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Information technology consumerization in primary healthcare delivery: antecedents, fit-viability and perceived empowerment

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Abstract

Purpose

The purpose of this research was to explore the effect and perceived empowerment of privately-owned consumer-oriented technologies on the performance of primary healthcare workers in a developing economy.

Methods

In this cross-sectional survey, stratified random sampling was used to identify and recruit primary healthcare workers. Structured questionnaires were administered and the data was analyzed with Partial Least Squares-Structural Equation Modelling (PLS-SEM).

Results

Primary healthcare professionals find meaningful, fitting, and are confident when using personally owned consumer technologies for job tasks as they are consistent with their expectations of perceived impact. However, impact does not influence performance of primary healthcare workers relative to the overall outcomes of their departments or institutions.

Conclusion

Healthcare managers should develop strategies and policies to ensure that staff feel empowered in their use of personally-owned consumer technologies used for professional tasks.

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References

  1. Jung Y. What a smartphone is to me: Understanding user values in using smartphones. Inf Syst J. 2014;24:299–321.

    Article  Google Scholar 

  2. Wayne Gregory R, Kaganer E, Henfridsson O, Jean Ruch T. It consumerization and the transformation of it governance appendix A IT Governance Literature Review Table A1. Review of IT Governance Literature Study Definition of IT Governance Dimension of IT Governance. MIS Q [Internet]. 2018;42:1–9. Available from: https://www.misq.org/skin/frontend/default/misq/pdf/appendices/2018/V42I4Appendices/10_13703_RA_GregoryKaganerAppendices.pdf.

  3. Gewald H, Wang X, Weeger A, Raisinghani MS, Grant G, Sanchez OP, et al. Millennials’ attitudes toward IT consumerization in the workplace. Commun ACM. 2017;60:62–9.

    Article  Google Scholar 

  4. Leclercq-Vandelannoitte A. Leaving employees to their own devices: new practices in the workplace. J Bus Strategy. 2015;36:18–24.

    Article  Google Scholar 

  5. Dang-Pham D, Pittayachawan S, Bruno V, Kautz K. Investigating the diffusion of IT consumerization in the workplace: A case study using social network analysis. Inf Syst Front. 2019;21:941–55.

    Article  Google Scholar 

  6. Doargajudhur MS, Dell P. The Effect of Bring Your Own Device (BYOD) Adoption on Work Performance and Motivation. J Comput Inf Syst. Taylor & Francis; 2018;60:518–29. Available from: https://doi.org/10.1080/08874417.2018.1543001.

  7. Junglas I, Goel L, Ives B, Harris J. Innovation at work: The relative advantage of using consumer IT in the workplace. Inf Syst J. 2019;29:317–39.

    Article  Google Scholar 

  8. Ophoff J, Miller S. Business Priorities Driving BYOD Adoption: A Case Study of a South African Financial Services Organization. Issues Informing Sci Inf Technol. 2019;16:165–96.

    Google Scholar 

  9. Harris J, Ives B, Junglas I. IT Consumerization: When Gadgets Turn Into Enterprise IT Tools. MIS Q Exec. 2012;11:99–112.

    Google Scholar 

  10. Marshall S. IT Consumerization: A Case Study of BYOD in a Healthcare Setting. Technol Innov Manag Rev. 2014;4:14–8.

    Article  Google Scholar 

  11. Nisar S, Osman WR bt S. ICT Transformation through Byod Adoption in Healthcare of Pakistan. Int J Comput Sci Commun Networks. 2017;7:58–65.

  12. Vearrier L, Rosenberger K, Weber V. Use of Personal Devices in Healthcare: Guidelines From A Roundtable Discussion. J Mob Technol Med. 2018;7:27–34.

    Article  Google Scholar 

  13. Frimpong KO, Akumiah PO, Antwi-Asante DO, Nomah DK. Assessing of Information Communication Technology Development in Primary Health Care for Health Promotion , a Study at the Asante Akyem North District of Ghana. Imp J Interdiscip Res. 2017;3:0–5.

  14. Agarwal R, Jain P, Ghosh MS, Parihar KS. Importance of Primary Health Care in the Society. Int J Health Sci (Qassim). 2017;1:5–9.

    Google Scholar 

  15. Yaya S, Bishwajit G, Ekholuenetale M, Shah V, Kadio B, Udenigwe O. Urban-rural difference in satisfaction with primary healthcare services in Ghana. BMC Health Serv Res. BMC Health Services Research; 2017;17:1–9.

  16. Novignon J, Nonvignon J. Improving primary health care facility performance in Ghana: Efficiency analysis and fiscal space implications. BMC Health Serv Res. BMC Health Services Research; 2017;17:1–8.

  17. Bautista JR, Rosenthal S, Lin TTC, Theng YL. Predictors and outcomes of nurses’ use of smartphones for work purposes. Comput Human Behav. Elsevier Ltd; 2018;84:360–74. Available from: https://doi.org/10.1016/j.chb.2018.03.008.

  18. Mimbi L, Bankole F. ICT and health system performance in Africa: A multi-method approach. ACIS 2015 Proc - 26th Australas Conf Inf Syst. 2015. p. 1–15.

  19. Jarrahi MH, Crowston K, Bondar K, Katzy B. A pragmatic approach to managing enterprise IT infrastructures in the era of consumerization and individualization of IT. Int J Inf Manage. Elsevier; 2017;37:566–75. Available from: https://doi.org/10.1016/j.ijinfomgt.2017.05.016

  20. Al-Dweik G, Al-Daken LI, Abu-Snieneh H, Ahmad MM. Work-related empowerment among nurses: Literature review. Int J Product Qual Manag. 2016;19:168–86.

    Article  Google Scholar 

  21. Degago E. A Study on Impact of Psychological Empowerment on Employee Performance in Small and Medium Scale Enterprise Sectors. Eur J Bus Manag. 2014;6:60–72.

    Google Scholar 

  22. Kabanda S, Brown I. Bring-Your-Own-Device (BYOD) practices in SMEs in developing countries - The case of Tanzania. Proc 25th Australas Conf Inf Syst ACIS 2014. 2014.

  23. Koch H, Yan J, Zhang S, Milic N, Curry P. How Consumer Technology Is Changing the IT Function: A Multi-Case Study of Three Fortune 500 Companies. Inf Syst Manag. Taylor & Francis; 2019;36:336–49. Available from: https://doi.org/10.1080/10580530.2019.1652443.

  24. Moschella D, Neal D, Opperman P, Taylor J. The ‘Consumerization’ of Information Technology. Lead. Edge Forum. 2004. p. 1–20.

  25. Kadimo K, Kebaetse MB, Ketshogileng D, Seru LE, Sebina KB, Kovarik C, et al. Bring-your-own-device in medical schools and healthcare facilities: A review of the literature. Int J Med Inform. Elsevier; 2018;119:94–102. Available from: https://doi.org/10.1016/j.ijmedinf.2018.09.013.

  26. Köffer S, Ortbach K, Junglas I, Niehaves B, Harris J. Innovation Through BYOD? The Influence of IT Consumerization on Individual IT Innovation Behavior. Bus Inf Syst Eng. 2015;57:363–75.

    Article  Google Scholar 

  27. Junglas I, Goel L, Rehm S V., Ives B. On the benefits of consumer IT in the workplace—An IT empowerment perspective. Int J Inf Manage. 2022;64.

  28. Liang TP, Huang CW, Yeh YH, Lin B. Adoption of mobile technology in business: A fit-viability model. Ind Manag Data Syst. 2007;107:1154–69.

    Article  Google Scholar 

  29. Larosiliere G, Carter L. An Empirical Study On The Determinants Of E- Government Maturity: A Fit-Viability Perspective. 2013; Available from: http://aisel.aisnet.org/ecis2013_cr%0Ahttp://aisel.aisnet.org/ecis2013_cr/217.

  30. Goodhue DL, Thompson RL. Task-Technology and Individual Performance. MIS Q. 1995;213–36.

  31. Thomas KW, Velthouse BA. Cognitive Elements of Empowerment: An “Interpretive” Model of Intrinsic Task Motivation. Acad Manag Rev. 1990;15:666–81.

    Google Scholar 

  32. Spreitzer GM. Psychological, Empowerment in the Workplace: Dimensions. Measurement and Validation Acad Manag J. 1995;38:1442–65.

    Google Scholar 

  33. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q Manag Inf Syst. 1989;13:319–39.

    Article  Google Scholar 

  34. Mobasheri MH, King D, Johnston M, Gautama S, Purkayastha S, Darzi A. The ownership and clinical use of smartphones by doctors and nurses in the UK: A multicentre survey study. BMJ Innov. 2015;1:174–81.

    Article  Google Scholar 

  35. Ahmed N, Malik B. Impact of Psychological Empowerment on Job Performance of Teachers : Mediating Role of Psychological Well-being. Rev Econ Dev Stud. 2019;5:451–60.

    Article  Google Scholar 

  36. Hechanova MRM, Alampay RBA, Franco EP. Psychological empowerment, job satisfaction and performance among Filipino service workers. Asian J Soc Psychol. 2006;9:72–8.

    Article  Google Scholar 

  37. Chiang CF, Jang SC (Shawn). The Antecedents and Consequences of Psychological Empowerment: The Case of Taiwan’s Hotel Companies. J Hosp Tour Res. 2008;32:40–61.

  38. Nasir, Halimatussakdiah, Suryani I. Psychological Empowerment, Innovative Work Behavior and Job Satisfaction. Proc 3rd Int Conf Accounting, Manag Econ 2018 (ICAME 2018). 2019;636–43.

  39. Tuuli MM, Rowlinson S. Performance Consequences of Psychological Empowerment. J Constr Eng Manag. 2009;135:1334–47.

    Article  Google Scholar 

  40. Spreitzer GM. Social Structural Characteristics of Psychological Empowerment Author (s): Gretchen M . Spreitzer Source : The Academy of Management Journal, Vol . 39 , No . 2 (Apr ., 1996 ), pp . 483-504 Published by: Academy of Management Stable URL : http://www.j. Acad Manag J. 1996;39:483–504. Available from: http://www.jstor.org/stable/256789.

  41. Ghana Health Service. The Health Sector in Ghana: Facts and Figures. Ghana Heal Serv Rep. 2018.

  42. Peng DX, Lai F. Using partial least squares in operations management research: A practical guideline and summary of past research. J Oper Manag. Elsevier B.V.; 2012;30:467–80. Available from: https://doi.org/10.1016/j.jom.2012.06.002.

  43. Chin WW. The partial least squares approach to structural equation modeling. In G. A. Macoulides (Ed.) Modern methods for business research. Mod Methods Bus Res. 1998;295–336.

  44. Urbach N, Ahlemann F. Structural Equation Modeling in Information Systems Research Using Partial Least Squares. J Inf Technol Theory Appl. 2010;11:5–40.

    Google Scholar 

  45. Ringle C, Wende S, Becker J. SmartPLS 3 [computer software]. SmartPLS GmbH. 2015.

  46. Wong KKK. Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Mark Bull. 2013;24:1–32.

    Google Scholar 

  47. Hair JF, Risher JJ, Sarstedt M, Ringle CM. When to use and how to report the results of PLS-SEM. Eur Bus Rev. 2019;31:2–24.

    Article  Google Scholar 

  48. Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951;16:297–334.

    Article  MATH  Google Scholar 

  49. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18:39–50.

    Article  Google Scholar 

  50. Henseler J, Ringle CM, Sarstedt M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J Acad Mark Sci. 2015;43:115–35.

    Article  Google Scholar 

  51. Kline RB. Principles and practice of structural equation modeling. Guilford publications. 2015.

  52. Alin A. Multicollinearity. Wiley Interdiscip Rev. Comput Stat. 2010;2:370–4.

    Article  Google Scholar 

  53. Hair JF Jr, Sarstedt M, Hopkins L, Kuppelwieser VG. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. Eur Bus Rev. 2014;26:106–21.

    Article  Google Scholar 

  54. Hair JF, Ringle CM, Sarstedt M. PLS-SEM: Indeed, a silver bullet. J Mark Theory Pract. 2011;19:139–51.

    Article  Google Scholar 

  55. Dijkstra TK, Henseler J. Consistent partial least squares path modeling. MIS Q. 2015;39:297–316.

    Article  Google Scholar 

  56. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hillsdale, New Jersey: Erlbaum; 1988.

    MATH  Google Scholar 

  57. Wickramasinghe N, Schaffer JL, Seitz J, Muhammad I, Vogel D. Fit-Viability Model Examination of e-Health Solutions. Theor to Inf Super Heal Informatics Res Pract. 2018;251–69.

  58. Al-Makhadmah IM, Al Najdawi BM, Al-Muala IM. Impact Of Psychological Empowerment on the Performance of Employees in the Four- and Five-Star Hotel Sector in the Dead Sea – Jordan Tourist Area. Geoj Tour Geosites. 2020;30:896–904.

    Article  Google Scholar 

  59. Almansour YM. the Relationship Between Empowerment and Job Performance “an Empirical Investigation on Industrial Sector in Jordan.” Indian J Manag Sci. 2013;3:32–41.

    Google Scholar 

  60. Ölçer F, Florescu MS. Mediating Effect of Job Satisfaction in the relationship between Psychological Empowerment and Job Performance. Bus Excell Manag. 2015;5:5–32.

    Google Scholar 

  61. Durrah O, Khdour N, Al-Abbadi S, Saif N. The Impact of Psychological Empowerment on the Effectiveness of Job Performance : A Field Study on the Jordanian Private Banks. Eur J Bus Manag. 2014;6:176–89.

    Google Scholar 

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Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors and Affiliations

  1. Department of OMIS, University of Ghana Business School, Accra, Ghana

    Eric Afful-Dadzie, David Nii Klote Clottey, Emmanuel Awuni Kolog & Samuel Odame Lartey

Authors
  1. Eric Afful-Dadzie
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  2. David Nii Klote Clottey
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  3. Emmanuel Awuni Kolog
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  4. Samuel Odame Lartey
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by DKC, EAD and SOL. The first draft of the manuscript was written by DKC and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Eric Afful-Dadzie.

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Ethics Approval

This is an observational study. The University of Ghana’s Research Ethics Committee has confirmed that no ethical approval is required.

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Informed consent was obtained from all individual participants included in the study.

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The authors have no relevant financial or non-financial interests to disclose.

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Afful-Dadzie, E., Clottey, D.N.K., Kolog, E.A. et al. Information technology consumerization in primary healthcare delivery: antecedents, fit-viability and perceived empowerment. Health Technol. 13, 413–425 (2023). https://doi.org/10.1007/s12553-023-00749-z

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