Climate change: An increase in norms for inclusion predicts greater fit and commitment for women in STEM

2021 ◽  
pp. 136843022110354
Author(s):  
William Hall ◽  
Toni Schmader ◽  
Michelle Inness ◽  
Elizabeth Croft
Keyword(s):  
Climate Change ◽  
Organizational Commitment ◽  
Survey Data ◽  
Field Data ◽  
Workplace Culture ◽  
Longitudinal Analyses ◽  
Longitudinal Field ◽  
Stem Fields ◽  
Organizational Value ◽  
Policies And Practices

In male-dominated STEM fields, workplace culture is often cited as a factor for women’s attrition. In the present research, we used longitudinal field data to examine how changes in the perceived normative support for gender-inclusive policies and practices over 6 months relate to changes in women’s and men’s experiences of fit and commitment to their organization. Longitudinal analyses of survey data from a sample of 181 engineers revealed that increased perceptions of support for gender-inclusive policies and practices predicted increased organizational commitment only among women, an effect that was mediated by an increase in organizational value fit. Additional analyses suggest that perceptions of change in normative attitudes toward inclusive policies were more predictive of women’s organizational commitment than the awareness that the policies were in place or that one has personally benefitted from them. The implications of an inclusive workplace culture for supporting women’s retention in STEM are discussed.

A user guide to the CCAFS Gender and Climate Change Survey data

2018 ◽  
Author(s):  
International Food Policy Research Institute (IFPRI)
Keyword(s):  
Climate Change ◽  
Survey Data

Organizational Culture as a Predictor of Managerial Motivation in Indian Public Enterprises

2009 ◽  
Vol 34 (4) ◽  
pp. 451-470
Author(s):  
V. N. Srivastava
Keyword(s):  
Organizational Culture ◽  
Organizational Commitment ◽  
Public Sector ◽  
Research Study ◽  
Strong Predictor ◽  
Employee Motivation ◽  
Public Enterprises ◽  
Independent Variables ◽  
Several Variables ◽  
Policies And Practices

Organizational culture has become a widely researched topic and efforts to understand the phenomena surrounding managerial motivation have been even more widespread. The most important reason for this is that employee motivation continues to be a big problem and organizational culture plays an important role in determining employee motivation. Organizational Culture is a deeply rooted phenomena, which is the end — product of several variables, most of them being the offshoots of HR policies and practices. The present research study attempts to find out the predictors of managerial motivation in Indian Public Enterprises with the help of some newly constructed scales of organizational commitment and organizational culture. Organizational commitment is treated as dependent variable and 11 dimensions of organizational culture are used as independent variables. The study is carried out on a sample of 72 managers from two well-known public enterprises. The major finding of the study is that two completely different sets of predictors are at work in different organizations in the two public sector enterprises. Even though organizational culture is found to be a strong predictor of managerial motivation in each organization, the particular dimension of culture that influence motivation is found to be organization specific.

Non-normative Connections between Work and Family: The Gendered Career Consequences of Being a Dual-career Academic

2018 ◽  
Vol 61 (5) ◽  
pp. 766-786
Author(s):  
Hong Zhang ◽  
Julie A. Kmec
Keyword(s):  
Higher Education ◽  
Organizational Commitment ◽  
Survey Data ◽  
Higher Education Institutions ◽  
Work And Family ◽  
Male Gender ◽  
The Other ◽  
Family Influence ◽  
Dual Career ◽  
Gender Conformity

We investigate the way norms regarding the connections between work and family influence the career consequences of being a dual-career academic. We pay special attention to “gender deviants”—men who indicate that their career is secondary to that of their wife’s career, and women who say their career is primary to that of their husband’s. Analyses using survey data from faculty in seven U.S. universities find male gender conformists (men who perceive their career as primary) report fewer negative career consequences than the other groups. Gender deviants have the lowest levels of organizational commitment. Female and male gender egalitarians (ranking their career as equal) report greater organizational commitment. Gender conformity—that is, ranking one’s career and relationship in the manner society expects—benefits men more so than women. We discuss implications for findings, particularly as they relate to recruitment and retention of dual-career academics in higher education institutions.

scholarly journals Can Field Crews Telecommute? Varied Data Quality from Citizen Science Tree Inventories Conducted Using Street-Level Imagery

Forests ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 349 ◽  
Author(s):  
Adam Berland ◽  
Lara A. Roman ◽  
Jess Vogt
Keyword(s):  
Data Quality ◽  
Survey Data ◽  
Field Data ◽  
Urban Forest ◽  
Street Trees ◽  
Diameter Class ◽  
Tree Diameter ◽  
Street Level ◽  
Street Tree ◽  
High Level

Street tree inventories are a critical component of urban forest management. However, inventories conducted in the field by trained professionals are expensive and time-consuming. Inventories relying on citizen scientists or virtual surveys conducted remotely using street-level photographs may greatly reduce the costs of street tree inventories, but there are fundamental uncertainties regarding the level of data quality that can be expected from these emerging approaches to data collection. We asked 16 volunteers to inventory street trees in suburban Chicago using Google Street ViewTM imagery, and we assessed data quality by comparing their virtual survey data to field data from the same locations. We also compared virtual survey data quality according to self-rated expertise by measuring agreement within expert, intermediate, and novice analyst groups. Analyst agreement was very good for the number of trees on each street segment, and agreement was markedly lower for tree diameter class and tree identification at the genus and species levels, respectively. Interrater agreement varied by expertise, such that experts agreed with one another more often than novices for all four variables assessed. Compared to the field data, we observed substantial variability in analyst performance for diameter class estimation and tree identification, and some intermediate analysts performed as well as experts. Our findings suggest that virtual surveys may be useful for documenting the locations of street trees within a city more efficiently than field crews and with a high level of accuracy. However, tree diameter and species identification data were less reliable across all expertise groups, and especially novice analysts. Based on this analysis, virtual street tree inventories are best suited to collecting very basic information such as tree locations, or updating existing inventories to determine where trees have been planted or removed. We conclude with evidence-based recommendations for effective implementation of this type of approach.

scholarly journals Can Topographic Variation in Climate Buffer against Climate Change-Induced Population Declines in Northern Forest Birds?

Diversity ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 56 ◽  
Author(s):  
Raimo Virkkala ◽  
Juha Aalto ◽  
Risto K. Heikkinen ◽  
Ari Rajasärkkä ◽  
Saija Kuusela ◽  
...  
Keyword(s):  
Climate Change ◽  
Temperature Variation ◽  
Survey Data ◽  
Bird Species ◽  
Forest Birds ◽  
Local Temperature ◽  
Population Declines ◽  
Northern Forest ◽  
Bird Density ◽  
Topographic Variation

Increased attention is being paid to the ecological drivers and conservation measures which could mitigate climate change-induced pressures for species survival, potentially helping populations to remain in their present-day locations longer. One important buffering mechanism against climate change may be provided by the heterogeneity in topography and consequent local climate conditions. However, the buffering capacity of this topoclimate has so far been insufficiently studied based on empirical survey data across multiple sites and species. Here, we studied whether the fine-grained air temperature variation of protected areas (PAs) affects the population changes of declining northern forest bird species. Importantly to our study, in PAs harmful land use, such as logging, is not allowed, enabling the detection of the effects of temperature buffering, even at relatively moderate levels of topographic variation. Our survey data from 129 PAs located in the boreal zone in Finland show that the density of northern forest species was higher in topographically heterogeneous PAs than in topographically more homogeneous PAs. Moreover, local temperature variation had a significant effect on the density change of northern forest birds from 1981–1999 to 2000–2017, indicating that change in bird density was generally smaller in PAs with higher topographic variation. Thus, we found a clear buffering effect stemming from the local temperature variation of PAs in the population trends of northern forest birds.

scholarly journals A note on a Comparison of Starting Points for the Generation of D-optimal Second-order Designs

2020 ◽  
Vol 7 (2) ◽  
pp. 1001-1008
Author(s):  
Ngozi Chizoma Umelo-Ibemere
Keyword(s):  
Climate Change ◽  
Mathematical Analysis ◽  
Field Data ◽  
Satellite Images ◽  
Cultivated Land ◽  
Temporal And Spatial ◽  
Land Surfaces ◽  
Optical Satellite Images ◽  
Agricultural Areas ◽  
Sentinel 2

Agricultural monitoring has become an absolute necessity in the Sahel countries, especially with climate change which constitutes a real threat for this sector. The aim of this work is to develop a methodology for identifying crops and mapping agricultural areas using Sentinel-2 data from the Copernicus program. The purpose of this work consisted in discriminating the crops of millet, maize and peanuts. This is to analyse the scientific and technical obstacles related to this problem. For this, we have made a mathematical analysis of optical satellite images. High temporal and spatial resolution images (10m to 60m) of Sentinel 2 sensors were used in this work. This unique set of data coupled with field data, has permitted to carry out a diagnosis of land cover and cultivated land surfaces, and evaluating the contribution of this type of data for crop forecast

Analysis of climate change-urban vegetation land cover interaction through time-series satellite and field data

2019 ◽  
Author(s):  
Maria A. Zoran ◽  
Roxana S. Savastru ◽  
Dan M. Savastru ◽  
Marina N. Tautan ◽  
Laurentiu A. Baschir ◽  
...  
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Land Cover ◽  
Field Data ◽  
Urban Vegetation
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