Replication Data for: "Ranking the Benefits of Early Contractor Involvement in Infrastructure Projects from the Client’s Perspective".

DOI

With the rising popularity of collaborative project delivery models to deliver infrastructure projects, there has been a growing interest in the possibility of integrating contractors in the pre-construction phase of the project using Early Contractor Involvement (ECI). However, previous studies on the effects of ECI did not consider whether the benefits observed were the intended effects that motivated the client to use ECI. This study aimed to investigate which potential benefits of ECI are significant from the client's perspective. We asked participants from a client organization to rank the potential benefits of ECI using pairwise comparison and the results from this were compiled using the Analytic Hierarchy Process (AHP) method. Our findings show that the benefits expected by the client organization are moderated by what motivated the client to use ECI in the first place. Overall, the ability to influence innovation in the project and to reduce the execution time are seen as the most desired benefits for the client. This result will allow contractors to get a clearer picture of what they need to focus on to maximize the benefits that the clients expect the most out of ECI.

This dataset contains a compilation of survey responses used in priority calculation using the AHP method as well as the detailed calculation.

SpiceLogic Analytic Hierarchy Process Software, 4.2.6

Identifier
DOI https://doi.org/10.18710/BVG5VY
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/BVG5VY
Provenance
Creator Ishtiaque, Tausif Ahmed ORCID logo
Publisher DataverseNO
Contributor Ishtiaque, Tausif Ahmed; NTNU – Norwegian University of Science and Technology
Publication Year 2023
Funding Reference Research Council of Norway NRF project number 309726
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Ishtiaque, Tausif Ahmed (NTNU – Norwegian University of Science and Technology)
Representation
Resource Type Survey data; Dataset
Format text/plain; text/comma-separated-values; application/pdf
Size 2418; 13306; 51288350
Version 2.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Construction Engineering and Architecture; Engineering; Engineering Sciences; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences
Spatial Coverage Oslo, Norway