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The use of aggregated macro-level data is underrepresented in hospitality research, and it is suggested here that traditional measures of environmental uncertainty are insufficient when measuring differences within a hospitality sector. This article reviews the traditional measures of environmental uncertainty using secondary data and proposes a measure of heterogeneity as an alternative method grounded in previous theory. Aggregated segments of the restaurant industry are used to illustrate the usefulness of heterogeneity in resources as a measure of environmental uncertainty. Using this exploratory measure, significant differences are shown to exist between limited service and full service restaurant segments.
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Stored only when both papers are in the corpus — 46 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.