Results 131 to 140 of about 3,029 (250)
Predicting customer loyalty in omnichannel retailing using purchase behavior, socio-cultural factors, and learning techniques. [PDF]
Roosta S, Sadjadi SJ, Makui A.
europepmc +1 more source
First Australian study combining wastewater‐based epidemiology and drug checking, demonstrating how complementary data sources enhance monitoring of illicit drugs and emerging psychoactive substances during high‐use periods. ABSTRACT Consumption of psychotropic drugs is a major economic and public health challenge in Australia.
Muhammad Usman +8 more
wiley +1 more source
The adaptive engagement framework: enhancing banking customer experience through AI-powered invisible marketing. [PDF]
Shahbazi A +5 more
europepmc +1 more source
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh +12 more
wiley +1 more source
Predicting repurchase behavior and optimizing marketing for e-commerce users with genetic algorithms and deep learning. [PDF]
Yang S.
europepmc +1 more source
ABSTRACT Objective Self‐reported frequency measures of social media use (e.g., “How often do you use social media?”) are convenient, yet their criterion validity against objective behavioral data remains largely untested in eating disorder research. We compared self‐reports of TikTok use with objective data extracted from TikTok datafiles.
Scott Griffiths +7 more
wiley +1 more source
Examining the 'Consumer Repair Journey' and Business Intervention Opportunities to Enhance Customer Experience and Satisfaction. [PDF]
Dao T, Cooper T, Watkins M.
europepmc +1 more source
ABSTRACT Objective Expected body weight (EBW) determination is common in eating disorder (ED) treatment, yet no evidence‐based guidelines exist for how to discuss EBWs with patients. Clinicians have previously conceptualized these discussions as therapeutic exposures targeting fear of weight gain.
Agatha A. Laboe +6 more
wiley +1 more source
Explainable AI-driven customer churn prediction: a multi-model ensemble approach with SHAP-based feature analysis. [PDF]
El Attar A, El-Hajj M.
europepmc +1 more source
This review and analysis evaluate the benefits of LIB‐powered EVs on emission reduction of both CO2 and air pollutants. The raw materials of LIBs face low supply risks as the cathodes switch to low‐cobalt scenarios. Proper management of EV charging can mitigate its negative impact and even contribute to the stability and resilience of the power grid ...
Wanru Chen +5 more
wiley +1 more source

