Africa's tourism potential is acknowledged to be significant but underdeveloped. This paper uses both cross-section data and panel data for the period 1996–2000 to identify the determinants of tourism arrivals in 43 African countries, taking into account tourists' country of origin. The results strongly suggest that political stability, tourism infrastructure, marketing and information, and the level of development at the destination are key determinants of travel to Africa. Typical ‘developed country determinants’ of tourism demand, such as the level of income in the origin country, the relative prices and the cost of travel, are not so significant in explaining the demand for Africa as a tourism destination. It is therefore recommended that attention should be given to improving the overall stability of the continent and the availability and quantity of tourism infrastructure.

South Africa has experienced a significant increase in tourist arrivals over the past ten years. The challenge is to sustain this growth and therefore it is important to understand the factors that influence inbound tourism to South Africa. The purpose of this article is to identify the various determinants of inbound tourism to South Africa from different source markets (categorized in continents). Time series quarterly data from 1993 to 2004 is used in the analysis of tourist arrivals. Cointegration analysis in a multivariate framework is used and the authors find that income, relative prices and travel cost are strong determinants of tourist arrivals (as with other destinations). They also find that climate and capacity play significant roles.

Purpose – Little empirical research has been conducted on competitive intelligence (CI). This paper aims to contribute to the quantitative strand of the CI literature by exploring and validating the theoretical constructs of the CI process. Design/methodology/approach – Data from 601 questionnaires filled out by South African and Flemish exporters were subjected to exploratory factor analysis and construct equivalence analysis between the sub-samples. Findings – The results showed that the CI process consists of three constructs, while the context in which CI takes place consists of four constructs. This agrees to some extent with the literature. When verifying the constructs for both cultures it was found that all but one CI context construct can be viewed as equivalent in both groups. Bias analysis identified one item in the questionnaire that was biased. Via regression analysis it was also indicated that the context in which CI takes place influences the CI process to a large extent. The research identified size as an important influencing factor in a business' CI process. Practical implications – Businesses involved in CI should take note that an improvement in their formal infrastructure, employee involvement and internal information processes could enhance their CI capability. Originality/value – This paper contributes towards the formalising of the constructs of competitive intelligence.

While cultural events are primarily hosted to enhance, expand and celebrate a certain culture, the economic role that these events play in the host towns are often overlooked. The economic importance stems from the expenditure by attendants that filters through the local economy, stimulating output in the economy. This note makes use of primary data obtained from visitor (demand side) and business (supply side) surveys to determine the local economic impact of the three leading arts festivals in South Africa. The results indicate that the location and size of the town is an important factor in the impact of the event on the town and the region. Copyright (c) 2006 the author(s). Journal compilation (c) 2006 RSAI.