Industry Perception of the Knowledge and Skills Required to Implement Sensor Data Analytics in Construction

Author:

Khalid Mohammad1ORCID,Akanmu Abiola2ORCID,Murzi Homero3ORCID,Lee Sang Won4,Awolusi Ibukun5ORCID,Manesh Daniel6ORCID,Okonkwo Chinedu7ORCID

Affiliation:

1. Ph.D. Student, Construction Engineering and Management, Myers-Lawson School of Construction, Virginia Tech, Blacksburg, VA 24060 (corresponding author). ORCID: .

2. Associate Professor, Construction Engineering and Management, Myers-Lawson School of Construction, Virginia Tech, Blacksburg, VA 24060. ORCID:

3. Assistant Professor, Dept. of Engineering Education, Virginia Tech, Blacksburg, VA 24060. ORCID:

4. Assistant Professor, Dept. of Computer Science, Virginia Tech, Blacksburg, VA 24060.

5. Assistant Professor, School of Civil and Environmental Engineering, and Construction Management, Univ. of Texas at San Antonio, San Antonio, TX 78249. ORCID:

6. Ph.D. Student, Dept. of Computer Science, Virginia Tech, Blacksburg, VA 24060. ORCID:

7. Ph.D. Student, School of Civil and Environmental Engineering, and Construction Management, Univ. of Texas at San Antonio, San Antonio, TX 78249. ORCID:

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Civil and Structural Engineering

Reference76 articles.

1. AGC (Associated General Contractors of America). 2020. The 2020 construction hiring and business outlook. Thousand Oaks, CA: SAGE.

2. Aggarwal, C. C. 2013. “An introduction to sensor data analytics.” In Managing and mining sensor data, edited by C. C. Aggarwal, 1–8. Boston: Springer.

3. An analysis of academic librarians competencies and skills for implementation of big data analytics in libraries: A correlational study;Ahmad K.;Data Technol. Appl.,2019

4. Challenges and drivers for data mining in the AEC sector;Ahmed V.;Eng. Constr. Archit. Manage.,2018

5. Key competencies for US construction graduates: Industry perspective;Ahn Y. H.;J. Civ. Eng. Educ.,2012

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