<p> The purpose of this study was to identify and prioritize a list of implementation risk factors and suggested mitigation measures for the development team of the California Community Colleges (CCC) Online Education Initiative (OEI) to improve the probability of successful implementation. This study led to the development of an authoritative and comprehensive prioritized list of risk factors and user-recommended mitigation strategies for the risks of a large-scale shared learning management system (LMS) implementation. The data collected and the conclusions derived from surveying college administrators and faculty are intended to augment the literature as well as advance the understanding of how to successfully implement a new shared LMS of this scale successfully. The participants in the policy Delphi study were 10 administrators, 10 full-time faculty members, and 7 adjunct faculty members from the cohort of the first colleges accepted to adopt the OEI. Two rounds of questionnaires were administered using the online electronic survey program SurveyMonkey. The first round asked participants to prioritize software implementation risk factors and make mitigation suggestions for the highest priority risks. The second round asked participants to rank the mitigation suggestions for the top 10 risks identified in the first round. Only 2 of the top 10 risk factors were statistically significant: underfunding of maintenance and support, and lack of faculty and staff responsibility, ownership, and buy-in for the project. There were no statistically significant differences in risk factor assessments based on job type, length of time in job, legacy LMS, legacy LMS experience, or size of college. OEI leadership and colleges should evaluate and implement the top mitigation suggestions for at least the first 2 risk factors and preferably all of the top 10. Engaging the early adopters in assessing potential implementation risks, prioritizing them, brainstorming mitigation measures, and prioritizing those measures yielded an actionable list the team can use to reduce implementation risks and improve the probability of success of the new OEI system.</p>
| Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:3685792 |
| Date | 24 March 2015 |
| Creators | Conrad, Scott |
| Publisher | Brandman University |
| Source Sets | ProQuest.com |
| Language | English |
| Detected Language | English |
| Type | thesis |
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