2022
DOI: 10.3389/fenvs.2022.1012856
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What configurational conditions promote tourism eco-transformation? a fuzzy-set qualitative comparative analysis based on the TOE framework

Abstract: Tourism eco-transformation can provide a long-lasting competitive advantage. However, successful transformation is a challenge for both academia and industry. The literature has focused on the net effect of a single factor. Still, we build on the Technology-Organization-Environment framework and propose that tourism eco-transformation does not depend on a single condition but the configurational effect of organization, environment, and technology. We found six conditions that influence eco-transformation in Ch… Show more

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Cited by 3 publications
(2 citation statements)
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“…Broadly speaking, workforce and fixed assets are regarded as fundamental elements of production within the realms of both tourism and cultural industries [ 73 ]. Tourism stands as a labor-intensive sector, with its economic operations significantly influenced by the workforce it employs [ 74 ]. According to Chinese Tourism Statistical Yearbook, A-grade scenic spots, star-rated hotels, and travel agencies are the most important components within tourism industry, with their employees constituting the primary labor resource.…”
Section: Methodsmentioning
confidence: 99%
“…Broadly speaking, workforce and fixed assets are regarded as fundamental elements of production within the realms of both tourism and cultural industries [ 73 ]. Tourism stands as a labor-intensive sector, with its economic operations significantly influenced by the workforce it employs [ 74 ]. According to Chinese Tourism Statistical Yearbook, A-grade scenic spots, star-rated hotels, and travel agencies are the most important components within tourism industry, with their employees constituting the primary labor resource.…”
Section: Methodsmentioning
confidence: 99%
“…Thus, points such as full-set membership, the intermediate-set (or crossover point) membership, and full-set non-membership must be set when recalibrating for set membership. This paper, taking cues from previous literature, calibrates six conditional variables and one result variable using the original data's 25%, 50%, and 75% values as calibration parameters [59].…”
Section: Qualitative Comparative Analysismentioning
confidence: 99%