Artikel

Consumption Intentions toward green restaurants: Application of theory of planned behavior and altruism

Testing 429 valid questionnaires distributed in 20 green restaurants located in Taipei, Taichung, and Kaohsiung, this study explored the intentions of consumers to dine at green restaurants based on their perceptions of green restaurant attributes and their attitudes, subjective norms, and perceived behavioral control toward green restaurants. The results of this study indicated that the perceptions of green restaurant attributes positively influenced consumers' attitudes toward green restaurants, which in turn positively influenced their intentions to visit green restaurants. In addition, consumers' subjective norms and perceived behavioral control both positively influenced consumption intentions regarding green restaurants. We used altruism as the moderating variable in this study. The results indicated that altruism exhibited a strong and significant influence on the relationship between attitude and consumption intentions. In order to promote green restaurants, managers must examine how the restaurant industry, government units, and academic units can contribute to enable the dining industry to meet international standards and cater to the international trends of the "chimney-free" dining industry.

Sprache
Englisch

Erschienen in
Journal: International Journal of Management, Economics and Social Sciences (IJMESS) ; ISSN: 2304-1366 ; Volume: 6 ; Year: 2017 ; Issue: 3 ; Pages: 121-143 ; Jersey City, NJ: IJMESS International Publishers

Klassifikation
Wirtschaft
Marketing
Thema
Green restaurants
attributes perception
theory of planned behavior
altruism
consumption intentions
chimney-free dining industry

Ereignis
Geistige Schöpfung
(wer)
Shen, Ying-Pei
Ereignis
Veröffentlichung
(wer)
IJMESS International Publishers
(wo)
Jersey City, NJ
(wann)
2017

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Shen, Ying-Pei
  • IJMESS International Publishers

Entstanden

  • 2017

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