Understanding cultural singularities of ‘Indianness’ in an intercultural business setting

Analysing data from the Indian information technology (IT) industry, this paper advances an understanding of cultural singularities of ‘Indianness’. The research context of an intercultural meeting place of IT and business process outsourcing firms’ overseas subsidiaries, Belgium in this case, allows the authors to identify 10 cultural singularities that typify ‘Indianness’. This ethnographic, reflexive study is further validated by employing Ghoshal's ‘smell of the place’ metaphor through the authors collective experiences as consultants and researchers, and builds and extends upon the popular cultural dimension frameworks for understanding intercultural business and management. Existing cultural dimensions do not sufficiently describe the contemporary intercultural dynamics that typically take place in workplaces, especially so in offshore and outsourcing environments. A provisional set of parameters for understanding Indian culture, with its relevant impact on business life (customs and manners), business processes and business deliverables are proposed in this study.     

Lyme Disease: A Case Report

Abstract

Using a needs-assessment technique called story-boarding to determine characteristics of health promotion and wellness among university students is discussed. Storyboarding allows students to work together as they generate ideas and eliminates the territorial defensiveness that often occurs when new ideas are suggested. Sixteen graduate students in a health education teaching methods course demonstrated the use of the technique to identify characteristics of wellness for university students. In addition, they identified content areas and outlined key programs, services, personal habits, and skills useful for enhancing university students' wellness.     

A Qualitative Analysis of College Women's Leaving Processes in Abusive Relationships

Abstract

Objective: This study assessed the process of leaving an abusive dating relationship utilizing a qualitative design. Methods: Participants included 123 college women in abusive dating relationships who participated at the beginning and end of a 10-week academic quarter. Results: Qualitative content analyses were used to analyze the transcribed responses to an open-ended question about women's leaving processes over the interim period. A variety of categories and themes emerged for women in different stages of the leaving process, consistent with the Transtheoretical Model of Change and Investment Model. Data also underscored women's lack of acknowledgment, minimization, and normalization of abuse. Conclusions: These data demonstrate the importance of dating violence intervention and prevention programming on college campuses and offer information that may be useful to college health providers who assist women in abusive dating relationships.     

A Fit Person to Run a Home: Registered Homes Tribunal Interpretations of the ‘Fit Person’ Concept in the United Kingdom

ABSTRACT

The abuse of people living in residential care in the UK is well documented. A further wealth of information is available in the form of anecdotal accounts of those who have been employed in this sector but who, in a climate which is still somewhat hostile to ‘whistle blowers,’ are not prepared to formally report their concerns. A small but significant amount of hard evidence of abuse exists in the reports of the Registered Homes Tribunal decisions. This body has the jurisdiction to hear appeals concerning the running of registered and nursing homes in the UK. The circumstances portrayed range from issues of ‘bad practice’ to abuse which may be physical, psychological, or sexual, perpetrated by staff, home owners, residents, or visitors. Many of the cases which concern the tribunal focus on whether a given individual is a ‘fit person’ to run a home. It is the aim of this article to consider and reflect on the tribunals’ interpretation of that term, in relation to the operation and decisions of the tribunal.     

基于职业工作过程的高职计算机基础课程教学改革实践

当前基于工作过程的课程体系建设已经成为我国高职教育课程发展的重要方向。文章针对计算机基础课程教学中面临的主要问题,结合实际的教学实践,对基于职业工作过程的高职计算机基础课程教学改革进行了探讨。     

Bayesian analysis of elapsed times in continuous‐time Markov chains

The authors consider Bayesian analysis for continuous‐time Markov chain models based on a conditional reference prior. For such models, inference of the elapsed time between chain observations depends heavily on the rate of decay of the prior as the elapsed time increases. Moreover, improper priors on the elapsed time may lead to improper posterior distributions. In addition, an infinitesimal rate matrix also characterizes this class of models. Experts often have good prior knowledge about the parameters of this matrix. The authors show that the use of a proper prior for the rate matrix parameters together with the conditional reference prior for the elapsed time yields a proper posterior distribution. The authors also demonstrate that, when compared to analyses based on priors previously proposed in the literature, a Bayesian analysis on the elapsed time based on the conditional reference prior possesses better frequentist properties. The type of prior thus represents a better default prior choice for estimation software.     

Sampling Returns for Realized Variance Calculations: Tick Time or Transaction Time?

This article introduces a new model for transaction prices in the presence of market microstructure noise in order to study the properties of the price process on two different time scales, namely, transaction time where prices are sampled with every transaction and tick time where prices are sampled with every price change. Both sampling schemes have been used in the literature on realized variance, but a formal investigation into their properties has been lacking. Our empirical and theoretical results indicate that the return dynamics in transaction time are very different from those in tick time and the choice of sampling scheme can therefore have an important impact on the properties of realized variance. For RV we find that tick time sampling is superior to transaction time sampling in terms of mean-squared-error, especially when the level of noise, number of ticks, or the arrival frequency of efficient price moves is low. Importantly, we show that while the microstructure noise may appear close to IID in transaction time, in tick time it is highly dependent. As a result, bias correction procedures that rely on the noise being independent, can fail in tick time and are better implemented in transaction time.     

Local polynomial estimation of Poisson intensities in the presence of reporting delays

Summary.  The system for monitoring suicides in Hong Kong has considerable delays in reporting as the cause of death needs to be determined by a coroner's investigation. However, timely estimates of suicide rates are desirable to assist in the formulation of public health policies. This motivated us to develop a non-parametric procedure to estimate the intensity function of a Poisson process in the presence of reporting delays. We give closed form estimators of the Poisson intensity and the delay distribution, conduct simulation studies to evaluate the method proposed and derive their asymptotic properties. The method proposed is applied to estimate the intensity of suicide in Hong Kong.     

A spatiotemporal auto-regressive moving average model for solar radiation

Summary.  To investigate the variability in energy output from a network of photovoltaic cells, solar radiation was recorded at 10 sites every 10 min in the Pentland Hills to the south of Edinburgh. We identify spatiotemporal auto-regressive moving average models as the most appropriate to address this problem. Although previously considered computationally prohibitive to work with, we show that by approximating using toroidal space and fitting by matching auto-correlations, calculations can be substantially reduced. We find that a first-order spatiotemporal auto-regressive (STAR(1)) process with a first-order neighbourhood structure and a Matern noise process provide an adequate fit to the data, and we demonstrate its use in simulating realizations of energy output.