find out the factors that influence customer's trust on bank with the use of internet banking, to preserve existing customers. The purpose of this study is to investigate the effects of the internet banking service quality on trust of banks. For this purpose, eight hypotheses are empirically tested using logistic regression. The empirical results indicated that responsiveness, easy of use, and accuracy from the six dimensions of internet banking service quality factors take significant effect on trust of bank.

• The Research Journal of the Costume Culture
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• v.12 no.1
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• pp.41-58
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• 2004

The purpose of this paper was to propose the efficient strategies of internet fashion shopping malls to success in the internet shopping mall market growing rapidly. Representative 5 internet fashion shopping malls - Halfclub, Fashionplus, e-Hyundai, Hansol CSClub and LGeShop - were selected and in-depth interviews were performed to analyze their marketing 4P's strategies. The results of this study are as fellows. Five shopping malls'main targets are women in twenties and early thirties. The price strategies are various according to shopping malls'character. In general, there are small amounts of discounts on new products(about 5%) which are sold by department stores. Shopping malls executed delivery of goods by cooperation with distribution companies and direct distribution of subcontract companies. Shopping malls are sending e-mails to the members as a promotion strategy. CRM(Customer Related Management) is partially implemented. Joint purchase and various events are conducted frequently. Shopping malls guarantee exchange and refund services.

• Journal of Information Technology Applications and Management
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• v.18 no.1
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• pp.41-53
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• 2011

The rapid development and widespread application of Internet has provided a platform for people to participate and discuss social hotspot events. In the meantime, social events may be spread throughout the Internet more quickly and widely than they did ever before, and possibly lead to serious social problems due to opinion violence or seditious rumour. This paper analyzed the Internet spread of social events, and presented a five-stage model to describe the evolution process of that spread. Furthermore, the improved IBF algorithm was applied to extract a pruned connected graph aiming to find the key nodes and the shortest spread path for the control of that spread. After analyzing the different factors that may cause the netizens' attention, this paper concluded BBS type, the visit quantity and the opinion leader are key factors which affect the Internet spread. Based on those researches, a life-cycle emergency management methodology and the related strategies were proposed for the achievement of healthy spreading environment on Internet.