Engineering Managementhttps://hdl.handle.net/1808/5922024-03-26T16:41:48Z2024-03-26T16:41:48ZMeasuring Customer Satisfaction to Assess the Effectiveness of Enterprise Account TeamsSchriner, Sabrahttps://hdl.handle.net/1808/340302023-03-08T07:05:37Z2007-12-14T00:00:00ZMeasuring Customer Satisfaction to Assess the Effectiveness of Enterprise Account Teams
Schriner, Sabra
2007-12-14T00:00:00ZImprovements of Existing Knowledge Management Practices in the Consumer Electronics IndustryKuehl, Dalton L.https://hdl.handle.net/1808/337582023-03-04T07:09:00Z2022-12-16T00:00:00ZImprovements of Existing Knowledge Management Practices in the Consumer Electronics Industry
Kuehl, Dalton L.
This Field Project report investigated best practices for Knowledge Management (KM) and Knowledge Management Systems (KMSs) and sought to devise a recommended action plan for the author's employer's existing KMS. A literature review was conducted to first establish a sampling of different methodologies that may be applicable to a given KMS. Upon review of the different methodologies and additional research sources, themes were identified in the literature. These themes and components were combined and summarized to present a list of key components that are present in the most successful KMSs. The research was then conducted in the following manner. First, a historical documentation review was completed to evaluate what the company originally aimed at accomplishing with the current KMS. This documentation review consisted of reviewing a former Field Project report in which the author's company's original KMS was established. In addition to the former Field Project, internal company documentation was reviewed to help understand the switch from one particular KMS software to another software during the life of the KMS. These two historical documents were then used to develop a survey to measure and evaluate the current KMS against the previously stated goals found in the documentation. The primary output of the report lies in the recommended action plan. The recommended action plan provides literature-backed guidance for implementing best practices based on the results of the survey and with respect to the former documentation.
2022-12-16T00:00:00ZImproving Control System Project Success with Front End Loading Risk AnalysisMaples, Billhttps://hdl.handle.net/1808/307592021-10-27T19:32:36Z2004-07-29T00:00:00ZImproving Control System Project Success with Front End Loading Risk Analysis
Maples, Bill
Front End Loading (FEL) has become a recognized and accepted method to improve the performance of process plant upgrade and construction projects. Likewise, FEL also is being used in the control system Industry to improve the outcome of process control projects. Process control system projects utilize newer technologies along with software, construction and communications. These projects frequently present technical challenges and hidden pitfalls when trying to meet project objectives. FEL methods have recently found success in these types of projects by identifying problems early. This paper focuses on FEL applied to Control System Projects. It presents a risk analysis approach to improve the process and demonstrates the application with two case studies.
2004-07-29T00:00:00ZApplications of Outlier and Anomaly Detection in Sponsored Search Advertising CampaignsPeck, Joshhttps://hdl.handle.net/1808/303402021-10-27T19:31:41Z2011-12-16T00:00:00ZApplications of Outlier and Anomaly Detection in Sponsored Search Advertising Campaigns
Peck, Josh
Organizations using sponsored search advertising rapidly find their staff overwhelmed with the amount of quantitative data available to them. One area that is often overlooked is management of dynamic change in the online marketplace. This research attempts to provide a predictive model to determine when an ad group is likely to decline in profitability. Correlation analysis shows that, at the ad group level, the advertising metric most predictive of change in 7-day profit margin is revenue-per-click (RPC). Additionally, the likelihood of a negative change in RPC predicting a negative change in 7-day profit margin can be as high as 76% when applying these methods to ad groups that have a high number of impressions. The likelihood of false positives is low (3%-7%) when the number of impressions is high, so applying these methods would likely yield an improvement in profit over ad-hoc analysis. The anomaly detection methods show considerably less effectiveness when applied to ad groups with fewer impressions and as such should not be used in an unsupervised manner without further research.
2011-12-16T00:00:00Z