• 경영과학
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• 제21권2호
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• pp.27-42
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• 2004

Assimilation is defined as the extent to which the use of a technology diffuses across organizational work processes and becomes routinized in the activities associated with those processes. Assimilation is an important construct in the casual chain of influence from the organizational adoption of an information technology to the evidence of its impacts on business performance. Given a wide range of experiences with the effective assimilation of Web technologies. there is a need to discover how firms can institutionally encourage the managerial activities that will result in greater levels of technology assimilation. This study analyzes or shows which organizational and strategical factors like management belief. management participation. strategic investment rationale and coordination mechanism have impact on the assimilation of web technologies. Moreover. this research is tried under the different types of firms. manufacturing and service firms. The result shows that the management belief among the determinants had a significant effect on the assimilation of web technology. However. the result would be generalized with the inclusion of the psychological factors to the current model.

• Asia pacific journal of information systems
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• 제16권3호
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• pp.95-116
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• 2006

Although the study of post-adoption has increased in recent years, few studies have focused on the moderating effect of uncertainty avoidance on the relationship between post-expectation and behavior. The purpose of this study is to examine the moderating effect of uncertainty avoidance in the mobile Internet domains. This study proposed a post-adoption model based on prior continuance model. This theoretical model was verified empirically by conducting web surveys and multi-group analysis. Based on the survey data, we classified users into those with high uncertainty avoidance and those with low uncertainty avoidance. The results indicate that post expectations have significant impacts on satisfaction and continuance intention. The results also show that the impacts of intrinsic motivational factors of mobile Internet services on satisfaction and continuance intention are stronger for users with high uncertainty avoidance. On the other hand, the impacts of extrinsic motivational factors on satisfaction and continuance intention are stronger for users with low uncertainty avoidance, with a few exceptions. This paper ends with theoretical and managerial implications of the study results, as well as limitations and future research directions.

• International Journal of Contents
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• 제11권3호
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• pp.24-33
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• 2015

Against the backdrop of Habermas' theory of communicative action, we empirically analyzed the level of interactivity and narratives offered in nation-states' ministry of foreign affairs Web sites. A multiple regression analysis was performed in an attempt to identify factors affecting the level of interactivity in such Web sites. Findings revealed that the level of economic development is the sole significant factor in regards to the level of interactivity. Further, self-interested, goal-directed, and strategic purposes behind the allegedly transparent, engaging, and interactive public diplomacy were evidenced through a critical analysis of the objectives, key issues, and target publics addressed and highlighted in the public diplomacy narratives on the Web. The results suggested a possible digital divide in the interactive adoption of Web public diplomacy as well as strategic motives and interests embedded in the public diplomacy communication on the Web. This study helps increase our understanding of the paradox of public diplomacy in the digital age.

• 한국정보시스템학회지:정보시스템연구
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• 제14권1호
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• pp.149-169
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• 2005

The purpose of this study is to investigate as individuals how and why to accept web storage service. Using the Technology Adoption Model2 (TAM2) as methodological framework, this research tries to experiment an empirical background on the acceptance of behavioral changes of an individual sa to information technological advances. The findings of this study are different from TAM2 in terms of job relevance and output quality. However, according to other elements of TAM2 such as result demonstrability, subjective norm, image, this srudy also confirms positive relationships toward technological acceptance. Especially, subjective norms shows the strongest influential factors when adopting technological changes.

• 한국시뮬레이션학회논문지
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• 제9권4호
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• pp.25-40
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• 2000

The cost of simulation modeling, the expertise required, and the pains of starting a new each time are impediments to more wide spread adoption of simulation technology. In addition, one of the most critical problems in the field of computer simulation today is the lack of published models and physical objects within the World Wide Web (WWW) allowing such distribution. From the viewpoint of WWW as distributed model repositories, it can be assumed that very many simulation models exist on the web. This paper is based on the premise that WWW is a distributed repository. Design Pattern, web-oriented technology like Java and CORBA, which are especially to cope with distributed objects, are introduced and discussed in detail for integration of simulation model. In this paper an architecture of model integration is proposed, which presents the whole procedure of model integration and how the Internet technologies are connected in. The central focus of this research is on the technical realization of integrating simulation models as distributed objects

• 정보관리학회지
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• 제21권2호
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• pp.211-233
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• 2004

웹은 지금까지 연구되어온 전통적인 정보검색 시스템과는 차별되는 새로운 정보환경이므로 웹상에서 발생하는 이용자와 정보검색 시스템 간의 상호작용에 대한 이해를 위해 새로운 관점에서의 연구가 충분히 이루어져야 하며 이러한 연구를 뒷받침해줄 웹 기반 정보탐색 패러다임이 정착될 필요가 있다. 이러한 맥락에서 본 연구는 웹 정보탐색행위를 연구한 문헌에서 제시된 이론적 모형들을 검토하고 비교 분석하였다. Wang, Hawk, Tenopir, Hsieh-Yee, Choo, Detlor, Turnbul, Chun과 Cooper, Rieh, Spink의 연구에서 제시된 모형들이 논의되었다. 분석 결과, 웹 정보탐색 모형은 크게 상호작용 모형, 정보탐색행위 모형, 평가 모형으로 구분되며, 전통적인 정보탐색과정 모형에 비해 복합요인들의 상호작용과 정보탐색행위의 비선형적 관점이 강조되었다는 특징을 갖는다.

• 경영과학
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• 제28권3호
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• pp.113-124
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• 2011

Today, change in the information technology field is very fast, the innovative technology or product to be released for the other sectors tend more frequent. In this situation, most of potential users should think carefully about the adoption of innovative technology such as Web2.0. On the other hand, the adoption or acceptance of innovative technology has the paradox of technology. In order to verify the acceptance factors of innovative technology, we are proposed the model based on the DOI and MIR. Conceptually, we examine the four independent variables such as relative benefit, compatibility, complexity, risk that are divided into two parts as positive and negative, a moderating variable effect on independent variables that is the social influence, and their impacts on the acceptance of new technology. The questionnaire which consists of 100 questions was used to analyze the result to IT suppliers and customers in public sector. Finally, our research model was tested in an empirical study, which confirmed all of our hypotheses.

• Journal of Information Science Theory and Practice
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• 제9권1호
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• pp.54-67
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• 2021

This paper presents the ISRI (Information Systems Research Indicators) Web tool, publicly and freely available at isri.sciencesphere.org. Targeting Information Systems (IS) researchers, it compiles and organizes IS adoption and use theories/models, constructs, and indicators (measuring variables) available in the scientific literature. Aiming to support the IS theory development process, the purpose of ISRI is to gather and systematize information on research indicators to help researchers and practitioners' work. The tool currently covers eleven theories/models: DeLone and McLean's IS Success Model (D&M ISS); Diffusion of Innovations Theory (DOI); Motivational Model (MM); Social Cognitive Theory (SCT); Task-Technology Fit (TTF); Technology Acceptance Model (TAM); Technology-Organization-Environment Framework (TOE); Theory of Planned Behavior (TPB); Decomposed Theory of Planned Behavior (DTPB); Theory of Reasoned Action (TRA); and Unified Theory of Acceptance and Use of Technology (UTAUT). It also includes currently over 400 constructs, nearly 2,500 indicators, and about 60 application contexts related to the models. For the creation of the tool's database, nearly 580 references were used.

• 경영과정보연구
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• 제32권5호
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• pp.19-43
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• 2013

전통적으로 새로운 기술에 대한 사용과 확산은 수용적 관점에서 많은 연구자들에게 관심거리였으며 신기술 수용후의 사용행동에 대한 설명을 위해 사용-확산(use-diffusion) 패러다임이 제시되었다. 본 연구는 새로운 마케팅 도구로서의 의료 웹사이트와 어플리케이션에 대한 소비자들의 사용유형과 지속적 사용의도를 파악하기 위해 사용확산모형을 바탕으로 의료정보의 품질, 의료 웹사이트와 어플리케이션의 사용성, 개인의 혁신성, 주관적 규범 등 사용량과 사용다양성의 선행변수로 보았다. 연구결과 주관적 규범이 의료 웹사이트나 어플리케이션의 사용량에 미치는 영향을 제외하고 모든 선행변수들이 사용다양성과 사용량에 영향을 미치는 것으로 나타났다. 이 사용량과 사용다양성의 사용유형은 의료 웹사이트와 어플리케이션이라는 새로운 의료 온라인마케팅 도구에 대한 지속적 사용과 유의한 연관성이있음을 알 수 있었다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.145-145
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• 2022

Availability of abundant water resources data in developing countries is a great concern that has hindered the adoption of deep learning techniques (DL) for disaster prevention and mitigation. On the contrary, over the last two decades, a sizeable amount of DL publication in disaster management emanated from developed countries with efficient data management systems. To understand the current state of DL adoption for solving water-related disaster management in developing countries, an extensive bibliometric review coupled with a theory-based analysis of related research documents is conducted from 2003 - 2022 using Web of Science, Scopus, VOSviewer software and PRISMA model. Results show that four major disasters - pluvial / fluvial flooding, land subsidence, drought and snow avalanche are the most prevalent. Also, recurrent flash floods and landslides caused by irregular rainfall pattern, abundant freshwater and mountainous terrains made India the only developing country with an impressive DL adoption rate of 50% publication count, thereby setting the pace for other developing countries. Further analysis indicates that economically-disadvantaged countries will experience a delay in DL implementation based on their Human Development Index (HDI) because DL implementation is capital-intensive. COVID-19 among other factors is identified as a driver of DL. Although, the Long Short Term Model (LSTM) model is the most frequently used, but optimal model performance is not limited to a certain model. Each DL model performs based on defined modelling objectives. Furthermore, effect of input data size shows no clear relationship with model performance while final model deployment in solving disaster problems in real-life scenarios is lacking. Therefore, data augmentation and transfer learning are recommended to solve data management problems. Intensive research, training, innovation, deployment using cheap web-based servers, APIs and nature-based solutions are encouraged to enhance disaster preparedness.