Impact of Employee Intrinsic Motivation on Performance in E-learning Courses in the Workplace

Many organizations use formal training to improve employee performance and it is common for organizations to deliver this training using e-learning technologies (Aguinis & Kraiger, 2009; Buxton & DeMuth, 2012). Whether the instruction is through e-learning technologies or traditional methods, employees that are not intrinsically motivated are less likely to perform to their potential. When learning activities are interesting and allow for employee choice, intrinsic motivation is enhanced, which results in more engaged, and higher performing employees (Cordova & Lepper, 1996; Coutts, Gilleard & Baglin, 2011). This study evaluated the relationship between dimensions of intrinsic motivation and the impact on employee performance in self-directed, e-learning courses using a web-based survey, adapted from the Intrinsic Motivation Inventory (IMI), and archival performance data. Sixty-nine employees of Futurestep were asked to complete this 21-question web-based survey that asked questions about their experience as they completed activities in the e-learning courses. This study found that there was no significant relationship between intrinsic motivation and performance; however, there were significant relationships found between the dimensions of intrinsic motivation. The more pressure an employee felt to perform, the lower interest s/he had in that activity and the less perceived choice s/he felt. The results of this study benefit organizations that use e-learning training programs. Having a better understanding of how different dimensions of intrinsic motivation can influence employee motivation to participate and perform on workplace training activities can result in higher performing employees.Curriculum and Instruction, Department o

A cost estimating framework for electronic, electrical and electromechanical (EEE) components obsolescence within the use-oriented product-service systems contracts

This paper provides a cost estimating framework for electrical, electronic and electromechanical (EEE) components obsolescence, which represents the main source of obsolescence issues, owing to the increasingly short life cycle of these types of component. The framework comprises several areas: component complexity levels, obsolescence management levels, obsolescence resolution profiles and obsolescence cost metrics. Several studies, based on the literature and on interaction with numerous obsolescence management experts from industry, have been employed in this research, following a systematic approach. The framework is able to estimate the non-recurring cost of obsolescence during the contracted period within the inservice phase. This is based on the information available at the bidding stage concerning the product breakdown structure (PBS) and the obsolescence management strategy deployed. This framework has been validated at four different UK organizations in the defence and aerospace sectors using seven case studies, one of which is presented in this paper in detail

Autosomal Recessive Polycystic Kidney Disease Epithelial Cell Model Reveals Multiple Basolateral Epidermal Growth Factor Receptor Sorting Pathways

We have discovered that multiple basolateral pathways mediate EGF receptor sorting in renal epithelial cells. The polycystic kidney disease allele in the BPK mouse model, Bicc1, interferes with one specific EGF receptor pathway, causing nonpolar delivery of the receptor without affecting overall cell polarity