0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Why are individuals tracing travel trends? A case study of City Walk in Malaysia

      research-article
      1 , * , , 2 , 3 , 4
      PLOS ONE
      Public Library of Science

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Studying the emerging travel trends of City Walk is a beneficial activity for young groups. However, there is a lack of research and understanding regarding the motivation and mechanism behind these trends, both in theory and practice. The aim of this study was to investigate the motivation of persons who follow the travel trend of City Walk and evaluate how behavioral intentions are formed by exploring the link between motivation and behavioral intention using the self-determination theory, and social influence theory. Social influence, variety seeking, and self-identification were extrinsic and intrinsic motivations of behavioral intention. A quantitative purposive survey approach was employed, wherein 315 young individuals aged 18 to 40 were recruited to respond. The findings derived from the partial least squares structural equation modeling demonstrate that extrinsic incentives related to social influence, variety seeking, and health care have a considerable impact on behavioral intention, and to some extent influence self-identification. Self-identification has a mediating role in the relationship between health care and behavioral intention. By examining both theoretical and practical aspects, it seeks to provide useful theoretical insights and practical contributions to advance research and industry in the field of rural tourism.

          Related collections

          Most cited references72

          • Record: found
          • Abstract: not found
          • Article: not found

          When to use and how to report the results of PLS-SEM

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Self-determination theory: A macrotheory of human motivation, development, and health.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Predictive model assessment in PLS-SEM: guidelines for using PLSpredict

              Partial least squares (PLS) has been introduced as a “causal-predictive” approach to structural equation modeling (SEM), designed to overcome the apparent dichotomy between explanation and prediction. However, while researchers using PLS-SEM routinely stress the predictive nature of their analyses, model evaluation assessment relies exclusively on metrics designed to assess the path model’s explanatory power. Recent research has proposed PLSpredict, a holdout sample-based procedure that generates case-level predictions on an item or a construct level. This paper offers guidelines for applying PLSpredict and explains the key choices researchers need to make using the procedure. The authors discuss the need for prediction-oriented model evaluations in PLS-SEM and conceptually explain and further advance the PLSpredict method. In addition, they illustrate the PLSpredict procedure’s use with a tourism marketing model and provide recommendations on how the results should be interpreted. While the focus of the paper is on the PLSpredict procedure, the overarching aim is to encourage the routine prediction-oriented assessment in PLS-SEM analyses. The paper advances PLSpredict and offers guidance on how to use this prediction-oriented model evaluation approach. Researchers should routinely consider the assessment of the predictive power of their PLS path models. PLSpredict is a useful and straightforward approach to evaluate the out-of-sample predictive capabilities of PLS path models that researchers can apply in their studies. Future research should seek to extend PLSpredict’s capabilities, for example, by developing more benchmarks for comparing PLS-SEM results and empirically contrasting the earliest antecedent and the direct antecedent approaches to predictive power assessment. This paper offers clear guidelines for using PLSpredict, which researchers and practitioners should routinely apply as part of their PLS-SEM analyses. This research substantiates the use of PLSpredict. It provides marketing researchers and practitioners with the knowledge they need to properly assess, report and interpret PLS-SEM results. Thereby, this research contributes to safeguarding the rigor of marketing studies using PLS-SEM.
                Bookmark

                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: Writing – original draft
                Role: Data curationRole: Software
                Role: ConceptualizationRole: Supervision
                Role: MethodologyRole: Supervision
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                10 February 2025
                2025
                : 20
                : 2
                : e0309493
                Affiliations
                [1 ] School of Business, Anyang Institute of Technology, Anyang, Henan, China
                [2 ] School of Accountancy, Anyang Institute of Technology, Anyang, Henan, China
                [3 ] School of Business and Economics, Universiti Putra Malaysia, Selangor, Malaysia
                [4 ] School of Culture and Tourism, Henan University, Kaifeng, Henan, China
                Xiamen University Malaysia, MALAYSIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-6974-7044
                Article
                PONE-D-24-33757
                10.1371/journal.pone.0309493
                11809927
                39928647
                addf7c2a-40e1-43fb-a43d-832e9ea0a3c0
                © 2025 Wang et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 August 2024
                : 13 January 2025
                Page count
                Figures: 2, Tables: 7, Pages: 23
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100012456, National Social Science Fund of China;
                Award ID: 21ZDA081
                Award Recipient :
                This study has been supported by the Chinese National Funding of Social Sciences “Grant number 21ZDA081”. Founder, Cheng Suiying, as one of the co-authors for supervising.
                Categories
                Research Article
                Biology and Life Sciences
                Psychology
                Social Psychology
                Social Influence
                Social Sciences
                Psychology
                Social Psychology
                Social Influence
                Medicine and Health Sciences
                Public and Occupational Health
                Behavioral and Social Aspects of Health
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Biology and Life Sciences
                Psychology
                Behavior
                Social Sciences
                Psychology
                Behavior
                Social Sciences
                Sociology
                Social Theory
                Social Sciences
                Sociology
                Communications
                Social Communication
                Social Media
                Computer and Information Sciences
                Network Analysis
                Social Networks
                Social Media
                Social Sciences
                Sociology
                Social Networks
                Social Media
                People and Places
                Geographical Locations
                Asia
                Malaysia
                Biology and Life Sciences
                Physiology
                Biological Locomotion
                Walking
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article