Model Analysis of the Relationship Between Strategic Organization Knowledge and the Use of Information Systems in Firm Performance in Brazil

Information Technology （IT） consolidates as an essential element to support the business strategies to survive and rapidly adapts to changes in the competitive environment. This paper examines the impact of the use of information systems （IS） and strategic organization knowledge （SOK） on firm performance in 150 Brazilian companies. The study uses partial least squares structural equation modeling （PLS-SEM） and establishes models to express the relationship among the constructs examined. The study identifies that the direct influence of 1S use on performance is moderately significant. However, when mediated by orientation strategy, the total effect of IS use on firm performance is demonstrated to be highly significant. The model explains 54% of the variability of firm performance and confirms IS use as a fundamental resource to support strategic business processes.     

Let's Get Messi? Top‐Scorer Productivity in the European Champions League

Getting a player like Lionel Messi in the squad would seem like a dream come true for a professional football manager, but is it always best to have top‐quality players? We study the determinants of top goal‐scorers’ productivity in the UEFA Champions League. We find evidence of a concave relationship between age and productivity and uncover an inverted‐U relationship between performance and minutes played. Finally, we find a positive effect on height, being left footed and being a striker on the probability of scoring a goal. The results have important implications for managers both in looking to sign on new players and to maximise their potential during a competitive match.     

21 years of international M&As and joint ventures by Italian medium-sized listed firms: Value creation or value destruction?

This study provides evidence of the value creation of different equity entry modes in a sample of international investments performed by all Italian medium-sized listed firms in the period 1986-2006. Our research shows a positive and significant market reaction to announcements of internationalization strategies. The results are largely affected by high-equity entry modes carried out in advanced economies. Low-equity entry modes and international operations performed in emerging countries show no significant market reaction. We also find that the relative size of the deal, the firm age, the country risk, and the evolution of information disclosure regulation, matter in explaining the outcomes.     

A Stochastic Model of Wealth Accumulation with Class Division

This paper is aimed at contributing to the literature on income and wealth inequality by proposing a simple stochastic model in which wealth accumulation depends on the ‘social relation’ between two classes: capitalists or workers. As a result, the society may evolve towards an unequal outcome with few rich and many poor individuals. We study the dynamic properties of the model by means of computer simulations. A maximum likelihood estimation procedure is applied to analyse the Pareto or power law tail of wealth distribution. We also provide a scenario analysis to explore the system's behaviour under alternative parameter settings.     

R&D competition, absorptive capacity, and market shares

This paper deals with an oligopolistic industry where firms are engaged in cost-reducting R&D activity to maximize their market shares. The existence and uniqueness of a feedback-Nash-optimal R&D strategy for each firm are discussed. Our simulations highlight that variations in spillovers hardly influence the firms' R&D investment, if their absorptive capacities to exploit extramural knowledge depend on their R&D efforts. Moreover, extramural knowledge cannot completely replace in-house R&D. However, a high level of public R&D favors the firm with the most restrictive R&D expenditure constraint and/or with the lowest initial R&D stock, provided it invests in R&D.     

Spot water markets and risk in water supply

Water availability patterns in semiarid regions are typically extremely variable. Even in basins with a highly developed infrastructure, users are subject to unreliable water supplies, incurring substantial economic losses during periods of scarcity. More flexible instruments, such as voluntary exchanges of water among users, can help users to reduce risk exposure. This article looks at the effects of spot water markets on the economic risk caused by water availability variations. Our theoretical and empirical risk analyses are based on the random profits of water users. Profit probability density functions are formally and graphically characterized for both water sellers and buyers under several possible market outcomes. We conclude from this analysis that, where water supply is stochastic, water markets unambiguously reduce both parties' risk exposure. The empirical study is conducted on an irrigation district in the Guadalquivir Valley (Southern Spain), where there is a high probability of periods of extreme water scarcity. Water demand functions for the district representative irrigators and a spatial equilibrium model are used to simulate market exchanges and equilibrium. This programming model is combined with statistical simulation techniques. We show that the profit probability distribution of a representative irrigator is modified if water exchanges are authorized, leading to risk reductions. Results also indicate that if the market were extended to several districts and users that are subject to varying hydrological risk exposure, extremely low‐profit events would be less likely to occur. In sum, we show that exchanging water in annual spot markets can reduce farmers' economic vulnerability caused by water supply variability across irrigation seasons. These results support the water policy reform carried out in Spain in 1999 to allow for voluntary water exchanges among right holders.     

The Role of Expectations in Explaining the Cross-Section of Stock Returns

We find highly significant results when the cross-section of market-adjusted stock returns is regressed against changes in analyst expectations this year about: (1) this year's earnings, (2) next year's earnings, (3) long-term earnings growth, and (4) noise (measured as the standard deviation of analyst forecasts). Surprisingly, changes in expectations about this year's earnings are not significant in a multiple regression with the other independent variables. Changes in expectations about next year's earnings are highly significant but with an impact that is much smaller than that of changes in expectations about the long-term growth in earnings. Changes in noise are also statistically significant and are negatively related to market-adjusted returns, an indication that the signal to noise ratio, rather than merely the signal, is what drives price adjustments to new information.     

Does the quality of public-sponsored training programs matter? Evidence from bidding processes data

This paper analyzes the link between training quality and labor-market outcomes. Multiple proxies for training quality are identified from bidding processes in which public and private training institutions compete for limited public funding in Peru. Information about exact dates of program enrollment is analyzed to show whether the first-come-first-served assignment rule randomized eligible individuals across courses of varying quality. Generalized propensity score (GPS) is implemented to estimate dose–response functions in the context of multiple treatments. We find that beneficiaries attending high-quality training courses show higher earnings and better job-quality characteristics than either beneficiaries attending low-quality courses or nonparticipants. The returns are particularly robust for women, making the provision of high-quality training services cost-effective. Furthermore, the most important training attribute is expenditures per trainee. Class size and infrastructure are weakly related to the expected impacts, while teacher experience, curricular activities, and market knowledge seem to bear no relationship with the expected impacts. External validity was assessed by using five cohorts of individuals over an eight-year period.     

Personal and regional redistribution through public finance in a federal setting

Following a partial equilibrium approach, this paper studies the effect of fiscal policy on income distribution in Argentina, based on budget information corresponding to the year 2004. Specifically, it aims to provide an empirical answer to a set of questions related to the responsibility of different levels of government (national or provincial) in ensuring the equitable distribution of income; how this responsibility is accomplished in practice, when this function is shared among two or more levels of government; whether an incompatibility arises among the policies from different levels of government; and the effect of fiscal policy on personal and regional income distribution.The main results of the paper are summarized as follows. At the aggregate level, both national and provincial budgets have a redistributive impact on personal income distribution, through a combination of progressive expenditures and (slightly) regressive taxes. Regional redistribution depends on two fiscal tools: the national budget and the revenue sharing regime. The progressive effect of expenditures and taxes interacts with the geographical effect of the revenue-sharing and the national budget, reinforcing progressivity in net-receiving groups and creating a trade-off between progressivity and (negative) regional transfer in net-financing ones. Provincial budgets have more impact than the national budget, both being compatible in pursuing the redistributive goal.