Turizam

Effect of Sector Vulnerability in the Rainfall, Wildlife Tourism Sector Performance Relationship in Maasai Mara Ecosystem, Kenya

Richard Mose, Christopher Ngacho, Pius Odunga — Mon, 08 Apr 2024 19:29:40 +0200

Abstract

This study sought to examine the role of sector vulnerability in the relationship between rainfall and wildlife tourism sector performance in Maasai Mara ecosystem, Kenya. This study is important because the Maasai Mara being a semi arid area is extremely vulnerable to the effects of climate change. The study adapted a pragmatic research approach that advocates for mixed methods research design. The study was based on a null hypothesis that sector vulnerability does not mediate the relationship between rainfall and wildlife tourism performance. Qualitative and quantitative data was collected using a questionnaire that was randomly administered to 466 respondents. Further qualitative data was collected by use interviews from 30 key informants purposively selected for the study. The results were analyzed using SPSS version 22 and AMOS version 21. The results showed that sector vulnerability mediated the relationship between rainfall and wildlife tourism performance β = - 0.439, t= -4.179, P<.001 this results were further collaborated by content analysis of qualitative data. The study concludes that wildlife tourism is extremely vulnerable to climate change indicator such as rainfall thus sector specific studies should be carried out so as to develop sector specific adaptations.

Key words: Vulnerability, climate change, rainfall, wildlife tourism performace

An Opinion Piece on #ChatGPT - What do Generative Artificial Intelligence Technologies Reveal about Responsible Tourism Education that We don’t Already Know?

Aaron Tham, Hiram Ting, Risidaxshinni Kumarusamy — Tue, 25 Jun 2024 09:25:01 +0200

The purpose of this paper is to evaluate the value of ChatGPT in terms of its responses and depth of progressing responsible tourism education. It is one of the first attempts to ascertain how ChatGPT responds to human-led queries, and whether it can formulate innovative ideas to advance responsible tourism theories into educational curriculum and assessments in the future.

An 'interview' was conducted with ChatGPT to explore the chatbot's responses to a series of questions related to responsible tourism education. The questions were informed by developments on the concept of responsible tourism, and to ascertain whether the chatbot can synthesise and generate radically innovative ideas to advance how the concept can be taught in the future. ChatGPT provided quick responses to ‘interview’ questions posed on its platform. It does engage with the conversation and can formulate preliminary insights to educate students on responsible tourism stakeholder engagement for women and minority groups, though it does not necessarily have the depth to explain how these stakeholders can be equipped to realise desired outcomes. In addition, the ideas emanating from ChatGPT appear rather obvious, with few radical or innovative outcomes to drive the educational landscape of responsible tourism forward.

Basic directions and possibilities of sustainable development of tourism from the aspect of economic indicators of sustainability - Mountains case study

Milena Turčinović, Aleksandra Vujko, Miroslav Knežević — Tue, 25 Jun 2024 09:30:47 +0200

The paper deals with the concept of sustainable tourism in mountainous, rural areas of Serbia and its economic indicators, i.e., the impact of economic indicators of sustainability on the local community, with the aim of pointing out the potential directions of tourism development. The research was conducted in selected rural areas of Zlatibor, Kopaonik, Stara Planina and Fruška Gora. Respondents expressed their opinion on the issue of sustainable tourism development, how sustainable tourism has contributed to the local community and the local population, which elements of sustainability have been fulfilled and in what way. It was concluded that residents of rural mountain destinations believe that truism directly and positively affects the sustainable development of rural destinations, thus confirming the initial hypothesis H that the economic indicators of sustainable tourism development provide a better quality of life for local communities.

Customer Intelligence and Customer Repurchase Behaviour in Hotels in South-West Nigeria

Edwin Chigozie Nwokorie — Tue, 25 Jun 2024 09:38:36 +0200

This study examined the effect of customer intelligence on customer repurchase behaviour in hotels in South-West Nigeria. The model for the research was developed on the consequent variables of the study to test the research hypotheses. A total of 1972 copies of usable questionnaires were retrieved from customers of 160 conveniently sampled midscale and luxury hotels and used for analysis. Descriptive statistics were used to analyze the demographic elements while the One-Way ANOVA was utilized to reveal the statistical relationship between customer repurchase behaviour and the customer intelligence constructs. The linear regression model was employed to test the research hypotheses to determine significant associations and relationships between the consequent variables of the study. Results showed the effectiveness of the regression model in identifying relationships between the consequent variables, in which the four null hypotheses were rejected. The study concludes that a consideration of the factors that have a significant effect on the various dimensions of customer repurchase behaviour and the emergence of customer attrition and retention can help hotel organizations make better product marketing decisions. Recommendations include that hotels should ensure that their customer analysis is directly targeted to ensure the continuous retrieval of actual information that will directly influence business decisions