2,191 to 2,200 of 7,509 Results
Sep 30, 2024
Ishtiaque, Tausif Ahmed, 2024, "Replication Data for: Exploring Client Motives for Early Contractor Involvement in Infrastructure Projects", https://doi.org/10.18710/QXPRXF, DataverseNO, V1
Early Contractor Involvement (ECI) has been highlighted as a key to solving poor performance in large construction projects. This study investigates the tasks in the pre-construction phase that are most likely to benefit from having ECI based on the motivation of the client organization. This study is limited to public infrastructure projects, the... |
Sep 30, 2024 -
Replication Data for: Exploring Client Motives for Early Contractor Involvement in Infrastructure Projects
Plain Text - 9.3 KB -
MD5: fc9f68f7ec9a18a41b45a52b71d29848
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Sep 30, 2024 -
Replication Data for: Exploring Client Motives for Early Contractor Involvement in Infrastructure Projects
Comma Separated Values - 10.8 KB -
MD5: 1eef3d0f96e4c0d3076b67cd5a5c948d
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Sep 30, 2024 -
Replication Data for: Exploring Client Motives for Early Contractor Involvement in Infrastructure Projects
Unknown - 123.4 KB -
MD5: 71fa7c58b5b8f77000508609912431f3
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Sep 30, 2024 -
Replication Data for: Exploring Client Motives for Early Contractor Involvement in Infrastructure Projects
Comma Separated Values - 11.3 KB -
MD5: a6152d50090641d5d71cefb6bca80cb0
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Sep 25, 2024
Veitch, Erik, 2024, "Questionnaire dataset about user experience of an autonomous ferry", https://doi.org/10.18710/9BBPGG, DataverseNO, V1
Questionnaire responses (N = 146 respondents) saved as text (comma-separated). Consists of 46 question items across four categories: (i) demographics (ii) user experience (iii) passenger attitudes (iv) feedback on ferry’s characteristics. Responses were provided voluntarily using a digital survey tool during public trials of the “milliAmpere2” in T... |
Plain Text - 15.6 KB -
MD5: b921030b4ae43521e4b2477efc896d71
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Comma Separated Values - 34.6 KB -
MD5: 3274db6d2b6f3340ecfb3e53e7c0712c
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Adobe PDF - 221.6 KB -
MD5: cc12c40fda2ff688538614440e67cba6
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Adobe PDF - 218.9 KB -
MD5: 60972e3ccad6a060875defb4101d092e
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