With the growing number of literature on movie revenue prediction using machine learning
techniques in recent years, a systemic review will help in strengthening the understanding of …

The increase in acceptability and popularity of social media has made extracting information
from the data generated on social media an emerging field of research. An important branch …

Purpose This study aims to investigate the impact of a salesperson's babyface in his/her
profile picture on the number of online reviews the salesperson receives. In addition to …

There has been a significant shift in the purchase of media by brands in the last decade.
Brands have moved from spending money on the ever-present television and print media to …

Online booking of homestays through e-travel portals is based on the virtual brand and
perception, which are largely affected by user-generated electronic word-of-mouth (eWOM) …

In the age of Web 2.0, the rapid growth of user-generated content (eg, consumer reviews) on
the Internet offers ample avenues to search for information useful to both people and …

Purpose This study explores the making of box-office collection using the Indian film
industry, Bollywood, as a case. Design/methodology/approach This study conducts in-depth …

gagement (EGE), and consumer engagement, there are very few studies which explore the
relationships between these constructs. In this study, concepts like word of mouth (WOM) …

This chapter purposes to detail content marketing in theory and practice. A multidisciplinary
approach is utilized by reviewing relevant literature from the fields of marketing, sociology …

Previous studies have employed machine learning tools to classify films according to
success to guide a reduction in the degree of uncertainty of film production. We revisited the …