Augmenting the Technology Acceptance Model with Trust: Commercial Drivers’ Attitudes towards Monitoring and Feedback

Ghazizadeh, Mahtab; Peng, Yufeng; Lee, John D.; Boyle, Linda Ng

doi:10.1177/1071181312561481

Cited by 77 publications

(41 citation statements)

References 28 publications

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“…We measured acceptance focusing on both user's perceptions and intention to use the system. Thus, we used the scale from Van der Laan et al (1997), as well as measured the constructs included in the CTAM with the scales from Osswald et al (2012) and Ghazizadeh, Peng, Lee, and Boyle (2012). The Van der Laan et al (1997) scale includes nine semantic differential items representing different attitudes toward the system.…”

Section: Acceptancementioning

confidence: 99%

Evaluation of User Behavior and Acceptance of an On-Bike System

Prati¹,

Puchades²,

Angelis³

et al. 2019

Preprint

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In this study, users' acceptance of an on-bike system that warns about potential collisions with motorized vehicles as well as its influence on cyclists' behavior was evaluated. Twenty-five participants took part in a field study that consisted of three different experimental tasks. All participants also completed a follow-up questionnaire at the completion of the three-task series to elicit information about the acceptance of the on-bike system. In the experiment phase, participants were asked to ride the bicycle throughout a circuit and to interact with a car at an intersection. Participants completed three laps of the circuit. The first lap involved no interaction with the car and served the purpose of habituation. In the second and third laps participants experienced a conflict with an incoming car at an intersection. In the second lap, the on-bike device was not activated, while in the third lap, participants received a warning message signaling the imminent conflict with the car. We compared the difference in user's behavior between the second lap (conflict with a car without the warning of the on-bike system) and the third lap (conflict with a car with the warning of the on-bike system). Results showed that, when entering the crossroad, participants were more likely to decrease their speed in case of warning of the on-bike system. Further, the on-bike system was relatively well accepted by the participants. In particular, participants did not report negative emotions when using the system, while they trusted it and believed that using such technology would be free from effort.Participants were willing to spend on average 57.83€ for the system. This study highlights the potential of the on-bike system for promoting bicycle safety.

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Section: Acceptancementioning

confidence: 99%

Evaluation of User Behavior and Acceptance of an On-Bike System

Prati¹,

Puchades²,

Angelis³

et al. 2019

Preprint

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“…Scientists suggest a strong relationship between information quality, system quality, service quality, and technology acceptance model. Furthermore, this study has extended the technology acceptance model with trust, because trust is an essential factor in the relationship of three qualities and technology acceptance model (Ghazizadeh et al, 2012;Yang et al, 2015), taking in to account recent studies in consumer behaviour (Ahmed, Vveinhardt, & Streimikiene, 2017;Cachero-Martinez & Vazquez-Casielles, 2017;Debkowska, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

“…All processes changed from traditional to computerized systems, which is a more convenient and efficient method to save financial resources and time. This phenomenon is widely analysed by scientists (Disney et al, 2018;Ghazizadeh et al, 2012;Martens et al, 2017;Roy et al, 2018;Skackauskiene et al, 2016;Yang et al, 2015), but attention to the developing countries and their acceptance of ICT innovation is missing, as well as a lack of integrity of aspects, such as consumer behaviour and technology acceptance (electronic ticketing in particular). Therefore, country and model level alternatives should be analysed.…”

Section: Introductionmentioning

confidence: 99%

Acceptance of Intelligent Ticketing Systems in Developing Countries

Shafique

Raudeliūnienė

Davidavičienė

et al. 2019

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Information communication technologies bring the revolution into all business sectors, and transportation sector is not an exception. Ticketing system has changed from traditional to intelligent, which provides information and service to the consumer. In developed countries such systems are implemented and operate successfully, while in the developing countries electronic ticketing and other similar innovative solutions face specific challenges. These challenges are related to information era and changes in consumer behaviour, caused by the development of information and communication technologies. In these new conditions the motives of consumers to choose electronic ticketing has become an extremely important factor of success. Lack of integrity of consumer behaviour and technology acceptance (electronic ticketing in particular) was identified in previous scientific research, especially taking into consideration recent conditions of developing countries. The aim of this article is to evaluate the consumers' behaviour and acceptance of intelligent systems, such as electronic ticketing, in order to identify factors, influencing and encouraging the customers to use electronic ticketing systems. In this study extended technology acceptance model with trust element was used to measure the consumer behaviour. The sample for this research has been taken from China and Pakistan populations and consists of 432 participants from both countries.

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“…Many studies in transportation area also adopted TAM to find the essential factors influencing intention to use particular system such as driving assistance system (e.g. [24][25] [26]), traffic information system [27], mobile travel guide system [28], etc. However, studies in the specific area of ATIS such traffic information applications are still insufficient.…”

Section: B Theoretical Background and Hypotheses Frameworkmentioning

confidence: 99%

“…Meanwhile, Ghazizadesh et al [24] also found the importance of trust in transportation area. They discovered a significant effect of trust on behavioral intention to use driving assistance system.…”

Section: Trust In Application (Tia)mentioning

confidence: 99%

A study of factors influencing intention to use traffic information applications on smartphones in Bangkok, Thailand

Cooharojananone

Napapruekchat

Puttirutwong

et al. 2014

International Conference on Information Society (I-Society 2014)

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Traffic information applications been proposed as a potential solution for traffic congestion problem in Bangkok, Thailand. However, the tendency of application usage has not increased as expected. Thus, this study is conducted to investigate the factors influencing on travelers' intention to use traffic information applications on smartphones using modified Technology Acceptance Model (TAM) with the emphasis on the differences in influencing factors between long-distance travelers and short distance travelers. The results show that the attitude toward using application has the powerful effect on behavioral intention to use application in both groups of respondents and perceived usefulness, perceived ease of use, subjective norm, perceived enjoyment and trust in application are the predictors of the attitude toward using application in both groups as well. However, the strongest determinant of long-distance travelers' attitude is trust in applications. Perceived usefulness is the strongest determinants of short-distance-travelers' attitudes. Moreover, long-distance travelers tend to be more interested in the reliability of application than short-distance travelers. Meanwhile, short-distance travelers tend to be more interested in the ease of use of application than long-distance travelers.

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Augmenting the Technology Acceptance Model with Trust: Commercial Drivers’ Attitudes towards Monitoring and Feedback

Cited by 77 publications

References 28 publications

Evaluation of User Behavior and Acceptance of an On-Bike System

Evaluation of User Behavior and Acceptance of an On-Bike System

Acceptance of Intelligent Ticketing Systems in Developing Countries

A study of factors influencing intention to use traffic information applications on smartphones in Bangkok, Thailand

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