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Workspan Magazine
06/13/2024
Author(s):
Workspan Daily
09/15/2022
Stock Options Grant date fair values for stock options are primarily prepared using either Black-Scholes or binomial lattice pricing models, with Black-Scholes being far and away the most commonly used model.
Author(s):
Workspan Daily
11/26/2025
Income Producer Model
Since the market and industry typically dictate the rate in an income producer model, there are a limited number of sales compensation solutions that management can use to drive strategic priorities and higher productivity.
Author(s):
Journal Article
11/14/2024
To align with the future-of-work models, we need to innovate the ways we reward our employees.
Author(s):
Workspan Daily Plus+
05/13/2025
Building Internal Models
Some organizations are looking to build internal models backed by
artificial intelligence that enable them to automate processes and create behavioral nudges that help leaders and employees make better decisions around skills development.
Author(s):
Workspan Daily
03/30/2022
The hybrid-work model will likely be a natural segue to work hub models, physical spaces where companies can consolidate employees, customers and clients in geographic areas.
Author(s):
Journal Article
05/15/2025
To the degree that population sizes allow, logistic regression models should be run separately for employee groups where promotion standards might be different.
Author(s):
Workspan Daily
11/16/2023
Among the challenges of going public is the significant cultural shift from an owner-operator model to an agency model where partners become “agents” who manage shareholders’ assets.
Author(s):
Workspan Daily
06/25/2025
Plan recordkeepers and middleware technology can support these options by integrating participant planning tools that model expected retirement income streams and emphasize tradeoffs.;
;Retirement income projection tools.
Author(s):
Workspan Daily Plus+
09/30/2025
If they have the bandwidth, an HR analyst or total rewards (TR) professional in a larger organization can perform manual statistical modeling using software like Python and R for frequency distributions, cross-tabulations, chi-square tests or regression analysis.
Author(s):
