Push- and pull forces are considered the most important motivational factors in driving tourism demand. Push forces are motivational forces that arise due to the individual’s need to travel, while pull forces are destination attributes which pull the traveller to the specific destination and in doing so they satisfy the need of the traveller. Understanding why people travel, how they go about selecting their holiday destination and why one country is preferred to the other, is vital to the continued success of the tourism industry. The needs and wants of travellers are constantly changing, therefore, it is imperative that tourism businesses excel at developing new products and services which are better suited to the needs of consumers. The primary objective of this study was to determine the push- and pull forces that influence outbound destination choice in Nelson Mandela Bay Metropole. The study investigated and analysed how the independent variables (push- and pull factors) influence destination choice (dependent variable). From a comprehensive literature review, a hypothetical model was developed to test the relationships between push-and pull forces and destination choice. Twelve hypotheses were formulated to test the relationship between four push forces, eight pull forces and destination choice. The study sought the perceptions of Nelson Mandela Bay Metropole residents and utitised the quantitative research paradigm. A survey was conducted with the aid of a structured self-administered questionnaire, distributed via e-mail and as a hard copy. A combination of convenience- and snowball sampling was utilised. The final sample comprised 302 respondents. The validity of the measuring instrument was ascertained by using exploratory factor analysis. The Cronbach’s alpha values for reliability were calculated for each of the factors identified during the exploratory factor analysis. The top ten destinations visited and intended to be visited were indicated. United Kingdom was the most visited international destination for both leisure and business purposes, while The United States of America was the most popular international destination to visit next for both leisure and business purposes. Pearson product-moment correlation and multiple regression analysis were used to test the correlation and significance of the relationships hypothesised between the various independent and dependent variables. Three statistically significant relationships were found between the push forces (physical and stature motivators and destination accessibility) and destination choice. Four statistically significant relationships were found between the pull forces (events, natural attractions, political issues and general infrastructure) and destination choice. The empirical findings further confirmed that an inter-relationship between push- and pull forces within destination choice does exist. However, pull forces influence push forces to a larger extent. Analysis of variance calculations were used to identify if significant relationships exist between the twelve demographic variables and nine reliable and valid independent variables. Furthermore, post-hoc Scheffè tests identified where the significant differences occurred between the different categories. Cohen’s d-values were calculated in order to assess the practical significance of the mean scores. A total of sixteen practical significant relationships were identified. Travel companies should compile travel packages and tours that serve the needs of both leisure- and business travellers. They can use social media as a communication- and promotion tool to entice travellers to specific destinations. The business travel packages should be all inclusive and include transportation, accommodation and even entries to events. The visual aids, utilised within the marketing material, should entice travellers to want to visit these destinations, and outline the favourable general infrastructure available. When marketing outbound destinations, travel service providers must pay attention to demographical variables such as gender, age, ethnical affiliation, income and marital status to compile travel packages that satisfy the needs of specific groups.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:26884 |
| Date | January 2015 |
| Creators | Ferreira, Daniel Petrus |
| Publisher | Nelson Mandela Metropolitan University, Faculty of Business and Economic Sciences |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis, Masters, MCom |
| Format | xviii, 267 leaves, pdf |
| Rights | Nelson Mandela Metropolitan University |
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