• Asian Journal of Innovation and Policy
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• v.7 no.2
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• pp.235-286
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• 2018

The aim of paper is to develop an alternative framework for the study of technological innovation systems. In contrast with conventional literature, this analytical framework is designed for entrepreneurs, i.e. actors, at the micro level rather than policy-makers at the meso or macro level. Herein, the entrepreneurial innovation system is conceptually refined by synthesizing knowledge regarding technological innovation and innovation systems. Drawing upon the intrinsic technological identity essential for innovation, the entrepreneurial innovation system is shown to involve three core changes in terms of technology, organization and market, and their couplings within its internal boundary over time. This analytical framework also takes into account the fact that the innovation system is influenced by and copes with the external environment during its evolution. Moreover, the framework of the entrepreneurial innovation system considers the recent trend of sustainable development. The technical and socio-economic characteristics of a nuclear powersystem are studied empirically to articulate an analytical framework that should be very useful for technological innovation in other energy systems by reflecting their unique features.

• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.386-399
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• 2014

Following the heightened facilitation of information system in the education field, educational institutions encounter frequent information security infringement accidents. However there is insufficient education for persons in charge of information security duties in educational institutions. This study aims to analyze differences of knowledge and skills required for information security professionals in educational institutions by institution type, service area and duty. Based on the results of multidimensional scaling on survey data, this study presents the information security education framework for educational institutions.

• International Journal of Knowledge Content Development & Technology
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• v.8 no.3
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• pp.5-28
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• 2018

Socialization of doctoral students refers to the process through which they acquire various types of information about their work, department, university, and discipline for their future careers. This study aims to investigate information behaviors, with emphasis on identifying types of information exchanged in mentoring between faculty advisors and their doctoral students in library and information science (LIS). As a first step to developing a content framework for LIS doctoral mentoring, the author interviewed ten LIS doctoral students from nine U.S. universities. Based on data from these interviews, the author identified sixteen types of information exchanged: language, history, coursework, research, skills, teaching, networking, structure, politics, goals, strategies, values, norms/tradition, rules/policies, benefits, and personal life. In comparison with a content framework used, four dimensions were newly added. In addition to the identification of content dimensions, the author observed four meaningful contextual levels to which the content types can be applied: work, department/school, university, and discipline. The qualitative data also showed that interpersonal factors of advisees/advisors and contextual factors might relate to information exchange in doctoral mentoring. In a following paper, the author will present the results of a follow-up survey that tests and generalizes the findings of this study.

• The Journal of Society for e-Business Studies
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• v.16 no.2
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• pp.143-158
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• 2011

This study suggests a framework which extracts features of collective intelligence from social Q&A community sites and takes advantage of those features upon vertical search for domain specific knowledge or information retrieval. One source of collective intelligence on the internet is the question and answer(Q&A) data available from many Q&A sites. Vertical search is focused on searching special areas or specific domains. This paper proposes a framework for extending the relevant terms by using Q&A information connected with query that the user wants to retrieve, and then applies them to specific domain field that requires professional and detailed knowledge.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.5
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• pp.1717-1732
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• 2015

The widespread use of location-based services (LBSs), which allows untrusted service provider to collect large number of user request records, leads to serious privacy concerns. In response to these issues, a number of LBS privacy protection mechanisms (LPPMs) have been recently proposed. However, the evaluation of these LPPMs usually disregards the background knowledge that the adversary may possess about users' contextual information, which runs the risk of wrongly evaluating users' query privacy. In this paper, we address these issues by proposing a generic formal quantification framework,which comprehensively contemplate the various elements that influence the query privacy of users and explicitly states the knowledge that an adversary might have in the context of query privacy. Moreover, a way to model the adversary's attack on query privacy is proposed, which allows us to show the insufficiency of the existing query privacy metrics, e.g., k-anonymity. Thus we propose two new metrics: entropy anonymity and mutual information anonymity. Lastly, we run a set of experiments on datasets generated by network based generator of moving objects proposed by Thomas Brinkhoff. The results show the effectiveness and efficient of our framework to measure the LPPM.

• Knowledge Management Research
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• v.22 no.1
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• pp.105-120
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• 2021

Recently, there has been a dramatic change in real estate markets with the development of information technology. The word, Proptech, is defined as the real estate transaction innovation motivated by various types of information technology including artificial intelligence, sensing technology and big data. The objective of this study is to provide a value-creation framework for Proptech business based on the understanding of how and what types of values are created and shared, which gives organization to develop strategies and business models. And a new classification scheme of Proptech business is also suggested based on the recognition of created values along the development of Proptech business. Then, the proposed matrix is applied to derive the business value such as intangibility value, relational value and enhancement value with the case analysis on the each components of Proptech business.

• Journal of Information Technology Services
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• v.10 no.4
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• pp.295-307
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• 2011

The purpose of this research is to find a better knowledge service R&D management process. There are four basic characteristics in service : intangibility, inseparability, inconsistency, and no inventory. These intrinsic characteristics require us to change the traditional manufacturing sector based R&D management process. It is necessary to develop an effective knowledge service R&D management model to improve the competitiveness of the service industry and Korean economy. A model case knowledge service R&D has been performed to find a better R&D management model. The whole cycle of R&D process, such as planning, selection, performing, and evaluation has been reviewed by real experience. Several important aspects of R&D process are compared between manufacturing R&D and service R&D. A knowledge service R&D management framework has been suggested. The results of this research can be used for building a better service R&D management process.

• The Journal of Information Systems
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• v.19 no.4
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• pp.167-181
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• 2010

Although This study was designed to evaluate internet communities based on knowledge creation and learning. To do so, we created and tested our research model, by using selected 20 different knowledge communities. Using the K-Means Clustering techniques, we found different characteristics and evaluated these characteristics by the criterion. The results of discriminant analysis suggested 4 different models such as 'Search Engine,' 'Open Communities,' 'Specialty Communities,' and 'Activity Communities.' The results of this study indicated that it can cover some reasons for development process of knowledge communities and that it can also create a strategic framework for practical use of knowledge communities.

• Proceedings of the Technology Innovation Conference
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• 2003.02a
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• pp.27-40
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• 2003

Though it has been recognized that the accumulation of technological knowledge has been the core competency to reinforce the competitiveness of individual firms and to raise the innovation capability of social and economic systems, only single or fragmentary variables, such as R&D expenditure, R&D stock, the number of researchers and the number of R&D employee have been adopted to measure the amount of technological knowledge. In this research, we use nine conventional technological knowledge measures under the conceptual structure of input-output framework to technological knowledge. Applying correlation and factor analysis, we examine the relationships among the nine proxy measures quantitatively and suggest the new approach for the calculation of technological knowledge index as a aggregated measure.

• International Journal of Knowledge Content Development & Technology
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• v.4 no.2
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• pp.67-95
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• 2014

Knowledge Management (KM) is a collaborative and integrated approach adopted at various levels to ensure that an organization's knowledge assets are best utilized to increase organizational performance. While KM has been adopted in a large number of sectors and organizations, colleges and universities, and the higher education sector in general, is yet to take full advantage of the possibilities offered by KM. Also, while past research has sought to highlight the importance of implementing KM in higher education, there is a lack of a single, clear template for KM implementation that universities leaders and administrators can adopt. The contribution of the paper is a practical, actionable, step-by-step plan, as well as a diagrammatic, theoretical framework for initiating KM successfully in colleges and universities.