Michael Joseph Calderaro - Austin TX, US Robert John Castro - Raleigh NC, US Corrine Glavin Krumenacker - Raleigh NC, US Lynn P. Lepore - Round Rock TX, US Patricia E. Vickers - Cedar Park TX, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 17/60
US Classification:
705 11, 705 7, 705 1
Abstract:
A system and method for improved matrix management of personnel planning factors is provided. In modern organizations using matrix management, one employee may be managed by several managers. Each employee has an employee profile data area that is used to store planning data and actual data corresponding to the employee. Planning data includes risk analysis data, compensation data, and development planning data. Actual data includes current compensation data and performance data. Managers' input regarding a common employees performance and planning factors is converted to a single performance evaluation and single set of planning factors by weighting the evaluation and factors by a percentage corresponding to each manager. Online collaboration between managers is provided to discuss employee contributions and revise planning factors and evaluations as needed. Revised data is displayed on each of the manager's systems in response to the revisions.
System And Method For Organizational Risk Based On Personnel Planning Factors
Michael Joseph Calderaro - Austin TX, US Robert John Castro - Raleigh NC, US Corrine Glavin Krumenacker - Raleigh NC, US Lynn P. Lepore - Round Rock TX, US Patricia E. Vickers - Cedar Park TX, US Catherine Marshall Baritell - Raleigh NC, US Ann Haigler Spivey - Raleigh NC, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 17/30
US Classification:
705 10
Abstract:
A system and method for organizational risk based on personnel planning factors is provided. Each employee has an employee profile data area that is used to store planning data and actual data corresponding to the employee. Planning data includes risk analysis data, compensation data, and development planning data. Actual data includes current compensation data and performance data. Inhibitors and motivators corresponding to employees is used to determine a flight risk that pertains to the employee. A contribution level, corresponding to the employee's contribution to the organization, is analyzed along with the flight risk to determine a risk quadrant that is assigned to the employee. Managers can select a risk quadrant and obtain information about common inhibitors and motivators. Incentive data, such as stock options, compensation, and awards, is planned in light of an employee's risk quadrant in order to motivate high contributors to remain with the organization.
System And Method For Integrated Management Of Personnel Planning Factors
Michael Calderaro - Austin TX, US Robert Castro - Raleigh NC, US Corrine Krumenacker - Raleigh NC, US Lynn Lepore - Round Rock TX, US William Ordway - Smithfield NC, US Patricia Vickers - Cedar Park TX, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F017/60
US Classification:
705/001000, 705/007000
Abstract:
A system and method for integrated management of personnel planning factors is described. Each employee has an employee profile data area that is used to store planning data and actual data corresponding to the employee. Planning data includes risk analysis data, compensation data, and development planning data. Actual data includes current compensation data and performance data. Tools are available to analyze an employee in light of other employees in the organization. When planning factors are finalized, certain planning factors, such as compensation and stock options, are copied to the employee's actual data area in order to effectuate the changes. Management collectively views groups of employees and collaborates with regards to evaluating and rewarding the employees. Budget data, for example pertaining to salaries, is disseminated from upper layers of management to immediate managers. Budget data is compared with planned data to rectify any variances between the budget and plan.
System And Method For Improved Performance Reviews
Michael Calderaro - Austin TX, US Robert Castro - Raleigh NC, US Corrine Krumenacker - Raleigh NC, US Lynn Lepore - Round Rock TX, US William Ordway - Smithfield NC, US Patricia Vickers - Cedar Park TX, US
Assignee:
International Business Machines Corporation
International Classification:
G06F017/60
US Classification:
705/011000
Abstract:
A system and method for improved performance reviews is provided. Each employee has an employee profile data area that is used to store planning data and actual data corresponding to the employee. Planning data includes risk analysis data, compensation data, and development planning data. Actual data includes current compensation data and performance evaluation data. Tools are available to compare a selected employee with other employees based on the evaluations and planning data. Discrepancies between employees are rectified by adjusting evaluations or planning factors corresponding to one or more employees. Employee performance is also analyzed based on the contribution level of the employee and the planned rewards for the employee. Performance reviews can also be simultaneously reviewed by a group of managers that manage a group of employees. Data pertaining to employees can be changed by the employee's manager and the effect of the changes are displayed on each manager's display.
System And Method For Improved Personnel Compensation Planning Factors
Michael Calderaro - Austin TX, US Robert Castro - Raleigh NC, US Corrine Krumenacker - Raleigh NC, US Lynn Lepore - Round Rock TX, US William Ordway - Smithfield NC, US Patricia Vickers - Cedar Park TX, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F017/60
US Classification:
705/036000, 705/035000
Abstract:
A system and method for improved personnel compensation planning factors is provided. Each employee has an employee profile data area that is used to store planning data and actual data corresponding to the employee. Planning data includes risk analysis data, compensation data, and development planning data. Actual data includes current compensation data and performance data. Compensation data pertaining to an employee can be analyzed using organizational and regional benchmarks. For example, average salaries for workers with similar job characteristics is compared to the worker to determine whether compensation adjustments are warranted. Compensation data for a group of employees, such as a department, can be aggregated and compared with budgets that apply to the group. Variances between planned compensation and the budgets can be rectified by adjusting the compensation planning data. Compensation planning factors can include salary, stock options, and awards.
System And Method For Personnel Management Collaboration
Michael Calderaro - Austin TX, US Robert Castro - Raleigh NC, US Corrine Krumenacker - Raleigh NC, US Lynn Lepore - Round Rock TX, US William Ordway - Smithfield NC, US Patricia Vickers - Cedar Park TX, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F007/00
US Classification:
707/104100
Abstract:
A system and method for personnel management collaboration is provided. Each employee has an employee profile data area that is used to store planning data and actual data corresponding to the employee. Planning data includes risk analysis data, compensation data, and development planning data. Actual data includes current compensation data and performance data. A management team may have a common project manager with many department managers. The project manager selects employees normally included in the project manager's view, such as the department managers, and excludes them to form a new view in order to protect the confidentiality of the department manager's data. The new view can be shared amongst the department managers without compromising confidentiality. Employee data pertaining to employees reporting to the department managers is still included in the view for collaborative management meetings and online discussions. Changes to employee data are visible to all of the managers.
Ibm
Business and Technical Leadership Partner
Ibm Feb 2009 - Jul 2012
Global Diversity Program Manager - Work and Life and Global Diversity Budget Program Manager
Ibm 2006 - 2009
Dependent Care Program Manager For North America
Ibm 2003 - 2005
Equal Opportunity Compliance Manager
Ibm 1999 - 2003
Human Resources Business Partner and Generalist
Education:
Syracuse University - Martin J. Whitman School of Management 1995 - 1997
Master of Business Administration, Masters, Human Resources
University of Notre Dame 1985 - 1989
Bachelors, Business Administration, Marketing
Skills:
Talent Management Management Recruiting Human Resources Succession Planning Leadership Change Management Project Management Business Process Improvement Performance Management Personnel Management Employee Engagement Process Improvement Strategy Organizational Development Training Coaching Employee Relations Workforce Planning Organizational Effectiveness Organizational Design Vendor Management Financial Reporting Generalist
Interests:
Children Civil Rights and Social Action Education Environment Poverty Alleviation Disaster and Humanitarian Relief Human Rights Health
Languages:
English
Certifications:
Disruptive Hr In A Cognitive Era Blue Core Coach
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