Skip to main content

Industry 4.0 Data-Related Technologies and Servitization: A Systematic Literature Review

  • Conference paper
  • First Online:
Advances in Production Management Systems. Towards Smart and Digital Manufacturing (APMS 2020)

Abstract

The advancements and adoption of digital technologies enable manufacturers to approach intelligent production and reach a higher level of automation in the wave of Industry 4.0. Even though manufacturing is at the center of this industrial revolution, the impact of digital technologies is more far-reaching: indeed, one of the biggest growth potentials is recognized in the paradigm shift from a traditional product orientation to the provision of bundled solutions. Particularly the possibility to gather and analyze data has been recognized as a key enabler for the advancement of the product-services offering. In this view, the research presented a systematic literature review exploring the state of the art considering on one side the newest technologies related to data and digitalization and on the other side servitization, aiming at understanding the point of contact between them. Four different perspectives have been identified and discussed and possible research directions have been proposed.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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. Kagermann, H., Wahlster, W., Helbig, J.: Securing the future of German manufacturing industry: recommendations for implementing the strategic initiative INDUSTRIE 4.0. Final report of the Industrie 4.0 working group (2013)

    Google Scholar 

  2. Kamp, B., Ochoa, A., Diaz, J.: Smart servitization within the context of industrial user–supplier relationships: contingencies according to a machine tool manufacturer. Int. J. Interact. Des. Manuf. (IJIDeM) 11(3), 651–663 (2016). https://doi.org/10.1007/s12008-016-0345-0

    Article  Google Scholar 

  3. Baines, T., et al.: State-of-the-art in product-service systems. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 221(10), 1543–1552 (2007)

    Google Scholar 

  4. Ardolino, M., Saccani, N., Gaiardelli, P., Rapaccini, M.: Exploring the key enabling role of digital technologies for PSS offerings. Procedia CIRP 47, 561–566 (2016)

    Google Scholar 

  5. Lee, J., Kao, H.A., Yang, S.: Service innovation and smart analytics for Industry 4.0 and big data environment. Procedia CIRP 16, 3–8 (2014)

    Google Scholar 

  6. Belvedere, V., Grando, A., Bielli, P.: A quantitative investigation of the role of information and communication technologies in the implementation of a product-service system. Int. J. Prod. Res. 51(2), 410–426 (2013)

    Google Scholar 

  7. Frank, A.G., Mendes, G.H.S., Ayala, N.F., Ghezzi, A.: Servitization and Industry 4.0 convergence in the digital transformation of product firms: a business model innovation perspective. Technol. Forecast. Soc. Change 141, 341–351 (2019)

    Google Scholar 

  8. Goodwin, G.M., Geddes, J.R.: Introduction to systematic reviews. J. Psychopharmacol. 18, 249–250 (2004)

    Google Scholar 

  9. Light, R.J., Pillemer, D.B.: Summing Up the Science of Reviewing Research. Harvard Business Press, Boston (1984)

    Google Scholar 

  10. Cook, D.J., Mulrow, C.D., Haynes, R.B.: Systematic reviews: synthesis of best evidence for clinical decisions. Ann. Intern. Med. 126(5), 376–380 (1997)

    Google Scholar 

  11. Moher, D., Liberati, A., Tetzlaff, J., Altman, D.: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 6(7), 264–269 (2009)

    Google Scholar 

  12. Giusto, D., Iera, A., Morabito, G., Atzori, L.: The Internet of Things. Springer, New York (2010). https://doi.org/10.1007/978-1-4419-1674-7

    Book  MATH  Google Scholar 

  13. Buxmann, P., Hess, T., Ruggaber, R.: Internet of services. Bus. Inf. Syst. Eng. 1(5), 341–342 (2009)

    Google Scholar 

  14. Kagermann, H.: Change through digitization—value creation in the age of industry 4.0. In: Albach, H., Meffert, H., Pinkwart, A., Reichwald, R. (eds.) Management of Permanent Change, pp. 23–45. Springer, Wiesbaden (2015). https://doi.org/10.1007/978-3-658-05014-6_2

    Chapter  Google Scholar 

  15. Chen, H., Storey, V.C.: Business intelligence and analytics: from big data to big impact. MIS Q. Manag. Inf. Syst. 36(4), 1165–1188 (2012)

    Google Scholar 

  16. Wamba, S.F., Akter, S., Edwards, A., Chopin, G., Gnanzou, D.: How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study. Int. J. Prod. Econ. 165, 234–246 (2015)

    Google Scholar 

  17. Demirkan, H., Delen, D.: Leveraging the capabilities of service-oriented decision support systems: putting analytics and big data in cloud. Decis. Support Syst. 55(1), 412–421 (2013)

    Google Scholar 

  18. Nixon, P.A., Wagealla, W., English, C., Terzis, S.: Security, privacy and trust issues in smart environments. In: Cook, D.J., Das, S.K. (eds.) Smart Environments, pp. 249–270. Wiley, Hoboken (2005)

    Google Scholar 

  19. Lerch, C., Gotsch, M.: Digitalized product-service systems in manufacturing firms: a case study analysis. Res. Technol. Manag. 58(5), 45–52 (2015)

    Google Scholar 

  20. Kindström, D., Kowalkowski, C.: Service innovation in product-centric firms: a multidimensional business model perspective. J. Bus. Ind. Mark. 29(2), 96–111 (2014)

    Google Scholar 

  21. Coreynen, W., Matthyssens, P., Van Bockhaven, W.: Boosting servitization through digitization: pathways and dynamic resource configurations for manufacturers. Ind. Mark. Manag. 60, 42–53 (2017)

    Google Scholar 

  22. Vendrell-Herrero, F., Bustinza, O.F., Parry, G., Georgantzis, N.: Servitization, digitization and supply chain interdependency. Ind. Mark. Manag. 60(1), 69–81 (2017)

    Google Scholar 

  23. Heinis, T.B., Loy, C.L., Meboldt, M.: Improving usage metrics for pay-per-use pricing with IoT technology and machine learning: IoT technology and machine learning can identify and capture advanced metrics that make pay-per-use servitization models viable for a wider range of applications. Res. Technol. Manag. 61(5), 32–40 (2018)

    Google Scholar 

  24. Sambit, L., Vinit, P., Joakim, W.: Digitalization capabilities as enablers of value co-creation in servitizing firms. Psycol. Mark. 34(1), 92–100 (2016)

    Google Scholar 

  25. Anke, J.: Design-integrated financial assessment of smart services. Electron. Mark. 29(1), 19–35 (2019)

    Google Scholar 

  26. Demirkan, H.: Innovations with smart service systems: analytics, big data, cognitive assistance, and the internet of everything. Commun. Assoc. Inf. Syst. 37, 35 (2015)

    Google Scholar 

  27. Wiegard, R.B., Breitner, M.H.: Smart services in healthcare: a risk-benefit-analysis of pay-as-you-live services from customer perspective in Germany. Electron. Mark. 29(1), 107–123 (2019)

    Google Scholar 

  28. Chouk, I., Mani, Z.: Factors for and against resistance to smart services: role of consumer lifestyle and ecosystem related variables. J. Serv. Mark. 33(4), 449–462 (2019)

    Google Scholar 

  29. De, E., et al.: Business process support for IoT based product-service systems (PSS). Bus. Process Manag. J. 22(2), 263–270 (2016)

    Google Scholar 

  30. Zheng, P., Lin, T.J., Chen, C.H., Xu, X.: A systematic design approach for service innovation of smart product-service systems. J. Clean. Prod. 201, 657–667 (2018)

    Google Scholar 

  31. Mani, Z., Chouk, I.: Consumer resistance to innovation in services: challenges and barriers in the Internet of Things era. J. Prod. Innov. Manag. 35(5), 780–807 (2018)

    Google Scholar 

  32. Boldosova, V.: Telling stories that sell: the role of storytelling and big data analytics in smart service sales. Ind. Mark. Manag. 86, 122–134 (2020)

    Google Scholar 

  33. Opresnik, D., Taisch, M.: The value of big data in servitization. Int. J. Prod. Econ. 165, 174–184 (2015)

    Google Scholar 

  34. Burzlaff, F., Wilken, N., Bartelt, C., Stuckenschmidt, H.: Semantic interoperability methods for smart service systems: a survey. IEEE Trans. Eng. Manag. 1–15 (2019)

    Google Scholar 

  35. Shin, H., Jeon, B., Park, J.W.: Method to design and analyze an interactive product based on design elements for creating an IoT-based service. Int. J. Smart Home 10(10), 229–238 (2016)

    Google Scholar 

  36. Helfert, M., Ge, M.: Perspectives of big data quality in smart service ecosystems (quality of design and quality of conformance). J. Inf. Technol. Manag. 10(4), 72–83 (2019)

    Google Scholar 

  37. Ostrom, A.L., Parasuraman, A., Bowen, D.E., Patrício, L., Voss, C.A.: Service research priorities in a rapidly changing context. J. Serv. Res. 18(2), 127–159 (2015)

    Google Scholar 

  38. Maleki, E., et al.: Ontology-based framework enabling smart product-service systems: application of sensing systems for machine health monitoring. IEEE Internet Things J. 5(6), 4496–4505 (2018)

    Google Scholar 

  39. Shao, S., Xu, G., Li, M.: The design of an IoT-based route optimization system: a smart product-service system (SPSS) approach. Adv. Eng. Inform. 42, 101006 (2019)

    Google Scholar 

  40. Verdugo Cedeño, J.M., Papinniemi, J., Hannola, L., Donoghue, I.D.M.: Developing smart services by Internet of Things in manufacturing business. DEStech Trans. Eng. Technol. Res. (icpr) 14, 59–71 (2018)

    Google Scholar 

  41. Kamp, B., Ochoa, A., Diaz, J.: Smart servitization within the context of industrial user–supplier relationships: contingencies according to a machine tool manufacturer. Int. J. Interact. Des. Manuf. 11(3), 651–663 (2017)

    Google Scholar 

  42. Rymaszewska, A., Helo, P., Gunasekaran, A.: IoT powered servitization of manufacturing – an exploratory case study. Int. J. Prod. Econ. 192, 92–105 (2017)

    Google Scholar 

  43. Basirati, M.R., Weking, J., Hermes, S., Böhm, M., Krcmar, H.: Exploring opportunities of IoT for product-service system conceptualization and implementation. Asia Pac. J. Inf. Syst. 29(3), 524–546 (2019)

    Google Scholar 

  44. Zhang, Q., Lu, X., Peng, Z., Ren, M.: Perspective: a review of lifecycle management research on complex products in smart-connected environments. Int. J. Prod. Res. 57(21), 6758–6779 (2019)

    Google Scholar 

  45. Li, Z., Barenji, A.V., Huang, G.Q.: Toward a blockchain cloud manufacturing system as a peer to peer distributed network platform. Robot. Comput. Integr. Manuf. 54, 133–144 (2018)

    Google Scholar 

  46. Liu, B., Zhang, Y., Zhang, G., Zheng, P.: Edge-cloud orchestration driven industrial smart product-service systems solution design based on CPS and IIoT. Adv. Eng. Inform. 42, 100984 (2019)

    Google Scholar 

  47. Rasouli, M.R.: An architecture for IoT-enabled intelligent process-aware cloud production platform: a case study in a networked cloud clinical laboratory. Int. J. Prod. Res 58(12), 3765–3780 (2019)

    Google Scholar 

  48. Yan, J., Ma, Y., Wang, L., Choo, K.K.R., Jie, W.: A cloud-based remote sensing data production system. Future Gener. Comput. Syst. 86, 1154–1166 (2018)

    Google Scholar 

  49. Tao, F., Qi, Q.: New IT driven service-oriented smart manufacturing: framework and characteristics. IEEE Trans. Syst. Man Cybern. Syst. 49(1), 81–91 (2019)

    Google Scholar 

  50. Valilai, O.F., Houshmand, M.: A collaborative and integrated platform to support distributed manufacturing system using a service-oriented approach based on cloud computing paradigm. Robot. Comput. Integr. Manuf. 29(1), 110–127 (2013)

    Google Scholar 

  51. Ren, L., Zhang, L., Tao, F., Zhao, C., Chai, X., Zhao, X.: Cloud manufacturing: from concept to practice. Enterp. Inf. Syst. 9(2), 186–209 (2015)

    Google Scholar 

  52. Wang, X., Durugbo, C.: Analysing network uncertainty for industrial product-service delivery: a hybrid fuzzy approach. Expert Syst. Appl. 40(11), 4621–4636 (2013)

    Google Scholar 

  53. Preuveneers, D., Ilie-Zudor, E.: The intelligent industry of the future: a survey on emerging trends, research challenges and opportunities in Industry 4.0. J. Ambient Intell. Smart Environ. 9(3), 287–298 (2017)

    Google Scholar 

  54. Holler, J., Tsiatsis, V., Mulligan, C.: Toward a machine intelligence layer for diverse industrial IoT use cases. IEEE Intell. Syst. 32(4), 64–71 (2017)

    Google Scholar 

  55. Zhang, Y., Liu, S., Liu, Y., Li, R.: Smart box-enabled product–service system for cloud logistics. Int. J. Prod. Res. 54(22), 6693–6706 (2016)

    Google Scholar 

  56. Nivedha, R.: Service oriented network virtualization. Int. J. Res. Appl. Sci. Eng. Technol. (IJRASET) 4(XI), 497–501 (2016)

    Google Scholar 

  57. Li, Z., Huang, G.Q., Fang, J., Qu, T.: Ontology-based dynamic alliance services (ODAS) in production service system. Int. J. Comput. Integr. Manuf. 27(2), 148–164 (2014)

    Google Scholar 

  58. Zhang, F., Jiang, P., Zhu, Q., Cao, W.: Modeling and analyzing of an enterprise collaboration network supported by service-oriented manufacturing. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 226(9), 1579–1593 (2012)

    Google Scholar 

  59. Li, Z., Liu, G., Liu, L., Lai, X., Xu, G.: IoT-based tracking and tracing platform for prepackaged food supply chain. Ind. Manag. Data Syst. 117(9), 1906–1916 (2017)

    Google Scholar 

  60. Rezaei, M., Shirazi, M.A., Karimi, B.: IoT-based framework for performance measurement: a real-time supply chain decision alignment. Ind. Manag. Data Syst. 117(4), 688–712 (2017)

    Google Scholar 

  61. Loukis, E., Kyriakou, N., Pazalos, K., Popa, S.: Inter-organizational innovation and cloud computing. Electron. Commer. Res. 17(3), 379–401 (2017). https://doi.org/10.1007/s10660-016-9239-2

    Article  Google Scholar 

  62. Curtin, J.P., Gaffney, R.L., Riggins, F.J.: Identifying business value using the RFID e-Valuation Framework. Int. J. RF Technol. Res. Appl. 4(2), 71–91 (2013)

    Google Scholar 

  63. Kiritsis, D., Koukias, A., Nadoveza, D.: ICT supported lifecycle thinking and information integration for sustainable manufacturing. Int. J. Sustain. Manuf. 3(3), 229 (2015)

    Google Scholar 

  64. Long, Q.: A framework for data-driven computational experiments of inter-organizational collaborations in supply chain networks. Inf. Sci. (Ny) 399, 43–63 (2017)

    Google Scholar 

  65. Stefan, I., Aldea, C.L., Nechifor, C.S.: Web platform architecture for ambient assisted living. J. Ambient Intell. Smart Environ. 10(1), 35–47 (2018)

    Google Scholar 

  66. Sikeridis, D., Rimal, B.P., Papapanagiotou, I., Devetsikiotis, M.: Unsupervised crowd-assisted learning enabling location-aware facilities. IEEE Internet Things J. 5(6), 4699–4713 (2018)

    Google Scholar 

  67. Hussein, D., Han, S.N., Lee, G.M., Crespi, N., Bertin, E.: Towards a dynamic discovery of smart services in the social internet of things. Comput. Electr. Eng. 58, 429–443 (2017)

    Google Scholar 

  68. Bui, N., Castellani, A.P., Casari, P., Zorzi, M.: The internet of energy: a web-enabled smart grid system. IEEE Netw. 26, 39–45 (2012)

    Google Scholar 

  69. Seungcheon, K.: Smart pet care system using internet of things. Int. J. Smart Home 10(3), 211–218 (2016)

    Google Scholar 

  70. Corradi, A., et al.: Smart appliances and RAMI 4.0: management and servitization of ice cream machines. IEEE Trans. Ind. Inform. 15(2), 1007–1016 (2019)

    Google Scholar 

  71. Ganapathy, K., Vaidehi, V., Poorani, D.: Sensor based efficient decision making framework for remote healthcare. J. Ambient Intell. Smart Environ. 7(4), 461–481 (2015)

    Google Scholar 

  72. Mohammadi, M., Al-Fuqaha, A., Guizani, M., Oh, J.S.: Semisupervised deep reinforcement learning in support of IoT and smart city services. IEEE Internet Things J. 5(2), 624–635 (2018)

    Google Scholar 

  73. Preuveneers, D., Joosen, W.: Security and privacy controls for streaming data in extended intelligent environments. J. Ambient Intell. Smart Environ. 8(4), 467–483 (2016)

    Google Scholar 

  74. Zhou, C., Liu, X., Xue, F., Bo, H., Li, K.: Research on static service BOM transformation for complex products. Adv. Eng. Inform. 36(2), 146–162 (2018)

    Google Scholar 

  75. Zhu, M., Cao, J., Cai, Z., He, Z., Xu, M.: Providing flexible services for heterogeneous vehicles: an NFV-based approach. IEEE Netw. 30(3), 64–71 (2016)

    Google Scholar 

  76. Takenaka, T., Koshiba, H., Motomura, Y., Ueda, K.: Product/service variety strategy considering mixed distribution of human lifestyles. CIRP Ann. - Manuf. Technol. 62(1), 463–466 (2013)

    Google Scholar 

  77. Zhang, X., Guo, X., Guo, F., Lai, K.H.: Nonlinearities in personalization-privacy paradox in mHealth adoption: the mediating role of perceived usefulness and attitude. Technol. Health Care 22(4), 515–529 (2014)

    Google Scholar 

  78. Walsh, L., McLoone, S.: Non-contact under-mattress sleep monitoring. J. Ambient Intell. Smart Environ. 6(4), 385–401 (2014)

    Google Scholar 

  79. Demizu, H., Harano, Y., Hirata, M., Sakaguchi, K.: New approach to product development based on service design process: next-generation event management solution ‘EXBOARD’. Fujitsu Sci. Tech. J. 54(1), 52–57 (2018)

    Google Scholar 

  80. Solima, L., Della Peruta, M.R., Maggioni, V.: Managing adaptive orientation systems for museum visitors from an IoT perspective. Bus. Process Manag. J. 22(2), 285–304 (2016)

    Google Scholar 

  81. Georgakopoulos, D., Jayaraman, P.P.: Internet of Things: from internet scale sensing to smart services. Computing 98(10), 1041–1058 (2016)

    MathSciNet  Google Scholar 

  82. Ray, P.P.: Internet of things for smart agriculture: technologies, practices and future direction. J. Ambient Intell. Smart Environ. 9(4), 395–420 (2017)

    Google Scholar 

  83. Fragidis, L.L., Chatzoglou, P.D., Aggelidis, V.P.: Integrated nationwide electronic health records system: semi-distributed architecture approach. Technol. Health Care 24(6), 827–842 (2016)

    Google Scholar 

  84. Riel, A., Kreiner, C., Macher, G., Messnarz, R.: Integrated design for tackling safety and security challenges of smart products and digital manufacturing. CIRP Ann. - Manuf. Technol. 66(1), 177–180 (2017)

    Google Scholar 

  85. Abosaq, N.H.: Impact of privacy issues on smart city services in a model smart city. Int. J. Adv. Comput. Sci. Appl. 10(2), 177–185 (2019)

    Google Scholar 

  86. Lee, J.S., Choi, S., Kwon, O.: Identifying multiuser activity with overlapping acoustic data for mobile decision making in smart home environments. Expert Syst. Appl. 81, 299–308 (2017)

    Google Scholar 

  87. Singh, H., Mallaiah, R., Yadav, G., Verma, N., Sawhney, A., Brahmachari, S.K.: iCHRCloud: web & mobile based child health imprints for smart healthcare. J. Med. Syst. 42(1), 1–12 (2017). https://doi.org/10.1007/s10916-017-0866-5

    Article  Google Scholar 

  88. Sung, W.T., Chang, K.Y.: Health parameter monitoring via a novel wireless system. Appl. Soft Comput. J. 22, 667–680 (2014)

    Google Scholar 

  89. Doran, M.A., Daniel, S.: Geomatics and smart city: a transversal contribution to the smart city development. Inf. Polity 19(1–2), 57–72 (2014)

    Google Scholar 

  90. Yan, M., et al.: Field microclimate monitoring system based on wireless sensor network. J. Intell. Fuzzy Syst. 35(2), 1325–1337 (2018)

    Google Scholar 

  91. Newman, K.E., Blei, M.: Evaluation of smart phones for remote control of a standard hospital room. Wirel. Pers. Commun. 75(2), 1005–1013 (2014). https://doi.org/10.1007/s11277-013-1404-5

    Article  Google Scholar 

  92. Takenaka, T., Yamamoto, Y., Fukuda, K., Kimura, A., Ueda, K.: Enhancing products and services using smart appliance networks. CIRP Ann. - Manuf. Technol. 65(1), 397–400 (2016)

    Google Scholar 

  93. Laubis, K., Konstantinov, M., Simko, V., Gröschel, A., Weinhardt, C.: Enabling crowdsensing-based road condition monitoring service by intermediary. Electron. Mark. 29(1), 125–140 (2019). https://doi.org/10.1007/s12525-018-0292-7

    Article  Google Scholar 

  94. Ramachandran, L., Narendra, N.C., Ponnalagu, K.: Dynamic provisioning in multi-tenant service clouds. Serv. Oriented Comput. Appl. 6(4), 283–302 (2012). https://doi.org/10.1007/s11761-012-0116-0

    Article  Google Scholar 

  95. Liu, S., Ju, Y., Wang, J., Yang, F., Ma, S., Wang, S.: Design of a smart after-service system for sugarcane harvesters based on product lifecycle. J. Eur. des Syst. Autom. 51, 239–257 (2018)

    Google Scholar 

  96. Yue, M., Hong, T., Wang, J.: Descriptive analytics-based anomaly detection for cybersecure load forecasting. IEEE Trans. Smart Grid 10(6), 5964–5974 (2019)

    Google Scholar 

  97. Adame, T., Bel, A., Carreras, A., Melià-Seguí, J., Oliver, M., Pous, R.: CUIDATS: an RFID–WSN hybrid monitoring system for smart health care environments. Future Gener. Comput. Syst. 78, 602–615 (2018)

    Google Scholar 

  98. Yoo, M.J., Grozel, C., Kiritsis, D.: Closed-loop lifecycle management of service and product in the internet of things: semantic framework for knowledge integration. Sensors (Switzerland) 16(7), 1053 (2016)

    Google Scholar 

  99. Shibata, T., Kurachi, Y.: Big data analysis solutions for driving innovation in on-site decision making. Fujitsu Sci. Tech. J. 51(2), 33–41 (2015)

    Google Scholar 

  100. Erguido, A., Marquez, A.C., Castellano, E., Parlikad, A.K., Izquierdo, J.: Asset management framework and tools for facing challenges in the adoption of product-service systems. IEEE Trans. Eng. Manag. 1–14 (2019)

    Google Scholar 

  101. Doyle, J., et al.: An integrated home-based self-management system to support the wellbeing of older adults. J. Ambient Intell. Smart Environ. 6(4), 359–383 (2014)

    Google Scholar 

  102. Park, W., Na, O., Chang, H.: An exploratory research on advanced smart media security design for sustainable intelligence information system. Multimed. Tools Appl. 75(11), 6059–6070 (2016)

    Google Scholar 

  103. Ojala, A.: Adjusting software revenue and pricing strategies in the era of cloud computing. J. Syst. Softw. 122, 40–51 (2016)

    Google Scholar 

  104. You, L., Tuncer, B., Zhu, R., Xing, H., Yuen, C.: A synergetic orchestration of objects, data, and services to enable smart cities. IEEE Internet Things J. 6(6), 10496–10507 (2019)

    Google Scholar 

  105. Sivamani, S., Bae, N., Cho, Y.: A smart service model based on ubiquitous sensor networks using vertical farm ontology. Int. J. Distrib. Sens. Netw. 9(12) (2013)

    Google Scholar 

Download references

Acknowledgement

This research is supported by the French region AURA, via the international project ‘Collaboration Franco-italienne pour une industrialisation durable des territoires’.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michela Zambetti .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zambetti, M., Pinto, R., Pezzotta, G. (2020). Industry 4.0 Data-Related Technologies and Servitization: A Systematic Literature Review. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Towards Smart and Digital Manufacturing. APMS 2020. IFIP Advances in Information and Communication Technology, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-030-57997-5_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-57997-5_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57996-8

  • Online ISBN: 978-3-030-57997-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics