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The main purpose of this study was to examine which job resources are most valuable for research productivity, depending on varying teaching demands.

Data was collected from 324 management faculty at research, balanced and teaching (i.e. respectively low-, moderate- and high-teaching demands) public universities in the United States.

Results showed that no single job resource predicted research productivity across all three types of schools. At research schools (i.e. low-teaching demands), productivity was positively associated with job resources including summer compensation, level of protection for untenured faculty and number of research assistant hours, while negatively associated with travel funding. At balanced schools (i.e. moderate-teaching demands), research output was positively associated with time allocated to research, grant money, travel funding and conference attendance, while negatively associated with amount of consulting hours. At teaching schools (i.e. high-teaching demands), the only significant resource was time allocated to research.

This paper can help management faculty and business school leaders understand what resources are most appropriate given the teaching demands associated with the specific institution, and by further helping these institutions attract and retain the best possible faculty.

This study extends prior work on academic research performance by identifying resources that can help faculty publish given different levels of teaching demands. This is important as teaching demands tend to be relatively stable within an institution, while they can vary greatly across types of institutions.

This study aims to examine the ability of clean energy stocks to provide cover for investors against market risks related to climate change and disturbances in the oil market.

The study adopts the feasible quasi generalized least squares technique to estimate a predictive model based on Westerlund and Narayan’s (2015) approach to evaluating the hedging effectiveness of clean energy stocks. The out-of-sample forecast evaluations of the oil risk-based and climate risk-based clean energy predictive models are explored using Clark and West’s model (2007) and a modified Diebold & Mariano forecast evaluation test for nested and non-nested models, respectively.

The study finds ample evidence that clean energy stocks may hedge against oil market risks. This result is robust to alternative measures of oil risk and holds when applied to data from the COVID-19 pandemic. In contrast, the hedging effectiveness of clean energy against climate risks is limited to 4 of the 6 clean energy indices and restricted to climate risk measured with climate policy uncertainty.

The study contributes to the literature by providing extensive analysis of hedging effectiveness of several clean energy indices (global, the United States (US), Europe and Asia) and sectoral clean energy indices (solar and wind) against oil market and climate risks using various measures of oil risk (WTI (West Texas intermediate) and Brent volatility) and climate risk (climate policy uncertainty and energy and environmental regulation) as predictors. It also conducts forecast evaluations of the clean energy predictive models for nested and non-nested models.

Looks at the growing importance of quality management in local government. Explores the work undertaken in three London Borough Councils and one District Council in Essex which are attempting to apply management principles to all areas of their activity. Compares each council using a framework for quality management. Describes the differences in their approaches to implementing quality, exploring why those differences may have come about. Identifies a number of important questions which should be considered when planning any local government quality initiative.

The purpose of this paper is to examine the relationship between trading volume and returns in the West Texas Intermediate (WTI) and Brent crude oil futures markets. In so doing, the paper addresses two important issues. First, whether there is a positive relationship between returns and trading volume in the crude oil futures markets. Second, whether information regarding trading volume contributes to forecasting the magnitude of return in the markets, an important issue because the ability of trading volume to predict returns imply market inefficiency.

The paper used daily closing futures price and their corresponding trading volumes for WTI and Brent crude oil markets during the sample period January 2008 to May 2011. Both the log volume and the unexpected component of the detrended volume are used in the analysis in other to have robust alternative conclusion. The generalized method of moments (GMM) approach is used to examine the contemporaneous relationship between returns and trading volume while the Granger causality approach, impulse response and variance decomposition analysis are used to investigate the ability of trading volume to predict returns in the oil futures markets.

The results reject the postulation of a positive relationship between trading volume and returns, suggesting that trading volume and returns are not driven by the same information flow which contradicts the mixture of distribution hypothesis in all markets. The results also show that neither trading volume nor returns have the power to predict the other and therefore contradicting the sequential arrival hypothesis and noise trader model in all markets. Finally, the findings support the weak form efficient market hypothesis in the crude oil futures markets.

The findings has important implications to market regulators because daily price movement and trading volume do not respond to the same information flow and therefore the measures that control price volatility should not focused more on volume; otherwise they may not provide fruitful outcomes. Additionally, traders and investors who participate in oil futures should not base their decisions on past trading volume because it will lead to profit loss. The results also have implications for market efficiency as past information cannot assist speculators to forecast returns in all the oil markets. Finally, investors can benefit from portfolio diversification across the two markets.

Comparative cultural closeness between Canada and the U.S. established in part by the Hofstede (1980) study continues to influence some business research efforts that assume cultural parity between the two nations. Sampling business professionals, evidence emerges that cautions assuming cultural parity between Canada and the U.S. based on typical and selected Anglo culture type dimensions. Contributing as an updated empirical test of the Anglo culture type assumption between the two nations, uncertainty avoidance was higher in the U.S. sample and varied more by country than by individual characteristics or by an indication of professional discipline type.

This chapter explores the sustainability of the workforce in the Chilean logging sector, the factors that affect the sustainability of this critical element for the Chilean forestry sector and explores the reasons for each factor.

To achieve the aim of this research, an ergonomics approach was used, specifically an ergonomics questionnaire, to identify elements in the work system that affect forestry workers.

The initial results show that elements in the Chilean forestry sector that affect the sustainability of the workforce, both in terms of occupational health (OH) problems and lack of interest in working in this sector, include organizational factors, physical elements of the environment, economic issues, and physical aspects of the work. The study also showed workers in this sector have a low perception of the benefits of working in the sector, because they recognize the sector has a high degree of risk in terms of safety and health aspects.

It is expected that the result of this research will help to refocus policies towards solving OH problems and, at the same time, potentially improve the market attractions of working in this sector.

Aarhus Kommunes Biblioteker (Teknisk Bibliotek), Ingerslevs Plads 7, Aarhus, Denmark. Representative: V. NEDERGAARD PEDERSEN (Librarian).

This paper aims to investigate the contemporaneous link between price volatility and trading volume in the futures markets of energy.

Non-parametric (local linear) regression models and formal statistical tests are used to assess monotonicity, linearity and symmetry. The data are daily price and volumes from five futures markets (West Texas Intermediate, Brent, gasoline, heating oil and natural gas) in the USA.

Trading volume and price volatility have, in all markets, a strong nonlinear relation to each other. There are violations of monotonicity locally but not globally. The qualitative nature of the price shocks may have implications for the trading activity locally.

To the authors’ best knowledge, this is the first manuscript that investigates simultaneously and formally all the three important issues (i.e. monotonicity, linearity and asymmetry) for the price volatility–volume relationship using a highly flexible nonparametric approach.