Inside the Rating Scores: A Multilevel Analysis of the Factors Influencing Customer Satisfaction in the Hotel Industry

Published: 30 November 2016| Version 1 | DOI: 10.17632/kwsrxshf9x.1
Contributors:
Tijana Radojevic,
Nemanja Stanisic,
Nenad Stanic

Description

These data are used in a research study and may not be redistributed or used for commercial purposes. Feel free to use it for research purposes or to reproduce the results presented in the article. When referring to the data set in publications please cite the article as follows: Radojevic, T., Stanisic, N., & Stanic, N. (2016). Inside the Rating Scores: A Multilevel Analysis of the Factors Influencing Customer Satisfaction in the Hotel Industry. Cornell Hospitality Quarterly. You may also want to cite the data set: Radojevic, T., Stanisic, N., & Stanic, N. (2016), Inside the Rating Scores: A Multilevel Analysis of the Factors Influencing Customer Satisfaction in the Hotel Industry., Mendeley Data, v1 http://dx.doi.org/10.17632/kwsrxshf9x.1 For a detailed description of the variables and their descriptive statistics, please read the article.

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Steps to reproduce

1) Download and install R environment for statistical computing from https://cran.r-project.org/bin/windows/base/ and RStudio IDE from https://www.rstudio.com/products/rstudio/download3/ 2) Download the text file with R code (For R users - the code used to perform data analysis and modeling.txt) and the RData file (For R users - the initial data set with separate tables.rdat) 3) Load the RData file into RStudio and run the code. Read the comments in the code carefully before running each section. R session info: R version 3.3.1 (2016-06-21) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows >= 8 x64 (build 9200) locale: [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252 [4] LC_NUMERIC=C LC_TIME=English_United States.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] stargazer_5.2 optimx_2013.8.7 lme4_1.1-12 Matrix_1.2-6 ggplot2_2.1.0 loaded via a namespace (and not attached): [1] Rcpp_0.12.5 BB_2014.10-1 splines_3.3.1 MASS_7.3-45 svUnit_0.7-12 munsell_0.4.3 [7] colorspace_1.2-6 lattice_0.20-33 quadprog_1.5-5 minqa_1.2.4 plyr_1.8.4 tools_3.3.1 [13] optextras_2013-10.28 grid_3.3.1 dfoptim_2016.7-1 gtable_0.2.0 nlme_3.1-128 numDeriv_2014.2-1 [19] ucminf_1.1-3 setRNG_2013.9-1 nloptr_1.0.4 rsconnect_0.4.3 scales_0.4.0 Rcgmin_2013-2.21 [25] Rvmmin_2013-11.12 System summary: OS Name Microsoft Windows 10 Education Version 10.0.10586 Build 10586 Processor Intel(R) Core(TM) i5-3570 CPU @ 3.40 GHz, 3401 Mhz, 4 Core(s), 4 Logical Processor(s) Installed Physical Memory (RAM) 32.0 GB Disk drive Samsung SSD 850 EVO 1TB

Categories

Tourism, Hospitality, Hospitality Management

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