Skip to main content
SpringerLink
Log in

Internet of Things Adoption Challenges in Enterprise Asset Management Organisations

  • Conference paper
  • First Online:
14th WCEAM Proceedings (WCEAM 2019)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Included in the following conference series:

  • 663 Accesses

Abstract

Enterprise Asset Management (EAM) is used to support strategic planning and budgeting, maintenance, repair and operations of organisational assets throughout the asset lifecycle. The purpose of EAM is to improve the assets’ reliability and performance without compromising health, safety and the environment, where Internet of Things (IoT) devices are useful to sense, monitor, respond to, or report asset conditions in real-time with minimum human intervention. Typically, IoT is adopted or integrated into an existing business process in an EAM organisation without reengineering the overall business process. As IoT technologies are usually not custom made for specific business process, adequate governance is critical to the success of IoT adoption. In this paper, adoption of IoT in EAM organisations and its challenges will be discussed from the perspective of data management. Literature reviews and academic case studies are also included to help identify the research gaps and data governance challenges related to adopting IoT technologies into EAM organisations. The factors influencing the IoT adoption will be presented from a technology, organisational, and people perspective. Different categories of challenges have been identified, including standardisation, security and privacy, data quality, organisational culture, business continuity and resilience. The paper concludes with some recommendations to improve IoT adoption in EAM organisations, as well as suggestions for future research directions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Gao J, Koronios AP (2006) Key data quality issues for enterprise asset management in engineering organisations. IJEBM 4(1):98–110

    Google Scholar 

  2. Royal Jr WC, Watkins RO (1999) Internet asset management system for a fuel dispensing environment. Google patents

    Google Scholar 

  3. Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener Comput Syst 29(7):1645–1660. https://doi.org/10.1016/j.future.2013.01.010

    Article  Google Scholar 

  4. Haller S, Karnouskos S, Schroth C (2008) The internet of things in an enterprise context. In: Future internet symposium. Springer, Heidelberg, pp 14–28

    Google Scholar 

  5. Bandyopadhyay D, Sen J (2011) Internet of things: applications and challenges in technology and standardization. Wireless Pers Commun 58(1):49–69. https://doi.org/10.1007/s11277-011-0288-5

    Article  Google Scholar 

  6. Kwon D, Hodkiewicz MR, Fan J, Shibutani T, Pecht MG (2016) IoT-based prognostics and systems health management for industrial applications. IEEE Access 4:3659–3670. https://doi.org/10.1109/ACCESS.2016.2587754

    Article  Google Scholar 

  7. Rahmani AM, Thanigaivelan NK, Tuan Nguyen G, Granados J, Negash B, Liljeberg P, Tenhunen H (2015) Smart e-Health gateway: bringing intelligence to internet-of-things based ubiquitous healthcare systems. In: 2015 12th Annual IEEE consumer communications and networking conference (CCNC), 9–12 Jan 2015, pp 826–834

    Google Scholar 

  8. Metso L, Happonen A, Rissanen M, Efvengren K, Ojanen V, Kärri T (2020) Data openness based data sharing concept for future electric car maintenance services. In: Advances in asset management and condition monitoring. Springer, Cham, pp 429–436

    Google Scholar 

  9. Perera C, Zaslavsky A, Christen P, Georgakopoulos D (2014) Sensing as a service model for smart cities supported by Internet of Things. Trans Emerg Telecommun Technol 25(1):81–93. https://doi.org/10.1002/ett.2704

    Article  Google Scholar 

  10. Paroutis S, Bennett M, Heracleous L (2014) A strategic view on smart city technology: the case of IBM smarter cities during a recession. Technol Forecast Soc Chang 89:262–272. https://doi.org/10.1016/j.techfore.2013.08.041

    Article  Google Scholar 

  11. Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M (2014) Internet of things for smart cities. IEEE Internet Things J 1(1):22–32. https://doi.org/10.1109/jiot.2014.2306328

    Article  Google Scholar 

  12. Piro G, Cianci I, Grieco LA, Boggia G, Camarda P (2014) Information centric services in smart cities. J Syst Softw 88:169–188. https://doi.org/10.1016/j.jss.2013.10.029

    Article  Google Scholar 

  13. René M, Deirdre L (2011) Context-aware pervasive services for smart cities. In: Ubiquitous developments in ambient computing and intelligence: human-centered applications. IGI Global, Hershey, pp 1–16

    Google Scholar 

  14. Perera C, Zaslavsky A, Christen P, Georgakopoulos D (2014) Context aware computing for the internet of things: a survey. IEEE Commun Surv Tutorials 16(1):414–454. https://doi.org/10.1109/surv.2013.042313.00197

    Article  Google Scholar 

  15. Sanchez L, Muñoz L, Galache JA, Sotres P, Santana JR, Gutierrez V, Ramdhany R, Gluhak A, Krco S, Theodoridis E, Pfisterer D (2014) SmartSantander: IoT experimentation over a smart city testbed. Comput Netw 61:217–238. https://doi.org/10.1016/j.bjp.2013.12.020

    Article  Google Scholar 

  16. Jin J, Gubbi J, Marusic S, Palaniswami M (2014) An information framework for creating a smart city through internet of things. IEEE Internet Things J 1(2):112–121. https://doi.org/10.1109/jiot.2013.2296516

    Article  Google Scholar 

  17. Li X, Lu R, Liang X, Shen X, Chen J, Lin X (2011) Smart community: an internet of things application. IEEE Commun Mag 49(11):68–75

    Article  Google Scholar 

  18. Vlacheas P, Giaffreda R, Stavroulaki V, Kelaidonis D, Foteinos V, Poulios G, Demestichas P, Somov A, Biswas AR, Moessner K (2013) Enabling smart cities through a cognitive management framework for the internet of things. IEEE Commun Mag 51(6):102–111

    Article  Google Scholar 

  19. Swan M (2012) Sensor mania! the internet of things, wearable computing, objective metrics, and the quantified self 2.0. J Sens Actuator Netw 1(3):217–253. https://doi.org/10.3390/jsan1030217

  20. Khalid H, Kay HK, Robert H (2006) E-business capabilities model: validation and comparison between adopter and non-adopter of e-business companies in UK. J Manuf Technol Manage 17(6):806–828. https://doi.org/10.1108/17410380610678819

    Article  Google Scholar 

  21. Ježek J (2012) Data architecture for sensor network. Geoinf. FCE CTU 7:31–38. https://doi.org/10.14311/gi.7.3

    Article  Google Scholar 

  22. Botta A, de Donato W, Persico V, Pescape A (2014) On the integration of cloud computing and internet of things, pp 23–30. https://doi.org/10.1109/ficloud.2014.14

  23. Soma B, Munmun S, Souvik M, Subhajit D (2011) Role of middleware for internet of things: a study. Int J Comput Sci Eng Surv 2(3):94–105. https://doi.org/10.5121/ijcses.2011.2307

    Article  Google Scholar 

  24. Barnaghi P, Bermudez-Edo M, Tönjes R (2015) Challenges for quality of data in smart cities. J. Data Inf Qual 6(2–3):1–4 (2015). https://doi.org/10.1145/2747881

  25. Kitchin R (2013) The real-time city? Big data and smart urbanism. GeoJournal 79(1):1–14. https://doi.org/10.1007/s10708-013-9516-8

    Article  Google Scholar 

  26. Tönjes R, Barnaghi P, Ali M, Mileo A, Hauswirth M, Ganz F, Ganea S, Kjærgaard B, Kuemper D, Nechifor S (2014) Real time IoT stream processing and large-scale data analytics for smart city applications. In: Poster session, European conference on networks and communications

    Google Scholar 

  27. Oriwoh E, Al-Khateeb H, Conrad M (2015) Responsibility and non-repudiation in resource-constrained internet of things scenarios

    Google Scholar 

  28. Zhang Z, Cho MCY, Wang C, Hsu C, Chen C, Shieh S (2014) IoT security: ongoing challenges and research opportunities. In: 2014 IEEE 7th international conference on service-oriented computing and applications, 17–19 November 2014, pp 230–234

    Google Scholar 

  29. Ma M, Wang P, Chu C-H (2013) Data management for internet of things: challenges, approaches and opportunities. In: 2013 IEEE International conference on green computing and communications and IEEE internet of things and IEEE cyber, physical and social computing, 20–23 August 2013, pp 1144–1151

    Google Scholar 

  30. Tsai C-W, Lai C-F, Chiang M-C, Yang LT (2014) Data mining for internet of things: a survey. IEEE Commun Surv Tutorials 16(1):77–97. https://doi.org/10.1109/surv.2013.103013.00206

    Article  Google Scholar 

  31. Ishaq I, Carels D, Teklemariam G, Hoebeke J, Abeele F, Poorter E, Moerman I, Demeester P (2013) IETF standardization in the field of the internet of things (IoT): a survey. J Sens Actuator Netw 2(2):235–287. https://doi.org/10.3390/jsan2020235

    Article  Google Scholar 

  32. Rose K, Eldridge S, Chapin L (2015) The internet of things: an overview. The internet society (ISOC), pp 1–50

    Google Scholar 

  33. Lee I, Lee K (2015) The internet of things (IoT): applications, investments, and challenges for enterprises. Bus Horiz 58(4):431–440. https://doi.org/10.1016/j.bushor.2015.03.008

    Article  Google Scholar 

  34. Jernigan S, Kiron D, Ransbotham S (2016) Data sharing and analytics are driving success with IoT. MIT Sloan Manage Rev 58(1):0

    Google Scholar 

  35. Yang L, Yang SH, Plotnick L (2013) How the internet of things technology enhances emergency response operations. Technol Forecast Soc Chang 80(9):1854–1867. https://doi.org/10.1016/j.techfore.2012.07.011

    Article  Google Scholar 

  36. Borgia E (2014) The internet of things vision: key features, applications and open issues. Comput Commun 54:1–31. https://doi.org/10.1016/j.comcom.2014.09.008

    Article  Google Scholar 

  37. Vermesan O, Friess P (2014) Internet of things-from research and innovation to market deployment. River Publishers Aalborg

    Google Scholar 

  38. Strome TL (2013) Data quality and governance. In: Healthcare analytics for quality and performance improvement. Wiley, Hoboken, pp 75–90

    Google Scholar 

  39. Bin-Abbas H, Bakry SH (2014) Assessment of IT governance in organizations: a simple integrated approach. Comput Hum Behav 32:261–267. https://doi.org/10.1016/j.chb.2013.12.019

    Article  Google Scholar 

  40. Saleh MS, Alfantookh A (2011) A new comprehensive framework for enterprise information security risk management. Appl Comput Inf 9(2):107–118. https://doi.org/10.1016/j.aci.2011.05.002

    Article  Google Scholar 

  41. Bakry SH (2003) Toward the development of a standard e-readiness assessment policy. Int J Netw Manage 13(2):129–137. https://doi.org/10.1002/nem.466

    Article  Google Scholar 

  42. Baskarada S, Koronios A, Gao J (2007) IQM-CMM: a framework for assessing organizational information quality management capability maturity

    Google Scholar 

  43. Weber RH (2010) Internet of things – new security and privacy challenges. Comput. Law Secur Rev 26(1):23–30. https://doi.org/10.1016/j.clsr.2009.11.008

    Article  Google Scholar 

  44. Michael PP, Chris DN, Hui W, Liming C (2011) Smart home research: projects and issues. In: Ubiquitous developments in ambient computing and intelligence: human-centered applications. IGI Global, Hershey, pp 259–272

    Google Scholar 

  45. Pishva D (2017) Internet of things: security and privacy issues and possible solution. In: 2017 19th international conference on advanced communication technology (ICACT). IEEE, pp 797–808

    Google Scholar 

  46. Wang RY, Strong DM (1996) Beyond accuracy: what data quality means to data consumers. J Manage Inf Syst 12(4):5–33

    Article  Google Scholar 

  47. Redman TC (1998) The impact of poor data quality on the typical enterprise. Commun ACM 41(2):79–82. https://doi.org/10.1145/269012.269025

    Article  Google Scholar 

  48. Karkouch A, Mousannif H, Al Moatassime H, Noel T (2016) Data quality in internet of things: a state-of-the-art survey. J Netw Comput Appl 73:57–81. https://doi.org/10.1016/j.jnca.2016.08.002

    Article  Google Scholar 

  49. McDermott CM, Stock GN (1999) Organizational culture and advanced manufacturing technology implementation. J Oper Manage 17(5):521–533. https://doi.org/10.1016/S0272-6963(99)00008-X

    Article  Google Scholar 

  50. Wakabayashi D (2018) Self-driving uber car kills pedestrian in Arizona, where robots Roam. The New York Times (2018)

    Google Scholar 

  51. Marr B (2015) That’s data science: airbus puts 10,000 sensors in every single wing!

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of South Australia, GPO Box 2471, Adelaide, 5001, Australia

    Wei Jye Seo & Nina Evans

Authors
  1. Wei Jye Seo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nina Evans
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wei Jye Seo .

Editor information

Editors and Affiliations

  1. Department of Industrial Management, University of Seville, Seville, Spain

    Adolfo Crespo Márquez

  2. Hydro-Quebec, Varennes, QC, Canada

    Dragan Komljenovic

  3. Graduate School of Technology Management, University of Pretoria, Pretoria, South Africa

    Joe Amadi-Echendu

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Seo, W.J., Evans, N. (2021). Internet of Things Adoption Challenges in Enterprise Asset Management Organisations. In: Crespo Márquez, A., Komljenovic, D., Amadi-Echendu, J. (eds) 14th WCEAM Proceedings. WCEAM 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-64228-0_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-64228-0_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64227-3

  • Online ISBN: 978-3-030-64228-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation