Importance of Customer Satisfaction Factors in Strategic Marketing: Neural Network Method

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F15%3APU116503" target="_blank" >RIV/00216305:26510/15:PU116503 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Importance of Customer Satisfaction Factors in Strategic Marketing: Neural Network Method

Popis výsledku v původním jazyce

In strategic marketing the customer satisfaction with products of services plays the significant feedback for companies. They can effectively customize their products and services on the basis of received data from this customers` feedback. A wide portfolio of products with different functionalities is advantageous for customers because they can better choose products or services with such characteristics that maximize their utility. However, companies need to push down the costs of the internal activities and processes and minimize the use of their limited resources. It is necessary for companies to get to know such factors of goods or services which are the most significant for customer satisfaction so that they could be able to dispose effectively with their resources. For this reason the target of this study is to present the new method of determining the significance of individual factors within the measurement of overall customer satisfaction. Neural network is the core of the new method.

Název v anglickém jazyce

Importance of Customer Satisfaction Factors in Strategic Marketing: Neural Network Method

Popis výsledku anglicky

In strategic marketing the customer satisfaction with products of services plays the significant feedback for companies. They can effectively customize their products and services on the basis of received data from this customers` feedback. A wide portfolio of products with different functionalities is advantageous for customers because they can better choose products or services with such characteristics that maximize their utility. However, companies need to push down the costs of the internal activities and processes and minimize the use of their limited resources. It is necessary for companies to get to know such factors of goods or services which are the most significant for customer satisfaction so that they could be able to dispose effectively with their resources. For this reason the target of this study is to present the new method of determining the significance of individual factors within the measurement of overall customer satisfaction. Neural network is the core of the new method.

Druh

D - Stať ve sborníku

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Innovation Management and Sustainable Economic Competitive Advantage: From Regional Development to Global Growth

ISBN

978-0-9860419-5-2

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

1174-1182

Název nakladatele

International Business Information Management Association (IBIMA)

Místo vydání

Madrid, Spain

Místo konání akce

Madrid

Datum konání akce

11. 11. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000366872700115