Investigating mobile wireless technology adoption: An extension of the technology acceptance model

2008 ◽  
Vol 11 (3) ◽  
pp. 323-333 ◽  
Author(s):  
Sanghyun Kim ◽  
Gary Garrison
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Wireless Technology ◽  
Mobile Wireless ◽  
Acceptance Model ◽  
Mobile Wireless Technology

Mobile commerce adoption among the bottom of the pyramid: a case of street vendors in Thailand

2019 ◽  
Vol 10 (1) ◽  
pp. 193-213 ◽  
Author(s):  
Tanikan Pipitwanichakarn ◽  
Nittaya Wongtada
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Commerce ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Street Vendors ◽  
Content Type ◽  
Acceptance Model

Purpose This study aims to investigate the applicability of technology acceptance model in explaining technology adoption among street vendors in Thailand as a representation of emerging economies. Design/methodology/approach A pen-and-pencil survey was administered to 370 street vendors in Bangkok; 356 usable surveys were analyzed for a completed rate of 96.2 per cent. Structural equation modeling was used to analyze the data. Findings This study contributes to the existing technology acceptance literature as follows: First, the predictive power of the technology acceptance model is strong and holds true for street vendors. Second, it revealed that the relationship of entrepreneurial orientation and technology adoption is completely connected through the decision-making process (i.e. trust and system characteristics, otherwise known as usefulness and ease of use). Finally, the degree of product differentiation strengthens the positive relationship between perceived usefulness and the intention to use mobile commerce. Originality/value This study advances the previous research on e-commerce adoption in settings outside the formal sector. More specifically, this study developed and validated the extended technology acceptance model in the smallest-scale of entrepreneurs, street vendors, to increase the understanding of the adoption of m-commerce.

Parental supervision and control of adolescents’ problematic internet use: understanding and predicting adoption of parental control software

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kristin Stewart ◽  
Glen Brodowsky ◽  
Donald Sciglimpaglia
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Parental Control ◽  
Perceived Usefulness ◽  
Internet Usage ◽  
Control Software ◽  
Content Type ◽  
Acceptance Model ◽  
Monitoring Software

Purpose This paper aims to identify the factors that motivate parents to adopt internet monitoring software (aka parental control software [PCS]) to curb problematic internet usage and safeguard their children online. By doing so, the authors are able to curb problematic internet usage and keep children safe online. Design/methodology/approach An online survey was conducted using a representative sample of 330 parents in the USA with children ages 10 to 15. Results were analyzed using structural equation modeling. Findings This research combines two theories, namely, technology acceptance model (TAM) and protection motivation theory (PMT) to factors that motivate parents to adopt internet monitoring software to help their children. Perceived severity, perceived vulnerability from PMT and personal innovativeness (PI) from TAM, which is related to self-efficacy and the belief that future technologies will require less effort to adopt, are key factors that influence parents’ perceived usefulness of PCS. Perceived usefulness and PI both positively predict parents’ purchase intention for internet monitoring software. Practical implications The study establishes that there are personal, technology and situational factors that motivate the adoption of PCS. These determinants have implications for how marketers identify potential users and how they might improve the promotion of internet monitoring technologies. Originality/value The paper extends the application of the technology acceptance model and PMT to predict technology adoption aimed at helping others. Findings show that personal and perceptual factors motivate parents’ adoption of internet monitoring software to curb problematic internet usage and keep children safe online. This paper is the first to combine the technology acceptance model and PMT to explain the adoption of software solutions to protect others online. By doing so, a more thorough account of parents’ technology adoption to protect their children is offered.

scholarly journals An Empirical Study of Factors Affecting Mobile Wireless Technology Adoption for Promoting Interactive Lectures in Higher Education

2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Chin Lay Gan ◽  
Vimala Balakrishnan
Keyword(s):  
Higher Education ◽  
Technology Adoption ◽  
Urban Areas ◽  
Higher Learning ◽  
Wireless Technology ◽  
Mobile Wireless ◽  
Independent Variables ◽  
Interactive Lectures ◽  
Learning Institutions ◽  
Mobile Wireless Technology

<p>Use of mobile technology are widespread, particularly among the younger generation. There is a huge potential for utilizing such technology, particularly in lecture sessions with large number of students, serving as an interaction tool between the students and lecturer. The challenge is to identify adoption factors to ensure effective adoption of the technology to promote interactivity between students and lecturer in the classroom. This paper aims to examine factors supporting use of mobile wireless technology during lectures to promote interactivity between students and lecturers in Malaysia’s higher education institutions. Survey involving higher education students in Malaysia was conducted with a sample size of 302. Factor analysis results identified five factors: independent variables System Usefulness (SU), User System Perception (USP), User Uncertainty Avoidance (UUA), System and Information Quality (SIQ), and dependent variable Mobile Wireless Technology Adoption for Interactive Lectures (MWT_AIL). All independent variables are positively associated to MWT_AIL, with UUA and SIQ having higher level of significance compared to SU and USP. Respondents were selected from higher learning institutions from urban areas in Malaysia. Therefore results obtained are not representative of the entire higher education landscape in Malaysia and future studies are warranted to include higher learning institutions located in rural areas. It is hoped that findings from this study will serve as a catalyst for future researches to be conducted in this area, particularly among higher education researchers seeking ways to utilize technology effectively to enhance the learning experiences of the students in the classroom.</p>

Application of an Extended TAM Model for Online Banking Adoption

2011 ◽  
Vol 24 (1) ◽  
pp. 1-13 ◽  
Author(s):  
R. P. Sundarraj ◽  
Nick Manochehri
Keyword(s):  
Technology Adoption ◽  
Empirical Study ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Internet Banking ◽  
Online Banking ◽  
Research Model ◽  
Societal Factors ◽  
Tam Model ◽  
Acceptance Model

The understanding of factors leading to the acceptance or rejection of information systems (IS) is important and relevant. Although there have been studies examining the adoption of Internet Banking (IB), research on this topic in the Gulf context and from an IS perspective is lacking, even though societal factors are acknowledged as having an impact on technology adoption. To fill this gap, this paper uses a version of the Technology Acceptance Model (TAM), extended by the compatibility and trust constructs. An empirical study, using students from a large university in the region, validates the research model.

scholarly journals Using a Technology Acceptance Model to investigate what factors influence farmer adoption of a nutrient management plan

2021 ◽  
Author(s):  
M. McCormack ◽  
C. Buckley ◽  
E. Kelly
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Nutrient Management ◽  
Management Plan ◽  
Perceived Usefulness ◽  
Full Time ◽  
Farmer Adoption ◽  
Farmer Behaviour ◽  
Acceptance Model

The agricultural sector will play a key role in reaching the goals set out in the Water Framework Directive 2000/60/EC, and so understanding farmer behaviour in relation to farm management best practice is important. In this paper, we investigate if the Technology Acceptance Model (TAM) can predict farmer adoption of an online nutrient management plan (NMP). A NMP has the potential to reduce the risk of nutrient transfer from agricultural land, without negatively affecting farm-level profitability. The TAM identifies two psychological constructs, perceived usefulness (PU) and perceived ease of use (PEOU), which are believed to be key factors in technology adoption. The data were collected through a survey from 358 farms by a team of professional data recorders in 2015. Results indicate that PU and PEOU of a NMP are positively and significantly related to a farmer’s intention to adopt and use the technology in the future. However, PU, which captures the perceived benefits in terms of usefulness, is the main driver of technology adoption. Results show that those farmers who adopt and use the technology are more likely to have larger farms and are full-time farmers. They use agricultural extension services and the farm is also more likely to be the main contributor to overall household income. The research recommends that the usefulness of a NMP, in terms of increased profitability, improving nutrient management practices, labour and time-saving advantages, should be highlighted and clearly communicated to farmers.

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