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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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DESIGNING A GREEN MARKETING MODEL IN THE RELIGIOUS TOURISM INDUSTRY: A MIXED METHOD STRATEGY

Authors: Mohammad, ALheidari; Mohammad, Safari; Bahareh, Abedin; Meysam, Shirkhodaie;

DESIGNING A GREEN MARKETING MODEL IN THE RELIGIOUS TOURISM INDUSTRY: A MIXED METHOD STRATEGY

Abstract

Iraq's overwhelming reliance on oil revenues has caused other sectors of the economy to continue to be underdeveloped. Despite this, the country has enormous potential in the tourism industry relative to other oilproducing nations. Should this potential be harnessed, diversification of revenues would be achieved and the country's over-reliance on oil reduced? This study adopts a mixed-methods approach, combining quantitative and qualitative methods, to develop a comprehensive green marketing model tailored to the religious tourism sector in Iraq. The study sample includes expert managers in the qualitative phase and religious tourists in the quantitative phase. The findings are framed around four main dimensions: social and environmental sustainability, effective and efficient green marketing practices, sustainable social advancement, and innovation in green service quality. Interviewees offered rich views and personal experiences, exploring several facets of the paradigmatic model. Their contributions enabled in-depth comprehension of green marketing practices in the context of the religious tourism industry of Iraq

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Keywords

Green marketing, mixed-methods research, religious tourism, sustainability

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    popularity
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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green