Mind the channel! An affordance perspective on how digital voice channels encourage or discourage employee voice

We apply an affordance lens on qualitative data from three case organisations using a digital voice channel providing employees with the opportunity to speak up via answering periodic mini‐surveys and making comments in an anonymous mini‐forum. We find that imbrications of material and social agencies (i.e., the voice channel's features and managerial reactions to voice) in the respective organisational contexts culminate in employees perceiving the channel as either affording or constraining voice, leading to perceived voice outcomes that eventually encourage or discourage them to speak up. Whether voice is encouraged or discouraged partly results from the mere interaction between employees and the digital voice channel independent of managerial reactions. Our findings thus challenge the emphasis on managerial behaviour and reactions to voice in explaining voice behaviour and outcomes in extant literature.     

Shifting frontier dynamics in Latin America

The concepts of resource frontier and commodity frontier are often treated interchangeably. This article suggests the benefits of clarifying these concepts because frontiers remain important analytics for understanding drastic land‐use changes and other socio‐environmental transformations. Based on long‐term field research in different parts of South and Central America, we use frontier concepts as heuristic devices to analyze heterogeneous frontier situations and make broader generalizations. Our synchronic and diachronic analyses of frontier dynamics elucidate different frontier modalities and shifting frontier expansions. The concept of commoditizing resource frontier is introduced to explain recent frontier‐makings in Brazilian Amazonia and Cerrado and in the Nicaraguan Río San Juan. Although earlier frontier research took a short‐term time perspective and created conceptualizations based on a single modality of a particular period, our longitudinal analysis shows that drastic changes and complex overlappings are the hallmarks of frontier dynamics.     

Highway to (Digital) Surveillance: When Are Clients Coerced to Share Their Data with Insurers?

Journal of Business Ethics - Clients may feel trapped into sharing their private digital data with insurance companies to get a desired insurance product or premium. However, private insurance must...     

Quinn,Sarah L: American bonds: how credit markets shaped a nation

Journal of Economics -     

Interaction effects of corporate hedging activities for a multi-risk exposure: evidence from a quasi-natural experiment

Review of Quantitative Finance and Accounting - This study analyzes the interaction effects of corporate hedging activities of electric utility firms facing a manifold risk exposure consisting of...     

FMPM Best Paper Award 2019

Financial Markets and Portfolio Management -     

Forecasting the past: the case of US interest rate forecasts

This study evaluates 10-year US government bond yield forecasts and three-month US Treasury bill rate forecasts for the period between October 1989 and December 2004. In total, 136 forecast time series with approximately 13,800 forecast data were scrutinized, making this the most extensive analysis of interest rate forecasts to date. Not one of the forecast time series proved to be unbiased. In the majority of cases, information from the past was not efficiently integrated into the forecasts. The sign accuracy is significantly better than random walk forecasts in only a very few of the forecast time series. The modified Diebold–Mariano test for forecast encompassing reveals that the information content of most of the forecast time series is lower than that of the naïve forecasts, the simple ARIMA models, the implicit forward rates, or average interest rate expectations. The forecasting process is dominated by the present and past market situation.     

Yield curve responses to market sentiments and monetary policy

Central banks recently started to target longer term interest rates. The empirical failure of the rational expectations theory of the yield curve, however, limits its applicability to monetary policy analysis. The success of agent-based behavioral asset pricing models and behavioral macroeconomic models in replicating statistical regularities of empirical data series motivates to apply them to yield curve modeling. This paper analyses how the interaction of monetary policy and market sentiments shape the yield curve in a behavioral model with heterogeneous and bounded-rational agents. One result is that the behavioral model replicates empirical facts of term structure data. Moreover, it overcomes one major deficiency of rational expectations models of the yield curve in explaining the empirically observed uncertain responses of longer term yields to changes in the central bank rate. These are explained by the behavioral model’s ability to generate different responses of market sentiments to shocks at different times which lead to a variety of interest rate responses. Further results of this paper can be used as policy advice on how central banks can target the level, slope and curvature of the yield curve by targeting market sentiments about inflation and the business cycle.