Customer satisfaction and organisational justice

Applies organisational justice theory to facilities management with the aim of increasing customer satisfaction with the service received. Provides an overview of organisational justice theory, and reviews the numerous different forms that this may take. Although there is strong theoretical support for participative decision making, in practice it often leads to conflict and delays. Two-way communication appears to represent the most effective form. The conclusions are based upon theoretical support as well as semi-structured interviews and observations in an organisational setting. The conclusions drawn do not have the benefits of more objective quantitative research methods. Contributes to practical understanding of how to maintain customer satisfaction in the facilities management industry and the theoretical reasons why the proposed methods will be effective. Argues that the impact of organisational justice on employee satisfaction can be applied to customer satisfaction with specific reference to facilities management.

Doctoral supervision of colleagues: peeling off the veneer of satisfaction and competence

The nexus of teaching, administration and research activities engaged in by academic staff in higher education means that each individual plays a multitude of roles in relation to colleagues, producing inevitable tensions. One role relationship that epitomizes this extraordinary juggling task is that of doctoral supervisor/supervisee, when both are academic staff in the same institution. The last 10 years has seen an upsurge of research interest in doctoral research students, and government and funding bodies have imposed ever more stringent requirements on supervisors. However, staff pairings have been ignored in this literature and research. This article reports on an exploration that seeks to redress this omission by giving voice to the participants (colleague supervisor or research student), allowing them to articulate constructs about what may be unique in the interaction, thus highlighting factors that support or impede success in the enterprise.

Doctoral supervision of colleagues: peeling off the veneer of satisfaction and competence

The nexus of teaching, administration and research activities engaged in by academic staff in higher education means that each individual plays a multitude of roles in relation to colleagues, producing inevitable tensions. One role relationship that epitomizes this extraordinary juggling task is that of doctoral supervisor/supervisee, when both are academic staff in the same institution. The last 10 years has seen an upsurge of research interest in doctoral research students, and government and funding bodies have imposed ever more stringent requirements on supervisors. However, staff pairings have been ignored in this literature and research. This article reports on an exploration that seeks to redress this omission by giving voice to the participants (colleague supervisor or research student), allowing them to articulate constructs about what may be unique in the interaction, thus highlighting factors that support or impede success in the enterprise.

Temperature and the development rates of thrips: evidence for a constraint on local adaptation?

Typically, the relationship between insect development and temperature is described by two characteristics: the minimum temperature needed for development to occur (T-min) and the number of day degrees required (DDR) for the completion of development. We investigated these characteristics in three English populations of Thrips major and T tabaci [Cawood, Yorkshire (N53degrees49', W1degrees7'); Boxworth, Cambridgeshire (N52degrees15', W0degrees1'); Silwood Park, Berkshire (N51degrees24', W0degrees38')], and two populations of Frankliniella occidentalis (Cawood; Silwood Park). While there were no significant differences among populations in either T-min (mean for T major = 7.0degreesC; T tabaci = 5.9degreesC; F. occidentalis = 6.7degreesC) or DDR (mean for T major = 229.9; T tabaci = 260.8; F occidentalis = 233.4), there were significant differences in the relationship between temperature and body size, suggesting the presence of geographic variation in this trait. Using published data, in addition to those newly collected, we found a negative relationship between T-min. and DDR for F occidentalis and T tabaci, supporting the hypothesis that a trade-off between T-min and DDR may constrain adaptation to local climatic conditions.

Sparse kernel density estimation technique based on zero-norm constraint

A sparse kernel density estimator is derived based on the zero-norm constraint, in which the zero-norm of the kernel weights is incorporated to enhance model sparsity. The classical Parzen window estimate is adopted as the desired response for density estimation, and an approximate function of the zero-norm is used for achieving mathemtical tractability and algorithmic efficiency. Under the mild condition of the positive definite design matrix, the kernel weights of the proposed density estimator based on the zero-norm approximation can be obtained using the multiplicative nonnegative quadratic programming algorithm. Using the -optimality based selection algorithm as the preprocessing to select a small significant subset design matrix, the proposed zero-norm based approach offers an effective means for constructing very sparse kernel density estimates with excellent generalisation performance.

Constraint release in entangled binary blends of linear polymers: a molecular dynamics study

We present extensive molecular dynamics simulations of the dynamics of diluted long probe chains entangled with a matrix of shorter chains. The chain lengths of both components are above the entanglement strand length, and the ratio of their lengths is varied over a wide range to cover the crossover from the chain reptation regime to tube Rouse motion regime of the long probe chains. Reducing the matrix chain length results in a faster decay of the dynamic structure factor of the probe chains, in good agreement with recent neutron spin echo experiments. The diffusion of the long chains, measured by the mean square displacements of the monomers and the centers of mass of the chains, demonstrates a systematic speed-up relative to the pure reptation behavior expected for monodisperse melts of sufficiently long polymers. On the other hand, the diffusion of the matrix chains is only weakly perturbed by the diluted long probe chains. The simulation results are qualitatively consistent with the theoretical predictions based on constraint release Rouse model, but a detailed comparison reveals the existence of a broad distribution of the disentanglement rates, which is partly confirmed by an analysis of the packing and diffusion of the matrix chains in the tube region of the probe chains. A coarse-grained simulation model based on the tube Rouse motion model with incorporation of the probability distribution of the tube segment jump rates is developed and shows results qualitatively consistent with the fine scale molecular dynamics simulations. However, we observe a breakdown in the tube Rouse model when the short chain length is decreased to around N-S = 80, which is roughly 3.5 times the entanglement spacing N-e(P) = 23. The location of this transition may be sensitive to the chain bending potential used in our simulations.

Using zero-norm constraint for sparse probability density function estimation

A new sparse kernel probability density function (pdf) estimator based on zero-norm constraint is constructed using the classical Parzen window (PW) estimate as the target function. The so-called zero-norm of the parameters is used in order to achieve enhanced model sparsity, and it is suggested to minimize an approximate function of the zero-norm. It is shown that under certain condition, the kernel weights of the proposed pdf estimator based on the zero-norm approximation can be updated using the multiplicative nonnegative quadratic programming algorithm. Numerical examples are employed to demonstrate the efficacy of the proposed approach.

Shopping motives as antecedents of e-satisfaction and e-loyalty

Customer loyalty is fundamental to the profitability and survival of e-tailers. Yet research on antecedents of e-loyalty is relatively limited. This study contributes to the literature by investigating the effect of motives for online shopping on e-satisfaction and e-loyalty. A structural equations model is developed and tested through data from an online survey involving 797 customers of two UK-based e-tailers focussing on hedonic products. The results suggest that convenience, variety seeking, and social interaction help predict e-satisfaction, and that social interaction is the only shopping motive examined with a direct relationship to e-loyalty. Data also show that e-satisfaction is a strong determinant of e-loyalty. These findings are discussed in the light of previous research and avenues of future research are proposed.