با همکاری مشترک دانشگاه پیام نور و انجمن مدیریت دولتی ایران و انجمن مدیریت رفتار سازمانی

نوع مقاله : پیمایشی

نویسنده

استادیار، گروه مدیریت دولتی، دانشگاه پیام نور، ایران، تهران.

چکیده

بهبود تصمیم‌گیری و عملکرد سازمان‌های دولتی کشور، نیازمند سازوکارهای لازم برای بهره‌گیری از تجارب پیشین است که با عنوان حافظه سازمانی شناخته می‌شود. این مطالعه یک پژوهش کاربردی-توسعه‌ای است که با هدف طراحی و اعتبارسنجی الگوی حافظه سازمانی در سازمان‌های دولتی کشور انجام شد. در بخش کیفی با استفاده از روش گراندد تئوری به شناسایی عوامل زیربنایی و الگوی روابط آن‌ها پرداخته شد. برای این منظور با 18 نفر از مدیران سازمان برنامه و سیاست‌گذاری کلان کشور با روش نمونه‌گیری هدفمند، مصاحبه انجام شد. پس از طراحی الگوی پارادایمی پژوهش از روش حداقل مربعات جزئی برای اعتبارسنجی الگو استفاده شد. در این بخش از ابزار پرسشنامه برای گردآوری داده‌ها استفاده شد و از دیدگاه 93 نفر از مدیران و کارشناسان ذی‌ربط با روش نمونه‌گیری طبقه‌ای استفاده گردید. نتایج این پژوهش نشان داد مقوله محوری حافظه سازمانی از چهار عامل حافظه شناختی، توصیفی، رویه‌ای و رفتاری تشکیل می‌شود. مدیریت دانش شرایط و بستر زمینه‌ای را فراهم می‌آورد و مواردی مانند اسناد بالادستی نظام نقش مداخله‌گر دارند. یادگیری سازمانی، بهبود مستمر و امکانات موجود نقش علی را ایفا می‌کنند. در نهایت نتایج نشان داده است حافظه سازمانی چنانچه با اتخاذ راهبردهای لازم در سطح فردی و سازمانی همراه شود می‌تواند شرایط را برای بهبود عملکرد شغلی، سازمانی و در نهایت افزایش رضایت ارباب رجوع و بهره‌وری سازمانی فراهم آورد.

کلیدواژه‌ها

عنوان مقاله [English]

Designing and Validating the Organizational Memory Model in the Country's Government Organizations

نویسنده [English]

  • Ali Jamshidi

Assistant Professor, Department of Public Administration, Payame Noor University, Tehran, Iran

چکیده [English]

Improving the decision-making and performance of the country's government organizations requires the necessary mechanisms to benefit from previous experiences, which is known as organizational memory. This study is an applied-developmental research conducted to design and validate the model of organizational memory in government organizations of the country. In the qualitative part, the underlying factors and their relationship patterns were identified using the grounded theory method. For this purpose, an interview was conducted with 18 managers of the country's macro-policy and program organization with the purposeful sampling method. After designing the research paradigm, the partial least squares method was used to validate the model. In this section, a questionnaire tool was used to collect data, and the views of 93 managers and related experts were used with the stratified sampling method. The results of this research showed that the central category of organizational memory consists of four cognitive, descriptive, procedural, and behavioral memory factors. Knowledge management provides the background and conditions, and things like the upstream documents of the system play an intervening role. Organizational learning, continuous improvement, and existing facilities play a causal role. Finally, the results have shown that organizational memory, if accompanied by the adoption of necessary strategies at the individual and organizational levels, can provide the conditions for improving job and organizational performance and ultimately increase client satisfaction and organizational productivity.

کلیدواژه‌ها [English]

  • Organizational Memory
  • Public Sector
  • Mixed Research
Adobor, H., Kudonoo, E., & Daneshfar, A. (2019). Knowledge management capability and organizational memory: a study of public sector agencies. International Journal of Public Sector Management, 32(6), 671-687.
Antunes, H. D. J. G., & Pinheiro, P. G. (2020). Linking knowledge management, organizational learning and memory. Journal of Innovation & Knowledge, 5(2), 140-149.
Azar, A., & Gholamzadeh, R. (2019). Partial least squares. Tehran: Negah Danesh Publications. (In Persian)
Benisi, P. (2018). Predicting organizational memory based on organizational silence and professional ethics in school principals in Tehran. Educational Leadership and Management Quarterly, 13(1), 59-73. (In Persian)
Cegarra, J. G., & Martelo, S. (2020). The effect of organizational memory on organizational agility: Testing the role of counter-knowledge and knowledge application. Journal of Intellectual Capital, 21(3), 459-479.
Danaifard, H., Alvani, M., & Azar, A. (2016). Qualitative research methodology in management: a comprehensive approach. Tehran: Safar Publications. (In Persian)
Davari, A., & Rezazadeh, A. (2013). Structural equation modeling with PLS software. Tehran: Jihad Academic Press. (In Persian)
Dehghani, M., & Mesbahi, M. (2019). The effect of organizational memory on new product development performance in knowledge-based companies. Business Management Studies, 11(22), 177-196. (In Persian)
DeSousa, A. F., Chowdhury, A., & Silva, A. J. (2021). Dimensions and mechanisms of memory organization. Neuron, 109(17), 2649-2662.
Dunham, A. H. (2010). Knowledge management in the context of an ageing workforce: Organizational memory and mentoring, Badbadoo jouornal, 12(4), 432-442.
Dunham, A., & Burt, C. (2014). Understanding employee knowledge: the development of an organizational memory scale. The Learning Organization, 21(2), 126-145.
Eisenman, M., & Frenkel, M. (2021). Remembering materiality: A material–relational approach to organizational memory. Organization Theory, 2(3), 1-24.
Esmaili, M., Bayati, A., & Masoudi, M. (2020). Investigating the relationship between organizational memory and organizational innovation in Sepeh Bank branches. New Researches in Management and Accounting, 4(43), 101-122. (In Persian)
Faiz, D., Dehghani, M., & Farsi, H. (2017). Investigating the effect of knowledge sharing on the psychological empowerment of employees by explaining the mediating role of organizational memory and collaborative e-learning. Journal of Information Management Processing, 32(89), 731-760. (In Persian)
Gruszka, A., & Necka, E. (2017). Limitations of working memory capacity: the cognitive and social consequences. European Management Journal, 35(6), 776-784.
Haghighi, M., Dehghani, M., & Farsi, H. (2017). Clarifying the role of organizational ambivalence in influencing innovative culture and organizational memory on new product development performance. Public Management Research, 10(38), 56-69. (In Persian)
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
Hedberg, B. (1981). How organizations learn and unlearn. Handbook of organizational design (1), 3-27.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115-135.
Holsti, O. R. (1969). Content analysis for the social sciences and humanities. Reading, MA: Addison-Wesley.
Jin, J. Y., Liu, Y., & Nainar, S. K. (2022). Organizational memory and bank accounting conservatism. European Accounting Review, 31(3), 663-700.
Karimi, M., Neshat, N., & Mirhosseini, Z. (2017). Organizational memory management in Iran National Library and Records Organization. National Library Studies, 28(112), 95-112. (In Persian)
Manouchehri, S., & Kamalirad, E. (2022). The effect of organizational memory on the performance of human resources in new product development (Knowledge-based companies based in Bushehr Science and Technology Park). Journal of algebraic statistics, 13(3), 1627-1636.
Nagayoshi, S., & Nakamura, J. (2019). How does the computer-based repository augment organizational memory of the failure learning activity in the Japanese company?. Procedia Computer Science, 159, 1705-1714.
Nazarpuri, A., Mohammadyari, Z., & Biranvand, N. (2022). Investigating the effect of marketing dashboard on organizational competitiveness by explaining the mediating role of marketing memory and competitive intelligence. Modern Marketing Research, 12(1), 43-68. (In Persian)
Odeh, A. H., Ammar, A., & Tareq, A. O. (2021). The mediation role of the organizational memory in the relationship between knowledge capturing and learning organization. Cogent Business & Management, 8(1), 192-206.
Rangekesh, H., Qavami, S., Sadeghian, S., & Farjam, S. (2021). Analysis of the impact of organizational memory on the management of organizational conflicts of municipal employees. Management and Entrepreneurship Studies, 7(4), 153-170. (In Persian)
Reynoso, M. L. S., & Divan, M. (2019). Improving the Real-Time Searching in the Organizational Memory. Procedia Computer Science, 154, 293-304.
Rezaei, M., Shekari, & R., Rostami, J. (2019). Investigating the impact of talent management on organizational memory with regard to the role of knowledge transfer agent. Applied Sports Science Research, 5(14), 60-79. (In Persian)
Sefidanoski, A. (2018). Deep learning and optimization of organizational memory. SAR Journal-Science and Research, 1(3), 115-118.
Sen, C., Arun, K., & Okun, O. (2021). Organizational memory: a qualitative research study on a multi-cultural organization. Kybernetes, 14(1), 1-23.
Shafiei, M., Mohammadi, M., & Khalili, Z. (2017). The relationship between types of organizational silence and organizational memory of teachers in high schools. School Management, 5(1), 1-21. (In Persian)
Stavick, J. (2022). Organizational Memory and Snap Back Performance in Public Agencies. International journal of information management, 15(1), 17-32.
Strauss, A., & Corbin, J. (1994). Grounded theory methodology: An overview.
Tenenhaus, M., Vinzi, V. E., Chatelin, Y.M., & Lauro, C. (2005). PLS path modeling. Computational statistics & data analysis, 48(1), 159-205.
Tutian, S., Mehrara, A., & aberi, A. (2018). Investigating the impact of organizational memory on human resource agility with regard to the role of demographic variables in the field of transportation vice-chancellor of Tehran municipality. Social Sciences, 12(43), 101-132. (In Persian)
Vasileiou, K., Barnett, J., Thorpe, S., & Young, T. (2018). Characterising and justifying sample size sufficiency in interview-based studies: systematic analysis of qualitative health research over a 15-year period. BMC medical research methodology, 18(1), 1-18.
Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS quarterly, 177-195.