Hierarchical framework for analysing the challenges of implementing industrial Internet of Things in manufacturing industries using ISM approach | International Journal of System Assurance Engineering and Management Skip to main content

Advertisement

Springer Nature Link
Log in

Hierarchical framework for analysing the challenges of implementing industrial Internet of Things in manufacturing industries using ISM approach

  • Original article
  • Published:
International Journal of System Assurance Engineering and Management Aims and scope Submit manuscript

Abstract

The integration of smart devices in the manufacturing section has brought along disruptions in the production processes. The existing literature in the field of IIoT and Industry 4.0 have focused much on the technical aspects of the network design and development, however, there is a substantial gap in examining the challenges of implementation of IIoT techniques, especially in context to India. This paper presents an exhaustive analysis and categorization of the challenges faced by the manufacturing sector in the implementation of the Industrial Internet of Things (IIoT). Challenges were categorized into technical and organizational challenges with the help of experts. The paper aims to attain a hierarchical structure, which will further be helpful to policymakers to identify the most critical challenge allowing them to make a well-versed decision. The results of this study are expected to highlight the key challenge wherein the industry and researchers can focus their strategic efforts. This will facilitate the address of implicit issues while implementing IIoT Techniques in the manufacturing industry.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Ali SM, Arafin A, Moktadir M, Rahman T, Zahan N (2018) Barriers to reverse logistics in the computer supply chain using an interpretive structural model. Glob J Flex Syst Manag 19(1):53–68

    Article  Google Scholar 

  • AlSuwaidan L (2020) The role of data management in the Industrial Internet of Things. Concurr Comput: Pract Exp 33:e6031

    Google Scholar 

  • Arnold C, Kiel D, Voigt KI (2016) How the industrial internet of things changes business models in different manufacturing industries. Int J Innov Manag 20(08):1640015

    Article  Google Scholar 

  • Attri R (2017) Interpretive structure modelling: a comprehensive literature review on applications. Int J Six Sigma Compet Adv 10(3–4):258–331

    Google Scholar 

  • Brettel M, Friederichsen N, Keller M, Rosenberg M (2014) How virtualization, decentralization and network building change the manufacturing landscape: an industry 4.0 perspective. Int J Inform Commun Eng 8(1):37–44

    Google Scholar 

  • Dalvi-Esfahani M, Ramayah T, Nilashi M (2017) Modelling upper echelons’ behavioural drivers of Green IT/IS adoption using an integrated interpretive structural modellingeanalytic network process approach. Telematics Inf 34(2):583e603

    Google Scholar 

  • Daugherty P, Banerjee P, Negm W, Alter AE (2015) Driving unconventional growth through the industrial internet of things. Accenture Technology

  • Gilchrist A (2016) Industry 4.0: the industrial internet of things. Apress, New york

    Book  Google Scholar 

  • Guo Y, Zhao Z, He K, Lai S, Xia J, Fan L (2021) Efficient and flexible management for industrial Internet of Things: a federated learning approach. Comput Netw 192:108122

    Article  Google Scholar 

  • Haaker T, Ly PTM, Nguyen-Thanh N, Nguyen HTH (2021) Business model innovation through the application of the Internet-of-Things: a comparative analysis. J Bus Res 126:126–136

    Article  Google Scholar 

  • Hartmann M, Halecker B (2015) Management of innovation in the industrial internet of things. In ISPIM Conference Proceedings (p. 1). The International Society for Professional Innovation Management (ISPIM)

  • Hasan Z, Dhir S, Dhir S (2019) Modified total interpretive structural modelling (TISM) of asymmetric motives and its drivers in Indian bilateral CBJV. Benchmarking: An International Journal

  • Jaidka H, Sharma N, Singh R (2020) Evolution of IoT to IIoT: applications & challenges. In Proceedings of the International Conference on Innovative Computing & Communications (ICICC)

  • Janssen M, Luthra S, Mangla S, Rana NP, Dwivedi YK (2019) Challenges for adopting and implementing IoT in smart cities: An integrated MICMAC-ISM approach. Internet Research

  • Kagermann H, Lukas W, Wahlster W (2011) Industry 4.0: with the internet of things on the way to the 4th industrial revolution. VDI news, 13

  • Kapur PK, Pham H, Gupta A, Jha PC (2011) Software reliability assessment with OR applications. Springer, London, p 364

    Book  Google Scholar 

  • Khan WZ, Rehman MH, Zangoti HM, Afzal MK, Armi N, Salah K (2020) Industrial internet of things: Recent advances, enabling technologies and open challenges. Comput Electr Eng 81:106522

    Article  Google Scholar 

  • Khan A, Turowski K (2016) A perspective on industry 4.0: From challenges to opportunities in production systems. In International Conference on Internet of Things and Big Data (Vol. 2, pp. 441–448). SCITEPRESS

  • Kumar AS, Iyer E (2019) An industrial IoT in engineering and manufacturing industries–benefits and challenges. Int J Mech Prod Eng Res Dev (IJMPERD) 9(2):151–160

    Google Scholar 

  • Laudien SM, Daxböck B (2020a) The influence of the industrial Internet of Things on business model design: a qualitative-empirical analysis. In Digital Disruptive Innovation (pp. 271–303)

  • Laudien SM, Daxböck B (2020b) The influence of the industrial Internet of Things on business model design: a qualitative-empirical analysis. In Digital Disruptive Innovation (pp. 271–303).

  • Luthra S, Kumar S, Kharb R, Ansari MF, Shimmi SL (2014) Adoption of smart grid technologies: an analysis of interactions among barriers. Renew Sustain Energy Rev 33:554–565

    Article  Google Scholar 

  • Mathivathanan D, Agarwal V, Mathiyazhagan K, Saikouk T, Appolloni A (2022) Modeling the pressures for sustainability adoption in the Indian automotive context. J Clean Prod 342:130972

    Article  Google Scholar 

  • Mumtaz S, Bo A, Al-Dulaimi A, Tsang KF (2018) Guest editorial 5G and beyond mobile technologies and applications for industrial IoT (IIoT). IEEE Trans Industr Inf 14(6):2588–2591

    Article  Google Scholar 

  • Munirathinam S (2020) Industry 4.0: Industrial internet of things (IIOT). In Advances in computers (pp. 129–164) Elsevier

  • Oesterreich TD, Teuteberg F (2016) Understanding the implications of digitisation and automation in the context of Industry 4.0: a triangulation approach and elements of a research agenda for the construction industry. Comput Ind 83:121–139

    Article  Google Scholar 

  • Pisano GP (2015) You need an innovation strategy. Harv Bus Rev 93(6):44–54

    Google Scholar 

  • Pivoto DG, de Almeida LF, da Rosa Righi R, Rodrigues JJ, Lugli AB, Alberti AM (2021) Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: a literature review. J Manuf Syst 58:176–192

    Article  Google Scholar 

  • Rajput S, Singh SP (2019) Identifying industry 4.0 IoT enablers by integrated PCA-ISM-DEMATEL approach. Management Decision

  • Sadeghi AR, Wachsmann C, Waidner M (2015) Security and privacy challenges in industrial internet of things. In 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC) (pp. 1–6). IEEE

  • Sari A, Lekidis A, Butun I (2020) Industrial networks and IIoT: now and future trends In Industrial IoT. Springer, Cham, pp 3–55

    Book  Google Scholar 

  • Scarfò A (2018) The cyber security challenges in the IoT era. In security and resilience in intelligent data-centric systems and communication networks. Academic Press, USA, pp 53–76

    Google Scholar 

  • Sengupta J, Ruj S, Bit SD (2020) A comprehensive survey on attacks, security issues and blockchain solutions for IoT and IIoT. J Netw Comput Appl 149:102481

    Article  Google Scholar 

  • Serror M, Hack S, Henze M, Schuba M, Wehrle K (2020) Challenges and opportunities in securing the industrial internet of things. IEEE Trans Industr Inf 17(5):2985–2996

    Article  Google Scholar 

  • Sharma A, Singh A, Sharma N, Kaushik I, Bhushan B (2019) Security Countermeasures in Web Based Application. 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). Doi: https://doi.org/10.1109/icicict46008.2019.8993141

  • Singh R, Bhanot N (2020) An integrated DEMATEL-MMDE-ISM based approach for analysing the barriers of IoT implementation in the manufacturing industry. Int J Prod Res 58(8):2454–2476

    Article  Google Scholar 

  • Sisinni E, Saifullah A, Han S, Jennehag U, Gidlund M (2018) Industrial internet of things: challenges, opportunities, and directions. IEEE Trans Industr Inf 14(11):4724–4734

    Article  Google Scholar 

  • Stock T, Seliger G (2016) Opportunities of sustainable manufacturing in industry 4.0. Procedia Cirp 40:536–541

    Article  Google Scholar 

  • Tesch JF, Brillinger AS, Bilgeri D (2017) Internet of things business model innovation and the stage-gate process: an exploratory analysis. Int J Innov Manag 21(05):1740002

    Article  Google Scholar 

  • Vimal KEK, Agarwal V, Mathiyazhagan K (2022) Barriers in the adoption of buyback schemes for used plastic packaging material–a contextual relationship analysis. Resour Conserv Recycl 178:106084

    Article  Google Scholar 

  • Yadav VS, Singh AR, Raut RD, Govindarajan UH (2020) Blockchain technology adoption barriers in the Indian agricultural supply chain: an integrated approach. Resour Conserv Recycl 161:104877

    Article  Google Scholar 

  • Younan M, Houssein EH, Elhoseny M, Ali AA (2020) Challenges and recommended technologies for the industrial internet of things: a comprehensive review. Measurement 151:107198

    Article  Google Scholar 

  • Yu X, Nguyen B, Chen Y (2016) Internet of things capability and alliance: entrepreneurial orientation, market orientation and product and process innovation. Internet Res 26:402

    Article  Google Scholar 

  • Zhou L, Wu D, Chen J, Dong Z (2017) When computation hugs intelligence: content-aware data processing for industrial IoT. IEEE Internet Things J 5(3):1657–1666

    Article  Google Scholar 

  • Ziegeldorf JH, Morchon OG, Wehrle K (2014) Privacy in the Internet of Things: threats and challenges. Secur Commun Netw 7(12):2728–2742

    Article  Google Scholar 

Download references

Funding

Not Applicable.

Author information

Authors and Affiliations

  1. Amity International Business School, Amity University, Noida, Uttar-Pradesh, India

    Snigdha Malhotra & Vernika Agarwal

  2. Amity Center for Inter-Disciplinary Research, Amity University, Noida, Uttar-Pradesh, India

    P. K. Kapur

Authors
  1. Snigdha Malhotra
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Vernika Agarwal
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. P. K. Kapur
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Vernika Agarwal.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Malhotra, S., Agarwal, V. & Kapur, P.K. Hierarchical framework for analysing the challenges of implementing industrial Internet of Things in manufacturing industries using ISM approach. Int J Syst Assur Eng Manag 13, 2356–2370 (2022). https://doi.org/10.1007/s13198-022-01648-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13198-022-01648-8

Keywords