• 한국경영과학회지
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• 제38권4호
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• pp.53-63
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• 2013

Together with soaring interest on Big Data, now there are vigorous reports that unearth various social values lying underneath those data from a number of application areas. Among those reports many are using such data as Internet search histories from Google site, social relationships from Facebook, and transactional or locational traces collected from various ubiquitous devices. Many of those researches, however, are conducted based on the data sets that are accumulated over the North American and European areas, which means that direct interpretation and application of social values exhibited by those researches to the other areas like Korea can be a disturbing task. This research has started from a validation study against Korean environment of the former paper which says an investment strategy that exploits up and down of Google search volume on a carefully selected set of terms shows high market performance. A huge difference between North American and Korean environment can be eye witnessed via the distinction in profit rates that are exhibited by the corresponding set of search terms. Two sets of search terms actually presented low correlation in their profit rates over two financial markets. Even in an experiment which compares the profit rates with two different investment periods with the same set of search terms showed no such meaningful result that outperforms the market average. With all these results, we cautiously conclude that establishing an investment strategy that exploits Internet search volume over a specified word set needs more conscious approach.

• Journal of Information Processing Systems
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• 제17권3호
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• pp.489-504
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• 2021

By distributing computing tasks among devices at the edge of networks, edge computing uses virtualization, distributed computing and parallel computing technologies to enable users dynamically obtain computing power, storage space and other services as needed. Applying edge computing architectures to Internet of Vehicles can effectively alleviate the contradiction among the large amount of computing, low delayed vehicle applications, and the limited and uneven resource distribution of vehicles. In this paper, a predictive offloading strategy based on the MEC load state is proposed, which not only considers reducing the delay of calculation results by the RSU multi-hop backhaul, but also reduces the queuing time of tasks at MEC servers. Firstly, the delay factor and the energy consumption factor are introduced according to the characteristics of tasks, and the cost of local execution and offloading to MEC servers for execution are defined. Then, from the perspective of vehicles, the delay preference factor and the energy consumption preference factor are introduced to define the cost of executing a computing task for another computing task. Furthermore, a mathematical optimization model for minimizing the power overhead is constructed with the constraints of time delay and power consumption. Additionally, the simulated annealing algorithm is utilized to solve the optimization model. The simulation results show that this strategy can effectively reduce the system power consumption by shortening the task execution delay. Finally, we can choose whether to offload computing tasks to MEC server for execution according to the size of two costs. This strategy not only meets the requirements of time delay and energy consumption, but also ensures the lowest cost.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1317-1341
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• 2021

Nowadays, the Internet of Things (IoT) is adopted to enable effective and smooth communication among different networks. In some specific application, the Wireless Sensor Networks (WSN) are used in IoT to gather peculiar data without the interaction of human. The WSNs are self-organizing in nature, so it mostly prefer multi-hop data forwarding. Thus to achieve better communication, a cross-layer routing strategy is preferred. In the cross-layer routing strategy, the routing processed through three layers such as transport, data link, and physical layer. Even though effective communication achieved via a cross-layer routing strategy, energy is another constraint in WSN assisted IoT. Cluster-based communication is one of the most used strategies for effectively preserving energy in WSN routing. This paper proposes a Bio-inspired cross-layer routing (BiHCLR) protocol to achieve effective and energy preserving routing in WSN assisted IoT. Initially, the deployed sensor nodes are arranged in the form of a grid as per the grid-based routing strategy. Then to enable energy preservation in BiHCLR, the fuzzy logic approach is executed to select the Cluster Head (CH) for every cell of the grid. Then a hybrid bio-inspired algorithm is used to select the routing path. The hybrid algorithm combines moth search and Salp Swarm optimization techniques. The performance of the proposed BiHCLR is evaluated based on the Quality of Service (QoS) analysis in terms of Packet loss, error bit rate, transmission delay, lifetime of network, buffer occupancy and throughput. Then these performances are validated based on comparison with conventional routing strategies like Fuzzy-rule-based Energy Efficient Clustering and Immune-Inspired Routing (FEEC-IIR), Neuro-Fuzzy- Emperor Penguin Optimization (NF-EPO), Fuzzy Reinforcement Learning-based Data Gathering (FRLDG) and Hierarchical Energy Efficient Data gathering (HEED). Ultimately the performance of the proposed BiHCLR outperforms all other conventional techniques.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권1호
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• pp.35-57
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• 2021

Fog computing aims to provide the solution of bandwidth, network latency and energy consumption problems of cloud computing. Likewise, management of data generated by healthcare IoT devices is one of the significant applications of fog computing. Huge amount of data is being generated by healthcare IoT devices and such types of data is required to be managed efficiently, with low latency, without failure, and with minimum energy consumption and low cost. Failures of task or node can cause more latency, maximum energy consumption and high cost. Thus, a failure free, cost efficient, and energy aware management and scheduling scheme for data generated by healthcare IoT devices not only improves the performance of the system but also saves the precious lives of patients because of due to minimum latency and provision of fault tolerance. Therefore, to address all such challenges with regard to data management and fault tolerance, we have presented a Fault Tolerant Data management (FTDM) scheme for healthcare IoT in fog computing. In FTDM, the data generated by healthcare IoT devices is efficiently organized and managed through well-defined components and steps. A two way fault-tolerant mechanism i.e., task-based fault-tolerance and node-based fault-tolerance, is provided in FTDM through which failure of tasks and nodes are managed. The paper considers energy consumption, execution cost, network usage, latency, and execution time as performance evaluation parameters. The simulation results show significantly improvements which are performed using iFogSim. Further, the simulation results show that the proposed FTDM strategy reduces energy consumption 3.97%, execution cost 5.09%, network usage 25.88%, latency 44.15% and execution time 48.89% as compared with existing Greedy Knapsack Scheduling (GKS) strategy. Moreover, it is worthwhile to mention that sometimes the patients are required to be treated remotely due to non-availability of facilities or due to some infectious diseases such as COVID-19. Thus, in such circumstances, the proposed strategy is significantly efficient.

• Journal of Information Technology Applications and Management
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• 제16권3호
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• pp.45-58
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• 2009

This paper is an empirical study especially to understand recent Chinese internet banking users' behavior and intentions through the process quality, outcome quality, customer satisfaction, reuse and word of mouth on internet banking service. The results of this study are as follows. First, percieved process quality of internet banking service affects the outcome quality, and both quality have a direct relation to customer satisfaction. It is found that Chinese internet users perceive a difference between process quality and outcome quality of internet banking service. And the reuse of the internet banking is decided by customer satisfaction as well as the word of mouth of the internet banking. For successful internet banking business in China, internet marketers should recognize that the service quality consists of the process quality and the outcome quality, and they should organize a new campaign that takes this information into consideration. And considering the process quality effect, they should pay attention to service process as well as the direct merit of services.. And if an internet banking service properly meets customer demands, internet users would constantly use internet services and would share good experiences with their neighbors. Therefore the result of our study will be of working-level help for financial company in China.

• 패션정보와 기술
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• 제2권
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• pp.92-95
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• 2005

• International journal of advanced smart convergence
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• 제9권1호
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• pp.121-131
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• 2020

We study empirically analyzes the relationship between the leadership styles and management strategies of executives perceived by members of small and medium venture companies through organizational performance through SPSS 24.0. The empirical results are as follows. First, the hypothesis that the strategic leadership of the one-level management team had a significant influence on the management strategy showed that strategic leadership (strategic direction, strategic control, maintaining effective organizational culture, ethical management, human resource development, competency development) The relationship between positive cost, strategy of differentiation, and strategy of concentration was positive. Second, the hypothesis 2 management strategy (cost advantage strategy, differentiation strategy, centralization strategy) was statistically significant for both organizational performance (financial performance and non-financial performance). Therefore, management strategy implemented by management acts as a factor to improve organizational performance. Therefore, the execution ability of management strategy should be strengthened. Third, hypothesis 3 (Strategic Direction, Strategic Control, Maintaining Effective Organizational Culture, Ethical Management, Human Resource Development, Competency Development) could be identified as an important role factor for financial and non-financial performance. The organizational performance of SMEs has been a key factor in the strategic leadership and management strategy implemented by management. Therefore, the establishment and implementation of various practical measures to upgrade this were continuously required.

• 지식경영연구
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• 제9권3호
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• pp.59-76
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• 2008

Due to rapid increase in number of Internet users, the volume of domestic Internet shopping is expanding dramatically. Although the Internet shopping mall business is steadily growing, it has structural weakness, and in general, the business does not generate profit. In this context, this research identifies characteristics of the Internet shopping non-adopters, and suggests strategies to strengthen competitiveness of domestic Internet shopping malls and to create a new demand. Analysis of MCR data in 2007 showed that out of 4,298 respondents, 2,206 people adopted Internet shopping (51.3%). and 2,092 did not (48.7%). The survey measured 28 items regarding a consumption pattern and a lifestyle of the Internet users, and the analysis result showed that the pattern can be categorized in seven groups. Based on the analysis, the research suggests that the domestic Internet shopping malls adopt strategies to increase consumers' access frequency to tile Internet service, provide high-end goods, diversify transaction methods, make online shopping more convenient, cater to diversified consumer demands based on demographic data, provide price comparison more Internet shopping mails, and provide sufficient and useful information to consumers.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 2000년도 추계학술대회 E-Business와 정보보안
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• pp.289-296
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• 2000

The utilization of Internet, which started only at the level of advertisement, has been gradually expanding its application areas as the trial commercial transaction becomes successful, the password-coding technology which removes the risks on the cyber transaction develops, the electronic money appears and other various related technologies progress. Following this trend the securities industry has been experiencing changes along with efforts to use it commercially. This study is to analyze the work of cyber securities companies on the basis of the theoretical background through preceding studies and literature and also analyze the common and different reasons for superiority-securing strategy in competition along with problems and their reasons. And also the objective of this study is to offer new superiority-securing strategy in competition and problem-solving strategy.

• Journal of Information Technology Applications and Management
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• 제14권1호
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• pp.75-97
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• 2007

Recently, the growth of the Internet shopping malls around the world has been increasingly accelerated based on the great advances of IT. Nevertheless, in China the Internet shopping malls have not rewed up relatively. Therefore, this paper has a purpose to discover the factors influencing the vigor of the shopping malls in China and mechanisms on interrelationships among the factors, focusing on customers' trust. To analyze the Chinese Internet shopping mall market from a wider perspective, our research model includes the antecedents from the aspects of shopping mall quality, customer characteristics, environmental features through reorganizing comprehensively various factors considered in the previous studies, and uses customer trust as an intermediate factor and purchasing intention as a dependent factor. It is expected that the implications of this study can help Chinese government agencies related to Internet shopping malls and managers for them make decisions on their policies and strategies effectively.