IDEAS home Printed from https://ideas.repec.org/a/ibn/assjnl/v15y2019i10p1.html
   My bibliography  Save this article

The Impact of Brand Trust on Physician’s Prescription Decision Towards Prothrombin Complex Concentrate with a Special Reference to Octaplex®

Author

Listed:
  • D. R. G. Perera
  • W. M. C. Bandara Wanninayake

Abstract

Management of Hemostasis is an integral role for any Intensivist in assurance of recovery of a hemorrhage patient who is often treated in an ICU, and building trust of a product segment related to such vital treatment will undoubtedly hold an utmost importance. Yet in researches and articles in current Medical Marketing setup it is found to be very limited, and in the case of Biological and Bio-Similar Marketing its almost non-existence. The purpose of this research paper is to investigate and prove the significant positive impact of Brand Trust on Physicians Prescription Decision and Moderation impact powered by the synergy of Relationship Marketing. The research consists of data which was collected via online questionnaire and captured the data required from the target sample cohort which is distributed via respective specialized academic colleges of their representation through email and filed online by the participants of quantitative research. Moreover, two of the main key opinion leaders (KOLs) were interviewed and qualitative data were summarized. The collected data were analyzed using Structural Equation Modeling (SEM) procedures to reach meaningful conclusions. Thereby the study proves the significant positive impact of Brand Trust on Physicians Prescription Decision and Moderation impact which synergized by Relationship Marketing. The study is an original contribution to the field of Marketing in Biological and Pharmaceutical Industry. The proposed relationships are based on Brand Trust, Physician’s Prescription Decision and Relationship Marketing. Furthermore, the Moderating effect of Relationship Marketing on the relationship between Brand Trust and Physician’s Prescription Decision is unique to this study.

Suggested Citation

  • D. R. G. Perera & W. M. C. Bandara Wanninayake, 2019. "The Impact of Brand Trust on Physician’s Prescription Decision Towards Prothrombin Complex Concentrate with a Special Reference to Octaplex®," Asian Social Science, Canadian Center of Science and Education, vol. 15(10), pages 1-1, October.
  • Handle: RePEc:ibn:assjnl:v:15:y:2019:i:10:p:1
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ass/article/download/0/0/40871/42200
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/ass/article/view/0/40871
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ramkumar Janakiraman & Shantanu Dutta & Catarina Sismeiro & Philip Stern, 2008. "Physicians' Persistence and Its Implications for Their Response to Promotion of Prescription Drugs," Management Science, INFORMS, vol. 54(6), pages 1080-1093, June.
    Full references (including those not matched with items on IDEAS)

    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. Carey, Colleen & Lieber, Ethan M.J. & Miller, Sarah, 2021. "Drug firms’ payments and physicians’ prescribing behavior in Medicare Part D," Journal of Public Economics, Elsevier, vol. 197(C).
    2. Appelt, Silvia, 2010. "Authorized Generic Entry prior to Patent Expiry: Reassessing Incentives for Independent Generic Entry," Discussion Papers in Economics 11476, University of Munich, Department of Economics.
    3. Szymanowski, M.G., 2009. "Consumption-based learning about brand quality : Essays on how private labels share and borrow reputation," Other publications TiSEM b12825d8-5e21-4437-adda-b, Tilburg University, School of Economics and Management.
    4. Blankart, Katharina & Lichtenberg, Frank R., 2022. "The effects of off-label drug use on disability and medical expenditure," Ruhr Economic Papers 969, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Holtrop, Niels & Wieringa, Jakob & Gijsenberg, Maarten & Stern, P., 2016. "Competitive reactions to personal selling," Research Report 16004-MARK, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    6. Daniel Avdic & Katharina E. Blankart, 2021. "A hard look at soft cost-control measures in healthcare organizations: Evidence from preferred drug policies in Germany," Papers 2021-07, Centre for Health Economics, Monash University.
    7. Ricardo Montoya & Oded Netzer & Kamel Jedidi, 2010. "Dynamic Allocation of Pharmaceutical Detailing and Sampling for Long-Term Profitability," Marketing Science, INFORMS, vol. 29(5), pages 909-924, 09-10.
    8. Stefan Stremersch & Aurélie Lemmens, 2009. "Sales Growth of New Pharmaceuticals Across the Globe: The Role of Regulatory Regimes," Marketing Science, INFORMS, vol. 28(4), pages 690-708, 07-08.
    9. Newham, Melissa & Valente, Marica, 2024. "The cost of influence: How gifts to physicians shape prescriptions and drug costs," Journal of Health Economics, Elsevier, vol. 95(C).
    10. Doug J. Chung & Byungyeon Kim & Byoung G. Park, 2019. "How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove–Arrow Framework," Management Science, INFORMS, vol. 65(11), pages 5197-5218, November.
    11. Xiaojing Dong & Ramkumar Janakiraman & Ying Xie, 2014. "The Effect of Survey Participation on Consumer Behavior: The Moderating Role of Marketing Communication," Marketing Science, INFORMS, vol. 33(4), pages 567-585, July.
    12. Gonzalez, Jorge & Sismeiro, Catarina & Dutta, Shantanu & Stern, Philip, 2008. "Can branded drugs benefit from generic entry? The role of detailing and price in switching to non-bioequivalent molecules," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 247-260.
    13. Van Gestel, R.; Müller, T.; Bosmans, J.;, 2017. "Learning from failure in healthcare: dynamic panel evidence of a physician shock effect," Health, Econometrics and Data Group (HEDG) Working Papers 17/24, HEDG, c/o Department of Economics, University of York.
    14. Ravi Aron & Shantanu Dutta & Ramkumar Janakiraman & Praveen A. Pathak, 2011. "The Impact of Automation of Systems on Medical Errors: Evidence from Field Research," Information Systems Research, INFORMS, vol. 22(3), pages 429-446, September.
    15. Raf Van Gestel & Tobias Müller & Johan Bosmans, 2018. "Learning from failure in healthcare: Dynamic panel evidence of a physician shock effect," Health Economics, John Wiley & Sons, Ltd., vol. 27(9), pages 1340-1353, September.
    16. Xiaojing Dong & Pradeep Chintagunta & Puneet Manchanda, 2011. "A new multivariate count data model to study multi-category physician prescription behavior," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 301-337, September.
    17. Stefan Stremersch & Vardit Landsman & Sriram Venkataraman, 2013. "The Relationship Between DTCA, Drug Requests, and Prescriptions: Uncovering Variation in Specialty and Space," Marketing Science, INFORMS, vol. 32(1), pages 89-110, June.
    18. Margaret K. Kyle, 2019. "The Alignment of Innovation Policy and Social Welfare: Evidence from Pharmaceuticals," NBER Chapters, in: Innovation Policy and the Economy, Volume 20, pages 95-123, National Bureau of Economic Research, Inc.
    19. Hongju Liu & Qiang Liu & Pradeep K. Chintagunta, 2017. "Promotion Spillovers: Drug Detailing in Combination Therapy," Marketing Science, INFORMS, vol. 36(3), pages 382-401, May.
    20. Rizwan Raheem Ahmed & Dalia Streimikiene & Josef Abrhám & Justas Streimikis & Jolita Vveinhardt, 2020. "Social and Behavioral Theories and Physician’s Prescription Behavior," Sustainability, MDPI, vol. 12(8), pages 1-25, April.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:ibn:assjnl:v:15:y:2019:i:10:p:1. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.