Trust,Social Capital,and the Coordination of Relationships Between the Members of Cooperatives: A Comparison Between Member-Focused Cooperatives and Third-Party-Focused Cooperatives

In recent years, nonprofit scholars have increasingly studied the phenomenon of social enterprises which has become a generic term describing a wider reorientation among third sector organizations. The emergence of social enterprises has also led to a dynamic of hybridization and broadening in the cooperative sector, similar to an earlier dynamic of “economization”, but this time on the other end of the organizational spectrum. This paper aims at developing a fine-grained conceptual understanding of how this organizational dynamic is shaped in terms of member coordination, thus contributing to a more comprehensive theoretical understanding of different organizational forms of cooperatives. Specifically, to highlight the difference to traditional member-focused cooperatives, the paper introduces the term third-party-focused cooperatives for those social enterprises which emphasize economic goals as well as control and ownership by a particular community (typically place-based). The key result of the paper is that with the shift from member- to community-focus in cooperatives, the main coordination mechanism becomes one of norm-based trust on the basis of generalized reciprocity. In contrast to traditional maxim-based trust member coordination on the basis of relation-specific reciprocity, this enables third-party-focused cooperatives to mobilize bridging and linking social capital, facilitating collective action aimed towards the community interest. The findings suggest that this identity shift requires a mutual re-positioning between the cooperative and the nonprofit sector, in terms of umbrellas as well as regulatory and legislative bodies.     

Residualization is not the answer: Rethinking how to address multicollinearity

Here I show that a commonly used procedure to address problems stemming from collinearity and multicollinearity among independent variables in regression analysis, “residualization”, leads to biased coefficient and standard error estimates and does not address the fundamental problem of collinearity, which is a lack of information. I demonstrate this using visual representations of collinearity, hypothetical experimental designs, and analyses of both artificial and real world data. I conclude by noting the importance of examining methodological practices to ensure that their validity can be established based on rational criteria.     

A UNIVERSITY EXAMINATION-SCHEDULING MODEL TO MINIMIZE MULTIPLE-EXAMINATION DAYS FOR STUDENTS

Scheduling university examinations is often done with the objective of spreading a student's required examinations over an examination week. That is the equivalent of the problem of minimizing the number of examinations a student must take on any one day. An approach to scheduling exams which relates the problem to the classical assignment problem is discussed. The model developed is a symmetry-constrained assignment model, and the solution method requires use of a branch-and-bound algorithm. Results from application of the algorithm to six semesters of actual data are presented.     

Concepts,Theory, and Techniques PRINCIPLES OF MULTIOBJECTIVE OPTIMIZATION*

This paper attempts to isolate and analyze the principal ideas of multiobjective optimization. We do this without casting aspersions on single-objective optimization or championing any one multiobjective technique. We examine each fundamental idea for strengths and weaknesses and subject two—efficiency and utility—to extended consideration. Some general recommendations are made in light of this analysis. Besides the simple advice to retain single-objective optimization as a possible approach, we suggest that three broad classes of multiobjective techniques are very promising in terms of reliably, and believably, achieving a most preferred solution. These are: (1) partial generation of the efficient set, a rubric we use to unify a wide spectrum of both interactive and analytic methods; (2) explicit utility maximization, a much-overlooked approach combining multiattribute decision theory and mathematical programming; and (3) interactive implicit utility maximization, the popular class of methods introduced by Geoffrion, Dyer, and Feinberg [24] and extended significantly by others.     

The Relative Weights of Direct and Indirect Experiences in the Formation of Environmental Risk Beliefs

Direct experiences, we find, influence environmental risk beliefs more than the indirect experiences derived from outcomes to others. This disparity could have a rational basis. Or it could be based on behavioral proclivities in accord with the well‐established availability heuristic or the vested‐interest heuristic, which we introduce in this article. Using original data from a large, nationally representative sample, this article examines the perception of, and responses to, morbidity risks from tap water. Direct experiences have a stronger and more consistent effect on different measures of risk belief. Direct experiences also boost the precautionary response of drinking bottled water and drinking filtered water, while indirect experiences do not. These results are consistent with the hypothesized neglect of indirect experiences in other risk contexts, such as climate change.     

Conditional moving linear regression: Modeling the recruitment process for ALLHAT

Effective recruitment is a prerequisite for successful execution of a clinical trial. ALLHAT, a large hypertension treatment trial (N = 42,418), provided an opportunity to evaluate adaptive modeling of recruitment processes using conditional moving linear regression. Our statistical modeling of recruitment, comparing Brownian and fractional Brownian motion, indicates that fractional Brownian motion combined with moving linear regression is better than classic Brownian motion in terms of higher conditional probability of achieving a global recruitment goal in 4-week ahead projections. Further research is needed to evaluate how recruitment modeling can assist clinical trialists in planning and executing clinical trials.     

Using the Delphi Method to Classify Medical Specialties

One medical specialty classification system applicable for research and career counseling is the person‐oriented versus technique‐oriented taxonomy. Given that the model was conceptualized in the 1960s, verification based on how medical specialties are practiced and viewed today is necessary. Five specialists in medical career development and advising verified the categorization of specialties. Based on their review, 100% consensus was reached regarding grouping of specialties. This outcome validates the taxonomy of medical specialties and supports its continued use for medical career specialty advising and choice.     

Melvin Pollner and the Passing of an American Sociologist

Melvin Pollner was a teacher, scholar, and astute academician. He was also a seeker regarding the nature of humanity. As a seeker, he saw past the relative certainty demanded of academic publishing, a point reflected in his final deliberations published for the first time in this volume, where he interrogates Harold Garfinkel, ethnomethodology, and Formal Analysis.     

Resiling From “Resilience”

This is a sketch for a critique of “resilience” and “resiliency” as keywords of neoliberal newspeak (officialese, langue de bois) under the innocuous banner of which all manner of business is now being transacted. I register the rapid extension of resilience discourse, note the socioeconomic context of its rise to prominence, and identify its implicit political assumptions and its social and subjective effects and side effects.