The dot.com era may be over but the hangover from hiring and firing so many employees, so quickly still lingers. By applying some SCM principles to your labor pool you can avoid this boom/bust cycle in the future.
Through a labor supply chain initiative mandated at the end of 2003 by CEO Sam Palmisano IBM saved $500 million last year. This was due, in no small part, by the three to five percent boost in the utilization of its service professionals.
In the process, IBM avoided hiring an additional 13,000 employees, due to labor management efficiencies, said Harold Blake, director of Labor Optimization at IBM Integrated Supply Chain in East Fishkill, New York.
”The thinking was that if we could start looking at our resources like we’re looking at our parts and manage them in similar kinds of ways, it would provide us with a significant competitive advantage in the marketplace,” said Blake.
While labor supply chain management (LSCM) may be impractical for all but the largest enterprises, IBM’s pioneering project paves the way for future invention, according to analyst Bruce Richardson of AMR Research.
Before its pioneering project, IBM had an ad-hoc way of tracking employee skills across the enterprise. Each individual division devised its own methods. So while IBM knew where every resistor, every capacitor, and every nickel part existed in the supply chain, the same was not true for its 360,000-person global workforce.
IBM had no way of tracking employee skills and linking them back to demand across the enterprise.
Tower of Babel
To understand the ”supply” side of the labor force and begin to remedy this situation, IBM first needed a common and consistent taxonomy of employee jobs and skills to be used across all company divisions, staffing providers, and contractors.
This taxonomy allowed employees to describe their skills along the following lines:
By virtue of it’s workforce diversity, IBM had to become very domain-specific with the taxonomies, said Raghu Santanam, professor of information systems and director of Research for the Center for Advancing Business Information Technology at Arizona State University.
”There are some standards with HR which help you define what your employees’ skills and capabilities are, but that’s within a particular domain,” said Santanam. So, IBM had to create uniform taxonomies for multiple labor domains.
To aid with labor supply and demand planning, IBM made the taxonomies available across all business units, to all job candidates of IBM, to all contractors, and to IBM’s staffing vendors in each of its key global geographies.
Old Tool, New Uses
Then IBM modified a workflow tool originally developed to manage the routing of travel and expense invoices, providing managers with oversight into which employees had complied with a request to fill out the employee taxonomy with job and skill information.
As employees gain new expertise, they update their own profile on the intranet. To date, 90 to 95 percent of the Global Services and Software group employees have input their information into the taxonomies. ”By end of year, the expectation is to be 90 to 95 percent all across the board,” said Blake.
This article was first published on CIOupdate.com. To read the full article, click here.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.