Document Type : Original Research Manuscripts


1 Department of Managment, Najafabad Branch, Islamic Azad University, Najafabad, Iran

2 Department of Management, Faculty of Human Resource, Azad University, Dehaghan , Iran

3 Department of Management, Faculty of Humanities, Dehaghan Branch, Islamic Azad University, Dehaghan, Iran.


The purpose of this research is to model supply chain performance management based on information dashboards in private banks. The data was derived from in-depth and semi-structured interviews with 12 managers of five private banks in the country, which were based on purposeful sampling and continued until reaching theoretical saturation. The validity of the research data was checked and confirmed by going back to the participants and external auditors. Data analysis was done based on the Strauss and Corbin model in the form of open, axial, and selective coding in the Atlas TI8 software. Modeling of supply chain performance management based on information dashboard in private banks including causal factors (intensification of competition, supply chain inefficiency, banking system challenges), intervening (appropriate corrective measures, organizational strategies, banking service challenges), platforms (quality management services, facilitating elements, and action management), strategies (development strategy, partnership strategy, discovery strategy, and focus strategy) and consequences (correction of performance evaluation system, financial-administrative function, performance improvement and innovation and supply chain development). To succeed in developing and changing their business model, they must correctly recognize factors affecting the supply chain of banking services in the fourth industrial revolution and digital revolution and successfully transition to the new technological era. A supply chain refers to the flow of materials, information, funds received from customers, and services from suppliers of raw materials through factories and warehouses to final customers, and includes organizations and processes that create goods, information, and services and deliver them to intended consumers.


Main Subjects

  1. Abusweilem, M., & Abualoush, S. (2019). The impact of knowledge management process and business intelligence on organizational performance. Management Science Letters, 9(12), 2143-2156. Doi: 5267/j.msl.2019.6.020.
  2. Balouyi, Maryam and Khosrozadeh Sarasti, Zohreh. (2017). Investigating the relationship between business intelligence and knowledge management and the type of decision-making of the managers of the commercial department of Mazandaran province, National Conference on Management, Accounting and Business Development, Sari.[InPersian]
  3. Bontis, N. (2007). Managing Organizational Knowledge by Diagnosing Intellectual Capital: Framing and Advancing the State of the Field1. In World Congress on intellectual capital readings (pp. 13-56). Routledge.
  4. Bouaoula, W., Belgoum, F., Shaikh, A., Taleb-Berrouane, M., & Bazan, C. (2019). The impact of business intelligence through knowledge management. Business Information Review, 36(3), 130-140. Doi: 1177/0266382119868082.
  5. Choi, B. ‌(2002). Knowledge management enablers, processes, and organizational peformance: an integration and empirical examination. Korea Advanced Institute of Science and Technology, Division of Management Engineering, Doctoral Thesis.
  6. Davenport, T. H., & Prusak, L. (1998). Working knowledge: How organizations manage what they know. Harvard Business Press.
  7. De las Heras-Rosas, C., & Herrera, J. (2021). Innovation and competitive intelligence in business. A bibliometric analysis. International Journal of Financial Studies, 9(2), 31.‏ Doi: 3390/ijfs9020031.
  8. Dei, D. G. J., & van der Walt, T. B. (2020). Knowledge management practices in universities: The role of communities of practice. Social Sciences & Humanities Open, 2(1), 100025. Doi: 1016/j.ssaho.2020.100025.
  9. Duffy, J.‌ (2000). Knowledge management: to be or not to be? Information management journal, 34(1), 64-64.
  10. Etzkowitz, H., & Klofsten, M. (2005). The innovating region: toward a theory of knowledge‐based regional development. R&D Management35(3), 243-255.
  11. Farshid, R., Abedi, Y., & Jafari, S. (2022). Small-Data and Its Application among Various Scientific Areas: A Scientometric Study. Scientometrics Research Journal8(15), 255-281. Doi: 10.22070/rsci.2020.5871.1440. [In Persian]
  12. Gunjan, B.‌ (2019). Knowledge management: Why do we need it for corporates? Malaysian
    Journal of Library & Information Science
    . , 10(2), 37–50.
  13. Hashemi, S., Alvedari, H., Daraei, M. R., & Razini, R. (2018). Model design of organizational dashboard development with BI logic in governmental organizations. Quarterly Journal of Public Organizations Management6(3), 49-64. Doi: 1001.1.2322522.1397. [In Persian]
  14. Jedali, M., & jedali, F. (2021). The effect of knowledge management on improving adolescent behaviors with the mediating role of business intelligence in Sepah Bank, Tabriz. Journal of Accounting and Management Vision4(40), 1-12. [In Persian]
  15. Kahaner, L. (1997). Competitive intelligence: how to gather analyze and use information to move your business to the top. Simon and Schuster.
  16. Khodaei, A., & Karimzadegan Moghadam, D. (2014). Investigation of commercial intelligence feasability implementation in insurance industry. Iranian Journal of Insurance Research3(4), 165-187. [In Persian]
  17. Liang, T. P., & Liu, Y. H. (2018). Research landscape of business intelligence and big data analytics: A bibliometrics study. Expert Systems with Applications111, 2-10.‏ DOI: 10.1016/j.eswa.2018.05.018.
  18. López-Robles, J. R., Otegi-Olaso, J. R., Arcos, R., Gamboa-Rosales, N. K., & Gamboa-Rosales, H. (2018). Mapping the structure and evolution of JISIB: A bibliometric analysis of articles published in the Journal of Intelligence Studies in Business between 2011 and 2017. Journal of intelligence studies in business, 8(3).‏ Doi: 37380/jisib.v8i3.362
  19. Meyer, M., & Zack, M.‌ (1996). The design and implementation of information
    Sloan Management Review, 37(3), 43-59.
  20. Moomivand, H. A., Hassani Ahangar, M. R., Tahmasb Kazemi, B., saleh nejad, S. A., & kameli, B. (2022). Mapping and Clustering of commercialization Researches Based on Co-Word Analysis of Articles Indexed in Web of Science (WoS) Database. Scientific Journal of Strategic Management of Organizational Knowledge5(2), 77-110. Doi: 1001.1.26454262.1401. [In Persian].
  21. Moscoso-Zea, O., Castro, J., Paredes-Gualtor, J., & Luján-Mora, S. (2019). A hybrid infrastructure of enterprise architecture and business intelligence & analytics for knowledge management in education. IEEE access, 7, 38778-38788. Doi: 1109/ACCESS.2019.2906343
  22. Najafi Yazdi, M. (2012). Examining the components of business intelligence (knowledge management and business processes) on the overall organization. Master's thesis. Islamic Azad University, Islamic Azad University, Yazd Branch, Faculty of Humanities and Management. Retrievable from: [In Persian]
  23. Najafi, H., Qabadian, M., & Pour Hosseini, E. (2023). Providing a Knowledge Dissemination System to Develop the Managers' Professional Skills. International Journal of Knowledge Processing Studies, 3(2), 78-89. doi: 10.22034/kps.2023.364266.1057
  24. Nazem, M. and Mukherji, B. (2017). Knowledge management in libraries and information centers: concepts, tools and approaches. Translated by Zahra Jafarzadeh Kermani and Masoumeh Arabshahi. Tehran: Ketabdar. [In Persian]
  25. Nonaka, I., & Takeuchi, H. ‌(1995). The Knowledge Creation Company: How Japanese Companies Create the Dynamics of Innovation, Oxford University Press, New York, NY.
  26. Nonaka, I., & Teece, D. J. (Eds.). (2001). Managing industrial knowledge: creation, transfer and utilization. Sage.
  27. Omar, Y. M., Minoufekr, M., & Plapper, P. (2019). Business analytics in manufacturing: Current trends, challenges and pathway to market leadership. Operations Research Perspectives6, 100127. DOI: 10.1016/j.orp.2019.100127.
  28. Padidarfard, M., Amini, M., & Garshivaz, B. (2022). A Conceptual Framework for Data-Driven Digital Transformation from the Perspective of Cyber-Physical-Social Systems Thinking. International Journal of Knowledge Processing Studies2(2), 39-47. doi: 10.22034/kps.2022.149698
  29. Quagini, L., & Tonchia, S. (2010). Performance measurement: Linking balanced scorecard to business intelligence. Springer Science & Business Media.
  30. Ranjan, J. (2008). Business justification with business intelligence. Vine.
  31. Ranjan, J. (2009). Business intelligence: Concepts, components, techniques and benefits. Journal of theoretical and applied information technology9(1), 60-70.
  32. Ranjbar, C., Heydari, H. and Rafiei, S. (2013). Knowledge management strategies and its impact on the business intelligence of organizations, the first international symposium of management sciences focusing on sustainable development, Tehran, [In Persian]
  33. Rastegar, A., Hakaki, A. (2020). The Impact of Knowledge Management Infrastructure Capabilities on Business Intelligence with Mediatory role of Open Innovation in Manufacturing SMEs, Journal of Modern Research in Decision Making, 5(1), 119-139. Doi: 1001.1.24766291.1399. [In Persian].
  34. Saqib, M., Al Toobi, S., Al Nadhiri, F., & Younus, F. (2018). Integrating knowledge management and business intelligence practices to improve organizational performance. In 2018 Majan International Conference (MIC) (pp. 1-10). IEEE. DOI:1109/MINTC.2018.8363154.
  35. Sharp, S. (2009). Competitive intelligence advantage: how to minimize risk, avoid surprises, and grow your business in a changing world. John Wiley & Sons.
  36. Shokry, A., & Ghazizadeh, Z. (2020). Survey of Business Intelligence Systems as a Knowledge Management Tool for Improving Business in Investment Holding by using Systems Dynamic Approach. Scientific Journal of Strategic Management of Organizational Knowledge2(4), 41-78. [In Persian].
  37. Soheili F, Shabani A, Khasseh A. (2016). Intellectual Structure of Knowledge in Information Behavior: A Co-Word Analysis. Human information interaction, 2(4), 21-36. Doi: 1001.1.24237418.1394. [In Persian].
  38. Soheili F, Khasseh A A, Koranian P. (2019). Mapping Intellectual Structure of Knowledge and Information Science in Iran based on Co-Word Analysis. Iranian Journal of Information Processing & Management, 34 (4):1905-1938. Doi: 35050/JIPM010.2019.026. [In Persian].
  39. Soleimani, M. and Atefat Doust, A. (2018). Investigating the effect of business intelligence on organizational decision-making by considering the mediating role of data quality variables and the context of business intelligence (case study: employees of Qom Kausar store). [In Persian].
  40. Sousa, C. A., & Hendriks, P. H. ‌(2006). The diving bell and the butterfly: The need for grounded theory in developing a knowledge-based view of organizations. Organizational Research Methods, 9(3), 315-338.
  41. Wiig, K. M. (1993). Knowledge Management Foundations. Thinking about
    Thinking How People and Organizations Create, Represent, and Use
    Knowledge Management.
  42. Zeighami, R., Bagheri Nesami, M., Haghdoost, F., & Yadavar, M. (2008). Content analysis. Iranian Nursing Quarterly, 21 (53): 41-52. [In Persian].
  43. Zou, Z., Cheng, J., Huang, K., & Gui, Y. (2019). Research on the Developments of Business Intelligence and its Enlightenment based on Bibliometric Statistics and Knowledge Map Analysis. In Journal of Physics: Conference Series (Vol. 1176, No. 4, p. 042089). IOP Publishing. Doi: 1088/1742-6596/1176/4/042089