IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v156y2020ics0040162519323005.html
   My bibliography  Save this article

Effects of contingencies on healthcare 4.0 technologies adoption and barriers in emerging economies

Author

Listed:
  • Tortorella, Guilherme Luz
  • Fogliatto, Flávio Sanson
  • Espôsto, Kleber Francisco
  • Vergara, Alejandro Mac Cawley
  • Vassolo, Roberto
  • Mendoza, Diego Tlapa
  • Narayanamurthy, Gopalakrishnan

Abstract

Studies on the influence of contingency factors on the introduction of novel digital technologies into high-complexity systems, such as hospitals, are still incipient. As the introduction of Healthcare 4.0 (H4.0) usually implies in high capital expenditures and requires a more skilled labor force, such understanding gains relevance when considering hospitals in emerging economies, more likely to be resource-constrained. This study examines the effect of five contingency factors on the adoption of H4.0 technologies and associated barriers to H4.0 adoption in emerging economies; they are: hospital's ownership and age, number of employees, number of inpatient beds, and functionality (teaching hospital or not). The analysis is based on a transnational survey with 159 middle and senior managers from 16 hospitals, located in Brazil, India, Mexico and Argentina. Results indicate that contingencies do affect both H4.0 technologies adoption and associated barriers although not homogeneously in terms of effect, being more prominent on technologies’ adoption than on barriers to H4.0 implementation. Our study sheds light on these relationships, providing hospitals’ managers a means to anticipate potential issues and handle eventual difficulties inherent to the context in which they are inserted.

Suggested Citation

  • Tortorella, Guilherme Luz & Fogliatto, Flávio Sanson & Espôsto, Kleber Francisco & Vergara, Alejandro Mac Cawley & Vassolo, Roberto & Mendoza, Diego Tlapa & Narayanamurthy, Gopalakrishnan, 2020. "Effects of contingencies on healthcare 4.0 technologies adoption and barriers in emerging economies," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    • Handle: RePEc:eee:tefoso:v:156:y:2020:i:c:s0040162519323005
    DOI: 10.1016/j.techfore.2020.120048
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162519323005
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2020.120048?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. Li, Ling, 2018. "China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 66-74.
    2. Yongxin Liao & Fernando Deschamps & Eduardo de Freitas Rocha Loures & Luiz Felipe Pierin Ramos, 2017. "Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3609-3629, June.
    3. Turgay Ayer & Mehmet U. S. Ayvaci & Zeynal Karaca & Jan Vlachy, 2019. "The Impact of Health Information Exchanges on Emergency Department Length of Stay," Production and Operations Management, Production and Operations Management Society, vol. 28(3), pages 740-758, March.
    4. Lolich, Luciana & Riccò, Isabella & Deusdad, Blanca & Timonen, Virpi, 2019. "Embracing technology? Health and Social Care professionals' attitudes to the deployment of e-Health initiatives in elder care services in Catalonia and Ireland," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 63-71.
    5. Robert D. Dewar & Jane E. Dutton, 1986. "The Adoption of Radical and Incremental Innovations: An Empirical Analysis," Management Science, INFORMS, vol. 32(11), pages 1422-1433, November.
    6. Niemelä, Riikka & Pikkarainen, Minna & Ervasti, Mari & Reponen, Jarmo, 2019. "The change of pediatric surgery practice due to the emergence of connected health technologies," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 352-365.
    7. Torbjørn H. Netland, 2016. "Critical success factors for implementing lean production: the effect of contingencies," International Journal of Production Research, Taylor & Francis Journals, vol. 54(8), pages 2433-2448, April.
    8. Monica Giancotti & Annamaria Guglielmo & Marianna Mauro, 2017. "Efficiency and optimal size of hospitals: Results of a systematic search," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-40, March.
    9. Friedman, Margaret L & Churchill, Gilbert A, Jr, 1987. "Using Consumer Perceptions and a Contingency Approach to Improve Health Care Delivery," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 492-510, March.
    10. Behkami, Nima A. & U. Daim, Tugrul, 2012. "Research Forecasting for Health Information Technology (HIT), using technology intelligence," Technological Forecasting and Social Change, Elsevier, vol. 79(3), pages 498-508.
    11. Schminke, Marshall & Cropanzano, Russell & Rupp, Deborah E., 2002. "Organization structure and fairness perceptions: The moderating effects of organizational level," Organizational Behavior and Human Decision Processes, Elsevier, vol. 89(1), pages 881-905, September.
    12. Randy V. Bradley & Terry L. Esper & Joonhwan In & Kang B. Lee & Bogdan C. Bichescu & Terry Anthony Byrd, 2018. "The Joint Use of RFID and EDI: Implications for Hospital Performance," Production and Operations Management, Production and Operations Management Society, vol. 27(11), pages 2071-2090, November.
    13. Dalenogare, Lucas Santos & Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro Germán, 2018. "The expected contribution of Industry 4.0 technologies for industrial performance," International Journal of Production Economics, Elsevier, vol. 204(C), pages 383-394.
    14. Li Da Xu & Eric L. Xu & Ling Li, 2018. "Industry 4.0: state of the art and future trends," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2941-2962, April.
    15. Louis Amato & Christie Amato, 2007. "The Effects of Firm Size and Industry on Corporate Giving," Journal of Business Ethics, Springer, vol. 72(3), pages 229-241, May.
    16. Lehoux, P. & Miller, F.A. & Daudelin, G., 2017. "Converting clinical risks into economic value: The role of expectations and institutions in health technology development," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 206-216.
    17. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    18. Ancarani, Alessandro & Di Mauro, Carmela & Gitto, Simone & Mancuso, Paolo & Ayach, Ali, 2016. "Technology acquisition and efficiency in Dubai hospitals," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 475-485.
    19. Guilherme Luz Tortorella & Diego Fettermann, 2018. "Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2975-2987, April.
    20. Laforet, Sylvie, 2013. "Organizational innovation outcomes in SMEs: Effects of age, size, and sector," Journal of World Business, Elsevier, vol. 48(4), pages 490-502.
    21. Samayita Guha & Subodha Kumar, 2018. "Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1724-1735, September.
    22. Wang, Yichuan & Kung, LeeAnn & Byrd, Terry Anthony, 2018. "Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 3-13.
    23. Wallace J. Hopp & Jun Li & Guihua Wang, 2018. "Big Data and the Precision Medicine Revolution," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1647-1664, September.
    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. Yang, Hualong & Li, Dan, 2021. "Health management gamification: Understanding the effects of goal difficulty, achievement incentives, and social networks on performance," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    2. Pham, Phuoc & Zhang, Huilan & Gao, Wenlian & Zhu, Xiaowei, 2024. "Determinants and performance outcomes of artificial intelligence adoption: Evidence from U.S. Hospitals," Journal of Business Research, Elsevier, vol. 172(C).
    3. Nnaji, Chukwuma & Awolusi, Ibukun, 2021. "Critical success factors influencing wearable sensing device implementation in AEC industry," Technology in Society, Elsevier, vol. 66(C).
    4. Puppala, Harish & Ahuja, Jaya & Tamvada, Jagannadha Pawan & Peddinti, Pranav R T, 2023. "New technology adoption in rural areas of emerging economies: The case of rainwater harvesting systems in India," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    5. Kumar, Anil & Agrawal, Rohit & Wankhede, Vishal A & Sharma, Manu & Mulat-weldemeskel, Eyob, 2022. "A framework for assessing social acceptability of industry 4.0 technologies for the development of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Tortorella, Guilherme Luz & Narayanamurthy, Gopalakrishnan & Sunder M, Vijaya & Cauchick-Miguel, Paulo A, 2021. "Operations Management teaching practices and information technologies adoption in emerging economies during COVID-19 outbreak," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    7. Tortorella, Guilherme Luz & Fogliatto, Flavio S. & Cauchick-Miguel, Paulo A. & Kurnia, Sherah & Jurburg, Daniel, 2021. "Integration of Industry 4.0 technologies into Total Productive Maintenance practices," International Journal of Production Economics, Elsevier, vol. 240(C).
    8. Bertolin Furstenau, Leonardo & Abreu Saurin, Tarcisio, 2024. "Designing resilient health services supported by digital technologies: A study of the blood transfusion process," Technology in Society, Elsevier, vol. 77(C).
    9. Tortorella, Guilherme Luz & Saurin, Tarcísio Abreu & Fogliatto, Flavio S. & Rosa, Valentina M. & Tonetto, Leandro M & Magrabi, Farah, 2021. "Impacts of Healthcare 4.0 digital technologies on the resilience of hospitals," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    10. Tortorella, Guilherme L. & Fogliatto, Flavio S. & Saurin, Tarcísio A. & Tonetto, Leandro M. & McFarlane, Duncan, 2022. "Contributions of Healthcare 4.0 digital applications to the resilience of healthcare organizations during the COVID-19 outbreak," Technovation, Elsevier, vol. 111(C).
    11. nathalia, alicia, 2020. "UAS Alicia NH 130119033," OSF Preprints p468v, Center for Open Science.
    12. Denicolai, Stefano & Previtali, Pietro, 2023. "Innovation strategy and digital transformation execution in healthcare: The role of the general manager," Technovation, Elsevier, vol. 121(C).
    13. Belousova, Olga A. & Groen, Aard J. & Ouendag, Aniek M., 2020. "Opportunities and barriers for innovation and entrepreneurship in orphan drug development," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    14. Tortorella, Guilherme Luz & Fogliatto, Flavio S. & Kurnia, Sherah & Thürer, Matthias & Capurro, Daniel, 2022. "Healthcare 4.0 digital applications: An empirical study on measures, bundles and patient-centered performance," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    15. Raimo, Nicola & De Turi, Ivano & Albergo, Francesco & Vitolla, Filippo, 2023. "The drivers of the digital transformation in the healthcare industry: An empirical analysis in Italian hospitals," Technovation, Elsevier, vol. 121(C).

    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. Tortorella, Guilherme Luz & Saurin, Tarcísio Abreu & Fogliatto, Flavio S. & Rosa, Valentina M. & Tonetto, Leandro M & Magrabi, Farah, 2021. "Impacts of Healthcare 4.0 digital technologies on the resilience of hospitals," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    2. Gillani, Fatima & Chatha, Kamran Ali & Sadiq Jajja, Muhammad Shakeel & Farooq, Sami, 2020. "Implementation of digital manufacturing technologies: Antecedents and consequences," International Journal of Production Economics, Elsevier, vol. 229(C).
    3. Rafael, Lizarralde Dorronsoro & Jaione, Ganzarain Epelde & Cristina, López & Ibon, Serrano Lasa, 2020. "An Industry 4.0 maturity model for machine tool companies," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    4. Raimo, Nicola & De Turi, Ivano & Albergo, Francesco & Vitolla, Filippo, 2023. "The drivers of the digital transformation in the healthcare industry: An empirical analysis in Italian hospitals," Technovation, Elsevier, vol. 121(C).
    5. Tortorella, Guilherme Luz & Cawley Vergara, Alejandro Mac & Garza-Reyes, Jose Arturo & Sawhney, Rapinder, 2020. "Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers," International Journal of Production Economics, Elsevier, vol. 219(C), pages 284-294.
    6. Tortorella, Guilherme Luz & Saurin, Tarcísio Abreu & Filho, Moacir Godinho & Samson, Daniel & Kumar, Maneesh, 2021. "Bundles of Lean Automation practices and principles and their impact on operational performance," International Journal of Production Economics, Elsevier, vol. 235(C).
    7. Mariani, Marcello & Borghi, Matteo, 2019. "Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    8. Battaglia, Daniele & Galati, Francesco & Molinaro, Margherita & Pessot, Elena, 2023. "Full, hybrid and platform complementarity: Exploring the industry 4.0 technology-performance link," International Journal of Production Economics, Elsevier, vol. 263(C).
    9. Özköse, Hakan & Güney, Gül, 2023. "The effects of industry 4.0 on productivity: A scientific mapping study," Technology in Society, Elsevier, vol. 75(C).
    10. Bai, Chunguang & Dallasega, Patrick & Orzes, Guido & Sarkis, Joseph, 2020. "Industry 4.0 technologies assessment: A sustainability perspective," International Journal of Production Economics, Elsevier, vol. 229(C).
    11. Raj, Alok & Dwivedi, Gourav & Sharma, Ankit & Lopes de Sousa Jabbour, Ana Beatriz & Rajak, Sonu, 2020. "Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective," International Journal of Production Economics, Elsevier, vol. 224(C).
    12. Büchi, Giacomo & Cugno, Monica & Castagnoli, Rebecca, 2020. "Smart factory performance and Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    13. Calabrese, Armando & Costa, Roberta & Tiburzi, Luigi & Brem, Alexander, 2023. "Merging two revolutions: A human-artificial intelligence method to study how sustainability and Industry 4.0 are intertwined," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    14. Margherita, Emanuele Gabriel & Braccini, Alessio Maria, 2021. "Managing industry 4.0 automation for fair ethical business development: A single case study," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    15. Sriram Somanchi & Idris Adjerid & Ralph Gross, 2022. "To Predict or Not to Predict: The Case of the Emergency Department," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 799-818, February.
    16. Meindl, Benjamin & Ayala, Néstor Fabián & Mendonça, Joana & Frank, Alejandro G., 2021. "The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    17. Bokhorst, Jos A.C. & Knol, Wilfred & Slomp, Jannes & Bortolotti, Thomas, 2022. "Assessing to what extent smart manufacturing builds on lean principles," International Journal of Production Economics, Elsevier, vol. 253(C).
    18. Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro G., 2020. "Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation," International Journal of Production Economics, Elsevier, vol. 228(C).
    19. Laubengaier, Désirée A. & Cagliano, Raffaella & Canterino, Filomena, 2022. "It Takes Two to Tango: Analyzing the Relationship between Technological and Administrative Process Innovations in Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    20. Singha, Sumanta & Arha, Himanshu & Kar, Arpan Kumar, 2023. "Healthcare analytics: A techno-functional perspective," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

    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:tefoso:v:156:y:2020:i:c:s0040162519323005. 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.sciencedirect.com/science/journal/00401625 .

    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.