Linking Data to Proposition
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knowledge. Hence, sub-RQ 1- “What are techniques to formalize mechanicalelectrical knowledge of design requirements during conceptual
design phase of building projects?”- must first be addressed. Then, using the
appropriate knowledge capture technique, this study would capture the required mechanicalelectrical knowledge during conceptual design phase of the ITMA
project. By specifying the required mechanicalelectrical knowledge during conceptual design phase, sub-RQ2 is answered.
Moreover, Hari 2005 asserted that there are two main elements in capturing knowledge: 1 the technique to capture the knowledge; 2 the knowledge which has
to be captured. Hence, the next step divides the task into two main parts:
Part 1a: Finding an appropriate technique to capture knowledge during
conceptual design phase.
Part 1b: Determining what knowledge has to be captured; Part 2: Capturing the required mechanicalelectrical knowledge during
conceptual phase of building projects.
The process of finding appropriate technique, determining the entity of the required mechanicalelectrical knowledge and also capturing this required knowledge is shown
in Figure 3.5.
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Figure 3.5. Process of Specifying and Capturing the Required MechanicalElectrical Knowledge
For part 1a, the researcher conducted a literature survey about knowledge capture to identify the way of capturing knowledge. Then, the knowledge capture techniques
were examined to find an appropriate one to capture professionals’ knowledge during the conceptual design phase of building projects. As a result, the observation
technique was recognized as an appropriate technique to capture mechanicalelectrical tacit knowledge during conceptual design stage of a building
project See Section 2.3.5 for detail.
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For part 1b, the researcher used observation technique to capture professionals’ knowledge through a case study during conceptual design phase of ITMA project.
Creswell 2003 stated that in observation method, the researcher takes field notes on the individual behavior and activities at the research site. Moreover, he believed that
the role of researcher can be either a complete participant or an observer as participant, or a participant as observer or a complete observer. The researcher
needed to be acquainted with all team members for having conversations with them to determine the considered knowledge. For this purpose, the researcher attended and
observed all the activities performed by the team members to document the mechanicalelectrical knowledge. Hence, the researcher was a complete observer.
Patton 1990 and Yin 2003 highlight that potential data sources may include documentation, archival records, interviews, physical artifacts and observation. The
types of data resources used in this study included audio and video records from experts’ activities who were involved in the case study. The audio and video records
were later transcribed and analyzed to determine what the required mechanicalelectrical knowledge were which need to be considered by the architects
during conceptual design phase.
By answering sub-RQ2, the entity of the mechanicalelectrical knowledge required to be considered by the architects during conceptual design phase was identified. By
conducting both part 1a and part 1b, this study would obtain:
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1. The appropriate techniques for capturing tacit knowledge during the conceptual design, and
2. The knowledge which has to be exchanged between mechanicalelectrical engineers and architects during the conceptual design phase.
The next step is to determine the third research question i.e., How do architects and mechanicalelectrical engineers know when to transfer the required knowledge
for improving knowledge flow during the conceptual design phase of building projects?. For this purpose, the required knowledge needed to be linked to the
activities of the conceptual design phase. Toward this end, this study needed to follow the steps shown in Figure 3.6. According to this figure, first step was
inspecting existing conceptual design process models to find an appropriate one for the purpose of this study. Then, the collected data – the required mechanicalelectrical
knowledge to be considered during conceptual design phase – were assigned to the activities of the selected model for conceptual design phase. Finally, the findings –
the required mechanicalelectrical considerations – were checked with existing standards to ascertain the sufficiency of the considerations.
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Figure 3.6. Steps to Develop a Knowledge-based Framework for Conceptual Design Phase
From Chapter 2, Macmillan 2001 framework was chosen as the appropriate framework for the conceptual design phase with sufficient details consisting the
required activities and steps. Then, activities’ details for Macmillan framework were used to provide a linkage between the required mechanicalelectrical knowledge and
the architect’s activities for conceptual design phase. Thus, the required mechanicalelectrical knowledge could be assigned to the related step of Macmillan
framework. This proposed framework will be called Knowledge-Based framework toward the end of the study.
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Based on Macmillan framework, this study faces two important issues in relation with the knowledge during the conceptual design phase. These issues include:
1 The required mechanicalelectrical knowledge, and 2 The step of the conceptual design phase in which the knowledge has to be
used.
Based on this, this study made a two-dimensional matrix using the structure of repertory grid See Section 2.4.4. The first entity came from Macmillan 2001
framework for conceptual design phase and the second one was the required mechanicalelectrical knowledge. Developing this matrix would clarify which
knowledge is required to be considered through the corresponding activity of the conceptual design framework by Macmillan. By locating the required knowledge
within the matrix, knowledge can be captured successfully. As a result, this study was expected to succeed in developing a technique to capture mechanicalelectrical
knowledge during the conceptual design phase based on the Macmillan framework.
To prove that the proposed framework can improve the flow of knowledge during the conceptual design phase, the researcher relied on Nissen 2006 multidimensional
model for knowledge flow life cycle Figure 3.7. According to Nissen, tacit knowledge contributes to long the flow time and explicit knowledge contributes to
shorter flow time. Because conceptual design phase is a tacit dominated area, changing type of knowledge from tacit to explicit can then improve the knowledge
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flow time. At last, the existing Macmillan framework and the proposed framework were compared based on the simulation results created by SimVision. SimVision® is
an agent-based computational organization theory COT modeling tool Jin Levitt, 1994, to build a high-level facility development life cycle process which includes an
organization responsible over each life cycle phase to emulate the operating environment. Two studies, Nissen Levitt 2002 and Ibrahim Nissen 2007 have
utilized this tool to evaluate and validate performance in the construction industry more specifically. Ibrahim Nissen 2007 validated the finding of earlier qualitative
ethnography to study the effects of discontinuous membership on knowledge flows in an early phase of a property development lifecycle. Ibrahim and Nissen 2005 used
this method to study the amplification of tacit knowledge movement through enterprise life cycle. More details of the simulation will be explained in Chapter 5.
.
Figure 3.7. Steps to Justify the Proposed Framework for Improving Knowledge Flow
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Tacit knowledge, according to Nissen 2006, corresponds to relatively “heavy mass” and accordingly contributes to slow flows and long flow time. On the other hand,
explicit knowledge is relatively “light mass” and corresponds to rapid flows which contributes to shorter flow time. Furthermore, Nissen argues that the next step in
knowledge flow life cycle is formalizing the knowledge based on the multidimensional model. This step deals with tacit knowledge and as a result
contributes to slow flows and results in longer flow time. Knowledge movement between professional is apparently expedited by converting tacit knowledge to
explicit type. Now, tacit knowledge of the experts about the required mechanicalelectrical knowledge will be captured and placed in our proposed matrix
by employing the knowledge-based framework for the conceptual design phase proposed by this study.
In this condition, tacit knowledge can be converted to the explicit type. In conclusion, by using the proposed knowledge-based framework of this study, the researcher
expects to observe: 1. Improved the knowledge flow during conceptual design phase,
2. Higher percentage of activities to be filled with tacit knowledge, 3. Shortening the flow time arising from explicitness of knowledge, and
4. Merging two primary steps of Nissen 2006 model into one step capturing and formalizing the individual knowledge.
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