Hey Alexa … examine the variables influencing the use of artificial intelligent in-home voice assistants

Computers in Human Behavior, Journal Year: 2019, Volume and Issue: 99, P. 28 - 37

Published: May 3, 2019

Language: Английский

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Shopping in the digital world: Examining customer engagement through augmented reality mobile applications

Computers in Human Behavior, Journal Year: 2019, Volume and Issue: 101, P. 210 - 224

Published: July 24, 2019

Language: Английский

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Customer experiences in the age of artificial intelligence

Computers in Human Behavior, Journal Year: 2020, Volume and Issue: 114, P. 106548 - 106548

Published: Sept. 2, 2020

Language: Английский

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Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues

International Journal of Information Management, Journal Year: 2020, Volume and Issue: 52, P. 102099 - 102099

Published: Feb. 25, 2020

Language: Английский

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Constituents and consequences of smart customer experience in retailing

Technological Forecasting and Social Change, Journal Year: 2016, Volume and Issue: 124, P. 257 - 270

Published: Oct. 1, 2016

Language: Английский

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Towards the identification of customer experience touch point elements

Journal of Retailing and Consumer Services, Journal Year: 2016, Volume and Issue: 30, P. 8 - 19

Published: Jan. 1, 2016

Language: Английский

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Developing a Mobile Applications Customer Experience Model (MACE)- Implications for Retailers

Journal of Business Research, Journal Year: 2018, Volume and Issue: 85, P. 325 - 336

Published: Feb. 3, 2018

Language: Английский

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An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?

Journal of Retailing and Consumer Services, Journal Year: 2016, Volume and Issue: 30, P. 140 - 164

Published: Jan. 28, 2016

Language: Английский

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What Predicts Patients’ Adoption Intention Toward mHealth Services in China: Empirical Study

JMIR mhealth and uhealth, Journal Year: 2018, Volume and Issue: 6(8), P. e172 - e172

Published: June 21, 2018

With the increasing concerns about health of individuals in China and development information technology, mHealth enables patients to access interact with doctors anytime anywhere. Examining patients' willingness use is considered critical because its success depends on adoption patients.The objective our study was explore determinants service among Chinese using an extended technology acceptance model (TAM) trust perceived risks.We conducted a questionnaire-based survey 3 large hospitals analyzed data structural equation modeling.The results corroborated that proposed fits well. Trust, usefulness, ease positively correlated adoption. Privacy performance risks negatively intention toward services. In addition, age chronic diseases can help predict their level mHealth, respectively.We concluded TAM generally works context adoption, although significance has declined. addition technical factors, are for explaining patients.

Language: Английский

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Examining consumer attitudes towards retailers' m-commerce mobile applications – An initial adoption vs. continuous use perspective

Journal of Business Research, Journal Year: 2019, Volume and Issue: 106, P. 139 - 157

Published: Oct. 16, 2019

Language: Английский

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