Strategic groups in the hospitality industry: Intergroup and intragroup performance differences in Alicante, Spain

The hotel sector is currently immersed in a very uncertain, highly competitive environment, due to which it needs information for the correct management of its establishments. This information can be obtained from the classification of hotels in strategic groups. The present empirical research presents strategic groups in the hospitality industry as a useful tool for the planning and implementation of strategies by hotels that helps to determine their competitive strategies and advantages. This research paper additionally shows how the levels of performance between the hotels belonging to each group can be evaluated from strategic groups. In this study, the tool is applied to the hotel sector of the Spanish province of Alicante, a very important geographical area in the context of international tourism. The dimensions resource commitment and tourist activity scope have been used to define the strategic groups.     

Managerial practices driving knowledge creation,learning and transfer in translational research: an exploratory case study

Despite its growing popularity in the biomedical literature, the particular phenomenon of translational research management has not been addressed from an organizational and strategic perspective yet. Our study aims to fill this gap by identifying a set of managerial practices that could influence how knowledge is created, amplified and transferred from biomedical research both to clinical practice and the productive sector. As a result of the theoretical review, we have proposed a preliminary model to guide our empirical work. We have developed an exploratory case study to gather organisational information from an outstanding translational research center. The results obtained from the analysis have allowed us to build an induced model of managerial practices that both affect the creation, integration and transfer of knowledge in the translational research organization studied, as well as derives a set of research propositions. Finally, we present the main academic and managerial implications of the work, together with its limitations and related future research lines.     

Growth machines and social movements in mature tourist destinations Costa del Sol-Málaga

Abstract

The purpose of this study is to analyse the new processes of tourism growth and its conflicts from the perspective of social movements. First, the urban growth machine analysis model is applied by the systematisation of six projects. Second, the resistance movements against those projects and whether this resistance could be the start of local tourism degrowth policies are examined. The methodology is qualitative, based on documentary analysis, participatory observation, discussion groups and interviews. The case study is the destination of Costa del Sol-Málaga. The results enable the development of the urban growth machine model in tourist destinations. Meanwhile, social movements demystify the argument based on neoclassical economic progress. The social movements condemn the effects of large-scale top-down projects, and implement alternative bottom-up proposals. Although the social movements do not reject tourism, they call for greater control over its impact, denounce unlimited growth, overtourism and the loss of urban quality of life. These movements advocate a lifestyle linked to the everyday space, which they believe is threatened by excessive urban-tourism growth. They are a symptom of the need to devise a proposal using the principles of degrowth.     

The future of Russian gas exports to East Asia: Feasibility and market implications

For a long time, the Russian government has aimed to diversify gas exports to East Asian countries. This gearing of Russia towards Asia will have great consequences on world energy, the global economy, and geopolitics in the coming years. This paper analyzes the growth potential of Russia's diversification strategy and the impact this policy would have on sales to Europe. As the most likely scenario is for total gas exports to grow at a moderate rate from 2010 to 2030, any increase in sales to Asia could make difficult the raising of exports to Europe. Our thesis is that this trade-off will depend primarily on domestic consumption trends, geographic targeting of investments, and commercial and financial alliances with foreign partners. However, imports from Central Asia, declining exports to Ukraine and Belarus, and Gazprom investments in other gas-producing countries could also affect gas exports and gas distribution among different markets.     

EXCHANGE RATE FUNDAMENTALS,FORECASTING, AND SPECULATION: BAYESIAN MODELS IN BLACK MARKETS

Although speculative activity is central to black markets for currency, the out‐of‐sample performance of structural models in those settings is unknown. We substantially update the literature on empirical determinants of black market rates and evaluate the out‐of‐sample performance of linear models and non‐parametric Bayesian treed Gaussian process (BTGP) models against the random walk benchmark. Fundamentals‐based models outperform the benchmark in out‐of‐sample prediction accuracy and trading rule profitability measures given future values of fundamentals. In simulated real‐time trading exercises, however, the BTGP achieves superior realized profitability, accuracy and market timing, while linear models do no better than a random walk. Copyright © 2013 John Wiley & Sons, Ltd.     

Debt enforcement,investment, and risk taking across countries

We argue that the prospect of an imperfect enforcement of debt contracts in default reduces shareholder–debtholder conflicts and induces leveraged firms to invest more and take on less risk as they approach financial distress. To test these predictions, we use a large panel of firms in 41 countries with heterogeneous debt enforcement characteristics. Consistent with our model, we find that the relation between debt enforcement and firms’ investment and risk depends on the firm-specific probability of default. A differences-in-differences analysis of firms’ investment and risk taking in response to bankruptcy reforms that make debt more renegotiable confirms the cross-country evidence.     

Food Prices,Ethics and Forms of Speculation

Journal of Business Ethics - This paper examines the role of speculative motives in the determination of commodity prices and specifically food related commodity prices. The motivation for this...     

Growth Empirics in Panel Data Under Model Uncertainty and Weak Exogeneity

This paper considers panel growth regressions in the presence of model uncertainty and reverse causality concerns. For this purpose, my econometric framework combines Bayesian model averaging with a suitable likelihood function for dynamic panel models with weakly exogenous regressors and fixed effects. An application of this econometric methodology to a panel of countries over the 1960–2000 period highlights the difficulties in identifying the sources of economic growth by means of cross‐country regressions. In particular, none of the nine candidate regressors considered can be labeled as a robust determinant of economic growth. Moreover, the estimated rate of conditional convergence is indistinguishable from zero. Copyright © 2014 John Wiley & Sons, Ltd.     

An experimental analysis of team production in networks

Experimental and empirical evidence highlights the role of networks on social outcomes. This paper tests the properties of exogenously fixed networks in team production. Subjects make the same decisions in a team work environment under four different organizational networks: the line, the circle, the star, and the complete network. In all the networks, links make information available to neighbors. This design allows us to analyze decisions across networks and a variety of subject types in a standard linear team production game. Contribution levels differ significantly across networks and the star is the most efficient incomplete network. Moreover, our results suggest that subjects act as conditional cooperators with respect to the information received from the network.