[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v66y2020icp1-13.html
   My bibliography  Save this article

What makes us use the shared mobility model? Evidence from Vietnam

Author

Listed:
  • Huynh, Toan Luu Duc
  • Vo, An Kim Hoang
  • Nguyen, Thanh Hoang Ha
  • Nguyen, Vy Bao Le
  • Ho, Nhung Ngoc Hong
  • Do, Nguyen Binh
Abstract
Sharing economy models are expanding and making substantial contributions to economic transitions and quality of life globally. This has been made possible mainly because of the development of information and communication technologies. Vietnam – an emerging economy with high technology adaptability – cannot escape the inevitable global trend by which sharing economy models – mainly Uber, Grab and Airbnb – have recently made a significant appearance throughout the country to meet the high demand for transportation or to enhance individuals’ quality of life. We employ a rich set of quantitative techniques, such as logit and probit estimations and propose that eight antecedents of customer intention to use Uber/Grab services exist, including gender, age, living costs, distance, utility of Uber/Grab, dissemination of Uber/Grab, tendency to use Uber/Grab from relatives and the community and attractiveness of public and private transport. This study provides new empirical evidence on customer behaviour within the context of new technological infrastructure. Hence, based on the findings of the paper, we propose recommendations for stimulating and enhancing the development of Uber/Grab services in Vietnam.

Suggested Citation

  • Huynh, Toan Luu Duc & Vo, An Kim Hoang & Nguyen, Thanh Hoang Ha & Nguyen, Vy Bao Le & Ho, Nhung Ngoc Hong & Do, Nguyen Binh, 2020. "What makes us use the shared mobility model? Evidence from Vietnam," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 1-13.
    • Handle: RePEc:eee:ecanpo:v:66:y:2020:i:c:p:1-13
    DOI: 10.1016/j.eap.2020.02.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592619304084
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eap.2020.02.007?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. Lutz, Christoph & Newlands, Gemma, 2018. "Consumer segmentation within the sharing economy: The case of Airbnb," Journal of Business Research, Elsevier, vol. 88(C), pages 187-196.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Brodeur, Abel & Nield, Kerry, 2018. "An empirical analysis of taxi, Lyft and Uber rides: Evidence from weather shocks in NYC," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 1-16.
    4. Judd Cramer & Alan B. Krueger, 2016. "Disruptive Change in the Taxi Business: The Case of Uber," American Economic Review, American Economic Association, vol. 106(5), pages 177-182, May.
    5. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Karim, Sitara & Naz, Farah & Naeem, Muhammad Abubakr & Vigne, Samuel A., 2022. "Is FinTech providing effective solutions to Small and Medium Enterprises (SMEs) in ASEAN countries?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 335-344.
    2. Quan‐Hoang Vuong & Viet‐Phuong La & Hong‐Kong T. Nguyen & Manh‐Tung Ho & Thu‐Trang Vuong & Manh‐Toan Ho, 2021. "Identifying the moral–practical gaps in corporate social responsibility missions of Vietnamese firms: An event‐based analysis of sustainability feasibility," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(1), pages 30-41, January.
    3. Quirós, Cipriano & Portela, Javier & Marín, Raquel, 2021. "Differentiated models in the collaborative transport economy: A mixture analysis for Blablacar and Uber," Technology in Society, Elsevier, vol. 67(C).
    4. Eva Ayaragarnchanakul & Felix Creutzig & Aneeque Javaid & Nattapong Puttanapong, 2022. "Choosing a Mode in Bangkok: Room for Shared Mobility?," Sustainability, MDPI, vol. 14(15), pages 1-19, July.

    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. Pan, Jing Yu & Liu, Dahai, 2022. "Mask-wearing intentions on airplanes during COVID-19 – Application of theory of planned behavior model," Transport Policy, Elsevier, vol. 119(C), pages 32-44.
    2. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    3. Wang, Wei & Miao, Wei & Liu, Yongdong & Deng, Yiting & Cao, Yunfei, 2022. "The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 128-141.
    4. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    5. Chen, Shih-Chih & Hung, Chung-Wen, 2016. "Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 155-163.
    6. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    7. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    8. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external inf," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.
    9. Fernanda Leão Ramos & Jorge Brantes Ferreira & Angilberto Sabino de Freitas & Juliana Werneck Rodrigues, 2018. "The Effect of Trust in the Intention to Use m-banking," Brazilian Business Review, Fucape Business School, vol. 15(2), pages 175-191, March.
    10. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    11. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
    12. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    13. Meng, Bo & Choi, Kyuhwan, 2016. "The role of authenticity in forming slow tourists' intentions: Developing an extended model of goal-directed behavior," Tourism Management, Elsevier, vol. 57(C), pages 397-410.
    14. Bireswar Dutta & Hsin-Ginn Hwang, 2021. "Consumers Purchase Intentions of Green Electric Vehicles: The Influence of Consumers Technological and Environmental Considerations," Sustainability, MDPI, vol. 13(21), pages 1-23, October.
    15. Junmin Lee & Keungoui Kim & Hyunha Shin & Junseok Hwang, 2018. "Acceptance Factors of Appropriate Technology: Case of Water Purification Systems in Binh Dinh, Vietnam," Sustainability, MDPI, vol. 10(7), pages 1-20, June.
    16. Schaefers, Tobias & Leban, Marina & Vogt, Florian, 2022. "On-demand features: Consumer reactions to tangibility and pricing structure," Journal of Business Research, Elsevier, vol. 139(C), pages 751-761.
    17. Jeeyeon Jeong & Yaeri Kim & Taewoo Roh, 2021. "Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care," SAGE Open, , vol. 11(3), pages 21582440211, August.
    18. Mei-Fang Chen & Ching-Ti Pan & Ming-Chuan Pan, 2009. "The Joint Moderating Impact of Moral Intensity and Moral Judgment on Consumer’s Use Intention of Pirated Software," Journal of Business Ethics, Springer, vol. 90(3), pages 361-373, December.
    19. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    20. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.

    More about this item

    Keywords

    Sharing economy; Uber; Grab; New forms of transport; Information and communication technologies;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O35 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Social Innovation
    • N75 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - Asia including Middle East
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    Statistics

    Access and download statistics

    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:ecanpo:v:66:y:2020:i:c:p:1-13. 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: http://www.journals.elsevier.com/economic-analysis-and-policy .

    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.