User acceptance of machine learning models – Integrating several important external variables with technology acceptance model

2021 ◽  
pp. 002072092110052
Author(s):  
Xiaohang Zhang ◽  
Yuan Wang ◽  
Zhengren Li
Keyword(s):  
Machine Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Organizational Factors ◽  
Perceived Usefulness ◽  
Theoretical Research ◽  
Learning Models ◽  
External Variables ◽  
Acceptance Model ◽  
Machine Learning Models

Machine learning models enable data-based decision-making in many areas and have attracted extensive attention. By testing the factors that influence the adoption of machine learning models, this study expands the scope of machine learning models in information technology adoption research. Based on the machine learning background and Technology Acceptance Model, this study integrates the necessary external variables, proposes a research model, and further verifies the validity of the model through the survey of 192 users of machine learning models. The results showed that organizational factors, trust, perceived usefulness, and perceived ease of use are positively correlated with the attitude of machine learning models. Moreover, our findings show that the interpretability of the model has an important positive effect on trust. The factors examined in this study are the basis for the development and use of reliable machine learning models. And it has important practical significance for promoting user adoption of machine learning model. Meanwhile, these theoretical studies also provide a strong literature support for the adoption of machine learning models and fill the theoretical research gap in this field.

scholarly journals Extended Technology Acceptance Model for SPSS Acceptance among Slovenian Students of Social Sciences

Organizacija ◽  
2014 ◽  
Vol 47 (2) ◽  
pp. 116-127 ◽  
Author(s):  
Alenka Brezavšček ◽  
Petra Šparl ◽  
Anja Žnidaršič
Keyword(s):  
Social Sciences ◽  
University Students ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
External Variables ◽  
Acceptance Model ◽  
Model Components

Abstract Background and Purpose - IBM SPSS Statistics is among the most widely used programs for statistical analysis in social sciences. Due to many practical values it is frequently used as a tool for teaching statistical concepts in many social science university programs. In our opinion, motivation to learn and to use SPSS during the studying process plays a significant role in building a positive attitude towards SPSS which influences its usage at the professional level after finishing study. Design/Methodology/Approach - The aim of this paper is the development of the model for analysing the acceptance of the SPSS among university students of social sciences. The model is based on the widely known Technology Acceptance Model (TAM). In addition to the traditional components of the TAM, six external variables were included. The model is tested using the web survey on the university students of social sciences from seven faculties at three Slovenian universities. Results - The evaluation of the questionnaire was performed. Descriptive statistics were calculated. The dependencies among the model components were studied and the significant dependencies were pointed out. Conclusion - The results of the empirical study prove that all external variables considered in the model are relevant, and directly influence both key components of the traditional TAM, ≫Perceived Usefulness≪ and ≫Perceived Ease of Use≪. Therefore, our model is useful to study the adoption and continuous utilization of SPSS among the students of social sciences. The obtained results are useful for educators, and can help them to improve the learning process.

scholarly journals Searching for New Model of Digital Informatics for Human–Computer Interaction: Testing the Institution-Based Technology Acceptance Model (ITAM)

2021 ◽  
Vol 18 (11) ◽  
pp. 5593
Author(s):  
Youngcheoul Kang ◽  
Nakbum Choi ◽  
Seoyong Kim
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Organizational Factors ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
It Adoption ◽  
Perceived Ease Of Use ◽  
Acceptance Model

The fourth industrial revolution has produced new information technology (IT) that is widely used in the healthcare industry. Although the nature of the institution affects IT adoption, the Technology Acceptance Model (TAM), a dominant theory, has dismissed its role and influence. Our research investigates how institutions influence the adoption of new IT by using the Institution-based Technology Acceptance Model (ITAM). We conducted an empirical test by using survey data collected from 300 employees in the public sector. Structural equation modeling was applied to test the proposed hypotheses. The results showed the total effect of institutions on the intention to use new IT is positive and significant. Second, IT adoption is not only affected by external institutions but also by type of institution; the external institution takes a greater role in inducing perceived usefulness, perceived ease of use, and intention to use than does the internal. Third, perceived ease of use and perceived usefulness play mediating roles between institution and IT adoption. Fourth, an alternative expanded model to which more individual and organizational factors were added confirmed the results of the base model. We concluded that institutions have a strong impact on the level of intention for IT use through perceived ease of use and perceived usefulness.

scholarly journals Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications

2020 ◽  
Vol 13 (1) ◽  
pp. 7
Author(s):  
Ivonne Angelica Castiblanco Jimenez ◽  
Laura Cristina Cepeda García ◽  
Maria Grazia Violante ◽  
Federica Marcolin ◽  
Enrico Vezzetti
Keyword(s):  
Virtual Reality ◽  
Technology Acceptance ◽  
Information And Communication Technologies ◽  
Technology Acceptance Model ◽  
Perceived Usefulness ◽  
System Quality ◽  
Tam Model ◽  
External Variables ◽  
E Learning ◽  
Acceptance Model

In recent years information and communication technologies (ICT) have played a significant role in all aspects of modern society and have impacted socioeconomic development in sectors such as education, administration, business, medical care and agriculture. The benefits of such technologies in agriculture can be appreciated only if farmers use them. In order to predict and evaluate the adoption of these new technological tools, the technology acceptance model (TAM) can be a valid aid. This paper identifies the most commonly used external variables in e-learning, agriculture and virtual reality applications for further validation in an e-learning tool designed for EU farmers and agricultural entrepreneurs. Starting from a literature review of the technology acceptance model, the analysis based on Quality Function Deployment (QFD) shows that computer self-efficacy, individual innovativeness, computer anxiety, perceived enjoyment, social norm, content and system quality, experience and facilitating conditions are the most common determinants addressing technology acceptance. Furthermore, findings evidenced that the external variables have a different impact on the two main beliefs of the TAM Model, Perceived Usefulness (PU) and Perceived Ease of Use (PEOU). This study is expected to bring theoretical support for academics when determining the variables to be included in TAM extensions.

scholarly journals Commonly Used External TAM Variables in Virtual Reality, E-Learning and Agriculture Applications: A Literature Review Using QFD as Organizing Framework

2020 ◽  
Author(s):  
Ivonne Angelica Castiblanco Jimenez ◽  
Laura Cepeda Garcia ◽  
Maria Grazia Violante ◽  
Enrico Vezzetti
Keyword(s):  
Virtual Reality ◽  
Literature Review ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Usefulness ◽  
System Quality ◽  
Tam Model ◽  
External Variables ◽  
E Learning ◽  
Acceptance Model

In recent years information and communication technologies (ICT) play a significant role in all aspects of modern society and impact socioeconomic development in sectors as education, administration, business, medical care and agriculture. The benefits of such technologies in agriculture can be appreciated only if farmers use them. In order to predict and evaluate the adoption of these new technological tools, the technology acceptance model (TAM) can be a valid aid. The paper measures the potential acceptance of an e-learning tool designed for EU farmers and agricultural entrepreneurs. Starting from a literature review of the technology acceptance model, by analyzing the most commonly used external variables in the fields of e-learning, Agriculture, and Virtual reality, the analysis shows that computer self-efficacy, individual innovativeness, computer anxiety, perceived enjoyment, social norm, content and system quality, experience and facilitating conditions are the most common determinants addressing technology acceptance. Furthermore, findings evidenced that the external variables have a different impact on the two main beliefs of the TAM Model, Perceived Usefulness (PU) and Perceived Ease of Use (PEOU). This study is expected to bring theoretical support for academics when determining the variables to be included in TAM extensions.

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.

FACTORS AFFECTING THE ADOPTION OF ELECTRONIC MONEY USING TECHNOLOGY ACCEPTANCE MODEL AND THEORY OF PLANNED BEHAVIOR

2019 ◽  
Vol 24 (1) ◽  
pp. 100-113
Author(s):  
Filona ◽  
Misdiyono
Keyword(s):  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Electronic Money ◽  
Factors Affecting ◽  
Acceptance Model

With the rapid growth of information technology, electronic money has played an important and central role in the e-payment. Development of electronic money is able to create a trend less-cash society, which is a society’s behavior using non- cash transactions by utilizing the simplicity offered through electronic transactions. The purpose of this research is to determine the factors affecting the intention to use electronic money. We designed a questionnaire and used it to survey a simple random sampling of people who use of e-money in DKI Jakarta. The actual samples used for the study are 125 respondents. We analyzed the data using Structured Equation Modeling to evaluate the strength of the hypothesized effects. The result of the analysis showed that perceived ease of use has no significant effect on attitudes towards the use of e-money. Perceived ease of use has a significant effect on the perceived usefulness of e-money. Perceived usefulness has no significant effect on the intention to use e-money. Perceived usefulness has a significant effect on attitudes towards the use of e-money. Attitude has a significant effect on the intention to use e-money. Subjective norm has a significant effect on the intention to use e-money. Perceived behavioral control has no significant effect on the intention to use e-money. Keywords: electronic money, technology acceptance model, the theory of planned behavior.

scholarly journals Developing a Healthcare Technology Acceptance Model (H-TAM) for Older Adults with Hypertension

2021 ◽  
pp. 1-21
Author(s):  
Maurita T. Harris ◽  
Wendy A. Rogers
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Self Management ◽  
Healthcare Technology ◽  
Perceived Need ◽  
Healthcare Technologies ◽  
Acceptance Model

Abstract Older adults with a chronic health condition (e.g. hypertension) use various self-management methods. Healthcare technologies have the potential to support health self-management. However, it is necessary to understand the acceptance of these technologies as a precursor to older adults’ adoption and integration into their health plan. Our focus was on the factors older adults with hypertension initially consider when introduced to three new healthcare technologies that might support their health self-management. We compared their considerations for a blood pressure monitor, an electronic pillbox and a multifunction robot to simulate incrementally more complex technologies. Twenty-three participants (aged 65–84) completed four questionnaires and a semi-structured interview. The interview transcripts were analysed using a thematic analysis approach. We identified the factors that were frequently mentioned among the participants for each of the three healthcare technologies. The factors that older adults initially considered were familiarity, perceived benefits, perceived ease of use, perceived need for oneself, relative advantage, complexity and perceived need for others. Upon further reflection, participants considered advice acceptance, compatibility, convenience, facilitating conditions, perceived usefulness, privacy, subjective norm, and trust. We integrated the factors that older adults considered into the Healthcare Technology Acceptance Model (H-TAM), which elucidates the complexity of healthcare technology acceptance and provides guidance for future explorations.

An Application of the Technology Acceptance Model to Individual Protective Measures (IPMs) Against Viruses

2021 ◽  
pp. 0-7:51 minutes
Author(s):  
Matti Haverila ◽  
Salma Husain
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Protective Measures ◽  
Influenza Pandemics ◽  
Environmental Measures ◽  
Acceptance Model

This presentation describes Technology Acceptance Model (TAM) when using individual protective measures (IPMs) against the spreading of viruses like COVID-19. The constructs in TAM are perceived usefulness, and ease of use, attitude towards the use of IPMs and the actual use as well as social influence, which were measured with relevant indicator variables. The statistical method used in the analysis was Partial Least Squares Structural Equation Modelling (PLS-SEM). IPMs include personal protective measures for everyday use (e.g., voluntary home isolation, respiratory etiquette, and hand hygiene); Personal protective measures for influenza pandemics (e.g., voluntary home quarantine, and use of face masks in community settings); and Environmental measures (e.g., routine cleaning of frequently touched surfaces). The results indicate that all relationships were significant also so that the effect sizes were large to medium with the exception of social influence -> perceived usefulness and social influence -> attitude towards usage.

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