A Study on the Behavior of International Medical Tourists by Using the Hospital Mobile Website strategy: Suggest the application of Elaboration Likelihood model and Innovation Diffusion theory

2021 ◽  
Vol 30 (5) ◽  
pp. 57-77
Author(s):  
Hye-Ran Kim
Keyword(s):  
Innovation Diffusion ◽  
Diffusion Theory ◽  
Elaboration Likelihood Model ◽  
International Medical ◽  
Elaboration Likelihood ◽  
Innovation Diffusion Theory ◽  
Likelihood Model

DETERMINAN MINAT INDIVIDU MENGGUNAKAN LAYANAN FINANCIAL TECHNOLOGY LINKAJA DENGAN KERANGKA INNOVATION DIFFUSION THEORY

2020 ◽  
Vol 4 (6) ◽  
pp. 951-966
Author(s):  
Brigitta Priscilla DivinaRianti ◽  
Brady Rikumahu
Keyword(s):  
Innovation Diffusion ◽  
Diffusion Theory ◽  
Relative Advantage ◽  
Probability Sampling ◽  
Innovation Diffusion Theory ◽  
Financial Technology

Determinan Minat Individu Menggunakan Layanan Financial Technology LinkAja dengan Kerangka Innovation Diffusion Theory. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi minat individu menggunakan atau mengadopsi layanan fintech LinkAja dengan kerangka Innovation Diffusion Theory (IDT). Penelitian ini merupakan penelitian kuantitatif dengan menggunakan sampel penelitian sebanyak 400 pengguna layanan fintech LinkAja di Indonesia yang diperoleh dengan teknik probability sampling. Analisis data dengan menggunakan aplikasi IBM SPSS statistics 20. Hasil penelitian ini menunjukkan bahwa faktor relative advantage, compatibility, trialability, dan observability berpengaruh secara signifikan terhadap niat mengadopsi layanan financial technology LinkAja, sedangkan complexity tidak memiliki pengaruh yang signifikan terhadap niat mengadopsi LinkAja.

Understanding online health community users' information adoption intention: an elaboration likelihood model perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tao Zhou
Keyword(s):  
User Behavior ◽  
Source Credibility ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Content Type ◽  
Peripheral Cues ◽  
Likelihood Model ◽  
Adoption Intention ◽  
Information Adoption ◽  
Central Cues

PurposeThe purpose of this research is to draw on the elaboration likelihood model (ELM) to examine users' information adoption intention in online health communities (OHC).Design/methodology/approachThe authors collected 350 valid responses using a survey and conducted the moderated regression analysis to examine the research model.FindingsThe results indicated that users' information adoption intention is influenced by both central cues (argument quality) and peripheral cues (source credibility and emotional support). In addition, self-efficacy moderates the effect of both central cues and peripheral cues on information adoption intention.Originality/valuePrevious research has focused on the effect of individual motivations such as reciprocity and benefits on user behavior, and has seldom disclosed the influencing process of external factors on OHC users' behavioral decision. This research tries to fill the gap by adopting ELM to uncover the mechanism underlying OHC users' information adoption.

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