DOI QR코드

DOI QR Code

What IF Analysis Impacting CRM in Medical Sector

  • Arshi Naim (Department of Information Systems, King Khalid University, Abha KSA, Security Forces Hospital) ;
  • Kholood Alqahtani (Department of Information Systems, King Khalid University, Abha KSA, Security Forces Hospital) ;
  • Mohammad Faiz Khan (Department of Information Systems, King Khalid University, Abha KSA, Security Forces Hospital)
  • 발행 : 2023.07.30

초록

Decision Support Systems (DSS) is an Information Systems (IS) application that aids in decision-making processes for many business concepts and Customer Relationship Management (CRM) is one of them and it depends on the firm's tasks for developing and retaining customers while achieving their satisfaction and enhancing the sense of belongingness for their products and services. Profit maximization, the process of customer value, and building strategic values for the firm are the three empirical benefits of CRM that are achieved through analytical, operational, and direction (AOD) capabilities respectively. This research focuses on the application of DSS models of what-if analysis (WIA) for CRM at (AOD) and also shows the dependence on the Information Success model (ISM). Hypothetical data are analyzed for (AOD) by three types of (WIA) to attain CRM and profit maximization and this analytical method can be used by any customer-oriented firm as a general model and for the purpose of the study we have compared the CRM between patients and hospital management.

키워드

참고문헌

  1. Raab, G., Ajami, R. A., & Goddard, G. J. (2016). Customer relationship management: A global perspective. CRC Press. 
  2. Peppers, D., & Rogers, M. (2004). Managing customer relationships: A strategic framework. John Wiley & Sons. 
  3. Chan, S. L., & Ip, W. H. (2011). A dynamic decision support system to predict the value of customer for new product development. Decision support systems, 52(1), 178-188.  https://doi.org/10.1016/j.dss.2011.07.002
  4. Grover, V., Chiang, R. H., Liang, T. P., & Zhang, D. (2018). Creating strategic business value from big data analytics: A research framework. Journal of Management Information Systems, 35(2), 388-423.  https://doi.org/10.1080/07421222.2018.1451951
  5. Filip, F. G. (2020). DSS-A Class of Evolving Information Systems. In Data Science: New Issues, Challenges and Applications (pp. 253-277). Springer, Cham. 
  6. Appelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems, 25, 29-44.Pavoine, S., Vallet, J., Dufour, A. B., Gachet, S., & Daniel, H. (2009). On the challenge of treating various types of variables: application for improving the measurement of functional diversity. Oikos, 118(3), 391-402. 
  7. Kaiser, R., Spiegel, P. B., Henderson, A. K., & Gerber, M. L. (2003). The application of geographic information systems and global 
  8. positioning systems in humanitarian emergencies: lessons learned, programme implications and future research. Disasters, 27(2), 127-140. 
  9. O'brien, J. A., & Marakas, G. M. (2005). Introduction to information systems (Vol. 13). New York City, USA: McGraw-Hill/Irwin. 
  10. Arnott, D. (2004). Decision support systems evolution: framework, case study and research agenda. European Journal of Information Systems, 13(4), 247-259.  https://doi.org/10.1057/palgrave.ejis.3000509
  11. Watson, H. J. (2018). Revisiting Ralph Sprague's framework for developing decision support systems. Communications of the Association for Information Systems, 42(1), 13. 
  12. Aronson, J. E., Liang, T. P., & MacCarthy, R. V. (2005). Decision support systems and intelligent systems (Vol. 4). Upper Saddle River, NJ, USA:: Pearson Prentice-Hall. 
  13. Sharkey, U., & Acton, T. (2012). Innovations in information systems from transaction processing to expert systems. 
  14. Polkowski, L., Tsumoto, S., & Lin, T. Y. (Eds.). (2012). Rough set methods and applications: new developments in knowledge discovery in information systems (Vol. 56). Physica. 
  15. Jia, P., Cheng, X., Xue, H., & Wang, Y. (2017). Applications of geographic information systems (GIS) data and methods in obesity-related research. Obesity reviews, 18(4), 400-411.  https://doi.org/10.1111/obr.12495
  16. Sigala, M. (2018). Implementing social customer relationship management. International Journal of Contemporary Hospitality Management. 
  17. Watanabe, C., & Hobo, M. (2004). Co-evolution between internal motivation and external expectation as a source of firself-propagating function creation. Technovation, 24(2), 109-120.  https://doi.org/10.1016/S0166-4972(02)00043-3
  18. Alt, R., & Puschmann, T. (2004, January). Successful practices in customer relationship management. In 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the (pp. 9-pp). IEEE. 
  19. Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.  https://doi.org/10.1080/07421222.2003.11045748
  20. Foss, B., Stone, M., & Ekinci, Y. (2008). What makes for CRM system success-Or failure?. Journal of Database Marketing & Customer Strategy Management, 15(2), 68-78.  https://doi.org/10.1057/dbm.2008.5
  21. Cuthbertson, R., & Laine, A. (2003). The role of CRM within retail loyalty marketing. Journal of Targeting, Measurement and Analysis for Marketing, 12(3), 290-304.  https://doi.org/10.1057/palgrave.jt.5740116
  22. Collins, K. (2001). Analytical CRM: Driving Profitable Customer Relationships. Strategic Planning. 
  23. Friday, D., Ryan, S., Sridharan, R., & Collins, D. (2018). Collaborative risk management: a systematic literature review. International Journal of Physical Distribution & Logistics Management. 
  24. Eom, S. (2020, May). DSS, BI, and Data Analytics Research: Current State and Emerging Trends (2015-2019). In International Conference on Decision Support System Technology (pp. 167-179). Springer, Cham. 
  25. Rupnik, R., & Kukar, M. (2007). Decision support system to support decision processes with data mining. Journal of information and organizational sciences, 31(1), 217-232. 
  26. Asemi, A., Safari, A., & Zavareh, A. A. (2011). The role of management information system (MIS) and Decision support system (DSS) for manager's decision making process. International Journal of Business and Management, 6(7), 164-173. 
  27. Naim, A., Khan, M. F., Hussain, M. R., & Khan, N. (2019). "Virtual Doctor" Management Technique in the Diagnosis of ENT Diseases. JOE, 15(9), 88. 
  28. Hussain, M. R., Naim, A., & Khaleel, M. A. (2020). Implementation of Wireless Sensor Network Using Virtual Machine (VM) for Insect Monitoring. In Innovations in Electronics and Communication Engineering (pp. 73-78). Springer, Singapore 
  29. M. R. Hussain et al., "Effective cost optimization approach in Healthcare to Minimize the treatment cost of Brain-tumor Patients," 2019 International Conference on Computer and Information Sciences (ICCIS), 2019, pp. 1-5, doi: 10.1109/ICCISci.2019.8716459.