An Eye for an Eye Will Make the Whole World Blind: Conflict Escalation into Workplace Bullying and the Role of Distributive Conflict Behavior

The current study investigated how work-related disagreements—coined as conflicts—relate to workplace bullying, from the perspective of the target as well as the perpetrator. We hypothesized a positive indirect association between task conflicts and bullying through relationship conflicts. This process accounted for both for targets and perpetrators of bullying. Targets are distinguished from perpetrators in our assumption that this indirect effect is boosted by distributive conflict behavior, being yielding for targets and forcing for perpetrators. Results in a large representative sample of the Flemish working population (N = 2,029) confirmed our hypotheses. Additionally, our study also revealed a direct effect from task conflicts to bullying in the analyses regarding the indirect as well as the conditional indirect effects. For perpetrators, both the indirect and direct relationships are moderated by forcing, underlining the importance of distributive conflict behavior particularly for the enactment of bullying behaviors.     

What’s new in female entrepreneurship research? Answers from the literature

Female entrepreneurship to date represents a key component of the business sector worldwide as, in 2012 more than 187 million out of 400 million entrepreneurs were women (Global Entrepreneurship Monitor 2013). In academia the gender factor in entrepreneurship emerged in the late 1970s Schwartz (Journal of Contemporary Business, 5(1), 47–76, 1976) and especially since the beginning of the new millennium a substantial growth in the investigation of this topic has been registered. Thus, the time has come to systematize the academic progress on this issue and to reflect on future research directions in order to gain deeper insights into the female entrepreneurship domain. In this vein, our paper aims to enrich the conversation on female entrepreneurship by reviewing 248 papers published in the last 14 years. In doing so, we identify and analyze the new insights that have emerged in the literature from both a managerial and a sociological perspective, thus responding to the numerous calls for a more interdisciplinary approach to the study of this topic.     

What does the financial market pricing do? A simulation analysis with a view to systemic volatility,exuberance and vagary

Biondi et al. (Phys A 391(22):5532–5545, 2012) develop an analytical model to examine the emergent dynamic properties of share market price formation over time, capable to capture important stylized facts. These latter properties prove to be sensitive to regulatory regimes for fundamental information provision, as well as to market confidence conditions among actual and potential investors. We comparatively assess accounting models belonging to two main families: historical cost accounting and mark-to-market (fair value) accounting regimes. Regimes based upon mark-to-market measurement of traded security, while generating higher linear correlation between market prices and fundamental signals, also involve higher market instability and volatility. These regimes also incur more relevant episodes of market exuberance and vagary in some regions of the market confidence space, where lower market liquidity further occurs.     

Modeling of the clinical and economic impact of a risk-sharing agreement supporting a treat-to-target strategy in the management of patients with rheumatoid arthritis in France

Objectives: To evaluate the cost-effectiveness of a Treat-to-Target strategy with certolizumab pegol in patients with rheumatoid arthritis in the context of a pay-for-performance agreement in which medication costs are refunded in case of discontinuation during the first 3 months of treatment.

Methods: The Treat-to-Target strategy consisted of a systematic switch to second-line tumor necrosis factor (TNF)α inhibitor in case of an unmet ACR50 response at 3 months compared to current routine clinical practice. A reference cohort treated first-line with certolizumab pegol according to current practice without systematic switching was considered as the comparator. A decision-tree model was constructed to estimate clinical outcome (health assessment questionnaire-disability index or HAQ-DI score), time spent in ACR50 response (ACR 50), and direct costs of treatment over a 2-year period. HAQ scores were derived from American College of Rheumatology 50 (ACR50) responses. All TNFα inhibitors were assumed to have equivalent efficacy and tolerability. Costs were estimated at 2013 French retail prices (date of the pay-for-performance agreement).

Results: The mean duration of an ACR50 response was 1.23 years in the Treat-to-Target strategy certolizumab pegol cohort vs 0.98 years in the reference cohort, resulting in a mean gain in HAQ at 24 months of 0.117. The Treat-to-Target strategy with a mix of TNFα inhibitors as second-line therapy was more expensive than the reference strategy in absolute terms, but this difference was entirely offset by the pay-for-performance agreement. The Treat-to-Target strategy was, thus, cost-neutral over a 2-year period after the payback of CZP cost for patients not achieving the target at 3 months.

Conclusions: In the context of a pay-for-performance agreement, the management of patients with rheumatoid arthritis using a Treat-to-Target strategy with certolizumab pegol in first line is dominant compared to standard use of this drug in the French setting in 2013.     

A Transatlantic Energy and Climate Pact Is Now More Necessary Than Ever

Intereconomics - The Russian invasion of Ukraine has pushed Europe to re-design its energy map at speed. Amid this unprecedented energy overhaul, the EU and the United States have flagged their...     

The Effectiveness of Fear Appeals Featuring Fines versus Social Disapproval in Preventing Shoplifting Among Adolescents

The present study investigates the effectiveness of fear appeals, including type of punishment (social disapproval vs. fines), probability of getting caught when shoplifting, and severity of the punishment, in preventing shoplifting among adolescents. Results show that when the chance of getting caught is low, social punishment messages should stress severe levels of social disapproval. When social disapproval messages imply a high probability of apprehension, the severity of social rejection does not affect shoplifting intentions. Finally, messages focusing on fines should depict large instead of small fines, irrespective of the communicated probability of getting caught.     

Unravelling the design process of business models from linear to circular: An empirical investigation

In the last years, circular economy has represented one of the most-debated topics in management research. Although the understanding of this industrial paradigm has significantly improved over the last decade, a number of important research questions still remain unanswered. Among them, the design process of business model through which established firms evolve from being linear to circular deserves further investigation. Existing research still falls short to investigate how companies design the dimensions of value creation, value transfer, and value capture of their business models to launch circular products into the market. By leveraging a multiple case study analysis of four companies in the paper and beverage industries that have launched six circular products, the paper examines the process that these companies have followed to face the transition toward a circular business model. The paper contributes to the research field in the intersection between new product development and circular business models, by showing that the process toward a circular business model occurs along three major phases, that is, idea generation, product development, and commercialization. In each phase, companies implement peculiar managerial practices for launching circular products into the market, which typically address all the dimensions of the business model and follows a recurrent path over time.     

The inside effects of a strong external employer brand: how external perceptions can influence organizational absenteeism rates

In this study, we invoke a social identity and job resources perspective to investigate the impact of an organization’s internal and external employer brand images on employee absenteeism. Specifically, using workforce samples of 56 Belgian companies (n = 12670) and a second independent study sample (n = 4461), we assess the relative importance of the internal employer brand image (i.e. employee perceptions) and the external employer brand image (i.e. non-employee perceptions) in predicting the absenteeism rate in these organizations. Results show that corporate absenteeism decreases as internal (employee) views and external (non-employee) views of the organization decline. Results further show that the external employer brand image may be a more important driver of absenteeism than the internal employer brand image. Such results highlight that an organization’s external image may be a strong antecedent of important internal organizational behavior outcomes.     

Forecasting With the Standardized Self‐Perturbed Kalman Filter

We propose and study the finite‐sample properties of a modified version of the self‐perturbed Kalman filter of Park and Jun (Electronics Letters 1992; 28 : 558–559) for the online estimation of models subject to parameter instability. The perturbation term in the updating equation of the state covariance matrix is weighted by the estimate of the measurement error variance. This avoids the calibration of a design parameter as the perturbation term is scaled by the amount of uncertainty in the data. It is shown by Monte Carlo simulations that this perturbation method is associated with a good tracking of the dynamics of the parameters compared to other online algorithms and to classical and Bayesian methods. The standardized self‐perturbed Kalman filter is adopted to forecast the equity premium on the S&P 500 index under several model specifications, and determines the extent to which realized variance can be used to predict excess returns. Copyright © 2016 John Wiley & Sons, Ltd.