Results 161 to 170 of about 33,217 (199)

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

Linking Decisional Support to Career Self‐Efficacy and Outcome Expectations via Learning Experiences in Turkish Undergraduates

The Career Development Quarterly, EarlyView.
ABSTRACT Drawing on the social cognitive model of career self‐management, the present study examines the relationships among decisional support, learning experiences (i.e., mastery experiences, verbal persuasion, vicarious learning, positive emotions, and negative emotions), self‐efficacy, and outcome expectations in relation to career exploration and ...
Ersoy Carkit
wiley   +1 more source

Personality Traits and Career Adaptability of School Counselors in Türkiye: The Mediating Role of Balanced Life Basic Skills

The Career Development Quarterly, EarlyView.
ABSTRACT Adapting to the changing world is also one of the requirements of professional success. Individuals are tasked with meeting their own and the environment's needs while achieving their expectations and goals related to their profession. The study investigated what personal factors could be related to the career adaptation of school counselors ...
Hazel Duru, Filiz Gültekin
wiley   +1 more source

Brain structural covariance network features are robust markers of early heavy alcohol use. [PDF]

Addiction
Ottino-González J, Cupertino RB, Cao Z, Hahn S, Pancholi D, Albaugh MD, Brumback T, Baker FC, Brown SA, Clark DB, de Zambotti M, Goldston DB, Luna B, Nagel BJ, Nooner KB, Pohl KM, Tapert SF, Thompson WK, Jernigan TL, Conrod P, Mackey S, Garavan H.   +21 more
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions

Canadian Journal of Statistics, EarlyView.
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni, Luca Merlo, Lea Petrella   +2 more
wiley   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

Canadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja, Wenbo Wu, Victor De Oliveira, Keying Ye   +3 more
wiley   +1 more source

Do ESG‐Related Managerial Capabilities Pay Off for SMEs? Evidence From the Small and Medium‐Sized Enterprise ESG Capability Measure (SM‐ESG)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Large companies have a long track record of environmental, social, and governance (ESG) initiatives, whereas many small and medium‐sized enterprises (SMEs) lag in adopting sustainability‐related practices, often acting voluntarily or in response to stakeholder pressures and incentives.
Vivien Csapi, Mónika Galambosné Tiszberger, Gábor Márkus, Ákos Tóth‐Pajor, Petra Putzer   +4 more
wiley   +1 more source

Structural covariance network centrality in maltreated youth with posttraumatic stress disorder. [PDF]

J Psychiatr Res, 2018
Sun D, Peverill MR, Swanson CS, McLaughlin KA, Morey RA.   +4 more
europepmc   +1 more source