Unpacking psychological inequalities in organisations:Psychological capital reconsidered

In this paper, we argue that psychological capital is unequally distributed among people from different social classes, ethnic backgrounds and genders. Confronting the limitations of the current, individualistic perspective on psychological capital, we offer a re-conceptualisation of the construct from a critical, interdisciplinary perspective, placing it at the intersection of sociology and psychology. We discuss the various mechanisms through which social inequalities may cause differential access to psychological capital for members of low- and high-status social groups and show how this differential access to psychological capital results in and exacerbates social inequalities. By doing this, we postulate a recursive theory on psychological capital that both recognises the formative effect of socio-organisational structures on one's psychology and vice versa

Towards an understanding of talent management as a phenomenon-driven field using bibliometric and content analysis

This review adopts a phenomenon-driven approach in reviewing the talent management (TM) literature, applying methods derived from bibliometrics and content analysis to evaluate the state of the field and derive implications for research and practice unbiased towards a-priori assumptions of which frameworks or methods are most adequate. Based on analyses of publication volume, journals and their impact factors, most cited articles and authors, preferred methods, and represented countries, we assess whether TM should be approached as an embryonic, growth, or mature phenomenon, and examine dominant (i.e., resource-based view, international human resource management, employee assessment, and institutionalism) versus ‘alternative’ (i.e., knowledge management, career management, strength-based approach, and social exchange theory) theoretical frameworks. Our goal is to assist TM researchers in positioning their work more explicitly vis-à-vis current debates in the existing literature and encourage them to think about which approach best fits their research aims, questions, and designsPeer ReviewedPostprint (author’s final draft

Reframing talent identification as a status-organising process:Examining talent hierarchies through data mining

We examine how peers form talent appraisals of team members, reframing talent identification as a status-organising social process. Using decision trees, we modelled configurations of characteristics and behaviours that predicted dominant versus parallel routes to achieving the status of most talented team member. Across 44 multidisciplinary teams, talent status was most often granted to peers perceived as having both leadership and analytic talent; a STEM degree served a dominant signalling function. Where previous studies assumed that degree operates as a specific status characteristic, we show that a STEM degree operates as a diffuse status characteristic, which predicts status in general. We thus discovered that status hierarchies in teams are also based on the type of talent—and not just the level of talent—members are perceived to possess. In so doing, we offer a proof of concept of what we call ‘talent hierarchies’ in teams, for future research to build on

Towards an understanding of talent management as a phenomenon-driven field using bibliometric and content analysis

This review adopts a phenomenon-driven approach in reviewing the talent management (TM) literature, applying methods derived from bibliometrics and content analysis to evaluate the state of the field and derive implications for research and practice unbiased towards a-priori assumptions of which frameworks or methods are most adequate. Based on analyses of publication volume, journals and their impact factors, most cited articles and authors, preferred methods, and represented countries, we assess whether TM should be approached as an embryonic, growth, or mature phenomenon, and examine dominant (i.e., resource-based view, international human resource management, employee assessment, and institutionalism) versus 'alternative' (i.e., knowledge management, career management, strength-based approach, and social exchange theory) theoretical frameworks. Our goal is to assist TM researchers in positioning their work more explicitly vis-à-vis current debates in the existing literature and encourage them to think about which approach best fits their research aims, questions, and designs

Manifesto for the future of work and organizational psychology

This manifesto presents 10 recommendations for a sustainable future for the field of Work and Organizational Psychology. The manifesto is the result of an emerging movement around the Future of WOP (seewww.futureofwop.com), which aims to bring together WOP-scholars committed to actively contribute to building a better future for our field. Our recommendations are intended to support both individuals and collectives to become actively engaged in co-creating the future of WOP together with us. Therefore, this manifesto is openand never“finished.”It should continuously evolve, based on an ongoing debate around our professional values and behavior. This manifesto is meant, first of all, for ourselves as an academic community. Furthermore, it is also important for managers, decision makers, and other stakeholders and interested parties,such as students, governments and organizations, as we envision what the future of WOP could look like, and it is only through our collective efforts that we will be able to realize a sustainable future for all of us

Global maps of soil temperature

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world\u27s major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

Global maps of soil temperature

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km² resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e., offset) between in-situ soil temperature measurements, based on time series from over 1200 1-km² pixels (summarized from 8500 unique temperature sensors) across all the world’s major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in-situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

Global maps of soil temperature.

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

Advancing theory for talent identification: reframing the phenomenon of talent identification as a social perception process.

nrpages: 202status: publishe