A study of integrative adoption model regarding social TV : Focused on integrative approach on intention of continuous use based on innovation diffusion theory, technology acceptance model and innovation resistance model

2016 ◽  
Vol 16 (2) ◽  
pp. 145 ◽  
Author(s):  
Sung-uk Yun
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Diffusion Theory ◽  
Integrative Approach ◽  
Innovation Diffusion Theory ◽  
Social Tv ◽  
Resistance Model ◽  
Adoption Model ◽  
Acceptance Model ◽  
Continuous Use

scholarly journals A Behavioral Study on Middle-Class Consumers in Adopting M-Commerce in East Java

2018 ◽  
Vol 14 (2) ◽  
pp. 113-125
Author(s):  
Mariatul Ulfa Mansyur ◽  
Bambang Hariadi ◽  
Wuryan Andayani
Keyword(s):  
Information Technology ◽  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Innovation Diffusion ◽  
Planned Behavior ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Diffusion Theory ◽  
Innovation Diffusion Theory ◽  
Acceptance Model

Abstract: A Behavioral Study on Middle-Class Consumers in Adopting M-Commerce in East Java. The objective of this study is to examine factors that influence the behavioral intention of consumers in using and adopting m-commerce. This study combines Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and Innovation Diffusion Theory (IDT). The data of this study were collected through a survey and samples were selected by using convenience sampling technique with SEM-PLS requirement as many as ten times the number of paths. The data were analyzed using Partial Least Square (PLS). The results of this study show that perceived usefulness, perceived ease of use, social influence, and personal innovativeness affecs behavioral intention. Furthermore, behavioral intention affects actual user, i.e. consumers, to use and adopt m-commerce information technology. This study implies that vendors of m-commerce information technology and management should pay more attention to and reconsider perceived usefulness, perceived ease of use, social influence, personal innovativeness, behavioral intention, and consumers as actual users, when they make decision regarding adoption and appliance of m-commerce.Keywords: m-commerce information technology adoption, consumer behavior, Technology Acceptance Model, Theory of Planned Behavior, Innovation Diffusion TheoryAbstrak: Studi Keperilakuan Konsumen Kelas Menengah dalam Pengadopsian M-Commerce di Jawa Timur. Studi ini bertujuan untuk menguji faktor-faktor yang memengaruhi minat perilaku konsumen dalam menggunakan maupun mengadopsi m-commerce. Studi ini merupakan penggabungan model Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), dan Innovation Diffusion Theory (IDT). Studi ini menggunakan metode survey, sampel dipilih dengan menggunakan teknik convenience sampling, dan teknik analisis yang digunakan adalah SEM-PLS. Studi ini menemukan bahwa konstruk persepsi kegunaan, persepsi kemudahan penggunaan, pengaruh sosial dan keinovatifan pribadi berpengaruh terhadap minat perilaku. Selanjutnya, studi ini juga menemukan bahwa minat perilaku berpengaruh terhadap pengguna yang sesungguhnya, yaitu konsumen, terkait dengan penggunaan maupun adopsi m-commerce. Implikasi studi ini adalah vendor layanan teknologi informasi m-commerce dan manajemen harus memperhatikan dan mempertimbangkan lagi persepsi kegunaan, persepsi kemudahan, pengaruh sosial, keinovatifan pribadi, minat perilaku dan konsumen sebagai pengguna sesungguhnya dalam mengambil keputusan terkait dengan pengenalan dan adopsi m-commerce.Kata kunci: Adopsi Teknologi Informasi M-commerce, Perilaku Konsumen, Technology Acceptance Model, Theory of Planned Behavior, Innovation Diffusion Theory

scholarly journals Integrating Technology Acceptance Model With Innovation Diffusion Theory: An Empirical Investigation on Students’ Intention to Use E-Learning Systems

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 26797-26809 ◽  
Author(s):  
Waleed Mugahed Al-Rahmi ◽  
Noraffandy Yahaya ◽  
Ahmed A. Aldraiweesh ◽  
Mahdi M. Alamri ◽  
Nada Ali Aljarboa ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Innovation Diffusion ◽  
Technology Acceptance Model ◽  
Empirical Investigation ◽  
Diffusion Theory ◽  
Learning Systems ◽  
Intention To Use ◽  
Innovation Diffusion Theory ◽  
E Learning ◽  
Acceptance Model

scholarly journals Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110400
Author(s):  
Jeeyeon Jeong ◽  
Yaeri Kim ◽  
Taewoo Roh
Keyword(s):  
Health Care ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Diffusion Theory ◽  
Wearable Devices ◽  
Intention To Use ◽  
Innovation Diffusion Theory ◽  
Study Results ◽  
Psychological Mechanism ◽  
Acceptance Model

This study examined the influencing factors on consumers’ intention to use wearable devices in health care (WDH). Although the importance of the WDH market is increasing, existing empirical study results on WDH have been selectively investigated based on the technology acceptance model (TAM). To address this issue, we endeavored to contribute by integrating the theory of planned behavior (TPB) and innovation diffusion theory (IDT) on top of TAM to explain the psychological mechanism underlying consumer behaviors, especially when adopting advanced wearable devices in the health care domain. We surveyed 303 people in Pangyo IT Valley, South Korea, and attempted a path analysis using PLS-SEM estimation. The findings suggest that individual innovativeness (IIN) directly affects consumers’ intention to use (IU) WDH, while self-efficacy (SE), aesthetics (AES), and compatibility (COM) have indirectly influenced their usage intentions. Detailed results are described in the article.

scholarly journals Understanding Mobile Tourism Shopping in Pakistan: An Integrating Framework of Innovation Diffusion Theory and Technology Acceptance Model

2019 ◽  
Vol 2019 ◽  
pp. 1-18
Author(s):  
Dongxiao Gu ◽  
Salman Khan ◽  
Ikram Ullah Khan ◽  
Safeer Ullah Khan
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Device ◽  
Social Presence ◽  
Structural Equation ◽  
Diffusion Theory ◽  
Equation Modeling ◽  
Innovation Diffusion Theory ◽  
Acceptance Model

Consumer adoption of mobile-based tourism shopping is an emerging but overlooked area in tourism research. Given the paybacks and potential scope of this new channel, this study attempts to bridge the gap by proposing a multimediation model investigating mobile tourism shopping (MTS) in a developing country, Pakistan. In particular, we applied structural equation modeling through partial-least-squares structural equation modeling (PLS-SEM) on 396 responses collected from mobile respondents who recently purchased tourism products using a mobile device(s). It was discovered that social presence, directly and indirectly, influences tourist intentions towards MTS. The results further show that the tourists’ perception of compatibility and relative advantages of MTS have insignificant influence on their intention to accept a mobile device(s) for tourism shopping. The findings and implications of the study furnish new vistas to research discourse and managerial significance. Economically, this research contributes to knowledge that could increase income and create jobs in the host country.

A Psychological Model to Understand E-Adoption in the Context of the Digital Divide

2013 ◽  
pp. 1402-1424
Author(s):  
Andrew Thatcher ◽  
Mbongi Ndabeni
Keyword(s):  
Technology Acceptance ◽  
Social Cognitive Theory ◽  
Digital Divide ◽  
Technology Acceptance Model ◽  
Social Cognitive ◽  
Cognitive Theory ◽  
Diffusion Theory ◽  
Psychological Model ◽  
Innovation Diffusion Theory ◽  
Acceptance Model

The digital divide is often conceptualised as inequalities of access to technology. While access is obviously a precursor to technology use, research consistently shows that the digital divide is not explained simply by access to technology; apparent in the evidence of digital divides within communities of equitable wealth or within the same geographical location. This chapter acknowledges the interplay between psychological as well as socio-economic factors as important in the adoption of technology. Within this approach we construct a model based on the Technology Acceptance Model, the Theory of Planned Behaviour, Innovation Diffusion Theory, Hofstede’s culture framework, and Social Cognitive Theory. The framework for the model is based on a combination of an extension of the Technology Acceptance Model, Innovation Diffusion Theory, and Social Cognitive Theory. The underlying theoretical assumptions are based on Social Cognitive Theory. While some aspects of these individual theories have already been applied to understanding the digital divide, this chapter develops a more comprehensive psychological model of e-adoption than currently exists in the literature.

A Psychological Model to Understand E-Adoption in the Context of the Digital Divide

2011 ◽  
pp. 127-149 ◽  
Author(s):  
Andrew Thatcher ◽  
Mbongi Ndabeni
Keyword(s):  
Technology Acceptance ◽  
Social Cognitive Theory ◽  
Digital Divide ◽  
Technology Acceptance Model ◽  
Social Cognitive ◽  
Cognitive Theory ◽  
Diffusion Theory ◽  
Psychological Model ◽  
Innovation Diffusion Theory ◽  
Acceptance Model

The digital divide is often conceptualised as inequalities of access to technology. While access is obviously a precursor to technology use, research consistently shows that the digital divide is not explained simply by access to technology; apparent in the evidence of digital divides within communities of equitable wealth or within the same geographical location. This chapter acknowledges the interplay between psychological as well as socio-economic factors as important in the adoption of technology. Within this approach we construct a model based on the Technology Acceptance Model, the Theory of Planned Behaviour, Innovation Diffusion Theory, Hofstede’s culture framework, and Social Cognitive Theory. The framework for the model is based on a combination of an extension of the Technology Acceptance Model, Innovation Diffusion Theory, and Social Cognitive Theory. The underlying theoretical assumptions are based on Social Cognitive Theory. While some aspects of these individual theories have already been applied to understanding the digital divide, this chapter develops a more comprehensive psychological model of e-adoption than currently exists in the literature.

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