The usage of logistic regression for analyzing market research data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F11%3A10229137" target="_blank" >RIV/61989100:27510/11:10229137 - 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

The usage of logistic regression for analyzing market research data

Popis výsledku v původním jazyce

This paper deals with the assessment of competitive position of a manufacturer directly in retail outlets using a method named Total Shopscore Index (abbr. TSI). This index consists of three particular indices - inventory, position and presentation index. Input data for calculating can be gained by observation, most commonly directly in retail outlets. This tool is used also to assess sales representatives of the specific manufacturer who are responsible for certain product or all merchandise in retailoutlet. Therefore it is important to set reasonable level of TSI that has to be reached by sales reps in different regions, retail outlet types, retailers, etc. The calculated values of TSI can be analyzed and compared, e.g. using logistic regression models with intention to describe the relation between attained values of TSI (or also of partial indices) and specific identification factors like region, retail type or retailer.

Název v anglickém jazyce

The usage of logistic regression for analyzing market research data

Popis výsledku anglicky

This paper deals with the assessment of competitive position of a manufacturer directly in retail outlets using a method named Total Shopscore Index (abbr. TSI). This index consists of three particular indices - inventory, position and presentation index. Input data for calculating can be gained by observation, most commonly directly in retail outlets. This tool is used also to assess sales representatives of the specific manufacturer who are responsible for certain product or all merchandise in retailoutlet. Therefore it is important to set reasonable level of TSI that has to be reached by sales reps in different regions, retail outlet types, retailers, etc. The calculated values of TSI can be analyzed and compared, e.g. using logistic regression models with intention to describe the relation between attained values of TSI (or also of partial indices) and specific identification factors like region, retail type or retailer.

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

8

Strana od-do

8-15

Kód UT WoS článku

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EID výsledku v databázi Scopus

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