Hospitality Industry Decision Analysis in Malta

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Having worked extensively in the travel and hospitality sectors, author questioned what made people decide in favour of choosing one service provider instead of another. There are always a multitude of reasons why consumers decide one way or the other. These many reasons are what the author refers to as decision-choice criteria (DCC). The final choice is the result of a multi-criteria decision analysis (MCDA) by the potential buyer. Initially, the research sought to analyse those criteria that make a potential customer choose between a number of 5-star hotels. 24 DCC were framed within the four perspectives of the Balanced Scorecard. Prioritising the 24 DCC resulted in a hybrid-BSC or a Prioritised Scorecard (PSC) subsequent to two major quantitative surveys. The demand-side survey targeted potential superior hotel customers. The supply-side exercise targeted superior hotel executives in Malta. The MCDA method chosen to analyse responses was the Analytic Hierarchy Process (AHP). When the results of both surveys were compared, a strong correlation was evident. In other words, hotel managers in Malta have a very good idea of what a customer expects from a 5-star hotel.

Autorentext

Dr Alfred Quintano is a lecturer at the Institute for Tourism, Travel and Culture at the University of Malta. In 2015 he successfully defended his PhD thesis on multi-criteria decision analysis for superior hotels at the University of Portsmouth. He came to academia following senior management positions in the airline and hospitality industries.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659930829
    • Genre Economy
    • Anzahl Seiten 376
    • Herausgeber LAP Lambert Academic Publishing
    • Größe H220mm x B150mm x T24mm
    • Jahr 2016
    • EAN 9783659930829
    • Format Kartonierter Einband
    • ISBN 3659930822
    • Veröffentlichung 19.10.2016
    • Titel Hospitality Industry Decision Analysis in Malta
    • Autor Alfred Quintano
    • Untertitel Application of a Hybrid-Balanced Scorecard
    • Gewicht 578g
    • Sprache Englisch

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