• Title/Summary/Keyword: information usage behavior

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Relationships between Customer Value and Performance : Focusing on Family Restaurant Websites (고객 가치와 성과의 관계 : 패밀리 레스토랑 웹사이트를 중심으로)

  • Lim, Se Hun
    • Journal of Information Technology Services
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    • v.12 no.1
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    • pp.215-227
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    • 2013
  • Currently, improved quality of life has facilitated consumers' indulgence in a diverse range of cultural cuisines. Consequently, the evolvement of the food service industry has been developing itself according to the diversified needs of the consumers. In particular, a great amount of interest has been expressed in a new form of food service known as family restaurants. Family restaurant service providers have begun to provide information regarding family restaurant usage, including various foods and services, through their websites in order to yield better service to consumers. For family restaurant service providers, comprehending the consumers' purpose of using the company's websites is a crucial managerial issue and it plays an important role in the development of good marketing strategies. There exists a distinction in websites usage purposes according to the different values of consumers; the hedonic value and the utilitarian value. When consumers gain satisfaction through family restaurant websites usage, this satisfaction extends to word of mouth communication effect. In order to develop good Internet marketing strategies, this study is prepared to assist family restaurant service providers understand the relationships among customer value, usage purpose, customer satisfaction, and word of mouth communication with regards to the family restaurant websites. The results of this study provide useful implications to understand consumer behavior and to develop marketing strategies in a family restaurant websites.

A Time Series Analysis of Urban Park Behavior Using Big Data (빅데이터를 활용한 도시공원 이용행태 특성의 시계열 분석)

  • Woo, Kyung-Sook;Suh, Joo-Hwan
    • Journal of the Korean Institute of Landscape Architecture
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    • v.48 no.1
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    • pp.35-45
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    • 2020
  • This study focused on the park as a space to support the behavior of urban citizens in modern society. Modern city parks are not spaces that play a specific role but are used by many people, so their function and meaning may change depending on the user's behavior. In addition, current online data may determine the selection of parks to visit or the usage of parks. Therefore, this study analyzed the change of behavior in Yeouido Park, Yeouido Hangang Park, and Yangjae Citizen's Forest from 2000 to 2018 by utilizing a time series analysis. The analysis method used Big Data techniques such as text mining and social network analysis. The summary of the study is as follows. The usage behavior of Yeouido Park has changed over time to "Ride" (Dynamic Behavior) for the first period (I), "Take" (Information Communication Service Behavior) for the second period (II), "See" (Communicative Behavior) for the third period (III), and "Eat" (Energy Source Behavior) for the fourth period (IV). In the case of Yangjae Citizens' Forest, the usage behavior has changed over time to "Walk" (Dynamic Behavior) for the first, second, and third periods (I), (II), (III) and "Play" (Dynamic Behavior) for the fourth period (IV). Looking at the factors affecting behavior, Yeouido Park was had various factors related to sports, leisure, culture, art, and spare time compared to Yangjae Citizens' Forest. The differences in Yangjae Citizens' Forest that affected its main usage behavior were various elements of natural resources. Second, the behavior of the target areas was found to be focused on certain main behaviors over time and played a role in selecting or limiting future behaviors. These results indicate that the space and facilities of the target areas had not been utilized evenly, as various behaviors have not occurred, however, a certain main behavior has appeared in the target areas. This study has great significance in that it analyzes the usage of urban parks using Big Data techniques, and determined that urban parks are transformed into play spaces where consumption progressed beyond the role of rest and walking. The behavior occurring in modern urban parks is changing in quantity and content. Therefore, through various types of discussions based on the results of the behavior collected through Big Data, we can better understand how citizens are using city parks. This study found that the behavior associated with static behavior in both parks had a great impact on other behaviors.

Cost-Efficient Framework for Mobile Video Streaming using Multi-Path TCP

  • Lim, Yeon-sup
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.4
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    • pp.1249-1265
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    • 2022
  • Video streaming has become one of the most popular applications for mobile devices. The network bandwidth required for video streaming continues to exponentially increase as video quality increases and the user base grows. Multi-Path TCP (MPTCP), which allows devices to communicate simultaneously through multiple network interfaces, is one of the solutions for providing robust and reliable streaming of such high-definition video. However, mobile video streaming over MPTCP raises new concerns, e.g., power consumption and cellular data usage, since mobile device resources are constrained, and users prefer to minimize such costs. In this work, we propose a mobile video streaming framework over MPTCP (mDASH) to reduce the costs of energy and cellular data usage while preserving feasible streaming quality. Our evaluation results show that by utilizing knowledge about video behavior, mDASH can reduce energy consumption by up to around 20%, and cellular usage by 15% points, with minimal quality degradation.

Comparison of college students' behavior toward nutrition information communication between Korea and the US

  • Kim, Chang-Sik;Bosselman, Robert;Choi, Hyung-Min;Lee, Keum Sil;Kim, Eojina;Moon, Hyeyoung;Jang, Yoon Jung;Ham, Sunny
    • Nutrition Research and Practice
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    • v.14 no.4
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    • pp.401-411
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    • 2020
  • BACKGROUND/OBJECTIVES: The expansion of menu labeling to restaurants has created a need to study customers' behavior toward nutrition information. Therefore, the purpose of this research was to compare college students' behavior toward nutrition information communication between Korea and the US. This study consisted of three objectives: 1) to compare the frequency of usage as well as degree of trust regarding smartphone-based communication channels in the acquisition of nutrition information among college students between Korea and the US, 2) to compare knowledge-sharing behavior related to nutrition information among college students between Korea and the US, and 3) to identify the role of country in the process of knowledge-sharing behavior. SUBJECTS/METHODS: A survey was distributed via the web to college students in Korea and the US. Data were collected in the 2nd week of March 2017. Completed responses were collected from 423 Koreans and 280 Americans. Differences between Koreans and Americans were evaluated for statistical significance using a t-test. In order to verify the effects of knowledge self-efficacy and transactive memory capability on knowledge-sharing behavior related to nutrition information, a regression analysis was performed. RESULTS: Significant differences were found in the frequency of usage as well as degree of trust in communication channels related to nutrition information between Korean and American college students. While knowledge self-efficacy and tractive memory capability had positive effects on knowledge-sharing behavior related to nutrition information, country had a significant effect on the process. CONCLUSIONS: This study is the first to compare customer behavior toward nutrition information acquisition and sharing between Korea and the US. Comparative research on nutrition information revealed differences among the different countries. Therefore, this study contributes to the body of knowledge on the nutrition information research, in particular, by providing a comparison study between countries.

The Effect of Services Recovery Effort on Continuous Use Intention of Internet User -Focusing Mainly on Personal Information Security Exposur- (서비스회복노력이 인터넷이용자의 지속적 이용의도에 미치는 영향 - 개인정보유출을 중심으로 -)

  • Hong, Sang-Jin;Lee, Soo-Hyoung
    • Journal of the Korea Safety Management & Science
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    • v.12 no.2
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    • pp.89-97
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    • 2010
  • The most important concern in the internet service organizations in competitive market circumstances is to focus on formation and maintenance of continuous relationship with customers. The purpose of this study is to verify the effect of perception of the fairness - procedural fairness for recovery, interactional fairness, fairness for reward on customer's satisfaction and trust, behavior when the internet service company failed to service such as disclosure of personal information. This study aims to apply justice theories to service recovery. As a result, first, the customer's perceived justice had a significant effect on the customer satisfaction and trust in service recovery. Second, the customer's satisfaction positive effect on trust. Third, customer's satisfaction formed by service recovery had a effect on the customer's behavior such as continuous usage intention. Therefore, this study was reveal how the extent of justice perception felt by customers in the service recovery process, causes positive causation relationship which affect customer behavior intention.

Utilization of Log Data Reflecting User Information-Seeking Behavior in the Digital Library

  • Lee, Seonhee;Lee, Jee Yeon
    • Journal of Information Science Theory and Practice
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    • v.10 no.1
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    • pp.73-88
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    • 2022
  • This exploratory study aims to understand the potential of log data analysis and expand its utilization in user research methods. Transaction log data are records of electronic interactions that have occurred between users and web services, reflecting information-seeking behavior in the context of digital libraries where users interact with the service system during the search for information. Two ways were used to analyze South Korea's National Digital Science Library (NDSL) log data for three days, including 150,000 data: a log pattern analysis, and log context analysis using statistics. First, a pattern-based analysis examined the general paths of usage by logged and unlogged users. The correlation between paths was analyzed through a χ2 analysis. The subsequent log context analysis assessed 30 identified users' data using basic statistics and visualized the individual user information-seeking behavior while accessing NDSL. The visualization shows included 30 diverse paths for 30 cases. Log analysis provided insight into general and individual user information-seeking behavior. The results of log analysis can enhance the understanding of user actions. Therefore, it can be utilized as the basic data to improve the design of services and systems in the digital library to meet users' needs.

Pre-Processing of Query Logs in Web Usage Mining

  • Abdullah, Norhaiza Ya;Husin, Husna Sarirah;Ramadhani, Herny;Nadarajan, Shanmuga Vivekanada
    • Industrial Engineering and Management Systems
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    • v.11 no.1
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    • pp.82-86
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    • 2012
  • In For the past few years, query log data has been collected to find user's behavior in using the site. Many researches have studied on the usage of query logs to extract user's preference, recommend personalization, improve caching and pre-fetching of Web objects, build better adaptive user interfaces, and also to improve Web search for a search engine application. A query log contain data such as the client's IP address, time and date of request, the resources or page requested, status of request HTTP method used and the type of browser and operating system. A query log can offer valuable insight into web site usage. A proper compilation and interpretation of query log can provide a baseline of statistics that indicate the usage levels of website and can be used as tool to assist decision making in management activities. In this paper we want to discuss on the tasks performed of query logs in pre-processing of web usage mining. We will use query logs from an online newspaper company. The query logs will undergo pre-processing stage, in which the clickstream data is cleaned and partitioned into a set of user interactions which will represent the activities of each user during their visits to the site. The query logs will undergo essential task in pre-processing which are data cleaning and user identification.

Effect of Influencers' Product-Usage Videos upon Brand Attitude and Purchase Intention (인플루언서의 패션 제품 사용 영상이 브랜드 태도와 구매의도에 미치는 영향)

  • Yoon, Haeryong;Kim, Taeha;Nam, Seunghyeon
    • Journal of Information Technology Services
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    • v.18 no.5
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    • pp.1-16
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    • 2019
  • This work tries to empirically validate the effect of influencers' product-usage videos upon brand attitude and purchase intention of consumers. More specifically, we choose 3 attributes of product-usage videos of influencers such as expertise, trustworthiness, and attractiveness from our literature review. We collect 200 survey questionnaires in 2019 using Google survey forms from subjects who have watched influencers' usage videos of fashion items. Our results suggest that expertise and trustworthiness of influencers' videos positively affect brand attitude of consumers, which in turn positively influence their purchase intention. However, we have not found significant effect of attractiveness of the videos upon brand attitude. We also confirm that brand attitude positively affect purchase intention as proposed in the literature. The practical implications of this work is that firms should focus and strengthen expertise and trustworthiness of videos rather than attractiveness in order to enhance purchase intention of consumers and eventually lead to their purchase behavior.

A Study on the Adoption of Accounting Information Systems in Mandatory Environments : Using TAM and TPB (비자발적 환경의 회계정보시스템 수용에 관한 연구 : TAM과 TPB를 이용하여)

  • Chang Won-Kyung;Kim Tae-Kyun
    • Journal of Information Technology Applications and Management
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    • v.12 no.1
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    • pp.173-189
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    • 2005
  • The technology acceptance model (TAM) is a lot of cited in information technology adoption and usage researches. TAM has a base in psychological research, is parsimonious, explains usage behavior quite well, and can be operationalized with valid and reliable instruments. But TAM has been conducted primarily in volitional environments of the adoption of new technology. This paper discusses technology acceptance in accounting information systems to examine TAM with subjective norm and perceived behavioral control in mandated using environments. The results show that in mandatory environments such as accounting information systems, subjective norm is not a significant effect on the behavioral intention. Perceived usefulness and perceived behavioral control are significant the factor on the behavioral intention. The implications of finding are that perceived usefulness and perceived behavioral control play major role in technology acceptance rather than subjective norm in accounting information systems with mandatory environments.

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The Moderate Effect of the Attribute Alignability on the Relations Between Brand Attachment and Product Usage Behavior: Focus on Smartphone Users (브랜드 애착이 제품 사용 행동에 미치는 영향에 있어 속성 정렬 가능성의 조절적 역할: 스마트폰 사용자 중심으로)

  • Jo, Jae-Wook;Park, Seung-Bae
    • Journal of Convergence for Information Technology
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    • v.10 no.11
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    • pp.141-147
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    • 2020
  • This study examined the effects of brand attachment on internal modification behavior and usability expanding behavior of product. It has been found that the attribute alignable difference of product plays a moderating effect in internal modification behavior and usability expanding behavior. As a result of the study, the more brand attachment is high, the more behavior of product internal modification behavior and usability expanding behavior of product are high. In addition, consumers with high brand attachment showed greater internal modification behavior of the product when the difference of attribute alignability was high. Also, consumers with high brand attachment showed greater usability expanding behavior of the product when the difference of attribute non-alignability was high. Companies can improve brand attachment and retain loyal customers by increasing the difference of attribute alignability in consumer's product internal modification behavior. In terms of consumer's behavior of expanding product usage, we can strengthen brand attachment and can be used as a differentiated competitive advantage of products through the attribute nonalignable difference.