Data and computational programs for testing a dynamic model of destination image formation

https://doi.org/10.11583/DTU.9766649

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posted on 2019-12-19, 12:13 authored by Morten MørupMorten Mørup, Mikkel Nørgaard SchmidtMikkel Nørgaard Schmidt, Fumiko Kano GlückstadFumiko Kano Glückstad

<div>This program contains computational programs used in the procedure 1 and procedure 3 presented in (Fumiko Kano Glückstad, Mikkel N. Schmidt, Morten Mørup, Data and computational programs for testing a dynamic model of destination image formation). The program is structured to process data presented in the accompanying Data in Brief.</div><div><p><br></p></div>

Funding

“UMAMI: Understanding Mindsets Across Markets, Internationally” No. 61579-00001A funded by Innovation Fund Denmark

History

Related Materials

1.
DOI - Is supplement to Testing a model of destination image formation: Application of Bayesian relational modelling and fsQCA

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Categories

Business information management (incl. records, knowledge and intelligence)

Keywords

nonparametric Bayesian relational modelling infinite relational modeling stochastic blockmodeling fuzzy-set qualitative comparative analysis consumer segmentation destination image formation Business Information Management (incl. Records, Knowledge and Information Management, and Intelligence)

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CC BY-NC-ND 4.0

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