Sustainable employability refers to individuals’ long-term abilities to work and remain employed. Despite its societal importance in the light of aging populations and rapidly changing skill demands, sustainable employability still requires further definition and conceptualization. As such, the present paper aims to define and conceptualize sustainable employability comprehensively by reviewing existing studies on the concept. Additionally, the paper discusses and integrates sustainable employment, sustainable work, and sustainable work ability into our broad framework of sustainable employability. The resulting conceptual framework positions sustainable employability as an inherently longitudinal multidimensional individual characteristic that is the outcome of complex interactions between individual-, work- and work environmental characteristics. This framework enables researchers to identify the employment characteristics that promote sustainable employability and thereby comprise sustainable employment. Finally, the framework links to notions of person-environment fit, and job- and organizational design to create a basis for future research on sustainable employability.

The checklist and structural equation modeling facilitate handling formative constructs. By establishing sustainable employability as a formative construct, individuals' long term ability to function at work can be more adequately studied and intervened upon.

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Within evolutionary biology, life-history theory is used to explain cross-species differences in allocation strategies regarding reproduction, maturation, and survival. Behavioral scientists have recently begun to conceptualize such strategies as a within-species individual characteristic that is predictive of behavior. Although life history theory provides an important framework for behavioral scientists, the psychometric approach to life-history strategy measurement—as operationalized by K-factors—involves conceptual entanglements. We argue that current psychometric approaches attempting to identify K-factors are based on an unwarranted conflation of functional descriptions and proximate mechanisms—a conceptual mix-up that may generate unviable hypotheses and invites misinterpretation of empirical findings. The assumptions underlying generic psychometric methodology do not allow measurement of functionally defined variables; rather these methods are confined to Mayr’s proximate causal realm. We therefore conclude that K-factor scales lack validity, and that life history strategy cannot be identified with psychometrics as usual. To align theory with methodology, suggestions for alternative methods and new avenues are proposed.

Hospitals operate in increasingly complex and dynamically uncertain environments. To understand how hospital organizations can cope with such profound uncertainty, this article presents a multiple case study of five hospitals during the COVID-19 crisis in a heavily hit region of the Netherlands. We find that hospitals make adaptations in five key categories, namely: reorganization, decision-making, human resources, material resources, and planning. These adaptations offer insights into the core capabilities needed by hospitals to cope with dynamic uncertainty. Our findings highlight the need for hospitals to become more flexible without sacrificing efficiency. Organizations can accomplish this by building in more sensing and seizing capabilities to be better prepared for and respond to environmental change. Furthermore, transforming capabilities allow organizations to be more resilient and responsive in the face of ongoing uncertainty. We make recommendations on how hospitals can build these capabilities and address the core challenges they face in this pursuit.