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The purpose of this Real Impact Research Article is to empirically explore one of the most controversial and elusive concepts in knowledge management research – practical wisdom. It develops a 10-dimensional practical wisdom construct and tests it within the nomological network of counterproductive and productive knowledge behavior.

A survey instrument was created based on the extant literature. A model was developed and tested by means of Partial Least Squares with data obtained from 200 experienced employees recruited from CloudResearch Connect crowdsourcing platform.

Practical wisdom is a multidimensional construct that may be operationalized and measured like other well-established knowledge management concepts. Practical wisdom guides employee counterproductive and productive knowledge behavior: it suppresses knowledge sabotage and knowledge hiding (whether general, evasive, playing dumb, rationalized or bullying) and promotes knowledge sharing. While all proposed dimensions contribute to employee practical wisdom, particularly salient are subject matter expertise, moral purpose in decision-making, self-reflection in the workplace and external reflection in the workplace. Unexpectedly, practical wisdom facilitates knowledge hoarding instead of reducing it.

Managers should realize that possessing practical wisdom is not limited to a group of select, high-level executives. Organizations may administer the practical wisdom questionnaire presented in this study to their workers to identify those who score the lowest, and invest in employee training programs that focus on the development of those attributes pertaining to the practical wisdom dimensions.

The concept of practical wisdom is a controversial topic that has both detractors and supporters. To the best of the author’s knowledge, this is the first large-scale empirical study of practical wisdom in the knowledge management domain.

The aim of this paper is to respond to a gap in the literature around resilience in later life for older people from minority groups of identity or experience. Specifically, it argues that we need to pay greater attention to how access to different types of social capital may leave some older people more or less able to cope with adverse events and how experiences of social exclusion can limit access to important networks of support during times of crisis.

This paper draws on research conducted to inform the resilience strategy of Greater Manchester in 2019, and specifically looked at how this strategy could better address the needs of the regions’ diverse ageing population. It used a qualitative design including focus groups with older women of Punjabi heritage living in Greater Manchester, interviews with staff from a community and voluntary organisation working with these women, and interviews with staff at an organisation supporting refugees and asylum seekers in Greater Manchester who specifically worked with older adults.

The research found that belonging to a minority group and experiences of social exclusion gave participants in this study both resources and vulnerabilities when it came to dealing with external shocks in later life. Whilst participants in this study had access to strong networks of bonding capital based on shared identity and experience, social exclusion often meant they faced barriers to accessing network of support outside of these communities.

Findings from this study have implications for both future research and policy. In the case of the latter there are implications for those working in resilience planning in terms of how to address the needs of diverse older populations. For researchers, this paper has implications for how we understand the impacts on inequality in later life particularly in the context of the COVID-19 pandemic.

The originality of this paper lies in its consideration of the impact of inequalities and social exclusion on the resilience of older people in times of crisis. It included older people from minority groups of identity and experience addressing an important gap in the literature.

As aging populations lead to longer working lives and increasing automation threatens job security, maintaining lifelong employability is becoming a fundamental challenge for many individuals. The purpose of this study is to examine how lifelong employability can be maintained.

Based on the theoretical perspectives of both movement capital and selection, optimization and compensation (SOC) theories, we used large-scale survey data (N = 2,256) from three European countries to investigate strategies for preserving employability among aging workers. Specifically, we explored the perceived risk of automation, lifelong learner characteristics and self-efficacy for occupational mobility as boundary conditions that may shape the negative relationship between age and employability.

We found a negative relationship between age and employability, which was more pronounced when the perceived risk of automation was higher. Furthermore, lifelong learner characteristics and self-efficacy for occupational mobility mitigated the negative relationship, so that age was not related to employability if people possessed lifelong learner characteristics and were ready for a career change.

Our study implies the importance of investing in enhancing lifelong learner characteristics and self-efficacy for occupational mobility for older employees.