Your search did not match any results.
We suggest you try the following to help find what you’re looking for:
Higher education HR leaders must make employee career development a priority while supporting the institution’s short- and long-term business goals. With Oracle Modern Best Practice, you can leverage mobile, social, analytics, big data, AI, machine learning (ML), and the cloud to easily define an official and tangible performance process that tracks measurable faculty and staff performance goals. Ensure that employee goals align with institution and department-level business objectives, such as improving student retention rates, student recruiting outcomes, and degree program expansions. Use private, secure, social collaboration to draft, review, and finalize individual career goals and update talent profiles when goals are met, such as research project status or competency rating changes. Use insight-driven data to easily identify and track faculty members who are aspiring to achieve tenure and proactively address faculty turnover by identifying scholars who may be at risk of leaving.
Define and align employee goals to institution objectives (e.g. new degree or specialty programs, research projects, increase enrollment, satellite campus expansions). Review goal progress with dashboards.
Faculty and staff review talent profile to cross reference evaluation with any relevant career goals. Employee shares with manager the first draft of objectives for achieving set goals (e.g. meet tenure track criteria, improve student satisfaction and retention, research projects).
Use embedded, secure social collaboration to enhance goal processes and increase likelihood of success. Goal processes can include professional designations, committee participation, and (re) certifications.
Faculty and staff conduct self-evaluation to measure performance on goals and competencies. Update talent profile with competency and career goal changes (e.g. completed doctoral degree to achieve tenure status).
Employee identifies and asks relevant third parties, co-workers, and colleagues (e.g. postdoctoral fellow, research project chair or partner) to provide feedback on individual performance.
Review colleague feedback, perform a fit/gap analysis on relevant pre-defined competencies and update evaluation. Provide performance reviews, finalize evaluation, and update career plan.
Predict voluntary turnover by analyzing factors, such as risk of leaving, tenure status, and performance (specialty courses taught versus student satisfaction scores) and determine which recommended pre-emptory actions to take.