Gender and the construction of identity within climate technology innovation in Kenya

This paper undertakes an analysis of the discursive construction of the entrepreneurial identity within media on climate technology(CT) innovation in Kenya. Using the STEPS pathways approach along side a post-structuralist feminist identity framework, it explores the way that the narrative of entrepreneur-led innovation may include or exclude the framings of particular actors. The paper draws on ideas of antagonism in identity construction, legitimacy, and access to resources, in order to identify those actors that may perceive themselves as, or be perceived as, more or less legitimate as CT entrepreneurs, thus being more or less likely to gain access to resources for CT innovation. Although the climate technology entrepreneur aligns in some ways with more normatively feminine notions of the caring social entrepreneur, overall the CT entrepreneur remains a masculine identity. Women are underrepresented in media portrayals of CT entrepreneurship.Further, portrayals of women CT entrepreneurs tend to question their legitimacy, depicting them as either requiring the support of men, or as taking up masculine characteristics in order to gain credibility. The paper demonstrates that this might translate into more favourable attitudes towards men CT entrepreneurs when seeking access to institutional support. It recommends further research into the capacity for CT entrepreneurship to effectively incorporate marginalised framings, and where entrepreneurship will fail to meet their needs, it calls for increased support for appropriate alternative processes of climate technology innovation

Developing a dominant logic of strategic innovation

Purpose: This paper aims to lay the foundations to develop a dominant logic and a common thematic framework of strategic innovation (SI) and to encourage consensus over the field’s core foundation of main themes. Design/methodology/approach: The paper explores the intersection between the constituent fields of strategic management and innovation management through a concept mapping process. The paper categorizes the main themes and search for common ground in order to develop the core thematic framework of SI. The paper looks at the sub-themes of SI in published research and develops a more detailed framework. The conceptual categories derived from the process are then placed in a logical sequence according to how they occur in practice or in the order of how the concepts develop from one other. Findings: The results yield seven main themes that form the main taxonomy of SI: types of SI, environmental analysis of SI, SI planning, enabling SI, collaborative networks, managing knowledge, and strategic outcomes. Research limitations/implications: The new thematic framework the paper is proposing for SI remains preliminary in nature and would need to be tried and tested by researchers and practitioners in order to gain acceptability. Academic rigor and methodological structure are not sufficient to determine whether our conceptual framework will become widely diffused in academia and industry. It would have to pass through an emergent, evolutionary process of selection, adoption and an inevitable degree of change and adaptation, just like any other innovation. Practical implications: The practical implications concern the production of instructive material and the application of strategic management initiatives in industry. The proposed themes and sub-themes can serve as a logical framework to develop and update publications, which have been instrumental in their own right to shape the field. The paper also provides a checklist of potential research projects in SI, which will improve and strengthen the field. The new framework provides a comprehensive checklist of strategic management initiatives that will help industry to initiate, plan and execute effective innovation strategies. Originality/value: The concept mapping of the themes of SI yields a new dominant logic, which will influence the evolution of the field and its relevance to both academia and industry

CHORUS Deliverable 4.5: Report of the 3rd CHORUS Conference

The third and last CHORUS conference on Multimedia Search Engines took place from the 26th to the 27th of May 2009 in Brussels, Belgium. About 100 participants from 15 European countries, the US, Japan and Australia learned about the latest developments in the domain. An exhibition of 13 stands presented 16 research projects currently ongoing around the world

Coevolution of Firm Capabilities and Industry Competition

This paper proposes that rival firms not only search for new capabilities within their organization, but also for those that rest in their competitive environment. An integrated analysis of these search processes at both firm and industry levels of analysis shows how their interaction makes industries and firms coevolve over time. To contribute to an enhanced understanding of the concept of coevolution, a dynamic and integrative framework crossing meso and micro levels of analysis is constructed. This framework is applied to a longitudinal study of the music industry with a time-span of 120 years. The first part, a historical study, covers the period 1877 - 1990. The second part, a multiple-case study, covers the period 1990 - 1997. We conclude that search behavior drives coevolution through competitive dynamics among new entrants and incumbent firms and manifests itself in the simultaneous emergence of new business models and new organizational forms.coevolution;competitive regime;longitudinal research;multilevel research;music industry

Wikipedia and the politics of mass collaboration

Working together to produce socio-technological objects, based on emergent platforms of economic production, is of great importance in the task of political transformation and the creation of new subjectivities. Increasingly, “collaboration” has become a veritable buzzword used to describe the human associations that create such new media objects. In the language of “Web 2.0”, “participatory culture”, “user-generated content”, “peer production” and the “produser”, first and foremost we are all collaborators. In this paper I investigate recent literature that stresses the collaborative nature of Web 2.0, and in particular, works that address the nascent processes of peer production. I contend that this material positions such projects as what Chantal Mouffe has described as the “post-political”; a fictitious space far divorced from the clamour of the everyday. I analyse one Wikipedia entry to demonstrate the distance between this post-political discourse of collaboration and the realities it describes, and finish by arguing for a more politicised notion of collaboration

A stigmergy-based analysis of city hotspots to discover trends and anomalies in urban transportation usage

A key aspect of a sustainable urban transportation system is the effectiveness of transportation policies. To be effective, a policy has to consider a broad range of elements, such as pollution emission, traffic flow, and human mobility. Due to the complexity and variability of these elements in the urban area, to produce effective policies remains a very challenging task. With the introduction of the smart city paradigm, a widely available amount of data can be generated in the urban spaces. Such data can be a fundamental source of knowledge to improve policies because they can reflect the sustainability issues underlying the city. In this context, we propose an approach to exploit urban positioning data based on stigmergy, a bio-inspired mechanism providing scalar and temporal aggregation of samples. By employing stigmergy, samples in proximity with each other are aggregated into a functional structure called trail. The trail summarizes relevant dynamics in data and allows matching them, providing a measure of their similarity. Moreover, this mechanism can be specialized to unfold specific dynamics. Specifically, we identify high-density urban areas (i.e hotspots), analyze their activity over time, and unfold anomalies. Moreover, by matching activity patterns, a continuous measure of the dissimilarity with respect to the typical activity pattern is provided. This measure can be used by policy makers to evaluate the effect of policies and change them dynamically. As a case study, we analyze taxi trip data gathered in Manhattan from 2013 to 2015.Comment: Preprin