An algorithm for estimating Box–Cox transformation parameter in ANOVA

In this study, we construct a feasible region, in which we maximize the likelihood function, by using Shapiro–Wilk and Bartlett's test statistics to obtain Box–Cox power transformation parameter for solving the issues of non-normality and/or heterogeneity of variances in analysis of variance (ANOVA). Simulation studies illustrate that the proposed approach is more successful in attaining normality and variance stabilization, and is at least as good as the usual maximum likelihood estimation (MLE) in estimating the transformation parameter for different conditions. Our proposed method is illustrated on two real-life datasets. Moreover, the proposed algorithm is released under R package AID under the name of “boxcoxfr” for implementation.     

Violence Regimes: A Useful Concept for Social Politics,Social Analysis,and Social Theory

Theory and Society - This paper critically interrogates the usefulness of the concept of violence regimes for social politics, social analysis, and social theory. In the first case, violence...     

Exploring the contributions of human and social capital to productivity

In this article we investigate how human and social capital contribute to individual productivity. We study three firms that complete all their tasks as projects. The employees in all firms initiate and organise their projects. We collected archival data from the firms on performance, human capital, tenure, gender and their project activities. Social network data are generated from interviews and a survey. We find that social capital is the most important factor to determine productivity. We found mixed effects from human capital; only in one firm did human capital have a noticeable effect on productivity; tenure has no effects on productivity.     

Volatility and Growth in Populations of Rural Associations

This article uses unique community‐level data aggregated from censuses of associations to analyze growth and volatility in rural populations of grassroots associations. A qualitative comparative analysis (QCA) shows that the two main paths to growth were (1) centralization in polycephalous (multicentered) municipalities and (2) population growth in secular municipalities. High volatility occurs in (1) societies exposed to metropolitan sprawl and (2) traditional peripheral communities with high organizational density and little sociocultural change. Despite this volatility, associational life expanded in the sprawling areas that underwent extensive sociocultural change as well as in the peripheral areas where centralization took place. By contrast, more static peripheries experienced decline. The findings challenge romanticized images of stable, small‐scale communities and nuance the negative view on metropolitan sprawl.     

MASCOT: An agent-based architecture for dynamic supply chain creation and coordination in the internet economy

The emerging global internet economy will increasingly put a premium on the ability of companies to quickly and accurately evaluate new market opportunities, new product/ subcomponent designs, and other strategic business decisions (e.g. make-or-buy) in coordination with potential supply chain partners. It also requires that companies be able to effectively and efficiently coordinate activities, e.g. production and transportation across supply chains that are dynamically set up in response to constantly changing and increasingly customized market requirements. This paper provides an overview of MASCOT ('multi-agent supply chain cordination tool'), a reconfigurable, multi-level, agent-based planning and scheduling architecture aimed at supporting these functionalities. It reviews key innovative elements of the MASCOT architecture with a special emphasis on its support of realtime mixed-initiative 'what-if' functionalities, enabling endusers at different levels within the architecture to rapidly     

Conditional density estimation using the local Gaussian correlation

Let \(\mathbf {X} = (X_1,\ldots ,X_p)\) be a stochastic vector having joint density function \(f_{\mathbf {X}}(\mathbf {x})\) with partitions \(\mathbf {X}_1 = (X_1,\ldots ,X_k)\) and \(\mathbf {X}_2 = (X_{k+1},\ldots ,X_p)\). A new method for estimating the conditional density function of \(\mathbf {X}_1\) given \(\mathbf {X}_2\) is presented. It is based on locally Gaussian approximations, but simplified in order to tackle the curse of dimensionality in multivariate applications, where both response and explanatory variables can be vectors. We compare our method to some available competitors, and the error of approximation is shown to be small in a series of examples using real and simulated data, and the estimator is shown to be particularly robust against noise caused by independent variables. We also present examples of practical applications of our conditional density estimator in the analysis of time series. Typical values for k in our examples are 1 and 2, and we include simulation experiments with values of p up to 6. Large sample theory is established under a strong mixing condition.     

Passive Support: No Support at All?

Several scholars have pointed out a shift from classic secondary associations to tertiary organizations based on passive support in Western countries. This development necessitates a better understanding of passive support within social science and voluntary sector management, on which strong opinions are expressed in the literature. This article attempts to contribute to the empirical basis for such opinions. We suggest that the current anxieties concerning the future of democracy if activity rates drop may be exaggerated.     

Adopting and Refining e-services — the Role of Organization Size

Information and communication technology (ICT) has become increasingly important in public service provision (e-services). Although most studies conclude that large organizations have higher quality e-service systems, few have studied if the effect of size persist over time. Empirically, this article reports how organizational size affects adoption and development of e-services in all Norwegian municipalities over a 13 year period (2001–2013). Seven different studies, conducted by four independent institutions, mapped the existence and quality of municipal web-sites. Controlling for several system characteristics, the study indicates that size has ambiguous effects concerning adoption, but a strong and positive effect on the quality of e-services.     

Survival in local voluntary associations

This article uses longitudinal data to explore the antecedents of survival among local voluntary associations. The literature distinguishes between deterministic and voluntaristic accounts of organizational survival. In a deterministic perspective, external selection processes determine whether organizations persevere. In a voluntaristic approach, strategic choices and organizational design are paramount. The analyses show that both perspectives have explanatory power. When it comes to avoiding organizational death, organizations can influence their destiny substantially by being extroverted, selecting a diverse and qualified board, and establishing ties to higher organizational levels.