The roles of social bonds in the Australian tourism network

There is limited published research on the social bonds between employees in two organizations. This paper aims to examine 1) relationships in the Australian tourism industry, 2) the nature and role of social bonds and commercial friendships, 3) the nature and roles of the investments in economic and social resources, and 4) the nature of personal relationships in the tourism network. The perspective and attitudes of the tourism network participants become clear and their vested interests are highlighted. Network pictures are developed for the 5 key sectors of this industry. The adaptations of these sectors are also discussed. The nature and role of social bonds and commercial friendships is examined. The Leximancer program is used to qualitatively analyze interview transcripts. Findings show the centrality of relationships in this industry and the importance of social bonds to the travel agency sector. This study provides additional insight into the nature of social bonds in the development of successful business to business relationships. A discussion of antecedents and outcomes of social bonds will be further developed.<br /

Profiling generation Y - Where do they travel?

While there are several studies which discuss travel behaviour of senior travellers, there is limited discussion of the travel habits of generation Y. The objective of this paper is to profile Generation Y based on their travel attitudes and behaviour in order to better understand this segment. This research utilizes data provided by the Roy Morgan Research Centre in Australia (RMRC). The data were collected in 2006 and 2007 from a large sample of 46,000 Australian respondents. Generation Y is compared to other Generations on travel motivation, holiday activities, booking methods used, media habits and destination preferences. Generation Y has distinctive travel attitudes and destination preferences. Directions for future research are outlined

Understanding travel behavior using demographic and socioeconomic variables as travel constraints

Samdahl and Jekubovich (1997) view constraints as a subset of reasons for not engaging in a particular behavior. There is limited empirical research on the role of demographic and socioeconomic variables as travel constraints. This study investigates the relationships between a wide range of short and long trip planning and travel behaviors and sociodemographic constraints comprised of age, income and life cycle.This research uses data generated from a cross-sectional, self-completed survey on travel and tourism which was collected during 2003 and 2004 from 49,105 Australian respondents. This paper utilizes binomial regression to find that age, income and life stage have significant differential and interactive effects on travel behavior. The results show that sociodemographic variables act in different ways to constrain/free different types of travel behavior. Implications are provided for national and state based tourism authorities. There is a need to understand these phenomena. Current research is addressing these issues

Reasons why dissatisfied customers exhibit behavioral loyalty

The development of supplier loyalty and its potential application to the business-to-business settings has not been widely explored. Day (1969) cautions that loyalty viewed in terms of purchase decisions may not distinguish between loyalty and spurious loyalty. This study follows the composite loyalty approach providing both behavioral aspects (purchase intentions) and attitudinal loyalty in order to fully explain the concept of supplier loyalty. This framework has not been previously applied in the B2B literature.The objective of this research is to identify reasons why B2B customers do not show consistency between attitudinal and behavioral loyalty and why dissatisfied customers do not switch suppliers. A survey was conducted during 2006 with a sample of executives from 240 SME companies in a large Asian city. A range of measures was obtained including attitudinal loyalty, behavioral loyalty, satisfaction and open ended responses on nature of current problems. Following Dick and Basu (1994), customers are classified into loyalty groups. Customers having high and low attitudinal loyalty are compared on satisfaction, switching attitudes and problems within the relationship. Constraints to switching by the dissatisfied customers are discussed. A profile of the &quot;Spurious Loyal&quot; customer is provided. This study seeks to better understand the nature of dissatisfaction and loyalty within these long term focal relationships. <br /

Regional branding : perspectives of tourists in Australia

This paper aims to explore the overlap and gap between the communication efforts of destination marketing organisations (DMO)&rsquo;s and consumer perspectives of tourism destination within Australia. This paper applies qualitative and quantitative methodologies. Three stages of analysis are discussed. The web site content of state tourism authorities are analysed using Leximancer. The results show that states are using differing perceptual dimensions to portray characteristics of state tourism destinations. It is also found that consumers can recall the slogans and positioning of some states to a much greater extent than others. Finally it was shown that there was little correspondence and consistency between state positioning slogans and the destination promise and actual content on the web site.<br /

Socio-demographic constraints to travel behavior

Purpose &ndash; This study aims to ascertain the effect of socio-demographic constraints on dimension of travel choice. This study also seeks to derive personal ecological explanations for variation in travel preference, travel intention and travel choice behavior of a wide range of destinations. Design/methodology/approach &ndash; A large representative sample of 49,105 Australian respondents is utilized. Binary logistic regression is used to determine the impact of constraint variables. Findings &ndash; Age, income and life stage have significant differential and interactive effects on travel behavior. Socio-demographic variables act in different ways to constrain/free different types of travel behavior. However there are significant levels of travel by even the most constrained groups as well as significant amounts of non-travel by the least constrained sectors of our society. These impacts are country specific. Research limitations/implications &ndash; The travel motivations of constraint groups need to be considered to order better understand travel behavior. Investigation of psychological and ecological facilitators and constraints to travel is needed. Practical implications &ndash; This information is most useful for market segmentation and the development of constraint group destination marketing plans. Managers can use utilize such results to minimize the barriers to travel by particular groups. Originality/value &ndash; This paper utilizes a large database to provide insights into the personal ecological constraints to travel.<br /

Linking attitudes and demographics in a tourist segmentation model : a two-stage approach

Segmentation has been widely studied in tourism research e.g. Dolnicar (2004). Dawley (2006) points that commonly used segmentation variables such as demographics lead to identifiable segments which are not actionable while other useful approaches e.g. psychographics, are actionable but not identifiable. The objective of this paper is to develop a two-stage linkage approach to segmentation whereby cluster analysis using psychographic variables is conducted within demographic group. Demographic groups are selected based on propensity to travel. This research utilizes data generated from a cross-sectional self-completed survey of 49,105 Australian respondents on travel and tourism. The managerial usefulness of this segmentation is assessed. Clearly segments can be directly linked both demographically and psychographically.<br /

Understanding travel behavior using demographic and socioeconomic variables as travel constraints

Samdahl and Jekubovich (1997) view constraints as a subset of reasons for not engaging in a particular behavior. There is limited empirical research on the role of demographic and socioeconomic variables as travel constraints. This study investigates the relationships between a wide range of short and long trip planning and travel behaviors and sociodemographic constraints comprised of age, income and life cycle.This research uses data generated from a cross-sectional, self-completed survey on travel and tourism which was collected during 2003 and 2004 from 49,105 Australian respondents. This paper utilizes binomial regression to find that age, income and life stage have significant differential and interactive effects on travel behavior. The results show that sociodemographic variables act in different ways to constrain/free different types of travel behavior. Implications are provided for national and state based tourism authorities. There is a need to understand these phenomena. Current research is addressing these issues.<br /

Interactions and networks in Australian tourism

There are many participants in the tourism network who have vested interests in tourism development. These organizations include hotels, associations of hotels and hotel owners, inbound travel agents, travel wholesalers, tourism industry associations, airlines, cruise lines, tourism promotional agencies, regional and local tourism authorities, SME tourism businesses, conference and convention centres and many more. Individuals in the tourism industry intermittently change employment. They often remain in the industry and can move between types of organizations. Their contacts, associations and personal networks remain useful and indeed are utilized. The Interactive Approach postulated by the IMP Group proposes that both suppliers and manufacturers are often involved in close, long-lasting adaptive relationships. Firms within relationships must work together, share objectives, share information and also communicate clearly and precisely using a common language. Here relationship partners should have a similar point of view on the meaning of marketing strategy and related concepts including market segmentation, differentiation and competitive positioning.This paper seeks to assess the nature, perspectives and characteristics of interactions in the tourism network in Australia. There are two stages of this research. The first stage obtained the perspectives of network participants on the challenges facing tourism, key growth segments, brand and promotional strategies and customer insights and satisfaction levels. Participants were also asked to provide advice to the national marketing organization on a range of developmental topics. The second stage of this research assesses the interaction patterns among network participants Network picture, network position, resource constellations, interaction, resources and activities, interdependence, adaptation, actor bonds, strategy and change are also assessed. The relationships are political and consultative in nature. There is much interdependence and possible conflict between the network participants. The national tourism body has particular skills in tourism planning and tourism research. They also have significant resources and the ability to influence inbound tourism patterns. This paper seeks to assess and understand the interactions within this network.<br /

Interaction perspectives of individuals and destination marketing organizations in the tourism network of Australia

This paper seeks to assess the nature, perspectives and characteristics of interactions in the tourism network in Australia. The pattern of interactions between network participants is crucial in defining the network and its boundaries. Ford and Hakansson (2007) develop a structure of interactions between participants in a network. Time dimensions of the interactions are sequence, ordering and trajectory. Relativity dimensions are jointness, interdependence and heterogeneity. Interaction can be problem solving both incurring costs and producing benefits.There are two stages of this research. The first stage obtained the perspectives from 35 organizations regarding the challenges facing tourism, key growth segments, brand and promotional strategies and customer insights and satisfaction levels. The second stage of this research uses follow up personal interviews and assesses the interaction patterns among network participants. The sequence, ordering and trajectory of the interactions are examined as are the jointness, interdependence and heterogeneity of the interactions. A network map is produced based on the frequency and importance of the communications and interactions. The research will also address key questions identified by Johnston, Peters and Gassenheimer (2006). Is the network characterized by tighter or looser coupling? How important is collaboration to the survival (or success) of each participant?<br /