scholarly journals Is It Possible to Measure Online Purchasing Intention Trough Technology Acceptance Models?

2020 ◽  
pp. 1-15
Author(s):  
G.P.H. KANDAMBI ◽  
W.M.J.I. WIJAYANAYAKA
Keyword(s):  
Technology Acceptance ◽  
New Technologies ◽  
Purchasing Intention ◽  
Technology Acceptance Models

Technology acceptance theories are mainly focused on measuring the acceptability of new technologies and empirically tested through employees in an organization. Currently, these technology acceptance theories are used by researchers to measure the online purchasing intention. However, those theories were directly focused on the technological components, ignoring retailers, customers, media and most other macro components engaged in the online purchasing.

scholarly journals Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection

2021 ◽  
Vol 13 (21) ◽  
pp. 11718
Author(s):  
Wasapon Thanabodypath ◽  
Achara Chandrachai ◽  
Sudkate Chaiyo ◽  
Orawon Chailapakul
Keyword(s):  
Heavy Metal ◽  
Technology Acceptance ◽  
Manufacturing Industry ◽  
Business Models ◽  
New Technologies ◽  
Binary Logistic Regression ◽  
Innovation Adoption ◽  
Toxic Heavy Metal ◽  
Technology Acceptance Models ◽  
Behavior Theories

Smartphone-Based Electrochemical Analytical Devices (SEAD) enable sophisticated toxic heavy metal quantification experiments to be conducted anywhere with high precision, selectivity, and sensitivity. However, a very limited number of such technologies are able to make the transition from the lab to the competitive B2B marketplace. The purpose of this paper is to examine the factors influencing SEAD adoption in the manufacturing industry using the Industrial Buyer Innovation Adoption (IBIA) model, which integrates B2B consumer behavior theories and technology acceptance models from the past 50 years. Analysis of data collected from 400 corporations in Thailand revealed that sellers, buyers, internal organization and invented technology advantage variables predicted industrial innovation adoption based on binary logistic regression. This research contributes to the understanding of SEAD transition from scientific knowledge to sustainable technology and diffusible innovation. The ambitious IBIA framework is potentially an alternative managerial tool for holistically assessing and creating adoptable innovative business models for new technologies.

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 Blockchain Technology for Winning Consumer Loyalty: Social Norm Analysis Using Structural Equation Modeling

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 532
Author(s):  
María de los Ángeles Pérez-Sánchez ◽  
Zhuowei Tian ◽  
Almudena Barrientos-Báez ◽  
José Gómez-Galán ◽  
Hanliang Li
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Social Exchange ◽  
Local Governments ◽  
Structural Equation ◽  
Social Norm ◽  
New Technologies ◽  
Equation Modeling ◽  
Consumer Loyalty ◽  
Blockchain Technology

Remarkable changes have taken in social operation mode and consumers’ behavior mode because of the foot ban during the pandemic spread of COVID-19. Digital technologies such as Blockchain have shown potential in gaining competitive advantages for enterprises in such situations. This study aims to provide an insight into how to gain consumer loyalty through the use of modern and efficient Blockchain technology. In contrast to the current literature, this study combined the technology acceptance model of planned behavior theory, social exchange theory to explain the loyalty of an online travel agency (OTA) consumer. A self-administered questionnaire was used to collect data from citizens in Hangzhou, a city full of technological innovation atmosphere. Using structural equation modeling with SmartPLS©, responses from 1403 citizens were analyzed. Social norm was discovered to have a positive and significant association with the consumers’ attitude toward technology and thus enhancing the perceived usability and hedonism of OTA application, which can increase consumer loyalty. The findings suggested OTAs may gain consumers’ loyalty through adopting Blockchain technology, and local governments have played a key role in creating such an environment. New technologies have become essential professional and social tools for society. The technological environment and Blockchain within the tourism sector are fundamental elements of China’s economic engine.

scholarly journals How customers’ offline experience affects the adoption of online banking

2016 ◽  
Vol 26 (5) ◽  
pp. 1072-1092 ◽  
Author(s):  
Antonia Estrella-Ramon ◽  
Manuel Sánchez-Pérez ◽  
Gilbert Swinnen
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Financial Services ◽  
New Technologies ◽  
Online Banking ◽  
Adoption Process ◽  
Content Type ◽  
Parametric Survival Model ◽  
Self Service Technology ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of customers’ offline transaction behaviour in the form of loyalty and cross-buying on the adoption of self-service technology innovations by non-business customers in the context of online banking. Design/methodology/approach This study extends the Diffusion of Innovation Theory, as well as the Technology Acceptance Model adapted to describe and model individual customer observed behaviours in the pre-adoption stage of the adoption process. The Log-logistic parametric survival model is applied using panel data for 1,357 randomly selected new customers from a bank. Findings Significant differences arise among customers’ behaviours related to periodicity of interactions with the bank and quantity of products involved in the interactions, as well as convenience and risk of the interactions. The results corroborate that those customers who are more likely to adopt the online banking faster show an offline behavioural pattern more related to higher periodicity of interactions and convenience, rather than a high number of products involved in their interactions, the use of high-risk products or the maintenance of a higher average monthly liabilities. Originality/value While previous research explaining the process of adoption of the online channel has mainly focused on the analysis of customers’ attitudes (i.e. customers’ perceptions) and demographics, in this research an additional explanation is proposed using customers’ offline transaction behaviours. In addition, there is a considerable amount of research about the adoption of new technologies, but there is a scarcity of studies looking specifically at the financial services and banking industry.

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 Investigation of moderator factors in e-business adoption: A quantitative meta-analysis of moderating effects on the drivers of intention and behavior

2017 ◽  
Vol 14 (1) ◽  
pp. 75-102 ◽  
Author(s):  
Bostjan Sumak ◽  
Marjan Hericko ◽  
Zoran Budimac ◽  
Maja Pusnik
Keyword(s):  
Technology Acceptance ◽  
New Technologies ◽  
Causal Effect ◽  
Meta Analysis ◽  
Moderating Effect ◽  
Factors Affecting ◽  
Adoption Research ◽  
Acceptance Model ◽  
Almost All ◽  
Business Technology

E-business technology is becoming one of the most important global markets where e-business solutions will have to adapt to new technologies. The main objective in this study was to synthesize existing knowledge in the field of e-business technology acceptance and to understand differences in Technology Acceptance Model (TAM) related causal effect sizes for different e-business contexts. A quantitative meta-analysis of existing empirical research about factors affecting e-business adoption was conducted using 89 published papers that provided empirical data about causal relationships. A moderator analysis was carried out to investigate the moderating effect of four factors: consumer type, device type, continent and respondent type. The results of the study showed a moderating effect for all four proposed factors in almost all TAM-related causal paths. The study also showed that TAM is the most common theory being applied in e-business adoption research.

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.

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