Journal of Hospitality and Tourism Technology · 2014 · 33 citations · 18 references
BusinessMarketingConsumer BehaviorTourismTransportConsumer SegmentationOnline Consumer BehaviorTravel BehaviorTravel BehaviourCluster AnalysisCustomer SegmentsMobile Consumer BehaviorMobile DiffusionOnline Consumer Segmentation
Purpose – This study aims to identify user categories of mobile travel services and analyze the differences between the categories based on individual characteristics, the individuals' perceived barriers to use internet-/mobile services during a trip and the individuals' preferred channel strategies. Design/methodology/approach – An extensive online survey in Finland was conducted to collect the data and a cluster analysis is used to identify the user categories. Findings – The study indicates that there are four user categories of mobile travel services: “info-seekers”, “checkers”, “bookers” and “all-rounders” and one group of “non-users”. Research limitations/implications – Due to the online data collection method and the self-selective process, the sample may be biased towards respondents finding electronic travel services important. It would be of value to conduct similar studies on a representative sample of the total population of different countries. Practical implications – The identified categories can be seen as consumer segments for which travel service providers can target mobile services. Originality/value – This study contributes with a categorization of mobile travelers and provides insights on the diffusion of mobile travel services.
18
Dimensions of Consumer Expertise
Joseph W. Alba, J. Wesley Hutchinson · Journal of Consumer Research · 1987 · 4.3K citations · Full text
Business, Marketing, Psychology +11
Technology Readiness Index (Tri)
A. Parasuraman · Journal of Service Research · 2000 · 3.2K citations
Luiz Moutinho · European Journal of Marketing · 1987 · 1.2K citations