Knowledge Application Systems Overview

Database Mining

• Uses rule-inferencing and statistical analysis to analyze data.
• Helps infer new relationships in data, enhancing knowledge application systems.

Management Process

• Describes formation of project task force and organizational support for the project.

Knowledge Transfer Process

• Describes incentive systems to encourage user acceptance and support of knowledge application systems.
• Aims to ensure users contribute new cases to the case library.

Types of Knowledge Application Systems

• Help desk technologies for tracking calls and resolving customer service issues, aiding fault diagnosis.
• Just in Time (JIT) enables organizations to order according to sales orders received.
• Expert systems use rule-based systems to provide expert-level knowledge and decision-making.

Phoel's Eight Steps to Successful Storytelling

• Have a clear purpose.
• Identify an example of successful change.
• Tell the truth.
• Say who, what, when.
• Trim detail.
• Underscore the cost of failure.
• End on a positive note.
• Invite your audience to dream.

Four Kinds of Truth in Effective Stories

• Truth to the teller - the storyteller must be congruent to her story.
• Truth to the audience - the story must fulfill the listeners’ expectations by understanding what the listeners know, meeting their emotional needs, and telling the story in an interactive fashion.
• Truth to the moment - great storytellers prepare obsessively and never tell a story the same way twice.

Model Building and Validation

• Building an accurate model is a trial-and-error process.
• Once the model is determined, the validation data set is fed through the model.

Deployment

• Implementing the “live” model within an organization to aid decision-making.

Web Mining Techniques

• Linguistic Analysis/NLP identifies key concept descriptors from textual documents.
• Statistical and Co-occurrence Analysis uses link analysis to create conceptual associations for keyword concepts.
• Statistical and Neural Networks Clustering and Categorization groups similar documents into domain categories.
• Visualization and Human Computer Interfaces reveal conceptual associations in various dimensions.

Uses for Web Data Mining

• Web Structure Mining examines how Web documents are structured and attempts to discover the model underlying the links.
• Web Usage Mining identifies patterns in user navigation through Web pages to understand user behavior.
• Web Content Mining discovers the content and knowledge of a Web page by analyzing its text, images, audio, video, hyperlinks, and metadata.

Barriers to the Use of Knowledge Discovery Systems

• Data tombs or data stores are DM systems that remain unused.

Effects of Task Characteristics on KM Processes

• Explicit versus Tacit knowledge: Explicit knowledge can be easily communicated and shared, while tacit knowledge is more personal and difficult to articulate.
• Procedural versus Declarative knowledge: Procedural knowledge is about how to do something, while declarative knowledge is about facts and concepts.
• General versus Specific knowledge: General knowledge is applicable across situations, while specific knowledge is more context-dependent.

Effects of Organizational and Environmental Characteristics on KM Processes

• Organization Size influences the choice between supporting knowledge application through direction or routines, and knowledge sharing through socialization or exchange.
• Business Strategy affects whether to apply existing knowledge or focus on creating new knowledge.
• Environmental Uncertainty influences the relevance of knowledge sharing and capture processes.

KM Assessment

• Helps answer the question: What potentially valuable KM solutions do individuals and the organization lack?
• Supports making a business case to senior executives for investments in KM.
• Evaluates perceptions of improved KM, availability of knowledge, financial return, increased awareness of KM importance, recognition of different knowledge areas, knowledge sharing, and comfort level with KM concepts.

Overall Approaches for KM Assessment

• Benchmarking compares KM practices with other organizations or subunits.
• Balanced Scorecard examines goals, metrics, targets, and initiatives from four perspectives: customer, financial, internal business, and learning and growth.
• Intangible Assets Monitor Framework focuses on intangible knowledge assets.
• Skandia Navigator Method examines the past (financial), present (customers, people, processes), and future (renewal, development).
• Real Options Approach views KM initiatives as a portfolio of investments and focuses on the value-to-cost ratio.

Using KM as a Decision-Making Paradigm

• Wicked problems are unique and difficult to formulate, have solutions that are good or bad rather than true or false, generate consequences over time, have one-shot solutions, and may have no solutions.

Multiple Perspectives of Decision-Making

• Technical Perspective analyzes alternatives and implements solutions.
• Personal and Individual Perspective recognizes that each individual has unique experiences and perspectives.
• Organizational and Social Perspective acknowledges that each organization has its own perspective on a problem.
• Ethics and Aesthetics Perspective considers business ethics and aesthetic issues requiring stakeholder involvement.

Addressing Barriers to Knowledge Sharing and Creation

• Privacy Concerns can inhibit individuals from sharing knowledge within organizations and across boundaries.

This quiz covers various aspects of knowledge application systems, including database mining, management processes, and knowledge transfer. Dive into technologies that enhance data analysis and user engagement in organizational settings. Understand key methodologies for effective storytelling in knowledge sharing.