Measuring and monitoring diversity in organizations through functional instruments with an application to ethnic workforce diversity of the U.S. Federal Agencies

Abstract

The role of diversity in organizations has been widely discussed in recent decades; nevertheless, both theoretical perspectives and empirical results appear conflicting and inconsistent. Scholars identify many possible reasons such as the definition of diversity, theoretical perspectives, variables, and methodological approaches; this study focuses on the methodological issue of assessing variety. To evaluate the role of diversity, most studies adopt static approaches and refer to the classical univariate indices; this research shows their limitations and stresses the importance of treating diversity with a multivariate dynamic approach. Taking advantage of functional data analysis and some recent ecological studies, this dual gap of the organizational literature is addressed by proposing a new methodological approach for measuring and monitoring diversity in organizations. We illustrate an application of this method by using a real dataset concerning the workforce diversity of the ''Corporation For National And Community Service Overview'' within the project ''Federal Equal Opportunity Recruitment Program (FEORP)'' of the Government of the United States of America. The goal of this research is to provide human resources specialists, policy makers, and scholars with additional techniques to improve the understanding of the dynamics of workforce diversity and minority employment within organizations.

Extent prediction of the information and influence propagation in online social networks

“…We then calculate the electrical conductance of the links, and assume that these measures are numerically equal to the affinities of the same links in the social network. Previously, for different purposes, similarities had already been established between two systems belonging to different areas of knowledge; for example, the ecosystem concept used in Biology and Life Sciences was adapted in an area of social sciences to model the business world with the name "Business Ecosystem" (Rong et al 2015;Maturo et al 2018). Another example is the modeling of computer virus propagation from disease propagation models in human populations (Piqueira and Araujo 2009;Uddin et al 2015).…”

The effects of entrepreneurs’ characteristics on internationalisation of gazelle firms: a case of Lithuania

“…While the experience of individuals who have lived abroad significantly affected information gathering and decision-making behaviour, education abroad have led to the much easier expansion of their international activities (Fel ıcio et al, 2012). The studies focused on general and specific human capital through experience and education have raised the assumption that skills required to enter and to succeed in international markets are to some extent different (Ganotakis & Love, 2012;Maturo, Migliori, & Paolone, 2018;Otrisal and Pikner, 2018). However, the results of studies appear to be mixed.…”

Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data

“…1,2,[8][9][10] In addition, there is a constant development of novel applications and suggestions to answer particular dilemmas in singular contexts employing functional instruments. [11][12][13][14][15][16] Because FDA is widely appreciated as a valuable tool for analyzing biomedical data, research on curves' supervised classification is lively. 7,[17][18][19] However, functional data supervised classification using tree-based techniques is still little known and underdeveloped.…”

“…For these reasons, recently, we are witnessing an uninterrupted growth of methodological research on FDA that attempts to replicate, in a functional key, a large part of classical statistics 1,2,8‐10 . In addition, there is a constant development of novel applications and suggestions to answer particular dilemmas in singular contexts employing functional instruments 11‐16 …”

“… 1 , 2 , 8 , 9 , 10 In addition, there is a constant development of novel applications and suggestions to answer particular dilemmas in singular contexts employing functional instruments. 11 , 12 , 13 , 14 , 15 , 16 …”