TY - CONF TI - Location-Based Work Sampling: Field Testing and Utility Evaluation C1 - Lille, France C3 - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31) SP - 1160 EP - 1171 PY - 2023 DO - 10.24928/2023/0131 AU - Pérez, Cristina T. AU - Salling, Stephanie T. AU - Wandahl, Søren AD - Assistant Professor, Department of Civil & Architectural Engineering, Aarhus University, Denmark, cristina.toca.perez@cae.au.dk, https://orcid.org/0000-0002-4182-1492 AD - Research Assistant, Department of Civil & Architectural Engineering, Aarhus University, Denmark, stsa@cae.au.dk, https://orcid.org/0000-0001-7088-6458 AD - Professor, Department of Civil & Architectural Engineering, Aarhus University, Denmark, swa@cae.au.dk, https://orcid.org/0000-0001-8708-6035 AB - Visual management has been developed and used by Lean practitioners to enhance communication and control operations and processes. Lean construction, as a process-focused approach, and emerging IT tools have the potential to transform and facilitate construction operations. The authors of this paper have previously presented a prototype adaption of the work sampling technique, called location-based work sampling, based on the results of a case study. However, the utility of this visual management tool has not yet been tested. Thus, this research aims to assess how the tool can provide managers with helpful information for decision-making. The paper presents the second learning cycle of a research project that adopted the Design Science Research strategy. The second cycle includes five steps. The first four steps consist of the application of LBWS, and the last step represents the evaluation: (1) clarifying work activities & workspaces; (2) data collection; (3) data visualization; (4) data analysis; (5) tool evaluation. The assessment results show that the tool, to a high degree, fulfills the six requirements of a digital visual management practice. However, the assessment also concludes that further development is needed to fully understand user needs and integrate the tool into daily management routines and processes. KW - Location-based Management KW - Visual Management KW - Waste KW - Work Sampling KW - Geographic location observations. PB - T2 - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31) DA - 2023/06/26 CY - Lille, France L1 - http://iglc.net/Papers/Details/2074/pdf L2 - http://iglc.net/Papers/Details/2074 N1 - Export Date: 24 April 2025 DB - IGLC.net DP - IGLC LA - English ER -