Vol. 10, Issue 6, Part D (2024)
Social media influences consumer choices in the travel industry: Examining the decision-making process of travelers
Social media influences consumer choices in the travel industry: Examining the decision-making process of travelers
Author(s)
Safdar Khan and Dr. Asad Rehman
AbstractThe tourism sector helps tourists and visitors by providing information on various social networking sites. Before the tour is finished, the consumer decision-making process in tourism marketing via social media goes through several steps. Self-Congruity Theory and Traveler Destination Selection, Consumer Choice Bettman Information Processing Model, and stages of travel trips clarify the process of the consumer decision-making process, and rarely when offered a choice, do consumers thoroughly research all of the available possibilities, Secondary data from reliable sources and first-hand observations are used in research procedures. A variety of secondary data is available in books, government studies that have been published, journal articles, and newspapers. Through social networking sites and trip stages, this study aims to pinpoint the key influencing factors that affect decisions on family tours. The findings indicate that social media marketing has a significant impact on how consumers decide what to buy tour packages, marketing on social media websites will be a useful strategy for attracting tourists. Tourists share both favorable and bad comments on social media networks, thus hotels, resorts, and other travel service companies must offer the best services possible. Positive evaluations will surely boost future revenue, while negative ones will undoubtedly affect their future sales. The practical and theoretical consequences, as well as suggestions for future research, are discussed in this quickly evolving digital environment.
How to cite this article:
Safdar Khan, Dr. Asad Rehman. Social media influences consumer choices in the travel industry: Examining the decision-making process of travelers. Int J Appl Res 2024;10(6):303-314. DOI:
10.22271/allresearch.2024.v10.i6d.11858