Do not say a word! Conceptualizing employee silence in a long-term crisis context

Abstract

Although research has emphasized the organizational and individual factors that influence employee voice and silence at work, it is less known how employee voice/silence is affected by the economic context, particularly when this context is one of intensive and long-term economic crisis in a country with weak institutional bases. In this study, we explore how employee silence is formulated in long-term turbulent economic environments and in more vulnerable organizational settings like those of small enterprises. The study draws on qualitative data gathered from 63 interviews with employees in a total of 48 small enterprises in Greece in two periods of time (2009 and 2015). This study suggests a new type of employee silence, social empathy silence, and offers a conceptual framework for understanding the development of silence over time in particular contexts of long-term turbulence and crisis.     

Asymmetric Information,Asset Allocation,and Debt Financing

We analyze a signaling game where firms' financing announcements convey private information about their prospects but a moral hazard problem exists in that managers may suboptimally invest. Consequently, the attempt to address an asymmetric information problem exacerbates moral hazard. The equilibrium recognizes both imperfect information problems. Additionally, the firm must determine how to allocate funds between two technologies differing in cash flow timing and managerial accessibility. We define an above-average firm's comparative advantage as that technology which is most dominant relative to a firm with lesser prospects and show that the resultant equilibria follow the lines of the firm's comparative advantage. Finally, we show that separation may be achieved costlessly, i.e., with no explicit signaling cost.     

Monetary policy and stock valuation: structural VAR identification and size effects

This paper examines the relationship between the US monetary policy and stock valuation using a structural VAR framework that allows for the simultaneous interaction between the federal funds rate and stock market developments based on the assumption of long-run monetary neutrality. The results confirm a strong, negative and significant monetary policy tightening effect on real stock prices. Furthermore, we provide evidence consistent with a delayed response of small stocks to monetary policy shocks relative to large stocks.     

On Monetary Policy and Stock Market Anomalies

This study utilizes a macro‐based VAR framework to investigate whether stock portfolios formed on the basis of their value, size and past performance characteristics are affected in a different manner by unexpected US monetary policy actions during the period 1967–2007. Full sample results show that value, small capitalization and past loser stocks are more exposed to monetary policy shocks compared with growth, big capitalization and past winner stocks. Sub‐sample analysis, motivated by variation in the realized premia and parameter instability, reveals that the impact of monetary policy shocks on these portfolios is significant and pronounced only during the pre‐1983 period.     

A robust VaR model under different time periods and weighting schemes

This paper analyses several volatility models by examining their ability to forecast Value-at-Risk (VaR) for two different time periods and two capitalization weighting schemes. Specifically, VaR is calculated for large and small capitalization stocks, based on Dow Jones (DJ) Euro Stoxx indices and is modeled for long and short trading positions by using non parametric, semi parametric and parametric methods. In order to choose one model among the various forecasting methods, a two-stage backtesting procedure is implemented. In the first stage the unconditional coverage test is used to examine the statistical accuracy of the models. In the second stage a loss function is applied to investigate whether the differences between the models, that calculated accurately the VaR, are statistically significant. Under this framework, the combination of a parametric model with the historical simulation produced robust results across the sample periods, market capitalization schemes, trading positions and confidence levels and therefore there is a risk measure that is reliable.

Job satisfaction and quit intentions of offshore workers in the UK North Sea oil and gas industry

The North Sea oil and gas industry currently faces recruitment and retention difficulties because of a shortage of skilled workers. One means of retaining existing employees is to improve workers’ job satisfaction. In this paper, we investigate the determinants of job satisfaction and intentions to quit within this industry sector. We find that individuals in good financial situations, those whose skills are closely related to their job and those who received training reported higher levels of job satisfaction. Furthermore, we establish the importance of job satisfaction, promotion prospects and training opportunities in determining workers’ intentions to quit their job.     

IMF surveillance as a signal to attract foreign investment

Poor governance and endemic corruption hamper the efforts of some developing countries to attract foreign investment. Incentive schemes based on verifiable signals of varying costs and quality can be helpful in encouraging their governments to intensify corruption-control efforts. This paper ranks alternative signals, including surveillance by the IMF and other IFIs (International Financial Institutions), as catalysts for private foreign investments. We demonstrate that the ranking crucially depends on the bargaining strength of governments relative to foreign investors. If foreign lenders control the bargain, IFI signals are the first choice. If governments are in control, IFI signals become the choice of last resort.     

A strategic framework for terrorism prevention and mitigation in tourism destinations

Tourism destinations and tourists have always been ‘soft targets’ for terrorist activities. Although it is widely acknowledged that it is no longer a question of ‘if’ terrorists will strike but rather a question of ‘when’, ‘how’ and ‘how prepared’ the destination is to deal with them, the crisis management frameworks proposed by the literature appear to offer little help to tourism authorities in the development and implementation of a strategy aiming at the prevention and mitigation of terrorist attacks. This paper first discusses the premise that Destination Management Organizations can and should play an active role in the co-ordination of tourism stakeholders in addressing the threat of terrorism. Then, based on the analysis of interviews with 16 experts on terrorism and tourism, it offers a framework for the development and implementation of a destination-specific anti-terrorism strategy.     

Modeling the behaviour of inflation deviations from the target

This study tests for and models non-linearities in inflation deviations from the target in five OECD countries that adopted inflation targeting over the 1990s. Our tests reject the linearity hypothesis and we show that the exponential smooth transition autoregressive (ESTAR) model is capable of capturing the non-linear behavior of inflation misalignments. The extent of inflation deviations from the target varies across the OECD countries, with countries that consistently undershoot the target having a rapid adjustment process, whereas countries that overshoot the target have a slower revision back to equilibrium. Out-of-sample forecasts from the ESTAR model outperform the Markov regime-switching model.