Too much power or no power: when does intermediary's power result into better wine and happier farmers?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41340%2F22%3A92935" target="_blank" >RIV/60460709:41340/22:92935 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.wageningenacademic.com/doi/abs/10.22434/IFAMR2021.0143" target="_blank" >https://www.wageningenacademic.com/doi/abs/10.22434/IFAMR2021.0143</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.22434/IFAMR2021.0143" target="_blank" >10.22434/IFAMR2021.0143</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Too much power or no power: when does intermediary's power result into better wine and happier farmers?

Popis výsledku v původním jazyce

The study analyzes the trading relationship performance between farmers and intermediaries and the factors shaping it, with a focus on intermediarys power, based on a structured survey of vineyard farmers in Kosovo. Confirmatory factor analysis is employed to develop measures for the study latent variables, and ordinary least squares regression is used to test the hypothesis. To further validate the results, machine learning (i.e. random forest) is used to model the factors affecting the relationship performance between farmer and intermediary. The results show that when the intermediary has considerable (excessive) power, it leads to low trading relationship performance with farmers. Also, when the intermediary has little power, the relationship performance with farmers behaves in a similar way. The main contribution of this paper is to further illuminate the debate on the role of power in business-to-business relationships, in that it points out an alternative explanation, stating that there is an

Název v anglickém jazyce

Too much power or no power: when does intermediary's power result into better wine and happier farmers?

Popis výsledku anglicky

The study analyzes the trading relationship performance between farmers and intermediaries and the factors shaping it, with a focus on intermediarys power, based on a structured survey of vineyard farmers in Kosovo. Confirmatory factor analysis is employed to develop measures for the study latent variables, and ordinary least squares regression is used to test the hypothesis. To further validate the results, machine learning (i.e. random forest) is used to model the factors affecting the relationship performance between farmer and intermediary. The results show that when the intermediary has considerable (excessive) power, it leads to low trading relationship performance with farmers. Also, when the intermediary has little power, the relationship performance with farmers behaves in a similar way. The main contribution of this paper is to further illuminate the debate on the role of power in business-to-business relationships, in that it points out an alternative explanation, stating that there is an

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

40101 - Agriculture

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

International Food and Agribusiness Management Review

ISSN

1559-2448

e-ISSN

—

Svazek periodika

25

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

17

Strana od-do

771-787

Kód UT WoS článku

000900382000006

EID výsledku v databázi Scopus

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