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    Improving Quality of Job Application Pre-Processing with Knowledge Graphs

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    Human Resources (HR) personnel face challenges when preprocessing or evaluating job applications. The main goal of job application preprocessing is to filter through many resumes in order to produce a short list of the most qualified candidates to hire. The lack of domain expertise in high-tech recruiting has led to poorly qualified prospective employees advancing to the short list of candidates considered for hire. The challenge in evaluating prospective employees is made worst given the variety of professional and laymen terms used by job-providers/companies and job-seekers/prospective employees. Job description created by companies and resumes created by prospective employees both use a combination of professional and laymen terms to describes job requirements and job qualification. It is acceptable for one company to use different terms than another to describe a Cloud Software Developer’s position. Similarly, a prospective employee can use different terms than another perspective employee in describing qualifications for a Cloud Software Developer’s position. Ontology is often used to define vocabulary and terms in an application domain. However, the most popular ontology tools in used today are limited in supporting only the single “is-a” relationship which prevent them from describing rich relationship needed to capture terms used during job application evaluation or preprocessing. To fill this gap, Pace Universities Knowledge Graph (KGs) and manual methods of producing KGs extend ontology to support customized relationship like “part of” to better support relationships among various concepts that may be used by professional and laymen in job descriptions or resumes. This research proposes to use KGs to identify custom relationship so that important keywords could be used in a Python Analyzer (PA) Application Tracking System (ATS) that was developed for matching keywords in job descriptions to keywords in resumes. The PA ATS use KG keywords from a text file to compare against job description keywords to produce a subset of keywords for further matching between the job description and a batch of resumes for the job. For each resume, HR personnel are able to see match percentage before and after filters for keyword and keywords with synonyms were applied. This research experiments showed a 10% average improvement in job match accuracy using the PA ATS. Improved matches enhance job application preprocessing. Contribution in this research can also be applied to similar problems that need a PA ATS tool to bridge terminologies in different communities

    Do Your Facebook “Friends” Make You Spend More Money? Exploring the Relationship Between Online Social Connectedness and Impulsive Buying

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    “Everyone is keeping up with the Joneses, and there are more Joneses than ever.” (Jerry Saltz)Billions of people, using smartphones and social networking sites like Facebook every day are connecting and comparing themselves and their purchases exponentially. Marketing practitioners and researchers are often interested in how and why this affects online consumer behaviors. Consumers may differ in their tendencies to compare themselves to others, an individual difference variable called social comparison orientation. Social comparison has been previously shown to be an important factor in consumer behavior supporting the idea that consumers often buy impulsively what others are buying. Arguably, marketers should focus less on connecting with customers, and more on connecting customers with other customers in an interconnected new world. This research has two primary purposes: 1) to examine the antecedents of online social connectedness, and 2) to examine the moderating role of social comparison orientation on the relationship between online social connectedness and online impulsive buying. The research model is tested using data (N=432) collected via the survey in Amazon Mechanical Turk. Analysis of the data, utilizing the Lavaan package in R, supported most of the predictions. The results indicate that social awareness, social presence, and social capital positively predict online social connectedness. The research also found that there is a direct positive relationship between online social connectedness and online impulsive buying. The author found evidence that the relationship between online social connectedness and impulsive buying may be moderated by social comparison orientation. This research extends previous findings by demonstrating that online social networks transform consumer buying habits and decision-making processes, especially on impulsive buying online. The implications of the findings are discussed and used to outline recommendations for digital and predictive marketing strategies for marketing practitioners. Further research ideas are offered towards a more comprehensive understanding of the impact of online social connectedness on consumers’ impulsive buying

    Application of the MACI Psychopathy Content Scale (P-16) in an Adolescent Inpatient Population: A Convergent Validity Study

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    This study examined the construct validity of the embedded Psychopathy-16 (P-16) scale of the Millon Adolescent Clinical Inventory (MACI; Millon, 1993) in an archival sample of 811 adolescent psychiatric inpatients. Comparison of the P-16 distribution with the Psychopathy Content Scale (PCS; Murrie & Cornell, 2000) indicated about 12.8 percent of the inpatient sample fell above the cut-off suggested by Murrie and Cornell (2002), suggesting that a cut-off of eight might produce an equivalent identification of 12.8 percent of adolescents in this group, indicating levels of psychopathy severe enough to warrant further assessment. Confirmatory and exploratory factor analysis indicated the presence of a three-factor solution, though the items were somewhat dissimilar from the three-factor model previously obtain. Concurrent validity exploration in one sample (N = 757) found that the P-16 scales and total score were significantly and moderately correlated with both the PAI-A Antisocial Scale and Aggressive Scale. However, correlations for the total P-16 score and all P-16 scales (callousness, egocentricity, antisocial behavior) were significantly more strongly correlated with PAI-A antisocial scores. Regression analysis with a subsample of adolescents (N = 79) who had also completed the adolescent version of the Firestone Assessment of Violent Thoughts (FAVT-A; Firestone & Firestone, 2008) revealed that although combinations of the P-16 scales predicted both Hostile Reactive and Instrumental Aggression, P-16 Callousness was the only significant independent predictor of FAVT-A Instrumental Aggression. Implications for assessment of psychopathic features in adolescent inpatients were discussed

    Cyber Security’s Influence on Modern Society

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    The world of cyber security is evolving every day, and cyber-criminals are trying to take advantage of it to gain as much money and power as possible. As the Internet continues to grow, more people around the world join the Internet. The purpose of this is to see how much of an importance cyber security has and how cyber-criminals are able to utilize the cyberworld for their own personal gain. Research has been done on how the cyberworld got where it is today. Additionally, individual research has been done in an effort to learn how to hack. A hack lab has been created and a study has been done to see if it is possible to hack into a cell phone within one month without obtaining any knowledge prior to the start of the study

    A Framework for a Standard Compliance Architecture

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    This paper is intended to persuade the academic community of the value of a standard user-friendly software framework to assist businesses to keep up with the rapid barrage of new regulatory compliance requirements. There is a clearly defined problem in today’s business world on the topic of how to manage regulatory compliance. Companies need a method to comply with regulations without amassing a mountain of new software programs, hiring additional staff, and avoiding the hefty mandated fines and overhead costs that are associated with regulations. This research paper substantiates the theory that it is possible for companies to use a framework to build a Standard Compliance Architecture (SCA) for monitoring compliance with regulations using a simple technology solution to ensure regulatory compliance. In this paper, we study several framework policy modeling and policy verification techniques, and we propose a corresponding basic taxonomy for the SCA

    A Student Primer on Intersectionality: Not Just A Buzzword

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    This book: ● lays out the objectives of WS 166, Gender, Race, and Class, taught in the Women’s and Gender Studies Department, Pace University, New York City campus; ● provides a structure for any course addressing intersectionality, feminism, and oppression; ● describes the framework of intersectionality, which examines societal issues by analyzing the interlocking systems of oppression that shape people’s lives; ● argues for a transnational application of intersectionality that also centers U.S. Black feminists’ contributions to understanding oppression; ● includes journal articles, TED Talks, and class exercises that are generally accessible for most students or interested readers without previous exposure to these topics. We designed this book to illustrate that intersectionality is a powerful tool for learning about and addressing injustice and inequity. When we analyze the world using an intersectionality framework, we learn about people’s lives and experiences in ways that we may never have considered, or wanted to consider. And the mere act of examining multiple systems of oppression is not enough, either, as the point of understanding oppression is to end it in all forms. As you read, be thankful for the discomfort, anger, and compassion that may arise; learning about oppression is never easy, but it is a worthwhile and meaningful task

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