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An analytical hierarchy process-based decision making for sustainable medical devices development

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Background: The medical device industry needs to be sustainable and should consider the safest, trusted quality and accessibility for use when they are required for patient diagnostic procedures. This study is conducted to identify the factors influencing sustainable development of medical devices. Methods: The analytical hierarchy process (AHP) is being adopted to prioritize the influencing factors. Based on the classified criteria, the alternative factors are evaluated and compared with each other using AHP to make an optimal selection. Results: The findings show that there are six main factors and seventeen sub-factors in this study that can support the development of sustainable medical devices. This study provides useful information for the medical device supplier to improve their current and future product design toward sustainable medical device development. Conclusions: This study adds to the understanding of sustainable medical device development and its consequences on the intention to use from the consumer's perspective.
Czasopismo
Rocznik
Strony
481--493
Opis fizyczny
Bibliogr. 25 poz., tab., wykr.
Twórcy
  • Department of Industrial Engineering, Mahidol University, Nakhon Pathom, Thailand
  • Faculty of Business and Management, Universiti Teknologi MARA, Selangor, Malaysia
autor
  • Asian Institute of Management, Makati, Philippines
autor
  • Department of Industrial Engineering, Mahidol University Nakhon Pathom, Thailand
Bibliografia
  • 1. Abdel-Basset, M., Manogaran, G., Gamal, A., Smarandache, F., 2019. A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection. Journal of Medical Systems, 43(2), 1-13. https://doi.org/10.1007/s10916-019-1156-1
  • 2. Bag, S., Pretorius, J.H.C., Gupta, S., Dwivedi, Y.K., 2020. Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities. Technological Forecasting and Social Change, 163. https://doi.org/10.1016/j.techfore.2020.120420
  • 3. Behera, D.K., Dash, U., 2018. Examining the state level heterogeneity of public health expenditure in India: an empirical evidence from panel data. International Journal of Healthcare Technology and Management, 17(1), 75-95.
  • 4. Bitkina, O.V., Kim, H.K., Park, J., 2020. Usability and user experience of medical devices: An overview of the current state, analysis methodologies, and future challenges. International Journal of Industrial Ergonomics, 76. https://doi.org/10.1016/j.ergon.2020.102932.
  • 5. Bulatnikov, V., Constantin, C.P., 2021. Systematic Analysis of Literature on the Marketing of Healthcare Systems. Challenges for Russian and Romanian Healthcare Systems. Healthcare, 9(6), 1-17. https://doi.org/10.3390/healthcare9060656
  • 6. Chanques, G., Constantin, J.-M., Devlin, J.W., Ely, E.W., Fraser, G.L., Gélinas, C., … Kress, J.P., 2020. Analgesia and sedation in patients with ARDS. Intensive Care Medicine, 46(12), 2342-2356. https://doi.org/10.1007/s00134-020-06307-9
  • 7. Chen, F.-M., Liu, X., 2016. Advancing biomaterials of human origin for tissue engineering. Progress in Polymer Science, 53, 86-168. https://doi.org/10.1016/j.progpolymsci.2015.02.004
  • 8. De Aguiar, J., de Oliveira, L., da Silva, J.O., Bond, D., Scalice, R.K., Becker, D., 2017. A design tool to diagnose product recyclability during product design phase. Journal of Cleaner Production, 141, 219-229. https://doi.org/10.1016/j.jclepro.2016.09.074
  • 9. Duangpun, K., Sineenart, K., Soriya, H., Albert, T., 2019. Healthcare supply chain management: macro and micro perspectives. LogForum, 15(4), 531-544. http://dx.doi.org/10.17270/J.LOG.2019.371
  • 10. Erdogan, H., Tosun, N., 2021. Evaluation of sustainable supplier problem: a hybrid decision making model based on SWARA-WASPAS. LogForum, 17(4), 465-476.
  • 11. Gannam, F.F., Belela-Anacleto, AS.C., Kusahara, D.M., Gonçalves Pedreira, M., 2018. Levels of Hemolysis Markers in Erythrocyte Concentrates Administered Using a Syringe Infusion Pump. Journal of Infusion Nursing, 41(3), 180-188. https://doi.org/10.1097/NAN.0000000000000280
  • 12. Gholizadeh, H., Fazlollahtabar, H., 2021. Analysis of new product development between product innovation and product financial performance assessment: a case of Doosheh Dairy Company. Environment, Development and Sustainability.https://doi.org/10.1007/s10668-021-01470-5
  • 13. Guzzo, D., Carvalho, M.M., Balkenende, R., Mascarenhas, J., 2020. Circular business models in the medical device industry: paths towards sustainable healthcare. Resources, Conservation and Recycling, 160. https://doi.org/10.1016/j.resconrec.2020.104904
  • 14. Henrique dos Santos, P., Neves, S.M., Sant’Anna, D.O., Henrique de Oliveira, C., Carvalho, H.D., 2018. The Analytic Hierarchy Process Supporting Decision Making For Sustainable Development: An Overview Of Applications. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.11.270
  • 15. Hussain, M., Ajmal, M.M., Khan, M., Saber, H., 2015. Competitive priorities and knowledge management. Journal of Manufacturing Technology Management, 26(6), 791-806. https://doi.org/10.1108/JMTM-03-2014-0020
  • 16. Improta, G., Perrone, A., Russo, M.A., Triassi, M., 2019. Health technology assessment (HTA) of optoelectronic biosensors for oncology by analytic hierarchy process (AHP) and Likert scale. BMC Medical Research Methodology, 19(1). https://doi.org/10.1186/s12874-019-0775-z
  • 17. Kaspar, J., Vielhaber, M., 2017. Sustainable Lightweight Design – Relevance and Impact on the Product Development & Lifecycle Process. Procedia Manufacturing, 8, 409-416. https://doi.org/10.1016/j.promfg.2017.02.052
  • 18. Majchrzak-Lepczyk, J., Bober, B., 2016. Selected aspects of the logistics network of public hospitals in the competitive market of health services. LogForum, 12(4), 247-267. https://doi.org/10.17270/J.LOG.2016.4.6
  • 19. Ngatilah, Y., Pulansari, F., Ernawati, D., Pujiastuti, C., Parwati, C.I., Prasetyo, B., 2018. Design for Manufacture and Assembly for Product Development (Case study : Emergency Lamp). Journal of Physics: Conference Series, 953. https://doi.org/10.1088/1742-6596/953/1/012235
  • 20. Saaty, T.L., 1980. The Analytic Hierarchy Process, New York: McGraw Hill. International, Translated to Russian, Portuguese, and Chinese, Revised editions, Paperback (1996, 2000), Pittsburgh: RWS Publications.
  • 21. Unal, T.D., Metin, I., 2021. Do the factors affecting Incoterms® selection differ for exporters and importers? A fuzzy analytical hierarchy process (FAHP) application. LogForum, 17(2), 299-309. http://doi.org/10.17270/J.LOG.2021.585
  • 22. Weber, T.A., 2020. How to Market Smart Products: Design and Pricing for Sharing Markets. Journal of Management Information Systems, 37(3), 631-667. https://doi.org/10.1080/07421222.2020.1790179
  • 23. Yang, X., Li, L., Chen, L., Zhang, Y., Chen, L., Li, C., 2020. Use of a non-planning driving background change methodology to assess the land-use planning impact on the environment. Environmental Impact Assessment Review, 84. https://doi.org/10.1016/j.eiar.2020.106440
  • 24. Yi, S., Liu, X., 2020. Machine learning based customer sentiment analysis for recommending shoppers, shops based on customers’ review. Complex & Intelligent Systems. https://doi.org/10.1007/s40747-020-00155-2
  • 25. Zhang, H., Li, J., Wen, B., Xun, Y., Liu, J., 2018. Connecting Intelligent Things in Smart Hospitals Using NB-IoT. IEEE Internet of Things Journal, 5(3), 1550-1560. https://doi.org/10.1109/JIOT.2018.2792423
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-730a88a0-cea2-456d-a165-a0569e2a79b3
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