Results 51 to 60 of about 10,891 (200)
Measuring the Burden of Choice: Development and Validation of a Choice Overload Scale
Journal of Consumer Behaviour, EarlyView.ABSTRACT Excessive choice imposes substantial cognitive demands on consumers, impairs decision‐making, and generates negative consumer responses—a phenomenon widely known as the choice overload effect. Despite its conceptual prominence in consumer research and its enduring relevance in today's consumer markets, existing approaches to measuring choice ...
Jennifer Musial
wiley +1 more source
From Confusion to Clarity: A Multi‐Stage Process Framework for Understanding Consumer Confusion
Journal of Consumer Behaviour, EarlyView.ABSTRACT This paper reconceptualizes consumer confusion as a multi‐stage temporal process rather than a static outcome, addressing theoretical fragmentation in existing antecedent‐consequence models. By integrating cognitive appraisal, contextual amplification, and adaptive coping within a unified framework, we explain how confusion unfolds rather than
Fatih Celik, Erdogan Koc
wiley +1 more source
Journal of Consumer Behaviour, EarlyView.ABSTRACT This study investigates how artificial intelligence (AI) chatbot message tone, fashion product recommendation type, and personalization level interact to shape consumers' continuance intention in online fashion shopping. Building on Construal Level Theory and the Stereotype Content Model, we treat warmth and competence cues as psychological ...
Jung Mee Kim, Seeun Kim
wiley +1 more source
Digital Transformation of Medicines Regulation in Africa—Perspectives from a Stakeholder Convening
Clinical Pharmacology &Therapeutics, EarlyView.Regulatory authorities worldwide are developing strategies to integrate artificial intelligence (AI) into the lifecycle of health products, technologies, and medicines. While regulators share goals of improving efficiency, strengthening decision‐making, and protecting public health, their approaches differ according to institutional structures ...
Christelna Reyneke +12 more
wiley +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Despite increasing interest in leveraging AI to improve CSR communication, there is limited understanding of consumers' reactions to chatbots in CSR communication. Building upon the HAII‐TIME model, this study proposes a theoretical model from the users' psychological perspective to explain facilitative pathways through which anthropomorphic ...
Yangzhi (Nicole) Jiang +2 more
wiley +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Public organisations often experience a discrepancy between improvements in technical efficiency and stakeholders' perceptions of integrity and performance. This study analyses the mechanisms that may underlie this efficiency–perception discrepancy in Spanish Defence Delegations during 2020–2023.
José Solana‐Ibáñez +1 more
wiley +1 more source
Artificial Intelligence and Corporate Social Irresponsibility
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study examines whether and how firms' adoption of artificial intelligence (AI) is associated with corporate social irresponsibility (CSI). Ex ante, theories provide conflicting predictions regarding this association, making it an important empirical question.
Tobias Steindl
wiley +1 more source
Strategic Priorities for Advancing Eating Disorder Risk Reduction: A Narrative Review
International Journal of Eating Disorders, EarlyView.ABSTRACT Despite decades of advances in treatment, eating disorders continue to impose substantial individual and societal burden, underscoring the need for earlier and more effective risk reduction. Prevention research has expanded considerably, producing a wide range of approaches that target modifiable risk factors, build individual coping skills ...
Hannah K. Jarman
wiley +1 more source
A Review of Artificial Intelligence in Ophthalmology: Key Aspects, Challenges, and Future Directions
Eye &ENT Research, EarlyView.ABSTRACT Artificial intelligence (AI) is increasingly reshaping ophthalmology because the specialty depends heavily on structured imaging, quantitative measurements, and repeatable diagnostic workflows. This review provides a clinically grounded and translationally oriented synthesis of AI in ophthalmology, covering methodological foundations ...
Partha Pratim Ray
wiley +1 more source