Skip to main content
SpringerLink
Log in

Application of Latent Dirichlet Allocation Topic Model in Identifying 4IR Research Trends

  • Conference paper
  • First Online:
Emerging Technologies for Developing Countries (AFRICATEK 2022)

  • 102 Accesses

Abstract

The dynamic nature of the technologies associated with the fourth Industrial Revolution (4IR) presents complex scenarios for researchers, practitioners and policymakers alike. To this end, reaching decisions such as what technology to invest/train in could be made easier through a 4IR technology trend predictive tool. In this paper, we apply Latent Dirichlet Allocation (LDA) topic model to identify and predict trends in 4IR technologies. The LDA models were developed and trained using text composed of abstracts, titles and keywords retrieved from 11,7314-IR related to the 2012 to 2022 publications in the Web of Science database. The effectiveness of the resulting tool was then evaluated using text from email message distributed to subscribers of the IEEE’s Tccc-announce mailing list. From the results, our model correctly identifies trends in the following 4IR technologies and applications domains: Internet of Things, Artificial Intelligence/Machine Learning, Big Data/Data Analytics, Augmented Reality, Smart Manufacturing, Supply Chains, Sustainability and Circular Economy. By plotting and visualizing these trends over time (2019 to 2022), the validation text confirms our tool’s ability to identify the trajectory developments as identified by other similar tools such as Bibliometric Analysis.

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 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Lu, Y.: Industry 4.0: a survey on technologies, applications and open research issues. J. Ind. Inf. Integr. 6, 1–10 (2017)

    Google Scholar 

  2. Muhuri, P.K., Shukla, A.K., Abraham, A.: Industry 4.0: a bibliometric analysis and detailed overview. Eng. Appl. Artif. Intell. 78, 218–235 (2019)

    Google Scholar 

  3. Oztemel, E., Gursev, S.: Literature review of Industry 4.0 and related technologies. J. Intell. Manuf. 31(1), 127–182 (2018)

    Article  Google Scholar 

  4. Da Xu, L., Xu, E.L., Li, L.: Industry 4.0: state of the art and future trends. Int. J. Prod. Res. 56(8), 2941–2962 (2018)

    Article  MathSciNet  Google Scholar 

  5. Tao, F.: PM10 - Digital Twin shop-floor: a new shop-floor paradigm towards smart manufacturing. Robot. Comput. Integr. Manuf. 61, 10 (2017)

    Google Scholar 

  6. Kang, H.S., et al.: Smart manufacturing: past research, present findings, and future directions. Int. J. Precis. Eng. Manuf. Green Technol. 3(1), 111–128 (2016)

    Article  Google Scholar 

  7. Zhong, R.Y., Xu, X., Klotz, E., Newman, S.T.: Intelligent Manufacturing in the Context of Industry 4.0: a review. Engineering 3(5), 616–630 (2017)

    Article  Google Scholar 

  8. Monostori, L., et al.: Cyber-physical systems in manufacturing. CIRP Ann. 65(2), 621–641 (2016)

    Article  Google Scholar 

  9. Hofmann, E., Rüsch, M.: Industry 4.0 and the current status as well as future prospects on logistics. Comput. Ind. 89, 23–34 (2017)

    Article  Google Scholar 

  10. Ivanov, D., Dolgui, A., Sokolov, B.: The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. Int. J. Prod. Res. 57(3), 829–846 (2019)

    Article  Google Scholar 

  11. Ben-Daya, M., Hassini, E., Bahroun, Z.: Internet of things and supply chain management: a literature review. Int. J. Prod. Res. 57(15–16), 4719–4742 (2019)

    Article  Google Scholar 

  12. Maquera, G., Costa, B.B.F., Mendoza, Ó., Salinas, A., Haddad, A.N.: Intelligent Digital Platform for Community-Based Rural Tourism — A Novel Concept Development in Peru, pp. 1–18 (2022)

    Google Scholar 

  13. da Rocha, A.B.T., de Oliveira, K.B., Espuny, M., da M. Reis, J.S., Oliveira, O.J.: Business transformation through sustainability based on Industry 4.0’, Heliyon, vol. 8, no. July, p. e10015 (2022)

    Google Scholar 

  14. Kitsantas, T.: ‘Exploring blockchain technology and enterprise resource planning system: business and technical aspects, current problems, and future perspectives. Sustainability 14(13), 7633 (2022)

    Article  Google Scholar 

  15. Kumar, S., Raut, R.D., Agrawal, N., Cheikhrouhou, N., Sharma, M., Daim, T.: Technovation Integrated Blockchain and Internet of Things in the food supply chain: adoption barriers. Technovation 118, 102589 (2022)

    Google Scholar 

  16. Yetis, H., Karakose, M., Baygin, N.: Blockchain-based mass customization framework using optimized production management for Industry 4.0 applications. Eng. Sci. Technol. Int. J. 36, 101151 (2022)

    Google Scholar 

  17. Aivaliotis, S., et al.: An augmented reality software suite enabling seamless human robot interaction. Int. J. Comput. Integr. Manuf. 00(00), 1–27 (2022)

    Google Scholar 

  18. Omerali, M., Kaya, T.: Augmented reality application selection framework using spherical fuzzy COPRAS multi criteria decision making. Cogent Eng. 9(1), 1–38 (2022)

    Google Scholar 

  19. Tortorella, G.L., Prashar, A., Saurin, T.A., Fogliatto, F.S., Antony, J., Junior, G.C.: Impact of Industry 4.0 adoption on workload demands in contact centers. Hum. Factors Ergon. Manuf. 32, 406–418 (2022)

    Google Scholar 

  20. Nasir, A., Zakaria, N., Yusoff, R.Z.: Cogent business & management the influence of transformational leadership on organizational sustainability in the context of Industry 4.0: mediating role of innovative performance the influence of transformational leadership on organizational sustainab. Cogent Bus. Manag. 9(1), 0–31 (2022)

    Google Scholar 

  21. Grabowska, S., Saniuk, S., Gajdzik, B.: Industry 5.0: improving humanization and sustainability of Industry 4.0. Scientometrics 127(6), 3117–3144 (2022)

    Article  Google Scholar 

  22. Masinde, M., Phoobane, P., Brown, J.: Mkulima platform: an inclusive business platform ecosystem that integrates African Small-Scale Farmers into Agricultural Value Chain’. In: Sheikh, Y.H., Rai, I.A., Bakar, A.D. (eds.) e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2021. Lect. Notes Inst. Comput. Sci. Soc. Telecommun. Eng. LNICST, vol. 443 LNICST, pp. 397–419 (2022) https://doi.org/10.1007/978-3-031-06374-9_26

  23. Xie, X., Han, Y., Anderson, A., Ribeiro-Navarrete, S.: Digital platforms and SMEs’ business model innovation: exploring the mediating mechanisms of capability reconfiguration. Int. J. Inf. Manage. 65, 102513 (2022)

    Google Scholar 

  24. Rodrigues Dias, V.M., Jugend, D., de Camargo Fiorini, P., do A. Razzino, C., Paula Pinheiro, M.A.: Possibilities for applying the circular economy in the aerospace industry: Practices, opportunities and challenges. J. Air Transp. Manage. 102, 102227 (2022)

    Google Scholar 

  25. Cheah, C.G., Chia, W.Y., Lai, S.F., Chew, K.W., Chia, S.R., Show, P.L.: Innovation designs of Industry 4.0 based solid waste management: machinery and digital circular economy. Environ. Res. 213, 113619 (2022)

    Google Scholar 

  26. Pauna, V.H., Picone, F., Le Guyader, G., Buonocore, E., Franzese, P.P.: The scientific research on ecosystem services: a bibliometric analysis. Ecol. Quest. 29(3), 53–62 (2018)

    Google Scholar 

  27. Phoobane, P., Masinde, M., Mabhaudhi, T.: Predicting infectious diseases: a bibliometric review on Africa. Int. J. Environ. Res. Public Health 19(3), 1893 (2022)

    Article  Google Scholar 

  28. Shuttleworth, L., Schmitz, S., Beier, G.: Impacts of Industry 4.0 on industrial employment in Germany: a comparison of industrial workers ’ expectations and experiences from two surveys in 2014 and 2020. Prod. Manuf. Res. 10(1), 583–605 (2022)

    Google Scholar 

  29. Tian, T., Fang, Z.: Attention-based autoencoder topic model for short texts. Procedia Comput. Sci. 151, 1134–1139 (2019)

    Article  Google Scholar 

  30. Aly, M., Khomh, F., Yacout, S.: What do practitioners discuss about IoT and Industry 4.0 related technologies? Characterization and identification of IoT and Industry 4.0 categories in stack overflow discussions. Internet of Things (Netherlands) 14, 100364 (2021)

    Google Scholar 

  31. Dieng, A.B., Ruiz, F.J.R., Blei, D.M.: The Dynamic Embedded Topic Model, pp. 1–17 (2019)

    Google Scholar 

  32. Jelodar, H., et al.: Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey. Multimedia Tools Appl. 78(11), 15169–15211 (2018)

    Article  Google Scholar 

  33. Chang, J., Blei, D.M.: Relational topic models for document networks. In: Proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS) 2009, pp. 81–88 (2009)

    Google Scholar 

  34. Zhu, J., Ahmed, A., Xing, E.P.: MedLDA: maximum margin supervised topic models for regression and classification. In: Proceedings of the 26th International Conference on Machine Learning, pp. 1–8 (2009)

    Google Scholar 

  35. Zhu, J., Xing, E.P.: Maximum entropy discrimination Markov networks. J. Mach. Learn. Res. 10, 2531–2569 (2009)

    MathSciNet  MATH  Google Scholar 

  36. Lin, T., Lee, C.: Latent Dirichlet Allocation For Text And Image Topic Modeling, Na, pp. 1–6 (2013)

    Google Scholar 

  37. Goedecke, P.J.: Comparison of Methods for Choosing an Appropriate Number of Topics in an LDA Model, University of Memphis (2017)

    Google Scholar 

  38. Harandizadeh, B., Priniski, J.H. Morstatter, F.: Keyword assisted embedded topic model. In: WSDM 2022, pp. 372–380 (2021)

    Google Scholar 

  39. Hartung, A.F.: Computer Communications, Comput. (Long. Beach. Calif.) 6(2), 13 (1973)

    Google Scholar 

  40. van Eck, N.J., Waltman, L.: Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics 111(2), 1053–1070 (2017). https://doi.org/10.1007/s11192-017-2300-7

    Article  Google Scholar 

  41. van Eck, N.J., Waltman, L.: VOSviewer Manual. Univeristeit Leiden, Leiden (2013)

    Google Scholar 

  42. Thai, L., Trung, D., Van Le, H., Ngoc, G.: A bibliometric analysis of Research on Education 4.0 during the 2017–2021 period (2022)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Central University of Technology, Bloemfontein, Free State, South Africa

    Muthoni Masinde

Authors
  1. Muthoni Masinde
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Muthoni Masinde .

Editor information

Editors and Affiliations

  1. Central University of Technology, Free State, Bloemfontein, South Africa

    Muthoni Masinde

  2. University of the Western Cape, Cape Town, South Africa

    Antoine Bagula

Rights and permissions

Reprints and permissions

Copyright information

© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Masinde, M. (2023). Application of Latent Dirichlet Allocation Topic Model in Identifying 4IR Research Trends. In: Masinde, M., Bagula, A. (eds) Emerging Technologies for Developing Countries. AFRICATEK 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 503. Springer, Cham. https://doi.org/10.1007/978-3-031-35883-8_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-35883-8_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35882-1

  • Online ISBN: 978-3-031-35883-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation