The hospitality industry is ready for a transformation, yet there are still some challenges to overcome before the revolution can take place.The most immediate obstacle being that, for most hotels, data is still an under-used asset.
The General Data Protection Regulation (GDPR) will come into force soon. What changes will be brought by the new European law? The session will discuss the background and the implications of a cornerstone legislation, with a slight accent on data use in marketing advertisement.
This Webinar is co-hosted by University of South Florida Sarasota-Manatee and M3 Center for Hospitality Technology and Innovation.
The focus of this online panel discussion is academic reviewing, its importance as well as the benefits and challenges brought by it. We will be discussing the ethical issues too and providing some tips and tricks.
Literature review is an important component of any research – be it for doctoral thesis/ dissertation or for writing a paper for publication purpose.
The recent avalanche of sexual harassment allegations continues to destroy careers and jeopardize businesses. While it’s the rich and famous who make the headlines, most sexual harassment charges and allegations involve unknown, average workers – maybe even employees at your business.
Researchers in a wide range of business management studies, particularly hospitality and tourism research are frequently involved in the development and revision of multiple-item measuring instruments, including scales and subscales.
The next 15-20 years will witness the massive introduction of robots – both as consumer robots (including companion robots) and industrial robots as result of the advances in robotics, artificial intelligence and automation. Economists expect this with mixed feelings.
This webinar focuses on discussing new methods – namely qualitative comparative analyses (QCA) and necessary condition analysis (NCA) – in tourism marketing studies. QCA, which bridges the gulf between quantitative and qualitative methods, explores the sufficient and consistent combination of the causal indicators leading to the given outcome.
Structural Equation Modeling (SEM) is a statistical approach to analyze a hypothetical framework. It allows a researcher to test and develop theories, and to test the relationships between latent variables on the conceptual model. PLS-SEM, a major type of SEM, can handle theory development and is lenient towards model’s assumption of data normality and sample size.
ANAHEI is proud to host a panel on “Cuba as a Tourism Destination for Americans” as part of upcoming “International Education Week” (IEW). IEW is a joint initiative between the U.S. Department of Education and U.S. Department of State.
PLS-SEM has recently gained increasing attention in various disciplines including management information systems, marketing, strategic management, accounting, family business research, operations management, and organizational research. Researchers and practitioners appreciate the various advantageous features that PLS path modeling offers in practical applications.