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on Social Norms and Social Capital |
| By: | Manuel Förster (CES - Centre d'économie de la Sorbonne - CNRS : UMR8174 - Université Paris I - Panthéon-Sorbonne, CORE - Center of Operation Research and Econometrics [Louvain] - Université Catholique de Louvain (UCL) - Belgique); Ana Mauleon (CORE - Center of Operation Research and Econometrics [Louvain] - Université Catholique de Louvain (UCL) - Belgique, CEREC - Université Saint-Louis - Bruxelles); Vincent Vannetelbosch (CORE - Center of Operation Research and Econometrics [Louvain] - Université Catholique de Louvain (UCL) - Belgique, CEREC - Université Saint-Louis - Bruxelles) |
| Abstract: | We investigate the role of manipulation in a model of opinion formation where agents have opinions about some common question of interest. Agents repeatedly communicate with their neighbors in the social network, can exert some effort to manipulate the trust of others, and update their opinions taking weighted averages of neighbors' opinions. The incentives to manipulate are given by the agents' preferences. We show that manipulation can modify the trust structure and lead to a connected society, and thus, make the society reaching a consensus. Manipulation fosters opinion leadership, but the manipulated agent may even gain influence on the long-run opinions. In sufficiently homophilic societies, manipulation accelerates (slows down) convergence if it decreases (increases) homophily. Finally, we investigate the tension between information aggregation and spread of misinformation. We find that if the ability of the manipulating agent is weak and the agents underselling (overselling) their information gain (lose) overall influence, then manipulation reduces misinformation and agents converge jointly to more accurate opinions about some underlying true state. |
| Keywords: | Social networks; trust; manipulation; opinion leadership; consensus; wisdom of crowds |
| Date: | 2013–09 |
| URL: | http://d.repec.org/n?u=RePEc:hal:cesptp:halshs-00881145&r=soc |
| By: | Ryan W. Buell (Harvard Business School, Technology and Operations Management Unit); Michael I. Norton (Harvard Business School, Marketing Unit) |
| Abstract: | As Americans' trust in government nears historic lows, frustration with government performance approaches record highs. One explanation for this trend is that citizens may be unaware of both the services provided by government and the impact of those services on their lives. In an experiment, Boston-area residents interacted with a website that visualizes both service requests submitted by the public (e.g., potholes and broken streetlamps) and efforts by the City of Boston to address them. Some participants observed a count of new, open, and recently closed service requests, while others viewed these requests visualized on an interactive map that included details and images of the work being performed. Residents who experienced this "operational transparency" in government services - seeing the work that government is doing - expressed more positive attitudes toward government and greater support for maintaining or expanding the scale of government programs. The effect of transparency on support for government programs was equivalent to a roughly 20% decline in conservatism on a political ideology scale. We further demonstrate that positive attitudes about government partially mediate the relationship between operational transparency and support for maintaining and expanding government programs. While transparency is customarily trained on elected officials as a means of ethical oversight, our research documents the benefits of increased transparency into the delivery of government services. |
| Date: | 2013–11 |
| URL: | http://d.repec.org/n?u=RePEc:hbs:wpaper:14-034&r=soc |
| By: | Ann Carpenter |
| Abstract: | Communities have faced a variety of crises in recent decades, including more frequent and severe natural disasters. As applied to disasters, resilience entails the ability of a community to rebound following a hurricane, earthquake, or other disturbance. Given the importance of resilience in promoting an effective recovery, the factors that contribute to community resilience are of great interest to scholars and practitioners in many fields. Recent work has examined, for example, socioeconomic indicators that contribute to greater social vulnerability and organizational structures that contribute to a more effective recovery. The importance of strong social networks in resilience is among the most oft-repeated lessons learned in recent scholarship. This paper examines the intersection of three connected threads in the literature to understand one particular aspect of resilience: how the built environment contributes to greater resilience by supporting and encouraging strong social networks. Given that social networks positively influence resilience and that the built environment exerts influence on social networks, this literature review examines evidence linking strong social networks, a varied and integrated built environment, and greater resilience. |
| Date: | 2013 |
| URL: | http://d.repec.org/n?u=RePEc:fip:fedacd:2013-02&r=soc |
| By: | Karl Aiginger; Susanne Bärenthaler-Sieber; Johanna Vogel |
| Abstract: | This paper aims to redefine the term competitiveness to enhance its usefulness for the evaluation of country performance and for policy conclusions. We attempt to establish a definition that is adequate if economic policy strives for a new growth path that is more dynamic, socially inclusive and ecologically sustainable. We tentatively apply the proposed definition to evaluate the "competitiveness" of EU member states as well as to compare Europe's competitiveness with that of the US, Switzerland, Japan and China, where possible. In the first part of the paper, we examine the evolution of the concept from a focus on "inputs" at the firm level (price or cost competitiveness) to economic structure and capabilities at the country level and finally to "outcome" competitiveness, where outcomes are defined in a broad sense and in the context of the WWWforEurope project. We propose to define competitiveness as the "ability of a country (region, location) to deliver the beyond-GDP goals for its citizens". In the second part of the paper, the performance of the EU-27 countries is assessed along the dimensions described above. We begin with price competitiveness and then proceed to economic structure and countries’ capabilities regarding innovation, education, the social system, institutions and environmental ambition. We conclude with outcome competitiveness in terms of economic, social and ecological outcomes. Overall, we compile a database of 68 indicators that describe these different aspects of competitiveness. In the third part of the paper, we investigate empirically the relationship between "outcome" and "input" competitiveness for the EU-27 using panel data analysis for the period from 2000 to 2010. We construct a composite indicator for outcome competitiveness consisting of income, social and ecological pillars, following the beyond-GDP literature. This measure is then econometrically related to composite indicators of the three groups of input indicators: price competitiveness, economic structure, and capabilities. The results of panel regressions suggest that both economic structure and capabilities on aggregate are positively related to our measure of outcome competitiveness, while a negative relationship is found for the wage component of price competitiveness. Among the different dimensions of capabilities, ecological ambition and institutions are positively associated with outcome competitiveness. Overall, we conclude that a narrow focus on the price component of competitiveness neglects other aspects of the concept that are likely to be particularly important for high-income economies like the EU-27. |
| Keywords: | Competitiveness, economic growth path, industrial policy, social capital as growth driver, sustainable growth |
| JEL: | O25 L16 |
| Date: | 2013–10 |
| URL: | http://d.repec.org/n?u=RePEc:feu:wfewop:y:2013:m:10:d:0:i:44&r=soc |
| By: | Belik, Ivan (Dept. of Business and Management Science, Norwegian School of Economics); Hexmoor, Henry (Dept. of Computer Science, Southern Illinois University at Carbondale) |
| Abstract: | The analysis of social reasoning is at the core of understanding how to manage social networks. Since interpersonal relations are composed of multiple factors with different nature (i.e., structural and social factors), we explore their influence on the strategizing processes in social networks. We formalize interpersonal relations using the methods of structural and social analysis. As a part of the research, we develop the soft-ware application for the numerical visualization of the social network functioning based on the proposed mechanism. |
| Keywords: | Agent’s power; social networks; structural centrality; trust |
| JEL: | Z13 |
| Date: | 2013–10–25 |
| URL: | http://d.repec.org/n?u=RePEc:hhs:nhhfms:2013_011&r=soc |
| By: | Hoorn, André van (Groningen University) |
| Abstract: | We open the black box of what goes on in firms in terms of management of their operations. Work autonomy is a key aspect of firm organization and we test the hypothesis that societal trust affects the level of autonomy that firms grant to their employees. Analysis of up to 189,213 individuals from 30 countries shows that trust is indeed highly conducive to work autonomy. This result is robust to controlling for a wide range of other features of countries? institutional environment, including measures of labor regulations and institutional quality. Our findings highlight the importance of informal institutions such as societal trust in shaping economic activity. |
| Date: | 2013 |
| URL: | http://d.repec.org/n?u=RePEc:dgr:rugsom:13015-gem&r=soc |
| By: | Valeria Ivaniushina (Sociology of Education and Science Lab, National Research University Higher School of Economics, St. Petersburg, Senior Researcher.); Daniel Alexandrov (Sociology of Education and Science Lab, National Research University Higher School of Economics, St. Petersburg, Professor.) |
| Abstract: | This article analyzes student pro-school/anti-school attitudes on different levels and explores their relation to educational outcomes. We examine the individual level, school level, and clique level predictors (clique is defined as a tight social group within a class social network). Cliques were identified using special software called Kliquefinder. We use multi-level regression approach on a sample of 7300 students from 104 public schools from St.Petersburg. Our findings show that: 1.) Socio-economic differentiation of Russian schools does not lead to a polarization of pro-school/anti-school attitudes in different types of schools; 2.) The polarization of attitudes emerges and is maintained at the clique level; and, 3.) Clique attitudes have a significant impact on educational outcomes (net of a student’s socio-demographic characteristics and individual attitudes). |
| Keywords: | pro-school/anti-school culture, peer effects, social network analysis, cliques. |
| JEL: | I21 C12 |
| Date: | 2013 |
| URL: | http://d.repec.org/n?u=RePEc:hig:wpaper:09edu2013&r=soc |
| By: | Ravanel, M. |
| Abstract: | In this paper, I study how the CEO's election can be biased if some directors in the board belong to the same network. I use a static Bayesian game. Directors want to elect the best candidate but they also want to vote for the winner. In that context, results show that, when no candidate is part of the network, boards with a network perform better in electing the right candidate. On the other hand, it becomes detrimental for stockholders if one candidate is part of the network. Indeed, compared to a situation where there are no interconnections between directors, the directors who are members of a network vote more often for the candidate they think is best, rather than for the one they think might win. The ones who are not part of the network follow their lead. Thus the network has power on the result of the election and therefore limits the power of the future CEO. |
| Keywords: | Networks, corporate governance. |
| JEL: | D71 G34 Z13 |
| Date: | 2013 |
| URL: | http://d.repec.org/n?u=RePEc:bfr:banfra:459&r=soc |