Can Collective Intelligence Produce Social Innovation?

Tjörnbo, Ola

doi:10.1057/9781137506801_10

Cited by 3 publications

(5 citation statements)

References 30 publications

(24 reference statements)

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“…Such a sequential approach has also been proposed by researchers working on social innovation in high-income countries. 40 As the number of countries adopting RBF programs grows, opportunities abound for further honing of the model. A key question for policy makers and funders is the extent to which following this sequential progression is necessary for an RBF reform to succeed, in terms of both outcomes as well as any systemic transformative spillover effects.…”

Section: Lessons On Concepts and Methods In The Research Programmentioning

confidence: 99%

From Scheme to System (Part 1): Notes on Conceptual and Methodological Innovations in the Multicountry Research Program on Scaling Up Results-Based Financing in Health Systems

Meessen

Shroff

et al. 2017

Health Systems & Reform

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This article presents conceptual and methodological developments made in analyzing the scale up of results-based financing (RBF) as part of a multicountry research program supported by the Alliance for Health Policy and Systems Research. Following a brief overview of the research process, the article proposes a new five-dimensional conceptualization of scale-up (population coverage, service coverage, health system integration, cross-sectoral diffusion, and knowledge expansion) to capture various facets of RBF scale-up. It also presents how Walt and Gilson's health policy triangle framework was modified to identify the enablers and barriers to scale-up in the country case studies included in this research program. The article then puts forth a fourphase model of scale-up, including phases of generation, adoption, institutionalization, and expansion, developed for the purpose of this research program. The article concludes by providing some lessons learned on the use of the methods and theoretical frameworks developed for this multicountry research program.

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Section: Lessons On Concepts and Methods In The Research Programmentioning

confidence: 99%

From Scheme to System (Part 1): Notes on Conceptual and Methodological Innovations in the Multicountry Research Program on Scaling Up Results-Based Financing in Health Systems

Meessen

Shroff

et al. 2017

Health Systems & Reform

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“…The World Wide Web has created a virtual world of collective intelligence and has helped large groups of people to connect and collaborate in innovation processes (Bücheler & Sieg, 2011). The development of modern information and communication technologies (ICTs) has led to a renewed interest in the phenomenon of ‘collective intelligence’, which was once described as the ‘wisdom of the crowds’ (Surowiecki, 2005; Tjornbo, 2015).…”

Section: Research Question and Research Scopementioning

confidence: 99%

“…Collective intelligence is broadly defined as a group of individuals collaborating to create synergy, that is, create something greater than the sum of each individual part, which is to do things collectively that seem intelligent (Castelluccio, 2006; Malone et al, 2009). So to say, collective intelligence means the capacity to mobilise and coordinate the expertise and creativity possessed by large groups of individuals in order to solve problems and create new knowledge (Tjornbo, 2015).…”

Section: Literature Review and Research Frameworkmentioning

confidence: 99%

“…The emergence of web-based tools has made it possible to experiment with a number of different mechanisms for tapping into the decision-making capabilities of the collective according to examples of ‘the wisdom of crowds’ (Bonabeau, 2009; Surowiecki, 2005). Collective intelligence with internet-based platforms produces public goods and services which are a kind of social open innovation performance (Tjornbo, 2015). Collective intelligence should be analysed to define its effects on work processes, operations, and service innovation, among other things (Lee & Jin, 2019).…”

Section: Literature Review and Research Frameworkmentioning

confidence: 99%

“…Chesbrough provided an example using Procter & Gamble, a company which belongs to the consumer sector, where a form of crowdsourcing or collective intelligence has motivated a form of open innovation that has proven to be successful, which seems to be applicable in fundamental research, even though open science does not directly result in innovation (Buecheler et al, 2010; Chesbrough, 2019, p. 54). With the development of the internet of things, smartphones and web platforms, collective intelligence expanded from basic science to applied science, including in customer electronics, the co-creation of social goods, citizen participation, investment algorithms or social innovation (Buecheler et al, 2010; McAfee & Brynjolfsson, 2017, p. 269; Peters & Heraud, 2015; Seltzer & Mahmoudi, 2013; Tjornbo, 2015).…”

Section: Literature Review and Research Frameworkmentioning

confidence: 99%

See 2 more Smart Citations

Collective Intelligence: The Creative Way from Knowledge to Open Innovation

Yun

Jeong

Kim

et al. 2021

Science, Technology and Society

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This study aims to answer the following research question: Is there any difference in the effects of collective intelligence on the open innovation between before (2001–2005) and after (2011–2015) of the introduction of smartphones and crowd web services regarding electronics and mathematics? The research method of this study includes multiple regression analysis, including (1) the effect of collective intelligence on open innovation (i.e., the number of citations), (2) the effect of the amount of knowledge (i.e., the number of references) on open innovation and (3) the moderating effect of the amount of knowledge (i.e., the number of references) between collective intelligence and open innovation. The research scope of this study is Scopus published papers from two periods, namely, 2001–2005 and 2011–2015. The scope here is limited to mathematics and electronics. According to the research conducted here, if the amount of knowledge increases in an economic system, collective intelligence will increasingly motivate open innovation. The implication of this study is that there are diverse methods for collective intelligence to impact open innovation and the consequent results.

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Mobile crowdsensing for road sustainability: exploitability of publicly-sourced data

Klopfenstein

Delpriori

Polidori

et al. 2019

International Review of Applied Economics

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This paper examines the opportunities and the economic benefits of exploiting publicly-sourced datasets of road surface quality. Crowdsourcing and crowdsensing initiatives channel the participation of engaged citizens into communities that contribute towards a shared goal. In providing people with the tools needed to positively impact society, crowd-based initiatives can be seen as purposeful drivers of social innovation from the bottom. Mobile crowdsensing (MCS), in particular, takes advantage of the ubiquitous nature of mobile devices with on-board sensors to allow large-scale inexpensive data collection campaigns. This paper illustrates MCS in the context of road surface quality monitoring, presenting results from several pilots adopting a public crowdsensing mobile application for systematic data collection. Evaluation of collected information, its quality, and its relevance to road sustainability and maintenance are discussed, in comparison to authoritative data from a variety of other sources.

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Can Collective Intelligence Produce Social Innovation?

Cited by 3 publications

References 30 publications

From Scheme to System (Part 1): Notes on Conceptual and Methodological Innovations in the Multicountry Research Program on Scaling Up Results-Based Financing in Health Systems

From Scheme to System (Part 1): Notes on Conceptual and Methodological Innovations in the Multicountry Research Program on Scaling Up Results-Based Financing in Health Systems

Collective Intelligence: The Creative Way from Knowledge to Open Innovation

Mobile crowdsensing for road sustainability: exploitability of publicly-sourced data

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