Cultural distance and its implication for the duration of the international alliance in a high technology sector

This study examines the role of cultural distance in the duration of an international alliance in a high technology sector. The general view is that cultural distance between international partners can hamper the duration of the alliance. We propose the alternative argument that cultural distance can be a source of the alliance duration. We use cultural distance based on widely perceived five cultural dimensions (Hofstede et al., 2010). Overall, the result supports the proposition. The distance based on masculinity, uncertainty avoidance and long-term orientation tends to increase the duration of the alliance. The distance based on power distance and individualism tends to decrease the duration of the alliance. Nevertheless, the composite measure based on all five dimensions also shows a positive effect on the duration of the alliance. The study concludes that learning alliances prefer diversity of knowledge sources. Knowledge transfer is a context dependent phenomenon. The diversity of the context delays knowledge transfer. Therefore, learning alliances tend to be longer when there is a cultural distance between international partners. The article notes some implications and limitations for the future research.     

Particle filters for continuous likelihood evaluation and maximisation

In this paper, a method is introduced for approximating the likelihood for the unknown parameters of a state space model. The approximation converges to the true likelihood as the simulation size goes to infinity. In addition, the approximating likelihood is continuous as a function of the unknown parameters under rather general conditions. The approach advocated is fast and robust, and it avoids many of the pitfalls associated with current techniques based upon importance sampling. We assess the performance of the method by considering a linear state space model, comparing the results with the Kalman filter, which delivers the true likelihood. We also apply the method to a non-Gaussian state space model, the stochastic volatility model, finding that the approach is efficient and effective. Applications to continuous time finance models and latent panel data models are considered. Two different multivariate approaches are proposed. The neoclassical growth model is considered as an application.     

Distribution of product statistics from aPareto population

Summary Distributions are derived of the product of sample values, the sample geometric mean, the product of two minimum values from sample of unequal size and product ofk minimum values from sample of equal size from aPareto population. The distributions can be conveniently transformed tox ². Paper presented at the Eastern Regional meeting of the Institute of Mathematical Statistics, Upton, Long Island, New York, April 27–29, 1966. Work done when the author was on the faculty of Western Reserve University, Cleveland, Ohio, U.S.A.     

Examining the extent of and determinants for sustainability assurance quality: The role of audit committees

This study examines the extent of and determinants for sustainability assurance quality. Data comprise sustainability assurance statements published by the top 100 listed companies in Australia and New Zealand from 2017 to 2019. The findings indicate that Australian companies lead their New Zealand counterparts in sustainability assurance. Although sustainability reporting has risen, assurance rates remain significantly low. Accountants dominate the market, and companies prefer to use their own auditors for sustainability assurance work. Sustainability assurance quality is poor and does not vary significantly among Australian and New Zealand companies. Low-quality sustainability assurance plays a limited role in mitigating potential stakeholder–agency conflicts. The regression analysis indicates that audit committee characteristics such as members' independence, industry/market expertise, and attending meetings enhance sustainability assurance quality, whereas audit committee size has no affect. These findings suggest that audit committee characteristics such as independence, industry expertise, and regular meeting attendance have the potential to reduce stakeholder–agency conflicts by improving the quality of sustainability statement assurance. Our findings build on the sustainability assurance literature by exploring current trends in sustainability assurance practices in Australia and New Zealand where corporate governance codes have been recently revised. Further, these findings are timely given recent changes in standards (International Standard on Assurance Engagements [ISAE] 3000 and Global Reporting Initiative [GRI]). Our study contributes to the audit committee literature and sheds light on the role played by audit committee characteristics on sustainability assurance statement quality. The study findings potentially offer useful insights for practitioners, standard setters, and regulators.     

Forecasting value‐at‐risk in oil prices in the presence of volatility shifts

Recent evidence suggests shifts (structural breaks) in the volatility of returns causes non‐normality by significantly increasing kurtosis. In this paper, we endogenously detect significant shifts in the volatility of oil prices and incorporate this information to estimate Value‐at‐Risk (VaR) to accurately forecast large declines in oil prices. Our out‐of‐sample performance results indicate that the model, which incorporates both time varying volatility (without making any distributional assumptions) and shifts in volatility, produces more accurate VaR forecasts than several benchmark methods. We make a timely contribution as the recent more frequent occurrences of unexpected large oil price declines has gained significant attention because of its substantial impact on the financial markets and the global economy.     

Exposure to Provincial and National Information and Firm Performance: Crisis Period Evidence from China

This paper examines the impact of exposure to provincial and national information on the performance of non-financial Chinese firms during the recent global financial crisis (2007 to 2009). The results show that firms with higher level of exposure to provincial information are affected less by the crisis than firms with higher level of exposure to national information. The results are also robust across various proxies of firm performance. The main contribution of this paper is to highlight sources of value for Chinese firms during the recent financial crisis. More importantly, this paper uses publicly available information to draw attention on the role played by national and provincial sources of information in defining firm performance during the recent global financial crisis.

     

Information technology and firm performance: mediation role of absorptive capacity and corporate entrepreneurship in manufacturing SMEs

ABSTRACT

The success of small and medium-sized enterprises (SMEs) depends on dynamic capabilities, as it provides opportunities to remain competitive and perform well in the dynamic business environment. Although several studies show the significant positive impacts of dynamic capabilities on firm performance, our knowledge of the underlying mechanism through which IT capabilities affect the firm performance is not yet clear. Applying the dynamic capability view, this study investigates the intervening role of absorptive capacity and corporate entrepreneurship. The data of 417 respondents is collected from medium-sized manufacturing sector SMEs in Punjab, Pakistan. The research hypotheses have been analysed through the structural equation modelling method by using the Smart-PLS software. The research findings show that absorptive capacity and corporate entrepreneurship partially mediates the relationship between IT capabilities and firm performance. Furthermore, the sequential path of IT technical skills, absorptive capacity, corporate entrepreneurship, and firm performance is highly significant as compared to other paths.     

Flexible inflation targeting and financial stability: Is it enough to stabilize inflation and output?

We investigate empirically whether a central bank can promote financial stability by stabilizing inflation and output, and whether additional stabilization of asset prices and credit growth would enhance financial stability in particular. We employ an econometric model of the Norwegian economy to investigate the performance of simple interest rate rules that allow a response to asset prices and credit growth, in addition to inflation and output. We find that output stabilization tends to improve financial stability. Additional stabilization of house prices, equity prices and/or credit growth enhances stability in both inflation and output, but has mixed effects on financial stability. In general, financial stability as measured by e.g., asset price volatility improves, while financial stability measured by indicators that depend directly on interest rates deteriorates, mainly because of higher interest rate volatility owing to a more active monetary policy.     

Driving restrictions that work? Quito's Pico y Placa Program

Programs to reduce traffic congestion and air pollution by restricting use of motor vehicles on working days have generally not met with success, given existing studies of such programs. We conduct the first study of Quito, Ecuador's four‐year‐old Pico y Placa program and find that it has reduced ambient concentrations of carbon monoxide (CO), a pollutant primarily emitted by vehicles, by 9% to 11% during peak traffic hours. Given that ambient concentrations of CO generally track the spatial and temporal distributions of traffic, these reductions in pollution suggest similar reductions in vehicle flows. We find no significant evidence that traffic has shifted to other times of the day or week, or to other locations.