How project knowledge management develops volatile organizational memory

Authors

DOI:

https://doi.org/10.1108/INMR-11-2022-0144

Keywords:

Project knowledge management, Enabling conditions, Organizational learning, Organizational memory, Intuitive knowledge, Volatile memory

Abstract

Purpose

This paper discusses the effects of enabling conditions of project knowledge management in building volatile organizational memory. The theoretical rationale underlies a recursive relationship among enabling conditions of project knowledge management, organizational learning and memory.

Design/methodology/approach

This research employs a qualitative descriptive single case study approach to examine a mobile application development project undertaken by a major software company in Brazil. The analysis focuses on the project execution using an abductive analytical framework. The study data were collected through in-depth interviews and company documents.

Findings

Based on the research findings, the factors that facilitate behavior and strategy in managing project knowledge pose a challenge when it comes to fostering organizational learning. While both these factors play a role in organizational learning, the exchange of information from previous experience could be strengthened, and the feedback from the learning process could be improved. These shortcomings arise from emotional tensions that stem from power struggles within knowledge hierarchies.

Practical implications

Based on the research, it is recommended that project-structured organizations should prioritize an individual’s professional experience to promote organizational learning. Organizations with well-defined connections between their projects and strategies can better establish interconnections among knowledge creation, sharing and coding.

Originality/value

The primary contribution is to provide a comprehensive view that incorporates the conditions required to manage project knowledge, organizational learning and memory. The findings lead to four propositions that relate to volatile memory, intuitive knowledge, learning and knowledge encoding.

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References

Ali, I., Musawir, A. U., & Ali, M. (2018). Impact of knowledge sharing and absorptive capacity on project performance: The moderating role of social processes. Journal of Knowledge Management, 22(2), 453–477. doi: 10.1108/JKM-10-2016-0449.

AlShawabkeh, R., Abu Rumman, A., Al-Abbadi, L., & Abu-Rumman, A. (2020). The intervening role of ambidexterity in the knowledge management project success connection. Problems and Perspectives in Management, 18(3), 56–66. doi: 10.21511/ppm.18(3).2020.05.

Antunes, H. D. J. G., & Pinheiro, P. G. (2020). Linking knowledge management, organizational learning, and memory. Journal of Innovation and Knowledge, 5(2), 140–149. doi: 10.1016/j.jik.2019.04.002.

Associação Brasileira das Empresas de Software (2022). Brazilian software market scenario and trends. São Paulo: ABES – Associação Brasileira das Empresas de Software.

Barbosa, L. C. M., Carvalho, R. B., Choo, C. W., Versiani, Â. F., & Pedron, C. D. (2022). Corporate memory dynamics in project-based organizations (PBOs): Multiple case study in Brazilian engineering design firms and a framework proposal. The Learning Organization, 29(4), 297–316. doi: 10.1108/TLO-12-2020-0226.

Basten, D., & Haamann, T. (2018). Approaches for organizational learning: A literature review. SAGE Open, 8(3), 215824401879422. doi: 10.1177/2158244018794224.

Basten, D., Schneider, L., & Pankratz, O. (2017). Codification, personalization, or in between? Exploring knowledge characteristics to guide knowledge management system design. Journal of Information & Knowledge Management, 16(04), 1750037. doi: 10.1142/S021964921750037X.

Beste, T. (2021). Knowledge transfer in a project-based organization through microlearning on cost-efficiency. Journal of Applied Behavioral Science, 59(2), 288–313. doi: 10.1177/00218863211033096.

Bjorvatn, T., & Wald, A. (2020). The impact of time pressure on knowledge transfer effectiveness in teams: Trust as a critical but fragile mediator. Journal of Knowledge Management, 24(10), 2357–2372. doi: 10.1108/JKM-05-2020-0379.

Blaikie, N. (2007). Approaches to social enquiry: Advancing knowledge. Polity. 978-0-745-63449-4.

Bootz, J. P., Durance, P., & Monti, R. (2019). Foresight and knowledge management. new developments in theory and practice. Technological Forecasting and Social Change, 140(December 2018), 80–83. doi: 10.1016/j.techfore.2018.12.017.

Bullini Orlandi, L., & Pierce, P. (2020). Analysis or intuition? Reframing the decision-making styles debate in technological settings. Management Decision, 58(1), 129–145. doi: 10.1108/MD-10-2017-1030.

Canonico, P., de Nito, E., Esposito, V., Pezzillo Iacono, M., & Consiglio, S. (2020). Knowledge creation in the automotive industry: Analyzing obeya-oriented practices using the SECI model. Journal of Business Research, 112(June), 450–457. doi: 10.1016/j.jbusres.2019.11.047.

Crossan, M. M., Lane, H. W., & White, R. E. (1999). An organizational learning framework: From intuition to institution. Source: The Academy of Management Review, 24(3), 522. doi: 10.2307/259140.

Dreyer, H., Bown, G. R., & Wynn, M. G. (2020). Expert group knowledge triggers: When knowledge surfaces. International Journal of Knowledge Management, 16(2), 1–17. doi: 10.4018/ijkm.2020040101.

Furlan, A., Galeazzo, A., & Paggiaro, A. (2019). Organizational and perceived learning in the workplace: A multilevel perspective on employees' problem-solving. Organization Science, 30(2), 280–297. doi: 10.1287/orsc.2018.1274.

Gomes, F., Oliveira, M., & Chaves, M. S. (2018). An analysis of the relationship between knowledge sharing and the project management process groups. Knowledge and Process Management, 25(3), 168–179. doi: 10.1002/kpm.1578.

Heaton, K. M., Skok, W., & Kovela, S. (2016). Learning lessons from software implementation projects: An exploratory study. Knowledge and Process Management, 23(4), 293–306. doi: 10.1002/kpm.1525https://doi.org/10.1080/17509653.2018.1483780.

Karagoz, Y., Whiteside, N., & Korthaus, A. (2020). Context matters: Enablers and barriers to knowledge sharing in Australian public sector ICT projects. Journal of Knowledge Management, 24(8), 1921–1941. doi: 10.1108/JKM-12-2019-0691.

Koskinen, K. U. (2010). Recursive view of the project-based companies' knowledge production. Journal of Knowledge Management, 14(2), 258–268. doi: 10.1108/13673271011032391.

Latif, K. F., Afzal, O., Saqib, A., Sahibzada, U. F., & Alam, W. (2021). Direct and configurational paths of knowledge-oriented leadership, entrepreneurial orientation, and knowledge management processes to project success. Journal of Intellectual Capital, 22(1), 149–170. doi: 10.1108/JIC-09-2019-0228.

Li, M., Liu, H., & Zhou, J. (2018). G-SECI model-based knowledge creation for CoPS innovation: The role of grey knowledge. Journal of Knowledge Management, 22(4), 887–911. doi: 10.1108/JKM-10-2016-0458.

Locke, K., Feldman, M., & Golden-Biddle, K. (2022). Coding practices and iterativity: Beyond templates for analyzing qualitative data. Organizational Research Methods, 25(2), 262–284. doi: 10.1177/1094428120948600.

McClory, S., Read, M., & Labib, A. (2017). Conceptualising the lessons-learned process in project management: Towards a triple-loop learning framework. International Journal of Project Management, 35(7), 1322–1335. doi: 10.1016/j.ijproman.2017.05.006.

Mitchell, J. R., Friga, P. N., & Mitchell, R. K. (2005). Untangling the intuition mess: Intuition as a construct. Entrepreneurship: Theory & Practice, 29(6), 653–680. doi: 10.1111/j.1540-6520.2005.00102.x.

Moraes, A. T. D., Silva, L. F. D., & Oliveira, P. S. G. D. (2020). Systematization of absorptive capacity microprocesses for knowledge identification in project management. Journal of Knowledge Management, 24(9), 2195–2216. doi: 10.1108/JKM-05-2020-0332.

Moutinho, J. D. A., & Silva, L. F. D. (2021). Knowledge management in project management: Mapping bibliographic convergence. Knowledge Management Research and Practice, 00(00), 1–13. doi: 10.1080/14778238.2021.1931502.

Nadae, J. D., & Monteiro de Carvalho, M. (2017). A knowledge management perspective of the project management office. Brazilian Journal of Operations & Production Management, 14(3), 350–362. doi: 10.14488/bjopm.2017.v14.n3.a8.

Ni, G., Cui, Q., Sang, L., Wang, W., & Xia, D. (2018). Knowledge-sharing culture, project-team interaction, and knowledge-sharing performance among project members. Journal of Management in Engineering, 34(2), 04017065. doi: 10.1061/(asce)me.1943-5479.0000590.

Nonaka, I., & Konno, N. (1998). The concept of ‘Ba’: Building a foundation for knowledge creation. California Management Review, 40(3), 40–54. doi: 10.1016/j.otsr.2010.03.008.

Oh, S. Y. (2019). Effects of organizational learning on performance: The moderating roles of trust in leaders and organizational justice. Journal of Knowledge Management, 23(2), 313–331. doi: 10.1108/JKM-02-2018-0087.

Oufkir, L., & Kassou, I. (2019). Performance measurement for knowledge management project: Model development and empirical validation. Journal of Knowledge Management, 23(7), 1403–1428. doi: 10.1108/JKM-08-2018-0497.

Pellegrini, M. M., Ciampi, F., Marzi, G., & Orlando, B. (2020). The relationship between knowledge management and leadership: Mapping the field and providing future research avenues. Journal of Knowledge Management, 24(6), 1445–1492. doi: 10.1108/JKM-01-2020-0034.

Perry, C. (1998). Processes of a case study methodology for postgraduate research in marketing. European Journal of Marketing, 32(9/10), 785–802. doi: 10.1108/03090569810232237.

Pozzebon, M. (2018). From aseptic distance to passionate engagement: Reflections about the place and value of participatory inquiry. RAUSP Management Journal, 53(2), 280–284. doi: 10.1016/j.rauspm.2018.02.002.

Pozzebon, M., & Petrini, C. M. (2013). Critérios para condução e avaliação de pesquisas qualitativas de natureza crítico-interpretativa. In W. R. A. R. (O.) Takahashi (Ed.), Pesquisa qualitativa em administração: fundamentos, métodos e usos no Brasil (pp. 51–73). Atlas: São Paulo.

Raidl, M.-H., & Lubart, T. I. (2000). An empirical study of intuition and creativity. Cognition and Personality, 20(3), 217–230. doi: 10.2190/34qq-ex6n-tf8v-7u3n.

Ren, X., Deng, X., & Liang, L. (2018). Knowledge transfer between projects within project-based organizations: The project nature perspective. Journal of Knowledge Management, 22(5), 1082–1103. doi: 10.1108/JKM-05-2017-0184.

Sujatha, R., & Krishnaveni, R. (2018). Knowledge creating Ba as a determinant of work performance of employees: An empirical analysis among pump manufacturing firms in South India. Asia Pacific Management Review, 23(1), 45–52. doi: 10.1016/j.apmrv.2017.01.006.

Tizkar Sadabadi, A., & Abdul Manaf, A. (2018). IKML approach to integrating knowledge management and learning for software project management. Knowledge Management Research and Practice, 16(3), 343–355. doi: 10.1080/14778238.2018.1474165.

Wiewiora, A., Chang, A., & Smidt, M. (2020). Individual, project and organizational learning flows within a global project-based organization: Exploring what, how, and who. International Journal of Project Management, 38(4), 201–214. doi: 10.1016/j.ijproman.2020.03.005.

Zia, N. U. (2020). Knowledge-oriented leadership, knowledge management and innovation performance in project-based SMEs. The moderating role of goal orientations. Journal of Knowledge Management, 24(8), 1819–1839. doi: 10.1108/JKM-02-2020-0127.

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Published

2024-10-15

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How to Cite

How project knowledge management develops volatile organizational memory. (2024). INMR - Innovation & Management Review, 21(3). https://doi.org/10.1108/INMR-11-2022-0144