Business Intelligence Commons^™

Identification Of Employee Engagement Practices Viewed As Critical To Retention: A Cross-Generational Comparison, Sharon R. Floyd

Dissertations

Purpose. The purpose of this study was to identify the employee engagement practices that millennial IT workers perceive as important to retention. The secondary purpose of the study was to determine whether a difference exists between the engagement practices that appeal to millennial IT workers and the engagement practices that appeal to remaining IT working groups, which include the baby boomers and generation X.

Methodology. A quantitative, descriptive, survey-based research method was chosen for this study. The population included information technology workers representing three generations of working adults, including baby boomers, generation Xers, and millennials. The sample included technology workers …

Modeling Large-Scale Cross Effect In Co-Purchase Incidence: Comparing Artificial Neural Network Techniques And Multivariate Probit Modeling, Zhiguo Yang

Theses and Dissertations--Business Administration

This dissertation examines cross-category effects in consumer purchases from the big data and analytics perspectives. It uses data from Nielsen Consumer Panel and Scanner databases for its investigations. With big data analytics it becomes possible to examine the cross effects of many product categories on each other. The number of categories whose cross effects are studied is called category scale or just scale in this dissertation. The larger the category scale the higher the number of categories whose cross effects are studied. This dissertation extends research on models of cross effects by (1) examining the performance of MVP model across …

Feature Selection And Classification Methods For Decision Making: A Comparative Analysis, Osiris Villacampa

CCE Theses and Dissertations

The use of data mining methods in corporate decision making has been increasing in the past decades. Its popularity can be attributed to better utilizing data mining algorithms, increased performance in computers, and results which can be measured and applied for decision making. The effective use of data mining methods to analyze various types of data has shown great advantages in various application domains. While some data sets need little preparation to be mined, whereas others, in particular high-dimensional data sets, need to be preprocessed in order to be mined due to the complexity and inefficiency in mining high dimensional …

Motivating The Solicited And Unsolicited Sharing Of Tacit Knowledge Through The Process Of Externalization, Sheila Yvonne Sorensen

CCE Theses and Dissertations

While several U. S. firms have invested in Knowledge Management (KM) tools and software, it has become apparent that investments must be made in additional facets of KM, such as knowledge sharing (KS), thought by many researchers to be the most important component of KM. Of the two types of KS, explicit and tacit, the sharing of tacit knowledge has been shown to contribute the most to an organization’s performance. However, since tacit knowledge is difficult to both convey and acquire, this unshared tacit knowledge may ultimately harm an organization when, without the appropriate knowledge, individuals cannot effectively perform their …