Examining the relationship between organizational learning styles and project performance

Wong, P S P; Cheung, S O and Fan, K L (2009) Examining the relationship between organizational learning styles and project performance. Journal of Construction Engineering and Management, 135(6), pp. 497-507. ISSN 0733-9364

Abstract

A review of literature on organizational learning suggested that organizations mainly exhibit three types of learning styles: single-loop learning (SLL), double-loop learning (DLL), and deutero learning (DeuL). SLL refers to the detection and correction of errors without adjusting one's underpinning assumptions about performance requirements. DLL refers to improvement actions which are undertaken in response to the change of one's underpinning assumptions. DeuL refers to the establishment of a system which propels continuous learning. It has been advocated that effectuating these learning styles are critical for attaining continuous project performance improvement. This paper reports a study that aimed to examine the relationship between organizational learning styles and performance improvement in construction projects. A conceptual model for the same was first developed. Data about the contracting organizations' practice of learning styles and project performance were collected through a questionnaire survey. Structural equation modeling was used to examine the significance of the relationship between organizational learning styles and project performance improvement. It was found that the attainment of project performance improvement was positively related to the practice of DLL. Further, DeuL was found essential for facilitating the practice of SLL and DLL.

Item Type: Article
Uncontrolled Keywords: construction management; information management; knowledge-based systems; organizations
Index terms: performance improvement, project performance, knowledge-based system, construction project, questionnaire, contracting organization, organizational learning, learning style, structural equation modelling, survey
Subjects: artificial intelligence, learning methods, practitioner, data collection methods, statistical analysis, project management theory and practice, professional development, production management, performance measurement
Topics: Information Management, Project Management, Research Practice, Roles and Professions, Quality Management, Digital Applications, Education
Descriptive scope: 4 PCEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here