Environmental Factors of Knowledge Management Model for Implementation and Adoptation in the Construction Industry

Katun M. Idris, Kolawole A. Richard, Abdullahi Y. Waziri

Abstract


This paper presents a knowledge management (KM) environmental factor model that encompasses a set of the hypothesized model for KM environmental factor and measurement models for adaptation and application. Two hundred and fourty five questionnaire surveys were administered for the research. The hypothesized model of KM environmental factor was tested using structural equation modeling approach with a proposed model developed. Five constructs of KM environmental factors were considered and analyzed; culture, strategy, organization information, management leadership, and rules/regulation with their reliability and Cronbach’s Alpha coefficient of 0.82, 0.919, 0.85, 0.79, and 0.86 respectively. Similarly, all fit indices and factor loadings were significant leading to a prudent model attainment. The study offers a foundation for understanding some modest predisposition of the industry as it enters KM. Construction industry and researchers can adopt the model to serve as a guide for adoption and implementation.


Full Text:

PDF

References


Ahern, T., Leavy, B., & Byrne, P. (2014). Knowledge formation and learning in the management of projects: A problem solving perspective. International Journal of Project Management. http://dx.doi.org/10.1016/j.ijproman.2013.06.007

Al-Gahtani, K., & Ghani, S. R. (2010). Knowledge management tools: adaption in construction management practices. Proceedings of the 2010 Engineering Systems Management and Its Applications (ICESMA), 2010 Second International Conference on: IEEE, 1-6.

Alekseev, A. (2010). Knowledge Management in Project-Based Organisations: The Success Criteria and Best Practises.

Amini, B., Ibrahim, R., Othman, M. S., & Selamat, A. (2014). Capturing scholar's knowledge from heterogeneous resources for profiling in recommender systems. Expert Systems with Applications, 41(17), 7945-7957 http://dx.doi.org/10.1016/j.eswa.2014.06.039

An, M., & Ahmad, H. S. (2010). Knowledge Management in Construction Projects: A Way Forward in Dealing with Tacit Knowledge. International Journal of Information Technology Project Management (IJITPM), 1(2), 16-42. http://dx.doi.org/10.4018/jitpm.2010040102

Andrew, M. (2013). Introduction to Statistics and SPSS in Psychology. Pearson Education.

Arbuckle, J. (2007). AmosTM 16 user’s guide. Chicago: SPSS.

Blackler, F. (2002). Knowledge, knowledge work and organizations. The strategic management of intellectual capital and organizational knowledge. 47-64.

Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological Methods & Research, 17(3), 303-316. http://dx.doi.org/10.1177/0049124189017003004

Bosch-Sijtsema, P. M., & Henriksson, L.-H. (2014). Managing projects with distributed and embedded knowledge through interactions. International Journal of Project Management. http://dx.doi.org/10.1016/j.ijproman.2014.02.005

Browne, M. W., Cudeck, R., & Bollen, K. A. (1993). Alternative ways of assessing model fit. Sage Focus Editions, 154, 136-136.

Byrne, B. M. (2013a). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Routledge.

Byrne, B. M. (2013b). Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Psychology Press.

Chen, Z., & Xu, X. (2010). Study on Construction of Knowledge Management System Based on Enhancing Core Competence of Industrial Clusters. International Journal of Business and Management, 5(3), 217.

Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Routledge Academic.

Davčik, N. S. (2013). The Use and Misuse of Structural Equation Modeling In Management Research. Working Paper–Working Paper–13/07 Instituti Universitario de Lisboa.

Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2013). An introduction to latent variable growth curve modeling: Concepts, issues, and application. Routledge Academic.

Egbu, C. O. (2004). Managing knowledge and intellectual capital for improved organizational innovations in the construction industry: an examination of critical success factors. Engineering, Construction and Architectural Management, 11(5), 301-315 http://dx.doi.org/10.1108/09699980410558494

Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.

Gelman, A., & Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. Cambridge University Press. http://dx.doi.org/10.1017/cbo9780511790942

Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). The use of partial least squares structural equation modeling in strategic management research: A review of past practices and recommendations for future applications. Long Range Planning, 45(5), 320-340. http://dx.doi.org/10.1016/j.lrp.2012.09.008

Håkansson, H., & Waluszewski, A. (2014). Knowledge and innovation in business and industry: The importance of using others. Routledge.

Hartnell, C. A., Ou, A. Y., & Kinicki, A. (2011). Organizational culture and organizational effectiveness: a meta-analytic investigation of the competing values framework's theoretical suppositions. Journal of Applied Psychology, 96(4), 677. http://dx.doi.org/10.1037/a0021987

Hayton, J., & Cacciotti, G. (2014). 8 culture and entrepreneurship: empirical evidence for direct and indirect effects. Handbook of Research On Entrepreneurship: What We Know and What We Need to Know. 147.

Hipp, J. R., & Bollen, K. A. (2003). Model fit in structural equation models with censored, ordinal, and dichotomous variables: Testing vanishing tetrads. Sociological Methodology. 33(1), 267-305. http://dx.doi.org/10.1111/j.0081-1750.2003.00133.x

Hislop, D. (2013). Knowledge management in organizations: A critical introduction. Oxford University Press.

Hsu, I. C. (2008). Knowledge sharing practices as a facilitating factor for improving organizational performance through human capital: A preliminary test. Expert Systems with Applications, 35(3), 1316-1326. http://dx.doi.org/10.1016/j.eswa.2007.08.012

Huber, G. P. (2001). Transfer of knowledge in knowledge management systems: unexplored issues and suggested studies. European Journal of Information Systems, 10(2), 72-79. http://dx.doi.org/10.1057/palgrave.ejis.3000399

Ibrahim, R., & Paulson, B. C. (2008). Discontinuity in organisations: identifying business environments affecting efficiency of knowledge flows in Product Lifecycle Management. International Journal of Product Lifecycle Management, 3(1), 21-36. http://dx.doi.org/10.1504/IJPLM.2008.019972

Jain, A. K., Moreno, A., Tuggle, F., & Ribiere, V. (2015). Organizational learning, knowledge management practices and firm´ s performance: an empirical study of a heavy engineering firm in India. The Learning Organization, 22(1). http://dx.doi.org/10.1108/TLO-05-2013-0024

Jiacheng, W., Lu, L., & Francesco, C. A. (2010). A cognitive model of intra-organizational knowledge-sharing motivations in the view of cross-culture. International Journal of Information Management, 30(3), 220-230. http://dx.doi.org/10.1016/j.ijinfomgt.2009.08.007

Kalling, T. (2003). Knowledge management and the occasional links with performance. Journal of knowledge management, 7(3), 67-81. http://dx.doi.org/10.1108/13673270310485631

Kazi, A. S. (2005). Knowledge management in the construction industry: A socio-technical perspective. IGI Global. http://dx.doi.org/10.4018/978-1-59140-360-9

Kenny, D. A. (2011). Measuring model fit. Retrieved November. 29, 2011.

King, W. R., Chung, T. R., & Haney, M. H. (2008). Knowledge management and organizational learning. Omega, 36(2), 167-172. http://dx.doi.org/10.1016/j.omega.2006.07.004

Nonaka, I., Toyama, R., & Konno, N. (2005). SECI, ba and leadership: a unified model of dynamic knowledge creation. Knowledge Management: Critical Perspectives on Business and Management, 2, 317.

Pearl, J. (2012). The causal foundations of structural equation modeling. DTIC Document.

Pemsel, S., & Müller, R. (2012). The governance of knowledge in project-based organizations. International Journal of Project Management, 30(8), 865-876. http://dx.doi.org/10.1016/j.ijproman.2012.02.002

Pollack, J. (2012). Transferring knowledge about knowledge management: Implementation of a complex organisational change programme. International Journal of Project Management, 30(8), 877-886. http://dx.doi.org/10.1016/j.ijproman.2012.04.001

Raedeke, T. D., Arce, C., De Francisco, C., Seoane, G., & Ferraces, M. J. (2013). The Construct Validity of the Spanish Version of the ABQ Using a Multi-Trait/Multi-Method Approach. anales de psicología, 29(3), 693-700. http://dx.doi.org/10.6018/analesps.29.3.175831

Rai, R. K. (2011). Knowledge management and organizational culture: A theoretical integrative framework. Journal of Knowledge Management, 15(5), 779-801. http://dx.doi.org/10.1108/13673271111174320

Reich, B. H., Gemino, A., & Sauer, C. (2012). Knowledge management and project-based knowledge in it projects: A model and preliminary empirical results. International Journal of Project Management, 30(6), 663-674. http://dx.doi.org/10.1016/j.ijproman.2011.12.003

Rikowski, R. (2007). Knowledge management: Social, cultural and theoretical perspectives. Elsevier. http://dx.doi.org/10.1533/9781780631981

Rowley, J. E. (2008). Organizing knowledge: an introduction to managing access to information. Ashgate Publishing, Ltd.

Saeed, T., Tayyab, B., Anis-Ul-Haque, M., Ahmad, H. M., & Chaudhry, A. U. (2010). Knowledge management practices: Role of organizational culture. Proceedings of ASBBS, 17(1), 1027-1036.

Stevens, J. P. (2012). Applied multivariate statistics for the social sciences. Routledge.

Surakratanasakul, B., & Hamamoto, K. (2014). Conjugate of knowledge items between abstract and organization knowledge models. Proceedings of the 2014 Digital Information and Communication Technology and it's Applications (DICTAP), 2014 Fourth International Conference on: IEEE, 231-236. http://dx.doi.org/10.1109/DICTAP.2014.6821687

Teo, T. (2010). Structural equation modelling: A primer for music education researchers. Music Education Research, 12(1), 105-118. http://dx.doi.org/10.1080/14613800903568270

Tong, C., Tak, W. I. W., & Wong, A. (2015). The impact of knowledge sharing on the relationship between organizational culture and job satisfaction: the perception of information communication and technology (ICT) practitioners in Hong Kong. International Journal of Human Resource Studies, 5(1), 19-47. http://dx.doi.org/10.5296/ijhrs.v5i1.6895

Valmohammadi, C., Ahmadi, M., Irani, Z., & Irani, Z. (2015). The impact of knowledge management practices on organizational performance: A balanced scorecard approach. Journal of Enterprise Information Management, 28(1). http://dx.doi.org/10.1108/JEIM-09-2013-0066

Weaver, B., & Maxwell, H. (2014). Exploratory factor analysis and reliability analysis with missing data: A simple method for SPSS users. The Quantitative Methods for Psychology, 10(2), 143-152.

Zainudin, A. (2014). A Handbook on SEM for Academicians and Practitioners. MPWS Training Center, Bander Baru Bangi, Selangor: MPWS Rich Resources.




DOI: https://doi.org/10.5296/jsss.v3i1.8509

Refbacks

  • There are currently no refbacks.


Journal of Social Science Studies ISSN 2329-9150

Copyright © Macrothink Institute

To make sure that you can receive messages from us, please add the 'macrothink.org' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.