Perceptions of the Characteristics of Good, Bad and Ordinary Workers on the Job: The Influence of Work Experience and Culture

As noted in Kim & Sikula (2003; 2004), there are three types of people in the workplace: people of Necessity, Common people, and Parasites. A person of Necessity is irreplaceable, crucial to the functioning of an organization. The Common person is a worker of average ability and talent who makes no significant difference to the success of an organization. Parasites are detrimental freeloaders, harmful to the functioning of an organization. In the 2004 paper we analyzed the survey responses of 25 students in an MBA Organizational Behavior class, and of 13 working managers, all in the United States. In this paper we replicate our 2004 study in a different cultural setting an MBA Organizational Behavior class in Bangalore, India--and then compare the results. The leading traits and behaviors that characterize the Necessity and Parasite categories, in both data sets, are very similar. Significant differences exist, however, between the data sets when it comes to identifying the leading traits and behaviors that define a Common worker. We conclude by exploring potential explanations for the similarities and differences, based on the respondents’ work experience and cultural background

The Key Characteristics of Different Types of Employees: A Summary of Six Studies

Purpose – The purpose of this paper is, first, to summarize six studies which analyze the key characteristics of different types of employees. Three types of employees found in workplaces all over the world are identified as “Necessities,” “Commoners,” and “Parasites” and, second, to combine the results of these studies in order to identify the key traits and behaviors that characterize each type of worker across a variety of social and cultural settings. Design/methodology/approach – For starters, three types of employees are defined. First, a person is a Necessity if s/he is irreplaceable and critical to the functioning of an organization. Second, a Commoner is a person of normal ability and talent who has no significant impact on organizational processes. Last, Parasites are detrimental freeloaders who damage the functioning of an organization. To identify the principal characteristics of these three types of workers, a group of researchers led by the first author conducted six studies in which they collected survey data from undergraduate and graduate business students in the USA, India, Korea, Chile, and Japan. Findings – The authors note the points of commonality and difference across the data sets, and offer their thoughts on future research in the area. The perceptions of what characterizes really good workers (people of Necessity) and very bad workers (Parasites) appear to be the same in all five countries. The picture painted for the Commoner across all data sets, however, is not as clear-cut. Originality/value – The study described in this paper helps to explain both similarities and differences in employee characteristics between and among workers in different countries and cultures

ProCOC: The prostate cancer outcomes cohort study

BACKGROUND: Despite intensive research over the last several decades on prostate cancer, many questions particularly those concerning early diagnosis and the choice of optimal treatment for each individual patient, still remain unanswered. The goal of treating patients with localized prostate cancer is a curative one and includes minimizing adverse effects to preserve an adequate quality of life. Better understanding on how the quality of life is affected depending on the treatment modality would assist patients in deciding which treatment to choose; furthermore, the development of prognostic biomarkers that indicate the future course of the illness is a promising approach with potential and the focus of much attention. These questions can be addressed in the context of a cohort study. METHODS/DESIGN: This is a prospective, multi-center cohort study within the canton of Zurich, Switzerland. We will include patients with newly diagnosed localized prostate cancer independently of treatment finally chosen. We will acquire clinical data including quality of life and lifestyle, prostate tissue specimen as well as further biological samples (blood and urine) before, during and after treatment for setup of a bio-bank. Assessment of these data and samples in the follow up will be done during routine controls. Study duration will be at least ten years. Influence of treatment on morbidity and mortality, including changes in quality of life, will be identified and an evaluation of biomarkers will be performed. Further we intend to set up a bio-bank containing blood and urine samples providing research of various natures around prostate cancer in the future. DISCUSSION: We presume that this study will provide answers to pertinent questions concerning prognosis and outcomes of men with localised prostate cancer

Lead exposure in adult males in urban Transvaal Province, South Africa during the apartheid era

Human exposure to lead is a substantial public health hazard worldwide and is particularly problematic in the Republic of South Africa given the country’s late cessation of leaded petrol. Lead exposure is associated with a number of serious health issues and diseases including developmental and cognitive deficiency, hypertension and heart disease. Understanding the distribution of lifetime lead burden within a given population is critical for reducing exposure rates. Femoral bone from 101 deceased adult males living in urban Transvaal Province (now Gauteng Province), South Africa between 1960 and 1998 were analyzed for lead concentration by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Of the 72 black and 29 white individuals sampled, chronic lead exposure was apparent in nearly all individuals. White males showed significantly higher median bone lead concentration (ME = 10.04 µg·g−1), than black males (ME = 3.80 µg·g−1) despite higher socioeconomic status. Bone lead concentration covaries significantly, though weakly, with individual age. There was no significant temporal trend in bone lead concentration. These results indicate that long-term low to moderate lead exposure is the historical norm among South African males. Unexpectedly, this research indicates that white males in the sample population were more highly exposed to lead

Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies

Aims: There is debate about the optimum algorithm for cardiovascular disease (CVD) risk estimation. We conducted head-to-head comparisons of four algorithms recommended by primary prevention guidelines, before and after ‘recalibration’, a method that adapts risk algorithms to take account of differences in the risk characteristics of the populations being studied. Methods & Results: Using individual-participant data on 360737 participants without CVD at baseline in 86 prospective studies from 22 countries, we compared the Framingham risk score (FRS), Systematic COronary Risk Evaluation (SCORE), pooled cohort equations (PCE), and Reynolds risk score (RRS). We calculated measures of risk discrimination and calibration, and modelled clinical implications of initiating statin therapy in people judged to be at ‘high’ 10 year CVD risk. Original risk algorithms were recalibrated using the risk factor profile and CVD incidence of target populations. The four algorithms had similar risk discrimination. Before recalibration, FRS, SCORE, and PCE overpredicted CVD risk on average by 10%, 52%, and 41%, respectively, whereas RRS under-predicted by 10%. Original versions of algorithms classified 29–39% of individuals aged \u3e_40years as high risk. By contrast, recalibration reduced this proportion to 22–24% for every algorithm. We estimated that to prevent one CVD event, it would be necessary to initiate statin therapy in 44–51 such individuals using original algorithms, in contrast to 37–39 individuals with recalibrated algorithms. Conclusions: Before recalibration, the clinical performance of four widely used CVD risk algorithms varied substantially. By contrast, simple recalibration nearly equalized their performance and improved modelled targeting of preventive action to clinical need