Advertisement

Ambient Intelligence in Business Environments and Internet of Things Transformation Guidelines

  • Kadir Alpaslan DemirEmail author
  • Bugra Turan
  • Tolga Onel
  • Tufan Ekin
  • Seda Demir
Chapter
Part of the Computer Communications and Networks book series (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.

Keywords

Ambient intelligence Smart business environments Internet of Things (IoT) Business processes Enterprise information systems Management of information systems 

Notes

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].

References

  1. 1.
    Demir KA, Cicibaş 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 GroupGoogle Scholar
  2. 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 2017Google Scholar
  3. 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. 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, TurkeyGoogle Scholar
  5. 5.
    Gilchrist A (2016) Industry 4.0. Apress, Berkeley, CA, USAGoogle Scholar
  6. 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, HeidelbergGoogle Scholar
  7. 7.
    Cook DJ, Augusto JC, Jakkula VR (2009) Ambient intelligence: technologies, applications, and opportunities. Pervasive Mob Comput 5(4):277–298CrossRefGoogle Scholar
  8. 8.
    IST Advisory Group (2003) Ambient intelligence: from vision to reality, European CommissionGoogle Scholar
  9. 9.
    Ramos C, Augusto JC, Shapiro D (2008) Ambient intelligence—the next step for artificial intelligence. IEEE Intell Syst 23(2):15–18CrossRefGoogle Scholar
  10. 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, HeidelbergGoogle Scholar
  11. 11.
    Augusto JC (2007) Ambient intelligence: the confluence of ubiquitous/pervasive computing and artificial intelligence. Intell Comput Everywhere, 213–234. Springer, LondonGoogle Scholar
  12. 12.
    Augusto JC, McCullagh P (2007) Ambient intelligence: concepts and applications. Comput Sci Inf Syst 4(1):1–27CrossRefGoogle Scholar
  13. 13.
    Norman D (1998) The invisible computer. The MIT Press, CambridgeGoogle Scholar
  14. 14.
    Weiser M (1991) The computer for the 21st century. Sci Am 265(3):94–104CrossRefGoogle Scholar
  15. 15.
    Remagnino P, Foresti GL (2005) Ambient intelligence: a new multidisciplinary paradigm. IEEE Trans Syst Man Cybern-Part A Syst Hum 35(1):1–6CrossRefGoogle Scholar
  16. 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):302–312CrossRefGoogle Scholar
  17. 17.
    Brooks K (2003) The context quintet: narrative elements applied to context awareness. In: Human-computer interaction international proceedings, vol 2003. Erlbaum AssociatesGoogle Scholar
  18. 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 1–8Google Scholar
  19. 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):978951CrossRefGoogle Scholar
  20. 20.
    Schiaffino S, Armentano M, Amandi A (2010) Building respectful interface agents. Int J Hum Comput Stud 68(4):209–222CrossRefGoogle Scholar
  21. 21.
    Lee F (2017) Ambient intelligence — the ultimate IoT use cases. https://medium.com/iotforall/ambient-intelligence-the-ultimate-iot-use-cases-5e854485e1e7
  22. 22.
    Drucker PF, Wilson G (2001) The essential Drucker, vol 81. Butter-worth-Heinemann, OxfordGoogle Scholar
  23. 23.
    Demir KA, Ozkan BE (2015) Organizational change via social hubs: a computer simulation based analysis. Proc Soc Behav Sci 210:105–113CrossRefGoogle Scholar
  24. 24.
  25. 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, LuxembourgGoogle Scholar
  26. 26.
    Demir KA (2008) Measurement of software project management effectiveness. Doctoral dissertation, Naval Postgraduate School, MontereyGoogle Scholar
  27. 27.
    Demir KA (2009) A survey on challenges of software project management. In: Software engineering research and practice, pp 579–585Google Scholar
  28. 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.CGoogle Scholar
  29. 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):105–117Google Scholar
  30. 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):248–267CrossRefGoogle Scholar
  31. 31.
    Thong JY, Yap CS, Raman KS (1997) Environments for information systems implementation in small businesses. J Organ Comput Electron Commer 7(4):253–278Google Scholar
  32. 32.
    Keen PG (1981) Information systems and organizational change. Commun ACM 24(1):24–33MathSciNetCrossRefGoogle Scholar
  33. 33.
    Bevir M (2012) Governance: a very short introduction. OUP Oxford, OxfordGoogle Scholar
  34. 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 403–424Google Scholar
  35. 35.
    Bassi A, Horn G (2008) Internet of things in 2020: a roadmap for the future. European Commission: Information Society and Media, Brussels, BelgiumGoogle Scholar
  36. 36.
    Hewlett Packard Enterprise (2016) The internet of things: turning ordinary things into extraordinary business outcomes, Number: 4AA6-3316ENN, March 2016Google Scholar
  37. 37.
    Intel (2015) Integrating IoT sensor technology into the enterprise. White Paper, December 2015Google Scholar
  38. 38.
    Edmondson AC (2012) Teaming: how organizations learn, innovate, and compete in the knowledge economy. Wiley, San FranciscoGoogle Scholar
  39. 39.
    Rayes A, Samer S (2017) Internet of things—from hype to reality. The road to digitization, vol 49. River Publisher Series in Communications, DenmarkGoogle Scholar
  40. 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):2767CrossRefGoogle Scholar
  41. 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)CrossRefGoogle Scholar
  42. 42.
    Chelloug SA, El-Zawawy MA (2017) Middleware for internet of things: survey and challenges. Intell Autom Soft Comput 1–9Google Scholar
  43. 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. 44.
    Kumar A, Holuszko M, Espinosa DCR (2017) E-waste: an overview on generation, collection, legislation and recycling practices. Resour Conserv Recycl 122:32–42CrossRefGoogle Scholar
  45. 45.
    Zhang K, Schnoor JL, Zeng EY (2012) E-waste recycling: where does it go from here? Environ Sci Technol 46(20):10861–10867CrossRefGoogle Scholar
  46. 46.
    Kiddee P, Naidu R, Wong MH (2013) Electronic waste management approaches: an overview. Waste Manag 33(5):1237–1250CrossRefGoogle Scholar
  47. 47.
    Janusz B (2014) Trillion sensors movement in support of abundance and internet of everything. In: SensorsCon 2014Google Scholar
  48. 48.
    International telecommunications union—broadband commission (2017) The state of broadband: broadband catalyzing sustainable developmentGoogle Scholar
  49. 49.
    Ding M, Pérez DL (2018) Promises and caveats of uplink IoT ultra-dense networks. arXiv preprint arXiv:1801.06623
  50. 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. 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. 52.
    IEEE (2017) Internet of things IEEE standards. http://standards.ieee.org/innovate/iot/stds.html
  53. 53.
    Lee SK, Bae M, Kim H (2017) Future of IoT networks: a survey. Appl Sci 7(10):1072CrossRefGoogle Scholar
  54. 54.
  55. 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 1–8Google Scholar
  56. 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):1250–1258CrossRefGoogle Scholar
  57. 57.
    Cranor LF, Garfinkel S (2005) Security and usability: designing secure systems that people can use. O’Reilly Media, Inc., SebastopolGoogle Scholar
  58. 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):34–42CrossRefGoogle Scholar
  59. 59.
    Burkitt F (2014) A strategist’s guide to the internet of things. http://www.strategy-business.com/article/00294?gko=a9303
  60. 60.
    Shi F, Li Q, Zhu T, Ning H (2018) A survey of data semantization in internet of things. Sensors 18(1):313CrossRefGoogle Scholar
  61. 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 2010Google Scholar
  62. 62.
    Weber RH (2010) Internet of things-new security and privacy challenges. Comput Law Secur Rev 26(1):23–30CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Kadir Alpaslan Demir
    • 1
    Email author
  • Bugra Turan
    • 2
  • Tolga Onel
    • 3
  • Tufan Ekin
    • 1
  • Seda Demir
    • 4
  1. 1.Department of Software DevelopmentTurkish Naval Research Center CommandIstanbulTurkey
  2. 2.Department of Electrical and Electronics EngineeringKoc UniversityIstanbulTurkey
  3. 3.Department of Computer EngineeringTurkish Naval AcademyIstanbulTurkey
  4. 4.Institute of Social Sciences, Gebze Technical UniversityKocaeliTurkey

Personalised recommendations