Purpose
Low productivity in construction is typically blamed on the seemingly complex and chaotic nature of construction, which emerges as the stakeholders do not have an adequate picture of the evolving situation. The ever-increasing volume of situation data owing to the recent advances in IoT devices and reality capture platforms provide a unique opportunity to capture the actual situation data of construction projects accurately at a fraction of the cost compared to manual status tracking and reporting. This paper aims to investigate the concept of a situation picture, challenges in collecting situation data and its benefits.
Design/Methodology/Approach
Empirical data is collected through interviews in California and Finland, and by organizing workshops.
Findings
We contribute to literature on managing operational information by defining the concept of a situation picture in the context of construction, specifically from the blue-collar’s perspective during on-site activities. We present the key components of a conceptual information model that represents a situation picture in construction.
Research limitations/implications
The applicability of conceptual information model of situation picture is not tested in practice, but the model will provide a starting point for research to comprehensively integrate social and digital information exchange for improving workflow.
Practical implications
The paper claims that designing and building comprehensive information management infrastructure would contribute to solving the problems of low productivity, quality and safety in construction projects.
Originality/value
Research on situation picture and situation awareness is scarce in the context of construction. The study links various information management technologies and practices to actual construction productivity.
[1]
Jeffrey Copeland.
Emergency Response: Unity of Effort Through a Common Operational Picture
,
2008
.
[2]
Carol Craig.
Improving flight condition situational awareness through Human Centered Design.
,
2012,
Work.
[3]
M. Endsley,et al.
Situation awareness in anesthesia: concept and research.
,
2013,
Anesthesiology.
[4]
Ray Y. Zhong,et al.
A big data approach for logistics trajectory discovery from RFID-enabled production data
,
2015
.
[5]
Kathryn Mearns,et al.
Sharing 'worlds of risk'; improving communication with crew resource management
,
2001
.
[6]
Mica R. Endsley,et al.
Toward a Theory of Situation Awareness in Dynamic Systems
,
1995,
Hum. Factors.
[7]
Nancy J. Cooke,et al.
Human Factors of Homeland Security
,
2007
.
[8]
Harri Haapasalo,et al.
Business models and project selection in construction companies
,
2015
.
[9]
Mica R. Endsley,et al.
Theoretical Underpinnings of Situation Awareness, A Critical Review
,
2000
.
[10]
Carlos H. Caldas,et al.
Management and analysis of unstructured construction data types
,
2008,
Adv. Eng. Informatics.
[11]
Amr A. Oloufa,et al.
Situational awareness of construction equipment using GPS, wireless and web technologies
,
2003
.
[12]
Lars-Erik Gadde,et al.
Supply strategy and network effects — purchasing behaviour in the construction industry
,
2000
.
[13]
Olli Seppänen.
Empirical Research on the Success of Production Control in Building Construction Projects
,
2009
.