Abstract
During the past few years an astonishing paradigm shift has occurred towards a new participatory value creation model driven by users. Open collaborative innovation practices have emerged in which an increasing number of users mutually collaborate by openly communicating their ideas, sharing best practices, and creating new knowledge across sectors. These online, distributed, crowd-driven networks take advantage of underlying network effects in order to harness the collective power and intelligence of the Crowd. Such novel paradigms fuel an increasing interest in mobile crowdsensing (MCS) methods in the context of IoT/IoE, which leverage the power and the wisdom of the crowd to observe, measure, and make sense of particular phenomena by exploiting user-owned mobile and wearable devices. However, when one examines the design and development of such ecosystems, realises that there is a gap in existing research. While emphasis has been placed upon the technical aspects, the success of such ecosystems is dependent on a number of diverse criteria. This chapter aims to fill this gap by providing a framework, which adopts a holistic approach based on multiple perspectives (namely technical, business, and people perspectives) and facilitates the design and development of crowd-driven ecosystems. This model is examined in the context of a hybrid crowd-driven IoT/IoE ecosystem, IoT Lab, in order to exemplify how these perspectives can be used to promote an ecosystem’s success and detail the challenges faced. This analysis is extended through the introduction of the “Crowd-driven Ecosystem Index (CEI)”, which measures the coverage intensity of each of the key ecosystem parameters, denoting this way the propensity of success of a crowd-driven network.
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Notes
- 1.
Due to the non-existence of a standard IoT definition [1] one can identify a variety of IoT definitions in the existing literature. The spectrum includes both narrow definitions, which perceive IoT only as an interconnection of “things” and broad ones that view the IoT idea as implying concepts that relate to the interconnection of people, processes and data in addition to “things” [2]. As such, in the course of this chapter we perceive IoT and IoE as acronyms for the same conceptual paradigm.
- 2.
- 3.
See [16] for an overview of business ecosystems and literature in relation to peripheral and non-peripheral actors in the business ecosystem definition.
References
IEEE-IoT 2015. Towards a definition of the Internet of Things (IoT). Revision No. 1–Published 27 May 2015.
J. Bradley, J. Barbier, and D. Handler D. Embracing the Internet of Everything to capture your share of $14.4 trillion: More Relevant, Valuable Connections Will Improve Innovation, Productivity, Efficiency & Customer Experience. White Paper Cisco, 2013.
J.A. Burke, D. Estrin, M. Hansen, A. Parker, N. Ramanathan, S. Reddy; et al., Participatory sensing. Center for Embedded Network Sensing. 2006. UCLA: Center for Embedded Network Sensing.
R. K. Ganti, Y. Fan and L. Hui, Mobile Crowdsensing: Current State and Future Challenges, IEEE Commun. Mag., 49(11), 2011, pp. 32–39.
A.G. Tansley. The use and abuse of vegetational concepts and terms. Ecology, 16, 1935, pp. 284–307.
World Resources Institute (WRI). World Resources 2000–2001: People and ecosystems: The fraying web of life. Report Series by United Nations Development Programme, United Nations Environment Programme, World Bank and World Resources Institute - September 2000.
R.A. Frosch, and N.E. Gallopoulos, Strategies for Manufacturing. Scientific American, 261(3), 1989, pp. 144–152.
J.F. Moore, Predators and prey: A new ecology of competition. Harvard Business Review. 71(3), 1993, pp. 75–83.
J. F. Moore, The Death of Competition: Leadership & Strategy in the Age of Business Ecosystems. 1996, New York, Harper Business.
H.W. Chesbrough and M.M. Appleyard, Open Innovation and Strategy. California Management Review, 50(1), 2007, pp. 57–76.
P. Almeida and B. Kogut, Localization of knowledge and the mobility of engineers in regional networks. Management Science, 45, 1999, pp. 905–917.
R. Baptista, Clusters, innovation and growth: a survey of the literature. In: G. M. P. Swann, M. Prevezer and D. Stout, eds. The dynamics of industrial clusters: international comparisons in computing and biotechnology, 1998. Oxford: Oxford University Press 13–51.
D. Bray, Knowledge Ecosystems. In Organizational dynamics of technology-based innovation: Diversifying the research agenda, 2007 (pp. 457–462). Springer US.
T. Coughlan, Enhancing Innovation through Virtual Proximity. Technology Innovation Management Review, 4(2), 2014, pp. 17–22.
B. Clarysse, M. Wright, J. Bruneel, and A. Mahajan, Creating value in ecosystems: Crossing the chasm between knowledge and business ecosystems. Research Policy, 43(7), 2014, pp. 1164–1176.
G. Koening, Business Ecosystems Revisited. Management, 15(2), 2012, pp. 208–224.
K. Valkokari, Business, Innovation, and Knowledge Ecosystems: How They Differ and How to Survive and Thrive within Them. Technology Innovation Management Review, 5(8), 2015, pp. 17–24.
M. Iansiti and R. Levien, The Keystone Advantage: What the New Dynamics of Business Ecosystems Mean for Strategy, Innovation, and Sustainability. Boston, MA: Harvard Business School Press, 2004.
J.B. Andersen, What Are Innovation Ecosystems and How To Build and Use Them. Innovation Management, 2011.
M. Wright, Academic entrepreneurship technology transfer and society: Where next? Journal of Technology Transfer, 39(3), 2013, pp. 322–34.
E.G. Carayannis, Innovation, Technology, and Knowledge Management, 2010.
S.M. Lee, D.L. Olson and S. Trimi, Co-Innovation: Convergenomics, Collaboration, and Co-Creation for Organizational Values. Management Decision, 50(5), 2012, pp. 817–831.
D. Tapscott and A.D. Williams. Wikinomics: How mass collaboration changes everything. 2008, Penguin.
M. E. Porter and M. R. Kramer, Creating Shared Value, Harvard Business Review, 89(1–2), 2011, (January–February).
R.K. Rana, C.T. Chou, S.S. Kanhere, N. Bulusu, and W. Hu, Ear-Phone an End-to-End Participatory Urban Noise Mapping System. In Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, Stockholm, Sweden, 12–16 April 2010, pp. 105–116.
N. Thepvilojanapong, T. Ono, and Y.A. Tobe, Deployment of Fine-Grained Sensor Network and Empirical Analysis of Urban Temperature. Sensors, 10, 2010, pp. 2217–2241.
Ludwig, T., Siebigteroth, T., and Pipek, V., 2014. CrowdMonitor: Monitoring Physical and Digital Activities of Citizens During Emergencies. Social Informatics, 8852, pp. 421–428.
Bélanger, F. and Crossler, R. E. 2011. Privacy in the Digital Age: A Review of Information Privacy Research in Information Systems. MIS Quarterly, Vol. 35, No. 4, pp. 1017–1041.
Hong, W. and Thong, J. Y. L. 2013. Internet Privacy Concerns: An Integrated Conceptualization and Four Empirical Studies. MIS Quarterly, 37(1), pp. 275–298.
Muhdi, L. and Boutellier, R. 2011. Motivational Factors Affecting Participation and Contribution of Members in Two Different Swiss Innovation Communities. International Journal of Innovation Management, 15(3). pp. 543–562.
Brabham, D. C. 2010. Moving the Crowd at Threadless. Information, Communication & Society, 13(8), pp. 1122–1145.
Kaufmann, N., Schulze, T. and Veit, D. 2011. More Than Fun and Money. Worker Motivation in Crowdsourcing – a Study on Mechanical Turk. AMCIS2011.
Nov, O., 2007. What Motivates Wikipedians. Communication of the ACM, 50(11) pp. 60–64.
Ståhlbröst, A., Angelopoulos, C. M., Evangelatos, O., Krco, S., Nikoletseas, S., Raptis, T. and Ziegler, S., 2015. Understanding Modes of Crowdsourcing and Related Crowd Motivators. XXVI ISPIM conference, Budapest, Hungary.
IoT Lab project. Available at (access: 20.01.2016): www.iotlab.eu.
Greenough, J., 2014, How the Internet of Things market will grow, Business Insider. Available at (access: 25.01.2016): http://uk.businessinsider.com/how-the-internet-of-things-market-will-grow-2014-10?r=US&IR=T.
Dave Evans, The Internet of Everything – Cisco. Available at (access: 25.01.2016): https://www.cisco.com/web/about/ac79/docs/innov/IoE.pdf.
Payne, A.F., Storbacka, K. and Frow, P., 2008. Managing the co-creation of value. Journal of the academy of marketing science, 36(1), pp. 83–96.
Prahalad, C. K. and Ramaswamy, V., 2004. Co-creating unique value with customers. Strategy & leadership, 32(3), pp. 4–9.
Chesbrough, H., 2007. Business model innovation: it’s not just about technology anymore. Strategy & leadership, 35(6), pp. 12–17.
Christin, D., Reinhardt, A., Kanhere, S. and Hollick, M. 2011. A Survey on Privacy in Mobile Participatory Sensing Applications. The journal of systems and software, 84. pp. 1928–1946.
Huang, K. L., Kanhere, S. S. and Hu, W. 2010. Preserving Privacy in Participatory Sensing Systems. Computer Communications, 33(11). pp. 1266–1280.
Weber, R. H., 2010. Internet of Things – New Security and Privacy Challenges. Computer Law & Security Review, 26(1). pp. 23–30.
Acknowledgment
The research reported in this paper has been supported by the EU/FIRE IoT Lab project—STREP ICT-610477.
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Ziouvelou, X. et al. (2017). Crowd-Driven IoT/IoE Ecosystems: A Multidimensional Approach. In: Batalla, J., Mastorakis, G., Mavromoustakis, C., Pallis, E. (eds) Beyond the Internet of Things. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-319-50758-3_14
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