Online from: 1989
Subject Area: Tourism and Hospitality
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|Title:||Structure and process modeling of seemingly unstructured leisure-travel decisions and behavior|
|Author(s):||Drew Martin, (College of Business and Economics, University of Hawaii, Hilo, Hawaii, USA), Arch G. Woodside, (Department of Marketing, Carroll School of Management, Boston College, Boston, Massachusetts, USA)|
|Citation:||Drew Martin, Arch G. Woodside, (2012) "Structure and process modeling of seemingly unstructured leisure-travel decisions and behavior", International Journal of Contemporary Hospitality Management, Vol. 24 Iss: 6, pp.855 - 872|
|Keywords:||Decision making, Ethnography, Journey planning, Long interviews, Modelling, Tourism management, Tourist behaviour, Unstructured decision making|
|Article type:||Research paper|
|DOI:||10.1108/09596111211247209 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
Purpose – This paper aims to introduce a structuring and processing model (SPM) as a framework for tourism decision making research.
Design/methodology/approach – The study employs McCracken's long interview to collect data in field settings. The study introduces advances in Mintzberg
Findings – SPM enables mapping and comparing visitors' plans, motivations, choices, and consequences. The results demonstrate nuanced decision-behavior dynamics and complexities of visitors' travel-related unconscious/conscious thinking and behavior.
Research limitations/implications – SPM does not attempt to generalize findings to large survey samples.
Practical implications – Travel planning and execution dynamics dictate that a decision-making funnel metaphor in consumer research does not capture such trip complexity because additional decisions are made when the traveler arrives at the destination.
Originality/value – SPM is dynamic and inclusive explaining simultaneous planning elements as well as considering sub-decisions occurring before and after different phases in the process. This model includes both conscious and unconscious internal retrievals as well as contextual influences relating to current planning affect the decision-making process.
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