The purpose of this study was to investigate competitiveness of Travel and Tourism industry of Sub-Saharan African countries in the world market. The study used Normalized Revealed Comparative Advantage (NRCA) and Relative Trade Advantage (RTA) indexes as a measure of competitiveness based on secondary data from ITC trade database covering between 2000 and 2019. The findings of the study revealed that SSA countries like Mauritius, South Africa, Seychelles and Namibia have competitive T&T industry consistently in the years between 2000 and 2019. However, SSA countries such as Botswana, Tanzania, Senegal, Kenya and Rwanda have competitiveness vary by years. Moreover, South Africa has highest comparative advantage followed by Tanzania and Mauritius. The study provided valuable information to industry leaders, policy makers, business owners and international organizations such as UN and UNESCO to design appropriate strategies and systems aiming to sustain and improve travel and tourism industry competitiveness in SSA countries. It is the first study in applying NRCA and RTA indexes to investigate the competitiveness of T&T Industry in SSA countries. Keywords: Competitiveness; export; import; performance; tourism; travel

This review study envisioned to address the basic objective that is to investigate determinants of online consumer behavior. A conventional review strategy was used to address the objective raised above, i.e., systematic strategy, and also, the obtained data were analyzed via content analysis. In addition to the above, the study also employed descriptive research design to present the obtained result descriptively. According to the generated findings, purchase intention is the most studied area, which is followed by adoption, and conversely, continuance or repurchase stage of online consumer behavior is the most underresearched area. Perceived usefulness, perceived risk, attitude, perceived ease of use, trust, social influence, subjective norms, perceived enjoyment, security, perceived behavioral control, web design quality, privacy and security concerns, demographic factors (e.g., age, gender, occupation, education, and income), perceived value, service quality, perceived satisfaction, psychological factors (e.g., relative advantage), facilitating conditions, and consumers’ experience are the most influential factors significantly affecting online consumer behavior at large. Therefore, it is advised that industries those are experienced or newcomers in the market to work on the identified factors determining the online consumer behavior, to sustain and achieve success in this dynamic world.