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- Publisher Website: 10.1061/(ASCE)0733-9364(2003)129:2(182)
- Scopus: eid_2-s2.0-3242657522
- WOS: WOS:000181676000009
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Article: Knowledge mining of information sources for research in construction management
Title | Knowledge mining of information sources for research in construction management |
---|---|
Authors | |
Keywords | Construction management Information management Research |
Issue Date | 2003 |
Publisher | American Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/co.html |
Citation | Journal Of Construction Engineering And Management, 2003, v. 129 n. 2, p. 182-191 How to Cite? |
Abstract | Extracting the right information at the right time is vital in any research project. Moreover, researchers generally seek innovative "knowledge mining" techniques for optimizing their research efforts within constrained time frames and with scarce resources. Meanwhile, rapid developments in the fields of computing and information technology drive the accelerated globalization process in both industry and academia. This paper explores some of the emerging technologies and associated research methodologies from an information supply chain perspective. An application in a recent Internet based two-phase questionnaire survey for design/build contractor selection provides a useful case study in the structuring of an innovative knowledge mining strategy. This experience feeds into the formulation of a "high-velocity" knowledge mining framework and a set of guidelines - to facilitate and enhance such innovative construction management research, while dealing with some initial issues/problems in the Internet based research environment. Furthermore, some critical success factors, key performance indicators, and mining strategies are consolidated for marshalling both vivid and tacit knowledge sources, such as by "exploiting" Internet resources for more creative and efficient construction management research. |
Persistent Identifier | http://hdl.handle.net/10722/71145 |
ISSN | 2023 Impact Factor: 4.1 2023 SCImago Journal Rankings: 1.071 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Palaneeswaran, E | en_HK |
dc.contributor.author | Kumaraswamy, MM | en_HK |
dc.date.accessioned | 2010-09-06T06:29:18Z | - |
dc.date.available | 2010-09-06T06:29:18Z | - |
dc.date.issued | 2003 | en_HK |
dc.identifier.citation | Journal Of Construction Engineering And Management, 2003, v. 129 n. 2, p. 182-191 | en_HK |
dc.identifier.issn | 0733-9364 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/71145 | - |
dc.description.abstract | Extracting the right information at the right time is vital in any research project. Moreover, researchers generally seek innovative "knowledge mining" techniques for optimizing their research efforts within constrained time frames and with scarce resources. Meanwhile, rapid developments in the fields of computing and information technology drive the accelerated globalization process in both industry and academia. This paper explores some of the emerging technologies and associated research methodologies from an information supply chain perspective. An application in a recent Internet based two-phase questionnaire survey for design/build contractor selection provides a useful case study in the structuring of an innovative knowledge mining strategy. This experience feeds into the formulation of a "high-velocity" knowledge mining framework and a set of guidelines - to facilitate and enhance such innovative construction management research, while dealing with some initial issues/problems in the Internet based research environment. Furthermore, some critical success factors, key performance indicators, and mining strategies are consolidated for marshalling both vivid and tacit knowledge sources, such as by "exploiting" Internet resources for more creative and efficient construction management research. | en_HK |
dc.language | eng | en_HK |
dc.publisher | American Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/co.html | en_HK |
dc.relation.ispartof | Journal of Construction Engineering and Management | en_HK |
dc.rights | Journal of Construction Engineering and Management. Copyright © American Society of Civil Engineers. | en_HK |
dc.subject | Construction management | en_HK |
dc.subject | Information management | en_HK |
dc.subject | Research | en_HK |
dc.title | Knowledge mining of information sources for research in construction management | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0733-9364&volume=129&issue=2&spage=182&epage=191&date=2003&atitle=Knowledge+mining+of+information+sources+for+research+in+construction+management | en_HK |
dc.identifier.email | Kumaraswamy, MM:mohan@hkucc.hku.hk | en_HK |
dc.identifier.authority | Kumaraswamy, MM=rp00126 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1061/(ASCE)0733-9364(2003)129:2(182) | en_HK |
dc.identifier.scopus | eid_2-s2.0-3242657522 | en_HK |
dc.identifier.hkuros | 104182 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-3242657522&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 129 | en_HK |
dc.identifier.issue | 2 | en_HK |
dc.identifier.spage | 182 | en_HK |
dc.identifier.epage | 191 | en_HK |
dc.identifier.isi | WOS:000181676000009 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Palaneeswaran, E=6603323319 | en_HK |
dc.identifier.scopusauthorid | Kumaraswamy, MM=35566270600 | en_HK |
dc.identifier.issnl | 0733-9364 | - |