The influence of internet customer reviews on the online sales and prices in hotel industry

In this paper, the impact of two service quality metrics (star rating and customer rating) on hotel room sales and prices is investigated. Two of the most popular tourist destinations in the world, Paris and London, are chosen. It is found that a higher customer rating significantly increases the online sales of hotels. The study results show that a 1% increase in online customer rating increases Sales per Room up to 2.68% in Paris and up to 2.62% in London. Contrary to expectations, higher stars do not increase the sales. It is also shown that higher customer ratings result in higher prices of the hotel and the prices of high star hotels are more sensitive to online customer ratings.     

Conceptual and mathematical model for quality improvement in health care

Numerous studies have shown that implemented models for quality assurance or improvement in healthcare facilities differ, even those models that are based on the same guidelines, i.e. standards, regulations or concepts. The cause of diversity in implemented quality models could be found in the process of translating guidelines into the implemented model for quality assurance or improvements in healthcare facilities, while neglecting processes of healthcare facilities that are not clinical processes, but still responsible for the quality of healthcare services. Therefore, this research recommends a conceptual model that should be a link between guidelines, implemented models and mathematical models derived from the conceptual model, which could provide a means of evaluating quality values of any part of the healthcare organization.     

An Exploratory Study of Brand Success: Evidence From the Food Industry

The goal of this research is to identify drivers that influence the brand success, in order to develop a more effective business strategy. An abductive theory approach is adopted and food managers from Italy and Sweden were questioned. The authors modeled the eight correlated first-order factors, using seven independent variables and the dependent variable brand success. The variance-based structural equation modeling approach (partial least square [PLS] algorithm) have been applied. This study provides insight and empirical evidence on brand success. The findings can be employed as more effective brand strategies in a sector that has been under-investigated in academic literature and practice.     

Robust adaptive rate-optimal testing for the white noise hypothesis

A new test is proposed for the weak white noise null hypothesis. The test is based on a new automatic selection of the order for a Box–Pierce (1970) test statistic or the test statistic of Hong (1996). The heteroskedasticity and autocorrelation-consistent (HAC) critical values from Lee (2007) are used, allowing for estimation of the error term. The data-driven order selection is tailored to detect a new class of alternatives with autocorrelation coefficients which can be o(n^−1/2)$o\left(n^{-1/2}\right)$ provided there are sufficiently many of such coefficients. A simulation experiment illustrates the good statistical properties of the test both under the weak white noise null and the alternative.     

Evolution of the practices of human resource management in France towards a strategic model: rhetoric or reality?

This article analyses the evolution of the human resources management in France. The study attempts to understand the transformation of administrative practices of HRM towards strategic practices of HRM (SHRM) in the French context. It also shows the factors responsible for this change. The results of this study support the development in France of SHRM and the regression of administrative practices of HRM, although a third hybrid model of HRM seems to appear between both practices. This tendency towards SHRM is accentuated in large firms, quoted on the stock exchange, in services and finance sectors with international activities. This study confirms that the SHRM in France is reality rather than rhetoric.     

Critical factors associated with relationship conflicts and group atmosphere among Taiwanese adolescents

This paper investigates relationship conflict amongst Taiwanese adolescents. The data was taken on Taiwanese adolescents aged 15–17 who attended 16 high schools which are located in north, middle, south, and the east of Taiwan. They were invited to participate in the study during the 2010 school year. This paper explores the patterns among relationship conflict including its impact, the social dimensions, the time aspects, the psychological implications, the physical dimensions, and the performance and overall risks involved in group atmospheres. The ways relationship conflict handling styles correlate with the group atmosphere were also explored. Each one of the risk variables’ correlations and relationship conflict were explored. As part of this study upon correlating each one of the risk variables and relationship conflict, the researchers studied the correlations between the risk variables and the group atmosphere.     

Going beyond the traditional destination competitiveness – reflections on a smart destination in the current research

ABSTRACT

This paper reviews the literature on tourism destination competitiveness from different aspects, focusing on comparative and competitive advantages. Also, the paper highlights the importance of information and communication technologies (ICTs) in tourism destinations and their increasing impact on the achievement of destination competitiveness. Thanks to the wider application of ICTs in tourism, tourists nowadays are well informed and have access to global market which creates a new dynamic environment by creating a smart demand. Since smartness emphasizes on ICT-based tools, including smartness integration for value co-creation, it can increase and enhance destination competitiveness. In this regard, special emphasis is placed on exploring the core components of smartness and smart tourism destination.     

Methods of Partial Hedging

In this article we survey methods of dealing with the following problem: A financial agent is trying to hedge a claim C, without having enough initial capital to perform a perfect (super) replication. In particular, we describe results for minimizing the expected loss of hedging the claim C both in complete and incomplete continuous-time financial market models, and for maximizing the probability of perfect hedge in complete markets and markets with partial information. In these cases, the optimal strategy is in the form of a binary option on C, depending on the Radon-Nikodym derivative of the equivalent martingale measure which is optimal for a corresponding dual problem. We also present results on dynamic measures for the risk associated with the liability C, defined as the supremum over different scenarios of the minimal expected loss of hedging C. This revised version was published online in August 2006 with corrections to the Cover Date.     

Beliefs regarding fundamental value and optimal investing

Standard optimal portfolio selection models take no account of the special information that active investors believe they possess. For example, active investors who believe they can place bounds on the price of a security will want to use that information when assessing risk and expected return in order to construct an optimal portfolio. In this paper, we use two continuous-time models to analyze how placing boundaries on the price of a stock affects assessed risk, expected returns, and the optimal holdings of an active investor, and how those vary as a function of the relation between the stock price and the boundaries. In particular, the optimal strategy takes significant long/short positions as the price nears its lower/upper boundary.