Big data in smart tourism: challenges,issues and opportunities

In the era of digital transformation, Big Data have assumed a crucial role in changing the global travel and providing significant challenges and opportunities for established companies, as well as new entrants into the tourism industry. All these companies can get valuable information on Big Data for predicting tourist demand, enabling better decision-making, managing knowledge flows and interaction with customers, and providing the best service in a more efficient and effective way. This can result in improved productivity, increased customer satisfaction, personalized marketing campaigns, and more efficient operations. However, open research issues about the role of Big Data in the tourism industry can be still recognized. With these premises, this Editorial aims to present the articles included in the special issue of Current Issues in Tourism titled ‘Big data in smart tourism: challenges, issues and opportunities’, which has called for research contributing to the recent debates on the implications and challenges of the adoption of Big Data to improve the competitiveness of tourism destinations and companies. Main topics considered by the accepted articles include a literature review proposing a novel theoretical investigative frameworks, metrics and critical dimensions, and empirical investigations of the use of Big Data in different tourism contexts.     

Transport biofuels in the European Union: The state of play

The implementation of the Biofuels Directive (2003/30/EC) in 25 member states is assessed here. Implementation problems are identified and analysed for the purpose of suggesting a way forward for biofuels policy in the European Union. Three main patterns are observed: effective implementation, formal compliance and weak implementation. Problems encountered in the policy process are both of a practical and more fundamental nature, i.e., due to a lack of consensus on the priority of competing policy objectives and disagreement on the suitability of first-generation biofuels for reaching the objectives. In this situation, stronger enforcement of targets does not appear to be a constructive way forward. Based on our analysis, we argue that the European Union should instead, and in agreement with the principle of subsidiarity, allow member states more flexibility.     

An evaluation of the performance and suitability of R × C methods for ecological inference with known true values

Ecological inference refers to the study of individuals using aggregate data and it is used in an impressive number of studies; it is well known, however, that the study of individuals using group data suffers from an ecological fallacy problem (Robinson in Am Sociol Rev 15:351–357, 1950). This paper evaluates the accuracy of two recent methods, the Rosen et al. (Stat Neerl 55:134–156, 2001) and the Greiner and Quinn (J R Stat Soc Ser A (Statistics in Society) 172:67–81, 2009) and the long-standing Goodman’s (Am Sociol Rev 18:663–664, 1953; Am J Sociol 64:610–625, 1959) method designed to estimate all cells of R × C tables simultaneously by employing exclusively aggregate data. To conduct these tests we leverage on extensive electoral data for which the true quantities of interest are known. In particular, we focus on examining the extent to which the confidence intervals provided by the three methods contain the true values. The paper also provides important guidelines regarding the appropriate contexts for employing these models.     

Interrelationships among lean bundles and their effects on operational performance

The aim of our research is to disentangle the complex relations among lean bundles and operational performance. In particular, we focus on the direct and mediating effects on operational performance of three of the main lean manufacturing bundles, namely Just in Time (JIT), Total Quality Management (TQM) and Human Resource Management (HRM). We run statistical analysis on the High Performance Manufacturing round III database, a survey involving 266 plants in nine countries across three different industries. Our results show that JIT and TQM have a direct and positive effect on operational performance while HRM has a mediated effect on it. Theoretical and managerial implications of our findings are then drawn and discussed.     

The “Bologna Process” and college enrollment decisions

We use survey data on high school graduates before and after the Italian reform of tertiary education implementing the “Bologna Process” to estimate its impact on college enrollment. Individuals leaving school after the reform have a probability of enrollment that is 15% higher compared to otherwise identical individuals. This increase is concentrated among individuals with good school performance and low parental background. We interpret this result as an indication of the existence of constraints – for good students from less advantaged households – on the optimal schooling decision. We also find a small negative impact of the reform on university drop-out.     

贝恩资本的印钞机

贝恩资本醉翁之意不在酒，它真正看好的是3COM同华为在中国的合资公司以及在中国市场上强劲的盈利能力。     

The hidden problem of Facebook and social media at work: What if employees start searching for other jobs?

Companies are increasingly encouraging employees to use Facebook and other social media to interact with coworkers in order to empower collaboration and knowledge sharing. Yet, there is a hidden problem that has been neglected by managers. The more employees interact with coworkers through social media to facilitate their work in the organization, the more likely they are to learn about and become interested in other companies via social media, form new work connections outside the organization, and engage in job search behaviors. The use of social media to facilitate work and benefit organizations could paradoxically risk fostering withdrawal intentions and turnover, which damage organizations. This article provides evidence of this paradox from an empirical study. After having identified the problem, the article proposes both the solutions to avoid and the solutions to adopt, illustrating best practices from successful companies, comparing their benefits and costs, and indicating the situations in which each solution is best implemented. To conclude, I offer 10 recommendations to turn the problem into an opportunity and use social media as an innovative recruitment tool.