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A picture worth a thousand words: how career website images influence application intentions
Get PDFOrganizations are motivated to persuade qualified applicants to apply for open positions so they can identify and select higher-quality candidates (Phillips & Gully, 2015). As organizations realize the value of a diverse workforce, they have deployed recruitment strategies to attract underrepresented applicants (Greenberg, 2015). Studies conducted in 2003 and 2006 by Avery and McKay suggested that targeted recruitment advertisements positioning non-White employees as recognized and included in the organization increased non-White job seeker attraction to the organization. It has not yet been examined if this same effect extends to White members of other marginalized groups - specifically White and non-White members of the LGBTQ+ community (Avery & McKay, 2006; Walker et al., 2011). This study will examine the effects that images on a company’s “Careers Page\u27\u27 web page have on the application intentions of applicants of different race/ethnic and LGBTQ+ identities. We will test four hypotheses with this study: Hypothesis One (H1): Images portraying a racially and ethnically diverse workforce will positively affect application intentions of non-White applicants Hypothesis Two (H2): Images portraying a LGBTQ+ symbolism will positively affect application intentions of LGBTQ+ applicants. Hypothesis Three (H3): Images representing one marginalized group will have positive, but slightly smaller effects on the application intentions of other marginalized groups. Hypothesis Four (H4): Application intentions of White applicants will remain unaffected by images portraying a racially and ethnically diverse workforce. These hypotheses will be tested in a 2x2x2 quasi-experiment, where we will measure the application intentions between groups of non-White job applicants and White job applicants. The application intentions of those who identify as LGBTQ+, or not, will also be examined. Study participants will be be presented with one of four different images on a mock web page: an image portraying no racial or ethnic diversity, an image portraying no racial or ethnic diversity with LGBTQ+ symbolism, an image portraying a racially and ethnically diverse workforce, or an image portraying a racially and ethnically diverse workforce with LGBTQ+ symbolism. Participation will be solicited from students completing their undergraduate degree at universities or community colleges. Findings from this study will quantify the effect elements of website images supporting diversity and inclusion have on different applicants’ application intentions. We will be able to better understand if the perception of any marginalized identity in the workforce, whether or not it is the applicant’s identity, increases the perception that one would be welcomed and included there
Impact of COVID 19 on Higher Learning Community
Get PDFThe societal upheaval related to the COVID-19 pandemic was far-reaching and continues to impact individuals in both personal and professional ways. Attempts to mitigate the spread of COVID-19 included quarantining at home and temporarily closing schools, businesses, and other public spaces. As these disruptions of everyday life eased and restrictions were lifted, individuals and organizations alike are reflecting on the impact of the COVID-19 pandemic. The pandemic continues to have differential effects across industry types. Higher education institutions (HEIs) are a particularly unique example as they serve as both an organization navigating employee needs as well as providing learning services and support to students who may also be working outside of classes. This study aimed to investigate the unique impact of the pandemic on employee and student experiences within a HEI. As part of a larger study, the current researchers sought to understand how higher education professionals (faculty and staff) and employed students navigated work during and since the peak of the pandemic. To measure the employment impact of COVID-19, a survey consisting of 43 items from established scales measuring work-family conflict (WFC and FWC), job demands, job autonomy, job stress, job insecurity, perceived supervisor and organizational support (PSS, POS), work engagement, and job satisfaction was administered to university employed staff (n = 133), university faculty (n = 118), and off-campus employed students (n = 379). ANOVAs with Welch homogeneity corrections were conducted to account for unequal variances between samples. Results revealed significant differences among students, faculty, and staff in their experiences of WFC, FWC, job demands, job autonomy, job stress, and work engagement. Students reported the highest levels of conflict and stress, and the lowest levels of autonomy and job satisfaction. Faculty and staff exhibited higher work engagement and job satisfaction despite experiencing high job demands, perhaps in part related to their higher reported levels of job autonomy and supervisor support. These findings underscore the urgency for targeted interventions to alleviate identified challenges. University-based support measures are recommended to help manage ongoing competing demands and work-related stress. These resources should be customized to meet the specific needs of each group and go beyond generalized campus counseling services and EAPs, towards a culture that demonstrates that the health and wellbeing of the campus community is valued. The data offer a comprehensive understanding of the complex impact of the COVID-19 pandemic on different employment groups within higher education, thereby extending the current literature
The intersection of AI and employment
Get PDFArtificial Intelligence (AI) is rapidly transforming every industry. This session will focus on the practical applications of AI within employment hiring and succession strategies, enabling organizations to automate processes, improve efficiency, and uncover data-driven insights for enhanced decision making. We will discuss advancements using AI in the recruitment process, including the use of machine learning algorithms to screen resumes and identify successful candidates. The talk will highlight the regulatory environment and the intersection of the IO and AI fields within this rapidly evolving landscape. Additionally, the presentation will explore where AI is being used to improve organizational retention and performance. We will discuss the use of technology to identify skills and capabilities gaps across the workforce to better inform employee development and future hiring strategies. Speaker bio: Sachit is Chief Product Officer at Eightfold.ai, a leader in AI solutions aimed at employment. Eightfold’s AI solutions are being utilized by some of the largest corporations globally. Sachit has spent significant time during his career at mission-driven companies like Uber and LinkedIn that have transformed industries using technology and AI. He holds an MBA from INSEAD, an MS in Computer Science from University of Texas at Arlington and a Bachelor of Engineering degree from VJTI, Mumbai
Developing a new interatomic potential and atomistic study of NiTiHf
Get PDFWith the growing demand for high-temperature shape memory alloys (HTSMAs), NiTi-based HTSMAs have gained more attention for implementation in applications at elevated temperatures. Among NiTi-based alloys, NiTiHf has shown to have great potential, by having high transformation temperatures, lower preparation cost and good thermal stability. However, until today, most studies conducted on NiTiHf have focused on a limited range of compositions due to the difficulties and high cost of the experimental studies. Therefore, there exists a lack of comprehensive research on the thermo-mechanical behavior of these HTSMAs. Computational simulations are a very cost-effective and feasible approach for addressing this shortcoming. Among computational methods, molecular dynamics (MD) simulation as an atomistic method offers comprehensive means to explore microstructural phenomena that govern the behavior of material. An essential requirement for performing MD simulations is interatomic potential which serves as the constitutive equations of MD and determine the forces and interactions between atoms. Since no applicable interatomic potential has been developed for NiTiHf, there has not been any progress in MD studies on NiTiHf alloys. Therefore, in this study, a Second Nearest-Neighbor Modified Embedded Atom Method (2NN MEAM) interatomic potential has been developed to accurately represent the NiTiHf ternary system. Initially, the parameters of constituent unary and binary potentials were calibrated by fitting their reproduced results of physical properties to DFT results. Then, the final ternary MEAM potential was checked for reliability and transferability by performing MD simulations. The results showed that the developed potential can accurately capture temperature-induced and stress-induced martensitic phase transformation in NiTiHf. In addition, the lattice parameters and formation energy of different compositions of NiTiHf were obtained and compared with experimental and DFT (Density Functional Theory) results showing a good agreement. Furthermore, using the developed MEAM potential, MD simulations were conducted to analyze the influence of precipitates on the superelasticity and shape memory effect of NiTiHf alloy. The results showed that in the presence of H-phase precipitates, the transformation temperatures increase. In addition, the thermal cycling of NiTiHf under constant stress was simulated and it was found that reducing the temperature rate results in a narrower thermal hysteresis
Examining the quality of gender measurements in criminological and criminal justice research: pervasive apathy or bad research methods?
Get PDFCriminology has often been criticized for its lack of gender inclusivity and ‘androcentrism,’ particularly by feminist and queer criminologists who note that the field rarely uses separate measures of gender and sex assigned at birth or ones that extend beyond the binary, severely limiting the applicability of evidence-based, gender-responsive services in the criminal justice system. Other fields have adopted measures of gender that capture multiple identities and acknowledge the complexity of gender. However, it is unclear whether criminology has heeded these calls for inclusivity. Using a gender theory perspective, the current study analyzed 566 articles published between 2011 and 2020 from four criminological and criminal justice (CCJ) journals to explore the published studies’ gender operationalizations. Findings indicate that quality gender measurements are lacking, gender and sex assigned at birth are often conflated, and author and publication type are significant with regards to the inclusion of quality gender measurements
Fighting AIDS with no help: radical solidarity and how community organizations overcame a neglectful federal government
Get PDFCommunity organizations have forever shaped the history of the United States. As de Tocqueville noted in a visit to the US in the 19th century, volunteerism and forming associations is a way of life ingrained in American society. The way that these community organizations operate in relation to government action is incredibly important to understanding democratic processes in the US, and one such period that is of note is the AIDS crisis of the 1980s. During this time, the government was infamously silent and neglectful on themes surrounding the epidemic, and this inaction greatly informs how community organizations operated during the crisis. My research focuses on this time period and the relationship between the failures of government and the operations of community organizations. This relationship is further cemented through an analysis of the government’s inactions and the determination that those inactions were, at least in part, perceived as intentional. This intentionality fundamentally shifts the possible goals and intentions of community organizations that arise to fill that gap created by government inactions, specifically in the types of aid that are productive and helpful. I find that the intentionality of government failure creates space for a symbolic, solidarity-based type of volunteerism to be helpful in ways that, in other situations, might be minimally helpful. This radical solidarity was present in numerous organizations during the AIDS crisis, specifically in the Gay Men’s Health Crisis of New York City
The Individual Differences of Adopters of Technology in a Challenging Labor Market
Get PDFDigital technology can attract talent that aligns with an organization’s goals by displaying to potential hires that the organization values innovation and growth. Despite this fact, these technologies have proven difficult to implement because they are not always accepted or adopted. Businesses often have a difficult time implementing a new digital technology because of a lack of acceptance from its employees, and a lack of adoption from instructors can cause educational settings to lack the proper technological education, which may discourage potential teachers from working in those settings. Because of the importance and potential usefulness of digital technology, it is important for organizations to understand what factors affect someone’s likelihood of adopting and using a technology. One way in which research has examined the acceptance of technology is through individual differences (IDs) in the groups that the technology is targeting. The current poster comes from a literature review examining studies researching IDs’ influence on the acceptance of technology. Some of the IDs frequently examined in the research include personality traits, gender, social influence, socio-economic status, self-efficacy, trust, personality, and experience. Different circumstances will also affect how these IDs influence the acceptance of a technology. Banking applications, for example, rely on trust from the consumers using them, while educational institutions often need their teachers to have self-efficacy with using technology to effectively implement it. While IDs may affect acceptance differently in different circumstances, the findings from the literature review did allow for the creation of acceptance and adoption model by considering these various IDs. The results of this review can help businesses understand how to implement technologies to signal to potential hires that they value innovation and growth. When effectively integrated, this technology can attract tech-savvy candidates by displaying the organization’s ability to create a modern work environment. When a business is successfully able to demonstrate a commitment to leveraging new technology for the success of the organization, this can attract talent that aligns with the organization’s goals
Assessing Data Analytics Readiness as a first step to Predict Incident Probability: A replication
Get PDFOrganizations have been able to make decisions that increase success and solve practical problems using data analytics and evidence-based management (Barends et. al, 2014). Analysis of injury-related data can reveal environmental workplace weaknesses and safety policy areas for improvement (Illinois Department of Public Health, 2023; Centers for Disease Control and Prevention [CDC], 2015). However, proper variable development, harmonized measurement and data collection are a critical first step to determine the depth of analyses available for analytics. The data analytics readiness tool (DART) was developed to assist organizations in better understanding their current measurement capabilities, so that more advanced analytic techniques can be utilized to maximize organizational safety (Ezerins et al., 2022). Hinson et al., (2021) made use of similar data inventories and data analytic strategies, therefore, our study aims to replicate and build upon these methodologies. We are currently implementing the DART system within a large oil refinery in the southern United States to assess the potential predictive validity between variables of interest and incident probabilities. The DART will be used to sort variables into three broad categories as follows: Culture, prevention, and production. Culture is a measure of the organization\u27s safety culture, prevention includes behaviors and tasks intended to reduce injuries (safety audits, inspections, hazard identifications, and safety observations), and production includes total hours worked, number of employees on site, amount of output, and even day of the week. The results of the DART will provide a roadmap for a) what data to retrieve that has high enough quality for initial analysis, leading to b) initial hypotheses, data cleaning and analysis, and c) direction for improvements to improve the quality of other variables of interest. Usage of the DART allows data to be obtained, organized and aggregated in a timely manner. Additionally, this tool can help identify the required variables to strengthen the analysis. This is especially critical, as it can also highlight variables that organizations may not be collecting information on to assess what may be causing the outcome. Through use of the DART in this proposed study, future data analyses can be completed successfully as certain criteria must have been met to ensure that there is adequate coverage of variables in order to predict the validity between the aforementioned variables of interest and incident probabilities (Compagnone & Ludwig)
Adoption and Foster Microaggressions Amidst COVID-19: Pandemic-related Stress May Increase Negative Judgments of Others
Get PDFOne community that has often been overlooked while facing frequent negative perceptions and stigma is adopted individuals. Prior to the COVID-19 pandemic at the start of this research, we hypothesized that scenarios of individuals from foster and adoptive families would be more likely to be associated with common misrepresentations that emphasize child-like qualities and lower competency compared to non-adopted peers. We surveyed 313 participants through Amazon’s Mechanical Turk, after exclusion criteria, the sample consisted of 217 participants. Although the original hypothesis was not supported, our results indicate that higher pandemic-related stress influences perceptions of entitlement and infantilization towards others regardless of their adoption status. This study provides further insight into how times of emotional distress, such as the COVID-19 pandemic, may increase negative judgments of others
Dataset: plays or e-plays? Informing a theatre collection strategy using student input
Get PDFThis is a dataset from a survey given to UTC Theatre students in fall 2023 regarding their preferences for formats of plays. IRB##22-087