The barriers and drivers of postponers’ adoption intention of mobile-only banks

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Jin Myong Lee ◽  
Hyo Jung Kim
Keyword(s):  
Adoption Intention

"Consumer Perception and Adoption Intention of Artificial Intelligent Speaker: Non-Users Perspective"

2019 ◽  
Vol 30 (2) ◽  
pp. 193-213 ◽  
Author(s):  
Jin-Myong Lee ◽  
Minji Jung ◽  
Jurae Lee ◽  
Ye-eun Kim ◽  
Chiyeon An
Keyword(s):  
Consumer Perception ◽  
Artificial Intelligent ◽  
Adoption Intention

scholarly journals Understanding FinTech Platform Adoption: Impacts of Perceived Value and Perceived Risk

2021 ◽  
Vol 16 (5) ◽  
pp. 1893-1911
Author(s):  
Jianli Xie ◽  
Liying Ye ◽  
Wei Huang ◽  
Min Ye
Keyword(s):  
Perceived Risk ◽  
Perceived Value ◽  
Future Research ◽  
It Adoption ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Adoption Research ◽  
Adoption Intention ◽  
Core Construct

FinTech platforms are one of the most important elements in the rapidly digitized world’s economy. This study investigates the factors that affected individuals’ acceptance of FinTech services, especially on internet wealth management platforms. The current research extends the unified theory of acceptance and use of technology (UTAUT) published by MIS Quarterly with integrated financial consumption attributes (i.e., perceived value and perceived risk) alongside the core construct of UTAUT. Data were collected from an established survey company. The empirical results indicate that perceived value, perceived risk, and social influence are strongly related to individuals’ FinTech adoption intention, whereas performance expectancy, effort expectancy, and perceived risk affect individuals’ perceived value, which in turn influences adoption intention. The proposed FinTech adoption model could contribute to information technology (IT) adoption research by extending the UTAUT in which individuals’ performance expectancy and effort expectancy affect their adoption intention indirectly through perceived value. Finally, the implications of the proposed new model for future research and FinTech practice are discussed.

scholarly journals Understanding the Adoption of Incentivized Word-of-Mouth in the Online Environment

2021 ◽  
Vol 16 (4) ◽  
pp. 992-1007
Author(s):  
Bogdan Anastasiei ◽  
Nicoleta Dospinescu ◽  
Octavian Dospinescu
Keyword(s):  
Latent Variables ◽  
Word Of Mouth ◽  
Electronic Word Of Mouth ◽  
Argument Quality ◽  
Message Type ◽  
Source Expertise ◽  
The One ◽  
Random Groups ◽  
The Relationship ◽  
Adoption Intention

Nowadays, word-of-mouth is a very important component of e-commerce activity because consumers are very sensitive to other people’s opinions. Depending on the companies’ politics, these opinions can be incentivized or non-incentivized. One of the major dilemmas consists in establishing which kind of word-of-mouth has more influence on customers’ perceptions. The purpose of this study is to assess the relationships between perceived argument quality (PAQ) and perceived source expertise (PSE), on the one hand, and electronic word-of-mouth adoption intention on the other hand, for an incentivized message compared to a non-incentivized message. We processed answers from two different random groups by using adapted PAQ and PSE inventories of questions. The constructs, latent variables and items were analyzed in IBM Amos software, and our findings confirm the hypotheses regarding the relationship between the attributes of the message (argument quality and source expertise) and message credibility. Additionally, we found a significant positive relationship between message credibility and electronic word-of-mouth adoption intention. Our research also explores the moderating role of the message type (incentivized vs. non-incentivized) in the relationships above, and we discovered that the message type significantly moderates the relationship between perceived argument quality and credibility, but the type of message does not moderate the relationship between message credibility and eWOM adoption intention.

Comparing “Individual Health” Message Framing to “Organizational Efficiency” Message Framing to Encourage Adoption of Wearable Health Technologies at Work

2020 ◽  
pp. 089011712094431
Author(s):  
Jillian K. Kwong ◽  
Ignacio Cruz ◽  
Sheila T. Murphy
Keyword(s):  
Financial Incentives ◽  
Message Framing ◽  
The United States ◽  
Wearable Technology ◽  
Organizational Efficiency ◽  
Health Technologies ◽  
Individual Health ◽  
Intention To Adopt ◽  
The Individual ◽  
Adoption Intention

Purpose: To determine the relative impact of framing on employee intention to adopt wearable technology (eg, Fitbits) at work. Setting and Design: Posttest only online experiment utilizing a 2 (framing: organizational efficiency vs individual health) × 2 (financial incentive: absent vs present) between-subjects design. Participants: Participants (N = 310) were 18 years or older, currently employed, and residing in the United States. Measures: Unified Theory of Acceptance and Use of Technology (UTAUT) subscale on behavioral intent (modified for wearable technology). Analysis: Chi-square and between-subjects analysis of variance. Results: Participants receiving the organizational efficiency frame ( M = 3.97) expressed significantly lower intention to adopt a wearable compared to the individual health frame ( M = 4.37), F 2,308 = 3.99, P = .047. Financial incentives had a positive effect on adoption intention ( M = 4.39 with incentive, M = 3.95 no incentive), F 2,308 = 4.46, P = .036. The main effects of frame and incentive were additive, with participants in the individual health with incentive condition (n = 78, M = 4.60) expressing the highest intention to adopt and organizational efficiency without incentive expressing the lowest adoption intention (n = 77, M = 3.80; P = .03). Conclusions: Messaging emphasizing individual health benefits plus financial incentives might prove most successful when encouraging adoption of wearables at work.

Generation Z and intention to use the digital library: does personality matter?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
M.A. Sanjeev ◽  
Shahnaz Khademizadeh ◽  
Thangaraja Arumugam ◽  
D.K. Tripathi
Keyword(s):  
Technology Adoption ◽  
Digital Library ◽  
Five Factor Model ◽  
Equation Modeling ◽  
Content Type ◽  
Independent Variables ◽  
Generation Z ◽  
Study Results ◽  
The Impact ◽  
Adoption Intention

Purpose This study aims to evaluate the role of personality in digital library systems (DLS) adoption intention among Generation Z (Gen-Z) students. The study uses the unified theory of acceptance and use of technology-2 and the five-factor model to investigate personality’s influence on Gen-Z’s DLS adoption intention. Design/methodology/approach The study is a descriptive causal investigation based on primary data collected through a self-administered survey using pre-validated tools. The study uses structural equation modeling to investigate personality dimensions’ direct and moderating effect on the dependent, independent variables and their relation. Findings The study results indicate that personality has no significant influence on Gen-Z’s DLS adoption, suggesting the ubiquity and inevitability of technology in current times. Also, only performance expectancy had a considerable impact on DLS adoption among Gen-Z going to college – a deviation from past studies where multiple independent variables have influenced DLS adoption when examined from different technology adoption model angles. Research limitations/implications The current research is done on Gen-Z, and thus the results are ideographic to the cohort. Practical implications The results of the study can be used to effectively design and communicate technology-enabled information solutions among the Cohort. Social implications The results of the study help better understand the factors affecting the technology adoption intentions of Gen-Z. Such understanding can help in better design and implementation of technology-enabled solutions for the cohort, maximizing such system adoption and its effective and efficient utilization. Originality/value The study explores the impact of personality on DLS adoption intentions, hitherto unexplored. The research also focuses on Gen-Z – a cohort born in a technology-enabled world whose attitude and preferences towards technology might differ. The study’s findings will help understand the influence of personality on DLS adoption among the Gen-Z and can be used to design, promote and evaluate such systems.

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