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This article examines how qualitative job insecurity, work motivation and perceived investment in employee development (PIED) are associated with employees' contextual performance in terms of extra-role behaviours (ERBs). The authors propose a three-way interaction model and suggest that the way qualitative job insecurity relates to employees' ERBs is contingent upon their work motivation and PIED. Results showed that there was a significant three-way interaction between job insecurity, PIED and intrinsic motivation (but not for extrinsic motivation) for ERBs. Employees who reported high qualitative job insecurity but had low intrinsic motivation engaged in more ERBs when they were given ample opportunities for development, while highly intrinsically motivated individuals exhibited fewer ERBs when the organization supported their professional development. This study contributes to the job insecurity and motivation literatures. To increase ERBs, organizations are advised to reduce qualitative job insecurity and to provide ample learning opportunities for employees who have low levels of intrinsic motivation.

Smart cities are a modern reality in an increasingly digitized and fast changing world; and, as multidimensional, multilayered and interconnected career ecosystems they bring a number of challenges for the development of sustainable careers. What are the systemic roots of these challenges, and how can we deal with them to support the emergence of sustainable careers? We draw on a sociotechnical approach, supplemented by a dynamic person–environment fit perspective, to describe two systemic challenges tied to the development of sustainable careers in smart cities, namely: (1) an unbalanced fit, in that the highly digitized context fits best with highly educated and information and communications technology (ICT) literate citizens working in knowledge intensive organizations; and (2) a volatility of fit, associated with the complex and fast-changing smart urban context. Based on the sociotechnical analysis, we put forth three suggestions for addressing these challenges and creating a sustainable career ecosystem focused on: (1) the continuous development of ICT literacy, knowledge, talents and skills; (2) citizen participation and career communities; and (3) network-centric organizing of sustainable careers that could alleviate some of the challenges associated with the parallel development of sustainable careers and smart cities.

Funder: Consejo Nacional de Ciencia y Tecnología (CONCYT); doi: https://doi.org/10.13039/501100007350 ; Funder: Research Foundation Flanders (FWO) postdoctoral fellowship ; Funder: The HSE University Basic Research Program ; Funder: JSPS KAKENHI Grant JP20K14222 ; Abstract: This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.

The COVIDiSTRESS global survey collects data on early human responses to the 2020 COVID-19 pandemic from 173 429 respondents in 48 countries. The open science study was co-designed by an international consortium of researchers to investigate how psychological responses differ across countries and cultures, and how this has impacted behaviour, coping and trust in government efforts to slow the spread of the virus. Starting in March 2020, COVIDiSTRESS leveraged the convenience of unpaid online recruitment to generate public data. The objective of the present analysis is to understand relationships between psychological responses in the early months of global coronavirus restrictions and help understand how different government measures succeed or fail in changing public behaviour. There were variations between and within countries. Although Western Europeans registered as more concerned over COVID-19, more stressed, and having slightly more trust in the governments' efforts, there was no clear geographical pattern in compliance with behavioural measures. Detailed plots illustrating between-countries differences are provided. Using both traditional and Bayesian analyses, we found that individuals who worried about getting sick worked harder to protect themselves and others. However, concern about the coronavirus itself did not account for all of the variances in experienced stress during the early months of COVID-19 restrictions. More alarmingly, such stress was associated with less compliance. Further, those most concerned over the coronavirus trusted in government measures primarily where policies were strict. While concern over a disease is a source of mental distress, other factors including strictness of protective measures, social support and personal lockdown conditions must also be taken into consideration to fully appreciate the psychological impact of COVID-19 and to understand why some people fail to follow behavioural guidelines intended to protect themselves and others from infection. The Stage 1 manuscript associated with this submission received in-principle acceptance (IPA) on 18 May 2020. Following IPA, the accepted Stage 1 version of the manuscript was preregistered on the Open Science Framework at https://osf.io/g2t3b. This preregistration was performed prior to data analysis. ; Peer reviewed