• Journal of Korea Society of Digital Industry and Information Management
• /
• v.10 no.1
• /
• pp.157-167
• /
• 2014

Increasing productivity of knowledge workers is a significant issue in the 21st century referred as knowledge-based society. The core key word is behavior of knowledge transfer among members of an organization. The objective of this study is to investigate a model based on Triandis theory and Social Capital theory. This explored the antecedent factors of knowledge Transfer in ITO(Information Technology Outsourcing) Organization. Data were derived from 42 respondents working IT Cooperation in Seoul, Korea. In this paper, we introduce the research model for the knowledge transfer. In order to validate the proposed research model, social network analysis tool, UCINET, a structural equation modeling tool, SmartPLS, was utilized. The empirical result showed that, all antecedent factors (intention of knowledge sharing, anticipated reciprocal relationships, subjective norm, closeness network centrality) of knowledge transfer behavior were significant. In conclusion, findings and implications were discussed and limitations of the study and future research directions were suggested.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.31 no.1
• /
• pp.61-71
• /
• 2021

Instant messengers are a means of communication for modern people and can be used with smartphones and PCs respectively or connected with each other. Messengers, which provide various functions such as message, call, and file sharing, contain user behavior information regarded as important evidence in forensic investigation. However, it is difficult to analyze as well as acquire smartphone data because of the security of smartphones or apps. However, messenger data can be extracted through PC when the messenger is used on PC. In this paper, we obtained the credential data of Wire messenger in Windows 10, and showed that it is possible to log-in from another PC without authentication. In addition, we identified and classified major artifacts generated based on user behavior.

• Journal of the Korean Society for Library and Information Science
• /
• v.45 no.1
• /
• pp.189-210
• /
• 2011

This study aims to explore how users are tagging in order to utilize a folksonomy and whether they understand the social and interactive aspects of tagging in three different folksonomic systems, Connotea (www.connotea.org), Delicious(http://delicious.com), and CiteULike(www.citeulike.org). The study uses internet questionnaires, qualitative diary studies, and follow-up interviews to understand twelve participants' tagging activities associated with folksonomic interactions. The flow charts developed from the twelve participants showed that tagging was a quite complex process, in which each tagging activity was interconnected, and a variety of folksonomic system features were employed. Three main tagging activities involved in the tagging processes have been identified: item selection, tag assignment, and tag searching and discovery. During the tag assignment, participants would describe their tagging motivations related to various types of tags. Their perception of the usefulness of types of tags was different when their purpose was for social sharing rather than personal information management. While tagging, participants recognized the social potential of a folksonomic system and used interactive aspects of tagging via various features of the folksonomic system. It is hoped that this empirical study will provide insight into theoretical and practical issues regarding users' perceptions and use of folksonomy in accessing, sharing, and navigating internet resources.

• Journal of Internet Computing and Services
• /
• v.16 no.6
• /
• pp.109-121
• /
• 2015

The purpose of this qualitative study is to explore consumer behavioral trends, psychological characteristics and various cognitive types of Millennial Generation consumers, primarily in their 20s, who are familiar with sharing economy services based on the emerging social networking technology. Using Q methodology, this paper theoretically defines four and interprets via a social science perspective four different types of these young consumers who are skilled at state-of-the-art ICT equipment, devices or online networking services. Sharing economy services in Korea's academic and industrial services are influenced by government policy, and related research is relatively new. This study is focused on discovering unique psychographic characteristics called 'schemata' that include personal interest, preference, attitude, and opinion. On the basis of 40 Q-sorted data samples, the analysis examined 180 collected statements from meta-studies and interviews with 35 individuals born between 1997 and 1992. As a result, four consumer groups were identifies: Type 1 'Early majority', Type 2 'Laggard', Type 3 'Opinion leader', and Type 4 'Late majority'. The results of this research can be used to explore to study in greater detail the behavior and psychological aspects of Millennial General consumers'.

• Journal of the Institute of Electronics Engineers of Korea TC
• /
• v.39 no.6
• /
• pp.277-284
• /
• 2002

In this paper the authors explore the effect of bandwidth sharing to the utility of the customer for the best-effort Internet services and draw a basis for the pricing principle in Internet Protocol networks. Especially, we investigate the behavior of a customer's utility in case an arbitrary amount of additional bandwidth is allowed to each customer for the elastic traffic, which is the typical example of the non-real time Internet data traffic. After drawing the utility curve, which will be proved to follow the concave curve, we will apply it to the pricing of Internet traffic. Finally, via numerical experiments, we will illustrate the validity and implication of the proposed method.

• Journal of Intelligence and Information Systems
• /
• v.27 no.3
• /
• pp.1-27
• /
• 2021

The entire tourism industry is being hit hard by the COVID-19 as a global pandemic. Accommodation sharing services such as Airbnb, which have recently expanded due to the spread of the sharing economy, are particularly affected by the pandemic because transactions are made based on trust and communication between consumer and supplier. As the pandemic situation changes individuals' perceptions and behavior of travel, strategies for the recovery of the tourism industry have been discussed. However, since most studies present macro strategies in terms of traditional lodging providers and the government, there is a significant lack of discussion on differentiated pandemic response strategies considering the peculiarity of the sharing economy centered on peer-to-peer transactions. This study discusses the marketing strategy for individual hosts of Airbnb during COVID-19. We empirically analyze the effect of changes in listing descriptions posted by the Airbnb hosts on listing performance after COVID-19 was outbroken. We extract nine aspects described in the listing descriptions using the Attention-Based Aspect Extraction model, which is a deep learning-based aspect extraction method. We model the effect of aspect changes on listing performance after the COVID-19 by observing the frequency of each aspect appeared in the text. In addition, we compare those effects across the types of Airbnb listing. Through this, this study presents an idea for a pandemic crisis response strategy that individual service providers of accommodation sharing services can take depending on the listing type.

• Journal of the Korean Society for information Management
• /
• v.29 no.3
• /
• pp.99-122
• /
• 2012

This study analyzed scientists information behaviors when they engage in solving specific research problems in various situations throughout the entire scientific R&D lifecycle process. In-depth interviews with a total of 24 scientists were conducted in their research laboratories, the scientists' everyday workplace and the contexts of scientific research. The theoretical and methodological frameworks employed for this study were Dervin's Sense-making, Savolainen's Everyday Life Information Seeking, and Engestrom's Activity Theory. The findings of this study informed context-specific research and information behaviors of the scientists in the 14 sub stages of the five-stage of R&D lifecycle. Specifically, the study revealed the research objectives and related information behaviors (e.g., information needs, information seeking, information sources and channels, information barriers, etc.) to achieve the objectives at each sub-stage. The study results provided essential information to re-design the information services and strategies that accommodate the scientific R&D lifecycle.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.10
• /
• pp.43-48
• /
• 2016

This study is to examine how big data collects user's information and is used; the status quo of exposures of user's information, and various measures of self-control by the user. This study is also to look their ethical issues and discuss problems of privacy concerning big data. As a way for users to self-control their information, they need to check the log-in state of web portal sites and set up their account so that customized advertisement and location information cannot be tracked. When posting a blog, the value of posting should be controlled. When becoming a member of a web site, users must check the access terms before agreement and beware of chained agreements and/or membership joins in order to control the exposure of their personal information. To prevent information abuse through big data through which user's information is collected and analyzed, all users must have the right to control, block or allow personal information. For an individual to have the right to control over his information, users must understand the concept of user's information and practice ethics accompanied by newly given roles in the Internet space, which will lead to the establishment of the sound and mature information society on the Internet.

• Human Ecology Research
• /
• v.61 no.2
• /
• pp.247-261
• /
• 2023

The purpose of this study was to examine the effect of consumer consumption behavior on sustainable consumption through social media and to verify the mediating effects of social connectedness on sustainable consumption. A survey comprising 222 men and women in their 20s and 30s was conducted in which their consumption expression behavior, sustainable consumption and social connectedness were measured. The results were analyzed using SPSS Process Macro Model 4 and it was found that consumers who shared a considerable amount of personal information on their lifestyle on social media as a means of self-expression exhibited a higher level of sustainable consumption. It also became apparent that the degree of consumption expression behavior had a positive effect on social connectedness and that social connectedness had a positive impact on sustainable consumption by mediating the degree of consumption-focused self-expression on social media. Based on these results, it was confirmed that social media can serve as a mechanism to lead consumers' consumption behavior beyond providing a basis for forming a human network. Implications for the impact of social media on consumption behavior were presented, and proposals for exploring the environment in which sustainable consumption can be activated were suggested, together with ways in which new media can be utilized. The findings from this study indicate that sharing consumption behavior and having a broad range of connections on social media can create an environment in which sustainable consumption is promoted.

• Information Systems Review
• /
• v.17 no.1
• /
• pp.19-47
• /
• 2015

The purpose of this research is to represent how ICT relatedness and organization environment influence on interactions between healthcare specialist and patients, and how knowledge sharing influence on healthcare innovation, and how service innovation influence on service performance through structured research model. This research also has applied to resource based view, adaptive structuration theory, service innovation, ICT relatedness to find out performance effect on healthcare service innovation and service performance. In other words, organization structure environment and ICT relatedness are important factors to promote interaction between healthcare service providers and customers like patients each other, moreover, to share the tacit knowledge by creating in the interaction. Moreover in order to verify model fitness, this research has surveyed among healthcare specialists, technicians and other staffs. Model verification result, all hypotheses have been found to give a positive effect on the creation and significantly. Structured organizational environment and ICT association is to promote the organization's functions by influencing the behavior of the service organization and patient interaction and knowledge sharing, and suggests that the major factors influencing the innovation performance of hospitals and health care services.