Results 71 to 80 of about 1,088,259 (276)
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Retailer Choice and Loyalty Schemes - Evidence from Sweden [PDF]
From economic theory, it is known that consumer loyalty schemes can have lock-in effects resulting in entry barriers and higher prices. This paper concerns consumer loyalty schemes where the main issue is to test the hypothesis that loyalty scheme ...
Lundberg, Sofia, Lundberg, Johan
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Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
A study on the association between brand awareness and consumer/brand loyalty for the packaged milk industry in Pakistan [PDF]
Brand awareness remains fundamental to consumer life as the interaction initiation point to the brands. This paper put forwards the relationship of brand awareness on consumer/brand loyalty in the packaged milk brands in the urban Pakistan.
Osman, Ms. Amber +1 more
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TYPES OF CONSUMER LOYALTY IN THE UKRAINIAN HIGH TECHNOLOGY PRODUCTS MARKET
Вісник Київського національного університету імені Тараса Шевченка. Серія Економіка, 2017 The study addresses the problem of the formation of customer loyalty in the market of high-tech products. It examines existing approaches to defining the determinants that influence the formation of loyalty in the consumer market.
V. Zhurylo
doaj +1 more source
Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Examining the Nonlinear Effects in Satisfaction-Loyalty-Behavioral Intentions Model [PDF]
Extant research has widely investigated linear functional forms in satisfaction and loyalty models. Though complex nonlinear nature of satisfaction loyalty link is suggested by several researchers, few attempts have been made to empirically examine ...
Jaiswal, A. K., Niraj, Rakesh
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Indonesian Interdisciplinary Journal of Sharia EconomicsThis study aims to analyze the influence consumer satisfaction towards brand loyalty mediated by brand attachment and brand love for Wardah cosmetic products.
Vita Yuniar, Soepatini Soepatini
doaj +1 more source
An Adaptation of the Quality–Loyalty Model to Study Green Consumer Loyalty
SustainabilityThis research proposes an adaptation of the quality–loyalty model in which affective commitment is integrated as a key factor in the proposed framework. The study presented a comprehensive framework encompassing 11 hypotheses formulated from an extensive literature review.
Thi Hoang Ha Tran, Tuan Le-Anh
openaire +1 more source
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source