Partial Least Squares (PLS) in Hospitality and Tourism Research
Special issue call for papers from Journal of Hospitality and Tourism Technology
Dr. Faizan Ali, Assistant Professor, University of South Florida Sarasota Manatee
Dr. S. Mostafa Rasoolimanesh, Associate Researcher, Universiti Sains Malaysia
What is this special issue about?
Partial least squares (PLS) path modeling is a composite-based form of structural equation modeling (SEM) that has been gaining increasing attention in various disciplines, including management information systems, marketing, strategic management, accounting, family business research, operations management, and organizational research. Researchers and practitioners appreciate various advantageous features that PLS path modeling offers in its applications. Consequently, the method is currently regarded as suitable and, to some extent, a favorable alternative to the more restrictive traditionally used covariance-based SEM method. Methodological research has suggested a wide range of extensions that offer users more flexibility and even more proficient analyses. Amongst others, these advances include the consistent PLS algorithm, the confirmatory tetrad analysis to empirically assess the measurement model type (i.e., formative or reflective), approaches to analyze hierarchical component models, mediator analysis, PLS-SEM-specific data segmentation techniques, analysis of interaction effects, nonlinear effects, multi-group analysis procedures, unobserved heterogeneity, and importance-performance matrix analysis.
Even though PLS path modeling has gained popularity as a method for both academic and practical research, its use in hospitality and tourism research remains at an early stage of development where its application is much lower as compared to other disciplines, such as marketing, management information systems, and strategic management. Advanced PLS-SEM techniques are not broadly used in hospitality and tourism research, which means that opportunities are overlooked to provide more profound analyses and conclusions by implementing the PLS-SEM method. In order to promote such opportunities, this special issue seeks to provide a forum for topical issues that demonstrate PLS path modeling’s usefulness in hospitality and tourism applications. A description of the method, its empirical applications, and potential methodological advancements that increase its usefulness in research and practice will be specifically emphasized. As such, the special issue aims at two audiences: (1) academics involved in the fields of hospitality and tourism research, and (2) hospitality and tourism practitioners, such as industry consultants. Accordingly, theoretical, methodological, and empirical manuscripts will be considered as long as the topic has strong implications for hospitality and tourism research and practice.
Specific topics we invite you to provide submissions on:
Guest Editors for this special issue are looking for top-quality papers with an original perspective and advanced thinking linked to PLS applications in hospitality and tourism fields. Topics of interest include, but are not limited to:
- State of the art literature review on PLS
- Empirical studies in hospitality and tourism using PLS approach
- Application of PLS path modeling for hospitality and tourism theory development
- Mediating effects
- Moderating effects
- Unobserved heterogeneity
- Multi-group analysis (MGA)
- Higher-order constructs
- Using PLS in studies with experimental design
- Application and further development of the recently proposed PLS-SEM criteria (e.g., new goodness-of-fit criteria)
- Advanced developments of PLS
- Using of PLS path modeling to assess common method bias
- Issues related to both formative and reflective measurement models, especially in hospitality and tourism research
- Prediction oriented applications of PLS in hospitality and tourism
Each paper submitted to this special issue is subject to the following review procedures:
- 300 to 500 words abstract should be emailed to the guest editors for initial review and approval.
- If your abstract is found suitable, you will be invited to submit your full paper. Each article needs to be approximately 3000-6000 words long.
- 2 reviewers will be selected for a double-blind review process.
- Based on the reviewers’ recommendation, the guest editors and the Editor-in-Chief will decide whether the particular submission should be accepted as it is, revised and re-submitted, or rejected.
Abstract submission: 31st May 2017
Interested authors should email their abstracts (300 to 500 words) to both guest editors.
Notification of abstract acceptance: 30th of June 2017
Deadline for submitting the full papers: 30th of September 2017
Special issue expected publication date: March 2018
General submission guidelines for authors can also be found here.