Development Trend of Hilton in the Post Epidemic Era and Development Suggestions Based on Quantitative and Qualitative Analysis Model

Qianxi Liu ()
Additional contact information
Qianxi Liu: Shandong University, School of Mathematics and Statistics

A chapter in Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022), 2022, pp 1223-1229 from Springer

Abstract: Abstract In order to analyze the development status of Hilton in the post epidemic era and what strategies can be carried out, I collected the relevant data of Hilton from 2016 to 2020 and predicted the data in the next five years, not just a simple prediction, but also guided the decision-making through the qualitative analysis model. Firstly, in the quantitative analysis part, according to the data of previous years, several factors affecting the two indicators are selected, fitted with the regression analysis model, and the regression results are analyzed and compared to obtain the regression equation of revenue and expense. This article uses the five force analysis model and SWOT model to make a qualitative judgment on Hilton's current internal conditions, external resource environment, and external competition. Finally, according to the above analysis results, some suggestions are put forward for the development of Hilton. This paper analyzes the trend of Hilton in the post epidemic era. At the same time, other similar enterprises also have similarities. Through the early analysis and timely adjustment in the later stage, an enterprise will quickly get out of the shadow of the epidemic and usher in recovery.

Keywords: Post-epidemic; Regression analysis model; SWOT model; Correct; Recovery (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-036-7_181

Ordering information: This item can be ordered from
http://www.springer.com/9789464630367

DOI: 10.2991/978-94-6463-036-7_181

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().