Learning from others and receiving support: the impact of personal networks on fertility intentions in Poland

Research about fertility has focused in the main on studying separately the influences of communication networks and social capital on reproductive behavior, but it has rarely tried to integrate both network properties theoretically or analytically. We therefore discuss a general model of purposeful behavior that perceives individuals’ subjective perceptions of the utilities of different courses of action to be affected by structures of interpersonal influence. Resources needed to realize desired goals are furthermore shaped by exchange relationships that build social capital. These considerations are empirically applied to explanations of the intentions of 758 Polish men and women ever to have a first, second, or third child. Personal networks are especially relevant for the considerations to have a first or a second child. The intentions of childless respondents are positively influenced by network partners that are in a similar stage of their reproductive biographies or that have already taken the step of having a first child. However, respondents with one child intend to have a second child with a higher probability the more they have access to fertility-related social capital. (Keywords: interpersonal influence, social capital, fertility, rational choice, behavioral intentions, Poland)Poland, fertility determinants, influence, interpersonal communication, social capital, social network

The role of structural embeddedness in an IT outsourcing network

The design of governance to safeguard against a vendor's opportunistic behaviour is one of the critical issues in information technology outsourcing (ITO) since this behaviour causes cost escalation and service debasement. The roles of structural embeddedness underlying network governance have been gaining its importance as complementary or substitutable governance in ITO. Our research attempts to reveal how structural embeddedness can affect the decision-makings of clients and vendors and their resulting outcomes in an ITO network and how these effects are moderated by various ITO network structures according to outsourced IT services. An agent-based simulation and game-theoretic approach are adopted to build a simulation model to describe ITO networks with various structures and ITO transactions between clients and vendors. Finally, the future research directions are discussed

Building capacity in climate change policy analysis and negotiation: methods and technologies

Capacity building is often cited as the reason “we cannot just pour money into developing countries” and why so many development projects fail because their design does not address local conditions. It is therefore a key technical and political concept in international development. Some of the poorest countries in the world are also some of the most vulnerable to the impacts of climate change. Their vulnerability is in part due to a lack of capacity to plan and anticipate the effects of climate change on crops, water resources, urban electricity demand etc. What capacities do these countries lack to deal with climate change? How will they cope? What steps can they take to reduce their vulnerability? This innovative and high-profile research project was part of a larger project (called C3D) and conducted with non-governmental organisations in Senegal, South Africa and Sri Lanka. The research involved several participatory workshops and a questionnaire to all three research centres

Getting Into Networks and Clusters: Evidence on the GNSS composite knowledge process in (and from) Midi-Pyrénées

This paper aims to contribute to the empirical identification of clusters by proposing methodological issues based on network analysis. We start with the detection of a composite knowledge process rather than a territorial one stricto sensu. Such a consideration allows us to avoid the overestimation of the role played by geographical proximity between agents, and grasp its ambivalence in knowledge relations. Networks and clusters correspond to the complex aggregation process of bi or n-lateral relations in which agents can play heterogeneous structural roles. Their empirical reconstitution requires thus to gather located relational data, whereas their structural properties analysis requires to compute a set of indexes developed in the field of the social network analysis. Our theoretical considerations are tested in the technological field of GNSS (Global Satellite Navigation Systems). We propose a sample of knowledge relations based on collaborative R&D projects and discuss how this sample is shaped and why we can assume its representativeness. The network we obtain allows us to show how the composite knowledge process gives rise to a structure with a peculiar combination of local and distant relations. Descriptive statistics and structural properties show the influence or the centrality of certain agents in the aggregate structure, and permit to discuss the complementarities between their heterogeneous knowledge profiles. Quantitative results are completed and confirmed by an interpretative discussion based on a run of semi-structured interviews. Concluding remarks provide theoretical feedbacks.Knowledge, Networks, Economic Geography, Cluster, GNSS

Expectation-driven interaction: a model based on Luhmann's contingency approach

We introduce an agent-based model of interaction, drawing on the contingency approach from Luhmann's theory of social systems. The agent interactions are defined by the exchange of distinct messages. Message selection is based on the history of the interaction and developed within the confines of the problem of double contingency. We examine interaction strategies in the light of the message-exchange description using analytical and computational methods.Comment: 37 pages, 16 Figures, to appear in Journal of Artificial Societies and Social Simulation

Buzz: Face-to-Face Contact and the Urban Economy

This paper argues that existing models of urban concentrations are incomplete unless grounded in the most fundamental aspect of proximity; face-to-face contact. Face-to-face contact has four main features; it is an efficient communication technology; it can help solve incentive problems; it can facilitate socialization and learning; and it provides psychological motivation. We discuss each of these features in turn, and develop formal economic models of two of them. Face-to-face is particularly important in environments where information is imperfect, rapidly changing, and not easily codified, key features of many creative activities.Agglomeration, clustering, urban economics, face-to-face

Conceptualizing the Role of Geographical Proximity in Project Based R&D Networks: A Literature Survey

Empirical evidence shows that research is being carried out more in cooperation or in collaboration with others, and the networks described by these collaborative research activities are becoming more and more complex. This phenomenon brings about new strands of research questions and opens up a different research context in the area of geography of innovation. The recent set of literature addressing these new issues shows a high degree of variation in terms of focus, approaches and methodology. Hence to elucidate the relationship between networks and geography it is crucial to have a review them. In this regard, this study focuses on a particular type of networks, namely, project based R&D networks and aims at describing the state-of-the-art in explaining the specificity of geography in formation and evolution of such networks. Towards this aim, we framed the discussion along four lenses: the specificity of geography in partner choice, in successful execution of the collaboration, in the resulting innovation performance both at the organizational and regional level, and the spatio-temporal evolution of networks. The overview provided by the survey is suggestive regarding the theorization of geography and network relationship, and informative regarding the issues demanding further research effort, and promising extensions.

The Global People competency framework: competencies for effective intercultural interaction

This Competency Framework explains the competencies that are needed for effective intercultural interaction. In contrast to the Life Cycle Model for Intercultural Partnerships (see the Global People Toolbook) which presents the competencies by stage (i.e. key competencies are identified for each stage of a project life cycle), the Competency Framework presents them by clusters. Intercultural competencies can be grouped into four interrelated clusters, according to the aspect of competence they affect or relate to: - Knowledge and ideas - Communication - Relationships - Personal qualities and dispositions We overview these four clusters in Section 2. In Sections 3 – 6, for each competency cluster, we list the key component competencies, along with descriptive explanations of each of them. We also provide case study examples from the eChina-UK Programme to illustrate one or more of the following: - How the competency manifests itself; - Why the competency is important or is needed; - How the competency can be displayed in behaviour; - What problems may occur when the competency is not present. The Competency Framework is thus useful for those who wish to gain a systematic, in-depth understanding of intercultural effectiveness and the competencies need to achieve it

From M-form to N-form: The Structure of Multinational Corporations

The purpose of this study is to map, illuminate and explain the recent development of the strategies, structure and control of multinational corporations. The aim is to identify crucial problems in managing and organizing multinational corporations and describe what sort of approaches are used and proposed to solve these problems. This is a literature study where an inventory and critical examination of the recent research on the strategies, structure and control of multinational corporations. The emphasis in the study is on research carried out in the last ten years. It starts out with a summary of the early research on multinational corporations, proceeds to an analysis of the process school, and ends up with a discussion about organizing international operations from a network perspective.MNC; multinational structure; international; strategy; transnational; subsidiary; global

Expectation-Driven Interaction: a Model Based on Luhmann's Contingency Approach

We introduce an agent-based model of interaction, drawing on the contingency approach from Luhmann\'s theory of social systems. The agent interactions are defined by the exchange of distinct messages. Message selection is based on the history of the interaction and developed within the confines of the problem of double contingency. We examine interaction strategies in the light of the message-exchange description using analytical and computational methods.Contingency, Message Exchange Model, Interaction, Expectation-Expectation, Asymptotic Analysis