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Cited by 348

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Risk assessment of halal products and services: Implication for tourism industry

Open access
Olya, Hossein G.T., Al-ansi, Amr·2018·Tourism Management
DOI 10.1016/j.tourman.2017.10.015
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Abstract

This empirical study entailed proposing conceptual models for investigating customers' satisfaction, their intention to recommend, and their continued intention to purchase and consume halal products and services. Complexity theory was used to support the developed models. The study applied a symmetrical analysis to investigate the risk factors that are sufficient for affecting the desired outcomes. An asymmetrical approach was used to explore the causal configurations that lead to both high and low outcomes scores. A necessary condition analysis was performed to identify the risk conditions required to achieve the expected outcomes. The models were tested using data collected on the perceptions of patrons at international halal restaurants in Malaysia. According to the results, the heterogeneous interactions of risk conditions support complexity theory. Policy implications for the status of the tourism industry and the Muslim world are discussed at the end of the paper.

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Metadata

Authors
Olya, H. G. T., & Al-ansi, A.
Venue
Tourism Management
Publisher
Elsevier BV
Published
2018-04
Volume
65
Pages
279-291
ISSN
0261-5177 (ISSN-L)
DOI
10.1016/j.tourman.2017.10.015
OpenAlex
W2765343280
Cited by
348
References
62
FWCI
49.62
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Risk assessment of halal products and services: Implication for tourism industry. https://app.cochat.ai/papers/10.1016/j.tourman.2017.10.015
The paper
Olya, H. G. T., & Al-ansi, A. (2018). Risk assessment of halal products and services: Implication for tourism industry. Tourism Management. https://doi.org/10.1016/j.tourman.2017.10.015

Data sources

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.