Are Socially Responsible Behaviors Paid Off Equally? A Cross‐cultural Analysis

Based on the strong influence that national culture has on corporate social and responsibility (CSR) actions (institutional theory), it is necessary to study how the financial outcomes of CSR actions could be affected by these cultural characteristics. This fact is particularly interesting for managers whose companies operate in different cultures given that they have to deal with this aspect. The aim of this paper is to analyze the moderator role that national culture could have on the CSR and firm performance (CSR‐FP) relationship through a meta‐analysis, hence helping to clarify the debate existing about this relationship in the literature. The results show that this relationship is greatly affected by national culture. In this sense, countries with a high assertiveness and gender egalitarianism show a very negative relationship. Nevertheless, those with a higher future orientation, institutional collectivism, and a humane orientation reveal a positive correlation which reaches its maximum value in those countries with a high uncertainty avoidance

The question of equity: Who has access to US quantum information education programs?

Driven in large part by the National Quantum Initiative Act of 2018, quantum information science (QIS) coursework and degree programs are rapidly spreading across US institutions. Yet prior work suggests that access to quantum workforce education is inequitably distributed, disproportionately benefiting students at large research-focused institutions whose student bodies are unrepresentative of US higher education as a whole. We use regression analysis to analyze the distribution of QIS coursework across 456 institutions of higher learning as of fall 2022, identifying statistically significant disparities across institutions in particular along the axes of institution classification, funding, and geographic distribution. We also conduct a brief analysis of the distribution of emerging dedicated QIS degree programs. We conclude with a discussion of implications for educators, policymakers, and quantum workforce development initiatives.Comment: To be submitted to Quantum Science and Technology, focus issue on Perspectives on Societal Aspects and Impacts of Quantum Technologie

Human experience in the natural and built environment : implications for research policy and practice

22nd IAPS conference. Edited book of abstracts. 427 pp. University of Strathclyde, Sheffield and West of Scotland Publication. ISBN: 978-0-94-764988-3

An Equity-minded Assessment of Belonging among Computing Students at Cal Poly

Creating a Computer Science and Software Engineering Department that supports students with diverse identities and backgrounds is essential to creating a computing workforce that reflects the world at large. Inspired by the work of Metcalf et al.\u27s survey conducted at the University of Illinois, we use the same methods to examine the state of our computing department with respect to issues of inclusive climate and student sense of belonging, which have been shown to be important for retention in STEM fields. We use the four areas that contribute to belonging based on the work of Rainey et al. along with a fifth category of learning environment in order to assess our students\u27 sense of belonging. This paper\u27s main focus is based on results from two surveys of Cal Poly Students conducted exactly one year apart (2019: n=154, 2020: n=122). Both surveys were sent to all computing majors in Spring quarter, the last quarter of the regular academic year. We found that 58-68\% of students felt they were not typical computer scientists, which mirrors the results of the survey conducted at the University of Illinois, indicating that the lack of belonging is perhaps a ubiquitous problem within the field of computing. Other salient results include identifying the presence of statistically significant differences for some groups based on gender and race & ethnicity. These differences were found when looking at students\u27 senses of their science identity and learning environment. We also found that women had a significantly greater chance of having strong interpersonal relationships within computing. The survey results are augmented by a survey of first-quarter freshmen in Fall 2019 (n=44) and student interviews conducted in Spring 2021 (n=15). We hope that the addition of these results explain and expand upon our main results and add insight as to how the student experience can evolve from a student\u27s first quarter onward. These differences shine an important light on some positive trends as well as several concerning differences to be examined in our quest to create a diverse and equitable department

A longitudinal analysis of pathways to computing careers: Defining broadening participation in computing (BPC) success with a rearview lens

Efforts to increase the participation of groups historically underrepresented in computing studies, and in the computing workforce, are well documented. It is a national effort with funding from a variety of sources being allocated to research in broadening participation in computing (BPC). Many of the BPC efforts are funded by the National Science Foundation (NSF) but as existing literature shows, the growth in representation of traditionally underrepresented minorities and women is not commensurate to the efforts and resources that have been directed toward this aim. Instead of attempting to tackle the barriers to increasing representation, this dissertation research tackles the underrepresentation problem by identifying what has worked (leveraging existing real-world data) to increase representation. This work studies the educational pathways of persons who have successfully transitioned into the computing workforce and identifies the common roadmaps that have contributed to retention, persistence, and success in attaining computing employment. Descriptive statistics, Logistic regression, Classification algorithms, Clustering, and Predictive analytics were employed, using the Stata statistical tool and Orange Data Mining tool on real-world data, to identify educational pathways that have resulted in successful employment outcomes for women and blacks in computing. The results of this analysis have highlighted key information that is capable of informing future “Broadening Participation in Computing” (BPC) efforts. This is because the information will enable researchers and decision makers to have a clearer picture of what educational choices have resulted in favorable outcomes for underrepresented minorities and women in computing; and consequently, researchers and decision makers would be able to more accurately target their BPC efforts to achieve optimal results. This knowledge can also be applied in career advising for young students who are trying to chart their path into computing, providing insight into alternative pathways

Keeping Data Science Broad: Negotiating the Digital and Data Divide Among Higher Education Institutions

The goal of the “Keeping Data Science Broad” series of webinars and workshops was to garner community input into pathways for keeping data science education broadly inclusive across sectors, institutions, and populations. Input was collected from data science programs across the nation, either traditional or alternative, and from a range of institution types including community colleges, minority-led and minority-serving institutions, liberal arts colleges, tribal colleges, universities, and industry partners. The series consisted of two webinars (August 2017 and September 2017) leading up to a workshop (November 2017) exploring the future of data science education and workforce at institutions of higher learning that are primarily teaching-focused. A third follow-up webinar was held after the workshop (January 2018) to report on outcomes and next steps. Program committee members were chosen to represent a broad spectrum of communities with a diversity of geography (West, Northeast, Midwest, and South), discipline (Computer Science, Math, Statistics, and Domains), as well as institution type (Historically Black Colleges and Universities (HBCU’s), Hispanic-Serving Institutions (HSI’s), other Minority-Serving Institutions (MSI\u27s), Community College\u27s (CC’s), 4-year colleges, Tribal Colleges, R1 Universities, Government and Industry Partners)

Keeping Data Science Broad: Negotiating the Digital and Data Divide Among Higher Education Institutions

The goal of the “Keeping Data Science Broad” series of webinars and workshops was to garner community input into pathways for keeping data science education broadly inclusive across sectors, institutions, and populations. Input was collected from data science programs across the nation, either traditional or alternative, and from a range of institution types including community colleges, minority-led and minority-serving institutions, liberal arts colleges, tribal colleges, universities, and industry partners. The series consisted of two webinars (August 2017 and September 2017) leading up to a workshop (November 2017) exploring the future of data science education and workforce at institutions of higher learning that are primarily teaching-focused. A third follow-up webinar was held after the workshop (January 2018) to report on outcomes and next steps. Program committee members were chosen to represent a broad spectrum of communities with a diversity of geography (West, Northeast, Midwest, and South), discipline (Computer Science, Math, Statistics, and Domains), as well as institution type (Historically Black Colleges and Universities (HBCU’s), Hispanic-Serving Institutions (HSI’s), other Minority-Serving Institutions (MSI\u27s), Community College\u27s (CC’s), 4-year colleges, Tribal Colleges, R1 Universities, Government and Industry Partners)