Focus and Scope

The International Review of Quantitative Analysis in Tourism and Enterprise Management (QATEM) is dedicated to advancing quantitative research that critically examines the evolving landscapes of tourism and enterprise. The journal’s scope encompasses a wide range of topics reflecting the complex interplay between economics, management, society, and technology, with a strong emphasis on data-driven, empirical analysis.

 

QATEM publishes original research articles, empirical studies, methodological papers, and theoretical developments that contribute to quantitative advancements in the following areas:

  • Tourism Studies: including destination management, tourism demand modelling, forecasting, tourism economics, visitor satisfaction analysis, and performance metrics.
  • Enterprise and Organisational Studies: including quantitative analysis of SME performance, labour productivity, innovation outcomes, and leadership effectiveness in tourism and service sectors.
  • Hospitality and Service Management: focusing on service quality metrics, customer satisfaction modelling, employee performance, and operations optimisation.
  • Sustainability and Development: including quantitative evaluation of sustainable tourism practices, environmental impact assessments, and tourism's contribution to local economic development.
  • Policy and Governance: including evidence-based analysis of tourism policy impacts, regulatory effectiveness, investment trends, and governance performance in enterprise sectors.

 

QATEM particularly welcomes studies using statistical modelling, econometrics, surveys, big data analytics, machine learning, spatial analysis, simulation, network analysis, and other advanced quantitative techniques. Papers that present robust methodologies, comparative results, or policy-relevant insights are especially encouraged.

 

The journal is global in scope and invites submissions from all regions, with particular interest in research focused on the Global South, emerging economies, and data-scarce environments. Interdisciplinary approaches linking quantitative analysis with economics, management science, environmental studies, or public policy are also welcome.