This paper presents a review of the research literature on overweight and obesity problem by incorporating medical, economic and marketing research perspectives to shed lights on the growing problem across all ages and socioeconomic strata. We draw upon multidisciplinary research literature to gain a better understanding of the major causes as well as proposed remedies. Some are more likely to be more successful in addressing the difficult problem. Our conclusion is that as the issues are quite complex, no one single solution will work. It probably will require all stakeholders to be involved in order to come up with a reasonable solution to address this difficult problem. More researches need to be conducted, especially research involving cross country comparison to provide greater insights since this problem has become a global problem and not just confined to the developed economies in the West.

Paid search advertising is the most popular online advertising format, and many large firms allocate a considerable amount of their advertising budget to it. In contrast, small and medium-sized firms have a limited advertising budget that potentially forces them to experience the ineffectiveness of paid search advertising. In this study, we identify the various paid search advertising strategies that even small and medium-sized firms can implement and examine the effect of the different advertising strategies on the number of clicks as a primary advertising performance measure. Using the data regarding keyword advertising from a search engine, we find that advertisers can increase the number of clicks not only by increasing their bids, but also by optimal keyword selection, targeting, and active advertisement management. Our findings provide a practical insight that there are many other advertising strategies for the managers to utilize beyond budget efficiently.

The current study uses risk theory to explore factors mitigating consumers’ intention to use SSTs. The findings of an empricial study reveal that the perceived time, security and addiction risk indirectly reduce consumers’ intention to use SSTs through the per-ceived psychological risk. Most importantly, this study’s findings show that an increas-ing autonomy of SSTs strengthens the effects of perceived addiction risk.

This research was conducted to examine the antecedents of perceived service quality (PSQ) factors in Airbnb by using Big Data and Artificial Intelligence. The findings include that the SERVQUAL model requires adjustment in this context, and it is well-enhanced by cognitive and attitudinal factors, including intimacy, authenticity, privacy, and security.