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Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method

Author

Listed:
  • Yupeng Liu

    (School of Economics and Management, Harbin Institute of Technology, Weihai City 264209, China)

  • Yutao Yang

    (School of Economics and Management, Harbin Institute of Technology, Weihai City 264209, China)

  • Yue Liu

    (School of Economics and Management, Harbin Institute of Technology, Weihai City 264209, China)

  • Gwo-Hshiung Tzeng

    (Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, 151, University Rd., San Shia District, New Taipei City 23741, Taiwan)

Abstract

Identifying the key influencing factors that affected users’ adoption of sustainable mobile health care and improving alternative mobile health services continuously can help ordinary consumers (especially vulnerable populations) use extensive health resources cheaply and conveniently; which can increase the quality and equity of health services; so as to promote the sustainable development of medical resources. We integrated decision making trial and evaluation laboratory (DEMETEL)-based analytic network process (DANP) and a modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method to form a DDANPMV (DEMATEL+ DANP + Modified VIKOR) model to examine consumers’ adoption of mobile health care. This method was developed to not only help decision-makers evaluate alternative mobile health care and determine the best option, but also use to identify and improve the performance gap of alternative products with the goal of satisfying the aspirations of consumers. Four types of mobile health care products were analyzed. The results indicate that social norms; product image; and consumer trust are three key factors in consumer adoption. The results can guide policy design and implementation. The government and enterprises should improve mobile health care through these three aspects.

Suggested Citation

  • Yupeng Liu & Yutao Yang & Yue Liu & Gwo-Hshiung Tzeng, 2019. "Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method," Sustainability, MDPI, vol. 11(3), pages 1-29, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:752-:d:202403
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    References listed on IDEAS

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    4. Valmohammadi, Changiz & Khaki, Masoud Mirahmadi, 2019. "Determinants for selection of projects for exploitation of mines in Iran," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
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    6. Torkayesh, Ali Ebadi & Pamucar, Dragan & Ecer, Fatih & Chatterjee, Prasenjit, 2021. "An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    7. Sun Kyung Kim & Hye Ri Hwang & Youngho Lee & Yeongju Kim, 2023. "A Systematic Review of Korea’s Medication Management Mobile Application," SAGE Open, , vol. 13(3), pages 21582440231, September.
    8. Na Yu & Yi-Ting Huang, 2020. "Important Factors Affecting User Experience Design and Satisfaction of a Mobile Health App—A Case Study of Daily Yoga App," IJERPH, MDPI, vol. 17(19), pages 1-16, September.
    9. Manuel Sousa & Maria Fatima Almeida & Rodrigo Calili, 2021. "Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda," Sustainability, MDPI, vol. 13(8), pages 1-37, April.
    10. Rajak, Manindra & Shaw, Krishnendu, 2019. "Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS," Technology in Society, Elsevier, vol. 59(C).
    11. Lin, Sheng-Hau & Zhang, Hejie & Li, Jia-Hsuan & Ye, Cheng-Zhou & Hsieh, Jing-Chzi, 2022. "Evaluating smart office buildings from a sustainability perspective: A model of hybrid multi-attribute decision-making," Technology in Society, Elsevier, vol. 68(C).

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