The Problem. An increasing number of organizations are experiencing concerns from employees regarding work-life balance. Organizations that have chosen to implement formal flexible work arrangements (FWAs) have experienced reluctance from their employees to participate. COVID-19 has forced the hand further toward FWAs, and created additional work life balance concerns. The Solution. FWAs present an opportunity for organizations to address work-life balance concerns, especially amid the black swan event of COVID-19. Implementing FWAs provides opportunity for organizations to reduce turnover and facilitate employee development through work life balance programs. The Stakeholders. The informal processes of FWAs should receive due attention by HRD practitioners and scholars alike.
The Problem Meta-science literature calls for data to be made openly available so that scholars and scholar-practitioners can validate published findings, a foundational step in the reproducibility spectrum. However, access to original research data is an ongoing dilemma in various disciplines, including human resource development. The Solution Scholars and scholar-practitioners have the opportunity to evaluate the credibility of previous studies without access to the original raw data. The use of descriptive statistics from published research offers an alternative to assess the reproducibility and robustness of selected prior research. The Stakeholders In addition to validating research before applying implications for practice in the field, practitioners could benefit from working with scholars and scholar-practitioners by assessing analytic robustness and reevaluating data through a new framework to address burgeoning organizational problems, potentially saving resources. Scholars can reimagine conceptual frameworks based on advances to theory and statistical analyses capabilities. For emerging scholars, the ability to validate prior research or apply new models using the information contained in a publication can create a learning opportunity to understand statistical analyses.
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