Business Commons^™

An Integrated View Of Knowledge Management Enablers, Components, And Benefits: Comprehensive Literature Review, Shuaibu Hassan Usman, Jigish Zaveri, Aminu Hamza

Journal of International Technology and Information Management

The key to success in the 21^st century, knowledge-based economy, will be the effective and efficient management of knowledge. Knowledge Management (KM) has a direct impact on organizational success. KM in a knowledge-based economy entails growth, value, and improving living standards through knowledge creation, storage, and dissemination. This study aims to integrate KM enablers, components, and benefits into a single view through a comprehensive literature search. The integrative view of these three factors would facilitate the understanding of KM initiatives within organizations. This paper performs a comprehensive literature review to explain the KM enablers, components, and benefits. From the …

A Sustainability-Based Project Selection Algorithm: Socio-Technical-Economic Project Selection (Steps) Algorithm, Bharathi Bhattu

Dissertations, Master's Theses and Master's Reports

Multi-dimensional aspects play a vital role in the task of project-decision making. Environmental effects are to be considered in addition to other technical and non-technical aspects in order to avoid undue environmental damage. This current work introduces a new decision-making algorithm (Socio-Technical-Economic Project Selection or STEPS) that is demonstrated with the use of RCA (recycled concrete aggregate) as riprap for slope stabilization and erosion control which leaches chemical arsenic when in contact with water. Arsenic has long been recognized for its lethal properties. The main intention of introducing this new algorithm is to use sustainability concepts of social, technical, and …

The Implications Of Self-Driving Cars On Insurance, Amanda Lobello

Honors Projects in Mathematics

Self-driving cars, also known as autonomous vehicles, are being researched and tested by automakers, technology industry leaders, and other institutions. Lawmakers and politicians are discussing the legislation that will affect the fate of such technology. Primary benefits include safety, mobility, free time, less traffic, and green effects. However, there are also obstacles to the implementation of self-driving vehicles including consumer acceptance, legal liability, and cost. With the potential shift in responsibility from driver to automaker, rating factors for insurance may change, weighing more heavily on the model of the car as a factor. The fate of auto insurance is in …

Slides: Adapting To Climate Change: Lessons Learnt From The Australian Water Experience, Will Fargher

Conversation with Water Management Reps from Colorado and Australia: "Adapting to Climate Change: Lessons Learned from Australia" (February 14)

Presenter: Will Fargher, National Water Commission, Australian Government

18 slides [4 have titles only and are missing images]

Agenda: Best Practices For Community And Environmental Protection, University Of Colorado Boulder. Natural Resources Law Center. Intermountain Oil And Gas Bmp Project, Colorado. Oil And Gas Conservation Commission

Best Practices for Community and Environmental Protection (October 14)

The first Intermountain BMP Project workshop, sponsored by the Natural Resources Law Center and the Colorado Oil and Gas Conservation Commission, was held in Rifle, Colorado on October 14, 2009 at the Garfield County Fairground for over 170 participants.

Speakers from Federal, state and local governments, the community, industry and environmental consultants, and conservation groups focused presentations and discussion on a greater understanding of what Best Management Practices (BMPs) are appropriate to the western slope of Colorado and how they are integrated into developments.

Logistics Network Design With Differentiated Delivery Lead Time: A Chemical Industry Case Study, Michelle Lee Fong Cheong, Rohit Bhatnagar, Stephen C. Graves

Research Collection School Of Computing and Information Systems

Most logistics network design models assume exogenous customer demand that is independent of the service time or level. This paper examines the benefits of segmenting demand according to lead-time sensitivity of customers. To capture lead-time sensitivity in the network design model, we use a facility grouping method to ensure that the different demand classes are satisfied on time. In addition, we perform a series of computational experiments to develop a set of managerial insights for the network design decision making process.