Fueling Green Dining Intention: The Self-Completion Theory Perspective

This study aims to examine how self-identity of consumers influences intention to pay a premium to consume green food. Moreover, this research investigates the relationship between recollection of past dining experience and intention to consume green food. The self-completion theory (SCT) is to explain the compensatory effects of the preference to consume green food. Exposure to environmental information demonstrates the effects of priming. Two experiments were conducted to illustrate the effects of priming and recollection of past behavior that harmed the environment of consumers. The results show that after mere exposure to information on green dining, participants preferred to consume green food (priming effects). Similar results were obtained from the experiment where participants were asked to recall their past behaviors that harmed the environment. Asking individuals to recall past behavior proved to be an effective way to motivate patrons of green dining to find a moral equilibrium (compensation effects).     

A Common Pool Resource Game with Sequential Decisions and Experimental Evidence

We describe a common pool resource game in which players choose how much of the stock to extract in a sequential manner. There are two choices and one represents taking a larger proportion of the stock than the other. After a player makes a choice, the remaining stock grows at a constant rate. We consider a game with a finite number of alternating moves. It is shown that changes in the larger proportion of the stock that the players are allowed to take and the growth rate affect equilibrium, but have little effect on behavior in the laboratory. In addition to observing more cooperation than predicted, we observe that parameters that are strategically irrelevant affect behavior. The results of this research might help policy makers in developing adequate policies to prevent overexploitation of some natural renewable resources.     

Auditor Independence,Current and Future NAS Fees and Audit Quality: Were European Regulators Right?

Abstract

European Union adopted the Regulation (EU) No 537/2014, which in practice prohibits the joint provision of audit and most types of non-audit services (NAS). Regulators presume that NAS fees weaken auditor independence and, as a result, impair audit quality. As the evidence at the European level does not support this view, the question of whether the new regulation will enhance auditor independence remains open. We examine the association between future NAS fees and audit quality by distinguishing among tax, audit-related and other services. We base the analysis on a sample of Spanish listed companies for the period between 2005 and 2016, finding a consistent negative association between future other NAS fees and audit quality. This suggests that the expectation of future purchases of this type of NAS may impair auditor independence. Conversely, for tax and audit-related services results are not significant. Taken together, results suggest that European regulators should seek for further evidence before banning NAS, as some of them may in fact enhance audit quality.     

PRIVATIZATION AND PERFORMANCE: THE CASE OF FOUR AUSTRALIAN FINANCIAL INSTITUTIONS

ABSTRACT: This paper investigates the performance after privatization of institutions in Australian banking and insurance. Privatization was anticipated to improve firm performance in Australia and elsewhere, yet findings are mixed. A comparative institutional approach is taken to analyzing firm performance in the longer term which allows for further structural change. A CAMEL analysis of performance before and after privatization events is undertaken for four privatized institutions, two each from banking and insurance sectors. These are matched with private peer institutions. Privatized institutions are found to perform quite similarly to private peer institutions both before and after privatization.     

An application of rule-based forecasting to a situation lacking domain knowledge

Rule-based forecasting (RBF) uses rules to combine forecasts from simple extrapolation methods. Weights for combining the rules use statistical and domain-based features of time series. RBF was originally developed, tested, and validated only on annual data. For the M3-Competition, three major modifications were made to RBF. First, due to the absence of much in the way of domain knowledge, we prepared the forecasts under the assumption that no domain knowledge was available. This removes what we believe is one of RBF’s primary advantages. We had to re-calibrate some of the rules relating to causal forces to allow for this lack of domain knowledge. Second, automatic identification procedures were used for six time-series features that had previously been identified using judgment. This was done to reduce cost and improve reliability. Third, we simplified the rule-base by removing one method from the four that were used in the original implementation. Although this resulted in some loss in accuracy, it reduced the number of rules in the rule-base from 99 to 64. This version of RBF still benefits from the use of prior findings on extrapolation, so we expected that it would be substantially more accurate than the random walk and somewhat more accurate than equal weights combining. Because most of the previous work on RBF was done using annual data, we especially expected it to perform well with annual data.     

What's New in New Forms of Organizing? On the Construction of Gender in Project‐Based Work

abstract    In several industries, projects are now the normal form of work for individuals. The consequences of project work have not so far been subject to critical inquiry, however. This implies inquiry not only on how people handle project work at work, it also means inquiring into how they live their lives when working by projects. In this paper, we study this from a constructionist gender perspective, in which project work is seen as an ongoing construction of patterns of femininity and masculinity in society. The aim of the paper is to contribute to an understanding of how project work is related to the ongoing construction of femininity and masculinity in the work and lives of human beings.
From a narrative study of individuals in the same project team in an IT-consultancy company, we discuss masculinization and femininization in project-based work. It appears that current project work practices imply reproduction of masculinities such as rationality, efficiency, control, devotion to work etc, while femininization is instead found in the rhetoric of the organizational context and the expectations on newly recruited women. The organization was in the process of femininization through rhetoric on 'family friendliness', but everyday life for consultants was not spent at the organization but in project teams in the customers' offices. Projects are special in the sense that they are clearly delimited episodes of work in which it is possible to apply entirely different norms than 'outside' the project – which makes the tendency to reproduce traditional masculinities even stronger.     

Time-varying combinations of predictive densities using nonlinear filtering

We propose a Bayesian combination approach for multivariate predictive densities which relies upon a distributional state space representation of the combination weights. Several specifications of multivariate time-varying weights are introduced with a particular focus on weight dynamics driven by the past performance of the predictive densities and the use of learning mechanisms. In the proposed approach the model set can be incomplete, meaning that all models can be individually misspecified. A Sequential Monte Carlo method is proposed to approximate the filtering and predictive densities. The combination approach is assessed using statistical and utility-based performance measures for evaluating density forecasts of simulated data, US macroeconomic time series and surveys of stock market prices. Simulation results indicate that, for a set of linear autoregressive models, the combination strategy is successful in selecting, with probability close to one, the true model when the model set is complete and it is able to detect parameter instability when the model set includes the true model that has generated subsamples of data. Also, substantial uncertainty appears in the weights when predictors are similar; residual uncertainty reduces when the model set is complete; and learning reduces this uncertainty. For the macro series we find that incompleteness of the models is relatively large in the 1970’s, the beginning of the 1980’s and during the recent financial crisis, and lower during the Great Moderation; the predicted probabilities of recession accurately compare with the NBER business cycle dating; model weights have substantial uncertainty attached. With respect to returns of the S&P 500 series, we find that an investment strategy using a combination of predictions from professional forecasters and from a white noise model puts more weight on the white noise model in the beginning of the 1990’s and switches to giving more weight to the professional forecasts over time. Information on the complete predictive distribution and not just on some moments turns out to be very important, above all during turbulent times such as the recent financial crisis. More generally, the proposed distributional state space representation offers great flexibility in combining densities.     

Economic Issues in the Antitrust Assessment of Hospital Competition: Overview

Rapid consolidation in the hospital industry, as health care markets respond to consumer pressures for more cost-effective delivery of health care services, has focused increased attention on antitrust enforcement theories and actions. This paper reviews the Federal agency challenges of four recent hospital mergers that have all been denied by the courts, but for varying reasons. Questions raised include the appropriate definition of the product and geographic markets, the extent of realizable merger-specific efficiencies and the influence of non-profit status on hospital behavior. The lack of conclusive empirical economic evidence on these topics undoubtedly contributes to the current divergence of opinion among regulators, courts and hospitals. This paper also identifies how each of the subsequent papers in this special issue contributes valuable findings to inform the lively debate.     

Interact with me on my terms: a four segment Facebook engagement framework for marketers

Abstract

Facebook is used by over 1 billion highly heterogeneous users each month. However, there exists little guidance for marketers when it comes to actionable consumer engagement strategies for this social media platform. The purpose of this article is to profile key segments of Facebook users and build an implementable marketing strategy framework that can help marketers better target their Facebook consumers, and better craft their marketing mix and Facebook campaigns. Based on focus group interviews and a qualitative survey, four distinct types of Facebook users are identified and profiled: attention seekers, devotees, connection seekers and entertainment chasers. Correspondingly, a four-segment marketing strategy framework is proposed to guide content creation and engage consumers in thriving Facebook brand communities.