Guo, G (2016) Information exchange using digital collaboration technology: five cases of the social networks in approvals. PhD thesis, University of Reading, UK.
Abstract
Recent substantial empirical studies adopt the network approach to understand digital technology enabled management of construction projects. The majority of these studies are based on surveys, and focus on complex inter-organisational relationships (relationships between different disciplines) and knowledge-transfer on mega projects. The approvals are one of the major information-based activities, which is argued in literature as essential to construction project enabled through digital collaboration technologies. But limited research articulates inter-personal information exchanges on a daily basis for approvals enabled in the digital collaboration technology. In a setting of interdisciplinary large infrastructure projects, this research employs network approach to examine the project performance in exchanging information for approvals between owner operator and supply chain in infrastructure projects enabled through digital collaboration technology.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | collaboration; construction project; infrastructure project; owner; project performance; social network analysis |
| Index terms: | collaboration, construction project, digital technology, large infrastructure project, approval, information exchange, survey, social network, social network analysis, project performance, empirical study, infrastructure project, owner |
| Subjects: | contractual role, research methods, production management, infrastructure engineering, data collection methods, computing systems, data science, management, project management theory and practice, sociology, infrastructure and transport systems |
| Topics: | Research Practice, Stakeholder Management, Digital Applications, Organizational Design, Contract Administration, Project Management, Engineering Principles |
| Descriptive scope: | 5 PCTEA |
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