• Title/Summary/Keyword: adoption

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Innovative Converged Service and It's Adoption, Use and Diffusion : A Holistic Approach to Diffusion of Innovations, Combining Adoption-Diffusion and Use Diffusion Paradigms (디지털융합서비스의 수용, 사용, 확산에 관한 연구 : 혁신확산에 관한 수용-확산 및 사용-확산의 통합적 접근)

  • Sawng, Yeong-Wha;Rim, Myung-Hwan;Kim, Seong-Ho;Motohashi, Kazuyuki
    • Journal of Information Technology Applications and Management
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    • v.17 no.2
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    • pp.187-205
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    • 2010
  • This study takes a holistic approach to understand the diffusion of IPTV services by combining the adoption-diffusion model and the use-diffusion model of innovation. IPTV service, a leading digital converged application coupling media content with telecommunications, has been recently launched commercially in Korea. We created a structural model of adoption-diffusion, using the perceived easeof-use and usefulness of TAM(Technology Acceptance Model) as mediating variables, and a structural model of use-diffusion, with the rate of use and the variety of use as mediating variables. To empirically analyze these models, non-users of IPTV were surveyed using the adoption-diffusion model to identify factors influencing their intention to subscribe to the service. Meanwhile, users of IPTV were surveyed using the use-diffusion model to determine the factors that influence their satisfaction with the service and their intention to re-use it. Under the adoption-diffusion model, we found that trialability, household innovativeness and perceived risk were the determinants of user satisfaction with IPTV, and perceived ease-of-use, the mediating factors. Under the use-diffusion model, complementarity and communication were shown to be the determinants of users' satisfaction with IPTV, and variety of use, the mediating factor. We also found that consumers' intention to re-use IPTV was strongly influenced by its relative advantage and perceived risk.

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An Investigation on the Relationships of Psychological Characteristics with Technology Affinity and Adoption Intention (소비자들의 보편적 기술에 대한 태도 및 심리적 특성이 기술 수용성에 미치는 영향에 관한 실증적 연구)

  • Kim, Young-Kyun
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.2
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    • pp.56-68
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    • 2008
  • Technology adoption has been an important issue for researchers and practitioners. In this paper, we identified the relationships between intention of technology adoption and technological affinity and other psychometric characteristics. We believe that technology affinity may be one of the general psychometric traits of individuals, and thus people have a different affinity levels which may influence the technology adoption intention. As a result it was found that need for cognition and self efficacy had positive influence on technology affinity, and the affinity also positively affected adoption intention. In addition, it was also found that technology affinity displayed a mediating role for the consumers adoption intention with need for cognition and self efficacy.

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New Clothing Adoption in an Islamic Market

  • Javanmard, Habibollah;Iranmanesh, Ali;Bastaki, Sorayya Bakhtiari
    • The Journal of Industrial Distribution & Business
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    • v.5 no.4
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    • pp.13-22
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    • 2014
  • Purpose - This study aims to examine new product adoption (NPA) in the context of clothing in Iran. Research design, data, and methodology - Data were gathered from cloth owners in Iran, focusing on famous cloth brands cloth. Further, using the proportionate stratified sampling method, a total 438 usable questionnaires were returned and analyzed through the use of structural equation modeling (SEM). In addition, LISREL software was used to analyze the data collected through the structured questionnaires. Results - Overall, the study findings indicate that education has a positive effect on new product adoption, whereas the impacts of religion and Attitude towards Consumption (ATC) on new product adoption are negative and significant, but the effect of age, peers, and income on new product adoption is not significant. Conclusions - Using date obtained from a large random sample of Iranian consumers, this study offers a deeper understanding of the attitudinal and personal antecedents of consumers' new product adoption in an emerging market. Using the findings of the articles and conclusions will be useful for market researchers and, of course, business persons.

Adoption Factor Prediction to Prevent Euthanasia Based on Artificial Intelligence

  • KIM, Song-Eun;CHOI, Jeong-Hyun;KANG, Minsoo
    • Korean Journal of Artificial Intelligence
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    • v.9 no.1
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    • pp.29-35
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    • 2021
  • In this paper, we analyzed the factors of adoption and implemented a predictive model to activate the adoption of animals. Recently, animal shelters are saturated due to the abandonment and loss of companion animals. To address this, we need to find a way to encourage adoption. In this paper, a study was conducted using two data from an open data portal provided by Austin, Texas. First, a correlation analysis was conducted to identify the attributes that affect the result value, and it was found that Animal Type Intake, Intake Type, and Age upon Outcome influence the Outcome Type with correlation coefficients of 0.4, 0.26, and -0.2, respectively. For these attributes, the analysis was conducted using Multiclass Logistic Regression. As a result, dogs had a higher probability of Adoption than cats, and animals subjected to euthanasia were more likely to adopt. In the case of Public Assist and Stray, it was found that the Missing rate was high. Also, the length of stay for cats increased to 12.5 years of age, while dogs generally adopted smoothly at all ages. These results showed an overall accuracy of 62.7% and an average accuracy of 91.7%, showing a fairly reliable result. Therefore, it seems that it can be used to develop a plan to promote the adoption of animals according to various factors. Also, it can be expanded to various services by interlocking with the webserver.

Consumers' acceptance and resistance to virtual bank: views of non-users (인터넷전문은행 수용 의도와 저항에 관한 연구: 소비자, 혁신, 환경 특성을 중심으로)

  • Kim, Hyo Jung;Lee, Seung Sin
    • Human Ecology Research
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    • v.57 no.2
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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.

The Impact of Influencers' Characteristics on YouTube Information Adoption and Purchase Intention (인플루언서 속성이 유튜브 정보수용과 구매의도에 미치는 영향)

  • Park, So Jin;Oh, Chang Gyu
    • The Journal of Information Systems
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    • v.30 no.1
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    • pp.179-204
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    • 2021
  • Purpose The purpose of this study is to suggest a research model that shows how Youtube influencers affect consumers' Youtube information adoption and purchase intention. Generally, a communicator's character has a significant effect on the persuasiveness of the message. This study segments influencer characteristics into five dimensions and explores the effect of five characteristics on perceived usefulness of information, perceived enjoyment, information adoption, and purchase intention. Design/methodology/approach This study suggests a structural equation model that explains the casual relationship between the five dimensions of Youtuber characteristics and perceived usefulness of information, perceived enjoyment, information adoption, and purchase intention. Findings There are little research on what and how the characteristics of a Youtube influencer can affect consumers' information adoption and purchase intention of the product. This study is significant in that it provides a research model that examines the effect of Youtuber characteristics on consumers' information adoption and purchase intention. This research discovered that the dimensions of trustworthiness and attractiveness of influencer affect information adoption and purchase intention through the mediate variables.

Product Adoption Maximization Leveraging Social Influence and User Interest Mining

  • Ji, Ping;Huang, Hui;Liu, Xueliang;Hu, Xueyou
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.6
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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.

Determinants for the Adoption of Electronic Commerce by Small and Medium-Sized Enterprises: An Empirical Study in Indonesia

  • ASWAR, Khoirul;ERMAWATI, Ermawati;WIRMAN, Wirman;WIGUNA, Meilda;HARIYANI, Eka
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.7
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    • pp.333-339
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    • 2021
  • The study seeks to identify the determinants of the adoption of e-commerce by small and medium-sized enterprises (SMEs) in developing countries, in our case, in Indonesia. The aim of this study is to examine the factors influencing e-commerce adoption. This study uses the method of quantitative data collection based on a questionnaire survey of SMEs in Indonesia. The research relies on Regional Project stipulations regarding Business Development in Indonesia, to capture businesses with a range of 5 to 100 employees that are classified as SMEs. This study randomly chose 100 SMEs in Indonesia from the IndoNetwork database. Partial least square (PLS) structural model data processing was used for path coefficients analysis. Structural equation modeling is applied in this study to analyze the determinant factors on the e-commerce adoption. The study findings reveal that four factors, namely, perceived benefits, compatibility, technology readiness, and government support, significantly influence the adoption of e-commerce, whereas customer/supplier pressure does not have influence. So, this study concludes that perceived benefits, compatibility, technology readiness, and government support had a significant and positive relationship with e-commerce adoption. Meanwhile, customer/supplier pressure had no effect on the e-commerce adoption of by Indonesia SMEs.

An Application of TAM and TRI on the Factors Affecting Internet Banking Adoption in Bangladesh

  • AMIN, Md. Iftekharul;ERFAN, Nafis;NAVID, Mashrur;KHAN, Mohammed Shafiul Alam;ISLAM, Md. Shariful
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.9
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    • pp.75-91
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    • 2022
  • This study assesses the Internet banking adoption tendency by existing bank customers of Bangladesh. Currently, almost all the leading banks in the country have implemented Internet banking platforms. However, the active user count remains relatively low and there hasn't been any conclusive research on the drivers and inhibitors of Internet banking. This study evaluates the reasons and quantitatively establishes the factors leading to the adoption and usage continuance of internet banking by existing bank customers. Responses from 460 bank account holders were collected via online questionnaires using a purposive sampling approach, and a core conceptual framework based on Technology Acceptance Model (TAM) and Technology Readiness Index (TRI) was used. The study concluded that internet banking adoption is significantly impacted by the ease of use, customer service, and technology familiarity. Similarly, customer satisfaction is affected by the perceived value and the perceived risk. Through regression analysis, it was found that usage continuance is 89% explained by adoption and customer satisfaction. Multi-group moderation showed significant impact by groups divided based on usage frequency, income level, and age. Perceived risk weakened the impact of perceived value and technology familiarity on usage adoption. Additionally, perceived risk reduced the impact of consumer satisfaction and usage continuance.

Post-Adoption of Online Shopping: Do Herding Mentality or Health Beliefs Matter?

  • KIEU, Tai Anh
    • Journal of Distribution Science
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    • v.20 no.1
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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.