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This study reviews strategies organizational leaders and human resource practitioners can deploy to develop knowledge transfer and retention succession planning strategies…
This study reviews strategies organizational leaders and human resource practitioners can deploy to develop knowledge transfer and retention succession planning strategies for older employees to mitigate generational organizational knowledge loss prior to retirement.
This study used a questionnaire with 28 baby boomer employees and leaders of baby boomers at a large federal agency. Purposive and snowball sampling techniques were used. Questions asked participants about knowledge transfer, retention strategies and how challenges to counter baby boomer knowledge loss are addressed in the workplace.
Develop succession plans using standard operating procedures and job aids to reduce knowledge loss and enhance retention. Deploy hands-on training to share historical knowledge, enhance relationship building, mentoring programs, cross-training opportunities, retention incentives and document process improvement. The strategies are supported by organizational learning and knowledge management theories.
This study contributes to organizational leaders’ and human resource practitioners’ knowledge transfer and retention succession planning strategies to counter generational knowledge loss.
In the pursuit of net-zero, the decarbonization activities of organizations are a critical feature of any sustainability strategy. However, government policy and recent…
In the pursuit of net-zero, the decarbonization activities of organizations are a critical feature of any sustainability strategy. However, government policy and recent technological innovations do not address the digital carbon footprint of organizations. The paper aims to present the concept of single-use dark data and how knowledge reuse by organizations is a means to digital decarbonization.
Businesses in all sectors must contribute to reducing digital carbon emissions globally, and to the best of the authors’ knowledge, this paper is the first to examine “how” from a knowledge (re)use perspective. Drawing on insights from the knowledge creation process, the paper presents a set of pathways to greater knowledge reuse for the reduction of organizations’ digital carbon footprint.
Businesses continually collect, process and store knowledge but generally fail to reuse these knowledge assets – referred to as dark data. Consequently, this dark data has a huge impact on energy use and global emissions. This model is the first to show explicit pathways that businesses can follow to sustainable knowledge practices.
If businesses are to be proactive in their collective pursuit of net-zero, then it becomes paramount that reducing the digital carbon footprint becomes a key sustainability target. The paper presents how this might be accomplished, offering practical and actionable guidance to businesses for digital decarbonization.
Two critical questions are facing businesses: how can decarbonization be achieved? And can it be achieved at a low-cost? Awareness of the damaging impact digitalization may be having on the environment is in its infancy, yet knowledge reuse is a proactive and cost-effective route to reduce carbon emissions, which is explored in the paper.