Determining Why Facilities Management has been Conservative in Adopting Data Analytics
Abstract
The necessity for data analytics in facilities management is increasing due to the complexity of modern-days organisational requirements in the 21st century. Despite the emergence of data analytics that has benefited various businesses and industrial sectors, the facilities management sector has been conservative in adopting the technology. This would lead to severe challenges for FM to achieve continuous improvement and revolutionise the management of the facilities through the implementation of IR4.0. Thus, this paper aims to determine why facilities management service providers seem to be struggling to adopt data analytics in their operations. A literature review was carried out on existing literature on the topic. The selected articles were then critically evaluated for their quality and relevance to the subject matter and the findings were synthesised and summarised. The result suggests that facilities management service providers faced three challenges that contribute to their conservative adoption of data analytics in facilities management which are technology integration, organisational inefficiency, and financial constraints. The findings of this study could help to better understand why the facilities management sector has been conservative in adopting data analytics which could pave a path to identifying ways for facilities management service providers to adopt data analytics in their operations.
References
Aishah Kamarazaly, M., Mbachu, J., & Phipps, R. (2013). Challenges faced by facilities managers in the Australasian universities. Journal of Facilities Management, 11(2), 136–151. https://doi.org/10.1108/14725961311319755
Alalawneh, A. A. F., & Alkhatib, S. F. (2021). The barriers to big data adoption in developing economies. Electronic Journal of Information Systems in Developing Countries, 87(1). https://doi.org/10.1002/isd2.12151
Al-Azab, M. R., Mohamed, H., Al, M., Abd, H., Samie, E., & Associate, M. (2021). Big Data Analytics in Airlines: Opportunities and Challenges Big Data Analytics in Airlines: Opportunities and Challenges ARTICLE INFO ABSTRACT (Vol. 21, Issue 4). https://www.researchgate.net/publication/356647231
Anker Jensen, P. (2008). The origin and constitution of facilities management as an integrated corporate function. Facilities, 26(13–14), 490–500. https://doi.org/10.1108/02632770810914253
Delen, D., & Ram, S. (2018). Research challenges and opportunities in business analytics. Journal of Business Analytics, 1(1), 2–12. https://doi.org/10.1080/2573234X.2018.1507324
Dwivedi, S., Kasliwal, P., & Soni, P. S. (2016). 2016 Symposium on Colossal Data Analysis and Networking (CDAN).
Fadahunsi, J. O., Utom, J. A., Ochim, M. R., Ayedun, C. A., & Oloke, O. C. (2019). Benefits of the Adoption of Facilities Management Practices in Tertiary Institutions: A Case Study of Covenant University. IOP Conference Series: Materials Science and Engineering, 640(1). https://doi.org/10.1088/1757-899X/640/1/012032
Gatica, C. P., Koester, M., & Gaukstern, T. (2016). 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA) : September 6-9, 2016, Berlin, Germany.
Gautam, P. K. (2020). Work-Culture for Employee Work-Behaviour: Mediating Role of Satisfaction. PYC Nepal Journal of Management, 13(1), 17–32. https://doi.org/10.3126/pycnjm.v13i1.31493
Granberg, M., & He, D. (2018). The Future of Big Data Analysis in Facility Management.
Gudivada, V. N. (2017). Data Analytics: Fundamentals. In Data Analytics for Intelligent Transportation Systems (pp. 31–67). Elsevier Inc. https://doi.org/10.1016/B978-0-12-809715-1.00002-X
Kaur, H., & Phutela, A. (2018). ICISC 2018 : proceedings of the 2nd International Conference on Inventive Systems and Control (ICISC 2018) : 19-20 January 2018.
Konanahalli, A., Marinelli, M., & Oyedele, L. (2022). Drivers and Challenges Associated With the Implementation of Big Data Within U.K. Facilities Management Sector: An Exploratory Factor Analysis Approach. IEEE Transactions on Engineering Management, 69(4), 916–929. https://doi.org/10.1109/TEM.2019.2959914
Kumar, N., Kumar, G., & Singh, R. K. (2022). Analysis of barriers intensity for investment in big data analytics for sustainable manufacturing operations in post-COVID-19 pandemic era. Journal of Enterprise Information Management, 35(1), 179–213. https://doi.org/10.1108/JEIM-03-2021-0154
Nagaraj, B., Francis, A., Defence Research & Development Organisation (India), Karpagam College of Engineering. Department of Electronics and Communication Engineering, Institute of Electrical and Electronics Engineers. Madras Section., IEEE Robotics and Automation Society. Madras Chapter., Karpagam College of Engineering, & Institute of Electrical and Electronics Engineers. (2015). ICIIECS’15 : DRDO sponsored 2015 IEEE International Conference on Innovations in Information, Embedded and Communication Systems : 19th and 20th March 2015 : proceedings.
Nicolae (Stan), A.-M. (2021). Human Resources’ Resistance to Change - from Routine to Entrepreneurship Ideas. 2nd International Conference Global Ethics - Key of Sustainability (GEKoS), 15, 134–146. https://doi.org/10.18662/lumproc/gekos2021/12
Reddy Nadikattu, R. (2020). RESEARCH ON DATA SCIENCE, DATA ANALYTICS AND BIG DATA. International Journal of Engineering, Science and Mathematics.
Shukla, B., Khatri, S. K., Kapur, P. K., Amity University, Amity University. Amity Institute of Information Technology, Computer Society of India., Institute of Electrical and Electronics Engineers. Uttar Pradesh Section, & Institute of Electrical and Electronics Engineers. (2016). 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions) : September 7-9, 2016, venue, Amity University Uttar Pradesh, Noida, India.
Singh, R. K., Agrawal, S., Sahu, A., & Kazancoglu, Y. (2023). Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda. TQM Journal, 35(1), 262–291. https://doi.org/10.1108/TQM-02-2021-0051
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data challenges and analytical methods. Journal of Business Research, 70, 263–286. https://doi.org/10.1016/j.jbusres.2016.08.001
Thalmann, S., Mangler, J., Schreck, T., Huemer, C., Streit, M., Pauker, F., Weichhart, G., Schulte, S., Kittl, C., Pollak, C., Vukovic, M., Kappel, G., Gashi, M., Rinderle-Ma, S., Suschnigg, J., Jekic, N., & Lindstaedt, S. (2018). Data analytics for industrial process improvement a vision paper. Proceeding - 2018 20th IEEE International Conference on Business Informatics, CBI 2018, 2, 92–96. https://doi.org/10.1109/CBI.2018.10051
Van Dommeien, D., Noordegraaf, R., & Buma, H. (1990). Decision making in a strategic approach to facilities management PROFIT HAS OTHER BENEFITS THAN FINANCIAL GAIN, NECESSITATING BROAD AND CONTINUOUS ASSESSMENT OF FACILITIES BY THE FACILITIES MANAGER AT EACH STAGE OF THE LIFE CYCLE. THIS PAPER STATES A CASE FOR EARLY ATTENTION TO THE REQUIREMENTS OF THE END USER IN THE PROCESS. In ANALYSIS (Vol. 8, Issue 9).
Wang, F., & Stiglic, G. (2015). Tutorial: Data Analytics in Healthcare Informatics. Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015, 444. https://doi.org/10.1109/ICHI.2015.62
Wiggins, J. M. (2021). History of Facilities Management 1 1.1 Origins of facilities management.
Yang, E., & Bayapu, I. (2020). Big Data analytics and facilities management: a case study. Facilities, 38(3–4), 268–281. https://doi.org/10.1108/F-01-2019-0007
Alalawneh, A. A. F., & Alkhatib, S. F. (2021). The barriers to big data adoption in developing economies. Electronic Journal of Information Systems in Developing Countries, 87(1). https://doi.org/10.1002/isd2.12151
Al-Azab, M. R., Mohamed, H., Al, M., Abd, H., Samie, E., & Associate, M. (2021). Big Data Analytics in Airlines: Opportunities and Challenges Big Data Analytics in Airlines: Opportunities and Challenges ARTICLE INFO ABSTRACT (Vol. 21, Issue 4). https://www.researchgate.net/publication/356647231
Anker Jensen, P. (2008). The origin and constitution of facilities management as an integrated corporate function. Facilities, 26(13–14), 490–500. https://doi.org/10.1108/02632770810914253
Delen, D., & Ram, S. (2018). Research challenges and opportunities in business analytics. Journal of Business Analytics, 1(1), 2–12. https://doi.org/10.1080/2573234X.2018.1507324
Dwivedi, S., Kasliwal, P., & Soni, P. S. (2016). 2016 Symposium on Colossal Data Analysis and Networking (CDAN).
Fadahunsi, J. O., Utom, J. A., Ochim, M. R., Ayedun, C. A., & Oloke, O. C. (2019). Benefits of the Adoption of Facilities Management Practices in Tertiary Institutions: A Case Study of Covenant University. IOP Conference Series: Materials Science and Engineering, 640(1). https://doi.org/10.1088/1757-899X/640/1/012032
Gatica, C. P., Koester, M., & Gaukstern, T. (2016). 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA) : September 6-9, 2016, Berlin, Germany.
Gautam, P. K. (2020). Work-Culture for Employee Work-Behaviour: Mediating Role of Satisfaction. PYC Nepal Journal of Management, 13(1), 17–32. https://doi.org/10.3126/pycnjm.v13i1.31493
Granberg, M., & He, D. (2018). The Future of Big Data Analysis in Facility Management.
Gudivada, V. N. (2017). Data Analytics: Fundamentals. In Data Analytics for Intelligent Transportation Systems (pp. 31–67). Elsevier Inc. https://doi.org/10.1016/B978-0-12-809715-1.00002-X
Kaur, H., & Phutela, A. (2018). ICISC 2018 : proceedings of the 2nd International Conference on Inventive Systems and Control (ICISC 2018) : 19-20 January 2018.
Konanahalli, A., Marinelli, M., & Oyedele, L. (2022). Drivers and Challenges Associated With the Implementation of Big Data Within U.K. Facilities Management Sector: An Exploratory Factor Analysis Approach. IEEE Transactions on Engineering Management, 69(4), 916–929. https://doi.org/10.1109/TEM.2019.2959914
Kumar, N., Kumar, G., & Singh, R. K. (2022). Analysis of barriers intensity for investment in big data analytics for sustainable manufacturing operations in post-COVID-19 pandemic era. Journal of Enterprise Information Management, 35(1), 179–213. https://doi.org/10.1108/JEIM-03-2021-0154
Nagaraj, B., Francis, A., Defence Research & Development Organisation (India), Karpagam College of Engineering. Department of Electronics and Communication Engineering, Institute of Electrical and Electronics Engineers. Madras Section., IEEE Robotics and Automation Society. Madras Chapter., Karpagam College of Engineering, & Institute of Electrical and Electronics Engineers. (2015). ICIIECS’15 : DRDO sponsored 2015 IEEE International Conference on Innovations in Information, Embedded and Communication Systems : 19th and 20th March 2015 : proceedings.
Nicolae (Stan), A.-M. (2021). Human Resources’ Resistance to Change - from Routine to Entrepreneurship Ideas. 2nd International Conference Global Ethics - Key of Sustainability (GEKoS), 15, 134–146. https://doi.org/10.18662/lumproc/gekos2021/12
Reddy Nadikattu, R. (2020). RESEARCH ON DATA SCIENCE, DATA ANALYTICS AND BIG DATA. International Journal of Engineering, Science and Mathematics.
Shukla, B., Khatri, S. K., Kapur, P. K., Amity University, Amity University. Amity Institute of Information Technology, Computer Society of India., Institute of Electrical and Electronics Engineers. Uttar Pradesh Section, & Institute of Electrical and Electronics Engineers. (2016). 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions) : September 7-9, 2016, venue, Amity University Uttar Pradesh, Noida, India.
Singh, R. K., Agrawal, S., Sahu, A., & Kazancoglu, Y. (2023). Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda. TQM Journal, 35(1), 262–291. https://doi.org/10.1108/TQM-02-2021-0051
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data challenges and analytical methods. Journal of Business Research, 70, 263–286. https://doi.org/10.1016/j.jbusres.2016.08.001
Thalmann, S., Mangler, J., Schreck, T., Huemer, C., Streit, M., Pauker, F., Weichhart, G., Schulte, S., Kittl, C., Pollak, C., Vukovic, M., Kappel, G., Gashi, M., Rinderle-Ma, S., Suschnigg, J., Jekic, N., & Lindstaedt, S. (2018). Data analytics for industrial process improvement a vision paper. Proceeding - 2018 20th IEEE International Conference on Business Informatics, CBI 2018, 2, 92–96. https://doi.org/10.1109/CBI.2018.10051
Van Dommeien, D., Noordegraaf, R., & Buma, H. (1990). Decision making in a strategic approach to facilities management PROFIT HAS OTHER BENEFITS THAN FINANCIAL GAIN, NECESSITATING BROAD AND CONTINUOUS ASSESSMENT OF FACILITIES BY THE FACILITIES MANAGER AT EACH STAGE OF THE LIFE CYCLE. THIS PAPER STATES A CASE FOR EARLY ATTENTION TO THE REQUIREMENTS OF THE END USER IN THE PROCESS. In ANALYSIS (Vol. 8, Issue 9).
Wang, F., & Stiglic, G. (2015). Tutorial: Data Analytics in Healthcare Informatics. Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015, 444. https://doi.org/10.1109/ICHI.2015.62
Wiggins, J. M. (2021). History of Facilities Management 1 1.1 Origins of facilities management.
Yang, E., & Bayapu, I. (2020). Big Data analytics and facilities management: a case study. Facilities, 38(3–4), 268–281. https://doi.org/10.1108/F-01-2019-0007
Published
2023-06-30
How to Cite
HS HISAMUDDIN, TEreena Farisha; MOHAMMAD, Izran Sarrazin; AFIQ LOKMAN, Muhamad Amir.
Determining Why Facilities Management has been Conservative in Adopting Data Analytics.
International Journal of Business and Technology Management, [S.l.], v. 5, n. 2, p. 205-218, june 2023.
ISSN 2682-7646.
Available at: <https://myjms.mohe.gov.my/index.php/ijbtm/article/view/22954>. Date accessed: 03 dec. 2023.
Section
Articles
