Segmenting Australian online panellists based on volunteering motivations

Purpose– The purpose of this paper is to seek to assess whether online commercial panel volunteering can be segmented based on their motivations, using the volunteer functions inventor. The authors also investigate whether segments exist which differ in demographic characteristics.Design/methodology/approach– The authors survey 484 Australian online panel volunteers using a adapted version of the 30 item of the volunteer function inventory (VFI) scale developed by Clary et al. (1998). Data were analysed using confirmatory factor analysis (CFA) and cluster analysis, as well as ANOVA and χ2 test comparisons of demographics between clusters.Findings– CFA verifies that the VFI scale is suitable instrument to gauge online participants’ motivations. Cluster analysis produced a five-cluster solution, where respondents with low motivations overall comprised the largest grouping. Segments are interpreted by assessing the difference between the total sample average and the segment profile. The examination also identifies that the only demographic factor that varies across the five clusters is “respondents” employment status”.Research limitations/implications– Future research could explore if differences in segments result in differences in online participation. The high number or respondents with low motivations may explain the relatively high levels of churn that take place within online panels and as a result panel operators would need to continually attract new members. Further research could also investigate whether the levels of motivation change over time and if so what effect such variation would produce on respondents’ retention.Originality/value– Research on online panel respondents’ motivation is still limited and investigating online panellists’ motivation as volunteers is very important as it unveils, as in the study herein reported, that alternative types of respondents may be driven by different factors when joining an online panel (or completing a given survey). Recruitment strategies could, therefore, be shaped to suit the motivation of the different segments. By refining the matching between volunteers’ profiles and their motivation, managers could improve how volunteers are recruited, managed and retained

Tourism discretionary spending choice behaviour

Studies of tourism demand are numerous. But studies of how consumers apportion discretionary resources to tourism and across other competing categories of discretionary expenditure are non-existent. Therefore, how individuals and households make trade-offs between, or assess the respective utilities of, the various categories of discretionary expenditure and allocate discretionary financial resources, appears to be unknown. This study seeks to address this need by examining discretionary expenditure through choice experiments. The data provide insights into how each type of discretionary expenditure is valued and how each type competes for a share of the discretionary expenditure ‘pie’. We discuss the results with an emphasis on the implications for tourism marketing

New horses for old courses - questioning the limitations of sustainable tourism to supply-driven measures and the nature-based context

It seems a general belief that (1) sustainable tourism is supply-driven, and (2) sustainable tourists are visitors engaging in nature-based travel activities. Results reported in this paper challenge these assumptions. Findings from an online survey indicate that nature-based travel is not solely related to environmentally protective attitudes. Market-driven mechanisms could therefore be used to strengthen ecological sustainable tourism. Only 39 % of respondents classified as ‘Ecologically Caring Tourists’ stated that an intense experience of nature is a motivation for their vacation travel behaviour. The findings indicate two possible directions for the strengthening of sustainable tourism measures: (1) demand-driven mechanisms could be used in addition to supply-side measures to identify and attract groups of tourists with a smaller ecological footprint; (2) the tourism market suitable to increase ecological sustainability is likely to be much larger than assumed by focusing on nature-based tourism only. These findings could be of great benefit to any tourism destination in terms of the development of new tools and the identification of new tourism contexts for managing ecological sustainability

Current state and development of Airbnb accommodation offer in 167 countries

The paper examines the size, structure, distribution, dynamics, and use of Airbnb accommodation offer in 167 countries. Web-scrapping Airbnb website in fall 2018 and 2019 resulted in a datasets on 5.7 million listings, including 3.6 million active listings which have been rented out (reviewed) during the last year. Listings are divided into four groups based on types of properties and numbers of offers hosted by one platform user. The results show that the platform is most commonly used to rent out entire apartments by multi-hosts. The numbers of Airbnb listings in countries depend on the level of economic development and size of inbound tourism. One third of Airbnb supply is located in big cities, another one third near seacoasts. Airbnb offer grows most quickly in its relatively new markets, while in primary urban destinations of some European countries it is stable or decreases. The offer of professional hosts is growing more quickly than of peer-to-peer hosts. Differences in the frequency of use and prices of listings exaggerate the geographical unevenness in benefits and impacts of Airbnb activity. Airbnb supply is not a uniform segment of tourist accommodation and its effects on destinations should be considered in relation to territorial context

Communication-Regulated Social Systems

Peer-to-peer accommodation networks are considered a relatively new phenomenon. But how new are they really? This chapter explores social interactions on these networks and draws parallels to people whose existence has been dated back 65,000 years: Australian Indigenous communities. Despite their very different appearance, rules of engagement and context, traditional communities have far more in common with modern day neo-tribes that may have been thought

Segmenting Markets by Bagged Clustering: Young Chinese Travelers to Western Europe.

Market segmentation is ubiquitous in marketing. Hierarchical and nonhierarchical methods are popular for segmenting tourism markets. These methods are not without controversy. In this study, we use bagged clustering on the push and pull factors of Western Europe to segment potential young Chinese travelers. Bagged clustering overcomes some of the limitations of hierarchical and nonhierarchical methods. A sample of 403 travelers revealed the existence of four clusters of potential visitors. The clusters were subsequently profiled on sociodemographics and travel characteristics. The findings suggest a nascent young Chinese independent travel segment that cannot be distinguished on push factors but can be differentiated on perceptions of the current independent travel infrastructure in Western Europe. Managerial implications are offered on marketing and service provision to the young Chinese outbound travel market

Big data marketing during the period 2012–2019: a bibliometric review

The present study identifies the most significant trends in production of high impact scientific papers related to the Big Data Marketing variable during the period between the years 2012 and 2019 through a revision of the Scopus database, which manages to highlight the relevance of 113 indexed papers. For this purpose, the following descriptive bibliometric indicators are implemented: production volume, type of document, number of citations, and country of application. In the studied time period, the evidence suggests an annual growth in the production volume of papers related to the variable, but with a significant drop in 2017. The knowledge areas that showcases more researches about the Big Data Marketing variable are computer science, mathematics, decision-making, and engineering domain