Skip to main content

Ambient Intelligence in Business Environments and Internet of Things Transformation Guidelines

  • Chapter
  • First Online:
Guide to Ambient Intelligence in the IoT Environment

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

Ambient intelligence (AmI) is an emerging paradigm bringing intelligence into our lives with the help of intelligent interfaces and smart environments . AmI has the potential to affect our business environments significantly. With the help of AmI, we can find better ways to serve our customers and increase productivity. Internet of things (IoT) is a key enabling technology that provides the necessary infrastructure for ambient intelligence. In addition, ambient intelligence paradigm enhances the use and capabilities of IoT devices. As a result, businesses those want to benefit from this new paradigm and the relevant technologies need to build the necessary IoT infrastructure. In this study, our goal is to help the business and technical managers by developing an AmI enhanced business vision and managing an effective IoT transformation. In this chapter, we discuss an existing implementation of ambient intelligence in the business environment. Furthermore, we envision various future uses of AmI in business environments. We also present issues related to IoT technology transformations. In addition, we provide a set of guidelines, strategies, and best practices for business and IT managers for a successful IoT transformation leading to an ambient intelligence enhanced business environment. We divide the transformation issues into three categories: management issues, technical issues, and social issues. These issues are discussed in detail.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 59.99
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. Demir KA, CicibaÅŸ H (2018) The next industrial revolution: industry 5.0 and discussions on industry 4.0, industry 4.0 from the management information systems perspectives, Peter Lang Publishing Group

    Google Scholar 

  2. Demir KA, Cicibas H (2017) Industry 5.0 and a critique of industry 4.0. In: 4th international management information systems conference, Istanbul, Turkey, 17–20 Oct 2017

    Google Scholar 

  3. MacDougall W (2014) Industrie 4.0: Smart manufacturing for the future. Germany Trade & Invest. https://www.gtai.de/GTAI/Content/EN/Invest/_SharedDocs/Downloads/GTAI/Brochures/Industries/industrie4.0-smart-manufacturing-for-the-future-en.pdf. Accessed 15 June 2017

  4. Erkollar E, Oberer B (2016) Endüstri 4.0 Akıllı Üretim İçin Politika ve Programlara Ait Bir Örnek: Alman Akıllı Çözümleri. In: Tecim V, Tarhan Ç, Aydın C (eds) Smart technology & smart management, İzmir, Turkey

    Google Scholar 

  5. Gilchrist A (2016) Industry 4.0. Apress, Berkeley, CA, USA

    Google Scholar 

  6. Augusto JC (2009) Past, present and future of ambient intelligence and smart environments. In: International conference on agents and artificial intelligence, pp 3–15. Springer, Heidelberg

    Google Scholar 

  7. Cook DJ, Augusto JC, Jakkula VR (2009) Ambient intelligence: technologies, applications, and opportunities. Pervasive Mob Comput 5(4):277–298

    Article  Google Scholar 

  8. IST Advisory Group (2003) Ambient intelligence: from vision to reality, European Commission

    Google Scholar 

  9. Ramos C, Augusto JC, Shapiro D (2008) Ambient intelligence—the next step for artificial intelligence. IEEE Intell Syst 23(2):15–18

    Article  Google Scholar 

  10. Aarts E, Encarnação JL (2005) Into ambient intelligence. In: Aarts E, Encarnaçao J (eds) True visions: tales on the realization of ambient intelligence. Springer, Heidelberg

    Google Scholar 

  11. Augusto JC (2007) Ambient intelligence: the confluence of ubiquitous/pervasive computing and artificial intelligence. Intell Comput Everywhere, 213–234. Springer, London

    Google Scholar 

  12. Augusto JC, McCullagh P (2007) Ambient intelligence: concepts and applications. Comput Sci Inf Syst 4(1):1–27

    Article  Google Scholar 

  13. Norman D (1998) The invisible computer. The MIT Press, Cambridge

    Google Scholar 

  14. Weiser M (1991) The computer for the 21st century. Sci Am 265(3):94–104

    Article  Google Scholar 

  15. Remagnino P, Foresti GL (2005) Ambient intelligence: a new multidisciplinary paradigm. IEEE Trans Syst Man Cybern-Part A Syst Hum 35(1):1–6

    Article  Google Scholar 

  16. Zhang D, Zhao S, Yang LT, Chen M, Wang Y, Liu H (2015) NextMe: localization using cellular traces in internet of things. IEEE Trans Industr Inf 11(2):302–312

    Article  Google Scholar 

  17. Brooks K (2003) The context quintet: narrative elements applied to context awareness. In: Human-computer interaction international proceedings, vol 2003. Erlbaum Associates

    Google Scholar 

  18. Parimi GM, Kundu PP, Phoha VV (2018) Analysis of head and torso movements for authentication. In: 2018 IEEE 4th international conference on identity, security, and behavior analysis (ISBA). IEEE, pp 1–8

    Google Scholar 

  19. Lin CH, Ho PH, Lin HC (2014) Framework for NFC-based intelligent agents: a context-awareness enabler for social internet of things. Int J Distrib Sens Netw 10(2):978951

    Article  Google Scholar 

  20. Schiaffino S, Armentano M, Amandi A (2010) Building respectful interface agents. Int J Hum Comput Stud 68(4):209–222

    Article  Google Scholar 

  21. Lee F (2017) Ambient intelligence — the ultimate IoT use cases. https://medium.com/iotforall/ambient-intelligence-the-ultimate-iot-use-cases-5e854485e1e7

  22. Drucker PF, Wilson G (2001) The essential Drucker, vol 81. Butter-worth-Heinemann, Oxford

    Google Scholar 

  23. Demir KA, Ozkan BE (2015) Organizational change via social hubs: a computer simulation based analysis. Proc Soc Behav Sci 210:105–113

    Article  Google Scholar 

  24. Amazon Go. https://www.amazon.com/b?ie=UTF8&node=16008589011

  25. European commission’s information society technologies advisory group (EU ISTAG) (2001) Scenarios for ambient intelligence in 2010. Office for Official Publications of the European Communities, Luxembourg

    Google Scholar 

  26. Demir KA (2008) Measurement of software project management effectiveness. Doctoral dissertation, Naval Postgraduate School, Monterey

    Google Scholar 

  27. Demir KA (2009) A survey on challenges of software project management. In: Software engineering research and practice, pp 579–585

    Google Scholar 

  28. Task Force on Management of Technology (1987) National research council (U.S.) cross-disciplinary engineering research committee; national research council (U.S.) Manufacturing studies board: management of technology: the hidden competitive advantage. National Academy Press, Washington, Washington, D.C

    Google Scholar 

  29. Cicibas H, Demir KA (2016) Integrating Internet of Things (IoT) into enterprises: socio-technical issues and guidelines. Yönetim Bilişim Sist Derg (Management Information Systems Journal) 1(3):105–117

    Google Scholar 

  30. Thong JY, Yap CS, Raman KS (1996) Top management support, external expertise and information systems implementation in small businesses. Inf Syst Res 7(2):248–267

    Article  Google Scholar 

  31. Thong JY, Yap CS, Raman KS (1997) Environments for information systems implementation in small businesses. J Organ Comput Electron Commer 7(4):253–278

    Google Scholar 

  32. Keen PG (1981) Information systems and organizational change. Commun ACM 24(1):24–33

    Article  MathSciNet  Google Scholar 

  33. Bevir M (2012) Governance: a very short introduction. OUP Oxford, Oxford

    Google Scholar 

  34. Hufty M (2011) Investigating policy processes: the governance analytical framework (GAF). In: Wiesmann U, Hurni H et al (eds) Research for sustainable development: foundations, experiences, and perspectives. Geographica Bernensia, Bern, pp 403–424

    Google Scholar 

  35. Bassi A, Horn G (2008) Internet of things in 2020: a roadmap for the future. European Commission: Information Society and Media, Brussels, Belgium

    Google Scholar 

  36. Hewlett Packard Enterprise (2016) The internet of things: turning ordinary things into extraordinary business outcomes, Number: 4AA6-3316ENN, March 2016

    Google Scholar 

  37. Intel (2015) Integrating IoT sensor technology into the enterprise. White Paper, December 2015

    Google Scholar 

  38. Edmondson AC (2012) Teaming: how organizations learn, innovate, and compete in the knowledge economy. Wiley, San Francisco

    Google Scholar 

  39. Rayes A, Samer S (2017) Internet of things—from hype to reality. The road to digitization, vol 49. River Publisher Series in Communications, Denmark

    Google Scholar 

  40. Zhu M, Song F, Xu L, Seo JT, You I (2017) A dependable localization algorithm for survivable belt-type sensor networks. Sensors 17(12):2767

    Article  Google Scholar 

  41. Samad F, Memon ZA (2018) The future of internet: IPv6 fulfilling the routing needs in internet of things. Int J Futur Gener Commun Netw 11(1)

    Article  Google Scholar 

  42. Chelloug SA, El-Zawawy MA (2017) Middleware for internet of things: survey and challenges. Intell Autom Soft Comput 1–9

    Google Scholar 

  43. SAP (2014) Next-generation business and the internet of things. http://go.sap.com/documents/2013/10/02247623-0a7c-0010-82c7-eda71af511fa.html

  44. Kumar A, Holuszko M, Espinosa DCR (2017) E-waste: an overview on generation, collection, legislation and recycling practices. Resour Conserv Recycl 122:32–42

    Article  Google Scholar 

  45. Zhang K, Schnoor JL, Zeng EY (2012) E-waste recycling: where does it go from here? Environ Sci Technol 46(20):10861–10867

    Article  Google Scholar 

  46. Kiddee P, Naidu R, Wong MH (2013) Electronic waste management approaches: an overview. Waste Manag 33(5):1237–1250

    Article  Google Scholar 

  47. Janusz B (2014) Trillion sensors movement in support of abundance and internet of everything. In: SensorsCon 2014

    Google Scholar 

  48. International telecommunications union—broadband commission (2017) The state of broadband: broadband catalyzing sustainable development

    Google Scholar 

  49. Ding M, Pérez DL (2018) Promises and caveats of uplink IoT ultra-dense networks. arXiv preprint arXiv:1801.06623

  50. Ericsson.com (2018) Network slicing for IoT service deployment. https://www.ericsson.com/digital-services/trending/economic-study-5g-network-slicing. Accessed 25 Apr 2018

  51. IBM scientists team with The Weather Company to bring edge computing to life (2017). https://www.ibm.com/blogs/research/2017/02/bringing-edge-computing-to-life/. Accessed 25 Apr 2018

  52. IEEE (2017) Internet of things IEEE standards. http://standards.ieee.org/innovate/iot/stds.html

  53. Lee SK, Bae M, Kim H (2017) Future of IoT networks: a survey. Appl Sci 7(10):1072

    Article  Google Scholar 

  54. Gartner (2014) http://www.gartner.com/newsroom/id/2905717

  55. Marksteiner S, Jimenez VJE, Valiant H, Zeiner H (2017) An overview of wireless IoT protocol security in the smart home domain. In: 2017 Internet of things business models, users, and networks. IEEE, pp 1–8

    Google Scholar 

  56. Yang Y, Longfei W, Yin G, Li L, Zhao H (2017) A survey on security and privacy issues in internet-of-things. IEEE Internet Things J 4(5):1250–1258

    Article  Google Scholar 

  57. Cranor LF, Garfinkel S (2005) Security and usability: designing secure systems that people can use. O’Reilly Media, Inc., Sebastopol

    Google Scholar 

  58. Alrawais A, Alhothaily A, Hu C, Cheng X (2017) Fog computing for the internet of things: security and privacy issues. IEEE Internet Comput 21(2):34–42

    Article  Google Scholar 

  59. Burkitt F (2014) A strategist’s guide to the internet of things. http://www.strategy-business.com/article/00294?gko=a9303

  60. Shi F, Li Q, Zhu T, Ning H (2018) A survey of data semantization in internet of things. Sensors 18(1):313

    Article  Google Scholar 

  61. Dehghantanha A, Udzir NI, Mahmod R (2010) Towards a pervasive formal privacy language. In: 2010 IEEE 24th international conference on advanced information networking and applications workshops, 20–23 Apr 2010

    Google Scholar 

  62. Weber RH (2010) Internet of things-new security and privacy challenges. Comput Law Secur Rev 26(1):23–30

    Article  Google Scholar 

Download references

Disclaimer and Acknowledgements

The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of any affiliated organization or government. This work extends our previous studies [29].

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kadir Alpaslan Demir .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Demir, K.A., Turan, B., Onel, T., Ekin, T., Demir, S. (2019). Ambient Intelligence in Business Environments and Internet of Things Transformation Guidelines. In: Mahmood, Z. (eds) Guide to Ambient Intelligence in the IoT Environment. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-04173-1_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-04173-1_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04172-4

  • Online ISBN: 978-3-030-04173-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics