An Analysis of the Influences of Demographic Factors on Customer Satisfaction with Using Logistic Regression

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F11%3A10228279" target="_blank" >RIV/61989100:27510/11:10228279 - 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

An Analysis of the Influences of Demographic Factors on Customer Satisfaction with Using Logistic Regression

Popis výsledku v původním jazyce

The paper deals with the use of econometric methods concern in marketing practice, specifically the use of logistic regression in marketing research. It deals with the customer satisfaction measurement in the pharmacies. Aims of this paper is determine whether the demographic characteristics of customers affect their satisfaction with the pharmacy using logistic regression. Gender customer, gender worker, age of customers and their economic status are listed as demographic factors. The article is also based on the analysis identified and quantified the relationship between gender of customer and gender of worker (pharmacist). The paper includes an explanation of logistic regression, a mathematical formulation of the model. It also includes practical applications in marketing and marketing research. The other section of the paper includes an analysis of data using logistic regression. The analysis will determine factors that affect customer satisfaction, and this effect will be quantifi

Název v anglickém jazyce

An Analysis of the Influences of Demographic Factors on Customer Satisfaction with Using Logistic Regression

Popis výsledku anglicky

The paper deals with the use of econometric methods concern in marketing practice, specifically the use of logistic regression in marketing research. It deals with the customer satisfaction measurement in the pharmacies. Aims of this paper is determine whether the demographic characteristics of customers affect their satisfaction with the pharmacy using logistic regression. Gender customer, gender worker, age of customers and their economic status are listed as demographic factors. The article is also based on the analysis identified and quantified the relationship between gender of customer and gender of worker (pharmacist). The paper includes an explanation of logistic regression, a mathematical formulation of the model. It also includes practical applications in marketing and marketing research. The other section of the paper includes an analysis of data using logistic regression. The analysis will determine factors that affect customer satisfaction, and this effect will be quantifi

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

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

2011

Kód důvěrnosti údajů

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

Název periodika

ECON '11

ISSN

1803-3865

e-ISSN

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Svazek periodika

19

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

9

Strana od-do

123-131

Kód UT WoS článku

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EID výsledku v databázi Scopus

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