Petition to protect ‘nurse’ job title

2021 ◽  
Vol 28 (4) ◽  
pp. 6-6
Keyword(s):  
2010 ◽  
Author(s):  
Günter Strobl ◽  
Edward Dickersin Van Wesep
Keyword(s):  

2016 ◽  
Vol 42 (9) ◽  
pp. 913-921 ◽  
Author(s):  
Adrien Bouchet ◽  
Michael Troilo ◽  
Brian R. Walkup

Purpose The purpose of this paper is to examine the extent to which dynamic pricing is utilized in North American professional sports. While industries such as airlines and travel services have employed dynamic pricing for decades, professional sports is only now starting to adopt it. Design/methodology/approach The authors survey and interview high ranking executives and managers in North American sports organizations. A total of 72 managers and executives from the four major North American professional sports leagues as well as other sport properties were surveyed. Descriptive statistics and a basic regression provide insight into perceptions v. actual practice among sports organizations. Findings While most sports organizations perceive high usage of dynamic pricing within their organization, current procedures lag. Nearly 70 percent of respondents believe that their organizations frequently or always apply business analytics to dynamic pricing, but only 30 percent update their prices daily. Fully 50 percent of organizations do not automate decision-making processes, which is a hallmark of dynamic pricing. The perception of constant use of analytics in dynamic pricing intensifies as job title increases. Originality/value As one of the initial surveys looking at the usage of dynamic pricing in North American professional sports, this study provides a glimpse into both the perception and the reality. It suggests that there is still ample room for improvement.


2018 ◽  
Vol 9 (2) ◽  
pp. 213-242 ◽  
Author(s):  
Rodoniki Athanasiadou ◽  
Adriana Bankston ◽  
McKenzie Carlisle ◽  
Caroline A. Niziolek ◽  
Gary S. McDowell

Purpose Postdocs make up a significant portion of the biomedical workforce. However, data about the postdoctoral position are generally scarce, and no systematic study of the landscape of individual postdoc salaries in the USA has previously been carried out. The purpose of this study was to assess actual salaries for postdocs using data gathered from US public institutions; determine how these salaries may vary with postdoc title, institutional funding and geographic region; and reflect on which institutional and federal policy measures may have the greatest impact on salaries nationally. Design/methodology/approach Freedom of Information Act Requests were submitted to US public universities or university systems containing campuses with at least 300 science, engineering and health postdocs, according to the 2015 National Science Foundation’s Survey of Graduate Students and Postdoctorates in Science and Engineering. Salaries and job titles of postdocs as of December 1, 2016, were requested. Findings Salaries and job titles for nearly 14,000 postdocs at 52 US institutions around December 1, 2016, were received. Individual postdoc names were also received for approximately 7,000 postdocs, and departmental affiliations were received for 4,000 postdocs. This exploratory study shows evidence of a postdoc gender pay gap, a significant influence of job title on postdoc salary and a complex relationship between salaries and the level of institutional National Institutes of Health/NSF funding. Originality/value These results provide insights into the ability of institutions to collate and report out annualized salary data on their postdocs, highlighting difficulties faced in tracking and reporting data on this population by institutional administration. Ultimately, these types of efforts, aimed at increasing transparency regarding the postdoctoral position, may lead to improved support for postdocs at all US institutions and allow greater agency for postdocs making decisions based on financial concerns.


2016 ◽  
Vol 30 (25) ◽  
pp. 32-32
Author(s):  
Trish Morris-Thompson
Keyword(s):  

2020 ◽  
Vol 20 (1) ◽  
pp. 54
Author(s):  
Rami Saadeh ◽  
Khaled Khairallah ◽  
Hussein Abozeid ◽  
Lama Al Rashdan ◽  
Mahmoud Alfaqih ◽  
...  

Objectives: This study aimed to examine the proportion of needle stick and sharp injuries (NSSIs) among healthcare workers at King Hussein Medical Center (KHMC), Amman, Jordan. Methods: All NSSI reports referred from departments at KHMC to the Preventive Medicine Department between 2013–2018 were retrospectively reviewed. Proportion of NSSIs were calculated and stratified according to age, gender, job title, place and site of injury and the procedure/task during which the injury occurred. Results: There were a total of 393 NSSIs. A significant association was found between the proportion of NSSIs and all tested variables (P <0.001). The reported proportion of NSSIs was highest among nurses (39.7%) followed by cleaners (36.3%), physicians (10.4%), other workers (7.4%) and lab technicians (5.9%) during the study’s six-year period. Hospital wards were the most common locations (46.1%) where injuries took place. Injuries also occurred most frequently during medical waste collection (38.2%). Conclusion: The proportion of NSSIs was highest among nurses and cleaners. Safety policies and training among high-risk groups should be reviewed to reduce the risk of NSSIs. Multicentre studies at a national level should be conducted to examine whether this study’s findings reflect national trends.Keywords: Needlestick Injuries; Safety; Self Report; Nurses; Accident Prevention; Jordan.


2016 ◽  
Vol 3 (1) ◽  
pp. 64
Author(s):  
Xiaojuan Zhu ◽  
Rapinder Sawhney ◽  
Girish Upreti

employee voluntary turnover factors using logistic regression and forecasts employee tenure using a decision tree for four research and development departments in a large U.S organization. Company job title, gender, ethnicity, age and years of service significantly affect employee voluntary turnover behavior determined by logistic regression. The findings assist managers and human resource departments in specific employee retention strategies to reduce R&D departments’ voluntary turnover rate. The decision tree method built a five-level depth tree model with 17 nodes. This model has the lowest AIC value and the best performance in the validation dataset. Age at hire, jobtitle, division, and race are statistically significant factors to predict employee tenure. The most important variable is age at hire located in the decision tree’s first, third, and fourth nodes. Classification rules assist managers and human resource departments in quickly predicting employee tenure and in making hiring decisions.


Author(s):  
Eoin Woods ◽  
Nick Rozanski

The architect takes a high-profile role in many IT departments today. In fact, it can be quite difficult in some organizations to find a senior member of IT technical staff whose job title does not include the word “architect.” However there is little consensus in the academic community or amongst practitioners as to the responsibilities of the many different types of architect we encounter – or indeed, what they should even be called. In this chapter, the authors propose a simple, widely applicable taxonomy of architects, namely enterprise architects, application architects, and infrastructure architects. The authors define distinguishing characteristics, their responsibilities, the stakeholders with whom they engage, and the tools and techniques they use. The chapter shows how this taxonomy can be applied to most, if not all, practicing architects in the information systems domain, and explains how it helps us understand how such architects work together to help deliver the organization’s business goals.


Author(s):  
Mats Alvesson

Having addressed the three broad subject matters in Chapters 2–9—consumption, higher education, and working life/organizations—it is now time to connect these themes, to formulate additional ideas, insights, and results based on synthesis as well as summaries and conclusions. This will be done here and in the final chapter. Below I address further the significance of expectations and desire. The title of Kovel’s (1981) by now somewhat dated book, The Age of Desire, is probably much more appropriate today than 30 years ago. Recession and financial crises in some countries can temporarily attenuate the rampage of desire for some groups—with reduction in the material standard of living, concerns other than desire may require attention—but this does not disturb the overall picture of the dominant inclinations in post-affluent society. I start the chapter by addressing post-affluence and, in particular, how expectations of the good consumption and working life are gradually raised so that reality, when salient, may be a source of frustration and disappointment more often than delivering what it should. People in ads are always happier and more beautiful than the consumers trying to imitate them. The institution recruiting students seldom undersells the quality of its teaching, or the employment that may follow for graduates. The job title increasingly promises something better than the actual job tasks. Having pointed at the misfortunes of reality—or ‘shit happens’—I then make some specific links between education, work, and consumption, before moving quickly over to how statistics often support competitions in showing the right numbers to make things appear to be good, sometimes at the expense of the quality of the phenomena the numbers are supposed to say something about. I also address how the understanding of grandiosity and illusion tricks can be further developed through the use of Kundera’s concept imagology. Here, in particular, I draw upon Kundera’s claim that people occupied by imagology constitute a broad, diverse, but rapidly expanding set of occupations leading the road to grandiosity.


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