• Journal of Korean Society for Quality Management
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• v.32 no.2
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• pp.93-108
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• 2004

The purpose of this research is to summarize the methodological issues in internet survey and to suggest personalized internet survey system using data mining technique for enhancing the survey quality of internet survey as well as utilizing the benefit of interactive multimedia factors of internet survey. The data mining technique used in this paper is Case Based Reasoning for adopting individual design preference affecting survey quality. For achieving the research purpose, two surveys, pre & post survey, were performed. Pre survey was done for implementing CBR database to find individual index affecting survey quality and post survey was used for measuring the peformance of personalized internet survey system. The result shows that the survey quality of personalized web survey system is better than generalized web survey system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3182-3202
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• 2015

Flexibly expanding the storage capacity required to process a large amount of rapidly increasing unstructured log data is difficult in a conventional computing environment. In addition, implementing a log processing system providing features that categorize and analyze unstructured log data is extremely difficult. To overcome such limitations, we propose and design a MongoDB-based unstructured log processing system (MdbULPS) for collecting, categorizing, and analyzing log data generated from banks. The proposed system includes a Hadoop-based analysis module for reliable parallel-distributed processing of massive log data. Furthermore, because the Hadoop distributed file system (HDFS) stores data by generating replicas of collected log data in block units, the proposed system offers automatic system recovery against system failures and data loss. Finally, by establishing a distributed database using the NoSQL-based MongoDB, the proposed system provides methods of effectively processing unstructured log data. To evaluate the proposed system, we conducted three different performance tests on a local test bed including twelve nodes: comparing our system with a MySQL-based approach, comparing it with an Hbase-based approach, and changing the chunk size option. From the experiments, we found that our system showed better performance in processing unstructured log data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.9
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• pp.3151-3168
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• 2021

Internet of Things (IoT) connects several objects with embedded sensors and they are capable of exchanging information between devices to create a smart environment. IoT smart devices have limited resources, such as batteries, computing power, and bandwidth, but comprehensive sensing causes severe energy restrictions, lowering data quality. The main objective of the proposal is to build a hybrid protocol which provides high data quality and reduced energy consumption in IoT sensor network. The hybrid protocol gives a flexible and complete solution for sensor selection problem. It selects a subset of active sensor nodes in the network which will increase the data quality and optimize the energy consumption. Since the unused sensor nodes switch off during the sensing phase, the energy consumption is greatly reduced. The hybrid protocol uses Dijkstra's algorithm for determining the shortest path for sensing data and Ant colony inspired variable path selection algorithm for selecting active nodes in the network. The missing data due to inactive sensor nodes is reconstructed using enhanced belief propagation algorithm. The proposed hybrid method is evaluated using real sensor data and the demonstrated results show significant improvement in energy consumption, data utility and data reconstruction rate compared to other existing methods.

• Asia pacific journal of information systems
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• v.12 no.3
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• pp.89-113
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• 2002

As Mobile Internet users grow rapidly, Mobile Internet Companies will be in a fierce race to catch a new customer. In this situation, companies want to identify of what factors make peoples use Mobile Internet in order to develop the effective Mobile Internet services and to supply the higher service quality. However, prior researches on Mobile Internet focused on technical area such as higher data delivery, efficient compression of images, so they do not have given companies beneficial materials for making fascinating Mobile Internet service. To offer the service development materials, this research investigated important factors to use Mobile Internet from the viewpoint of customer. Moreover, the study was progressed how much these factors influenced Mobile Internet actual usage. After being surveyed service adopting model and significant factors in Marketing and in MIS(Management Information System), this study was suggested Mobile Internet Adopting Model reflected in Mobile Internet characteristics. To collect the effective data, Internet survey had been done for two weeks. The respondents were identified if they were real Mobile Internet users and how much they had used Mobile Internet for a month. The results were that important factors of Mobile Internet usage were Usefulness, Usability, System Quality and Instant Connectivity. Perceived Value of Mobile Internet influenced Mobile Internet Behavioral Intention significantly and Behavioral Intention had a significant effect on Mobile Intent usage by results. This paper concludes with discussion of these results and their implications for researcher and Mobile Internet company managers.

• Asia-Pacific Journal of Business
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• v.6 no.1
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• pp.27-43
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• 2015

The objective of the present study is to identify the security factors that influence customer trust towards intention to continue using Internet banking in Malaysia. The participants are individual Internet banking users in Peninsular Malaysia. Data was collected through self-administered questionnaires distributed using the drop-off and pick-up (DOPU) technique to bank branch managers who then passed the questionnaires to their customers. A total of 413 respondents completed the questionnaires. The SPSS statistical analysis software package and Partial Least Squares statistical method were used for data analysis and hypothesis testing. The results show that authentication, confidentiality, data integrity and non-repudiation are significant factors that influence customer trust towards intention to continue using Internet banking. Trust plays a critical role in influencing the intention to continue using Internet banking in Malaysia while perceived privacy does not. An understanding of the factors identified in this study will enable Internet banking providers to effectively and efficiently enhance the security of services and thereby promote continued usage of Internet banking among customers. The findings of this study are thus expected to be of great use to Internet banking providers as improvements in Internet banking security will increase business in the long run.

• Journal of Agricultural Extension & Community Development
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• v.7 no.2
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• pp.307-320
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• 2000

Agricultural extension services in Korea need to build new extension system to cope with the digital age and especially with shortage of extension educators which has been originated from the changing status from central to local government. The new trends including development of multi-media, wide-spreading of internet, and advent of internet broadcasting are offering the opportunities for new agricultural extension service. Utilization of agricultural internet broadcasting could be a new alternative for enhancing the efficiency of agricultural extension services. Agricultural internet broadcasting could support decision making of farmers by forwarding unique agricultural data which have been collected, compiled and processed by the Rural Development Administration. Farmers will be able to search useful agricultural data through agricultural internet broadcasting for more efficient farm management and marketing farm products. Agricultural internet broadcasting could utilize more prompt and abundant agricultural technology and management data compiled by the Rural Development Administration, and through this process, agricultural internet broadcasting could compensate the shortage of extension manpower. Through feedback process of agricultural internet broadcasting. farmers will be able to communicate more efficiently with extension educators to increase agricultural production and income. Agricultural Internet broadcasting could be an alternative to prevent farmers from being shunned in the information-based society.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.227-232
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• 2014

Recent development and generalization of Internet technology contributes to the large scale of commerce and capital followed by appearance and growth of large portal sites. As a result, the personal data on the Internet not deleted for a long period of time is a new risk factor, for example, the invasion of people's privacy. In particular, exposing personal data like witch-hunts is a critical issue so that the person concerned cannot carry on with normal life. This study suggests the necessity of the right to request personal data deletion related to a person concerned on Internet sites, a method of introducing the right in Korea, and a method of improving the application.

• Survey Research
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• v.4 no.1
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• pp.49-71
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• 2003

The main purpose of this study was to propose new approaches for brand valuation using internet data. Data, which are necessary to evaluate the brand power, were consisted of the brand stock price data and the surveyed data through the internet. In this paper we examined the applicability of the internet data using correlation analysis between the brand stock price and the real stock price. We proposed new methods for relative evaluation of the brand power combining the brand stock price data with the surveyed data.

• Journal of Fashion Business
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• v.9 no.3
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• pp.134-149
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• 2005

Although Internet retailing is becoming a viable channel for apparel retailing, consumers are still reluctant to use Internet for apparel purchasing because at their concerns at Internet security and the difficulties at virtual shopping in unfamiliar shopping environment. The purpose at this study is to examine the nature at perceived risk associated with Internet apparel shopping and risk-reduction strategies used by Internet apparel shoppers. The data were collected via an online survey by a online research company. A total at 4,254 Internet users participated in this survey. Among these Internet users, 1,146 respondents had previous shopping experience in Internet shopping. Within this group, 195 were Internet apparel information seekers, and 589 were Internet apparel purchasers. Descriptive statistics, analysis of variance, and t-test were used to analyze the data. The perceived risks and risk-reduction strategies used by Internet apparel no-interest shoppers, Internet apparel information seekers (browsers), moderate Internet apparel purchasers, heavy Internet apparel purchasers were examined and compared. The results indicated that these tour groups were significantly different in apparel related risk, performance risk, and privacy risk. Internet purchasers tend to perceive more apparel-related, performance, and privacy risks than others. The results also indicated that these tour groups were significantly different in their opinions of risk-reduction strategies.

• The Research Journal of the Costume Culture
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• v.14 no.6
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• pp.1027-1041
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• 2006

The purpose of this study was to identify the differences of internet shopping attitude, shopping behavior, and shopping satisfaction according to purchasing frequency of internet shoppers for children's clothing. Data were collected from 170 female internet users who had purchasing experiences of children's clothing. For data analysis, factor analysis, one-way ANOVA, Duncan test, cross tabulation, regression analysis, t-test, frequency and multi- response analysis were conducted. The results are as follows: The internet shoppers for children's clothing were classified by purchasing frequency. Factors of internet shopping attitude were convenience, reliability, and safety. Significant differences were found on internet usages, internet attitudes, and shopping behaviors between two groups. Heavy purchasers used internet longer, had more positive attitude toward convenience and safety, and paid more money than light purchasers. Significant differences were found on internet attitudes according to age and internet usage. Convenience and safety factors had impact on internet shopping satisfaction.