Modelling research in the service industry using advanced or innovative panel data methods

Guest editor(s)

Aviral Kumar Tiwari


Muhammad Shahbaz


Guest Editors

Aviral Kumar Tiwari (managing guest editor)

Rajagiri Business School, Rajagiri Valley Campus, Kochi, India


Muhammad Shahbaz

Beijing Institute of Technology, Beijing, China

Cambridge Centre for Environment, Energy and Natural Resource Governance

Department of Land Economy, University of Cambridge, United Kingdom


Editor-in-Chief of JHTT

Cihan Cobanoglu

Muma College of Business

University of South Florida, Florida, USA



The advantages of panel-data-based analysis are well known in the literature of economics and finance. The use of panel data modelling has gradually started picking up in the service industry particularly in tourism, hospitality, healthcare etc. Recent development in the panel data such as non-parametric modelling, quantile models, non-linear models, wavelet applications of panel data, cross-sectional dependency modelling which considers endogenous breaks, modelling of panel data to capture sharp and smooth breaks, advanced panel forecasting, time-varying panel data estimation, and so on, are among the growing methods in the literature of economics and finance. However, such models and their fruitfulness in the tourism, hospitality, and healthcare literature has received limited attention. Now, since microdata (e.g. longitudinal surveys) to macrodata (e.g. national and regional economic data) back to “big data” (e.g. social media content) are widely available for the tourism sector – in time and space – and travel-related social media information is also available, it seems necessary to showcase how researchers can make the best use of such data.

This special issue is aimed to serve this purpose: to collect innovative contributions on the use of panel data in the tourism, hospitality and healthcare sectors. Specifically, we will consider papers with either a methodological or empirical focus. In the former case, contributors should develop novel panel data methods for the tourism, hospitality, healthcare etc. sectors by taking the specificities of these sectors into account. In the case of empirical contributions, authors should demonstrate how recently developed panel approaches could fruitfully be used in the service sector. Both types of submissions could of course tackle well established research questions, but need to demonstrate the novelty of the proposed approach and be able to disclose undiscovered facts, realities or findings. We also welcome contributions targeting the practitioner audience, by providing easily reproducible new approaches to potentially interesting issues, like tourism demand forecasting, big data analysis, or consumer behaviour classification.


Submissions related to the following topics are welcome

This special issue will therefore welcome theoretical and empirical papers including, but not limited to, the following possible themes and topics:

  • Service industry (tourism, hospitality, healthcare etc.) and energy consumption
  • Service industry (tourism, hospitality, healthcare etc.) and environment
  • Service industry (tourism, hospitality, healthcare etc.) and institutions
  • Tourism and Information Technology
  • Service industry (tourism, hospitality, healthcare etc.) big data over time and space
  • Hotel performance over time
  • Tourism demand forecasting with panel data
  • Understanding households’ decision-making processes over time 
  • Gravity approach to model service industry (tourism, hospitality, healthcare etc.)
  • Service industry (tourism, hospitality, healthcare etc.) -led-growth hypothesis testing with panel data
  • Time- and group-varying estimates in panel econometrics
  • Use of innovative static and dynamic panel methods in Service industry (tourism, hospitality, healthcare etc.)
  • Space-time clustering and georeferenced data in Service industry (tourism, hospitality, healthcare etc.)
  • Time-varying panel data methods in Service industry (tourism, hospitality, healthcare etc.)


Submission and Review Process

Each paper submitted to this special issue is subject to the following submission and review procedures:

  • 500 to 750 words abstract should be emailed to the editors for initial review and approval (abstracts should be concise and to the point with appropriate references following the JHTT guidelines).
  • If your abstract is found suitable, you will be invited to submit your full paper. Each article needs to be approximately 5000-7500 words long.  
  • Two reviewers will be selected for a double-blind review process.
  • Based on the reviewers’ recommendation, the editors will decide whether the particular submission should be accepted as it is, revised and re-submitted, or rejected.


Key Dates

Abstract submission deadline: 31 Oct. 2021

Notification of abstract acceptance: Dec. 2021

Deadline for submitting the full papers: 30th June 2022

Revision and Final Decision: Nov. 2022

Special issue expected publication date: Feb. 2023


Interested authors should email their abstracts (500 to 750 words) to [email protected].

To contact the Editors directly with questions: Dr. Aviral Kumar Tiwari ([email protected]); Prof. Dr. Muhammad Shahbaz ([email protected]).

General submission guidelines for authors can also be found at: