Area:
Industrial Psychology
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High-probability grants
According to our matching algorithm, Tammy D. Allen is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
2015 — 2018 |
Allen, Tammy Miller, Michelle (co-PI) [⬀] |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Sbp: Broadening Participation of Stem Faculty Through Work Design @ University of South Florida
Nontechnical Description of Significance and Importance
Work design plays a central role in the way individuals experience work. Structural characteristics of jobs such as social support, decision-making autonomy, and perceived significance are positively associated with outcomes such as job satisfaction and retention. However, effects of characteristics of jobs vary across gender, even when males and females occupy the same position. Differences are also evident in time allocation on faculty jobs: males spend more time engaged in research than females, who put more time into mentoring and service. Gendered patterns are especially pronounced among STEM faculty. While such differences have been well documented, we have little understanding why the work experiences of male and female faculty diverge. The proposed project uses work design theory as a lens for investigating the variability in work experiences and job outcomes across male and female STEM faculty, providing new insight into structural barriers that help and hinder underrepresented groups in STEM careers. The plan of work includes a three-wave longitudinal panel design survey, a 10-day daily experience sampling method study, a series of focus group interviews, and an archival review of promotion and tenure files.
Technical Description
Lack of female role models discourages female participation in STEM careers; thus, increasing the number of female faculty in male dominated STEM fields is key to broadening participation of women in STEM. Findings from the theoretically derived proposed set of relationships will elucidate the complex interplay between top down and bottom up processes within organizations that contribute to alignment between individual and organizational goals and that can lead to the design of effective programs and interventions within organizations. Expected outcomes include a more nuanced understanding of the daily work experiences of female STEM faculty and how those experiences differ from their male counterparts. It is also expected that the findings will reveal micro level processes that inhibit the successful progression and retention of female faculty. This proposed research unites diverse expertise across several fields of science in effort to apply a multidisciplinary perspective to the research questions. The findings will be used to help inform and stimulate ways in which organizations can alter work design processes, in an effort to advance the careers of women in STEM. Funding will be used to support a doctoral student researcher. The doctoral student will gain research project management experience and be involved in products associated with the research (e.g., conference presentations; publications). The proposed project will also provide research experiences for undergraduates who will be supervised by the doctoral research assistant. Such experiences contribute to the development of a scientifically literate workforce in that undergraduates who participate in research have reported cognitive gains such as increased confidence in their ability to do science and learning to "think and work like a scientist." Developmental activities and experiences will include lab meeting and departmental presentations, scholarly article discussions, and written developmental plans.
|
0.915 |
2020 — 2021 |
Allen, Tammy |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Rapid: Collaborative Research: Adjustment and Effectiveness of Rapid Transition to Remote Work @ University of South Florida
The COVID-19 pandemic has forced much of the country?s workforce into remote work arrangements. With the need for social distancing, the ability to continue essential business functions through effective remote work arrangements is a key means for addressing the global health crisis. However, many organizations are unprepared to accommodate a remote workforce and likewise lack insight into best practices as to how to promote continued productivity and well-being of the workforce in such arrangements. Although there is a large body of extant research on remote work arrangements, numerous questions remained under investigated. This project will address these gaps by studying the impact of several organizational, individual, technological, and supervisor characteristics on remote worker adjustment, well-being, and productivity. Findings from the project will provide evidence-based best practices that many large and small businesses can use both during future pandemics and other extreme events, but also going forward in normal work environments that may increasingly want to support remote work.
The COVID-19 pandemic has suddenly promoted the need for remote work arrangements on a vast scale, but we lack key information regarding what makes such work productive and sustainable. This project will obtain data from 500 full-time employees who are working remotely during the response to COVID-19 but were not doing so previously. The first phase of the project will collect a baseline survey that captures characteristics and experiences prior to the pandemic and remote work transition and general perceptions of the adjustment to remote work process. Phase 2 involves a 30-day experience sampling study administered daily at the end of each workday that will capture day-to-day experiences, attitudes, and performance of remote workers. Benefits of this panel design are: 1) provides insights into how multiple dynamic changes influence outcomes; 2) enhances ecological validity; 3) allows researchers to examine both within- and between-person processes; and 4) reduces retrospective recall biases. The project will partner with several work organizations to collect the data. Data from Phase 1 will be analyzed using regression and dominance analysis; data from Phase 2 will be analyzed using multi-level modeling which controls for nested structures, adjusting standard errors to take into account the lack of independence. These analyses also control for between-subject variables and previous measurements while also accounting for missing data. Findings from the project will inform organizational theories involving the effects of organizations, individuals, work, and technology on workers and work outcomes.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
0.915 |