• Current Research on Agriculture and Life Sciences
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• 제33권1호
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• pp.7-14
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• 2015

This study identifies the complementarity or substitutability among apple production technology bundles. To identify the production technology bundle relationships, this paper focuses on the 8 most commonly used technology groups, including a high density plant, normal density plant, M9, M26, more than 70% adoption ratio of a medium-maturing variety, the adoption of a new variety, artificial pollination, and low-temperature storage. The results show that M9 has a complementary relationship with a high density plant, yet a substitute relationship with a normal density plant. Meanwhile, M26 has a complementary relationship with both a high and normal density plant. No substitute relationship is found between M9 and M26, yet a complementary relationship is identified between the adoption of artificial pollination and low-temperature storage and M9 or M26.

• Asian Journal of Innovation and Policy
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• 제11권2호
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• pp.183-201
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• 2022

The purpose of this article is to provide preliminary findings on the state of digital technology applications of startups in Southeast Asia and to discuss issues related to digital health adoption in the region. This exploratory study is based on an empirical analysis of startups and digital technology applications information from various publicly available website databases. Public and private organizations would benefit from a better understanding of the current state of digital technology applications provided by startups and the challenges faced in digital health adoption. This article contributes to the existing literature by offering an overview of startups and digital technology applications in the digital health space in the fast-growing region of Southeast Asia. It offers advice to organizations intending to pursue healthtech initiatives on the types of health services provided by startups and issues that need to be addressed to increase the adoption rate.

• 전기학회논문지
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• 제67권8호
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• pp.1031-1039
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• 2018

If large-scale PV systems are continuously interconnected to distribution system, customer voltages could violate the allowable voltage limit($220{\pm}13V$) according to reverse power flow of PV system. In order to solve these problems, this paper proposes flexible adoption evaluation algorithm of PV system in distribution system which estimates proper introduction capacity and location of ESS(energy storage system) for keeping customer voltages within allowable voltage limit based on various operating scenarios related with connecting point and capacity of PV system. And also this paper proposes modeling of ESS, SVR(step voltage regulator) and PV system using PSCAD/EMTDC S/W and analyzes characteristics of customer voltages and the adoption ability of PV system in distribution system. From the simulation results, it is confirmed that proposed algorithm is useful for large-scale adoption of PV system in distribution system to maintain customer voltages within allowable voltage limit.

• Journal of Information Science Theory and Practice
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• 제10권3호
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• pp.24-39
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• 2022

Online learning is becoming ubiquitous worldwide because of its accessibility anytime and from anywhere. However, it cannot be successfully implemented without understanding constructs that may affect its adoption. Unlike previous literature, this research extends the Unified Theory of Acceptance and Use of Technology with three well-known theories, namely compatibility, online self-efficacy, and knowledge sharing and acquisition to examine online learning adoption. A total of 264 higher education students took part in this research. Partial Least Squares-Structural Equation Modeling was used to evaluate the proposed theoretical model. The findings suggested that performance expectancy and compatibility were significant predictors of behavioral intention, whereas behavioral intention, facilitating conditions, and compatibility had a significant and direct effect on online learning's actual use. The results also showed that knowledge acquisition, knowledge sharing, and online self-efficacy were determinates of performance expectancy. Finally, online self-efficacy was a predictor of effort expectancy. The proposed model achieved a high fit and explained 47.7%, 75.1%, 76.1%, and 71.8% of the variance of effort expectancy, performance expectancy, behavioral intention, and online learning actual use, respectively. This study has many theoretical and practical implications that have been discussed for further research.

• 한국산학기술학회논문지
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• 제9권4호
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• pp.1018-1029
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• 2008

본 연구에서는 RFID 응용 기술의 도입 요인을 관련 정보 기술 즉, ERP, SCM, EDI 등과 같은 정보 시스템의 도입 요인을 문헌 연구를 통하여 살펴보면서 RFID 응용 기술의 도입 요인을 Delphi 방법으로 도출 하였다. 위 3개 분야의 정보 기술 도입 요인은 ERP 분야는 41개, SCM 분야는 42개, EDI 분야는 33개의 도입 요인이 도출되어 총 116개의 도입 요인들이 추출되었으며, 이들 116개의 도입 요인을 바탕으로 RFID 응용 기술의 도입 요인을 도출하였다. 델파이 조사를 통해 최종적으로 9개의 도입 요인(태그 관련 비용, 거래업체와의 관계, 기술의 호환성, 정보 기술 기반 구조, 기업 간 신뢰 및 조정, 산업 내 경쟁 강도, RFID 기술의 표준화, 최고 경영층의 지원, 거래기업의 참여도)을 도출하였다. 본 연구에서 제시된 도입 요인들은 ERP, SCM, EDI 등과 같은 정보 기술의 도입 요인들과 RFID 응용 기술의 도입 요인들과는 다소 다르다는 점을 발견할 수 있었다. 그 중에서 태그 관련 비용과 RFID 기술의 표준화 등과 같은 요인들은 RFID 응용 기술의 도입에 걸림돌로 지적되고 있는 것으로 나타났다.

• The Journal of Asian Finance, Economics and Business
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• 제7권6호
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• pp.255-264
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• 2020

The fourth industrial revolution has attracted much academic attention in these past few years. However, research on systematic and extensive factors affecting adoption of Industry 4.0 by SMEs in developing countries, especially in Vietnam, has been unavailable. This study aims to explore the impact of factors that influence the actual adoption of Industry 4.0 by SMEs in Ho Chi Minh City. Mixed-method research was utilized in this study including in-depth interviews of 12 participants and quantitative research of 396 respondents who are representative of SMEs by both online and via paper surveys. The SPSS and SmartPLS 3 software were employed to help analyze the collected data. The results indicate that perceived development of the human resource, perceived on-time, perceived saving cost, perceived improve product quality, perceived saving time, perceived ease-of-use, business resources, and conditions of the business environment, perceived usefulness, perceived enhanced customer relationship, and adoption intention, all have a positive significant effect on actual adoption of Industry 4.0. The results seem to suggest that managerial efforts aimed at increasing the factors' perceptions of adoption of Industry 4.0 and personal relevance of the technology will contribute to implementation success, where success is defined as effectual usage of the Industry 4.0.

• Human Ecology Research
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• 제57권2호
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• pp.171-183
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• 2019

Convergence between technology and financial services is ubiquitous and widespread. Virtual banks represent an important aspect of financial markets that can generate value added for consumers and enhance the quality of financial services. This study explores the effect of innovation characteristics (relative advantage, compatibility, and perceived risk), consumer characteristics (status quo bias), and social mechanisms (network externality: complementarity, numbers of peers) on consumers' adoption intention and resistance to virtual banks. This study adopted an innovation resistance model with two dependent variables: adoption intention and resistance to virtual banks. An online self-administered survey was conducted and 532 or non-users of virtual banks aged 20 to 69 years old were analyzed. Frequency analysis, descriptive analysis, and hierarchical multiple regression indicated that status quo bias, relative advantage, perceived risk, complementarity, and number of peers insignificantly influence the adoption intention regarding virtual banks. Furthermore, status quo bias, relative advantage, perceived risk, and number of peers insignificantly influence the resistance to virtual banks. Female respondents have a lower adoption intention and higher resistance to virtual banks than male respondents. The findings suggest that the innovation resistance model can be useful in understanding consumers'adoption and resistance behavior as well as reveal that innovation characteristics, consumer characteristics, and social mechanism are important antecedent variables of the innovation adoption decision.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권6호
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• pp.2069-2085
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• 2021

A Social Networking Service (SNS) platform provides digital footprints to discover users' interests and track the social diffusion of product adoptions. How to identify a small set of seed users in a SNS who is potential to adopt a new promoting product with high probability, is a key question in social networks. Existing works approached this as a social influence maximization problem. However, these approaches relied heavily on text information for topic modeling and neglected the impact of seed users' relation in the model. To this end, in this paper, we first develop a general product adoption function integrating both users' interest and social influence, where the user interest model relies on historical user behavior and the seed users' evaluations without any text information. Accordingly, we formulate a product adoption maximization problem and prove NP-hardness of this problem. We then design an efficient algorithm to solve this problem. We further devise a method to automatically learn the parameter in the proposed adoption function from users' past behaviors. Finally, experimental results show the soundness of our proposed adoption decision function and the effectiveness of the proposed seed selection method for product adoption maximization.

• 유통과학연구
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• 제20권1호
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• pp.77-85
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• 2022

Purpose: The Covid-19 pandemic has triggered several herd purchase behaviors, and online shopping has been considered a health-related preventative behavior. Thisstudy aimsto the relative impact of health threat beliefs concerning Covid-19 (perceived susceptibility and perceived severity) and herd mentality on consumers' online shopping post-adoption disconfirmation and continuance intention of online shopping. Research design, data and methodology: An internet survey was conducted with Vietnamese consumers, and upon screening, usable data of 292 responses were analyzed using PLS-SEM. Results showed that while herd mentality positively affects disconfirmation, health threat beliefs including perceived susceptibility and perceived severity of Covid-19 do not. Results: Results also provided further support for the notion that disconfirmation is a crucial determinant of post-adoption continuance intention. Moreover, herd mentality also has a significantly negative influence on online shopping post-adoption continuance intention. Conclusions: The research provides evidence supporting the role of herd mentality and post-adoption disconfirmation in driving consumers' intention to continue online shopping. However, the research shows that neither the perceived susceptibility of Covid-19 nor the perceived severity of Covid-19 has significant impact on post-adoption disconfirmation, adding mixed evidence to the application of health belief theory in technology (such as online shopping) adoption.

• 한국IT서비스학회지
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• 제9권3호
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• pp.65-82
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• 2010

Mobile applications market has emerged as new business model. The purpose of this study is to analyze the factors of mobile applications adoption. Based on prior studies of TAM and mobile technology/service, service quality, user experience, OS compatibility, self-efficacy, innovativeness, perceived usefulness, perceived ease of use, and cost were identified as affecting factors of mobile applications adoption. According to the results, service quality is significantly related to the perceived usefulness, and self-efficacy and innovativeness are significantly related to the perceived ease of use. User experience was also found to be related to both the perceived usefulness and the perceived ease of use. In case of OS compatibility, it was found to be significantly related to the perceived ease of use, but not to the perceived usefulness. Both the perceived usefulness and the perceived ease of use were found to be related to the adoption of mobile applications. However, cost was not found to be significant to the relationship between the perceived usefulness/the perceived ease of use and the adoption of mobile applications. This study contributes to provide the base of activation strategies and practical implications for mobile applications.