View in EDS

A Cloud-based Mobile System to Manage Lessons-learned in Construction Projects.

Saved in:
Bibliographic Details
Title: A Cloud-based Mobile System to Manage Lessons-learned in Construction Projects.
Authors: Ferrada, Ximena1 xferrada@uc.cl, Núñez, Daniela2, Neyem, Andrés2, Serpell, Alfredo3, Sepúlveda, Marcos2
Source: Procedia Engineering. 2016, Vol. 164, p135-142. 8p.
Subjects: Construction project management, Cloud computing, Mobile computing, Construction industry, Knowledge transfer, Shared workspaces
Abstract: Knowledge and experience are vital assets within the construction industry. Nevertheless, small and medium construction companies still have problems to transfer the knowledge acquired in their projects to the rest of the organization. Lessons-learned are elements of knowledge management that could help companies to improve this process, and therefore, their global performance. This research presents a cloud-based mobile shared workspace to support knowledge management in construction. The article presents the original system and the modifications made to it based on an initial evaluation by construction professionals. The main upgrades were to include a notification system, letting users know when an action is required from them, and to improve the synchronization process for a better offline experience on site. The evaluators considered these were essentials features to be able to use the system on site. The 2.0 version of the system was validated with construction experts. The article concludes that one of the most relevant features of the system is its capacity to save information on site without an internet connection for later synchronization. Also, the proposed cloud-based shared workspace is a feasible option to improve knowledge management in small and medium Chilean construction companies, mainly because of mobility, usability and investment-related factors. [ABSTRACT FROM AUTHOR]
Copyright of Procedia Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 119965227
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Cloud-based Mobile System to Manage Lessons-learned in Construction Projects.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ferrada%2C+Ximena%22">Ferrada, Ximena</searchLink><relatesTo>1</relatesTo><i> xferrada@uc.cl</i><br /><searchLink fieldCode="AR" term="%22Núñez%2C+Daniela%22">Núñez, Daniela</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Neyem%2C+Andrés%22">Neyem, Andrés</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Serpell%2C+Alfredo%22">Serpell, Alfredo</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Sepúlveda%2C+Marcos%22">Sepúlveda, Marcos</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Procedia+Engineering%22">Procedia Engineering</searchLink>. 2016, Vol. 164, p135-142. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Construction+project+management%22">Construction project management</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+computing%22">Mobile computing</searchLink><br /><searchLink fieldCode="DE" term="%22Construction+industry%22">Construction industry</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+transfer%22">Knowledge transfer</searchLink><br /><searchLink fieldCode="DE" term="%22Shared+workspaces%22">Shared workspaces</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Knowledge and experience are vital assets within the construction industry. Nevertheless, small and medium construction companies still have problems to transfer the knowledge acquired in their projects to the rest of the organization. Lessons-learned are elements of knowledge management that could help companies to improve this process, and therefore, their global performance. This research presents a cloud-based mobile shared workspace to support knowledge management in construction. The article presents the original system and the modifications made to it based on an initial evaluation by construction professionals. The main upgrades were to include a notification system, letting users know when an action is required from them, and to improve the synchronization process for a better offline experience on site. The evaluators considered these were essentials features to be able to use the system on site. The 2.0 version of the system was validated with construction experts. The article concludes that one of the most relevant features of the system is its capacity to save information on site without an internet connection for later synchronization. Also, the proposed cloud-based shared workspace is a feasible option to improve knowledge management in small and medium Chilean construction companies, mainly because of mobility, usability and investment-related factors. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Procedia Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=119965227
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.proeng.2016.11.602
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 135
    Subjects:
      – SubjectFull: Construction project management
        Type: general
      – SubjectFull: Cloud computing
        Type: general
      – SubjectFull: Mobile computing
        Type: general
      – SubjectFull: Construction industry
        Type: general
      – SubjectFull: Knowledge transfer
        Type: general
      – SubjectFull: Shared workspaces
        Type: general
    Titles:
      – TitleFull: A Cloud-based Mobile System to Manage Lessons-learned in Construction Projects.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ferrada, Ximena
      – PersonEntity:
          Name:
            NameFull: Núñez, Daniela
      – PersonEntity:
          Name:
            NameFull: Neyem, Andrés
      – PersonEntity:
          Name:
            NameFull: Serpell, Alfredo
      – PersonEntity:
          Name:
            NameFull: Sepúlveda, Marcos
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 26
              M: 12
              Text: 2016
              Type: published
              Y: 2016
          Identifiers:
            – Type: issn-print
              Value: 18777058
          Numbering:
            – Type: volume
              Value: 164
          Titles:
            – TitleFull: Procedia Engineering
              Type: main
ResultId 1