Matic Goran, Matic Ana
How might we emerge sustainable innovation value within complex systemic transformations?
Researchers observe that “innovation occurs through the combination and recombination of information and knowledge that are old and new” where “innovation is thus an emergent process” (Cooke, 2013). However, emerging innovation in a sustainable manner – whether within markets, communities or organizations – is increasingly viewed as being related to the processes of learning (Harkema, 2003) within complex–adaptive systems (Carlisle & McMillan, 2006), collaboration within multi–stakeholder environments (Sørensen & Torfing, 2011), and value co–creation (Romero & Molina, 2011).
And yet, the innovation initiatives entrusted with emerging sustainable innovation value frequently experience challenges in cross–industry settings – including lack of adoption by the key stakeholders in the natural resource management practices (Shiferaw, Okello, & Reddy, 2009), healthcare organizations (Cresswell & Sheikh, 2013), and policy environments (Douthwaite, Keatinge, & Park, 2001). Innovation is posited to be further complexified by the team climate and performance (González-Romá, Fortes-Ferreira, & Peiró, 2009), and the multi– dimensional aspects of enabling adoption (Pichlak, 2016).
To respond to the outlined concerns around the feasibility of emerging new value through innovation processes, we introduce Design for Emergence – a practical, applied design methodology intended for multidisciplinary teams and practitioners – to enable flourishing futures and increased resilience across systemic scales (Bergström & Dekker, 2014), human psychosocial contexts (Matin & Taylor, 2015) and social support systems (Sippel et al., 2015; Almedom, 2015). We introduce tools and methods for building social coherence (Antonovsky, 1987; Keyes 1998) across systemic scales and levels of analysis (Marr, 1982), with the goal of easing the stressors within ‘liminal spaces’ (Van Gennep, 1906; Turner, 1987) to impact desirable future outcomes and enable individual and organizational transformational journeys.
The Design for Emergence is positioned as a meta–design modality comprised of three core components: 1) Design for Adoption, 2) Design for Resilience, and 3) Design for Transience. Each component is a general purpose meta–design modality with specific canvasses, intended to simplify practical use of theoretical concepts within diverse, complex innovation environments requiring multi–stakeholder collaboration and delivery of broad cross–scale impacts.
Recognizing that the intrinsic and continued participation of key stakeholders is essential for the success of innovation initiatives, as exemplified in co–innovation (Lee, Olson, & Trimi, 2012), the Design for Adoption eases this process by leveraging motivational theory to support both initial and ongoing stakeholder engagements (Pink, 2009).
To maintain energy throughout the implementation phase of an innovation initiative, the Design for Resilience leverages methods for managing liminal journeys (Van Gennep, 1906; Turner, 1987), and uses the ‘Sense of Coherence’ (SoC) mechanism (Antonovsky, 1987; Keyes 1998) to enhance resilience of the communities, organizations and stakeholders involved.
As an innovation initiative nears completion, researchers observe that a change in the underlying value perceptions acts as a stressor (Cullen, Edwards, Casper, & Gue, 2014). To re–imagine the value propositions within the enclosing ecosystem and re–orient stakeholder value–perceptions, the Design for Transience maps how value perceptions change through the levels of analysis (Marr & Poggio, 1982), and leverages the ‘three horizons’ foresight method (Curry & Hodgson, 2008) for exploring the evolution of value perceptions from the experienced present to a perceived future.
A key objective is to be able to leverage practical tools to pivot value perceptions within market changes and complex ecosystemic transformations – to articulate value–propositions that enhance collaborative potential and create alignment with the key stakeholders, customers and communities in a way capable of enabling emergent innovation.
Almedom, A. (2015). Understanding human resilience in the context of interconnected health and social systems: Whose understanding matters most? Ecology and Society, 20(4). https://doi.org/10.5751/ES-08195-200440
Antonovsky, A. (1987). Unraveling the mystery of health: How people manage stress and stay well. San Francisco, CA, US: Jossey-Bass.
Bergström, J., & Dekker, S. W. A. (2014). Bridging the Macro and the Micro by Considering the Meso: Reflections on the Fractal Nature of Resilience. Ecology and Society, 19(4). Retrieved from http://www.jstor.org/stable/26269699
Carlisle, Y., & McMillan, E. (2006). Innovation in organization from a complex adaptive systems perspective. E:CO, 8.
Cooke, P. (2013). Complex Adaptive Innovation Systems: Relatedness and Transversality in the Evolving Region. Routledge.
Cresswell, K., & Sheikh, A. (2013). Organizational issues in the implementation and adoption of health information technology innovations: An interpretative review. International Journal of Medical Informatics, 82(5), e73–e86. https://doi.org/10.1016/j.ijmedinf.2012.10.007
Cullen, K. L., Edwards, B. D., Casper, W. C., & Gue, K. R. (2014). Employees’ Adaptability and Perceptions of Change-Related Uncertainty: Implications for Perceived Organizational Support, Job Satisfaction, and Performance. Journal of Business and Psychology, 29(2), 269–280. https://doi.org/10.1007/s10869-013-9312-y
Douthwaite, B., Keatinge, J. D. H., & Park, J. R. (2001). Why promising technologies fail: the neglected role of user innovation during adoption. Research Policy, 30(5), 819–836. https://doi.org/10.1016/S0048-7333(00)00124-4
Gennep, A. van. (1906). Mythes et légendes d’Australie: études d’ethnographie et de sociologie. E. Guilmoto.
González-Romá, V., Fortes-Ferreira, L., & Peiró, J. M. (2009). Team climate, climate strength and team performance. A longitudinal study. Journal of Occupational and Organizational Psychology, 82(3), 511–536. https://doi.org/10.1348/096317908X370025
Harkema, S. (2003). A complex adaptive perspective on learning within innovation projects. The Learning Organization, 10(6), 340–346. https://doi.org/10.1108/09696470310497177
Keyes, C. L. M. (1998). Social Well-Being. Social Psychology Quarterly, 61(2), 121–140. https://doi.org/10.2307/2787065
Lee, S. M., Olson, D. L., & Trimi, S. (2012). Co-innovation: convergenomics, collaboration, and co- creation for organizational values. Management Decision, 50(5), 817–831. https://doi.org/10.1108/00251741211227528
Marr, D. (2010). Vision: A Computational Investigation Into the Human Representation and Processing of Visual Information. MIT Press.
Matin, N., & Taylor, R. (2015). Emergence of human resilience in coastal ecosystems under environmental change. Ecology and Society, 20(2). https://doi.org/10.5751/ES-07321-200243
Pichlak, M. (2016). The innovation adoption process: A multidimensional approach. Journal of Management & Organization, 22(4), 476–494. https://doi.org/10.1017/jmo.2015.52
Romero, D., & Molina, A. (2011). Collaborative networked organisations and customer communities: value co-creation and co-innovation in the networking era. Production Planning & Control, 22(5– 6), 447–472. https://doi.org/10.1080/09537287.2010.536619
Shiferaw, B. A., Okello, J., & Reddy, R. V. (2009). Adoption and adaptation of natural resource management innovations in smallholder agriculture: reflections on key lessons and best practices. Environment, Development and Sustainability, 11(3), 601–619. https://doi.org/10.1007/s10668-007-9132-1
Sippel, L., Pietrzak, R., Charney, D., Mayes, L., & Southwick, S. (2015). How does social support enhance resilience in the trauma-exposed individual? Ecology and Society, 20(4). https://doi.org/10.5751/ES-07832-200410
Sørensen, E., & Torfing, J. (2011). Enhancing Collaborative Innovation in the Public Sector.
Administration & Society, 43(8), 842–868. https://doi.org/10.1177/0095399711418768
Turner, V. (1987). The Anthropology of Performance. PAJ Pu