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      • Record: found
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      Why are individuals tracing travel trends? A case study of City Walk in Malaysia

      research-article
      Author(s): 1 , * , , 2 , 3 , 4
      Editor(s):
      Publication date (Electronic):
      Journal: PLOS ONE
      Publisher: Public Library of Science

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          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.

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          Most cited references72

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

          Joseph Hair, Jeffrey J. Risher, Marko Sarstedt … (2019)
          Article 0 comments Cited 2825 times – based on 0 reviews     Review now
          Article has an altmetric score of 36
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            Self-determination theory: A macrotheory of human motivation, development, and health.

            Edward L Deci, Richard M. Ryan (2008)
            Article 0 comments Cited 1103 times – based on 0 reviews     Review now
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              Predictive model assessment in PLS-SEM: guidelines for using PLSpredict

              Galit Shmueli, Marko Sarstedt, Joseph Hair … (2019)
              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.
              Article 0 comments Cited 488 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Zhenbin Wang:
                ORCID: https://orcid.org/0000-0002-6974-7044
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: Writing – original draft
                Hui Zhang: Role: Data curationRole: Software
                Sridar Ramachandran: Role: ConceptualizationRole: Supervision
                Suiying Cheng: Role: MethodologyRole: Supervision
                Kun Sang: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS One
                Journal ID (publisher-id): plos
                Title: PLOS ONE
                Publisher: Public Library of Science (San Francisco, CA USA )
                ISSN (Electronic): 1932-6203
                Publication date (Electronic): 10 February 2025
                Publication date Collection: 2025
                Volume: 20
                Issue: 2
                Electronic Location Identifier: 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
                Publisher ID: PONE-D-24-33757
                DOI: 10.1371/journal.pone.0309493
                PMC ID: 11809927
                PubMed ID: 39928647
                SO-VID: addf7c2a-40e1-43fb-a43d-832e9ea0a3c0
                Copyright © © 2025 Wang et al
                License:

                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
                Date received : 15 August 2024
                Date accepted : 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
                Subject: Research Article
                Subject: Biology and Life Sciences
                Subject: Psychology
                Subject: Social Psychology
                Subject: Social Influence
                Subject: Social Sciences
                Subject: Psychology
                Subject: Social Psychology
                Subject: Social Influence
                Subject: Medicine and Health Sciences
                Subject: Public and Occupational Health
                Subject: Behavioral and Social Aspects of Health
                Subject: Medicine and Health Sciences
                Subject: Mental Health and Psychiatry
                Subject: Biology and Life Sciences
                Subject: Psychology
                Subject: Behavior
                Subject: Social Sciences
                Subject: Psychology
                Subject: Behavior
                Subject: Social Sciences
                Subject: Sociology
                Subject: Social Theory
                Subject: Social Sciences
                Subject: Sociology
                Subject: Communications
                Subject: Social Communication
                Subject: Social Media
                Subject: Computer and Information Sciences
                Subject: Network Analysis
                Subject: Social Networks
                Subject: Social Media
                Subject: Social Sciences
                Subject: Sociology
                Subject: Social Networks
                Subject: Social Media
                Subject: People and Places
                Subject: Geographical Locations
                Subject: Asia
                Subject: Malaysia
                Subject: Biology and Life Sciences
                Subject: Physiology
                Subject: Biological Locomotion
                Subject: Walking
                Custom metadata
                Data Availability All relevant data are within the paper and its Supporting Information files.

                ScienceOpen disciplines: Uncategorized
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                ScienceOpen disciplines: Uncategorized

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