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Record W2137047398 · doi:10.1108/00197851211245031

Transferring corporate knowledge via succession planning: analysis and solutions – Part 1

2012· article· en· W2137047398 on OpenAlexaff
Steven H. Appelbaum, Heidi Gunkel, Christina Benyo, Said Ramadan, Fadi Sakkal, Damian Wolff

Bibliographic record

VenueIndustrial and Commercial Training · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsConcordia University
Fundersnot available
KeywordsSuccession planningRestructuringWorkforceProductivityMarketingBusinessTest (biology)Job satisfactionDemographicsOrganizational cultureKnowledge managementPublic relationsManagementSociologyComputer scienceEconomicsPolitical science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to study and provide a large national publicly traded company with realistic solutions for succession planning. The name of the actual company where all data were collected has remained anonymous and been replaced with Millennium Dynamics, Inc. As a large number of their workforce consists of “Baby Boomers”, 50 percent of their employees will be of retirement age within the next five years. Having acknowledged the company's concerns about efficiency of new employees and the loss of morale in senior employees, this two‐part article sets out to provide motivational tools for management and suggest solutions to restructure and reorganize in a way to prevent the inevitable – loss of corporate knowledge via succession planning. Design/methodology/approach A survey and individual interviews were conducted within the company to measure current job satisfaction and company culture as well as how the different generations of employees view each other and themselves. Employees were also questioned about their legacy in the organization and their thoughts about transferring corporate knowledge from one generation to another. This is a two‐part article. Part 1 covers the background to the case under investigation, a review of relevant literature and the hypotheses to test the problem to be studied and solved. Part 2 will describe the methodology and data related to demographics, the testing of the hypotheses and conclusions and recommendations. Findings The study found a correlation between job satisfaction and effective communication and a negative correlation between pre‐retirees and their lack of motivation as they approach retirement. Also, it was found that senior employees possess a willingness to share and transfer knowledge to younger generations. Research limitations/implications The article relies on limited survey and interview data of one particular regional department within a large organization. Certain demographic questions were omitted to preserve confidentiality. The selected department and interview subjects were chosen by the organization and therefore the occurrence of a sampling error is possible. Practical implications This study monitored the impact that recent retirees will have on the remaining staff of a company. The act of effective succession planning is of paramount importance since the “Baby Boomer” generation is comprised of 76 million North Americans and the threat of the loss of corporate knowledge will inevitably increase as the population ages. This article offers recommendations as to how an organization can better manage the impact of a large number of retirees on the remaining workforce and what it can do to maximize efficiency. Originality/value The article offers practical solutions for dealing with the impact of retiring Baby Boomers and identifies models for a proactive approach in dealing with an issue that will affect the North American economy within the next five years.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.726
GPT teacher head0.459
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations27
Published2012
Admission routes1
Has abstractyes

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