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

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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
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.


Funding

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

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    DTU Compute

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    Keywords

    nonparametric Bayesian relational modellinginfinite relational modelingstochastic blockmodelingfuzzy-set qualitative comparative analysisconsumer segmentationdestination image formationBusiness Information Management (incl. Records, Knowledge and Information Management, and Intelligence)

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    CC BY-NC-ND 4.0

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