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College of Business E-Journal
Spring 2019 Volume XIV, Issue I
ISSN number 2158-303X
I. Exports of U.S. Oil and Natural Gas are Rapidly Increasing
This paper focuses on important policy issues related to oil and gas exports, and evaluates the potential effect of recent policy changes in federal law. The changes have the potential to help reverse the U.S. balance of trade deficit at the heart of the current debate on global trade. As a corollary, increased energy exports would also benefit state and local economies in energy producing and exporting states such as Texas and Louisiana.
Keywords: Energy, oil and gas, imports/exports, trade policy
Kurt Stanberry, MBA, JD. Professor
Petroleum Land Management Endowed Professor
Marilyn Davies College of Business
University of Houston-Downtown
Forest Aven, PhD.
Dean of the HEB School of Business
University of the Incarnate Word in San Antonio
II. COMPETENCES DESIRED BY EMPLOYERS OF HUMAN RESOURCES MANAGEMENT IN LOUISIANA: IMPLICATIONS FOR IMPROVING ELECTRONIC RESUMES FOR JOB SEEKERS
A resume is a medium that summarizes job seekers’ competences, and it is the first item that captures an employers’ attention. Since most employers are using employment-related online search engines, to be matched with qualified applicants, resumes should contain keywords that are related to job descriptions. I analyzed descriptions of 1,059 human resources jobs advertised on indeed.com by employers located in Alexandria, Baton Rouge, Lafayette, Monroe, New Orleans, and Shreveport-the main metropolitan cities in Louisiana. I used different data exploratory and visualization techniques to summarize the data and then applied latent semantic analysis (LSA) to extract vocabularies that employers use to highlight the required competencies of a prospective employee. Application of Microsoft Office tools and experience in working in a business-oriented environment were respectively important hard and soft skills wanted by most employers. Resumes that highlight these skills are likely to be matched with advertised jobs and therefore increases the likelihood for job interviews.
Keywords: job descriptions, resume, human resources, latent semantic analysis, text mining.
2018 graduate of the College of Business
Southern University and A&M College
III. S.T.A.R. Performance: A Quantitative Exploration of Behavioral Responses
in Simulated Selection Interviews
Prospective employers primarily utilize the traditional job interview format to screen and hire new employees (Kwon, Powell, & Chalmers, 2013; Posthuma, Moregeson, & Campion, 2002; Young & Kacmar, 1998). Thus, the employment interview has been the focus of extensive research. Topics have included the predictive value of the interview process (McCarthy & Goffin, 2004), the influence of social media on the candidate selection process (Jennings, Blount & Weatherly, 2014; Roth, Bobko, Van Iddekinge, & Thatcher, 2016), and candidates’ attempts to sway recruiters by implementing impression management tactics and recruiters’ interpretation of those efforts (Roulin, Bangerter, & Levashina, 2014). Other studies have examined the questions posed by recruiters, generally categorized as behavioral—actions that candidates have taken in the past—and situational—actions that the candidate would likely take in the future. Job applicants are encouraged to encode their responses in formats that recruiters can easily decode.
Studies that report how candidates respond to behavioral and situational interview questions have been more theoretical than applied. Although such investigations contribute to the body of knowledge, they may be difficult for the layperson to decode. In simple terms, will John Public or Jane Doe have a comprehensive understanding of how their responses are interpreted by recruiters? The purpose of this article is to provide insight into candidate interview responses.
Dr. Lori Boyer, Dr. Jamie Pleasant and Dr. Donald Vest
Clark Atlanta University