scholarly journals Motivation, Social Emotion, and the Acceptance of Artificial Intelligence Virtual Assistants—Trust-Based Mediating Effects

2021 ◽  
Vol 12 ◽  
Author(s):  
Shiying Zhang ◽  
Zixuan Meng ◽  
Beibei Chen ◽  
Xiu Yang ◽  
Xinran Zhao
Keyword(s):  
Artificial Intelligence ◽  
Technology Acceptance ◽  
Bootstrap Method ◽  
Mediating Effects ◽  
Multilevel Regression ◽  
Social Emotions ◽  
Social Emotion ◽  
Acceptance Model ◽  
The Relationship ◽  
The Bootstrap Method

The complexity of the emotional presentation of users to Artificial Intelligence (AI) virtual assistants is mainly manifested in user motivation and social emotion, but the current research lacks an effective conversion path from emotion to acceptance. This paper innovatively cuts from the perspective of trust, establishes an AI virtual assistant acceptance model, conducts an empirical study based on the survey data from 240 questionnaires, and uses multilevel regression analysis and the bootstrap method to analyze the data. The results showed that functionality and social emotions had a significant effect on trust, where perceived humanity showed an inverted U relationship on trust, and trust mediated the relationship between both functionality and social emotions and acceptance. The findings explain the emotional complexity of users toward AI virtual assistants and extend the transformation path of technology acceptance from the trust perspective, which has implications for the development and design of AI applications.

scholarly journals Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior

2021 ◽  
Author(s):  
Svenja Mohr ◽  
Rainer Kühl
Keyword(s):  
Artificial Intelligence ◽  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Planned Behavior ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Perceived Behavioral Control ◽  
Labor Costs ◽  
Online Questionnaire ◽  
Acceptance Model

AbstractThe use of Artificial Intelligence (AI) in agriculture is expected to yield advantages such as savings in production resources, labor costs, and working hours as well as a reduction in soil compaction. However, the economic and ecological benefits of AI systems for agriculture can only be realized if farmers are willing to use them. This study applies the technology acceptance model (TAM) of Davis (1989) and the theory of planned behavior (TPB) of Ajzen (1991) to investigate which behavioral factors are influencing the acceptance of AI in agriculture. The composite model is extended by two additional factors, expectation of property rights over business data and personal innovativeness. A structural equation analysis is used to determine the importance of factors influencing the acceptance of AI systems in agriculture. For this purpose, 84 farmers were surveyed with a letter or an online questionnaire. Results show that the perceived behavioral control has the greatest influence on acceptance, followed by farmers’ personal attitude towards AI systems in agriculture. The modelled relationships explain 59% of the total variance in acceptance. Several options and implications on how to increase the acceptance of AI systems in agriculture are discussed.

scholarly journals Technology Acceptance of QR Code Payment and Its Effective Advertisement Media for Multi-Channel Customers

2021 ◽  
Vol 12 (4) ◽  
pp. 84-91
Author(s):  
Michiko Miyamoto ◽  
◽  
Yuji Kudo
Keyword(s):  
Technology Acceptance ◽  
Survey Data ◽  
Technology Acceptance Model ◽  
Structure Equation ◽  
Qr Code ◽  
Payment Reform ◽  
Actual Usage ◽  
Equation Analysis ◽  
Acceptance Model ◽  
The Relationship

Cash settlement accounts for 80% of entire transaction in Japan. Japanese government has announced the “Payment Reform Declaration,” by setting “the Cashless Vision” with a target of 40% cashless payment ratio by 2025 and aims to achieve the world's highest level of cashless payment ratio of 80% in the future. The purpose of this study is to analyze which media has affected the consumers who use QR code payment, PayPay. This research proposes a framework based on the Technology Acceptance Model (TAM) for an effective advertisement medium by using survey data on PayPay. Structure equation analysis is conducted to measure the relationship between different advertising media and consumers’ intentions to use, as well as actual usage of PayPay.

scholarly journals EARLY STUDY OF TEACHING & LEARNING ADAPTION BY USING MULTIMEDIA IN TEXT LEARNING OF SULALATUS SALATIN

2021 ◽  
Vol 3 (8) ◽  
pp. 167-181
Author(s):  
Nurul Shuhada Abdul Aziz ◽  
Norazimah Zakaria
Keyword(s):  
Technology Acceptance ◽  
Student Attitudes ◽  
Teaching And Learning ◽  
Text Learning ◽  
The Third ◽  
Teacher Skills ◽  
Students Attitudes ◽  
Acceptance Model ◽  
Teaching Learning ◽  
The Relationship

This study aims to examine the use of multimedia in teaching and learning (PdP) Sulalatus Salatin in form six. The objective of this study is to identify the use of multimedia in PdP Sulalatus Salatin in terms of types, tools used, teacher skills, and curriculum needs. The second objective is to study students 'attitudes towards the use of multimedia in Sulalatus Salatin learning and the third to analyze the relationship between multimedia use in PdPc with students' understanding of Sulalatus Salatin text using the Technology Acceptance Model (TAM). The researcher distributed a set of questionnaire questions containing 36 questions that were closed to 30 forms six students at a school in the district of Kuala Kangsar, Perak. The findings show that the main reason for the use of multimedia in PdP Sulalatus Salatin in terms of multimedia type, tools used, teacher skills, and curriculum needs is because the use of LCD screen causes the text to appear larger and clearer with a mean score of 4.433 (sd = 0.8976). For the second objective, the two most dominant student attitudes with a mean score of 4,400 that is with the use of multimedia, writing in the text of Sulalatus Salatin is clearer and easier to read (sd = 0.7701), while students are actively involved during the teaching of Sulalatus Salatin text (sd = 0.8944). Next, for the third objective, the relationship between the use of multimedia with the highest level of students' understanding of Sulalatus Salatin text is that students are easier to read and understand the synopsis on Sulalatus Salatin text with a mean score of 4,600 (sd = 0.6215). In conclusion, this study was implemented to provide exposure to the advantages of multimedia used by teachers while teaching Sulalatus Salatin text in form six.

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.

PATH ANALYSIS BETWEEN CONSTRUCTS OF TECHNOLOGY ACCEPTANCE MODEL (TAM) (A CASE STUDY ON RECEIPT OF VIRTUAL ARMS SOLUTION FTS D - 423 IN INDONESIAN EASTERN FLEET TRAINING COMMAND)

JOURNAL ASRO ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 101
Author(s):  
Ikhwan Syahtaria ◽  
Ahmadi Ahmadi ◽  
Bambang Suharjo ◽  
Pius Herdasa Krisna Murti
Keyword(s):  
Path Analysis ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Ease Of Use ◽  
Use Of Technology ◽  
Computer Based ◽  
Acceptance Model ◽  
The Relationship

Indonesian Eastern Fleet Training Command currently has the facilities to train professional soldiers in the shooting.A simulator facility in the form of computer-based clinic shooting is called Virtual Arms Solution FTS D-423 (VAS).Need to analyse the relationship between perceived ease of use and usefulness of VAS in order to determine thelevel of acceptance. Both these factors are modelled by the Technology Acceptance Model (TAM) which canexplain the factors that influence the actual receipt of the use of technology. After that, the relationship between thetwo factors that have been modelled with the Technology Acceptance Model to be treated using Path Analysis(Path Analysis). Where the path analysis was used to analyse the causal relationships between variables in order todetermine the effect of the direct and indirect causes of the variable to a variable result. Based on the analysis anddiscussion, it is obtained as follows that the ease and usefulness of a positive effect on Attitude using VAS positiveeffect on Behavioural Intention using VAS. Behavioural intentions affect the Actual Usage.Keywords: Virtual Arms Solution, Technology Acceptance Model, Path Analysis.

Influencing Factors and the Acceptance of Internet and E-Business Technologies in Maritime Canada's SMEs

2010 ◽  
pp. 168-185
Author(s):  
Mahmud Akhter Shareef ◽  
Yogesh K. Dwivedi ◽  
Michael D. Williams ◽  
Nitish Singh
Keyword(s):  
Technology Acceptance ◽  
Policy Making ◽  
Business Owners ◽  
Organizational Readiness ◽  
Management Support ◽  
Intent To Use ◽  
Internet Business ◽  
Acceptance Model ◽  
The Relationship ◽  
Relevant Factors

This chapter examines the influence of some relevant factors on the acceptance of internet and E-Business technologies in Maritime Canada’s SMEs (small- and medium- sized enterprises). To examine the influence of the factors, a research framework was developed and nine hypotheses formulated to test the various relationships. A survey was conducted and a total of 162 valid responses were obtained from mainly business owners and managers. The data supported five out of the nine hypotheses formulated. The key findings are as follows: The sampled SME’s organizational readiness is positively related to their intent to use Internet/business technologies (dependant variable); the two constructs of the technology acceptance model (TAM) were found to be important mediators in the relationship between the management support construct and the dependant variable. Further, no evidence was found to suggest that management support positively influences the intent to use Internet/ business technologies among Maritime Canada’s SMEs. The implications of the study’s findings for policy making and research were discussed.

Adoption of Financial Technology in Islamic Crowd-Funding

2020 ◽  
pp. 12-35 ◽  
Author(s):  
Maizaitulaidawati Md Husin ◽  
Razali Haron ◽  
Shahab Aziz
Keyword(s):  
Technology Acceptance ◽  
Sampling Technique ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Primary Data ◽  
Perceived Ease Of Use ◽  
Kuala Lumpur ◽  
Central Hypothesis ◽  
Acceptance Model ◽  
The Relationship

The purpose of this chapter is to examine the factors that influence small and medium-sized enterprises' (SMEs) intentions to use the investment account platform (IAP) based on technology acceptance model (TAM). The central hypothesis for this chapter was that SMEs' intentions to use IAP were a result of perceived usefulness and perceived ease of use. This chapter also suggested that perceived ease of use and intention was mediated by perceived usefulness of the IAP. Using primary data collection method, 163 questionnaires were collected from SMEs in Kuala Lumpur, Malaysia using the purposive sampling technique. The data were analysed using SPSS and SmartPLS. The chapter found that perceived ease of use had significant influences on SMEs intention to use the IAP while perceived ease of use significantly affected perceived usefulness and the relationship between perceived ease of use and intention was mediated by perceived usefulness of the IAP. The results of this chapter suggested strategies to promote the platform as a fund seeking platform for SMEs.

Investigation into Factors that Influence the Use of the Web in Knowledge-Intensive Environments

2002 ◽  
pp. 135-144
Author(s):  
Yong Jin Kim ◽  
H. Raghav Rao ◽  
Abhijit Chaudhury
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
New Technologies ◽  
Organizational Factors ◽  
External Variable ◽  
Knowledge Intensive ◽  
Acceptance Model ◽  
The University ◽  
The Relationship ◽  
The Web

The paper develops a set of hypotheses regarding the relationship between the TAM (Technology Acceptance Model) constructs and external variables such as individual differences, organizational factors, and risk factors. It uses TAM as a basis to hypothesize the effects of each external variable on the use of the Web as knowledge-transfer tool in the university context. The sample of this study will be professors in a university. The contributions of this chapter are twofold. First of all, this study may give an insight regarding the question of when and who is an eager user of new technologies for learning. Secondly, this chapter is the first one to use technology acceptance model in the context of knowledge-management systems.

Antecedents to consumers’ showrooming behaviour: an integrated TAM-TPB framework

2018 ◽  
Vol 35 (4) ◽  
pp. 438-450 ◽  
Author(s):  
Sourabh Arora ◽  
Sangeeta Sahney
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Content Type ◽  
Selective Sampling ◽  
Product Choices ◽  
Initial Move ◽  
Acceptance Model ◽  
The Relationship ◽  
Practical Implications

Purpose The purpose of this study is to propose an integrated framework utilizing the theory of planned behaviour (TPB) and technology acceptance model (TAM) to augment the understanding on consumers’ showrooming behaviour. Design/methodology/approach Selective sampling was used for data collection. The integrated TAM-TPB framework led to 12 propositions, which were tested using partial least squares-structural equation modelling. Findings Both perceived relative search benefits offline and relative purchase benefits online significantly determined the consumers’ showrooming behaviour along with perceived ease purchasing online and the overall usefulness of the showrooming sequence. Results of the study revealed that the showrooming sequence helped consumers avoid the regret of making suboptimal product choices and paying a higher price for the same product. Online trust was found to partially mediate the relationship between consumers’ intention to showrooming and the actual showrooming behaviour. Research limitations/implications Notwithstanding the fact that further research is required to arrive at definitive conclusions, this study is an initial move towards understanding the consumers’ showrooming behaviour, and the research provides meaningful insights. Practical implications As showrooming substantially erodes profits, devising strategies to defend showrooming customers becomes crucial. The findings of the study provide the basis for formulating strategies to counter showrooming customers. Originality/value The paper is amongst the first studies which helps enhance the understanding of consumers’ showrooming behaviour, which is an emerging area in the present multi-channel retailing environment.

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