Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model

2021 ◽  
pp. 2-15
Author(s):  
Somang Min ◽  
Kevin Kam Fung So ◽  
Miyoung Jeong
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Technology Acceptance Model ◽  
Mobile Application ◽  
Innovation Theory ◽  
Consumer Adoption ◽  
Diffusion Of Innovation Theory ◽  
Acceptance Model

Mobile Commerce Adoption in Organizations

2012 ◽  
Vol 10 (2) ◽  
pp. 61-78 ◽  
Author(s):  
Husam Alfahl ◽  
Louis Sanzogni ◽  
Luke Houghton
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Technology Acceptance Model ◽  
Mobile Commerce ◽  
Diffusion Of Innovation Theory ◽  
Intention To Adopt ◽  
Research Propositions ◽  
Acceptance Model ◽  
Areas Of Interest ◽  
Mobile Commerce Adoption

The paper comprehensively reviews research conducted on mobile commerce adoption in organizations. From the literature, factors adopted form a number of adoption theories such as the diffusion of innovation theory, the technology acceptance model, etc. are identified, analyzed and tabulated together with a set of research propositions in order to demonstrate areas in need of further research. The paper proposes 15 adoption factors that may affect the intention to adopt mobile commerce in organizations. These factors are categorized into three groups, namely environmental and organizational, technological, and managerial and other factors. We conclude our argument by presenting a proposed adoption model and showing potential areas of interest to future researchers.

scholarly journals ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI ADOPSI TWITTER ADVERTISING PADA SEGMEN MUDA USIA 15 – 24 TAHUN WILAYAH JABODETABEK (JAKARTA, BOGOR, DEPOK,TANGGERANG, BEKASI) TAHUN 2011

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Edith Lavindri ◽  
Pepey Riawati Kurnia
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Technology Acceptance Model ◽  
Model Theory ◽  
Reasoned Action ◽  
Subjective Norm ◽  
Perceived Usefulness ◽  
Intention To Adopt ◽  
Innovation Model ◽  
Acceptance Model

Teori dan Model Theory of Reasoned Action (TRA) dari Fishbein & Ajzen (1975), Theory Planned Behavior (TPB) dari Ajzen (1991), Technology Acceptance Model (TAM) dari Davis (1989) dan Diffusion of Innovation Model (DOI) dari Rogers (1983 dalam Rogers, 2003) sering digunakan oleh banyak peneliti untuk menemukan faktor – faktor yang mempengaruhi adopsi yang berkaitan dengan teknologi. Pada penelitian ini keempat teori dan model ini dikombinasikan guna menjelaskan faktor – faktor yang mempengaruhi adopsi Twitter advertising pada segmen muda usia 15 – 24 tahun. Sebanyak 389 penguna Twitter menjadi responden penelitian ini, dimana 5 diantaranya diwawancara untuk mendapatkan pemahaman mendalam akan adopsi Twitter advertising. Hasil analisis menunjukkan bahwa terdapat attitude terhadap Twitter advertising, subjective norm terhadap Twitter advertising, perceived usefulness terhadap Twitter advertising berpengaruh dan signifikan terhadap intention to adopt Twitter advertising.

Survey of Citizens’ Perceptions in the Adoption of National Governmental Portals

2011 ◽  
pp. 213-235
Author(s):  
Teta Stamati ◽  
Athanasios Karantjias ◽  
Drakoulis Martakos
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Adoption Process ◽  
Research Model ◽  
Innovation Theory ◽  
Trust Models ◽  
Acceptance Model ◽  
Acceptance Factors

?he transformational role of e-government can be achieved through engagement of the citizens in the e-government rollout and subsequent adoption. The present study integrates constructs from the Technology Acceptance Model, Diffusions of Innovation Theory and Trust Models in order to propose a research model to guide future e-government initiatives. The critical acceptance factors, namely: trust, security, and regulation are analyzed for the citizens’ adoption process. The citizen’s perceptions of electronic services adoption are analyzed based on the case study of the National Governmental Portal.

Diffusion of Innovation Theory and the Problem of Context for Inter-Organizational Information Systems

2012 ◽  
pp. 209-221
Author(s):  
Luke Houghton ◽  
Don Kerr
Keyword(s):  
Information Systems ◽  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Diffusion Of Innovations ◽  
Diffusion Theory ◽  
Contextual Factors ◽  
Research Literature ◽  
Future Research ◽  
Diffusion Of Innovation Theory ◽  
Acceptance Model

This chapter argues that diffusion theory models like the technology acceptance model (TAM) need to be rethought of in light of contextual factors that are becoming increasingly important in modern inter-organisational settings. This is due to the growing complexity of organizations with respect to different organisational types, contexts, and political structures that have been shown in research literature to hinder information systems acceptance. The chapter looks at possible contextual factors that are ignored by TAM by critiquing its parent diffusion theory (diffusion of innovations). This approach was considered best as there are many variations of TAM, but the diffusion of innovations (DOI) theory underlies all these variations. The chapter also recommends a way forward for research into inter-organisational information systems by examining an example situation of Feral Information Systems (FIS) to illustrate the problem. The chapter concludes with a discussion about future research directions.

Researching Technological Innovation in Small Business

2011 ◽  
pp. 3292-3297
Author(s):  
Arthur Tatnall
Keyword(s):  
Information System ◽  
Small Business ◽  
Technology Acceptance ◽  
Innovation Diffusion ◽  
Technological Innovation ◽  
Technology Acceptance Model ◽  
Innovation Theory ◽  
New Information ◽  
Acceptance Model

The introduction of a new information system into a small business, or upgrading an existing system, should be seen as an innovation and considered through the lens of innovation theory. The most widely accepted theories of how technological innovation takes place are provided by innovation diffusion (Rogers, 1995) and the technology acceptance model (Davis, 1986), but most of the research based on these models involves studies of large organizations or societal groups. This article argues that another approach, innovation translation, has more to offer in the case of innovations that take place in smaller organizations (Burgess, Tatnall, & Darbyshire, 1999; Tatnall, 2002; Tatnall & Burgess, 2004).

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