On-line Consumer Behavior and Technology Acceptance Models

2021 ◽  
pp. 37-46
Author(s):  
Giovanni Mattia ◽  
Alessio Di Leo ◽  
Ludovica Principato
Keyword(s):  
Consumer Behavior ◽  
Technology Acceptance ◽  
Technology Acceptance Models ◽  
On Line

A Theoretical and Empirical Reflection on Technology Acceptance Models for Autonomous Delivery Robots

2021 ◽  
Author(s):  
Anna M. H. Abrams ◽  
Pia S. C. Dautzenberg ◽  
Carla Jakobowsky ◽  
Stefan Ladwig ◽  
Astrid M. Rosenthal-von der Pütten
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Models

scholarly journals Alignment Between Technology Acceptance And Instructional Design via Self-Efficacy

2019 ◽  
Vol 23 (1) ◽  
pp. 7-16
Author(s):  
Robert J. Mills ◽  
Matthew E. Harris
Keyword(s):  
Instructional Design ◽  
Technology Acceptance ◽  
First Principles ◽  
Self Efficacy ◽  
Design Theory ◽  
New Technology ◽  
First Principles Of Instruction ◽  
External Variable ◽  
Technology Acceptance Models ◽  
Kirkpatrick’S Model

As organizations continue to implement new technology solutions, the need for both technology training and examining technology acceptance of new implementations are necessary to determine the success or failure of a project. Unfortunately, instructional design considerations generally do not address technology acceptance, and leading technology acceptance models only classify training as an external variable or facilitating condition, with limited consideration in prior research. In this paper, we examine potential integration points between instructional design theory and technology acceptance. Specifically, we examine prior research on self-efficacy, Kirkpatrick’s Model for Evaluating Training, Merrill’s Component Display Theory, and Merrill’s First Principles of Instruction.

scholarly journals DAMPAK PERILAKU KONSUMEN TERHADAP PENGGUNAAN AKSES SITUS ON-LINE SHOP (STUDI KASUS PADA MAHASISWA DI UNIVERSITAS PANCASAKTI TEGAL)

2018 ◽  
Vol 1 (2) ◽  
pp. 148
Author(s):  
Agnes Dwita Susilawati ◽  
Dewi Apriani Fr
Keyword(s):  
Data Analysis ◽  
Consumer Behavior ◽  
Consumer Satisfaction ◽  
Human Life ◽  
The Internet ◽  
Chi Square ◽  
Cultural Economic ◽  
Good Communication ◽  
On Line ◽  
The Right

<p>ABSTRACT</p><p><br />The development of information technology has touched various joints of human life, especially the development of the internet. The development of the internet forms a new world where every individual has the right and ability to interact with other individuals indefinitely. The objectives of the research are (1) The influence of service quality on consumer satisfaction in accessing online shop website, (2) To know the influence of attitude and trust toward online shop shop user and (3) Influence of satisfaction to consumer loyalty online shop. Data analysis method used is included in the category of quantitative data analysis is a data analysis using statistical instruments. Statistical instruments used are Chi Square Test and performed using SPSS (Statistical Package For Social Science) software. The results of model fit testing showed that the four factors (cultural, economic, social and ethical) that have the most contigency coefficient on consumer behavior in accessing online shop site are Social variables. This means showing a group of people or individuals having a relationship between consumers with each other in choosing products through an online shop site and building good communication in choosing products and knowing the risks faced when buying products through online shop site.</p><p>Keywords: Consumer Behavior, Use of On-Line Website Access Shop</p>

Expanding Seniors’ Mobility through Phone Apps: Potential Responses from the Private and Public Sectors

2018 ◽  
Vol 40 (4) ◽  
pp. 405-415 ◽  
Author(s):  
Manish Shirgaokar
Keyword(s):  
Qualitative Methods ◽  
Technology Acceptance ◽  
Social Exclusion ◽  
Transportation Network ◽  
Ease Of Use ◽  
Transportation Services ◽  
Technology Acceptance Models ◽  
Private And Public ◽  
Public Sectors ◽  
Self Driving Cars

Seniors (over 64 years) are a growing demographic. Some seniors risk social exclusion given the lack of transportation options. Using qualitative methods, I investigate how transportation network company (TNC) services such as Lyft and Uber present an alternative for seniors’ mobility in comparison to taxis. I use technology acceptance models as a lens and explore the challenges that TNC services present for seniors. This analysis suggests that emerging transportation services—including self-driving cars—may present a boon for seniors if stakeholders from the private and public sectors can increase the ease of use of these new forms of mobility.

Artificial intelligence in psychology: How can we enable psychology students to accept and use artificial intelligence?

2021 ◽  
pp. 147572572110371
Author(s):  
Sabrina Gado ◽  
Regina Kempen ◽  
Katharina Lingelbach ◽  
Tanja Bipp
Keyword(s):  
Artificial Intelligence ◽  
Technology Acceptance ◽  
Human Perception ◽  
Psychology Students ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Technology Acceptance Models ◽  
Psychological Training ◽  
Acceptance Model ◽  
And Behavior

Psychologists with their expertise in statistics and regarding human perception and behavior can contribute valuable insights to the development of innovative and useful artificial intelligence (AI) systems. Therefore, we need to raise attention and curiosity for AI and foster the willingness to engage with it among psychology students. This requires identifying approaches to integrate a general understanding of AI technology into formal psychological training and education. This study investigated to what extent psychology students currently accept and use AI and what affects their perception and usage. Therefore, an AI acceptance model based on established technology acceptance models was developed and tested in a sample of 218 psychology students. An acceptable fit with the data was found for an adapted version. Perceived usefulness and ease of use were most predictive for the students’ attitude towards AI; attitude itself, as well as perceived usefulness, social norm, and perceived knowledge, were predictors for the intention to use AI. In summary, we identified relevant factors for designing AI training approaches in psychology curricula. In this way, possible restraints regarding the use of AI can be reduced and its beneficial opportunities exploited in psychological contexts.

M-Government for Emergency Notifications

2019 ◽  
pp. 781-798
Author(s):  
Rhoda C. Joseph ◽  
Roderick L. Lee
Keyword(s):  
Emergency Management ◽  
Technology Acceptance ◽  
Technology Use ◽  
Well Being ◽  
Information And Communications Technologies ◽  
User Perceptions ◽  
The Public ◽  
Situational Characteristics ◽  
Technology Acceptance Models ◽  
Emergency Notifications

This study examines the use of mobile devices for the delivery of emergency notifications to end users from a mobile government (m-government) perspective. The study is informed by the task-technology fit model, technology acceptance models, and the literature on emergency management. Our findings indicate that the task, technology, behavioral, and to a lesser extent situational characteristics affect the use of m-government for the delivery of emergency notifications. Additional themes of equity and dependence emerge as relevant to user perceptions. This paper contributes to the m-government literature by examining and presenting findings relevant to emergency management and provides insights on the user perceptions of m-government for emergency notifications. This study also has implications for all levels of government including local, state, and federal. Lastly, as mobile technology use grows in the public domain this type of study advances the goal of using information and communications technologies (ICTs) to benefit human well-being.

Green Consumer Behaviour

2020 ◽  
pp. 240-248
Author(s):  
Muhammad Farooq Akhtar ◽  
Norazah Mohd Suki
Keyword(s):  
Consumer Behavior ◽  
Technology Acceptance ◽  
Textile Industry ◽  
Human Life ◽  
Well Being ◽  
Green Marketing ◽  
Extended Model ◽  
Climate Action ◽  
Acceptance Model ◽  
Textile Sector

Environment preservation is a global concern. Textile industry disposes of chemicals which effects environment and human life (water borne diseases). United Nations develops 17 Sustainable Development Goals (UNSDG's) to protect environment. Five SDG's addressing textile industry namely good health and well-being, clean water and sanitation, responsible production and consumption, climate action and life below water. Role of textile industry to achieve SDG's is inevitable. Textile policy of Pakistan 2014-19 confirms that international buyer is concerned about the environment which evidently shows potential of green marketing in textile sector of Pakistan. Green marketing encourages environment friendly marketing practices (product, price, place, promotion). The objective of this study is to integrate the theory of planned behavior and technology acceptance model. Green consumer behavior of textile sector of Pakistan is conceptualized with this extended lens. This study enhances the body of knowledge by conceptualizing green consumer behavior of textile sector through extended model. Practically, this study remains beneficial for marketing professionals and researchers to understand green consumer behavior of textile sector. Success of green marketing is the success of society to curb environmental problems.

Business Process Reengineering of Digital Learning Ecosystems

2022 ◽  
pp. 123-141
Author(s):  
Heru Susanto ◽  
Fadzliwati Mohiddin ◽  
Leu Fang-Yie ◽  
Muhammad Syamim Sanip ◽  
Alifya Kayla Shafa Susanto ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Self Efficacy ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Digital Learning ◽  
Perceived Ease Of Use ◽  
Technology Acceptance Models ◽  
Higher Institution ◽  
E Learning

This study was conducted to investigate e-learning acceptance and factors influencing higher institution students in Brunei Darussalam. Among the factors involved in this study were perceived ease of use, perceived usefulness, self-efficacy, technology availability, and usage and intention to use. Technology acceptance models (TAM) were used as a basis for the study and for hypothesizing the effects of such variables on the use of e-learning. The findings of this study found that there is significant influence of self-efficacy to perceived ease of use and perceived usefulness while perceived ease of use has direct impact to perceived usefulness and perceived usefulness has influence on intention to use towards e-learning systems.

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