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Cited by 264

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The determinants of hotels' marketing managers' green marketing behaviour

Open access
Dief, Mohammed El, Font, Xavier·2010·Journal of Sustainable Tourism

Abstract

Little is known about the factors underlying the pro-environmental behaviour of marketing managers. This paper explores the determinants of green marketing practices in the Red Sea hotel sector in Egypt. The research model assesses green marketing practices against the personal and organisational values of the marketing managers, together with a range of organisational and demographic variables expected to influence hotels' environmental behaviour. From a valid sample of 89 marketing managers responsible for 194 hotels, it was found that organisational contextual variables, and in particular targeting Western tourists, being affiliated to an international hotel chain and the marketers' own demographics, including age, academic subject studied and gender, were the best predictors of more proactive green marketing. Personal environmental values did not explain the pro-environmental behaviour of marketers, and the organisational environmental values that had explained part of their ethical behaviour had resulted from voluntarism rather than utilitarian or conformance-based values. Government policies also appeared to be ineffective determinants. The implications for green marketing practices are also discussed.

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Crossref · 10.1080/09669580903464232

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Metadata

Authors
Dief, M. E., & Font, X.
Venue
Journal of Sustainable Tourism
Published
2010-03-09
Volume
18
Issue
2
Pages
157-174
ISSN
  • 0966-9582 (ISSN-L)
  • 1747-7646
OpenAlex
W2140265422
Cited by
264
References
2
FWCI
40.67
Type
journal article
Language
en
Open access
bronze

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.