The study aims to analyze how the World's Most Innovative Companies apprise themselves on the Twitter platform. To reach this aim, the data mining method is used. In the study, tweets published by the top 50 companies in the 2021 report of the World's Most Innovative Companies published by Forbes, were discussed as an example. Tweets contain the dates between 03.06.2021 and 10.06.2021. The tweets were evaluated through the Maxqda 20.04 program, sentiment analysis was performed, the frequency frequencies of the words included in the tweets were examined and the word cloud was extracted. According to 1200 tweets analyzed, the most frequently used words were new (12.2%), help (6.9%), learn (6.7%), details (6.4%), and team (6.1%). The most frequently used hashtags other than the companies' own names observed as #pride (10.3), #worldenvironmentday (5.8%), #ai (5.2%), #pmi (4.5%), #primeday (3%). 9) and #covid19 (3.2%). In the sentiment analysis which was performed on tweet contents, it was found that 39.1% of them were partially positive, 31% were positive, 25.1% were neutral, 4.1% were partially negative and 0.7% of them were negative. It is considered that this study, which is carried out on how businesses that want to take their place in the innovation world, share their "what" with the whole world and their stakeholders, whose innovation studies they follow, will be beneficial for the managers of companies trying to be innovative and academicians working in the field on innovation.
Primary Language | English |
---|---|
Journal Section | Makaleler |
Authors | |
Early Pub Date | December 29, 2021 |
Publication Date | December 31, 2021 |
Acceptance Date | December 28, 2021 |
Published in Issue | Year 2021 Volume: 8 Issue: 15 |