The Philosophy of Loyalty.

Sharp, Frank Chapman; Royce, Josiah

doi:10.2307/2010624

Cited by 1 publication

(2 citation statements)

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“…Royce and Sharp defined the term loyalty differently in their book. According to Sharp and Royce (1909), loyalty is a virtue, if not a supreme virtue, "the essence of all virtue, the supreme responsibility of all duty". The term is "the loyalty of a person who is honest, practical, and thorough to achieve a goal" (Sharp and Royce, 1909).…”

Section: Customer Loyalty (Loy)mentioning

confidence: 99%

“…According to Sharp and Royce (1909), loyalty is a virtue, if not a supreme virtue, "the essence of all virtue, the supreme responsibility of all duty". The term is "the loyalty of a person who is honest, practical, and thorough to achieve a goal" (Sharp and Royce, 1909). However, loyalty is not limited to punctuality or loyalty towards work.…”

Section: Customer Loyalty (Loy)mentioning

confidence: 99%

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Effect of innovation practices of banks on customer loyalty: an SEM-ANN approach

Tiwari¹

2023

BIJ

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PurposeThe purpose of this study is to examine the effects of banking innovations (INNs) on customer experience (EXP), satisfaction (SAT) and loyalty (LOY).Design/methodology/approachThe author evaluated the data using a structural equation method-artificial neural network (SEM-ANN) method. The author’s results show the presence of relationship between INN, EXP, SAT and LOY. In this study, the node layers of ANNs add an input layer, hidden layers and an output layer. Each “node” acts as an artificial neuron that communicates with others. The ANN model takes the variables from the SEM analysis as input neurons.FindingsThe author observed the significant effects between INN, EXP, SAT and LOY using the normalised importance generated by the multilayer perceptron used in the feed-forward back propagation of the ANN methodology. In this study, the ANN model can predict LOY through service innovation, with a forecast accuracy of 77.6%.Originality/valueBy applying neural network modelling, this research helps us understand how service innovation affects customer behaviour. For the first time, the author examined service innovations' direct and indirect impact on loyalty through EXP and SAT. The author made a significant conceptual contribution by using a non-compensatory model of ANNs to circumvent the limitations of linear models.

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Section: Customer Loyalty (Loy)mentioning

confidence: 99%

Section: Customer Loyalty (Loy)mentioning

confidence: 99%