Implementation of the Data-Driven Analytics Protocol through Facility Management and Real Estate Industry Cases

Jain, Ashwini; Yoon, F. Soojin; Kang, Kyubyung; Hastak, Makarand

doi:10.1061/(asce)me.1943-5479.0000894

Cited by 7 publications

(4 citation statements)

References 40 publications

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“…From the respondent’s perspective, use of data analytics [TC7] (SFL = 0.83) is essential as it influences decision making by manifesting accurate interpretation and extraction of valuable information. This confirms the observation of Jain et al. (2022) who stated that systematic data-driven decision-making process enables decision makers in interpreting the context of an issue and extracting valuable information from the available data to come up with an appropriate solution.…”

Section: Discussion On Findingssupporting

confidence: 86%

“…Apart from the usual benefits of automation viz time saving, cost reduction, error minimization etc., a key advantage is the reduction of human intervention i.e. physical touchpoints and facilitation in working in hybrid mode (Badamasi et al, 2021;Jain et al, 2022). Hence the technical competence is a skill that is highly desired among the contractors.…”

Section: Technological Competencementioning

confidence: 99%

“…physical touchpoints and facilitation in working in hybrid mode (Badamasi et al. , 2021; Jain et al. , 2022).…”

Section: Introductionmentioning

confidence: 99%

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Identifying the Contractor’s core competencies in post-COVID-19 scenario: developing a survey instrument

Deep

Joshi

Patil

2022

ECAM

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PurposeConstruction industry is one of the worst affected sectors due to the impact of the current coronavirus disease 2019 (COVID-19) outbreak. Therefore, the purpose of this study was to identify the key competencies that should be demonstrated by the contractors in the post-COVID-19 scenario to make them resilient to the adverse impact of pandemic outbreaks.Design/methodology/approachA survey instrument was developed using an extensive literature review and was tested using a pilot study. It was then administered online using survey monkey to 900 respondents, out of which 324 complete responses were obtained. The data analysis was performed using exploratory factor analysis and second-order confirmatory factor analysis.FindingsAfter analyzing the data, it was identified that the most critical competence was managing site safety (standard factor loading (SFL) = 0.91), followed by leadership skills (SFL = 0.88), technical competence (SFL = 0.81), managing supply chain disruption (SFL = 0.73) and financial stability (SFL = 0.48) that were found to be less essential from the respondents’ point of view.Originality/valueThe study is first of its kind to identify the core competencies that should be demonstrated by the contractors to cope with COVID-19-induced disruptions. The findings of this article can be used by the practitioners to develop policies and procedures for selection of contractors.

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Section: Discussion On Findingssupporting

confidence: 86%

Section: Technological Competencementioning

confidence: 99%

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Identifying the Contractor’s core competencies in post-COVID-19 scenario: developing a survey instrument

Deep

Joshi

Patil

2022

ECAM

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“…Historically the U.S. transportation system has been continuously improved to adopt new policies and technologies ( 1 , 2 ). The transportation vehicle energy transition from the internal combustion engine to the electric motor is promoted by policymakers and major automakers to enhance sustainability aspects such as fossil fuel consumption reduction, carbon emissions reduction, and lowering operations and maintenance (O&M) costs ( 3 ).…”

mentioning

confidence: 99%

Agent-Based Model of Electric Vehicle Charging Demand for Long-Distance Driving in the State of Indiana

Chen

Kang

Koo

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Historically the U.S. transportation system has been continuously improved to adopt new policies and technologies. The transportation vehicle energy transition from fossil fuels to electricity is promoted by policymakers and major automakers with an expectation of enhancing sustainability aspects such as fossil fuel consumption reduction, carbon emissions reduction, and lower operations and maintenance costs. However, the electrification of the existing transportation infrastructure system requires substantial upgrades to overcome two major concerns from ordinary drivers and the public. One is the driver’s range anxiety based on the current capability of the electric vehicle (EV) technologies. The other is the availability of EV charging stations near the planned route. To address these two issues, we introduce an agent-based simulation model to project the consequences of electrification in the Indiana state highway system. Specifically, the model is developed to monitor the status of long-distance EV trips between different regions. The multi-agent engine method guarantees the model can adapt to diverse scenarios and complex environments. The simulation experiment verifies that the proposed model can provide the expected outcomes, including the numerical data of electric energy demand and the geospatial information (as location coordinates) of failed trips. By performing a GIS-based analysis of the results, the derived geospatial data can help state transportation agencies determine where to deploy the charging facilities to satisfy the overall charging demand. The proposed simulation framework offers a novel and strategic way to resolve the challenges for EV charging-related research and projects.

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Extended ExpTODIM technique based on GRA for capability evaluation of real estate general contractors with hesitant triangular fuzzy information

Liao,

Lei

2024

Soft Comput

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Implementation of the Data-Driven Analytics Protocol through Facility Management and Real Estate Industry Cases

Cited by 7 publications

References 40 publications

Identifying the Contractor’s core competencies in post-COVID-19 scenario: developing a survey instrument

Identifying the Contractor’s core competencies in post-COVID-19 scenario: developing a survey instrument

Agent-Based Model of Electric Vehicle Charging Demand for Long-Distance Driving in the State of Indiana

Extended ExpTODIM technique based on GRA for capability evaluation of real estate general contractors with hesitant triangular fuzzy information

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