Results 141 to 150 of about 14,443 (252)

Consumer Mobile Phone Recycling Behaviour: A Systematic Review and Future Research Agenda

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT Mobile phone recycling has received increasing attention from scholars and practitioners due to its environmental, social, and economic impacts. However, knowledge about consumer mobile phone (MP) recycling behaviour is fragmented, making it challenging to develop effective strategies to promote this behaviour. This study follows the Preferred
Xinru (Angie) Jiang   +4 more
wiley   +1 more source

Augmented Reality for Balance Rehabilitation in Older Persons: A Scoping Review. [PDF]

open access: yesCan Geriatr J
Vehra A   +7 more
europepmc   +1 more source

Measuring Consumer Aversion Toward AI in Marketing Communication and Assessing Its Relationship to Brand Perceptions and Purchase Intention

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT Some consumers exhibit aversion toward artificial intelligence (AI), particularly when it is embedded in persuasive marketing communication (MarCom). Here, we developed and validated a measure of consumer aversion to AI in MarCom and examined its downstream consequences for brand perceptions and purchase intention.
Louvins Pierre   +2 more
wiley   +1 more source

A Phenomenological Study of Lived Experiences of International Counseling Students in Multicultural Counseling Courses

open access: yesCounselor Education and Supervision, EarlyView.
ABSTRACT This transcendental phenomenological study aimed to explore international counseling students’ (ICSs’) lived experiences in multicultural counseling classes. Semi‐structured individual interviews were conducted with 17 ICSs, six of whom also completed focus group interviews.
Anqi Yu, Susannah M. Wood
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos   +3 more
wiley   +1 more source

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