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This study aimed to assess the determinants of ICT usage at UNESCO World Heritage Sites in Tanzania. Data for this study were collected from August 2017 to February 2018 from 238 World Heritage Site decision-makers. The study stratified these respondents into three strata based on UNESCO’s categorization of WHSs type (nature, mixed, and culture). Systematic random sampling was then used to select respondents from each stratum according to their ratio in the population. Descriptive statistics examined the kurtosis and skewness indices of the output. Testing of the hypotheses involved structural equation modeling (SEM) analysis techniques. The results indicated that WHSs decision-makers would increasingly use ICT when they perceive a relative advantage (PR) and a higher level of perceived less complexity (PCL). Moreover, a higher level of ICT support infrastructures (INF) and support skills (SS) would result in a greater level of ICT usage. Lastly, a higher level of perceived competitive pressure (PCP) and perceived pressure from customers (PPC) would result in a greater level of ICT usage.Only one variable, perceived compatibility, did not have a statistical significant relationship on ICT usage and determine to be an insignificant factor that can influence ICT usage at WHSs. A significant contribution is that the study contributes to expanding the knowledge base of the use of ICT technologies in the tourism industry. The study could be used to develop more robust models concerning ICT determinant factors, not only to WHSs but to other tourism sectors such as training institutions, hotels, ICT vendors, consultants, and the government in Tanzania.

This article tests the tourism growth and financial sector development nexus. Data came from the World Bank and IMF for the years 1995-2020 from 43 selected African economies. We applied System GMM and dynamic CCEMG to estimate short–run effects and JKS Granger non-causality test for causality, FMOLS and FGLS to estimate long–run effects and sets of co-integration tests for co-movements. The findings support mutual reinforcing effects for both inbound tourism growth and financial sector development. Outbound tourism should be monitored and controlled for its negative effects; inbound tourism should be facilitated and promoted for its positive effects. Political stability and trade openness policies should be a priority for both sectors, while foreign direct investments should be monitored and controlled for their ambiguous impacts. In this work, we are able to show that increases in international tourism activities and developments in the financial sector mutually impact each other.

The study’s aim is to examine the mediation effect of consumer perceived value on the relationship between escapism experience components and tourism development. A purposive sampling technique was used to collect data from various hotels in Arusha. One hundred twenty-three questionnaires were distributed, and only 78 were retained for analysis throughout the study. Statistical Package for the Social Sciences (SPSS 27) through descriptive statistics was used to analyse respondent profiles and the normality test of the data. Structural Equation Modelling through AMOS software was used to analyse the relationship of the variable and to test the mediation effect of customer perceived value on the relationship between arousal experience, memory experience, perceived quality, and tourism development. The main findings reveal that customer-perceived value fully mediates the relationship between memory experience and tourism development while partially mediates the relationship between arousal experience and perceived quality in tourism development. With the guide of the experience economy theory, the study’s novelty lies in the mediation effect of customer perceived value on the relationship between the escapism components and tourism development. With these findings, tourism stakeholders, including the hotel industry, are advised to focus on satisfying customers in the whole customer travel experience value chain, which includes before experience, during the experience, and post-experience