The Relationship of Knowledge Codification towards Organizational Performance in Indonesian Construction Industry

Theresa Lalita Handaruputri, Budi Hartono

Abstract


The construction industry, as one of the project-based industries, is still considered as a one-off. Knowledge is often not codified and gone in the next project. Project complexity also brings a more significant challenge to the successful performance of the construction industry. This study examined how codification might affect organizational performance in the construction industry and how project complexity affects their relationship. Findings from 54 construction firms in Indonesia indicated that, as separate independent variables, codification and project complexity brought a positive influence on organizational performance. However, as a moderator variable, project complexity may bring a negative impact on the relationship between codification and organizational performance. There were two clusters formed from cluster analysis, which indicated respondents’ different levels of codification implementation.

Full Text:

PDF

References


Addis, M. (2016). Tacit and explicit knowledge in construction management. Construction management and economics, 34(7-8), 439-445. doi: 10.1080/01446193.2016.1180416 Artusi, R., Verderio, P., & Marubini, E. (2002). Bravais-Pearson and Spearman correlation coefficients: meaning, test of hypothesis and confidence interval. The International journal of biological markers, 17(2), 148-151. doi:10.1177/172460080201700213 Baccarini, D. (1996). The concept of project complexity—a review. International journal of project management, 14(4), 201-204. doi:10.1016/0263-7863(95)00093-3 Bakri, A. S., M. J. B. Ingirige, and R. D. G. Amaratunga. (2010). Key issues for implementing knowledge management in relational contracting project settings [Conference item]. University of Salford. http://usir.salford.ac.uk/id/eprint/9766 Blayse, A. M., & Manley, K. (2004). Key influences on construction innovation. Construction innovation, 4(3), 143-154. doi:10.1191/1471417504ci073oa Carrillo, P. M., Anumba, C. J., & Kamara, J. M. (2000). Knowledge management strategy for construction: key IT and contextual issues. Proceedings of CIT, 2000, 28-30. Chai, K. H., & Nebus, J. (2011). Personalization or codification? A marketing perspective to optimize knowledge reuse efficiency. IEEE Transactions on engineering management, 59(1), 33-51. doi:10.1109/TEM.2010.2058855 Chen, Y. (2016). Spatial autocorrelation approaches to testing residuals from least squares regression. PloS one, 11(1). doi:10.1371/journal.pone.0146865 Cohendet, P., & Edward Steinmueller, W. (2000). The codification of knowledge: a conceptual and empirical exploration. Industrial and corporate change, 9(2), 195209. doi: 10.1093/icc/9.2.195 Cowan, R., & Foray, D. (1997). The economics of codification and the diffusion of knowledge. Industrial and corporate change, 6(3), 595-622. doi:10.1093/icc/6.3.595

Crawford, L., & Pollack, J. (2004). Hard and soft projects: a framework for analysis. International Journal of Project Management, 22(8), 645-653. doi: /10.1016/j.ijproman.2004.04.004 Dubois, A., & Gadde, L. E. (2002). The construction industry as a loosely coupled system: implications for productivity and innovation. Construction management & economics, 20(7), 621-631. doi:10.1080/01446190210163543 Durbin, J., & Watson, G. S. (1950). Testing for serial correlation in least squares regression: I. Biometrika, 37(3/4), 409-428. doi:10.2307/2332391 Hair, H., Black, W., Babin, B., and Anderson, R. (2010). Multivariate Data Analysis, Upper Saddle River, NJ: Prentice Hall. Hansen, M. T., Nohria, N., & Tierney, T. (1999). What’s your strategy for managing knowledge. The knowledge management yearbook 2000–2001, 77(2), 106-116. Hari, S., Egbu, C., & Kumar, B. (2005). A knowledge capture awareness tool. Engineering, Construction and Architectural Management, 12(6), 533 - 567. doi: 10.1108/09699980510634128 Harris, R. (1985). A Primer of Multivariate Statistics, 2nd ed., New York, NY: Psychology Press. Hartono, B., Sulistyo, S. R., Chai, K. H., & Indarti, N. (2019). Knowledge Management Maturity and Performance in a Project Environment: Moderating Roles of Firm Size and Project Complexity. Journal of Management in Engineering, 35(6). Im, K. S. (2000). Robustifying Glejser test of heteroskedasticity. Journal of Econometrics, 97(1), 179-188. doi:10.1016/S0304-4076(99)00061-5 Janicot, C., & Mignon, S. (2012). Knowledge codification in audit and consulting firms: a conceptual and empirical approach. Knowledge Management Research & Practice, 10(1), 4-15. doi:10.1057/kmrp.2011.38 Kochikar, V. P. (2000). The knowledge management maturity model: a staged framework for leveraging knowledge. Proceedings of KM World. Miftahudin, H. (2019, July 19). Ekonomi Indonesia 2018 Tumbuh 5,17%. Medcom. https://www.medcom.id/ekonomi/makro/5b2qDLnN-ekonomi-indonesia-2018tumbuh-5-17. Newell, S., & Edelman, L. F. (2008). Developing a dynamic project learning and crossproject learning capability: synthesizing two perspectives. Information Systems Journal, 18(6), 567-591. doi: 10.1111/j.1365-2575.2007.00242.x Nirwana, R. F. (2016). Knowledge Management Maturity and Organizational Performance of Indonesia’s Construction Firms [Undergraduate Thesis, Universitas Gadjah Mada]. Universitas Gadjah Mada Electronic Theses & Dissertasions Repository. http://etd.repository.ugm.ac.id/home/detail_pencarian/100093 Peat, J., & Barton, B. (2008). Medical statistics: A guide to data analysis and critical appraisal. John Wiley & Sons. Pee, L. G., & Kankanhalli, A. (2009). A model of organisational knowledge management maturity based on people, process, and technology. Journal of Information & Knowledge Management, 8(02), 79-99. doi: 10.1142/S0219649209002270 Prencipe, A., & Tell, F. (2001). Inter-project learning: processes and outcomes of knowledge codification in project-based firms. Research policy, 30(9), 1373-1394. doi:10.1016/S0048-7333(01)00157-3 Project Management Institute (2013). A Guide to the Project Management Body of Knowledge (PMBOK Guide) – Fifth Edition. Project Management Institute. Ragab, M. A., & Arisha, A. (2013). Knowledge management and measurement: a critical review. Journal of knowledge management, 17(6), 873-901. doi:10.1108/JKM-122012-0381

Septiadi, A. (2017, July 22). Pasar jasa konstruksi Indonesia terbesar di ASEAN. KONTAN. https://industri.kontan.co.id/news/pasar-jasa-konstruksi-indonesiaterbesar-di-asean Singh, H., & Zollo, M. (1998). The impact of knowledge codification, experience trajectories and integration strategies on the performance of corporate acquisitions [Working Paper]. The Warton School, University of Pennsylvania. http://flora.insead.edu/fichiersti_wp/inseadwp1998/98-62.pdf Turner, J. R., & Cochrane, R. A. (1993). Goals-and-methods matrix: coping with projects with ill-defined goals and/or methods of achieving them. International Journal of project management, 11(2), 93-102. doi: 10.1016/0263-7863(93)90017-H Williams, T. M. (1997). The need for new paradigms for complex projects. In Managing and Modelling Complex Projects (pp. 9-18). Springer, Dordrecht. doi:10.1007/97894-009-0061-5_3




DOI: https://doi.org/10.32535/jicp.v2i4.801

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Theresa Lalita Handaruputri, Budi Hartono

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Published by :

AIBPM Publisher

Editorial Office:

Indonesia
Association of International Business and Professional Management (AIBPM) JL. Kahuripan No. 9 Hotel Sahid Montana, Malang, Indonesia
Phone:
 +62 341 366222
Email: aibpm.publisher@gmail.com

Website: http://www.aibpmpublisher.org

Kuwait 

Kuwait University
Prof Majdi Anwar Quatinah (Advisor)
Jamal Abdul Nasser St, Kuwait

ISSN 2622-0989 (Print)
ISSN: 2621-993X  (Online)

INDEXED:

 

INDEX ON PROCESS: