Getting the Goods on Social Capital1

Abstract This article presents an overview of the origins, development, rapid diffusion, and current usage of the concept of social capital in both the academic (research-oriented) and more applied (social policy) literature. Following a short quantitative survey of the appearance of the term in both theses and journals, various meanings of social capital are examined in the light of classical and contemporary sociological theory. Three main research approaches, which are based on the operationalization of social capital or its application as a heuristic device, are critically examined. These approaches are associated with the work ofJames Coleman, Pierre Bourdieu, and Robert Putnam, but there are also some references to the work of economists. The authors contend that, while social capital has value and appeal as a new term, basic theory needs greater development. In particular, attention should be paid to acknowledging the specific perspective on social capital that underlies its usage, the scale or level of analysis employed, and the value of a qualitative use of social capital.     

Influence of the sampling interval, decision limit and autocorrelation on the average run length in Cusum charts

This paper shows how the average run length for a one-sided Cusum chart varies as a function of the length of the sampling interval between consecutive observations, the decision limit for the Cusum statistic, and the amount of autocorrelation between successive observations. It is shown that the rate of false alarms can be decreased considerably, without modifying the rate of valid alarms, by decreasing the sampling interval and appropriately increasing the decision interval. It is also shown that this can be done even when the shorter sampling interval induces moderate autocorrelation between successive observations.     

Detecting possibly non-consecutive outliers in industrial time series

A method for robust estimation and multiple outlier detection in time series generated by autoregressive integrated moving average processes in industrial environments is developed. The procedure is based on reweighted maximum likelihood estimation using Huber or redescending weights and, therefore, generalizes the well-established robust M -estimation procedures used in the regression framework. When the scalar process is non-stationary, the computations required can be performed equally well using either rhe original undifferenced series or auxiliary differenced series. Whereas the latter alternative may be preferred for scalar series, the former might be extended to cope with vector partially non-stationary time series without differencing the series, thus avoiding non-invertibility and parameter identifiability problems caused by overdifferencing. The overall strategy is applied in two real industrial data sets.     

Cohort Changes in the Incidence of Care Need in West Germany Between 1986 and 2005

In Germany, the share of the older population has been continuously growing. Is the increase paralleled by a rising number of frail people, however? In search of an answer, we analyse the development of care need incidence in West Germany between 1986 and 2005 on the basis of longitudinal data from the German Socio-Economic Panel (SOEP). The results show a lower transition risk to care need for each successive cohort when all degrees of care need are taken into account. However, no change occurs when only severe care need is measured.     

Study of the quality of several asymptotic and near-exact approximations based on moments for the distribution of the Wilks Lambda statistic

In this paper a measure of proximity of distributions, when moments are known, is proposed. Based on cases where the exact distribution is known, evidence is given that the proposed measure is accurate to evaluate the proximity of quantiles (exact vs. approximated). The measure may be applied to compare asymptotic and near-exact approximations to distributions, in situations where although being known the exact moments, the exact distribution is not known or the expression for its probability density function is not known or too complicated to handle. In this paper the measure is applied to compare newly proposed asymptotic and near-exact approximations to the distribution of the Wilks Lambda statistic when both groups of variables have an odd number of variables. This measure is also applied to the study of several cases of telescopic near-exact approximations to the exact distribution of the Wilks Lambda statistic based on mixtures of generalized near-integer gamma distributions.     

Der Masterplan und sein Weg durch die Organisation

Organizations in the public sector, like the German police, are under increasing pressure to change in the face of new challenges. We discuss the complexity of change projects based on qualitative interviews with future top managers in the police. It emerges that employees do not faithfully implement top down change plans. Instead, they subject change plans to various adaptations based on their active sense-making which is influenced by cognitive and behavioral patterns of the organizational members. These micro processes of change severely restrict the plan-ability of change projects. Flexible and reflective procedures are required to successfully manage change, as plans are more often adapted as their champions ever intended.     

Field of Study and University Graduates' Early Employment Outcomes in Italy during 1995–2004

Abstract. In a period of expanding higher education, the field of study becomes a key determinant of university graduates' labour market success. In this paper, by means of multivariate analyses of the quality of graduates' early employment outcomes, we first describe how the effect of different fields of study on the university‐to‐work transition changed between 1995 and 2004 in Italy. Second, we put forward some alternative hypotheses to interpret the changes observed over time and assess which ones seem to be more consistent with the data.     

Landslide Risk Models for Decision Making

This contribution presents a quantitative procedure for landslide risk analysis and zoning considering hazard, exposure (or value of elements at risk), and vulnerability. The method provides the means to obtain landslide risk models (expressing expected damage due to landslides on material elements and economic activities in monetary terms, according to different scenarios and periods) useful to identify areas where mitigation efforts will be most cost effective. It allows identifying priority areas for the implementation of actions to reduce vulnerability (elements) or hazard (processes). The procedure proposed can also be used as a preventive tool, through its application to strategic environmental impact analysis (SEIA) of land-use plans. The underlying hypothesis is that reliable predictions about hazard and risk can be made using models based on a detailed analysis of past landslide occurrences in connection with conditioning factors and data on past damage. The results show that the approach proposed and the hypothesis formulated are essentially correct, providing estimates of the order of magnitude of expected losses for a given time period. Uncertainties, strengths, and shortcomings of the procedure and results obtained are discussed and potential lines of research to improve the models are indicated. Finally, comments and suggestions are provided to generalize this type of analysis.     

A Design Theory Approach to Building Strategic Network‐Based Customer Service Systems*

Customer service is a key component of a firm's value proposition and a fundamental driver of differentiation and competitive advantage in nearly every industry. Moreover, the relentless coevolution of service opportunities with novel and more powerful information technologies has made this area exciting for academic researchers who can contribute to shaping the design and management of future customer service systems. We engage in interdisciplinary research—across information systems, marketing, and computer science—in order to contribute to the service design and service management literature. Grounded in the design‐science perspective, our study leverages marketing theory on the service‐dominant logic and recent findings pertaining to the evolution of customer service systems. Our theorizing culminates with the articulation of four design principles. These design principles underlie the emerging class of customer service systems that, we believe, will enable firms to better compete in an environment characterized by an increase in customer centricity and in customers' ability to self‐serve and dynamically assemble the components of solutions that fit their needs. In this environment, customers retain control over their transactional data, as well as the timing and mode of their interactions with firms, as they increasingly gravitate toward integrated complete customer solutions rather than single products or services. Guided by these design principles, we iterated through, and evaluated, two instantiations of the class of systems we propose, before outlining implications and directions for further cross‐disciplinary scholarly research.