Spatial approaches to social work – theoretical foundations and implications for practice and research

ABSTRACT

Spatial approaches have inspired and grounded the social sciences and social geography already for a longer time. Beyond these models, the theory discourse on social work developed innovative concepts and models of socio-spatial approaches. They set a special focus on aspects of individual and social development, the concept of acquirement and emancipatory approaches to spatial design. For interventions, special methods for socio-spatial analyses were developed. This article reflects the main approaches of this theory discourse and asks for its key implications for social work practice and research.     

Capturing Relatedness: Comprehensive Measures based on Secondary Data

This paper presents new measures of technological and customer‐side relatedness constructed from widely available secondary data. Relatedness is a concept central to predicting the existence and nature of a relationship between corporate diversification and firm performance. Yet, finding appropriate measures has been an ongoing struggle. The widely used SIC‐based entropy measure has low construct validity, and survey‐based measures are hard to replicate across firms and industries and over time. The measures we develop significantly outperform established measures in explaining variation in firm performance across firms and over time, and both sources of relatedness are found to be independent and significant explanations of firm performance.     

Rush and Be Wrong or Wait and Be Late? A Model of Information in Collaborative Processes

Business processes have become more simultaneous and collaborative in the recent past. In simultaneous processes, multiple parties must adapt to one another in real time as decisions evolve. For example, New Product Development (NPD) requires collaboration in the context of Concurrent Engineering, and Supply Chain Management (SCM) in the context of collaborative planning. In both cases, parties must modify decisions based on preliminary information, information that is not fully precise or stable, about what the other parties are doing. This article develops a generalized model of real‐time decision making based on preliminary information, which applies both to NPD and SCM. The model offers insights into when to commit to a course of action, and we derive seven principles that help in dealing with preliminary information.     

Research and development project selection and resource allocation: a review of quantitative modelling approaches

This paper reviews the literature on quantitative modelling for research and development (R&;D) project selection and resource allocation. The topic has been a subject of operations research for about four decades. Its importance stems from the fact that R&D projects are a core element of corporate renewal, heavily influence a firm's market success and, if not properly chosen and trimmed, may waste large amounts of resources or even ruin the enterprise. Our survey classifies and characterizes the various modelling approaches.     

Who Protests in America: An Analysis of Three Political Alternatives—Inaction,Institutionalized Politics,or Protest

Theories of social movements and collective action typically present social protest as one of three alternatives available to the individual: inaction, institutionalized political action, or protest. These political alternatives are rarely considered simultaneously nor are they modeled explicitly. In this paper we make use of survey data from a representative sample of the United States population. We employ multinomial logistic regression to determine what differentiates those who protest from those who engage only in institutionalized politics and from those who engage in no political action. We find that those who engage in social protest are similar in many respects to those who engage actively in institutionalized politics, yet education on social and political issues, participation in community organizations, and frequent church attendance increases the likelihood that individuals will engage in protest relative to institutionalized politics.     

Detecting mean increases in Poisson INAR(1) processes with EWMA control charts

Processes of serially dependent Poisson counts are commonly observed in real-world applications and can often be modeled by the first-order integer-valued autoregressive (INAR) model. For detecting positive shifts in the mean of a Poisson INAR(1) process, we propose the one-sided s exponentially weighted moving average (EWMA) control chart, which is based on a new type of rounding operation. The s-EWMA chart allows computing average run length (ARLs) exactly and efficiently with a Markov chain approach. Using an implementation of this procedure for ARL computation, the s-EWMA chart is easily designed, which is demonstrated with a real-data example. Based on an extensive study of ARLs, the out-of-control performance of the chart is analyzed and compared with that of a c chart and a one-sided cumulative sum (CUSUM) chart. We also investigate the robustness of the chart against departures from the assumed Poisson marginal distribution.     

What explains frontline workers' views on poverty? A comparison of three types of welfare sector institutions

The study analysed views on poverty among Finnish frontline workers in three welfare sector institutions. Two different institutional logics, universal and selective, and two sectors, the public and the voluntary, were represented. A nationwide survey among social security officials, municipal social workers and diaconal workers was utilised (N = 2,124). The methods applied included factor analysis, the examination of means and multivariate analysis of variance. Frontline workers were found to support structural reasons for poverty regardless of institutional affiliation. Analyses, however, also revealed significant differences between the institutions, but not of the kind expected. Social security officials, working in a universal institution, were less likely to endorse structural factors and more likely to endorse individualistic poverty explanations than were social and diaconal workers. Type of education and personal political ideology, respectively, were also found to be of significant importance for poverty perceptions, independent of institutional logic.     

Inequality aversion and antisocial punishment

Antisocial punishment—punishment of pro-social cooperators—has shown to be detrimental for the efficiency of informal punishment mechanisms in public goods games. The motives behind antisocial punishment acts are not yet well understood. This article shows that inequality aversion predicts antisocial punishment in public goods games with punishment. The model by Fehr and Schmidt (Q J Econ 114(3): 817–868, 1999) allows to derive conditions under which antisocial punishment occurs. With data from three studies on public goods games with punishment I evaluate the predictions. A majority of the observed antisocial punishment acts are not compatible with inequality aversion. These results suggest that the desire to equalize payoffs is not a major determinant of antisocial punishment.     

Flexible pair-copula estimation in D-vines using bivariate penalized splines

The paper presents a new method for flexible fitting of D-vines. Pair-copulas are estimated semi-parametrically using penalized Bernstein polynomials or constant and linear B-splines, respectively, as spline bases in each knot of the D-vine throughout each level. A penalty induce smoothness of the fit while the high dimensional spline basis guarantees flexibility. To ensure uniform univariate margins of each pair-copula, linear constraints are placed on the spline coefficients and quadratic programming is used to fit the model. The amount of penalizations for each pair-copula is driven by a penalty parameter which is selected in a numerically efficient way. Simulations and practical examples accompany the presentation.