Strategic analysis of industry 4.0 acceptance factors in healthcare: scenario analysis approach

Document Type : Original Article

Authors

Assistant Professor, Department of Business Management, Faculty of Financial Sciences, Management and Entrepreneurship, University of Kashan, Kashan, Iran

Abstract

With the emergence industry 4.0, many industrial and service sectors have moved towards using it to improve their effectiveness and efficiency. This transformation has been done slowly in Iran's healthcare sector, so it is necessary to identify the factors affecting its acceptance. The requirement to start this movement is to accept it. Considering the existing research gaps, this research has been conducted to identify, model and analyze the scenario of Industry 4.0 acceptance factors in Iran's healthcare supply chain. This research was done in 2 stages with a mixed approach. The first stage with a qualitative approach seeks to identify acceptance factors and the second stage with a quantitative approach seeks to model and analyze their scenarios. The statistical population in both stages are experts in the healthcare supply chain and sampling methods is judgmental and snowball. In the first stage, semi-structured interviews and thematic analysis were used, and in the second stage, a researcher-made questionnaire and fuzzy cognitive map were used. The results of the first stage show 23 acceptance factors, which were classified into 4 categories: "personality factors", "organizational behavior", "organizational hardware" and "management". The results of the second phase indicate that "emotional intelligence", "organizational culture", "social responsibility" and "stakeholders' awareness of I4.0 technologies" are drivers and "organizational openness" is the recipient. The results of the analysis of forward and backward scenarios show the importance of "effective change management", "trust", "stakeholders' awareness of I4.0 technologies", "financial capability" and "optimism towards technology".

Keywords


[1]    Jain, M., Soni, G., Verma, D., Baraiya, R., & Ramtiyal, B. (2023). Selection of technology acceptance model for adoption of industry 4.0 technologies in agri-fresh supply chain. Sustainability, 15(6), 4821.‏ https://doi.org/10.3390/su15064821
[2]    Fakhrzad, M. B., Keshavarz, M., & Jafari Nodoushan, A. (2021). A mathematical model in the smart supply chain based on ICPT in the MTS environment. Modern Research in Decision Making, 6(2), 97-123. https://dorl.net/dor/20.1001.1.24766291.1400.6.2.5.5. [In Persian].
[3]    Hanapiyah, Z. M., Malan, I. N. B., Abdullah, M. S., Borhanordin, A. H., & Jamil, M. F. (2022). Industrial Revolution 4.0: Readiness and Acceptance of Industries Management to Change. Journal of Pharmaceutical Negative Results, 5877-5889.‏ https://doi.org/10.47750/pnr.2022.13.S09.706
[4]    Bigliardi, B., Bottani, E., Casella, G., Filippelli, S., Petroni, A., Pini, B., & Gianatti, E. (2023). Industry 4.0 in the agrifood supply chain: a review. Procedia Computer Science, 217, 1755-1764.‏ https://doi.org/10.1016/j.procs.2022.12.375
[5]    Elmaadawy, S. (2023). Industry 4.0 Applications in the Healthcare Sector.‏ Bachelor Thesis, The German University in Cairo. http://dx.doi.org/10.3390/jsan10030043
[6]    Gródek-Szostak, Z., Siguencia, L. O., Niemczyk, A., & Szeląg-Sikora, A. (2023, June). From Industry 4.0 Paradigm Towards Industry 5.0. In ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference (Vol. 2, pp. 46-49).‏ https://doi.org/10.17770/etr2023vol2.7192
[7]    Abdullayeva, F. J. (2022). Internet of Things‐based healthcare system on patient demographic data in Health 4.0. CAAI Transactions on Intelligence Technology, 7(4), 644-657.‏ https://doi.org/10.1049/cit2.12128
[8]    Yedilbayev, Y., Sarybayeva, A., Zharylgapova, D., Shektibayev, N., Usembayeva, I., & Kurbanbekov, B. (2023). Factors influencing future physics teachers’ acceptance of information and communicative competence technologies: A survey study. Cogent Education, 10(1), 2212119.‏ https://doi.org/10.1080/2331186X.2023.2212119
[9]    Stergiou, G., Kavakli, E., & Kotis, K. (2023). Towards a technology acceptance methodology for Industry 4.0. Procedia Computer Science, 219, 832-839.‏ https://doi.org/10.1016/j.procs.2023.01.357
[10]    Thomas, R. J., O'Hare, G., & Coyle, D. (2023). Understanding technology acceptance in smart agriculture: A systematic review of empirical research in crop production. Technological Forecasting and Social Change, 189, 122374.‏ https://doi.org/10.1016/j.techfore.2023.122374
[11]    Mazroui Nasrabadi E. (2023). Analyzing the competences of managers in the healthcare 4.0. JMDP; 36 (1):145-170. http://jmdp.ir/article-1-4621-en.html. [In Persian].
[12]    Abedini, M., Karimi, T., Azar, A., & Khosravani, F. (2021). Structuring the conflicts problems between insurance organizations and hospitals by combining drama theory and Journey Making. Modern Research in Decision Making, 6(4), 102-129. https://dorl.net/dor/20.1001.1.24766291.1400.6.4.5.9. [In Persian].
[13]    Mazroui Nasrabadi, E., & Kheirkhah Maraghi, Z. (2023). Industry 4.0 Outcome Drivers Model in Healthcare: A Fuzzy Total Interpretive Structural Modeling Approach. Health Information Management, 20(1), 56-64. doi: 10.48305/him.2023.41702.1110. [In Persian].
[14]    Gholami, H., Abu, F., Lee, J. K. Y., & Abdul-Nour, G. (2023). An Analysis of the Literature on Industry 4.0 and the Major Technologies. Sustainable Manufacturing in Industry 4.0, 19-39.‏ https://doi.org/10.1007/978-981-19-7218-8_2
[15]    Shrivastava, A., Krishna, K. M., Rinawa, M. L., Soni, M., Ramkumar, G., & Jaiswal, S. (2023). Inclusion of IoT, ML, and blockchain technologies in next generation industry 4.0 environment. Materials Today: Proceedings, 80, 3471-3475.‏ https://doi.org/10.1016/j.matpr.2021.07.273
[16]    Karboub, K., Tabaa, M., Dandache, A., Dellagi, S., & Moutaouakkil, F. (2019). Toward health 4.0: Challenges and opportunities. In International Conference on Innovation and New Trends in Information Technology (Vol. 20, p. 21).‏
[17]    Strohschein, J., Palma, A. M. L., & Faeskorn-Woyke, H. (2020). Employee Technology Acceptance of Industry 4.0 in SMES. In Societal Challenges in the Smart Society (pp. 475-486). Universidad de La Rioja.‏
[18]    Issantu, I. (2021). User acceptance of logistics 4.0 and robotic warehouse solutions (RWS) (Doctoral dissertation, Capella University).‏
[19]    Castillo-Vergara, M., Álvarez-Marín, A., Villavicencio Pinto, E., & Valdez-Juárez, L. E. (2022). Technological Acceptance of Industry 4.0 by Students from Rural Areas. Electronics, 11(14), 2109. https://doi.org/10.3390/electronics11142109
[20]    Bharsakade, R., Acharya, P., & Ganapathy, L. (2020, February). Analysis of Driving & Dependence Power of Factors Influencing Industry 4.0 Adoption in Healthcare. In 2020 International Conference on Industry 4.0 Technology (I4Tech) (pp. 85-89). IEEE.‏ https://doi.org/10.1109/I4Tech48345.2020.9102646
[21]    Al-Jaroodi, J., Mohamed, N., Kesserwan, N., & Jawhar, I. (2023, April). Human Factors Affecting the Adoption of Healthcare 4.0. In 2023 IEEE International Systems Conference (SysCon) (pp. 1-7). IEEE.‏ https://doi.org/10.1109/SysCon53073.2023.10131064
[22]    Li, W., Bhutto, T. A., Xuhui, W., Maitlo, Q., Zafar, A. U., & Bhutto, N. A. (2020). Unlocking employees’ green creativity: The effects of green transformational leadership, green intrinsic, and extrinsic motivation. Journal of Cleaner Production, 255, 120229.‏ https://doi.org/10.1016/j.jclepro.2020.120229
[23]    Lin, B., Wu, W., & Song, M. (2019). Industry 4.0: Driving factors and impacts on firm’s performance: An empirical study on China’s manufacturing industry. Annals of Operations Research, 1-21.‏ https://doi.org/10.1007/s10479-019-03433-6
[24]    Bag, S., Yadav, G., Dhamija, P., & Kataria, K. K. (2021). Key resources for industry 4.0 adoption and its effect on sustainable production and circular economy: An empirical study. Journal of Cleaner Production, 281, 125233.‏ https://doi.org/10.1016/j.jclepro.2020.125233
[25]    Cirillo, V., Rinaldini, M., Staccioli, J., & Virgillito, M. E. (2021). Technology vs. workers: the case of Italy’s Industry 4.0 factories. Structural change and economic dynamics, 56, 166-183.‏ https://doi.org/10.1016/j.strueco.2020.09.007
[26]    Shahzad, M., Qu, Y., Javed, S. A., Zafar, A. U., & Rehman, S. U. (2020). Relation of environment sustainability to CSR and green innovation: A case of Pakistani manufacturing industry. Journal of Cleaner Production, 253, 119938.‏ https://doi.org/10.1016/j.jclepro.2019.119938
[27]    Kumar, A., Moktadir, M. A., Khan, S. A. R., Garza-Reyes, J. A., Tyagi, M., & Kazançoğlu, Y. (2020). Behavioral factors on the adoption of sustainable supply chain practices. Resources, Conservation and Recycling, 158, 104818.‏ https://doi.org/10.1016/j.rcrx.2020.100031
[28]    Moktadir, M. A., Ali, S. M., Kusi-Sarpong, S., & Shaikh, M. A. A. (2018). Assessing challenges for implementing Industry 4.0: Implications for process safety and environmental protection. Process safety and environmental protection, 117, 730-741.‏ https://doi.org/10.1016/j.psep.2018.04.020
[29]    Taqi, H. M., Nur, S. M., Salman, S., Ahmed, T., Sarker, S., Ali, S. M., & Sankaranarayanan, B. (2023). Behavioural factors for Industry 4.0 adoption: implications for knowledge-based supply chains. Operations Management Research, 1-18.‏ https://doi.org/10.1007/s12063-022-00338-9
[30]    Chauhan, C., Singh, A., & Luthra, S. (2021). Barriers to industry 4.0 adoption and its performance implications: An empirical investigation of emerging economy. Journal of Cleaner Production, 285, 124809.‏ https://doi.org/