This article aims to identify the determinants that influence business tourism income and that may be controlled by economic agents and policy makers of destination countries. For the development of the empirical study, a dynamic panel model by the Generalized Method of Moments (GMM) was estimated using the Gretl 2016a software, and a sample of 122 countries for the period 2002–2013 (12 years) was used. The study reveals that, for the development of policies to stimulate the growth in the short and long-term of business tourism income, countries should develop measures that encourage capital investment in tourism and foreign direct investment.

In the last decades, several studies related to the Service-Dominant Logic approach were carried out, where the tourism industry is not an exception. As such, multiple works associated with this research stream have been developed, with a special focus on the tourist value co-creation. This article presents a conceptual model that aims to aggregate the various dimensions of customer value co-creation with its antecedent and consequent factors in the tourism industry. On the other hand, it proposes practical implications for the tourist organizations building on conceptual contributions. Thus, this article reveals the importance of other constructs of tourist value co- creation which surpass the behavioral dimension of the customer, namely, attitude, significance and recognition. Furthermore, this study systematizes the multiplicity of antecedent and consequent factors, recognizing that they may be grouped into factors associated to the company as well as to the customer.

The COVID-19 pandemic had a disastrous effect on the growth in business tourism, emphasizing the role of information and communication technologies in the implementation of new meeting models. Consequently, new needs and concerns of the business tourist may have arisen, which should lead business tourism organizations to consider new attributes in their value proposition. Thus, this study aims to understand the determinants of business tourism spending and the number of business meetings, in the European Union, to aid the formulation of economic and marketing policies, in the post-pandemic period. For this purpose, a literature review is carried out for the periods before, during, and after the pandemic phase; additionally, a panel data analysis is performed using data from the 28 countries in the European Union. The results identify new typologies of determinants, describing first-order (global-scale) and second-order (European-scale) determinants and identifying important practical implications.

This article aims to understand the determinants influencing the number of association meetings held in countries worldwide and which may be controlled by their economic agents and policymakers. For this purpose, we use a dynamic panel model with data provided by the Data World Bank, the World Travel & Tourism Council, and the International Congress and Convention Association, in a time series of 8 years. The results reveal the importance of the experiences obtained by the tourists in previous meetings, as well as the countries’ need to implement measures to stimulate the dynamism of economic activity and political stability.

This paper aims at determining the factors that influence the growth of international business tourism and understanding whether the demand growth of business tourism spreads across neighbouring countries. For the development of the empirical research, data has been collected from a sample of 136 countries worldwide, and spatial econometric techniques have been used. Evidence that supports the idea that the main factors related to the increase in incomes of business tourism are the private investment on tourism assets, the leisure tourism and the trade openness in relation to the outside world is presented. This study also reveals that the demand of business tourism in a country is not contagious, that is, the demand varies neither with the demand of its neighbours nor with their exogenous characteristics. The results have important implications for the choice of tourism policy goals at national levels and the corresponding policy instruments.