• Asia pacific journal of information systems
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• 제19권1호
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• pp.33-62
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• 2009

Internet computing is a disruptive IT innovation. Semantic Web can be considered as an IT innovation because the Semantic Web technology possesses the potential to reduce information overload and enable semantic integration, using capabilities such as semantics and machine-processability. How should organizations adopt the Semantic Web? What factors affect the adoption and diffusion of Semantic Web innovation? Most studies on adoption and diffusion of innovation use empirical analysis as a quantitative research methodology in the post-implementation stage. There is criticism that the positivist requiring theoretical rigor can sacrifice relevance to practice. Rapid advances in technology require studies relevant to practice. In particular, it is realistically impossible to conduct quantitative approach for factors affecting adoption of the Semantic Web because the Semantic Web is in its infancy. However, in an early stage of introduction of the Semantic Web, it is necessary to give a model and some guidelines and for adoption and diffusion of the technology innovation to practitioners and researchers. Thus, the purpose of this study is to present a model of adoption and diffusion of the Semantic Web and to offer propositions as guidelines for successful adoption through a qualitative research method including multiple case studies and in-depth interviews. The researcher conducted interviews with 15 people based on face-to face and 2 interviews by telephone and e-mail to collect data to saturate the categories. Nine interviews including 2 telephone interviews were from nine user organizations adopting the technology innovation and the others were from three supply organizations. Semi-structured interviews were used to collect data. The interviews were recorded on digital voice recorder memory and subsequently transcribed verbatim. 196 pages of transcripts were obtained from about 12 hours interviews. Triangulation of evidence was achieved by examining each organization website and various documents, such as brochures and white papers. The researcher read the transcripts several times and underlined core words, phrases, or sentences. Then, data analysis used the procedure of open coding, in which the researcher forms initial categories of information about the phenomenon being studied by segmenting information. QSR NVivo version 8.0 was used to categorize sentences including similar concepts. 47 categories derived from interview data were grouped into 21 categories from which six factors were named. Five factors affecting adoption of the Semantic Web were identified. The first factor is demand pull including requirements for improving search and integration services of the existing systems and for creating new services. Second, environmental conduciveness, reference models, uncertainty, technology maturity, potential business value, government sponsorship programs, promising prospects for technology demand, complexity and trialability affect the adoption of the Semantic Web from the perspective of technology push. Third, absorptive capacity is an important role of the adoption. Fourth, suppler's competence includes communication with and training for users, and absorptive capacity of supply organization. Fifth, over-expectance which results in the gap between user's expectation level and perceived benefits has a negative impact on the adoption of the Semantic Web. Finally, the factor including critical mass of ontology, budget. visible effects is identified as a determinant affecting routinization and infusion. The researcher suggested a model of adoption and diffusion of the Semantic Web, representing relationships between six factors and adoption/diffusion as dependent variables. Six propositions are derived from the adoption/diffusion model to offer some guidelines to practitioners and a research model to further studies. Proposition 1 : Demand pull has an influence on the adoption of the Semantic Web. Proposition 1-1 : The stronger the degree of requirements for improving existing services, the more successfully the Semantic Web is adopted. Proposition 1-2 : The stronger the degree of requirements for new services, the more successfully the Semantic Web is adopted. Proposition 2 : Technology push has an influence on the adoption of the Semantic Web. Proposition 2-1 : From the perceptive of user organizations, the technology push forces such as environmental conduciveness, reference models, potential business value, and government sponsorship programs have a positive impact on the adoption of the Semantic Web while uncertainty and lower technology maturity have a negative impact on its adoption. Proposition 2-2 : From the perceptive of suppliers, the technology push forces such as environmental conduciveness, reference models, potential business value, government sponsorship programs, and promising prospects for technology demand have a positive impact on the adoption of the Semantic Web while uncertainty, lower technology maturity, complexity and lower trialability have a negative impact on its adoption. Proposition 3 : The absorptive capacities such as organizational formal support systems, officer's or manager's competency analyzing technology characteristics, their passion or willingness, and top management support are positively associated with successful adoption of the Semantic Web innovation from the perceptive of user organizations. Proposition 4 : Supplier's competence has a positive impact on the absorptive capacities of user organizations and technology push forces. Proposition 5 : The greater the gap of expectation between users and suppliers, the later the Semantic Web is adopted. Proposition 6 : The post-adoption activities such as budget allocation, reaching critical mass, and sharing ontology to offer sustainable services are positively associated with successful routinization and infusion of the Semantic Web innovation from the perceptive of user organizations.

• 한국시조학회지:시조학논총
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• 제43권
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• pp.41-66
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• 2015

시조의 가락에 대한 연구는 대체로 운율론의 차원에서 이루어져 왔으며, 이는 3장 4음보격의 정형적인 시조의 가락을 규명한다는 측면에서 그 의의를 인정받아 왔다. 그러나 가락을 운율이나 율격보다 상위 개념으로 이해한다면, 이를 온전히 이해하기 위해서는 정형시로서 시조가 갖는 가락과 함께 서정시로서 시인 각자가 갖는 개성적인 가락, 다시 말해 비정형적인 가락을 함께 살펴볼 필요가 있어 보인다. 그리고 여기에 앙리 메쇼닉(H. Meschonnic)의 프로조디(prosodie)분석 기법이 유의미한 방법론이 될 수 있다. 이에 본고는 앙리 메쇼닉의 프로조디 분석 기법을 적용하여 시조의 가락을 기존의 운율론이 아닌 새로운 차원에서 살필 수 있는 가능성을 모색한다는 측면에서 시론(試論)격에 해당된다고 볼 수 있다. 메쇼닉이 새롭게 제안한 프로조디는 언어의 자 모음적 조직과 그것의 계열체를 지시하는 말로, 이는 전통적으로 언어의 소리와 의미를 분리하여 이분법적으로 이해해 온 관점과 전적으로 대립된다. 그에 따르면 각 자 모음 조직들은 그 자체로 의미를 가지는, 이른바 소리와 의미의 복합적인 층위를 형성하는 단위이기 때문이다. 따라서 시 텍스트 안에 불규칙적이고 비주기적으로 산포되어 존재하는 프로조디를 분석하는 작업은, 어떻게 시가 음성적 의미론적으로 통합되는지를 확인하는 방법론이라 할 수 있다. 그리고 이렇게 조직화된 음운들이 어떠한 양상으로 시의 주제와 길항하면서 존재하는지를 살피는 것이 프로조디 분석의 핵심이라 할 수 있다. 이는 곧 개별적인 시가 지닌 독특한 미적 구조를 해명하는 일이자 시인의 언어 사용의 특수성을 보여준다는 측면에서 궁극적으로 시인의 문체를 규명하는 작업과 궤를 같이 한다고 볼 수 있다. 본고에서는 본격적으로 프로조디 분석의 방법론을 시조 전반에 적용하기에 앞서 예비적으로 고산(孤山) 윤선도(尹善道)의 <오우가(五友歌)> 6수를 분석 대상으로 삼아 일단 자음계열체에 한정하여 프로조디 분석 작업을 진행하였다. 그리고 그 결과로 시 텍스트에 산포되어 있는 프로조디가 시적 대상의 이미지를 형상화하거나 시의 주제를 드러내는데 있어서 소리와 의미의 복합체로서 기여하면서 기존의 율격과는 또 다른 층위에서 가락을 형성하고 있음을 확인할 수 있었다.