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?

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.

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.

Fiji's tourism industry : a SWOT analysis

Within the last two decades Fiji’s tourism industry has grown dramatically, in the process overtaking the traditional export sector of sugar as the main foreign exchange earner and employment creator. Since Fiji depends enormously on tourism for its growth and development, this paper provides an analysis of the Strengths, Weaknesses, Opportunities and Threats on
the tourism industry. The paper aims to provide a clear picture of the tourism industry in Fiji and attempts to provide information, particularly to the policy makers, that will assist them in making policy decisions regarding the future growth and development of the industry - at a time when the industry's image has been tarnished as a consequence of Fiji's third coup in May 2000. The paper also provides some recommendations that need to be considered by policy makers and incorporated into any future development plans on the Fiji tourism industry.

A tourism demand model for Fiji, 1970-2000

Despite the growing importance of the tourism industry, little is known about the determinants of tourism demand in Fiji. The major findings of analyses of the 1970?2000 period are that growth in income in Fiji?s main source countries for tourists leads to an increase in visitor arrivals, while relative prices and substitute prices negatively impact visitor arrivals in the long run. This implies that Fiji needs to maintain price competitiveness. Empirical evidence was also found that coups impede the short-run growth of the industry.

Testing for the random walk hypothesis in the case of visitor arrivals : evidence from Indian tourism

Testing for the random walk hypothesis, which asserts that a series is a non-stationary process or a unit root process, in the case of visitor arrivals has important implications for policy. If, for instance, visitor arrivals are characterized by a unit root, then it implies that shocks to visitor arrivals are permanent. However, if visitor arrivals are without a unit root, this implies that shocks to visitor arrivals are temporary. This study provides evidence on the random walk hypothesis for visitor arrivals to India using the recently developed Im et al. (2003) and Maddala and Wu (1999) panel unit root tests. Both tests allow one to reject the random walk hypothesis, implying that shocks to visitor arrivals to India from the 10 major source markets have a temporary effect on visitor arrivals.

Tourism and economic growth: a panel data analysis for Pacific Island countries

The contribution of tourism to the economic growth of Pacific Island countries (PICs) has achieved significance in the past decade. The shift in the economic policies of the PICs from the late 1980s has been decisively away from import substitution and agriculture to urban-based manufacturing and services sectors. Tourism is the main component of the services sector in the PICs. The contribution of tourism to economic growth in Fiji, Tonga, the Solomon Islands and Papua New Guinea is expected to grow. The authors use panel data for the four PICs to test the long-run relationship between real GDP and real tourism exports. They find support for panel cointegration and the results suggest that a 1% increase in tourism exports increases GDP by 0.72% in the long run and by 0.24% in the short run.