Psychological Structure of Human Trust Toward Autonomous Vehicles—Structural Equation Model Including Interpersonal, System Feature, Risk Perception, and Behavioral Intention with Trust

2021 ◽  
Author(s):  
Hyunjae Park ◽  
Hyunjoo Park ◽  
Kyungwon (Kyung) Lee ◽  
Sang-Hwan Kim
Keyword(s):  
Risk Perception ◽  
Structural Equation Model ◽  
Behavioral Intention ◽  
Autonomous Vehicles ◽  
Structural Equation ◽  
Equation Model ◽  
Psychological Structure ◽  
System Feature

scholarly journals The Acceptance of Independent Autonomous Vehicles and Cooperative Vehicle-Highway Autonomous Vehicles

Information ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 346
Author(s):  
Shuang Zhang ◽  
Peng Jing ◽  
Gang Xu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Structural Equation Model ◽  
Autonomous Vehicles ◽  
Structural Equation ◽  
Autonomous Driving ◽  
Equation Model ◽  
Use Of Technology ◽  
Artificial Neural ◽  
Input Variables

The public’s acceptance of independent autonomous vehicles and cooperative vehicle-highway autonomous vehicles is studied by combining the structural equation model and an artificial neural network. The structural equation model’s output variables are used as the input variables of the artificial neural network, which compensates for the linear problem of the structural equation model and ensures the accuracy of the input variables of the artificial neural network. In order to summarize the influencing factors of autonomous vehicles acceptance, the Unified Theory of Acceptance and Use of Technology model was expanded by adding two variables: risk expectation and consumer innovation. The results show that social influence is the strongest predictor of the acceptance of independent autonomous vehicles. The most significant factor of the cooperative vehicle-highway autonomous vehicles’ acceptance is effort expectation. Additionally, risks, performance, existing traffic conditions, and personal innovation awareness also significantly affect autonomous driving acceptance. The research results can provide a theoretical basis for technology developers and industry managers to develop autonomous driving technology and policymaking.

scholarly journals Pengaruh Social Influence Terhadap Behavioral Intention Penggunaan Marketplace Pada UMKM Di Kota Bandung

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Nurhalimah Nurhalimah
Keyword(s):  
Social Influence ◽  
Structural Equation Model ◽  
Behavioral Intention ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Equation Model ◽  
Unified Theory ◽  
Use Of Technology

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh social influence (Pengaruh Sosial) terhadap behavioral intentions (minat pemanfaatan) pengguna Marketplace di Kota Bandung. Penelitian ini menggunakan teori Model Unified Theory of Acceptance and use of Technology (UTAUT). Metode pengumpulan data yang digunakan dalam penelitian ini dilakukan dengan cara menyebarkan kuesioner pada 400 orang UMKM yang telah menggunakan  aplikasi Marketplace. Penelitian ini menggunakan pendekatan Kuantitatif dengan medote asosiatif kasual yaitu metode yang digunakan untuk mengetahui ada dan tidaknya pengaruh variabel bebas terhadap variabel terikat, teknik analisis data menggunakan Metode statistic Multivariate Structural Equation Model (SEM). Berdasarkan penelitian ini variabel dependen dipengaruhi oleh variabel independen. Hasil penelitian ini menunjukan Pengaruh Social Influence terhadap Behavioral Intention penggunaan Marketplace pada UMKM di Kota Bandung yaitu sebesar 0.897 dan dari semua variabel independen mempunyai pengaruh secara simultan terhadap variabel dependen sebesar 173.596. Pengguna Marketplace perlu lebih meningkatkan sosialisasi kepada masyarakat khususnya UMKM dan memberikan pemahaman bahwa dengan menggunakn Marketplace dapat lebih meningkatkan bisnis mereka.

scholarly journals PENGARUH TRUST DAN SERVICE CONVENIENCE TERHADAP BEHAVIORAL INTENTION TO UTILIZE LAYANAN ONLINE LEMBAGA AMIL ZAKAT

2020 ◽  
Vol 7 (9) ◽  
pp. 1831
Author(s):  
Muhammad Syifa ◽  
Ririn Tri Ratnasari
Keyword(s):  
Structural Equation Model ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Online Service ◽  
Online Services ◽  
Digital Era ◽  
Service Convenience

ABSTRAKDalam era digital seperti sekarang ini teknologi berkembang sangat pesat, jumlah dari pengguna layanan online pun setiap tahun terus berkembang tak terkecuali pun Lembaga Amil Zakat terus berinovasi agar tetap survive di era digital seperti sekarang ini. Peneliti ingin menjelaskan serta menggambarkan apakah faktor yang mempengaruhi melalui trust dan service convenience terhadap behavioral intention to utilize layanan online Lembaga Amil Zakat yang disebarkan melalui kuesioner online dengan karakteristik responden beragama islam, laki-laki dan perempuan berumur 18 tahun keatas, dan pernah memanfaatkan layanan online Lembaga Amil Zakat. Berdasarkan data yang didapat penulis mendapatkan 184 responden, tetapi diantara 184 responden tersebut peneliti hanya menggunakan 100 responden karena 84 responden lain tidak valid. Metode analisis yang digunakan yaitu menggunakan Structural Equation Model (SEM) dan Partial Least Square (PLS).Kata Kunci: Service Convenience, Trust, Behavioral Intention to Utilize ABSTRACTIn the digital era as now, technology is developing very rapidly, the number of online service users continues to grow every year, even though the Amil Zakat Institute continues to innovate in order to continue to survive in the digital era as it is today. The researcher wants to explain and illustrate whether the factors that influence through trust and service convenience towards behavioral intention to utilize online services of the Amil Zakat Institution are distributed through online questionnaires with the characteristics of Muslim respondents, men and women aged 18 years and over, and have used online services. Amil Zakat Institution. Based on the data obtained by the author to get 184 respondents, but among these 184 respondents, researchers only used 100 respondents because 84 other respondents were invalid. The analytical method used is the Structural Equation Model (SEM) and Partial Least Square (PLS).Keywords: Service Convenience, Trust, Behavioral Intentions to Utilize

scholarly journals Analyzing E-Bikers’ Risky Riding Behaviors, Safety Attitudes, Risk Perception, and Riding Confidence with the Structural Equation Model

2020 ◽  
Vol 17 (13) ◽  
pp. 4763
Author(s):  
Tao Wang ◽  
Sihong Xie ◽  
Xiaofei Ye ◽  
Xingchen Yan ◽  
Jun Chen ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Risk Perception ◽  
Structural Equation Model ◽  
Exploratory Factor Analysis ◽  
Traffic Management ◽  
Structural Equation ◽  
Equation Model ◽  
Safety Attitudes ◽  
Safety Attitude ◽  
Electric Bike

To identify and quantify the factors that influence the risky riding behaviors of electric bike riders, we designed an e-bike rider behavior questionnaire (ERBQ) and obtained 573 valid samples through tracking surveys and random surveys. An exploratory factor analysis was then conducted to extract four scales: riding confidence, safety attitude, risk perception, and risky riding behavior. Based on the exploratory factor analysis, a structural equation model (SEM) of electric bike riding behaviors was constructed to explore the intrinsic causal relationships among the variables that affect the risky e-bike riding behavior. The results show that the relationship between riding confidence and risky riding behavior is mediated by risk perception and safety attitudes. Safety attitude was found to be significantly associated with risky riding behaviors. Specifically, herd mentality is most closely related to safety attitudes, which means that those engaged in e-bike traffic management and safety education should pay special attention to riders’ psychological management and education. Risk perception has a direct path to risky riding behaviors. Specifically, stochastic evaluation and concern degree are significantly related to e-bike riders’ risk perception. The findings of this study provide an empirical basis for the creation of safety interventions for e-bike riders in China.

Perception of tap water risks and quality: a structural equation model approach

2005 ◽  
Vol 52 (8) ◽  
pp. 143-149 ◽  
Author(s):  
M. de Franca Doria ◽  
N. Pidgeon ◽  
P. Hunter
Keyword(s):  
Risk Perception ◽  
Structural Equation Model ◽  
Perceived Risk ◽  
Structural Equation ◽  
Tap Water ◽  
Health Problems ◽  
Equation Model ◽  
External Information ◽  
Contextual Indicators ◽  
Water Taste

The present study aims to test a model of tap water risk and quality perception. A questionnaire was designed and applied to a convenience sample of 499 people in Portugal. The model includes aesthetic variables (colour, odour, and flavour), contextual indicators and risk perception. Other variables were also considered, including external information, trust in water companies, familiarity with tap water, and past water-related health problems. A behavioural outcome – drinking tap water – was also studied. Due to multivariate non-normality (Mardia's Coefficient (G2,P) = 460.3), the AGLS estimator was used for the structural equation model (SEM). A triangulation approach with multivariate regression analysis was used to explain the use of tap water to drink and to propose a more holistic model that could not be tested using SEM. Results show that perceived water quality is largely influenced by flavour. Other factors, such as perceived risk and contextual indicators, also have a role but their relevance is relatively weak. On the other hand, risk perception seems to be mainly a result of external information, past health problems, and water colour. Finally, the use of tap water to drink at home can be moderately explained and depends mostly on the ability to use alternatives (i.e. bottled water), tap water taste, and perceived risk.

scholarly journals Volunteers' Behavioral Intention in Non-profit Organizations Strategy: A Structural Equation Model

2016 ◽  
Vol 2016 (1) ◽  
pp. 12995 ◽  
Author(s):  
Lamberto Zollo ◽  
Guglielmo Faldetta ◽  
Massimiliano Matteo Pellegrini ◽  
Cristiano Ciappei
Keyword(s):  
Structural Equation Model ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Model ◽  
Non Profit ◽  
Non Profit Organizations
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