A Conceptual Framework for Online Stock Trading Service Adoption

2013 ◽  
Vol 5 (1) ◽  
pp. 52-67 ◽  
Author(s):  
Alireza Abroud ◽  
Yap Voon Choong ◽  
Saravanan Muthaiyah
Keyword(s):  
Technology Acceptance ◽  
New Technology ◽  
Economic Value ◽  
Individual Investors ◽  
Stock Trading ◽  
Service Adoption ◽  
Intention To Adopt ◽  
Electronic Service ◽  
Internet Platform ◽  
Acceptance Model

Globalization and recent advancement in the deployment of Internet and related technologies, have significantly transformed all sectors of the modern economy. For instance, electronic service has enabled the application of Internet platform in stock trading, thereby empowering individuals across diverse location to engage in trading activities. As established by extant theories on technology acceptance, individuals are expected to exhibit different attitude and behaviour towards new technology. This study aims to develop a conceptual model, which can explain the antecedents of individual investors’ intention to adopt online stock trading service. Specifically, this study identifies three new constructs (trust perception, investors’ knowledge and economic value) by integrating theory of planed behavior (TPB) and technology acceptance model (TAM), with perspective from transaction cost theory (TCT).

A Conceptual Framework for Online Stock Trading Service Adoption

2014 ◽  
pp. 467-483
Author(s):  
Alireza Abroud ◽  
Yap Voon Choong ◽  
Saravanan Muthaiyah
Keyword(s):  
Technology Acceptance ◽  
New Technology ◽  
Economic Value ◽  
Individual Investors ◽  
Stock Trading ◽  
Service Adoption ◽  
Intention To Adopt ◽  
Internet Platform ◽  
Trading Activities ◽  
Acceptance Model

Globalization and recent advancement in the deployment of Internet and related technologies, have significantly transformed all sectors of the modern economy. For instance, electronic service has enabled the application of Internet platform in stock trading, thereby empowering individuals across diverse location to engage in trading activities. As established by extant theories on technology acceptance, individuals are expected to exhibit different attitude and behaviour towards new technology. This study aims to develop a conceptual model, which can explain the antecedents of individual investors' intention to adopt online stock trading service. Specifically, this study identifies three new constructs (trust perception, investors' knowledge and economic value) by integrating theory of planed behavior (TPB) and technology acceptance model (TAM), with perspective from transaction cost theory (TCT).

A Study of Consumer Continuance Intention to Adopt Mobile Payment Application in Indonesia

2021 ◽  
pp. 435-456
Author(s):  
Rosdiana Sijabat
Keyword(s):  
Technology Acceptance ◽  
Perceived Risk ◽  
Economic Value ◽  
Mobile Payment ◽  
Continuance Intention ◽  
User Intention ◽  
Intention To Adopt ◽  
Acceptance Model ◽  
High Level ◽  
Level Of Risk

This study investigates the factors that determine user intention to continue using mobile payment application, taking as its case an Indonesian application called OVO. It applies the technology acceptance model by examining continuance intention to use (CITU) of OVO, economic value, satisfaction, gender difference, and perceived risk as the constructs. This study finds that economic value is significant predictor of CITU, but of a lower magnitude when the application was perceived as having a high level of risk. Satisfaction was significantly associated with CITU, particularly amongst users who perceived OVO as having a high level of risk. Although economic value and satisfaction influenced CITU amongst both male and female respondents, their influence was greatest amongst the former.

scholarly journals User Adoption Of Internet Of Things: Determining Factors That Directly Affect Internet Of Things Service Adoption And Applying Them To An Existing System

2021 ◽  
Author(s):  
Revathi Gopalakrishnan
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
New Technology ◽  
Intention To Use ◽  
Service Adoption ◽  
User Adoption ◽  
Determining Factors ◽  
Acceptance Model ◽  
Insight Into

Internet of Things (IoT) is defined as a convergence of multiple technologies that interconnect physical and virtual objects over a network to improve our quality of life. These services deal with numerous interactions between devices, each having its own functionality and user flows. A large emphasis has always been placed on the technical aspects of IoT but very little importance has been given to researching factors that could have a significant effect on a user’s intention to use and adopt these services. Technology Acceptance Model (TAM) and Value-based Adoption Model (VAM) are two of the most widely used models to discovering the potential user’s intention to use a new technology. This paper examines these models to provide insight into determining factors that directly affect IoT service adoption by users and applies it to developing a coherent and engaging user interface for an existing IoT system.

scholarly journals User Adoption Of Internet Of Things: Determining Factors That Directly Affect Internet Of Things Service Adoption And Applying Them To An Existing System

2021 ◽  
Author(s):  
Revathi Gopalakrishnan
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
New Technology ◽  
Intention To Use ◽  
Service Adoption ◽  
User Adoption ◽  
Determining Factors ◽  
Acceptance Model ◽  
Insight Into

Internet of Things (IoT) is defined as a convergence of multiple technologies that interconnect physical and virtual objects over a network to improve our quality of life. These services deal with numerous interactions between devices, each having its own functionality and user flows. A large emphasis has always been placed on the technical aspects of IoT but very little importance has been given to researching factors that could have a significant effect on a user’s intention to use and adopt these services. Technology Acceptance Model (TAM) and Value-based Adoption Model (VAM) are two of the most widely used models to discovering the potential user’s intention to use a new technology. This paper examines these models to provide insight into determining factors that directly affect IoT service adoption by users and applies it to developing a coherent and engaging user interface for an existing IoT system.

Using Technology Acceptance Model to Study Customers’ Perception Towards Green Banking

Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 402-409
Author(s):  
Deepak Shrivastava ◽  
Apurva Shrivastava ◽  
Gyan Prakash
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
New Technology ◽  
Banking System ◽  
Point Of View ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Tech-friendliness in this new era is an important quotient considered and the persons’ acceptance towards the technology frequency matters a lot. But still the frequency varies from person to person, this brought in the concept of Technology Acceptance Model given by Fred Davis in 1989. The theory of TAM is based on two theories that are Theory of Reasoned Action and Theory of Planned Behavior, TAM is extended version of these two. Green Banking is a new technology introduced by the banks that focuses on the growth of Sustainable development and Banking system too. Thus, banks ask their customers to use it or practice it in their daily life transactions. But every customer has their own point of view on the usage of Green banking. Thus, the research aims to understand the customers’ perception towards the Green Banking for this TAM is used. The research states that Perceived risk is the primary factor that is followed by perceived usefulness and perceived ease of use that impacts the decision to use green banking. Thus, the behavioral intention results in actual use of green banking usage for which people are trying to accept the new technology. So, the banks have earned points for creating awareness among their customers but still they have to work hard and clarify their customers’ problems and vanish that hitch that is stopping them to use green banking easily.

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.

scholarly journals Socio-Individual Prerequisites of Energy Transition in Iran: Investigating Public Acceptance of Solar Panel Technology in Rural Areas

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Sara Karimzadeh ◽  
Eva Kašparová
Keyword(s):  
Technology Acceptance ◽  
Rural Areas ◽  
New Technology ◽  
Energy Transition ◽  
Perceived Usefulness ◽  
Mediating Role ◽  
Iranian Government ◽  
Acceptance Model ◽  
Adoption Intention

Iran has inordinate natural capacity to benefit from solar energy all year. Interim plansby the Iranian government have been implemented to develop energy transition in ruralareas, however, the outcomes have not been promising so far. This research seeks toaddress the question of what factors influence villagers’ tendency towards solar panelacceptance for domestic usage. To answer the question, a survey was conducted amongresidents who had not installed the new technology in the survey time. A model basedon the modified framework of the Technology Acceptance Model for energy transitionwas developed and data was collected from the northern part of Iran—Mazandaranprovince. The data revealed that through the mediating role of attitude, the strongesteffect on adoption intention relates to perceived usefulness. The paper discusses whysolar energy technology is not welcomed in the studied community. The findingscontribute to increase our knowledge about underlying factors on the development ofpublic adoption of renewable energies in a developing country.

Distinguish Significant Adoption Factors That Influence Users' Behavioral Expectation to Utilize Mobile Payment

2019 ◽  
pp. 148-168
Author(s):  
Pajaree Tansakul ◽  
Malka N. Halgamuge ◽  
Ali Syed
Keyword(s):  
Technology Acceptance ◽  
Perceived Risk ◽  
Positive Impact ◽  
Negative Relationship ◽  
Mobile Payment ◽  
Intention To Use ◽  
Scientific Publications ◽  
Adoption Factors ◽  
Intention To Adopt ◽  
Acceptance Model

In this chapter, the authors performed an analysis of the data extracted from 39 peer-reviewed scientific publications between 2015 and 2018 describing users' adoption of various mobile payment systems encompassing methods, technologies, adoption models, theories, variables of the adoption models and theories, as well as significant adoption factors. The analysis demonstrates that the technology acceptance model (TAM) is the most popular model to investigate users' adoption of mobile payment. Both the original and extended versions of TAM are studied broadly to examine the individual's intention to adopt mobile payment. In addition, the analysis of the results from this chapter demonstrates perceived compatibility has the strongest positive impact on the intention to use mobile payment technology whereas perceived risk has a negative relationship with the intention to use mobile payment technology.

Predicting Internet Use

2011 ◽  
pp. 13-29 ◽  
Author(s):  
William R. Chrismar ◽  
Sonja Wiley-Patton
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Extended Model ◽  
It Adoption ◽  
Business Managers ◽  
Intention To Adopt ◽  
Medical Sector ◽  
Acceptance Model ◽  
Health Applications

The technology acceptance model (TAM; Davis, 1989) has been widely used by information technology researchers to gain a better understanding of information technology (IT) adoption and its use in organizations. While TAM has been applied and tested in academic and corporate settings, involving students, business managers, and clerical and administrative types as participants, few studies have evaluated TAM in the healthcare environment. This chapter examines the applicability of the extended technology acceptance model (TAM2; Ventkatesh & Davis, 2000) in the context of physicians’ intention to adopt Internet-based health applications. Data was collected in a survey of pediatricians to see how well the extended model fits in the medical sector. This chapterdiscusses the implications, limitations, and possible explanations for the inconsistent results found within the model when applied to such professional users as physicians.

Organisational Change and Acceptance

2012 ◽  
pp. 99-118
Author(s):  
Marilyn Wells
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
New Technology ◽  
Organisational Change ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Change Environment ◽  
Change Acceptance ◽  
Change Factors ◽  
Acceptance Model

This chapter reports on the development of the technology acceptance model from 1986 when Davis investigated technology acceptance from an individual’s view as to the ease of use and perceived usefulness of a system. Since then, many variations have been presented in attempts to explain how and what influences a computer system user’s uptake of new technology within an organisation. Whilst all variations were developed explicitly to predict users’ acceptance or rejection of new technology, these variations are in essence predictors of acceptance or rejection of change. Factors such as the organisational change environment and informal communication (rumours), together with social influence as exercised by colleagues should be considered major contributors to the perceptions of new technology and therefore acceptance. This chapter extends the original model to include the variations and proposes that rather than look at technology acceptance in isolation, acceptance of new technology should be viewed as acceptance of change. The author proposes the model Social Influence and Change Acceptance (SICAM) to reflect the inclusion of TAM’s variations in an organizational change context.

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