IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v81y2024ics0969698924003047.html
   My bibliography  Save this article

Senior tourists’ acceptance for tourism-related mobile apps: An integrated model based on BWS case 1 and ordered choice data

Author

Listed:
  • Huang, Wenli
  • Pan, Xiaofeng
  • Peng, You
  • Lu, Yuan

Abstract

This paper aims to investigate senior tourists' acceptance for tourism-related mobile apps using a model integrating best-worst scaling (case 1) and ordered logit modeling techniques. A mobile app targeting to provide benefit for senior tourists was designed. An offline survey was carried out targeting the senior group in Xiaogan, China, based on which the model was estimated. The results confirm the reliability and validity of the proposed model and show the following conclusions. First, besides the specific functions of the mobile app, the personal attributes (especially the gender) can also vary senior tourists' weighting toward the functions. In addition, the personal attributes can also influence senior tourists' acceptance intention of the mobile app. Second, the function weights of the mobile app have contributions to the acceptance intention. The higher the function weight, the higher the influence magnitude. Third, social influence also significantly influence senior tourists’ acceptance intention of the mobile app.

Suggested Citation

  • Huang, Wenli & Pan, Xiaofeng & Peng, You & Lu, Yuan, 2024. "Senior tourists’ acceptance for tourism-related mobile apps: An integrated model based on BWS case 1 and ordered choice data," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    • Handle: RePEc:eee:joreco:v:81:y:2024:i:c:s0969698924003047
    DOI: 10.1016/j.jretconser.2024.104008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698924003047
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2024.104008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Shampy Kamboj & Shivam Gupta, 2020. "Use of smart phone apps in co-creative hotel service innovation: an evidence from India," Current Issues in Tourism, Taylor & Francis Journals, vol. 23(3), pages 323-344, February.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, November.
    4. Kim, Jinhee & Rasouli, Soora & Timmermans, Harry, 2014. "Expanding scope of hybrid choice models allowing for mixture of social influences and latent attitudes: Application to intended purchase of electric cars," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 71-85.
    5. Hess, Stephane & Train, Kenneth E. & Polak, John W., 2006. "On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 147-163, February.
    6. Wang, Kaili & Gao, Ya & Liu, Yicong & Nurul Habib, Khandker, 2023. "Exploring the choice between in-store versus online grocery shopping through an application of Semi-Compensatory Independent Availability Logit (SCIAL) model with latent variables," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    7. Yuzong Zhao & Hui Wang & Zhen Guo & Mingli Huang & Yongtao Pan & Yongrui Guo, 2022. "Online Reservation Intention of Tourist Attractions in the COVID-19 Context: An Extended Technology Acceptance Model," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    8. Arne Henningsen & Ott Toomet, 2011. "maxLik: A package for maximum likelihood estimation in R," Computational Statistics, Springer, vol. 26(3), pages 443-458, September.
    9. Chang, Mona & Walimuni, Arachchilage C.S.M. & Kim, Min-cheol & Lim, Hwa-soon, 2022. "Acceptance of tourism blockchain based on UTAUT and connectivism theory," Technology in Society, Elsevier, vol. 71(C).
    10. Jose Weng Chou Wong & Ivan Ka Wai Lai & Zhang Tao, 2020. "Sharing memorable tourism experiences on mobile social media and how it influences further travel decisions," Current Issues in Tourism, Taylor & Francis Journals, vol. 23(14), pages 1773-1787, July.
    11. Louviere, Jordan & Lings, Ian & Islam, Towhidul & Gudergan, Siegfried & Flynn, Terry, 2013. "An introduction to the application of (case 1) best–worst scaling in marketing research," International Journal of Research in Marketing, Elsevier, vol. 30(3), pages 292-303.
    12. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923, November.
    13. Lopez-Carreiro, Iria & Monzon, Andres & Lopez-Lambas, Maria E., 2021. "Comparison of the willingness to adopt MaaS in Madrid (Spain) and Randstad (The Netherlands) metropolitan areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 275-294.
    14. Zhang, Xingyi & Wen, Han & Shao, Xiaolong, 2024. "Understanding consumers’ acceptance of edible food packaging: The role of consumer innovativeness," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).
    15. Almeida-Santana, Arminda & Moreno-Gil, Sergio, 2018. "Understanding tourism loyalty: Horizontal vs. destination loyalty," Tourism Management, Elsevier, vol. 65(C), pages 245-255.
    16. Shao, Rui & Derudder, Ben & Witlox, Frank, 2022. "The geography of e-shopping in China: On the role of physical and virtual accessibility," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    17. Noppadol Phaosathianphan & Adisorn Leelasantitham, 2019. "Understanding the Adoption Factors Influence on the Use of Intelligent Travel Assistant (ITA) for Eco-Tourists: An Extension of the UTAUT," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(08), pages 1-26, December.
    18. Colaço, Rui & de Abreu e Silva, João, 2022. "Exploring the e-shopping geography of Lisbon: Assessing online shopping adoption for retail purchases and food deliveries using a 7-day shopping survey," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    19. Al Haddad, Christelle & Chaniotakis, Emmanouil & Straubinger, Anna & Plötner, Kay & Antoniou, Constantinos, 2020. "Factors affecting the adoption and use of urban air mobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 696-712.
    20. Usep Suhud & Mamoon Allan & Dian Puspita Sari & Bayu Bagas Hapsoro & Dorojatun Prihandono, 2021. "Customers’ Continuance Intention in Using a Mobile Navigation App in the Tourism Context: What Factors Will Lead?," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 14(2), pages 137-148.
    21. Gursoy, Dogan & Chi, Oscar Hengxuan & Lu, Lu & Nunkoo, Robin, 2019. "Consumers acceptance of artificially intelligent (AI) device use in service delivery," International Journal of Information Management, Elsevier, vol. 49(C), pages 157-169.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Henri Kuokkanen & William Sun, 2020. "Companies, Meet Ethical Consumers: Strategic CSR Management to Impact Consumer Choice," Journal of Business Ethics, Springer, vol. 166(2), pages 403-423, October.
    2. Márquez, Luis & Pineda, Laura X. & Poveda, Juan C., 2022. "Mobility-impaired people’s preferences for a specialized paratransit service as BRT’s feeder: The role of autonomy, relatedness, and competence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 172-185.
    3. Kim, Seheon & Rasouli, Soora, 2022. "The influence of latent lifestyle on acceptance of Mobility-as-a-Service (MaaS): A hierarchical latent variable and latent class approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 304-319.
    4. Coppola, Pierluigi & De Fabiis, Francesco & Silvestri, Fulvio, 2024. "Urban Air Mobility (UAM): Airport shuttles or city-taxis?," Transport Policy, Elsevier, vol. 150(C), pages 24-34.
    5. Raux, Charles & Chevalier, Amandine & Bougna, Emmanuel & Hilton, Denis, 2021. "Mobility choices and climate change: Assessing the effects of social norms, emissions information and economic incentives," Research in Transportation Economics, Elsevier, vol. 90(C).
    6. Yilin Zou & Alexia Stock & Rachel Davidson & Linda Nozick & Joseph Trainor & Jamie Kruse, 2020. "Perceived attributes of hurricane-related retrofits and their effect on household adoption," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 201-224, October.
    7. Chiambaretto, Paul & Laurent, Sara & Schmalz, Ulrike & Fu, Mengying & Rouyre, Audrey & Bildstein, Camille & Fernandez, Anne-Sophie, 2024. "Are consumers willing to pay more for green innovations? Insights from the air transport industry," Technovation, Elsevier, vol. 137(C).
    8. Fanchao Liao & Eric Molin & Bert van Wee, 2017. "Consumer preferences for electric vehicles: a literature review," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 252-275, May.
    9. Pan, Xiaofeng & Liu, Shaobo, 2022. "Modeling travel choice behavior with the concept of image: A case study of college students’ choice of homecoming train trips during the Spring Festival travel rush in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 247-258.
    10. de Bekker-Grob, E.W. & Donkers, B. & Bliemer, M.C.J. & Veldwijk, J. & Swait, J.D., 2020. "Can healthcare choice be predicted using stated preference data?," Social Science & Medicine, Elsevier, vol. 246(C).
    11. Jia, Wenjian & Chen, T. Donna, 2023. "Investigating heterogeneous preferences for plug-in electric vehicles: Policy implications from different choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    12. Granado-Díaz, Rubén & Villanueva, Anastasio J. & Colombo, Sergio, 2024. "Land manager preferences for outcome-based payments for environmental services in oak savannahs," Ecological Economics, Elsevier, vol. 220(C).
    13. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    14. Joseph F. Hair & Christian M. Ringle & Siegfried P. Gudergan & Andreas Fischer & Christian Nitzl & Con Menictas, 2019. "Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 115-142, April.
    15. Alix Le Goff & Guillaume Monchambert & Charles Raux, 2020. "Values of Time for Carpool Commuting with HOV lanes: A Discrete Choice Experiment in France," Working Papers halshs-02988756, HAL.
    16. Molloy, Joseph & Becker, Felix & Schmid, Basil & Axhausen, Kay W., 2021. "mixl: An open-source R package for estimating complex choice models on large datasets," Journal of choice modelling, Elsevier, vol. 39(C).
    17. Manca, Francesco & Sivakumar, Aruna & Daina, Nicolò & Axsen, Jonn & Polak, John W, 2020. "Modelling the influence of peers’ attitudes on choice behaviour: Theory and empirical application on electric vehicle preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 278-298.
    18. Qian, Lixian & Huang, Youlin & Tyfield, David & Soopramanien, Didier, 2023. "Dynamic consumer preferences for electric vehicles in China: A longitudinal approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    19. Giovanna Piracci & Fabio Boncinelli & Leonardo Casini, 2023. "Investigating Consumer Preferences for Sustainable Packaging Through a Different Behavioural Approach: A Random Regret Minimization Application," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(1), pages 1-27, October.
    20. Sant'Anna, Ana Claudia & Bergtold, Jason & Shanoyan, Aleksan & Caldas, Marcellus & Granco, Gabriel, 2021. "Deal or No Deal? Analysis of Bioenergy Feedstock Contract Choice with Multiple Opt-out Options and Contract Attribute Substitutability," 2021 Conference, August 17-31, 2021, Virtual 315289, International Association of Agricultural Economists.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joreco:v:81:y:2024:i:c:s0969698924003047. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.