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Full-Text Articles in Business
Understanding Generation: Implications For Flight Training, Hiring, And Retention, Kristine M. Kiernan Ph.D.
Understanding Generation: Implications For Flight Training, Hiring, And Retention, Kristine M. Kiernan Ph.D.
National Training Aircraft Symposium (NTAS)
Generation is a much discussed topic in the literature on workforce training and education. The simultaneous presence of numerous generations in the workforce has created tensions, challenges, and opportunities. In collegiate flight training, the Millennial generation is giving way to the post-Millennial generation, which will bring its own learning style and priorities to the cockpit. This presentation reviews the scientific literature on generational differences, identifying which differences are actually supported by data. Demographic and economic trends, including data from the National Science Foundation’s Scientists and Engineers Statistical Data System, will be combined with demonstrated generational differences in work-related attitudes and …
A Profile Of Project Manager Work Engagement: A Field Survey, Thomas G. Henkel, James W. Marion Jr, Debra T. Bourdeau
A Profile Of Project Manager Work Engagement: A Field Survey, Thomas G. Henkel, James W. Marion Jr, Debra T. Bourdeau
Publications
Engaged employees are those who are involved in, enthusiastic about, and committed to their work and who are most likely to drive innovation, generate new ideas, have a sense of connection with their work activities, and are involved with the demands of their job (Gallup, 2013). Nowhere is the concept of employee engagement more important than with managing an organization’s projects. Ensuring a project manager is emotionally engaged with his or her work is crucial for project success to meet greater challenges in today's 21st-century global marketplace. In this research study, project managers were asked to respond to an employee …
Detecting Deception In Asynchronous Text, Fletcher Glancy
Detecting Deception In Asynchronous Text, Fletcher Glancy
Annual ADFSL Conference on Digital Forensics, Security and Law
Glancy and Yadav (2010) developed a computational fraud detection model (CFDM) that successfully detected financial reporting fraud in the text of the management’s discussion and analysis (MDA) portion of annual filings with the United States Securities and Exchange Commission (SEC). This work extends the use of the CFDM to additional genres, demonstrates the generalizability of the CFDM and the use of text mining for quantitatively detecting deception in asynchronous text. It also demonstrates that writers committing fraud use words differently from truth tellers.