Understanding the leadership perceptions of staff in China's hotel industry: Integrating the macro- and micro-aspects of leadership contexts

The objective of this paper is to understand the leadership perceptions of staff in China's hotel industry. This study integrates the macro- and micro-aspects of leadership contexts by identifying the contextual variables that affect leadership perceptions. In leadership research, industry setting, the hierarchical levels of an organization, and national culture are recognized as the contextual constraints that affect leadership perceptions, and these constraints were used in this empirical study. Four factors emerged from the factor analysis of a survey study: professionalism; integrity; masculinity or yang; and femininity or yin. A key finding indicates that both the industry setting and the hierarchical levels of an organization affect professionalism. Implications for the training and development of future international hospitality leaders and local staff are considered.     

The experience of teleworking: an annotated review

The paper reviews the contemporary literature on the experience of teleworking. Particular attention is paid to the socializing aspects of work and its comparative absence when working from home; economic considerations, both for homeworkers and for the firms; work satisfaction and motivation; supervision; roles and gender issues in homeworking; the organization of time and space; and, lastly, questions of self-discipline. The evidence reviewed is based on various teleworking trials conducted mainly during the 1980s; this information is supplemented by original research conducted by the authors which investigated the pros and cons raised by British Telecom operators who were due to take part in a teleworking trial. These operators anticipated many of the issues faced by those who actually had teleworking experience.     

Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models

There has been considerable and controversial research over the past two decades into how successfully random effects misspecification in mixed models (i.e. assuming normality for the random effects when the true distribution is non‐normal) can be diagnosed and what its impacts are on estimation and inference. However, much of this research has focused on fixed effects inference in generalised linear mixed models. In this article, motivated by the increasing number of applications of mixed models where interest is on the variance components, we study the effects of random effects misspecification on random effects inference in linear mixed models, for which there is considerably less literature. Our findings are surprising and contrary to general belief: for point estimation, maximum likelihood estimation of the variance components under misspecification is consistent, although in finite samples, both the bias and mean squared error can be substantial. For inference, we show through theory and simulation that under misspecification, standard likelihood ratio tests of truly non‐zero variance components can suffer from severely inflated type I errors, and confidence intervals for the variance components can exhibit considerable under coverage. Furthermore, neither of these problems vanish asymptotically with increasing the number of clusters or cluster size. These results have major implications for random effects inference, especially if the true random effects distribution is heavier tailed than the normal. Fortunately, simple graphical and goodness‐of‐fit measures of the random effects predictions appear to have reasonable power at detecting misspecification. We apply linear mixed models to a survey of more than 4 000 high school students within 100 schools and analyse how mathematics achievement scores vary with student attributes and across different schools. The application demonstrates the sensitivity of mixed model inference to the true but unknown random effects distribution.     

Animating the Pioneer versus Late Entrant Debate: An Historic Case Study

This paper examines the debate about whether early entrants/pioneers to an industry enjoy long–term advantage over their successors. While most of the research suggests that pioneers are advantaged, there are methodological problems with these studies that tend to enhance the likelihood that pioneers will be found to be more successful. Through a case study of the US animation industry, it is shown that being a late entrant was almost certainly advantageous to some of the companies concerned. The paper explores the reasons why some late entrants prevailed over others and some of the mechanisms that allowed late entrants to overcome pioneers. The factors involved in survival relative to pioneers include the limited protection of patents, complacency, the mobility of staff with expertise in a new technology (in this case cel animation), and the neglected importance of managerial and organizational factors. It is shown that the findings also have implications for the population ecology approach.     

Prostitution services: an exploratory empirical analysis

This study provides an empirical analysis of the market for some male prostitution services in the UK. Flexible working hours, part-time working, and multiple job holding are considered as important labour market characteristics in this service sector. Statistical models helping explain the provision of a deviant and a more mainstream sexual service is reported, utilizing cross-section data drawn from individual prostitute advertisements. The significance of various declared intrinsic endowments of the prostitutes are examined in relation to the offer of these services, including age, ethnicity, physique, and masculine demeanour.     

Parental preferences and choice of school

This paper provides a UK high resolution microeconometric study of parental preferences and the choice process for secondary schools. Given the particular geographical features of the region, first preference almost entirely related to one of two state schools, which is a situation that perhaps better reflects the real nature of the options faced by most parents in the UK. In contrast to earlier work, distance and access considerations were explicitly incorporated in the preference and choice models estimated and found to be a significant influence on parental decisions. Further significant factors were found, dependent upon the parents' actual choice of school.