Understanding the drivers of organizational innovations

Organizational innovations involve the implementation of significant changes in business practices, the workplace organization, and external relations. The article reports an analysis of organizational innovations' objectives and adoption in 240 Spanish healthcare businesses. Statistical tests find a dynamic behavior in healthcare organizations with 40.8% having developed an organizational innovation in the period from 2007 to 2009. The main objectives pursued are related to improved knowledge sharing and innovation skills. Results also reveal a close relationship between organizational and product/process innovations. Specifically, healthcare companies developing new organizational methods to improve innovation skills and knowledge sharing are more successful in adopting product and process innovations.     

Improving competitiveness through city marketing in Spanish hotels

The degree to which hotels can be competitive depends upon some very important factors, such as city promotion initiatives and city knowledge networks. The purpose of this study is to analyse and present how a city marketing procedure could become an effective tool for knowledge development and the competitiveness of Spanish hospitality hotels. Our findings support the view that in order to implement a marketing city programme oriented towards hotels, municipal managers need to provide and support knowledge creation networks. Furthermore, a hotel's size is significantly associated with levels of city promotion initiatives. Therefore, to consolidate marketing city results among small hotels, municipal managers need to reinforce the environment in which hotel managers operate and provide them with the means to survive in the context of a competitive knowledge-based economy.     

Remittances,monetary institutions,and autocracies

ABSTRACT

How do remittances affect the choice of exchange rate regimes? Previous research shows that remittances, by easing the ‘impossible trinity’, increase the probability of governments adopting fixed exchange rates. However, that research overlooks the conditioning effect of monetary and political institutions. We argue that remittances, by altering recipient governments’ incentives to use monetary policy counter-cyclically, make central bank independence a credible anti-inflationary tool in less credible regimes; that is, autocracies. Thus, autocracies that receive remittances do not need to rely on fixed exchange rates. In this way, remittances open policy alternatives for developing autocracies. Statistical tests on a sample of 87 developing and transitional countries between 1980 and 2010 support our argument.     

Product Innovation Management in Spain

In line with the latest studies of product innovation management, Angel Martinez Sanchez and Luis Navarro Elola report results from their study of 56 industrial firms in Spain. The results reveal a systematic process of new products development with little consideration given to innovation, but with a contrasting preoccupation with market activities.     

Methods for the Analysis of Explanatory Linear Regression Models with Missing Data Not at Random

Since the work of Little and Rubin (1987) not substantial advances in the analysisof explanatory regression models for incomplete data with missing not at randomhave been achieved, mainly due to the difficulty of verifying the randomness ofthe unknown data. In practice, the analysis of nonrandom missing data is donewith techniques designed for datasets with random or completely random missingdata, as complete case analysis, mean imputation, regression imputation, maximumlikelihood or multiple imputation. However, the data conditions required to minimizethe bias derived from an incorrect analysis have not been fully determined. In thepresent work, several Monte Carlo simulations have been carried out to establishthe best strategy of analysis for random missing data applicable in datasets withnonrandom missing data. The factors involved in simulations are sample size,percentage of missing data, predictive power of the imputation model and existenceof interaction between predictors. The results show that the smallest bias is obtainedwith maximum likelihood and multiple imputation techniques, although with lowpercentages of missing data, absence of interaction and high predictive power ofthe imputation model (frequent data structures in research on child and adolescentpsychopathology) acceptable results are obtained with the simplest regression imputation.     

Parametric inference from system lifetime data under a proportional hazard rate model

In this paper, we discuss the statistical inference of the lifetime distribution of components based on observing the system lifetimes when the system structure is known. A general proportional hazard rate model for the lifetime of the components is considered, which includes some commonly used lifetime distributions. Different estimation methods—method of moments, maximum likelihood method and least squares method—for the proportionality parameter are discussed. The conditions for existence and uniqueness of method of moments and maximum likelihood estimators are presented. Then, we focus on a special case when the lifetime distributions of the components are exponential. Computational formulas for point and interval estimations of the unknown mean lifetime of the components are provided. A Monte Carlo simulation study is used to compare the performance of these estimation methods and recommendations are made based on these results. Finally, an example is provided to illustrate the methods proposed in this paper.     

Return to tourist destination. Is it reputation,after all?

In this paper the hypothesis that repeated purchases in the tourism markets could be considered as a consequence of asymmetrical information problems is studied. This hypothesis is analysed with the case study of the island of Tenerife using the estimation of a count data model. It was found that the length of the stay and the information obtained from previous visits and/or relatives and friends might increase the return to a destination suggesting the presence of a reputation mechanism as proposed by Shapiro (1983 Shapiro, C. 1983. Premiums for high quality products as returns to reputations. Quaterly Journal of Economics, 98: 659–79. [Crossref], [Web of Science ®] , [Google Scholar]). The determinants of the willingness to return were also estimated, confirming the main results.     

Mapping retailing research with bibliometric indicators

Our study aims to give a global perspective regarding scientific research on retailing for the 1990–2014 period. The research shows a knowledge-domain-map that identifies the collaboration networks between authors and the links between journals. This was conducted through a bibliometric study that can be viewed with Visualization of similarities (VOS) viewer software. The results show that the Journal of Retailing and Management Science is the current leader in the field. In addition, Morgan and Hunt’s (1994) article in the Journal of Marketing is the most cited source to date.     

Time and Risk Diversification in Real Estate Investments: Assessing the Ex Post Economic Value

Welfare gains to long-horizon investors may derive from time diversification that exploits nonzero intertemporal return correlations associated with predictable returns. Real estate may thus become more desirable if its returns are negatively serially correlated. While it could be important for long-horizon investors, time diversification has been mostly investigated in asset menus without real estate and focusing on in-sample experiments. This article evaluates, ex post, the out-of-sample gains from diversification when equity real estate investment trusts (REITs) belong to the investment opportunity set. We find that diversification into REITs increases both the Sharpe ratio and the certainty equivalent of wealth for all investment horizons and for both classical and Bayesian (who account for parameter uncertainty) investors. The increases in Sharpe ratios are often statistically significant. However, the out-of-sample average Sharpe ratio and realized expected utility of long-horizon portfolios are frequently lower than that of a one-period portfolio, which casts doubt on the value of time diversification.