Decoding the Dilemma of Consumer Food Over-Ordering in Restaurants: An Augmented Theory of Planned Behavior Model Investigation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020528" target="_blank" >RIV/62690094:18450/23:50020528 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/2071-1050/15/11/8735" target="_blank" >https://www.mdpi.com/2071-1050/15/11/8735</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/su15118735" target="_blank" >10.3390/su15118735</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Decoding the Dilemma of Consumer Food Over-Ordering in Restaurants: An Augmented Theory of Planned Behavior Model Investigation

Popis výsledku v původním jazyce

This study aims to investigate the phenomenon of over-ordering behavior in social dining as a significant contributor to food waste, utilizing an integrated conceptual model that combines the theory of planned behavior (TPB) and the norm activation model (NAM) with the moderating role of Mianzi. A total of 583 responses collected through an online survey are analyzed using partial least squares-structural equation modeling (PLS-SEM). The findings reveal that awareness of consequences and ascription of responsibility positively influence personal norm, while personal norm negatively affects consumers&apos; attitude towards over-ordering. Furthermore, attitude, subjective norm, and perceived behavioral control (PBC) are positively and significantly associated with over-ordering behavior. Notably, Mianzi moderates the relationship between personal norms and attitude. These findings contribute to a deeper understanding of the factors influencing consumers&apos; over-ordering behavior and provide valuable insights for addressing food waste in social dining contexts. The study&apos;s limitations are discussed, and future research directions are suggested to advance the field of food waste reduction.

Název v anglickém jazyce

Decoding the Dilemma of Consumer Food Over-Ordering in Restaurants: An Augmented Theory of Planned Behavior Model Investigation

Popis výsledku anglicky

This study aims to investigate the phenomenon of over-ordering behavior in social dining as a significant contributor to food waste, utilizing an integrated conceptual model that combines the theory of planned behavior (TPB) and the norm activation model (NAM) with the moderating role of Mianzi. A total of 583 responses collected through an online survey are analyzed using partial least squares-structural equation modeling (PLS-SEM). The findings reveal that awareness of consequences and ascription of responsibility positively influence personal norm, while personal norm negatively affects consumers&apos; attitude towards over-ordering. Furthermore, attitude, subjective norm, and perceived behavioral control (PBC) are positively and significantly associated with over-ordering behavior. Notably, Mianzi moderates the relationship between personal norms and attitude. These findings contribute to a deeper understanding of the factors influencing consumers&apos; over-ordering behavior and provide valuable insights for addressing food waste in social dining contexts. The study&apos;s limitations are discussed, and future research directions are suggested to advance the field of food waste reduction.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20701 - Environmental and geological engineering, geotechnics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

SUSTAINABILITY

ISSN

2071-1050

e-ISSN

2071-1050

Svazek periodika

15

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

16

Strana od-do

"Article Number: 8735"

Kód UT WoS článku

001005722500001

EID výsledku v databázi Scopus

2-s2.0-85163105897