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The 2020 election season brought with it a global public health pandemic and a reenergized racial justice movement. Given the social context of the intertwined pandemics of COVID-19 and racialized violence, do the traditional predictors of voter turnout – race, poverty rates and unemployment rates – remain significant?

Using county-level, publicly available data from twelve Midwest states with similar demographic and cultural characteristics, voter turnout in St. Louis City and St. Louis County were predicted using race, poverty rates and unemployment rates.

Findings demonstrate that despite high concentration of poverty rates and above average percentages of Black residents, voter turnout was significantly higher than predicted. Additionally, findings contradict previous studies that found higher unemployment rates resulted in higher voter participation rates.

This study suggests that the threat of COVID-19 and fear of an increase in police violence may have introduced physical risk as a new theoretical component to rational choice theory for the general election in 2020.

Addresses the standardization of the measurements and the labels for concepts commonly used in the study of work organizations. As a reference handbook and research tool, seeks to improve measurement in the study of work organizations and to facilitate the teaching of introductory courses in this subject. Focuses solely on work organizations, that is, social systems in which members work for money. Defines measurement and distinguishes four levels: nominal, ordinal, interval and ratio. Selects specific measures on the basis of quality, diversity, simplicity and availability and evaluates each measure for its validity and reliability. Employs a set of 38 concepts ‐ ranging from “absenteeism” to “turnover” as the handbook’s frame of reference. Concludes by reviewing organizational measurement over the past 30 years and recommending future measurement reseach.

Communications regarding this column should be addressed to Mrs. Cheney, Peabody Library School, Nashville, Term. 37203. Mrs. Cheney does not sell the books listed here. They are available through normal trade sources. Mrs. Cheney, being a member of the editorial board of Pierian Press, will not review Pierian Press reference books in this column. Descriptions of Pierian Press reference books will be included elsewhere in this publication.

Health scientists and urban planners have long been interested in the influence that the built environment has on the physical activities in which we engage, the environmental hazards we face, the kinds of amenities we enjoy, and the resulting impacts on our health. However, it is widely recognized that the extent of this influence, and the specific cause-and-effect relationships that exist, are still relatively unclear. Recent reviews highlight the need for more individual-level data on daily activities (especially physical activity) over long periods of time linked spatially to real-world characteristics of the built environment in diverse settings, along with a wide range of personal mediating variables. While capturing objective data on the built environment has benefited from wide-scale availability of detailed land use and transport network databases, the same cannot be said of human activity. A more diverse history of data collection methods exists for such activity and continues to evolve owing to a variety of quickly emerging wearable sensor technologies. At present, no “gold standard” method has emerged for assessing physical activity type and intensity under the real-world conditions of the built environment; in fact, most methods have barely been tested outside of the laboratory, and those that have tend to experience significant drops in accuracy and reliability. This paper provides a review of these diverse methods and emerging technologies, including biochemical, self-report, direct observation, passive motion detection, and integrated approaches. Based on this review and current needs, an integrated three-tiered methodology is proposed, including: (1) passive location tracking (e.g., using global positioning systems); (2) passive motion/biometric tracking (e.g., using accelerometers); and (3) limited self-reporting (e.g., using prompted recall diaries). Key development issues are highlighted, including the need for proper validation and automated activity-detection algorithms. The paper ends with a look at some of the key lessons learned and new opportunities that have emerged at the crossroads of urban studies and health sciences.

We do have a vision for a world in which people can walk to shops, school, friends' homes, or transit stations; in which they can mingle with their neighbors and admire trees, plants, and waterways; in which the air and water are clean; and in which there are parks and play areas for children, gathering spots for teens and the elderly, and convenient work and recreation places for the rest of us. (Frumkin, Frank, & Jackson, 2004, p. xvii)

Major concern over monopolies and trusts was one of the distinguishing marks of the American Economic Association from its foundation and lasted well into the early 1900s (Coats, 1960). The failed merger attempt of the Northern Securities Company and the subsequent panic of 1902–1903, the 1907 financial crisis and its aftermath, as well as the ostensibly illegal financial practices of many conglomerates, all contributed to keep the trusts issue alive on academic circles. But it was only after the 1911 Court decisions that the debate on the trust problem and the necessary measures to amend the existing antitrust legislation acquired new vigor and incisiveness.³

In the US, a growing number of organizations and industries are seeking to affirm their commitment to and efforts around diversity, equity, and inclusion (DEI) as recent events have increased attention to social inequities. As health care organizations are considering new ways to incorporate DEI initiatives within their workforce, the anticipated result of these efforts is a reduction in health inequities that have plagued our country for centuries. Unfortunately, there are few frameworks to guide these efforts because few successfully link organizational DEI initiatives with health equity outcomes. The purpose of this chapter is to review existing scholarship and evidence using an organizational lens to examine how health care organizations can advance DEI initiatives in the pursuit of reducing or eliminating health inequities. First, this chapter defines important terms of DEI and health equity in health care. Next, we describe the methods for our narrative review. We propose a model for understanding health care organizational activity and its impact on health inequities based in organizational learning that includes four interrelated parts: intention, action, outcomes, and learning. We summarize the existing scholarship in each of these areas and provide recommendations for enhancing future research. Across the body of knowledge in these areas, disciplinary and other silos may be the biggest barrier to knowledge creation and knowledge transfer. Moving forward, scholars and practitioners should seek to collaborate further in their respective efforts to achieve health equity by creating formalized initiatives with linkages between practice and research communities.

The products of some firms emerge neither from new technology developments nor from attempting to address articulated consumers’ needs, but from a company-internal design-driven approach. To explore this design-driven approach, we propose a construct, design orientation, as a firm’s ability to integrate functionality, aesthetics, and meaning in its new products. We hypothesize relationships between a firm’s design orientation, customer orientation, technological orientation, and willingness to cannibalize on its new product performance.

We use data from surveys of senior marketing executives entrusted with design in 252 US firms, we validate the construct of design orientation and establish its distinctiveness from related constructs of creativity, technological orientation, and customer orientation. Using a structural equation modeling approach, we test the hypotheses and find support for them.

Individually, design orientation, technological orientation, and customer orientation improve new product performance. In addition, customer orientation decreases the positive effect of design orientation while willingness to cannibalize increases the positive effect of design orientation on new product performance.

More than two-thirds of respondents (69%) perceive that their firm can improve its new product performance by increasing its design orientation, an overlooked organizational capability.

Although practitioners have acknowledged the importance of design as a strategic marketing issue, there is little in the literature on how firms can benefit from building capabilities in the design domain, the issue we focus on in this research.

This chapter develops a predictive approach to Granger causality (GC) testing that utilizes k -fold cross-validation and posterior simulation to perform out-of-sample testing. A Monte Carlo study indicates that the cross-validation predictive procedure has improved power in comparison to previously available out-of-sample testing procedures, matching the performance of the in-sample F-test while retaining the credibility of post- sample inference. An empirical application to the Phillips curve is provided evaluating the evidence on GC between inflation and unemployment rates.

Purpose: The aim of the study is to consider the use of the Internet as a potential facilitator of positive health-related perceptions. Specifically, we propose that online health information seeking fosters positive perceptions of health. Using path modeling, we theorized several mechanisms through which information seeking could be conducive to positive health perceptions, which we conceptualized into the following four dimensions: (1) sense of empowerment in managing health, (2) self-reported ability to take better care of health, (3) sense of improved health-related quality of life, and (4) self-reported improvement of health.

Methodology: Our sample consisted of respondents who have used the Internet as a resource for health information (n = 710), drawn from the largest national probability-based online research panel. Our comparison subsample consisted of older respondents (age ≥ 60; n = 194). We used Internet-specific measures and employed structural equation models (SEM) to estimate the direct, indirect, and total effects of health-related use of the Internet on subjective health perceptions. Based on our review of the literature, competent health communication with healthcare providers and sense of empowerment in managing personal health were modeled as mediator variables. We assessed whether the proposed mediational relationships, if significant, differed across our indicators of positive health perceptions and whether any differential associations were observed among older adults. We run parallel models for each indicator of positive health perception.

Findings: Provider-patient communication informed by the Internet resources were perceived to impart a greater sense of empowerment to manage health among our respondents, which in turn, was associated with perceived contributions to better self-reported ability to provide self-care, increased health-related quality of life, and improvement in self-reported health. The SEM results revealed a good fit with our full sample and subsample.

Research Implications: Conceptualization of the multidimensional aspects of online health information seeking with separate multi-indicator analyses of the outcome variable is important to further our understanding of how technology may impact the pathways involved in influencing health perceptions and as a result health outcomes.