Good boards are strategic : what does that mean for sport governance?

To learn more about the governance of sport organizations, this study explored what meaning board members of national sport organizations (NSOs) attach to the concept of "strategic capability". In so doing, the inquiry also identified factors considered to constrain or enable board strategic function. This paper draws on a body of knowledge developed over 38 years on board strategic function, primarily from the commercial setting but also from the emerging body of work in the nonprofit and sport governance setting. Located within the interpretive research paradigm this study engaged a range of different qualitative methods including cognitive mapping and visual imagery. Working across two NSOs in New Zealand, four elements were generated that served as reference points in mapping out the meaning of a strategically able board. These were categorized as the need to have capable people, a frame of reference, facilitative board processes, and facilitative regional relationships.

The allometric relationship between mean fibre diameter of mohair and the fleece-free liveweight of Angora goats over their lifetime

As mean fibre diameter (MFD) is the primary determinant of mohair price we aimed to quantify the lifetime changes in mohair MFDas Angora goats aged and grew. Measurements were made over 12 shearing periods on a population of Angora goats representing the current range and diversity of genetic origins including South African, Texan and interbred admixtures of these and Australian sources. Records of sire, dam, birthweight, birth parity, liveweight, fleece growth and fleece quality were taken for does and castrated males (wethers) (n = 267 animals). Fleece-free liveweights (FFL_wt) were determined for each goat at shearing time by subtracting the greasy fleece weight from the liveweight recorded immediately before shearing. A restricted maximum likelihood growth curve model was developed for relating MFD to FFL_wt, age and other measurements.Asimple way of describing the results is:MFD= k (FFL_wt)b E; where k is a parameter that can vary in a systematic way with shearing(age), breed, weaning weight, sire, dam and individual; b is a parameter that is the same for nearly the whole study; and E are independent errors from a log-normal distribution. The analysis shows that ^b = 0.34, with s.e. (^b) = 0.021. Thus, mohair MFD was allometrically related to the cube root of FFLwt over the lifetime of Angora goats. However, the allometric proportionality constant differed in a systematic way with age at shearing, genetic strain, weaning weight, sire, dam and individual. For Texan-breed goats, MFD decreased as weaning weight increased (P = 0.00016). The findings indicate that management factors that affect liveweight and weaning weight have lifetime effects on mohair fibre diameter and therefore the value of mohair and the profitability of the mohair enterprise.

What does a museum mean? A narrative approach to museum impact

This paper presents ‘narrative’ as a theoretically informed qualitative perspective to explore and substantiate such abstract concept as ‘museum impact’. It argues that the impact of museums is best understood via the meanings visitors make and negotiate in the long-term. This provides critical insights into what a museum visit means and how its impact is negotiated within time and space. I lay out the theoretical rationale and methodological approach for the research project underpinning this paper while future publications will provide empirical findings and theoretical conclusions.

Wind farm power uncertainty quantification using a mean-variance estimation method

This paper proposes an innovative optimized parametric method for construction of prediction intervals (PIs) for uncertainty quantification. The mean-variance estimation (MVE) method employs two separate neural network (NN) models to estimate the mean and variance of targets. A new training method is developed in this study that adjusts parameters of NN models through minimization of a PI-based cost functions. A simulated annealing method is applied for minimization of the nonlinear non-differentiable cost function. The performance of the proposed method for PI construction is examined using monthly data sets taken from a wind farm in Australia. PIs for the wind farm power generation are constructed with five confidence levels between 50% and 90%. Demonstrated results indicate that valid PIs constructed using the optimized MVE method have a quality much better than the traditional MVE-based PIs.

Trust in strategic alliances: what does it mean and how is it built?

Informed by social exchange theory (SET) this study examines the role of trust in strategic alliances. Interviews were conducted with 17 participants who were strategic alliance managers in their organization. The study finds that trust is important to strategic alliance managers, and without it alliance managers would find it difficult to keep their alliance going. Trust is built over time, and based on the past experiences that the alliance manager has with their partner. The study found that prior networks, timely and appropriate communication and information exchange, fairness preservation and inter-firm adaptation were important in developing trust in the strategic alliance.

A generalization of the Bonferroni mean based on partitions

The mean defined by Bonferroni in 1950 (known by the same name) averages all non-identical product pairs of the inputs. Its generalizations to date have been able to capture unique behavior that may be desired in some decision-making contexts such as the ability to model mandatory requirements. In this paper, we propose a composition that averages conjunctions between the respective means of a designated subset-size partition. We investigate the behavior of such a function and note the relationship within a given family as the subset size is changed. We found that the proposed function is able to more intuitively handle multiple mandatory requirements or mandatory input sets.

Consistency and stability in aggregation operators : an application to missing data problems

In this work we analyze the key issue of the relationship that should hold between the operators in a family {An} of aggregation operators in order to understand they properly define a consistent whole. Here we extend some of the ideas about stability of a family of aggregation operators into a more general framework, formally defining the notions of i – L and j – R strict stability for families of aggregation operators. The notion of strict stability of order k is introduced as well. Finally, we also present an application of the strict stability conditions to deal with missing data problems in an information aggregation process. For this analysis, we have focused in the weighted mean family and the quasi-arithmetic weighted means families.

Knowing doesn’t mean doing—bridging the colorectal cancer screening gap

Two behavioural approaches to influence colorectal cancer screening uptake were investigated. Results suggest that the impact of messages that address (1) ease and convenience and (2) social support and endorsement may depend upon the extent to which they successfully address concerns specific to an individual’s current state of readiness to participate.