User acceptance of driverless vehicles and robots with aspect of personal economy

Kencebay, Belma

doi:10.1080/15475778.2019.1664234

Cited by 5 publications

(13 citation statements)

References 24 publications

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“…An another aspect of robotization effect on economy and social orders as well. The robotization effect on "personal economy" is examined by Kencebay [4]. It is stated that Anxiety has higher and quite material effect on Personal Economy.…”

Section: Potential Economic Results Of Robotization and Offered Welfamentioning

confidence: 99%

“…It is stated that Anxiety has higher and quite material effect on Personal Economy. The study anticipated that Personal Economy will have stronger effect on "Intention to Accept for Robots" [4]. The high unemployment rates and declining wages may rise the anxiety, due to the anxiety's material effect on personal economy parallel to that it may effect the level of acceptance of robots.…”

Section: Potential Economic Results Of Robotization and Offered Welfamentioning

confidence: 99%

“…The 47% of laborers in USA will be exposed to risk of losing their employment as indicated by Frey and Osborne [3] study including characterization of 702 occupations dependent on its degree of lack of protection against automation. Other supporting report has been published by the World Bank assesses that 57% of professions in the OECD could be robotized all through the upcoming two decades [4,5].…”

Section: Introductionmentioning

confidence: 99%

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Robotization and Welfare Trends in Future

Kencebay¹

2020

Service Robotics

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There are concerns over the present and possible future impact of new advancements like robots and artificial intelligence on welfare. Experts from different fields including science and business have been concentrating on how new developments may affect the job market, and more broadly how new advancements will influence the society. It would be easy to get support for the use of robots for the tasks which are too difficult or too dangerous for humans. What is the capital owners' focus at that point? What are the economic and social consequences of robotization? In this chapter, literature review including the recent thoughts on how developments in robotics may cause major changes in welfare distribution and revolutionary economic changes is presented.

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Section: Potential Economic Results Of Robotization and Offered Welfamentioning

confidence: 99%

Section: Potential Economic Results Of Robotization and Offered Welfamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Robotization and Welfare Trends in Future

Kencebay¹

2020

Service Robotics

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“…This study explores the factors influencing customer acceptance of service robots. As the quantity of service robots continues to increase, customer acceptance of service robots has become an important topic in academia and marketing management (Guggemos et al, 2020;Jorling et al, 2019;Kencebay, 2019;Khaksar, et al, 2019;Lin et al, 2019;Xiao & Kumar, 2019).…”

Section: Discussion and Con Clus I Onmentioning

confidence: 99%

Effect of customer's perception on service robot acceptance

Wang

2021

Int J Consumer Studies

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A service robot is a physical entity integrated with information technology (IT) which can autonomously provide customized services to people. While the use of robots is regarded as one of the most important trends in service marketing, customer acceptance is still a major barrier to their application in service scenarios. This study examines robot characteristics (anthropomorphism, autonomy) and customer characteristics (role clarity, ability) as antecedents affecting customer acceptance of service robots from the perspective of service encounters. Subsequently, the study develops a conceptual model based on the technology acceptance model (TAM). A sample of 406 respondents from an online survey in China was used to test the proposed conceptual model. The results show that anthropomorphism, autonomy, and ability are positively related to perceived usefulness, while autonomy, ability, and role clarity are positively related to perceived ease of use. Both perceived usefulness and perceived ease of use are significant antecedents of customer attitude. Customer attitude determines customer acceptance of service robots in service encounters. Our findings have implications for both researchers and practitioners.

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“…Cost effectiveness, which means the net incomes from an investment, is a variable that was studied by both Adnan 114 Kencebay (2019) showed in her study that robots and driverless car's awareness are two factors that have a significant effect on the acceptance of these two technologies through their impact on the perceived enjoyment of the individual. Since the two innovations use AI to operate, and the study will focus on the adoption of AI tools in organizations, awareness can be considered as a variable that may be used in the model.…”

Section: Framework Used and Variables Detectedmentioning

confidence: 99%

Analysis Of The Variables Of Intention Of The Adoption And Acceptance Of Artificial Intelligence And Big Data Tools Among Leaders Of Organizations In Morocco: Attempt Of A Theoretical Study

Yousra

Chafik

2021

ESJ

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Artificial intelligence and big data are two emerging technologies that is now gaining ground among organizations. Their added value and their impact on business performance differ from one industry to another. Due to increased competitiveness, and in order to survive in the market, companies are led to adopt these new technologies that will enable them to be more performant and offer customers goods or services that meet their real needs since this approach is based on data collected from outside the company's environment. To do so, it is important to know and analyze beforehand the factors and variables that impact the adoption and acceptance process in order to manage them. This paper focuses on establishing a synthetic literature review to find out the current state of researches on the problems of AI and Big data adoption and acceptance, and it also argument the empirical sector’s choice. The findings of this study show that agricultural and chemical industry sectors are the two most promising sectors for AI in Morocco. As a result, a comparative analysis will be conducted after the development of the research model on these two fields in order to analyze the variables of adoption and acceptance of AI. Also, the most influential variables according to the literature were detected in this paper, which are grouped into four (4) types: technological, organizational, environmental, and behavioral variables.

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User acceptance of driverless vehicles and robots with aspect of personal economy

Cited by 5 publications

References 24 publications

Robotization and Welfare Trends in Future

Robotization and Welfare Trends in Future

Effect of customer's perception on service robot acceptance

Analysis Of The Variables Of Intention Of The Adoption And Acceptance Of Artificial Intelligence And Big Data Tools Among Leaders Of Organizations In Morocco: Attempt Of A Theoretical Study

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