Author name: handsomeavin

A picture can tell thousands of words. Can we analyze images posted on social media and review platforms? Yes, we can. With the advancement of the Artificial Intelligence area, researchers can use deep learning to understand images. We have used deep learning to Investigate the Digital Behaviour of consumers. In this research, 4,000 photos of …

Deep Learning can be used to Investigate the Digital Behaviour of consumers Read More »

The following Figures represent consumers’ travel behavior on Social Media (SM). This can be used as a tool to formulate your social media strategies. To know more details, read my following co-authored article- ABDUNUROVA, A., USPANOVA, M., HASAN, R., SURAPBERGENOVA, Z., & KUDAIBERGENOV, N. (2020). Pre-Purchasing and Post-Purchasing Travel Behavior on Social Media: The Case …

Pre-Purchasing and Post- Purchasing Travel Behavior of Consumers on Social Media-Tools for your Social Media Strategies Read More »

The Google Ads Keyword Planner is not only effective for SEA, but also for SEO. This free tool allows Marketing Professionals to research potential keywords to use in their campaigns and ad groups. In this Video, B. Mangold (from Loves Data) explains how you can use the Google Ads Keyword Planner and choose right keyword …

How to use Google Keyword Planner ? Read More »

Some of you might not be very familiar with “Google Search” and as Digital Marketing Professors, we have found that it is not very clear to our students although they do spend a lot of time on Searching information/things on Google/Bing… (and on other Search Engines). So, we share this small video from “Google”, which …

How “Google Search” Works ? Read More »

As many other sectors, the travel and tourism industries faced great challenges following the Covid-19 pandemic, with confinements and border closures bringing travel to a halt. In this regard, the purpose of our research was to examine tourists’ chatbot usage intentions in service encounters within the context of a future international travel, assuming continued social …

The potential of chatbots in travel and tourism services in the context of social distancing : Focus on Habit Read More »

I did a Twitter analysis based on recent 6000 tweets. The text-mining results are provided below- It appears from the following word cloud that it is not only the outage impacting this brand, but also the whistleblower is impacting this brand image of Facebook. From my analysis, I found that people are expressing surprise-type feelings …

What’s going on with Facebook after the outage and whistle-blowing? Read More »

From one of our research, we found that nonphysical robots, like artificial intelligence in smartphones (Please see photo 6 below), are the most easily identified and preferred shape (mean: 3.65). We can also see from the following pictures and statistics that trash bins (photo 2) or tray robots (photo 4) (mean: 3.49; 3.47, respectively) are …

What shapes of robots are preferred by consumers in hospitality services? Read More »

The following three tips are based on our published research in a book chapter. The chapter details are provided later. Tip 1: The number of followers of influencers is overrated. Businesses need to understand that Number of followers is not the only factor defining an influencer. Micro-influencers with fewer followers may lead to higher sales …

3 important tips to consider for your Influencer Marketing Read More »

Through social media, consumers can interact with Key Opinion Leader (KOL), publish User-Generated Content (UGC), and view products recommended by their network. Key Opinion Leaders (KOL) on social media can influence a consumer’s purchasing decision process, the network community is an essential means of improving the learners’ cognitive level, and the learners’ implicit knowledge plays …

Social Influences on Social Media and Its Influence on Consumer Behaviors Read More »

Is it possible to Text mine the tweets to understand peoples’ feelings towards a brand? Yes, it is possible to understand what type of feelings people are expressing regarding any brand from the tweets of Twitter. I am going to demonstrate the example of Ben & Jerry’s below. We have collected 6000 tweets from Twitter …

Text mining the tweets to understand peoples’ feelings towards a brand (Example: Ben & Jerry’s) Read More »