Examining mobile medical supplies in supply chain: Exploring the impact of intention to use mobile medical apps

Ibrahim Ezmigna, Siti Zaleha Omain, Mahmoud Alghizzawi

Article ID: 5621
Vol 8, Issue 13, 2024

VIEWS - 23 (Abstract) 11 (PDF)

Abstract


All sectors have an increasing interest in smart phone applications based on their many advantages that support business, especially the medical sector, which is constantly competing to develop the medical services provided, and accordingly in this research study we industrialized a mobile medical supplies and equipment ordering application (mobile medical app) classic and make an effort to authenticate it factually. When clients (hospitals doctors) create consumptions on the application, three dimensions can be identified: platform emotion stage, fear effect, and familiarity with product. This research designed to reinforce and brighten the most important magnitudes that improve a physician’s judgment of mobile medical app and the purpose to usage. Furthermore, this study inspected the availability of the model between hospital physicians in UAE. The classic ideal was observed by means of a model of 340 UAE clinic physicians and their personal assistant who utilize mobiles facilities in overall. The review technique, a calculable method, was applied; the fractional smallest cubes organizational calculation exhibiting systems was owned to inspect the planned agenda. The platform emotion dimension, especially fear and resistance to change, and the familiarity with the products were evaluated, and it was discovered that these factors positively influenced the objective to use the application. And the other side, the first dimension of emotion, fear, manifested as “apparent threat”, had no outcome on the purpose to using. These discoveries recommended that scholars should emphasis more on the facilities, merchandises, and the key task of the mobile medical app to control their inspirations on clients’ ordering purpose. This will progress the purchasing ways associated to acquiring medicinal materials utilizing mobile medical app and/or on other operational stages in unambiguously in UAE and the Central East at great.


Keywords


supply chain; logistics; mobile medicinal; expertise purpose

Full Text:

PDF


References


Abbas, S., Alnoor, A., Sin Yin, T., et al. (2023). Antecedents of trustworthiness of social commerce platforms: A case of rural communities using multi group SEM & MCDM methods. Electronic Commerce Research and Applications, 62, 101322. https://doi.org/10.1016/j.elerap.2023.101322

Abu-AlSondos, I. A., Salameh, A. A., Nawi, N. M., & Deraman, R. (2023). An Ensemble Filter for Indoor Positioning Technology of Mobile Home Service with Agile iBeacon Deployment. International Journal of Interactive Mobile Technologies, 17(16).

Ajayi, O. O., Akinrujomu, O. S., Daso, O. S., & Akinniyi, O. (2019). A mobile based medical appointment and consultation (MMAC) system. International Journal of Computer Science and Mobile Computing, 8(5), 208–218.

Ajmera, H., & Bhatt, D. R. V. (2021). A Study on Factors Affecting Consumer Attitude and Intention Towards the Mobile Payment Applications in Gujarat [PhD thesis]. Gujarat Technological University.

Al-Jaroodi, J., Mohamed, N., & Abukhousa, E. (2020). Health 4.0: On the Way to Realizing the Healthcare of the Future. IEEE Access, 8, 211189–211210. https://doi.org/10.1109/access.2020.3038858

Alkailani, M., & Nusairat, N. (2022). What motivates Jordanians to adopt mobile commerce? An empirical study of the most relevant factors. International Journal of Data and Network Science, 6(2), 487–496. https://doi.org/10.5267/j.ijdns.2021.12.005

Almajali, D., Hammouri, Q., Majali, T., et al. (2021). Antecedents of consumers’ adoption of electronic commerce in developing countries. International Journal of Data and Network Science, 5(4), 681–690. https://doi.org/10.5267/j.ijdns.2021.7.013

Alohali, M., Carton, F., & O’Connor, Y. (2020). Investigating the antecedents of perceived threats and user resistance to health information technology: a case study of a public hospital. Journal of Decision Systems, 29(1), 27–52. https://doi.org/10.1080/12460125.2020.1728988

Alqahtani, Y. A. M. (2023). M-commerce in Saudi Arabia perspectives of consumers and vendors following Vision 2030 (Doctoral dissertation, University of Sussex).

Alwan, S. Y., Hu, Y., Al Asbahi, A. A. M. H., et al. (2023). Sustainable and resilient e-commerce under COVID-19 pandemic: a hybrid grey decision-making approach. Environmental Science and Pollution Research, 30(16), 47328–47348. https://doi.org/10.1007/s11356-023-25456-0

Baghi, I., Gabrielli, V., & Grappi, S. (2016). Consumers’ awareness of luxury brand counterfeits and their subsequent responses: when a threat becomes an opportunity for the genuine brand. Journal of Product & Brand Management, 25(5), 452–464. https://doi.org/10.1108/jpbm-11-2014-0747

Balsalobre-Lorente, D., Nur, T., Topaloglu, E. E., et al. (2024). Assessing the impact of the economic complexity on the ecological footprint in G7 countries: Fresh evidence under human development and energy innovation processes. Gondwana Research, 127, 226–245. https://doi.org/10.1016/j.gr.2023.03.017

Cohen, D., & Erev, I. (2024). The prediction‐oriented middle ground between behaviorist and cognitivist consumer research. Consumer Psychology Review, 7(1), 121–126. Portico. https://doi.org/10.1002/arcp.1091

Daoud, M. K., Al-Qeed, M., Ahmad, A. Y. A. B., et al. (2023). Mobile Marketing: Exploring the Efficacy of User-Centric Strategies for Enhanced Consumer Engagement and Conversion Rates. International Journal of Membrane Science and Technology, 10(2), 1252–1262. https://doi.org/10.15379/ijmst.vi.1425

Dijkstra, T. K., & Henseler, J. (2015). Consistent Partial Least Squares Path Modeling. MIS Quarterly, 39(2), 297–316. https://doi.org/10.25300/misq/2015/39.2.02

Dudouet, V. (2013). Dynamics and factors of transition from armed struggle to nonviolent resistance. Journal of Peace Research, 50(3), 401–413. https://doi.org/10.1177/0022343312469978

Elrefaey, O., Ahmed, S., Ahmad, I., et al. (2022). Impacts of COVID-19 on the Use of Digital Technology in Construction Projects in the UAE. Buildings, 12(4), 489. https://doi.org/10.3390/buildings12040489

Esmaeili, P., Rafei, M., Balsalobre-Lorente, D., et al. (2023). The role of economic policy uncertainty and social welfare in the view of ecological footprint: evidence from the traditional and novel platform in panel ARDL approaches. Environmental Science and Pollution Research, 30(5), 13048–13066. https://doi.org/10.1007/s11356-022-23044-2

Faccia, A., Le Roux, C. L., & Pandey, V. (2023). Innovation and E-Commerce Models, the Technology Catalysts for Sustainable Development: The Emirate of Dubai Case Study. Sustainability, 15(4), 3419. https://doi.org/10.3390/su15043419

Flavián, C., Pérez-Rueda, A., Belanche, D., et al. (2022). Intention to use analytical artificial intelligence (AI) in services—the effect of technology readiness and awareness. Journal of Service Management, 33(2), 293–320. https://doi.org/10.1108/josm-10-2020-0378

Foroudi, P., Jin, Z., Gupta, S., et al. (2018). Perceptional components of brand equity: Configuring the Symmetrical and Asymmetrical Paths to brand loyalty and brand purchase intention. Journal of Business Research, 89, 462–474. https://doi.org/10.1016/j.jbusres.2018.01.031

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis in pharmaceutics: A tutorial review. International Journal of Pharmaceutics, 417(1–2), 280–290. https://doi.org/10.1016/j.ijpharm.2011.02.019

Hair Jr, J. F., Hult, G. T. M., Ringle, C., et al. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.

Haleem, A., Javaid, M., Singh, R. P., et al. (2021). Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sensors International, 2, 100117. https://doi.org/10.1016/j.sintl.2021.100117

Hew, J.-J., Lee, V.-H., & Leong, L.-Y. (2024). Deciphering the resistance behaviours towards mobile commerce applications: A Mobile Commerce Applications Resistance Theory (MOCART). Computers in Human Behavior, 151, 108033. https://doi.org/10.1016/j.chb.2023.108033

Kaatz, C. (2020). Retail in my pocket– replicating and extending the construct of service quality into the mobile commerce context. Journal of Retailing and Consumer Services, 53, 101983. https://doi.org/10.1016/j.jretconser.2019.101983

Kauw, D., Koole, M. A. C., Winter, M. M., et al. (2019). Advantages of mobile health in the management of adult patients with congenital heart disease. International Journal of Medical Informatics, 132, 104011. https://doi.org/10.1016/j.ijmedinf.2019.104011

Khrais, L. T., & Shidwan, O. S. (2020). Mobile commerce and its changing use in relevant applicable areas in the face of disruptive technologies. International Journal of Applied Engineering Research, 15(1), 12–23.

Kumar, K., Kumar, P., Deb, D., et al. (2023). Artificial Intelligence and Machine Learning Based Intervention in Medical Infrastructure: A Review and Future Trends. Healthcare, 11(2), 207. https://doi.org/10.3390/healthcare11020207

Lee, N. R., & Kotler, P. (2019). Social marketing: behavior change for social good. SAGE Publications.

Liu, Y., Li, Q., Edu, T., et al. (2023). Mobile social commerce content, consumer emotions and behaviour. International Journal of Consumer Studies, 47(4), 1315–1334. https://doi.org/10.1111/ijcs.12908

Lu, B., & Chen, Z. (2021). Live streaming commerce and consumers’ purchase intention: An uncertainty reduction perspective. Information & Management, 58(7), 103509. https://doi.org/10.1016/j.im.2021.103509

Almeida Lucas, G., Lunardi, G. L., & Bittencourt Dolci, D. (2023). From e-commerce to m-commerce: An analysis of the user’s experience with different access platforms. Electronic Commerce Research and Applications, 58, 101240. https://doi.org/10.1016/j.elerap.2023.101240

Makrides, A., Vrontis, D., & Christofi, M. (2020). The Gold Rush of Digital Marketing: Assessing Prospects of Building Brand Awareness Overseas. Business Perspectives and Research, 8(1), 4–20. https://doi.org/10.1177/2278533719860016

Mappesona, H., Ikhsani, K., & Ali, H. (2020). Customer purchase decision model, supply chain management and customer satisfaction: Product quality and promotion analysis. International Journal of Supply Chain Management, 9(1), 592–600.

Mastana, A. S. (2023). Factors Influencing Consumer Intentions to Purchase Groceries Over the Internet: An Exploratory Study During the Pandemic. International Journal of Professional Business Review, 8(2), e0859. https://doi.org/10.26668/businessreview/2023.v8i2.859

Mauji, N. I., & Abu Shanab, E. A. (2023). Are millennials in Qatar making m-commerce the future of online shopping. International Journal of Sustainable Society, 15(3), 266–293. https://doi.org/10.1504/ijssoc.2023.10058329

Mehta, P., Singla, H., Saha, R., et al. (2021). A Pathway to Technology Integration: Eliciting Consumer’s Behavioural Intention to Use Paytm Services. Paradigm, 097189072110037. https://doi.org/10.1177/09718907211003712

Meikle, G. (2016). Social media: Communication, sharing and visibility. Routledge.

Mollick, J., Cutshall, R., Changchit, C., et al. (2023). Contemporary Mobile Commerce: Determinants of Its Adoption. Journal of Theoretical and Applied Electronic Commerce Research, 18(1), 501–523. https://doi.org/10.3390/jtaer18010026

Nawi, N. C., Husin, H. S., Al-Jahwari, N. S., et al. (2024). The path to sustainability begins with going paperless: Antecedents of intention to use electronic wallet using serial mediation approach. Heliyon, 10(2), e24127. https://doi.org/10.1016/j.heliyon.2024.e24127

Phong, N. D., Khoi, N. H., & Nhat-Hanh Le, A. (2018). Factors affecting mobile shopping: a Vietnamese perspective. Journal of Asian Business and Economic Studies, 25(2), 186–205. https://doi.org/10.1108/jabes-05-2018-0012

Safieddine, F. (2017). M-commerce. In: Innovations in E-systems for business and commerce. Apple Academic Press.

Sakas, D. P., Reklitis, D. P., Terzi, M. C., et al. (2023). Growth of digital brand name through customer satisfaction with big data analytics in the hospitality sector after the COVID-19 crisis. International Journal of Information Management Data Insights, 3(2), 100190. https://doi.org/10.1016/j.jjimei.2023.100190

Salameh, A. A. (2022). An intention to use mobile applications for medical supplies and equipment ordering in clinics. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.1021291

Shakeel, S. R., Juntunen, J. K., & Rajala, A. (2024). Business models for enhanced solar photovoltaic (PV) adoption: Transforming customer interaction and engagement practices. Solar Energy, 268, 112324. https://doi.org/10.1016/j.solener.2024.112324

Sharma, K., Khosla, R., & Kumar, Y. (2023, June). Perceived risks in online shopping in Rohtak: A case study of Haryana. In AIP Conference Proceedings (Vol. 2782, No. 1). AIP Publishing.

Sharma, A., & Mandloi, U. (2018). M-commerce: A new way of Commerce in India. International Research Journal of Management Science & Technology, 9(4).

Sinha, N., Paul, J., & Singh, N. (2024). Mobile payments for bottom of the pyramid: Towards a positive social change. Technological Forecasting and Social Change, 202, 123313. https://doi.org/10.1016/j.techfore.2024.123313

Susanto, P., Hoque, M. E., Nisaa, V., et al. (2023). Predicting m-Commerce Continuance Intention and Price Sensitivity in Indonesia by Integrating of Expectation-Confirmation and Post-acceptance Model. SAGE Open, 13(3). https://doi.org/10.1177/21582440231188019

Techinakarawin, T., & Sun, J. (2023). Does Impulsive Posting Hurt or Help? The Effects of Conflicting Online Information on Attitude Uncertainty and Behavioural Consequences: The Moderating Role of Peer Social Network Support. Journal of Theoretical and Applied Electronic Commerce Research, 18(1), 615–633. https://doi.org/10.3390/jtaer18010031

Wendland, J., Lunardi, G. L., & Dolci, D. B. (2019). Adoption of health information technology in the mobile emergency care service. RAUSP Management Journal, 54(3), 287–304. https://doi.org/10.1108/rausp-07-2018-0058

Wetzels, Odekerken-Schröder, & van Oppen. (2009). Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration. MIS Quarterly, 33(1), 177. https://doi.org/10.2307/20650284

Wirtz, B. W., & Wirtz. (2021). Digital business and electronic commerce. Springer.

Xu, X., Zeng, S., & He, Y. (2017). The influence of e-services on customer online purchasing behavior toward remanufactured products. International Journal of Production Economics, 187, 113–125. https://doi.org/10.1016/j.ijpe.2017.02.019

Zhu, B., Charoennan, W., & Embalzado, H. (2022). The influence of perceived risks on millennials’ intention to use m-payment for mobile shopping in Bangkok. International Journal of Retail & Distribution Management, 50(4), 479–497. https://doi.org/10.1108/ijrdm-05-2020-0174




DOI: https://doi.org/10.24294/jipd5621

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Ibrahim Ezmigna, Siti Zaleha Omain, Mahmoud Alghizzawi

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.