ASPECTS OF LEARNING AND KNOWLEDGE IN CONSTRUCTION PROJECTS Patrick S.W. Fong1 ABSTRACT The construction industry is viewed globally as a project-based industry, as project personnel move from project to project upon completion. Society is also becoming knowledge-based, so that knowledge can provide firms with competitive advantage in this age of dwindling resources. As a result, two important issues arise that require our careful attention, i.e. the knowledge and learning aspects in construction projects. These issues influence the working of companies’ employees as well as the quality of service provided to clients. CEOs from 200 top international design firms and 225 top international contractors were selected for this study in June 2004 with a 15.5% response rate. The study emphasizes that project-based organizations face many difficulties in ensuring adequate learning and knowledge sharing within and across projects, as projects themselves do not share experiences with other projects routinely and naturally. Both personalization and codification knowledge-sharing mechanisms should be properly deployed to projects in order to prevent employees from reinventing the wheel and leveraging on companies’ knowledge stocks. KEY WORDS Knowledge management, knowledge sharing, learning, project-based organizations INTRODUCTION The construction industry worldwide is viewed as a project-based industry. In project-based organizations, the experience of the firm is accumulated through the execution of projects (Hobday 2000). Projects are therefore their major business endeavors and the mechanism for creating, responding to and executing new business opportunities (Hobday 2000). Each project can be treated as a “temporary organization” (Lundin and Steinthorsson 2003), which consists of a group of people with diverse skills and expertise who work collaboratively on a common task over a fixed time duration. Organizations usually draw on different personnel for each project as every project calls for different expertise. Hence, it is very likely that team members may not have worked together before and may not work together again in the future (DeFillippi and Arthur 1998). The construction industry has such a strong focus on projects that it raises questions about how project-based organizations, no matter whether professional or technical services organizations, learn and build up their knowledge assets and establish or maintain their competitive advantage. After all, these firms are selling their knowledge or services and not physical products. New interaction and synergy that takes place whenever a new project begins may create learning barriers between project team members (Prencipe and Tell 2001). 1 PhD, Department of Building & Real Estate, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong; PH +(852) 2766 5801; FAX +(852) 2764 5131; email: bspafong@polyu.edu.hk Each project is non-routine (Abbott 1988). Even though the same building design may have been used before, different ground conditions or team compositions can render it necessary to carry out the project in a totally different way. Some of the unique activities in a project may not be repeated in successive projects. Despite the non-repetitive nature of the projects, knowledge and skills from one project might be transferred or applied to solve the problems of another one if relationships between existing solutions and problems can be established between them. The study of knowledge and learning is certainly not new. The systematic study of formal knowledge and learning efforts in project-based organizations, however, is relatively new. This research examines how project-based organizations in construction can manage their knowledge resources and learn from the experiences gained by their employees. Examining this fundamental question will provide an understanding of how construction consulting or contracting firms who specialize in knowledge work make use of their prime knowledge resources to solve project task problems and gain competitive advantage despite the nonroutine and non-repetitive nature of projects. Specifically, it will reveal the roles played by organizational context, individual characteristics, processes used and technology in affecting the learning and management of knowledge resources in project-based organizations. One particular aspect that will not be addressed in this research is how knowledge sharing strategies can contribute to the competitiveness or performance of firms in international markets, as it will be extremely difficult to isolate the multitude of issues and factors involved. Knowledge can be shared among individuals by using the personalization or codification approach (Hansen et al. 1999). If knowledge is shared through a personalization strategy, it can be closely tied to the person who developed it and be shared mainly through direct person-to-person contact. If knowledge is shared though a codification means, it is carefully codified and stored in databases and tangible formats, where it can be accessed, retrieved and used by employees in the organization. This paper examines different aspects of how project-based organizations in construction manage and learn from their knowledge resources, and provides answers to the following research questions: 1. What are the knowledge-carriers in these project-based organizations? Which of the two key mechanisms, i.e., personalization and codification, is used more often to facilitate knowledge sharing? 2. What are the benefits that can be reaped from sharing knowledge and experience in projects? What incentives are used to encourage staff to share knowledge and experiences with others? 3. What are the key variables affecting learning within and across projects? MANAGING LEARNING AND KNOWLEDGE IN PROJECTS The Latham Report published in the UK (Latham 1994) reveals that construction industry practitioners believe that approaches promoting better knowledge management would help to overcome many of the constraints inherent in this sector. These approaches are expected to contribute to improved working conditions and health and safety, to provide methods and tools to improve learning from experience, to provide a better quality end-product, and to preserve the environment and natural resources. This will lead, in the long term, to the empowerment of employees by promoting organizational learning through corporate information and knowledge bases, making use of the company’s “lessons learned”. As it is a project-based industry, the management of knowledge in AEC firms revolves around projects. Thus the capture, transfer and reuse of knowledge are critical success factors for project performance. Studies on current practices suggest that managing knowledge is achieved through various means, including the reassignment of people from one project to the next, the use of standards and best practice guides, contractual arrangements (e.g. framework agreements), intranets, and specific activities such as post-project reviews (PPR) (Kamara et al. 2002a). These are embedded organizational arrangements, which are not necessarily part of a dedicated knowledge management strategy. It is not surprising therefore that they are sometimes not very effective in capturing lessons learned from project to project. For example, while PPRs can be effective in the transfer of knowledge to those involved in a project, they are not considered effective in the transfer of knowledge to nonproject participants. There is also an argument that insufficient time has been dedicated to PPRs to allow them to be conducted effectively, as those involved have been assigned to new projects before the current project is completely finished, and lessons learned in the earlier parts of the project have been forgotten. In this connection, the heavy reliance on organizational routines, and the assumption that they will transfer their learning from one project to the next, makes an organization vulnerable when there is a high staff turnover. (Kamara et al. 2002b: 63) It is observed from the discussion above that because of the absence of a proactive KM strategy within AEC firms, current practices in the management of knowledge do not adequately address the range of issues faced by the industry. People-based approaches are not robust enough to mitigate against the loss of knowledge when staff leave the organization, nor can they cope with expansion (Kamara et al. 2002b). Despite the interest and effort put into knowledge management by leading companies, the discipline is still in its infancy (Rezgui 2001). RESEARCH METHODOLOGY This research studies knowledge management and learning issues in construction organizations. In order to gain a thorough understanding of how professional and technical services organizations in construction perceive their knowledge and learning activities, a questionnaire survey is undertaken and sent out to top contracting and design firms worldwide. Respondents are chosen worldwide instead of in a single location for two reasons: to learn from practices and activities being adopted in these groups of “successful” companies that top the design or contracting league tables, and because it is believed that responses from a larger sample reaching across national borders may provide us with more significant findings. The sample was obtained from the ENR 2003 Global Construction Sourcebook, published on Jan 5, 2004. This sourcebook contains all the companies included in the lists of the Top 200 International Design Firms and the Top 225 International Contractors in 2003. As a number of companies do both design and construction work, the total number of firms included in the sourcebook is in effect 374. These firms come from a total of 39 countries. In total, 58 valid replies were received out of a total of 374 organizations. The response rate is 15.5%. Though this is lower than expected, we consumed all our resources by sending out three reminders: two by mail and one by e-mail. The low response can be attributed to: 1. people not being interested in this topic; 2. companies not wanting to reveal what they had been doing/not doing to their competitors or clients; and 3. people not participating in studies that do not add value to their businesses. Nevertheless, the research findings reveal the learning and knowledge issues within this group of project-based organizations. DATA ANALYSIS It is interesting to find that over 80% of the respondents strongly agree that knowledge resides in employees’ heads rather than in documents (see Figure 1). Individuals are effective knowledge carriers as they are able to reorganize knowledge so that it applies to new content (Allen 1977). Other knowledge-carriers nominated by participants in descending order include soft copy documents, processes, IT systems, hard copy documents, and knowledge residing in products and services. As organizations in construction have a huge number of documents for each project, it is not surprising that soft copy is considered a better knowledge carrier than hard copy: organizations are faced with enormous amounts of documents in their offices or on site. In terms of knowledge embedded in processes, it is fair to say that within project-based organizations there is knowledge embedded in projectorganizing routines and standard operating procedures that can prove to be useful in later projects. This type of organizational or project routine contains absorbed knowledge that prevents people from reinventing the wheel for each project. 100% Cumulative % 80% 60% Agree Strongly Agree 40% 20% O s ste m sy th er s . Se rv IT es od .& oc es s Pr ft so D oc .( Pr co p y) py ) co ha rd oc .( D Em pl oy ee s 0% Knowledge-Carriers Figure 1: Knowledge-carriers in project-based organizations In addition, the results show that it is perhaps more appropriate to use the personalization approach to solicit employees’ knowledge rather than codify it, as people are the best carriers of knowledge and it is almost impossible to codify employees’ knowledge into a tangible format with today’s technology. In addition, a significant component of the knowledge that organizations possess is tacit in nature and not easily articulated (Nonaka 1991). It is easier to transfer the tacit knowledge that resides within employees’ heads through tacit to tacit (socialization), tacit to explicit (externalization) (Nonaka and Takeuchi 1995) or other appropriate personalization strategies. From Figure 2, it is interesting to note that when people encounter problems in their work, besides using their own knowledge and experience, they seek help from their peers and supervisors, discuss with other project team members, and contact people in their personal networks such as friends, relatives, ex-classmates, ex-project team members or even excolleagues. Personalization allows for discussions and sharing mental models that may lead to the development of new knowledge (Prencipe and Tell 2001). With the vast amount of codified information available within or outside a firm, individuals need to have some personal contact with the authors and/or common experience to reuse what others know. After various personalization approaches are exhausted, people start to use codification techniques such as using published sources or data, searching for company databases or company publications and searching for answers from the Internet. Search internet for answers Seeking Help From Use personal network (e.g. friends, relatives, etc.) Search for information from databases/company publications Use published sources / data Agree Strongly Agree Use own knowledge and experience Discuss with project team during project meetings Seek help from supervisors Seek help from peer colleagues 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Cumulative % Figure 2: Actions people will take when they encounter a problem in their work Examining learning in construction is important because it encourages the conceptualization of facilities development not as a single project, but as a recurring process. It focuses on a long-term perspective, and encourages awareness of how prior activities lead to capability building within professional or technical services organizations. Participants were asked about what kind of benefits they can reap from applying knowledge and experience from previous to current projects, i.e. learning from previous successes as well as failures. Benefits sought include improved decision making as employees are better informed from previous projects about what outcomes were reached as a result of the actions taken (see Figure 3). Secondly, based on past decisions, people can improve the quality of the current project by knowing what products or methods used in past projects produced satisfactory results. Thirdly, it can enhance the capabilities of the project team, as team members can reach out to other projects for information before they make decisions. In addition, past projects can act as precedents for the current one. Fourthly, although there may be less scope for routinized learning in non-repetitive construction project work, people who successfully share knowledge across individuals and projects may be able to recycle their experience from past projects to similar applications (Davies and Brady 2000). In addition, common problems may also be encountered across different projects, and effective sharing of knowledge across projects can minimize the organizational costs of duplicating efforts to invent the same solutions (Goodman and Darr, 1998). Project-based organizations can therefore develop their project capabilities through sharing or transferring knowledge across projects (Morris 1994). Less disagreement Greater client satisfaction Better adaptation to client requirement Benefits Improved efficiency & productivity Enhanced project team Agree Strongly Agree Innovation Improved decision making Reduced project duration Improved quality Lower operating cots 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Cumulative % Figure 3: Benefits of applying past knowledge and experience to current projects The survey reveals that monetary incentives are the least used means to encourage knowledge and experience sharing (see Figure 4). This result suggests that using money as a reward for knowledge sharing will start to mean that price tags are put on different pieces of knowledge and it will be hard to determine what is the price for a certain piece of knowledge. The next least used means is promotion, which probably has a similar negative connotation as money. People may share knowledge in order to get promoted rather than out of their own initiative. Using knowledge sharing as a measure in performance review and peer recognition both received nearly 60% of support from respondents. As construction professionals, people will only seek knowledge or experience from reliable or trusted sources, so peer recognition is a good measure of this relationship. The most widely used means, nearly 80%, is informal encouragement. We do need lots of knowledge and expertise for each project and as a general rule, people are usually happy to share their knowledge and get the job done. Informal encouragement is probably sufficient under these circumstances. Table 1 tabulates the top five reasons nominated by respondents regarding the difficulties of learning within a project, or intra-project learning. Firstly, within a project, professionals are busy in tackling problems within the project, which leaves little time for them to learn. This situation can undermine the learning capability within a project and people can become ‘fire-fighters’ rather than having time to sit back and consider better ways of doing things. Secondly, in construction projects, project durations are usually short compared with aerospace or pharmaceutical projects, as people work on a project briefly and will be transferred to other projects before the project is fully completed. In addition, the nonrepetitive nature of projects makes routinized learning an opposing force. In project-based work, people rarely reflect on the work they do as the project is progressing along the timeline. Thirdly, having people work on individual projects reduces the probability that they will come into contact with others who may have relevant experience for them to draw upon. Without deliberate social or similar functions, or an informal network amongst employees, the availability of information about “who knows what” is reduced, and this can prevent people from locating the person with the right experience. Others Means Informal encouragement Measures in performance review Peer recognition Promotion Monetary incentives 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Figure 4: Means used by firms to encourage knowledge and experience sharing “People are not willing to share knowledge” is ranked fourth, as some people still hold the old belief that “knowledge is power”, and that hoarding knowledge will help them to keep their jobs during corporate downsizing and help to maintain their “expert” positions within the firm. From the organizational perspective, when knowledge-hoarders leave or retire from the firm, the knowledge they possess will leave with them. Table 1. Difficulties of learning within project. People are too busy to learn The lifecycle of a project is too short to enable learning to take place There is insufficient social contact for people to learn from other project participants People are not willing to share knowledge The workplace design and layout does not facilitate learning Most Important 19 7 Medium Importance 13 10 Least Important 5 3 Rank 5 5 12 3 5 3 2 3 8 3 4 5 1 2 Workplace design has recently come into recognition as an area that can act as the fourth dimension of knowledge management after people, process and technology. Partitioned office space is regarded as preventing knowledge flow in comparison with an open plan office design. In addition, office corridors, water coolers and coffee machines are often seen as places for people to gather and exchange knowledge. In terms of difficulties of learning from earlier / parallel projects or inter-project learning, participants ranked the following key factors in descending order of importance (see Table 2). Firstly, social networks can be a powerful means of storage and retrieval of the organization’s knowledge for smaller firms where employees are co-located in a few key offices (Allen 1977), but it becomes problematic in large firms such as those surveyed. A search for knowledge sources through an informal network is usually limited to coworkers in regular and routine contact with the individual and possibly possessing redundant information (Ruggles 1988). It is hard for employees within big firms to reach out to the potentially large pool of experts who may have the relevant information unless there is some sort of formal mapping of internal expertise by publishing corporate directories or having expertise locators that list the expertise and experience of individuals (Ruggles 1998). Secondly, because of the onerous nature of construction projects, people consider knowledge from one project to be too context-specific to be of use for other projects. This may be true in some circumstances, but in other situations knowledge can be assimilated to similar occasions where the principle of engineering can be applied. It is up to individuals to grasp existing knowledge and apply it in new situations to become new knowledge. Thirdly, due to the large sizes of the surveyed organizations, respondents also find it hard to get to know about other projects within the firm. This may be due to the fact that considerable effort needs to be made to keep the project list up-to-date, or that the information is available only to employees of a certain rank, which are usually senior employees. Even when project information is made available, it may not be thorough enough for the employee to know whether those projects are related to the current one. Some large organizations have put project information on their intranet and allow employees to search through projects using keywords or other methods of categorization. Fourthly, it is true that knowledge repositories and databases have gained popularity as a way to codify, store, share, search for and retrieve different kinds of knowledge through computer-based information technology (Olivera 2000). The old-day scenario of storing knowledge through paper copies is fading away as computer technologies have a high storage capability and efficient search facility, occupy less space and can be accessed anytime and anywhere through intranet technology. If the project database becomes like an individual silo that only approved personnel can access, people from other projects will not know what lessons other people are going through in this project, and therefore will be unable to reuse the project document templates and artifacts produced for prior engagements in a new engagement. If a projectbased organization can achieve the reuse of its knowledge assets, it can build upon previous experience and invest in making improvements to existing knowledge stocks instead of wasting effort on reinventing the wheel. Table 2: Difficulties of learning from earlier / parallel projects. There is insufficient social contact for people to learn from others Knowledge in a project is too context-specific to be applied in other projects There is little knowledge of other projects within the firm There are insufficient technologies to enable knowledge to be transferred from one project to another Design solutions, skills and technical knowledge learned become obsolete very fast Most Important 9 Medium Importance 10 Least Important 2 Rank 9 5 11 2 8 6 7 3 8 7 4 4 4 8 3 5 1 The fifth reason nominated for the difficulties of learning across projects is that the design solutions, skills and technical knowledge learned become obsolete very fast, which renders inter-project learning ineffective. This is true in some sense but may not be in its entirety as construction is different from the IT or computing industries where new technologies or products are delivered to the market everyday. The innovation cycle in construction usually takes longer. In terms of product delivery, knowledge of existing as well as new products is important as not every designer jumps on the bandwagon of new products: people are concerned about the performance of new products and whether they can meet the owners’ needs. CONCLUSIONS This study examines how project-based organizations in construction manage their knowledge resources and build up their capabilities. For these organizations, employees’ knowledge is an essential resource and a primary source of competitive advantage. In fact, it is the employees themselves who are the major knowledge carriers. A key finding in this study is that personalization approaches are used extensively in our industry for knowledge sharing when problems are encountered. People also see the benefits of knowledge and experience sharing, as it can prevent employees from reinventing the wheel and leveraging on their companies’ knowledge assets. Unlike other industries, where money can be an incentive for encouraging knowledge sharing, professionals in this industry value recognition from their peers as well as informal encouragement from their superiors. Various difficulties are identified as impediments to learning within and across projects, but none of them seem to be non-rectifiable. Given the poor image of the construction industry in terms of its poor learning culture and repeated mistakes, it is important for construction organizations to adopt a long-term perspective in learning from their experience and ensuring knowledge sharing amongst employees. ACKNOWLEDGMENT The author would like to thank the Hong Kong Polytechnic University for its funding of research project G-T745. REFERENCES Abbott, A.D. (1988). The System of Professions: An Essay on the Division of Expert Labor. Chicago, IL: University of Chicago Press. Allen, T.J. (1977). Managing the Flow of Technology: Technology Transfer and the Dissemination of Technological Information within the R&D Organization. Cambridge, MA: MIT Press. Davies, A. and Brady, T. (2000). “Organisational Capabilities and Learning in Complex Product Systems: Towards Repeatable Solutions.” Research Policy, 29 (7) 931-953. DeFillippi, R. and Arthur, M. (1998). “Paradox in Project-based Enterprise: The case of Film Making.” California Management Review, 40 (2) 125-139. Goodman, P.S. and Darr, E.D. (1998). “Computer-aided Systems and Communities: Mechanisms for Organizational Learning in Distributed Environments.” MIS Quarterly, 22 (4) 417-440. Hansen, M.T., Nohria, N. and Tierney, T. (1999). “What’s your Strategy for Managing Knowledge?” Harvard Business Review, 77 (2) 106-116. Hobday, M. (2000). The Project-based Organization: An Ideal Form for Managing Complex Products and Systems?” Research Policy, 29 (7) 871-893. Kamara, J.M., Anumba, C.J. and Evbuomwan, N.F.O. (2002a). Capturing Client Requirements in Construction Projects. London: Thomas Telford. Kamara, J.M., Augenbroe, G., Anumba, C.J. and Carrillo, P.M. (2002b). “Knowledge Management in the Architecture, Engineering and Construction Industry.” Construction Innovation, 2 (1) 53-67. Latham, M. (1994). Constructing the Team: Final Report, July 1994: Joint Review of Procurement and Contractual Arrangements in the United Kingdom Construction Industry. London: HMSO. Lundin, R.A. and Steinthórsson, R.S. (2003). “Studying Organizations as Temporary.” Scandinavian Journal of Management, 19 (2) 233-250. Morris, P.W.G. (1994). The Management of Projects. London: Thomas Telford. Nonaka, I. (1991). “The Knowledge-creating Company.” Harvard Business Review, 69 (6) 96-104. Nonaka, I. and Takeuchi, H. (1995). The Knowledge-creating Company: How Japanese Companies Create the Dynamics of Innovation. New York: Oxford University Press. Olivera, F. (2000). “Memory Systems in Organizations: An Empirical Investigation of Mechanisms for Knowledge Collection, Storage and Access.” Journal of Management Studies, 37 (6) 811-832. Prencipe, A. and Tell, F. (2001). “Inter-project Learning: Processes and Outcomes of Knowledge Codification in Project-based Firms.” Research Policy, 30 (9) 1373-1394. Rezgui, Y. (2001). “Review of Information and the State of the Art of Knowledge Management Practices in the Construction Industry.” The Knowledge Engineering Review, 16 (3) 241-254. Ruggles, R. (1998). “The State of the Notion: Knowledge Management in Practice.” California Management Review, 40 (3) 80-89.