Who benefits from job placement services? A two-sided analysis

In light of additional information market agents would achieve better outcomes, for example, a lower ask price for the buyer and a higher offer price for the seller. I examine this notion in a labor market, where employers and employees do not possess perfect information about wages, and address the question of who benefits from the information provided by job placement services? The empirical strategy considers the two-sided nature of the labor market. Estimates of employee and employer incomplete information are contrasted between users and non-users of placement services provided by Job Corps, America’s largest and most important job training program for youths. Findings suggest that employees that use placement services don’t have more information about better offer wages, relative to non-users. Interestingly, firms that employed users of placement services are better informed about reservation wages relative to firms that employed non-users.     

The business plan as a project: an evaluation of its predictive capability for business success

Although there is extensive research aimed at identifying the main success factors for new ventures, efforts directed at evaluating the real effect of the existence and quality of a business plan on a firm's survival chances have been limited. This study attempts to fill this gap by analyzing to what extent the quality of a business plan, measured according to its economic, financial and organizational viability, constitutes a good predictor of business survival; and how other variables related to the characteristics of the entrepreneur and the business can affect the predictive capability of the model under consideration. Hypotheses are tested using data collected from 2142 service firms. The results show that none of the three variables that evaluate business plan quality (economic, financial and organizational viability) seems to have a determining influence on survival chances. Adding essential characteristics related to the entrepreneur and the business (education and training, experience, kind of motivation, number of employees and start-up capital) does little to increase the model's predictive capabilities.     

Valuation in Emerging Markets: A Simulation Approach

Most of the foundations of valuation theory have been designed for use in developed markets. Because of the greater, and in some cases different, risks associated with emerging markets (although recent experience might suggest otherwise), investors and corporate managers are often uncomfortable using traditional methods. The typical way of capturing emerging-market risks is to increase the discount rate in the standard valuation model. But, as the authors argue, such adjustments have the effect of undermining some of the basic assumptions of the CAPM-based discounted cash flow model. The standard theory of capital budgeting suggests that estimates of unconditional expected cash flows should be discounted at CAPM discount rates (or betas) that reflect only “systematic,” or “nondiversifiable,” market-wide risks. In practice, however, analysts tend to take what are really estimates of “conditional” expected cash flows—that is, conditional on the firm or its country avoiding a crisis—and discount them at higher rates that reflect not only systematic risks, but diversifiable risks that typically involve a higher probability of crisis-driven costs of default. But there is almost no basis in theory for the size of the increases in discount rates. In this article, the authors propose that analysts in emerging markets avoid this discount rate problem by using simulation techniques to capture emerging-market risks in their estimates of unconditional expected cash flows—in other words, estimates that directly incorporate the possibility of an emerging-market crisis and its consequences. Having produced such estimates, analysts can then discount them using the standard Global CAPM.     

Small & Medium Gold & Fashion Enterprises (SMEs) in Arezzo,Italy: Competitive Challenges and Strategic Implications

ABSTRACT

This paper provides some empirical evidence on organizational characteristics and strategies of firms in the Italian gold and fashion industries. The analysis is based on a data set of three SME clusters in Arezzo (a city and province in Tuscany, Italy, southeast of Florence) which led us to the identification of two main alternative strategies which can be implemented when facing the new global competition: a firm-centered brand strategy and an outsourcing strategy (a supply alliance with co-branding possibilities with one or more large Italian firms). We analyzed the resources and competencies of firms that adopted different export marketing strategies and further explored the relationship between strategic choices and performance of participating firms (measured in terms of growth, innovation, and export capabilities). The results show that the choice of a strategy is strongly influenced by the ability of SMEs to respond to changes in consumer behavior and competition, and that some variables significantly affect performance. Both strategies can be effective, and in some cases it is suggested to follow the middle of the road competitive approach: combining the two strategies, exporting own brand directly to the end markets and collaborating with a large firm in order to achieve a sustainable and significant competitive advantage.     

Studying processes in and around networks

The industrial marketing literature on business networks has drawn attention to the importance and yet the complexities of managing in a context of fluid and dynamic inter-organizational relationships. This context also poses significant challenges to researchers who wish to better understand the evolution of networks and the processes occurring in and around them in order to generate valuable theoretical insight and actionable knowledge for practitioners. After reviewing the nature of process research, this paper considers the key methodological choices and tradeoffs faced by process researchers interested in studying network dynamics. These choices and tradeoffs are illustrated by drawing on a series of exemplary process studies of networks derived from the entrepreneurship, strategic management, organization theory and industrial marketing literatures. The paper concludes by proposing that future studies might benefit from focusing on key network transformations and from mobilizing programmatic investments.     

RESEARCH NETWORKS AS INFRASTRUCTURE FOR KNOWLEDGE DIFFUSION IN EUROPEAN REGIONS

This paper concentrates on the role of research network infrastructure in fostering the dissemination of innovation-related knowledge. It examines the structure of collaborative networks and of knowledge transfer between research, innovation and deployment activities in the field of information and communication technology for the European Union as a whole and for several European regions. Research networks complement diffusion networks by providing additional links and by increasing the number of the organisations involved in sharing and exchanging knowledge. Two types of actors are key players in these networks: hubs and gatekeepers. Hubs maintain the bulk of ties in the networks also helping the smaller and more isolated members remain connected. Gatekeepers bridge research and diffusion networks. Such organisations naturally offer greater policy leverage in establishing a European knowledge infrastructure. Moreover, strengthened inter-network connectivity among research and diffusion activities (deployment) would raise the effectiveness of European research in terms of accelerating innovation.     

Neural network volatility forecasts

We analyse whether the use of neural networks can improve ‘traditional’ volatility forecasts from time-series models, as well as implied volatilities obtained from options on futures on the Spanish stock market index, the IBEX-35. One of our main contributions is to explore the predictive ability of neural networks that incorporate both implied volatility information and historical time-series information. Our results show that the general regression neural network forecasts improve the information content of implied volatilities and enhance the predictive ability of the models. Our analysis is also consistent with the results from prior research studies showing that implied volatility is an unbiased forecast of future volatility and that time-series models have lower explanatory power than implied volatility. Copyright © 2008 John Wiley & Sons, Ltd.     

Water pricing policies,public decision making and farmers' response: implications for water policy

The problems caused by water scarcity demand important changes in the criteria and objectives of water policies. The agricultural sector in Spain consumes up to 80% of all available hydric resources and the need to increase the efficiency of current uses of water in the agricultural sector is at the core of the country's national water policy. One alternative would be to resort to water pricing policies with the aim of providing incentives to save water consumption although it would inflict a certain degree of income losses to the farmers and raise the revenue collected by the water authorities. The objective of this research is to analyze the effect caused by the application of different water pricing policies on water demand, farmers' income and the revenue collected by the government agency. To undertake this analysis a dynamic mathematical programming model has been built that simulates farmers' behavior and their response to different water pricing scenarios. Empirical application of the model has been carried out in several irrigation districts in Spain covering varied farm regions and river basins. Results show that the effects of alternative pricing policies for irrigation water are strongly dependent on regional, structural and institutional conditions and that changing policies produce distinct consequences within the same region and water district. Thus, equivalent water charges would create widespread effects on water savings, farm income and collected government revenue across regions and districts.     

Family ownership and environmental performance: The mediation effect of human resource practices

Previous literature has found that listed family firms underperform their nonfamily counterparts in terms of environmental performance, but has not explained why this occurs. We address this research gap by hypothesizing that training and development practices (i.e., managerial practices devoted to providing training and development for the workforce) mediate the relationship between family blockholders and environmental performance. Using a sample of 33,901 firm‐year observations from 2002 to 2016 distributed across 56 countries and employing the structural equation model technique, we find that investment in training and development practices explains almost half of the negative relationship between family blockholders and environmental performance. Our study contributes to the agency theory debate on principal–principal problems by explaining why family blockholders could damage other blockholders and minority shareholders.     

The relationship between Entrepreneurial Orientation,Market Orientation and Performance in University Spin-Offs

The paper aims to examine the relationship between Entrepreneurial Orientation (EO), Market Orientation (MO) and performance in University Spin-Offs (USOs). Initially, the paper, assesses the existence of a moderating effect of MO in the relationship between EO and performance, next, it analyses the mediation role of MO between EO and performance. To strengthen paper results, we test our hypotheses on a cross-sectional sample of 162 Italian USOs using both perceived and objective performance. Findings suggest that there is no synergistic effect of MO and EO as mutually independent constructs. Instead, our evidences support the idea that EO and MO in USOs occur within the same learning process. Both EO and MO support USO performance, but MO cannot occur without EO as an antecedent condition. At the same time, a significant portion of the EO contribution to performance occurs through MO.