Emerging structures in social networks guided by opinions' exchanges

In this paper, we show that the small world and weak ties phenomena can spontaneously emerge in a social network of interacting agents. This dynamics is simulated in the framework of a simplified model of opinion diffusion in an evolving social network where agents are made to interact, possibly update their beliefs and modify the social relationships according to the opinion exchange

Emerging structures in social networks guided by opinions’ exchanges

n this paper, we show that the small world and weak ties phenomena can spontaneously emerge in a social network of interacting agents. This dynamics is simulated in the framework of a simplified model of opinion diffusion in an evolving social network where agents are made to interact, possibly update their beliefs and modify the social relationships according to the opinion exchange

Hot context for organizational learning

The organizational learning, studied in resource-based view, is a strategic resource (Wernerfelt 1984, Prahalad et Hamel 1990, Doz 1990, Teece 1998, Weartherly 2003). Thus, “learning to learn” (Argyris et Schön, 1978), being a learning organization (Senge 1990, Edmondson et Moingeon 1998, Moilanen 1999, Heraty 2005), and encouraging organizational learning become major issues in management sciences. This contribution aims at fixing and explaining hot organizational learning context dimensions. This approach presents a double interest. First, it enables the validation of the dimensions deducted from literature. Second, this analysis suggests a framework for hot context that emphasized managerial leverages.The first part of our contribution synthetizes the organizational learning literature and particulary analyses its context. It reveals three implicit dimensions in literature : cultural, organizational and social dimension.We have backed up our questioning with a qualitative study of two business units of the public company Electricité de France (EDF). This firm is subjected to many changes in its environment : the opening of European and French electricity markets. EDF has to adapt itself to this context by developing learning capabilities, bringing about synergies between departments and creating a hot context for organizational learning. The collection data has been done at two different times during a nine month period and insures data triangulation : 36 interviews, 7 days of observation and many internal documents. The interviews have been recorded and transcribed. In order to facilitate the data processing, the thematic analysis has been done with N*Vivo software. The empirical study validates the three dimensions identified from literature relevance and brings further information. We have drown four dimensions of a hot context : an individual, an organizational, a social and a managerial dimension. The individual one includes the literature cultural dimension but also identity, emotional and fonctionnal aspects. It corresponds to individual self motivation and theory in use that facilitates sharing and cooperation in the firm. The organizational dimension integrates both organizational and specific learning structures such as guild and coaching. It is set apart from the managarial dimension, which is the support and the influence of the managerial staff. Finally, the social dimension is the result of the interaction of the three previous dimensions. In this way, it constitutes a sine qua non condition to the organizational learning process. Beyond our analysis, we suggest a framework to understand hot context, its dimensions, and develop managerial leverages.organizational learning, organizational context

The Leviathan model: Absolute dominance, generalised distrust, small worlds and other patterns emerging from combining vanity with opinion propagation

We propose an opinion dynamics model that combines processes of vanity and opinion propagation. The interactions take place between randomly chosen pairs. During an interaction, the agents propagate their opinions about themselves and about other people they know. Moreover, each individual is subject to vanity: if her interlocutor seems to value her highly, then she increases her opinion about this interlocutor. On the contrary she tends to decrease her opinion about those who seem to undervalue her. The combination of these dynamics with the hypothesis that the opinion propagation is more efficient when coming from highly valued individuals, leads to different patterns when varying the parameters. For instance, for some parameters the positive opinion links between individuals generate a small world network. In one of the patterns, absolute dominance of one agent alternates with a state of generalised distrust, where all agents have a very low opinion of all the others (including themselves). We provide some explanations of the mechanisms behind these emergent behaviors and finally propose a discussion about their interestComment: Improved version after referees comment

Designing for interaction

At present, the design of computer-supported group-based learning (CS)GBL) is often based on subjective decisions regarding tasks, pedagogy and technology, or concepts such as ‘cooperative learning’ and ‘collaborative learning’. Critical review reveals these concepts as insufficiently substantial to serve as a basis for (CS)GBL design. Furthermore, the relationship between outcome and group interaction is rarely specified a priori. Thus, there is a need for a more systematic approach to designing (CS)GBL that focuses on the elicitation of expected interaction processes. A framework for such a process-oriented methodology is proposed. Critical elements that affect interaction are identified: learning objectives, task-type, level of pre-structuring, group size and computer support. The proposed process-oriented method aims to stimulate designers to adopt a more systematic approach to (CS)GBL design according to the interaction expected, while paying attention to critical elements that affect interaction. This approach may bridge the gap between observed quality of interaction and learning outcomes and foster (CS)GBL design that focuses on the heart of the matter: interaction

Impact in networks and ecosystems: building case studies that make a difference

open accessThis toolkit aims to support the building up of case studies that show the impact of project activities aiming to promote innovation and entrepreneurship. The case studies respond to the challenge of understanding what kinds of interventions work in the Southern African region, where, and why. The toolkit has a specific focus on entrepreneurial ecosystems and proposes a method of mapping out the actors and their relationships over time. The aim is to understand the changes that take place in the ecosystems. These changes are seen to be indicators of impact as increased connectivity and activity in ecosystems are key enablers of innovation. Innovations usually happen together with matching social and institutional adjustments, facilitating the translation of inventions into new or improved products and services. Similarly, the processes supporting entrepreneurship are guided by policies implemented in the common framework provided by innovation systems. Overall, policies related to systems of innovation are by nature networking policies applied throughout the socioeconomic framework of society to pool scarce resources and make various sectors work in coordination with each other. Most participating SAIS countries already have some kinds of identifiable systems of innovation in place both on national and regional levels, but the lack of appropriate institutions, policies, financial instruments, human resources, and support systems, together with underdeveloped markets, create inefficiencies and gaps in systemic cooperation and collaboration. In other words, we do not always know what works and what does not. On another level, engaging users and intermediaries at the local level and driving the development of local innovation ecosystems within which local culture, especially in urban settings, has evident impact on how collaboration and competition is both seen and done. In this complex environment, organisations supporting entrepreneurship and innovation often find it difficult to create or apply relevant knowledge and appropriate networking tools, approaches, and methods needed to put their processes to work for broader developmental goals. To further enable these organisations’ work, it is necessary to understand what works and why in a given environment. Enhanced local and regional cooperation promoted by SAIS Innovation Fund projects can generate new data on this little-explored area in Southern Africa. Data-driven knowledge on entrepreneurship and innovation support best practices as well as effective and efficient management of entrepreneurial ecosystems can support replication and inform policymaking, leading thus to a wider impact than just that of the immediate reported projects and initiatives

Communities of knowledge and knowledge of communities: An appreciative inquiry into rural wellbeing

This article offers a retrospective examination of the use of appreciative inquiry (AI) in a study on rural wellbeing. It provides a reflection on the rationale for choosing AI as a suitable methodology, critiques the application of AI in rural settings and considers its suitability for this inquiry into individual and community wellbeing. The article also considers the value of AI as a participatory research approach for community-university partnerships. A review of the literature on AI is distilled to examine the limitations as well as the utility of AI. Through an effective use of AI, communities of knowledge can be fostered and the knowledge of communities can be valued and harvested to enhance the wellbeing of rural communities.Keywords: appreciative inquiry, wellbeing, rural community, community-university partnership

Public-private partnerships in China's urban water sector

During the past decades, the traditional state monopoly in urban water management has been debated heavily, resulting in different forms and degrees of private sector involvement across the globe. Since the 1990s, China has also started experiments with new modes of urban water service management and governance in which the private sector is involved. It is premature to conclude whether the various forms of private sector involvement will successfully overcome the major problems (capital shortage, inefficient operation, and service quality) in China¿s water sector. But at the same time, private sector involvement in water provisioning and waste water treatments seems to have become mainstream in transitional China

9 steps to scale climate-smart agriculture: Lessons and experiences from the climate-smart villages in My Loi, Vietnam and Guinayangan, Philippines

The Climate-Smart Village approach is a CCAFS agricultural research for development (AR4D) strategy for stimulating the scaling of climate-smart agriculture. CSVs are established in Southeast Asia through the CCAFS program to serve as sites for “testing, through participatory methods, technological and institutional options for generating evidence of CSA effectiveness as well as drawing out scaling lessons for policy makers from local to global levels (CCAFS, 2016). The CSVs in My Loi in Vietnam and Guinayangan in the Philippines were established following this strategy starting 2014 by the World Agroforestry (ICRAF) Vietnam and the International Institute for Rural Reconstruction, respectively. This guidebook showcases the common experiences of the IIRR and ICRAF in the Philippine and Vietnam CSVs, which are outlined in 5 major stages and broken into 9 steps