Toward a Cloud Based Knowledge Management System of E-learning Best Practices

Implementing a performant knowledge management system in military institutions involves emphasizing the role of the organizational dimension that promotes learning, increasing the quality of employees' work and consolidating managers in these institutions as leaders who encourage learning at all levels. The objectives of knowledge acquisition must be defined in such a way as to improve performance and support the trust of the beneficiary of the public service provided. The development of organizational culture within the institution allows people to adopt new values, attitudes and behaviors. Investing in an efficient knowledge management system involves the development of training and education programs that contribute to improving the skills of employees and knowledge sharing both vertically and horizontally, in order to provide quality public service and create value within the community. Knowledge management can be implemented more efficiently and beneficially in the context of the increasing use of technology in educational activities. Thus, integration of e-learning in knowledge management systems allows the removal of space and time barriers from learning. The question is whether current e-learning systems meet the requirements of knowledge management and provide results comparable to those obtained through traditional learning.

Download Full-text

Knowledge Management Best Practices and Application in Field Development, IORs and Life-Cycle Reservoir Management

10.2118/205723-ms ◽

2021 ◽

Author(s):

Xiaoguang Lu

Keyword(s):

Knowledge Management ◽

Best Practices ◽

Knowledge Base ◽

Management System ◽

Reservoir Management ◽

Production Performance ◽

Knowledge Management System ◽

Recovery Factor ◽

Field Development ◽

Advanced Analytics

Abstract This paper presents a unique E&P knowledge management system which has been widely accepted and applied by upstream petroleum industry. This knowledge management system started in mid-1990s and consists of standard static and dynamic knowledge base, comprehensive evaluation reports, and fit-for-purpose analytics tools applicable to the entire E&P lifecycle. Emphasis is placed on illustrating the breadth and depth of the E&P knowledge and advanced analytics in terms of their capturing and applications in field development and production. This knowledge base consists of >1600 reservoirs from around the world, each containing ~400 reservoir-level static parameters and a set of dynamic performance data. The static parameter covers reservoir characteristics, fluid properties, original in-place volume, EUR, recovery factor, production-related data (such as well spacing, well pattern, well EUR et al.), reservoir management practices, and key IORs/EORs and their incremental recovery. The knowledge extraction process involves collecting, reviewing, and synthesizing geologic, reservoir engineering and production data on a representative sample of global reservoirs. The reliable, coherent, high-quality knowledge base provides a foundation for the development of primary recovery index using supervised machine learning. Insights and intelligence derived from this knowledge base are critical to decision-making for both initial or early field development and production stages. The development application includes, but not limited to: (1) quantifying in-place volume, EUR, and recovery factor; (2) characterizing possible production performance and uncertainties and obtaining a conceptual production performance curve; (3) validating development plan options; and (4) benchmarking reservoir simulation results. The production application includes: (1) benchmarking production performance; (2) identifying upside potential and improved oil recovery opportunities; (3) finding best practices and lessons learned in reservoir management and secondary recovery practice; and (4) screening EOR methods, calibrating potential incremental recovery and characterizing EOR process performance. Lack of knowledge standardization and absence of coherence of data from various data sources are the main challenges facing industry's data-driven application. The knowledge management system presented in this study provides the most reliable knowledge base, advanced analytics tools, and practical application workflow to help the upstream industry become more efficient in applying collective human intelligence.

Download Full-text

The Impact of Manager Influence Tactics on Innovation Implementation of a Knowledge Management System

International Journal of Innovation Science ◽

10.1260/1757-2223.6.4.185 ◽

2014 ◽

Vol 6 (4) ◽

pp. 185-204 ◽

Cited By ~ 4

Author(s):

Holly Chiu ◽

Joshua Fogel

Keyword(s):

Knowledge Management ◽

Management System ◽

Employee Attitudes ◽

Influence Tactics ◽

Learning System ◽

Knowledge Management System ◽

Innovation Implementation ◽

Implementation Phase ◽

E Learning ◽

The Impact

Innovations can bring desired benefits to organizations if implemented successfully. Managers are a critical factor for influencing employee attitudes and behavior for adoption of innovations. We study employee (n=237) attitudes and behaviors for 13 different manager influence tactics in the innovation implementation phase of an e-learning system, which is regarded as the knowledge management system, in a manufacturing company in Taiwan. With regard to attitudes toward using the e-learning system, the influence tactics of apprising and collaboration were significantly associated with increased attitudes, while exchange and pressure were significantly associated with decreased attitudes. With regard to two separate behavior outcomes of the number of e-learning courses taken and the number of times online, the influence tactics of coalition, collaboration, and pressure all had significant increased associations; while ingratiation, inspirational appeals, legitimating, and rational persuasion all had significant decreased associations. Also, the influence tactics of apprising and persistence had significant increased associations only for the number of e-learning courses taken. Managers attempting to adopt innovative practices should consider the importance of influence tactics when adopting innovative practices in the corporate workplace.

Download Full-text