E-course 5 introduction: Recommendations for adoption and sustainability



The E-course has two main lessons. One lesson will focus on recommendations for tackling IoT adoption barriers.

The second lesson will focus on sustainability. The E-course has been developed by imec and LTU that were in charge of the work package 3 ‘analysis and recommendations’.


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Course information
Duration

55 min

Keywords

Adoption, barriers, sustainability

Related Experts

Abdolrasoul Habibipour
Living Labs, User Engagement Expert
Wim Vanobberghen
End user research, Living Lab methods, Smart cities
Jan Waeben
Aya Rizk
Data mining and advanced analytics, User engagement
Recommendations for adoption and sustainability

The E-course has two main lessons. One lesson will focus on recommendations for tackling IoT adoption barriers. The second lesson will focus on sustainability. The E-course has been developed by imec and LTU that were in charge of the work package 3 ‘analysis and recommendations’.

E-course on Recommendations for adoption and sustainability

Duration 33:28 min
Added on 12-12-2019


Duration 33:28 min
Added on 12-12-2019
The presence of IOT-solutions within five applications domains - wearable sensors, smart agriculture, autonomous driving, smart healthcare, smart cities - raises questions and concerns by different stakeholders and in particular end users towards their adoption and use in their daily life context. In order to better equip IoT-initiatives in those 5 application domains and support the piloting process, the first lesson in this e-course provides an overview of adoption barriers in different IoT application domains as well as practical recommendations to tackle potential adoption barriers that might arise at the end users’ side (consumer). The topics presented will deal with theoretically understanding the adoption process and the role of barriers and practically on strategies to increase awareness of how these barriers should be overcome.

E-course on Recommendations for adoption and sustainability

Duration 45:25 min
Added on 27-04-2020


Duration 45:25 min
Added on 27-04-2020
This e-course dives into the sustainability question of IoT projects based on the experiences and exchanges with the 5 LSP’s. Sustainability is understood here from a broad angle, meaning to take into account not only economic/business concerns but also societal and environmental issues. D3.1 ‘Analysis of ethical, societal and environmental issues’ showed that the deployment of Iot Solutions in society will raise a lot of concerns ranging from privacy, over data security to natural resource management or bio-diversity. This course In particular presents a self-assessment tool called the Sustainability matrix that supports projects to self-assess at their beginning, the middle and their end. This is done by helping projects to formulate assumptions that during a project lifespan can be validated, adapted or discarded based on identified research activities that allow to provide insights (data, knowledge) on the initially identified assumptions. Secondly the e-course presents 4 IoT domain specific recommendations for sustainability that came out of the interactions with current large scale pilots.

Lesson 1: Adoption barrier

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    12.
  • Sivathanu, B. (2018). Adoption of Internet of Things (IOT) based wearables for healthcare of older
    adults–a behavioural reasoning theory (BRT) approach. Journal of Enabling Technologies,
    12(4), 169-185.
  • Firouzi, F., Farahani, B., Ibrahim, M., & Chakrabarty, K. (2018). Keynote Paper: From EDA to IoT
    eHealth: Promises, Challenges, and Solutions. IEEE Transactions on Computer-Aided Design
    of Integrated Circuits and Systems, 37(12), 2965-2978.
  • Pustiek, M., Beristain, A., & Kos, A. (2015, October). Challenges in wearable devices based pervasive
    wellbeing monitoring. In 2015 international conference on Identification, Information,
    and Knowledge in the Internet of Things (IIKI) (pp. 236-243). IEEE.
  • Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: opportunities,
    barriers and policy recommendations. Transportation Research Part A: Policy and Practice,
    77, 167-181.
  • Knierim, A., Borges, F., Kernecker, M.L, Kraus, T. & Wurbs, A. (2018). What drives adoption of smart
    farming technologies? Evidence from a cross-country study. 13th European IFSA Symposium,
    2018.
  • Brous, P., & Janssen, M. (2015, October). A systematic review of impediments blocking internet of things
    adoption by governments. In Conference on e-Business, e-Services and e-Society
    (pp. 81-94). Springer, Cham.
  • Pöhls, H. C., Angelakis, V., Suppan, S., Fischer, K., Oikonomou, G., Tragos, E. Z., ... & Mouroutis, T.
    (2014, April). RERUM: Building a reliable IoT upon privacy-and security-enabled
    smart objects. In 2014 IEEE Wireless Communications and Networking Conference Workshops
    (WCNCW) (pp. 122-127). IEEE.
  • Barnes, A.P., Soto, I., Eory, V., Beck, B., Balafoutis, A., Sanchez, B., Vangeyte, J., Fountas, S.,
    van der Wal,T., Gomez-Barbero, M. (2019). Exploring the adoption of precision agricultural
    technologies: a cross regional study of European farmers. Land Use Policy,
    80, pp. 163-174.
  • Peek, S., Wouters, E., van Hoof, J., Luyckx, K., Boeije, H., Vrijhoef, J.M. (2014). Factors influencing
    acceptance of technology for aging in place: a systematic review. International
    Journal of Medical Informatics, 83, pp.235-248.

Lesson 2: Adoption barrier

  • Ballon, P. (2007). Business modelling revisited: the configuration of control and value. info, 9(5), 6-19.
  • Bocken, N., Short, S., Rana, P. & Evans, S. (2014.) A literature and practice review to develop sustainable
    business models archetypes. Journal of Cleaner Production, 65, pp. 42-56.
  • Boons, F. & Lüdeke-Freund, F. (2013). Business models for sustainable innovation Journal of Cleaner
    Production, 45, pp.ç-19.
  • Breuer, H., Lüdeke- Freund, F., Fichter, K., & Tiemann, I (2018). Sustainability oriented business model
    development: principles, criteria and tools. International Journal of Entrepreneurial Venturing, 10, 2,
    pp.256 -286
  • de Padua Pieroni, M., Pigosso, D. & McAloone, T.C (2018). Qualifying criteria for designing circular
    business models. Procedia CIRP, 69
  • de Padua Pieroni, M., McAloone, T. & Pigosso, D. (2019) Business model innovation for circular economy and
    sustainability: A review of approaches. Journal of Cleaner Production, 215, pp. 198-216.
  • Geissdoerfer, M., Vladimirova, D. & Evans, S. (2018). Sustainable business model innovation: a review.
    Journal of Cleaner Production, 198, pp.401-416.
  • Joyce, A., Paquin, R., Pigneur, Y. (2015), The triple layered business model canvas. A tool to design more
    sustainable business models. Artem Organisationsation Creativity International Conference, Nancy, France
    (consulted online: https://blog.ssbmg.com/2015/04/17/the-triple-layered-business-model-canvas-a-tool-to-design-more-sustainable-business-models/ )
  • Lewandowski, M. (2016) Designing the business model for circular economy
    - Towards the conceptual framework. Sustainability, 8, pp. 43-71
  • OASC, Minimal Interoperability Mechanisms (MIMS) v1 16.01.2019, s.d, s.l. Consulted online
    https://oascities.org/wp-content/uploads/2019/06/OASC-MIMs.pdf on 20.11.2019
  • Osterwalder, Y. P. (2010). Business model generation : a handbook for visionaries, game changers, and challengers.
  • Osterwalder, Y. P. (2014). Value proposition design : how to create products and services customers want.
  • Porter, M. E. (1985). The Competitive Advantage: Creating and Sustaining Superior Performance.
  • Ries, E. (2011). The lean startup : how today’s entrepreneurs use continuous
    innovation to create radically successful businesses.
  • Rogers, E. M. (1971). Communication of Innovations; A Cross-Cultural Approach. NY: The Free Press.
  • Schuurman, L. C. (2014). Hypothesis driven innovation: lean, live and validate. XXV ISPIM Innov. Conf. Proc.
  • Schuurman, D., Herregodts, A., Georges, A. & Rits, O. (2019). Innovation Management in Living Lab Projects.
    Technology Innovation Management Review, 9, 3, pp. 63-73
  • Talonen, T. & Hakkarainen, K (2014). Elements of sustainable business models. International Journal of
    Innovation Science, 6, pp. 4&3–54.
  • Upward, A., & Henry, P.H. (2015). An ontology for strongly sustainable business models: Defining an
    enterprise framework compatible with natural and social science. Organization & Environment,
    Special Issue: Business Models for Sustainability: Entrepreneurship, Innovation, and Transformation
    (On-Line First), pp. 1-27.
  • Upward, A & James, E. (2014). The flourishing business canvas www.flourishingbusiness.org

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