Structure and Process Modeling of Seemingly Unstructured Leisure-Travel Decisions and Behavior
MetadataShow full item record
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 et al.'s approach to structuring seemingly unstructured decision making to explain travelers' decision-making processes. 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.
Showing items related by title, author, creator and subject.
Hicks, Michael John (2012)This thesis advances the understanding of information technology (IT) governance research by considering the question “How do user stakeholders influence the planning and implementation of IT governance?” IT has become ...
MacCallum, Susan Diana (2006)The once dominant view of planning as the discovery of an objective 'public good' has been challenged over the last several decades. Radical uncertainty, social diversity, technological change and popular mistrust of ...
Modelling clinical judgement improved health care delivery: using “how nurses think” to manage the deteriorating patientClay-Williams, R.; Kelly, Michelle; Everett, B.; Perry, L.; McDonnell, G. (2012)INTRODUCTION: This study aims to construct a model for learning reasoning in the workplace, using computer based system dynamic processes, to support clinical decision-making in relation to detection and management of the ...