Introduction: Thought leadership in brand management

Jevons, Colin; Buil, Isabel; Merrilees, Bill; Chernatony, Leslie de

doi:10.1016/j.jbusres.2011.07.016

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Brand loyalty is derived from a sense of satisfaction that is the result of creating shared value. The model in Figure 1 illustrates this relationship schematically (7). Another dimension is the interaction between brands and the customer, which causes the customer to engage with the product's contents, the function of the product in terms of professional and technical specification, and even its working model for the first time on the web.…”

Section: Ethical and Professional Issues In Iotmentioning

confidence: 99%

Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare

Hasan

Ghazal

Alkhalifah

et al. 2021

Front. Public Health

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The internet of reality or augmented reality has been considered a breakthrough and an outstanding critical mutation with an emphasis on data mining leading to dismantling of some of its assumptions among several of its stakeholders. In this work, we study the pillars of these technologies connected to web usage as the Internet of things (IoT) system's healthcare infrastructure. We used several data mining techniques to evaluate the online advertisement data set, which can be categorized as high dimensional with 1,553 attributes, and the imbalanced data set, which automatically simulates an IoT discrimination problem. The proposed methodology applies Fischer linear discrimination analysis (FLDA) and quadratic discrimination analysis (QDA) within random projection (RP) filters to compare our runtime and accuracy with support vector machine (SVM), K-nearest neighbor (KNN), and Multilayer perceptron (MLP) in IoT-based systems. Finally, the impact on number of projections was practically experimented, and the sensitivity of both FLDA and QDA with regard to precision and runtime was found to be challenging. The modeling results show not only improved accuracy, but also runtime improvements. When compared with SVM, KNN, and MLP in QDA and FLDA, runtime shortens by 20 times in our chosen data set simulated for a healthcare framework. The RP filtering in the preprocessing stage of the attribute selection, fulfilling the model's runtime, is a standpoint in the IoT industry.Index Terms: Data Mining, Random Projection, Fischer Linear Discriminant Analysis, Online Advertisement Dataset, Quadratic Discriminant Analysis, Feature Selection, Internet of Things.

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Section: Ethical and Professional Issues In Iotmentioning

confidence: 99%

Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare

Hasan

Ghazal

Alkhalifah

et al. 2021

Front. Public Health

View full text Add to dashboard Cite

show abstract

A Cross-Cultural Analysis of Impulsive and Compulsive Buying Behaviors among Israeli and U.S. Consumers: The Influence of Personal Traits and Cultural Values

Shoham¹,

Gavish²,

Segev³

2015

Journal of International Consumer Marketing

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This study tests a model to investigate the extent to which drivers of compulsive and impulsive buying behaviors overlap. The model includes personal and cultural antecedents for traits of consumer impulsiveness and compulsiveness and impulsive and compulsive buying behaviors as outcomes. Survey results from 336 Israeli and 595 U.S. consumers indicate that the personality antecedents envy, low self-esteem, and fantasizing generally drive consumer traits of impulsiveness and compulsiveness, though some differences exist between consumers in the U.S. and Israel. However, cultural orientations were found to be insignificant in driving traits of impulsiveness or compulsiveness.

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Introduction: Thought leadership in brand management

Cited by 2 publications

References 4 publications

Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare

Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare

A Cross-Cultural Analysis of Impulsive and Compulsive Buying Behaviors among Israeli and U.S. Consumers: The Influence of Personal Traits and Cultural Values

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