Innovation and performance in the hotel industry

The growing competition in the hotel industry is one of the main challenges of this segment, which increasingly depends on the ability to innovate. Thus, this article aims to analyze the impact of innovation on the performance of employees and hotel organizations. This is an exploratory study, with a quantitative approach using a structured computer-administered questionnaire to 73 managers of hotel chains, located in Brazil, which correspond to 792 hotels. Data analysis used multiple linear regression method with SPSS software to find out the relationship between the factors of innovation (communication, processes, leadership, and strategy) and the performance of employees and hotel organizations. Results show that the factors of communication, leadership, and strategy directly influence the performance of the employees. However, only the leadership factor directly affects the performance of hotel organizations.     

Awareness as a foundation for developing effective spatial data infrastructures

The development of an effective spatial data infrastructure (SDI) often occurs in a fragmented organizational environment requiring a high level of inter-organizational collaboration. Different organizations from various jurisdictions need to work together closely when agreeing on how they will jointly register, store, use and share data and how they will make their data available to the wider society. However, this collaboration is generally regarded as very difficult. For example people often resist data sharing across organizational boundaries due to loss of control, power and independency. Organizational issues are thus considered one of the fundamental constraints to inter-organizational sharing of spatial data.     

Resource allocation strategy for innovation portfolio management

Our study demonstrates empirically that the choice of resource allocation strategy affects innovation performance. Allocating resources to a broader range of innovation projects increases new product sales, an effect that appears to outweigh that of resource intensity. In addition, we find that the performance benefit of breadth is higher for firms that allocate resources selectively at later stages of the innovation process. This breadth‐selectiveness effect is greatest for firms intending to create relatively more novel products, departing further from their knowledge base. Based on these results, we theorize that breadth increases performance because it spreads firms' bets on unproven innovative endeavors. Limiting resource commitments by selecting out deteriorating projects prevents an escalation in the costs of breadth. This advantage increases with the uncertainty implicit in greater innovative intent. The paper thus contributes to theory of how resource allocation strategies influence performance outcomes of innovation project portfolios. Copyright © 2013 John Wiley & Sons, Ltd.     

With or without you: market quality of floor trading when screen trading closes early

Most stock markets are characterized by a number of parallel operating trading systems which interact intensively with each other. Usually, smaller trading platforms take the leading domestic main market as a benchmark in the price discovery process and for closing open trading positions. But what happens if the smaller trading systems suddenly have to act without this benchmark platform? We examine the effects of the reduction of the daily business hours of a screen based main trading system while a parallel floor based trading system keeps on operating. We provide evidence that liquidity improves while informed trading and informational efficiency of prices decrease at the floor based trading system as a result of the no longer operating main market. While prior research on parallel trading focuses on changes due to a growing number of trading venues, we present the first evidence on market effects when the main trading platform reduces trading hours.     

Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations

In most surveys, one is confronted with missing or, more generally, coarse data. Traditional methods dealing with these data require strong, untestable and often doubtful assumptions, for example, coarsening at random. But due to the resulting, potentially severe bias, there is a growing interest in approaches that only include tenable knowledge about the coarsening process, leading to imprecise but reliable results. In this spirit, we study regression analysis with a coarse categorical‐dependent variable and precisely observed categorical covariates. Our (profile) likelihood‐based approach can incorporate weak knowledge about the coarsening process and thus offers a synthesis of traditional methods and cautious strategies refraining from any coarsening assumptions. This also allows a discussion of the uncertainty about the coarsening process, besides sampling uncertainty and model uncertainty. Our procedure is illustrated with data of the panel study ‘Labour market and social security' conducted by the Institute for Employment Research, whose questionnaire design produces coarse data.     

Barreras comerciales y empleo en las cadenas mundiales de suministro

A partir de estimaciones de la OIT del empleo en las cadenas mundiales de suministro, se estudia el impacto de las barreras al comercio de bienes y servicios sobre los empleos nacionales. El análisis empírico confirma las predicciones de un modelo teórico calibrado con datos de la WIOD para 2000 y 2011. Las barreras al comercio de bienes y servicios tienen un impacto transfronterizo sobre los empleos del sector directamente afectado y efectos indirectos sobre otros sectores que aumentan con el tiempo. La creciente interconexión entre países y sectores en las cadenas mundiales de suministro implica que las políticas comerciales pueden tener importantes efectos sobre los mercados de trabajo de otros países.