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Statistical methods of spatial analysis are often successful at either prediction or explanation, but not necessarily both. In a recent paper, Dearmon and Smith (2016) showed that by combining Gaussian Process Regression (GPR) with Bayesian Model Averaging (BMA), a modeling framework could be developed in which both needs are addressed. In particular, the smoothness properties of GPR together with the robustness of BMA allow local spatial analyses of individual variable effects that yield remarkably stable results. However, this GPR-BMA approach is not without its limitations. In particular, the standard (isotropic) covariance kernel of GPR treats all explanatory variables in a symmetric way that limits the analysis of their individual effects. Here we extend this approach by introducing a mixture of kernels (both isotropic and anisotropic) which allow different length scales for each variable. To do so in a computationally efficient manner, we also explore a number of Bayes-factor approximations that avoid the need for costly reversible-jump Monte Carlo methods.

To demonstrate the effectiveness of this Variable Length Scale (VLS) model in terms of both predictions and local marginal analyses, we employ selected simulations to compare VLS with Geographically Weighted Regression (GWR), which is currently the most popular method for such spatial modeling. In addition, we employ the classical Boston Housing data to compare VLS not only with GWR but also with other well-known spatial regression models that have been applied to this same data. Our main results are to show that VLS not only compares favorably with spatial regression at the aggregate level but is also far more accurate than GWR at the local level.

A Bayesian probit model with individual effects that exhibit spatial dependencies is set forth. Since probit models are often used to explain variation in individual choices, these models may well exhibit spatial interaction effects due to the varying spatial location of the decision makers. That is, individuals located at similar points in space may tend to exhibit similar choice behavior. The model proposed here allows for a parameter vector of spatial interaction effects that takes the form of a spatial autoregression. This model extends the class of Bayesian spatial logit/probit models presented in LeSage (2000) and relies on a hierachical construct that we estimate via Markov Chain Monte Carlo methods. We illustrate the model by applying it to the 1996 presidential election results for 3,110 U.S. counties.

This research provides accounting-ethics authors and administrators with a benchmark for accounting-ethics research. While Bernardi and Bean (2010) considered publications in business-ethics and accounting’s top-40 journals this study considers research in eight accounting-ethics and public-interest journals, as well as, 34 business-ethics journals. We analyzed the contents of our 42 journals for the 25-year period between 1991 through 2015. This research documents the continued growth (Bernardi & Bean, 2007) of accounting-ethics research in both accounting-ethics and business-ethics journals. We provide data on the top-10 ethics authors in each doctoral year group, the top-50 ethics authors over the most recent 10, 20, and 25 years, and a distribution among ethics scholars for these periods. For the 25-year timeframe, our data indicate that only 665 (274) of the 5,125 accounting PhDs/DBAs (13.0% and 5.4% respectively) in Canada and the United States had authored or co-authored one (more than one) ethics article.

Little research has explored individual experiences of cyberbullying in working contexts. To start bridging the gap in our current understanding, we used Interpretative Phenomenological Analysis (IPA) to explore individuals' shared experiences of cyberbullying encountered through work. In-depth interviews, conducted with five cyberbullied workers from the pharmaceutical, charity and university sectors, resulted in five superordinate themes: attributions of causality; crossing of boundaries; influence of communication media richness on relationship development; influence of communication explicitness and openness; and strategies for coping. Overall, some similarities emerged between cyberbullying experiences and traditional bullying research, yet the complexities associated with managing relationships, both virtually and physically, were central to individuals' subjective experiences. Practical implications in developing effective leadership and business policies to support virtual groups and manage behaviours are discussed.

Collaborative consumption (CC), a unique business model, provides several monetary and non-monetary benefits to customers. Several adapted theory of planned behaviour (TPB)-based models were developed and tested to understand this consumption behaviour with the findings inconsistent and fragmented. Thus, this study aims to develop a general and consistent TPB model using a meta-analytic path analysis to better understand customers’ CC adoption behaviour.

Using 37 studies, a meta-analysis was performed adopting several analytical methods; bivariate analysis, moderation analysis and path analysis.

The universal TPB model shows that factors, that is, trust, attitude, perceived environmental responsibility and communication facilities, drive both perceived usefulness and CC. However, subjective norms, such as perceived behavioural control and emotional value, drive only perceived usefulness. Moderation analysis shows that the relationships between variables used in the proposed TPB model tends to vary depending on five moderators, that is, countries’ economic development level, type of CC, sample size, sample type and survey administration method.

The consideration of only quantitative papers and papers written in English language in this meta-analysis may bias the study’s findings.

Based on the findings regarding important factors that consumers consider when adopting CC, this study provides insightful recommendations to companies facilitating CC.

By developing the universal TPB model, this study theoretically contributes to the TPB model, and by conducting the moderation test, the study contextually contributes to the TPB literature in the CC context.

Looks at the 2000 Employment Research Unit Annual Conference held at the University of Cardiff in Wales on 6/7 September 2000. Spotlights the 76 or so presentations within and shows that these are in many, differing, areas across management research from: retail finance; precarious jobs and decisions; methodological lessons from feminism; call centre experience and disability discrimination. These and all points east and west are covered and laid out in a simple, abstract style, including, where applicable, references, endnotes and bibliography in an easy‐to‐follow manner. Summarizes each paper and also gives conclusions where needed, in a comfortable modern format.