• Asia Marketing Journal
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• v.8 no.3
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• pp.1-11
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• 2006

The Bass model assumes two communication channels: mass-media and word-of-mouth. In this paper, we call the mass-media Type I channel of communications. The word-of-mouth channel means interaction between non-adopters and adopters. Let us call it Type II channel of communications. In the real world, however, the non-adopters who are not aware of the innovation can be affected by communications with other non-adopters who are aware of it. Let us call it Type III channel of communications to differentiate with Type II channel. This paper analyzes the impact of Type III channel on diffusion process. The result shows that exponential growth patterns (for example, the adoption patterns of the blockbuster movies) can be observed when non-adopters are influenced by other non-adopters who aware of the innovation.

• Journal of Korea Technology Innovation Society
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• v.13 no.4
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• pp.680-699
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• 2010

In this paper, we attempted to analysis and track dynamic properties of the interdisciplinary relationship between scientific research areas in energy field using bibliometric analysis. We created network maps with SCs (subject categories) defined from $WoS^{\circledR}$ (Web of Science, Thomson Scientific ISI, Philadelphia, USA) using co-occurrence analysis method in order to identify overall disciplines directly linked with energy fields and investigate the change of interaction between SCs as a function of time. From the results of this study, thermodynamics, fuels, chemistry/chemical engineering, and electrochemistry have differentiated into more specific disciplines while the strength of interaction with energy field gradually has increased. Meanwhile, "nuclear physics" was developed to "nuclear science & technology" toward applicable target sector and also the interaction of "environmental science" with "energy generation area" among various energy disciplines recently showed the radical increase as compared with the values of 4 years ago. Finally, through combinative reviews of today's energy policy established by South Korea government, this study will give a help for keeping up with national energy agenda meeting the diverse characteristics of academic disciplines of energy field. In addition, our results support that the use of such network analysis based on bibliometric analysis to discern shifts in academic R&D strategies and target sectors.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.469-489
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• 2021

This study explores consumers' responses to socially assistive robotics by using text-mining method focusing on Companion Pets from Hasbro as it gives emotional support. We conducted text frequency analysis, LDA analysis using R programming. The key findings are 1)the most frequently used words the mimicry of living pets and the appearance of companion pets, 2)the five topics were derived from the LDA analysis and classified keywords in each topic split between positive and negative, 3)user, product, environment affect the interaction between consumer and companion pets, 4)consumers who have difficulty in cognition and physical conditions use companion pets to replace living pets. This study provides an understanding of consumer responses in companion pets and gives practical implications that may improve the efficacy of usage for consumers and understand the companion robot, which provides emotional support in COVID-19.

• Journal of Advanced Navigation Technology
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• v.15 no.6
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• pp.1126-1131
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• 2011

As the recent paradigm of education changes to become learner-centered, there is an increasing interest in project based class as one of new teaching models. Universities are accepting this change and aiming at fostering human resources of next generations, who are able to create creative changes, and studies are being actively conducted to that end. This study suggested a learner-centered teaching model which minimizes intervention of teachers in conducting projects of main text contents in designed subjects. This study suggested support system for the suggested model project-based class, team organization method, various interaction methods of learners, and team work monitoring method of teachers. And the suggestions were designed and realized through project management applications using smart phones which are being used by a rapidly growing number of people recently.

• The Journal of Information Systems
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• v.18 no.3
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• pp.135-154
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• 2009

As the knowledge is recognized as a core factor of organization's competitiveness and creation of value added, the importance of knowledge management is also increased. To achieve the successful knowledge management, it is important to establish strategy that consider essential purpose of knowledge management such as creating and sharing of knowledge resource, improving performance, and continuing organizational innovation within the organization and influence factor inside and outside of organization. Until now, however, the research for knowledge management strategy was mostly limited to the statistical analysis based on the unilinear causality model, and systematic access and analysis that consider interaction and feedback structure between factors. In this paper, we developed the novel decision-making framework for successful strategy establishment by applying the analytic network process(ANP). Specifically. we derive clusters and components to decide the interaction and feedback structure between the elements of knowledge management by literature studies. And we produced relative importance and preference of clusters, components and alternatives dealing with feedback structure through the survey of experts in the field or related one of knowledge management. In result of this study, we expect that it will help the knowledge officer to decide establishing knowledge management strategy.

• Earthquakes and Structures
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• v.8 no.1
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• pp.225-251
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• 2015

This paper presents a state-of-the-art review of the nonlinear modelling techniques available today for describing the structural behaviour of masonry infills and their interaction with frame structures subjected to in-plane loads. Following brief overviews on the behaviour of masonry-infilled frames and on the results of salient experimental tests, three modelling approaches are discussed in more detail: the micro, the meso and the macro approaches. The first model considers each of the infilled frame elements as separate: brick units, mortar, concrete and steel reinforcement; while the second approach treats the masonry infill as a continuum. The paper focuses on the third approach, which combines frame elements for the beams and columns with one or more equivalent struts for the infill panel. Due to its relative simplicity and computational speed, the macro model technique is more widely used today, though not all proposed models capture the main effects of the frame-infill interaction.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.675-683
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• 2021

An article is devoted to developing the concept of inter-territorial collaboration in the context of strengthening its economic security. This concept is based on the study of international experience and successful OTG functioning in Ukraine. The idea includes directions, forms, tools, procedures, and financial sources for joint projects that strengthen territorial associations' economic security. The research consists of assessing the state of economic development of territorial communities and forms of their cooperation with other territorial communities. Analysis, synthesis, induction, and deduction are the main methods of scientific knowledge used to summarize statistical information, normative and legal support, and global experience of cooperation of territorial communities. The study results include the main areas of cooperation of territorial communities in Ukraine, including long-term collaboration. The study also contains successful examples of collaboration between different territorial communities, applying practical aspects and tools to form effective interaction. The main points of discussion concern various forms of interaction between territorial communities, which allow achieving the economic goal more quickly and effectively.

• Women's Health Nursing
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• v.30 no.3
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• pp.203-215
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• 2024

Purpose: The increasing number of high-risk pregnancies has led to a greater emphasis on psychological well-being in nursing care. However, reducing depression does not automatically equate to increasing happiness. This study aimed to systematically examine the factors influencing happiness and depression among high-risk pregnant women in South Korea. Methods: This correlational, cross-sectional study was based on the ecological systems theory. In total, 152 high-risk pregnant women completed a self-report survey questionnaire available online or offline. Data were analyzed using hierarchical regression analysis. Results: The first model (individual system) identified pregnancy stress and mindfulness as significant factors influencing both happiness and depression. The second model (microsystem) identified medical status at the time of the survey, maternal-fetal interaction, marital intimacy, and social support as additional significant factors influencing either happiness or depression. In the third model (mesosystem), maternal-fetal interaction and paternal-fetal attachment were no longer identified as significant factors. Although the fourth model (exosystem) did not identify community service as a significant factor, individual (pregnancy stress, mindfulness) and microsystem (marital intimacy) factors were found to influence happiness and depression. Medical status at the time of survey and social support were additional factors that influenced happiness, but not depression. These factors explained 51.2% and 55.5% of the variance in happiness and depression, respectively, among high-risk pregnant women. Conclusion: Different factors at the individual and microsystem levels affected happiness and depression among high-risk pregnant women. Hence, efforts to reduce depression among these women should be accompanied by efforts to actively promote happiness.

• Biomolecules & Therapeutics
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• v.23 no.3
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• pp.251-260
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• 2015

Propofol is an anesthetic agent that gained wide use because of its fast induction of anesthesia and rapid recovery post-anesthesia. However, previous studies have reported immediate neurodegeneration and long-term impairment in spatial learning and memory from repeated neonatal propofol administration in animals. Yet, none of those studies has explored the sex-specific long-term physical changes and behavioral alterations such as social (sociability and social preference), emotional (anxiety), and other cognitive functions (spatial working, recognition, and avoidance memory) after neonatal propofol treatment. Seven-day-old Wistar-Kyoto (WKY) rats underwent repeated daily intraperitoneal injections of propofol or normal saline for 7 days. Starting fourth week of age and onwards, rats were subjected to behavior tests including open-field, elevated-plus-maze, Y-maze, 3-chamber social interaction, novel-object-recognition, passive-avoidance, and rotarod. Rats were sacrificed at 9 weeks and hippocampal protein expressions were analyzed by Western blot. Results revealed long-term body weight gain alterations in the growing rats and sex-specific impairments in spatial (female) and recognition (male) learning and memory paradigms. A markedly decreased expression of hippocampal NMDA receptor GluN1 subunit in female- and increased expression of AMPA GluR1 subunit protein expression in male rats were also found. Other aspects of behaviors such as locomotor activity and coordination, anxiety, sociability, social preference and avoidance learning and memory were not generally affected. These results suggest that neonatal repeated propofol administration disrupts normal growth and some aspects of neurodevelopment in rats in a sex-specific manner.

• Journal of Distribution Science
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• v.14 no.8
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• pp.113-121
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• 2016

Purpose - This paper aims to examine the impact of buyer-supplier cooperation on suppliers' trust on buyers and the moderating role of buyers' governance mechanism between the sharing activities and trust. Research design, data, and methodology - An integrated research model is designed to materialize the research hypotheses. First, the impact of buyer-supplier cooperation is empirically analyzed by looking into how the sharing activities, in the field of information, resource, and knowledge, of buyer with supplier will affect the trust of supplier on buyer. Second, the moderating effect of contract-based governance mechanism of buyer is empirically analyzed. Third, the influence of trust on innovation performance of suppler is empirically analyzed. Results - Our findings provide supporting evidence for some of our hypotheses. First, all of the sharing activities are significantly influential, but in different degree, to trust of supplier. Second, contract-based governance mechanism of buyer have a moderating effect on the relationship between sharing activities and trust, positively in resource-sharing activities, negatively in information-sharing activities, not significant in knowledge-sharing activities. Third, supplier's trust on buyer positively affects supplier's own innovation performance. Conclusions - The strategies applied in supply chain management have become important as the competition among firms has shifted from competition between individual firms to competition between supply chains. A customer's sharing activities with its supplier may contribute to an increase in innovation performance. The supplier's information-sharing activity with its customer could affect its information-sharing activities with its main supplier. Cooperative activity with a partner in the supply chain is cultivated and amassed into relationship knowledge, and this study shows that the cooperative relational knowledge related to information-sharing activities enables firms to participate in sharing activities with their main suppliers. Increasing evidence shows that sharing various activities between buyer and supplier improves trust and performance outcomes, and enables firms to maintain competitive advantage. From the perspective of knowledge theory, external knowledge is becoming more important in firms' innovation activities, because innovative knowledge is acquired primarily through interaction with another organization. In addition, relationship learning could be an important tool in absorbing the supplier's core technology, information, expertise, and core competencies, increasing relational value.