Boutique Staffing Firm Internship: How AI is Changing the Staffing Industry

This paper explores my experience as an Accounting, Finance, and Recruiting Intern for a boutique staffing firm in Memphis, Tennessee during the summer and winter of 2022 and my research on the current uses and future implications of artificial intelligence in the staffing industry. Specifically, it delves into my goals for the internship, my weekly tasks during the internship, and my observations of the internship. Based on my use of artificial intelligence for email marketing during the winter portion of the internship, I research the current uses of AI in the hiring process and the potential uses for the future. The main technologies that I shed light on are Applicant Tracking Systems (ATS), conversational AI (ChatGPT), and text-to-image AI (Midjourney and Dall-E 2). I use my findings in my experiences in the internship and in my research of artificial intelligence to conclude that the continuous improvements in AI will lead to the loss of an abundance of white collar jobs, especially in the staffing industry. By examining the main technologies used in the staffing industry, this paper provides insights into how AI will continue to transform the hiring process in the future

Boutique Staffing Firm Internship: How AI is Changing the Staffing Industry

This paper explores my experience as an Accounting, Finance, and Recruiting Intern for a boutique staffing firm in Memphis, Tennessee during the summer and winter of 2022 and my research on the current uses and future implications of artificial intelligence in the staffing industry. Specifically, it delves into my goals for the internship, my weekly tasks during the internship, and my observations of the internship. Based on my use of artificial intelligence for email marketing during the winter portion of the internship, I research the current uses of AI in the hiring process and the potential uses for the future. The main technologies that I shed light on are Applicant Tracking Systems (ATS), conversational AI (ChatGPT), and text-to-image AI (Midjourney and Dall-E 2). I use my findings in my experiences in the internship and in my research of artificial intelligence to conclude that the continuous improvements in AI will lead to the loss of an abundance of white collar jobs, especially in the staffing industry. By examining the main technologies used in the staffing industry, this paper provides insights into how AI will continue to transform the hiring process in the future

Discrimination in Modern Labor Markets: A Field Experiment

With the growing prominence of big data and algorithms in the hiring process, it seems only apt to systematically identify the effect that these changes are having on labor markets. In this paper, I seek to take the first step in filling this void by systematically analyze the effect of big data and algorithms on discrimination in the hiring process. I conduct a correspondence study adapted to the new job application process to see how big data and algorithms are affecting discrimination in the hiring process

Execution Batch Monitor for Processing Student Jobs

This study deals with the investigation and implementation of a method of reducing operating system overhead for the short-running student jobs at Oklahoma State University. The method chosen is that of an execution batch monitor which eliminates much of the job overhead in processing these student jobs. Sound operating system principles and techniques are studied and incorporated into the monitor, as it assumes some of the operating system functions for the jobs which it processes.Computing and Information Science

Getting rid of stochasticity: applicable sometimes

We consider the single-machine scheduling problem of minimizing the number of late jobs. This problem is well-studied and well-understood in case of deterministic processing times. We consider the problem with stochastic processing times, and we show that for a number of probability distributions the problem can be reformulated as a deterministic problem (and solved by the corresponding algorithm) when we use the concept of minimum success probabilities, which is, that we require that the probability that a job complete on time is `big enough\u27. We further show that we can extend our approach to the case of machines with stochastic output

Priority-enabled Scheduling for Resizable Parallel Applications

In this paper, we illustrate the impact of dynamic resizability on parallel scheduling. Our ReSHAPE framework includes an application scheduler that supports dynamic resizing of parallel applications. We propose and evaluate new scheduling policies made possible by our ReSHAPE framework. The framework also provides a platform to experiment with more interesting and sophisticated scheduling policies and scenarios for resizable parallel applications. The proposed policies support scheduling of parallel applications with and without user assigned priorities. Experimental results show that these scheduling policies significantly improve individual application turn around time as well as overall cluster utilization

La contratación a través de ETT factores que justifican el descenso de sus contrataciones tras la reforma laboral Real Decreto-ley 32/2021.

Según datos publicados por el Ministerio de Trabajo, con la entrada en vigor de la reforma laboral 32/2021, de 28 de diciembre y la eliminación del contrato temporal por obra y servicio se detecta una reducción en la contratación de trabajadores a través de la empresa de trabajo temporal. En este artículo, además, estudiamos otros factores que pueden influir en el descenso de la contratación

Influence of occupants’ behavior on indoor CO2 concentration of a naturally ventilated multifamily building in Porto, Portugal

Adequate supply of fresh air is essential to provide a healthy, safe and comfortable indoor environment in buildings. Currently, the majority of the residential buildings in mild climate European countries, such as Portugal or Spain, remain naturally ventilated. This fact has raised concerns in the building sector regarding the indoor air quality present in these buildings as fresh air supply mostly relies on occupants? window opening behavior and personal habits, which can vary significantly from one apartment to the next. In this context, this work presents the indoor CO2 concentration levels registered during more than one year in the bedrooms and living rooms of eight apartments of a naturally ventilated residential building located in Porto, Portugal. Monitored CO2 concentrations confirmed relevant periods of time with inadequate indoor air quality, exhibiting great variations between apartments. Differential occupants? window opening behavior, personal habits as well as presence of internal CO2 sources (e.g. smokers) were stated as the major reasons behind these wide discrepancies. Results suggest that, in some situations, implementation of mechanical ventilation systems in residential contexts should be promoted in order to guarantee adequate IAQ at all times and regardless of outdoor weather conditions or occupants? window opening behavior. info:eu-repo/semantics/publishedVersio