Editors: Rahul Pratap Singh Kaurav, Dogan Gursoy and Nimit Chowdhary

For many research scholars, especially in developing countries, research is still being nightmare. They believe that research is a task of senior professors which will instill by them to scholars in a day.

If the discussion is about research in tourism and hospitality sector, then it is very easy to observe that there are less researches in this segment. Though the possibility of research in this sector is very diverse. It can start from the complex behavior tourist to hospitality experience of hotels, hostels, restaurants, pubs, clubs, and nightclubs. It includes researching destination promotion requirements and destination performance expectations.

The handbook will conclude by providing research implications and recommendations for tourism and hospitality businesses to enable them to successfully create and manage research strategies in actions.

(1st part of every chapter, will be the case study, 2nd parts will be about SPSS process, and third part would help the researchers in writing interpretations.)

Chapter Vignette and Data Formats

Writing interpretations in the scientific styles

SPSS Procedure and Solution of the Chapter Vignette

Part 1 General idea of research

a. Why research in tourism and hospitality?

b. Why SPSS?

Part 2 Basic operations with SPSS

a. Overview of SPSS

b. Graphical user interface of SPSS

c. Creating and importing data files

d. Editing and managing data files

Part 3 Understanding data

a. Creating and editing graphs

b. Understanding frequencies and descriptive statistics

c. Understanding data through tables

d. Crosstabulation

Part 4 Basics of statistics

a. Understanding central tendencies

b. Assumptions of the normality

Part 5 Comparing means

a. One sample t-test

b. Independent samples t-test

c. Paired sample t-test

c. Analysis of Variance (ANOVA)

d. Non-parametric tools

Part 6 Deciphering relationships

a. Correlations

b. Linear regression

c. Multiple regression

Part 7 Causality

a. Moderation

b. Mediation

Part 8 Classic Chi-Square

a. Goodness of fit

b. Test of independence

Part 9 Methods of reliability and validity

Part 10 Factor analysis

Part 11 Cluster analysis

Part 12 Discriminant analysis

Part 13 Multidimensional scaling

Part 14 Conjoint analysis

Part 15 Importance performance analysis (IPA)

Part 16 Introduction to Multi Criteria Decision Making Modelling (MCDM)

Key Dates:

Call for Contributors: January 25, 2019

Receipt of Proposal, outlines and idea of case study: March 15, 2019

Response to authors: April 15, 2019

Full Chapters deadline: June 15, 2019

Draft Book completion: July 20, 2019

Please send your interest along with your CV, if we have not interacted before. If you are writing with your co-authors, please attach their profile too. Looking forward for very prompt responses.