The document discusses the key steps in developing a knowledge management (KM) system, including evaluating existing infrastructure, capturing knowledge from experts, designing the KM system blueprint, testing and implementing the system, training users, and evaluating post-implementation. It emphasizes capturing both explicit and tacit knowledge through methods like interviewing and data mining. Rapid prototyping allows iterative development and input from experts. Developing a KM team, selecting experts, and defining the knowledge developer's role are also important initial steps.
Knowledge management systems life cycleRaymond Koh
1) The document discusses the differences between conventional system life cycles and knowledge management system (KMS) life cycles.
2) It outlines the steps in a KMS life cycle including evaluating existing infrastructure, capturing knowledge, designing a blueprint, testing and implementing the system.
3) Key aspects of building a successful KMS include forming a knowledgeable team, gaining support from experts, and using a knowledge developer to architect the system and facilitate knowledge capture and transfer.
1) The document discusses knowledge management systems and knowledge-based expert systems. It describes key capabilities like leveraging existing knowledge and creating new knowledge to position companies favorably in markets.
2) Important reasons for actively managing knowledge are to facilitate decision-making, build learning organizations, and stimulate cultural change and innovation.
3) Expert systems provide high quality performance solving difficult problems like human experts through vast domain knowledge and explanation capabilities.
The document outlines 5 generic competitive strategies: 1) low-cost provider, 2) broad differentiation, 3) market focused cost, 4) market focused niche, and 5) best cost provider. It describes the target markets and strategic inputs for each. While the differences between the strategies may seem subtle, they are significant for strategic planning as they relate to gaining a competitive advantage through unique product positioning based on price, value, quality and performance. The competitive strategy likely sets the organizational mission and vision, as the entire organization must work together to deliver the level of quality and performance consistent with the business strategy.
The document discusses the roles and attributes of knowledge leaders. It states that knowledge leaders are essential for establishing knowledge management (KM) in an organization. They provide vision, energy and enthusiasm to implement KM. Their roles vary by organization but they play an important part in building knowledge communities and communicating the complex framework of KM. Knowledge leadership draws from various disciplines like librarianship, information technology, human resources, and business management. The document also outlines the roles of knowledge leaders in developing organizational systems, culture, support, capabilities, and structure to support KM.
There are two main theories of stakeholder management: Milton Friedman's theory that only shareholders matter, and Freeman's theory that all stakeholder groups are important to manage. Freeman argued that identifying and managing stakeholders is important for a corporation's consent to operate from the community. Key stakeholder groups include investors, employees, suppliers, customers, and governments. Effective stakeholder management involves identifying stakeholder groups, their interests, and priorities; communicating with them through appropriate channels; and integrating stakeholder analysis into strategic planning and issues management.
Lecture 3 - KNOWLEDGE CREATION AND KNOWLEDGE MANAGEMENT ARCHITECTUREMobi Marketing
The document discusses knowledge creation and knowledge architecture. It covers challenges in building knowledge management systems, compares knowledge management system life cycles, and outlines an 8 stage knowledge management system life cycle. It also discusses knowledge creation, infrastructure, architecture, and whether to build or buy a knowledge management system. Finally, it presents models for knowledge conversion and a 7 layer knowledge management system architecture.
This document summarizes and compares several knowledge management models:
- The KM Process Framework by Bukowitz and Williams (1999) outlines four stages - get, use, learn, contribute - and emphasizes the strategic focus and context of KM.
- The KM Matrix by Gamble and Blackwell (2001) splits the KM process into four stages: locating knowledge sources, organizing knowledge, socialization, and internalization. It provides guidelines for KM implementation but focuses only on knowledge sharing.
- The Knowledge Management Process Model by Botha et al (2008) presents KM as three overlapping categories - technology, people, and processes - and includes knowledge creation, but like the other models it lacks strategic context.
Knowledge management systems life cycleRaymond Koh
1) The document discusses the differences between conventional system life cycles and knowledge management system (KMS) life cycles.
2) It outlines the steps in a KMS life cycle including evaluating existing infrastructure, capturing knowledge, designing a blueprint, testing and implementing the system.
3) Key aspects of building a successful KMS include forming a knowledgeable team, gaining support from experts, and using a knowledge developer to architect the system and facilitate knowledge capture and transfer.
1) The document discusses knowledge management systems and knowledge-based expert systems. It describes key capabilities like leveraging existing knowledge and creating new knowledge to position companies favorably in markets.
2) Important reasons for actively managing knowledge are to facilitate decision-making, build learning organizations, and stimulate cultural change and innovation.
3) Expert systems provide high quality performance solving difficult problems like human experts through vast domain knowledge and explanation capabilities.
The document outlines 5 generic competitive strategies: 1) low-cost provider, 2) broad differentiation, 3) market focused cost, 4) market focused niche, and 5) best cost provider. It describes the target markets and strategic inputs for each. While the differences between the strategies may seem subtle, they are significant for strategic planning as they relate to gaining a competitive advantage through unique product positioning based on price, value, quality and performance. The competitive strategy likely sets the organizational mission and vision, as the entire organization must work together to deliver the level of quality and performance consistent with the business strategy.
The document discusses the roles and attributes of knowledge leaders. It states that knowledge leaders are essential for establishing knowledge management (KM) in an organization. They provide vision, energy and enthusiasm to implement KM. Their roles vary by organization but they play an important part in building knowledge communities and communicating the complex framework of KM. Knowledge leadership draws from various disciplines like librarianship, information technology, human resources, and business management. The document also outlines the roles of knowledge leaders in developing organizational systems, culture, support, capabilities, and structure to support KM.
There are two main theories of stakeholder management: Milton Friedman's theory that only shareholders matter, and Freeman's theory that all stakeholder groups are important to manage. Freeman argued that identifying and managing stakeholders is important for a corporation's consent to operate from the community. Key stakeholder groups include investors, employees, suppliers, customers, and governments. Effective stakeholder management involves identifying stakeholder groups, their interests, and priorities; communicating with them through appropriate channels; and integrating stakeholder analysis into strategic planning and issues management.
Lecture 3 - KNOWLEDGE CREATION AND KNOWLEDGE MANAGEMENT ARCHITECTUREMobi Marketing
The document discusses knowledge creation and knowledge architecture. It covers challenges in building knowledge management systems, compares knowledge management system life cycles, and outlines an 8 stage knowledge management system life cycle. It also discusses knowledge creation, infrastructure, architecture, and whether to build or buy a knowledge management system. Finally, it presents models for knowledge conversion and a 7 layer knowledge management system architecture.
This document summarizes and compares several knowledge management models:
- The KM Process Framework by Bukowitz and Williams (1999) outlines four stages - get, use, learn, contribute - and emphasizes the strategic focus and context of KM.
- The KM Matrix by Gamble and Blackwell (2001) splits the KM process into four stages: locating knowledge sources, organizing knowledge, socialization, and internalization. It provides guidelines for KM implementation but focuses only on knowledge sharing.
- The Knowledge Management Process Model by Botha et al (2008) presents KM as three overlapping categories - technology, people, and processes - and includes knowledge creation, but like the other models it lacks strategic context.
Management Information Systems focuses on how information systems are transforming business today. Businesses invest heavily in information systems to achieve six strategic objectives: operational excellence, new products/services, customer/supplier intimacy, improved decision making, competitive advantage, and survival. Achieving these objectives requires complementary investments in organizational and managerial assets alongside technology. An information system is defined as a set of components that collect, process, store and distribute information to support decision making across organizational levels and business functions.
The document discusses knowledge management architecture, which consists of four main elements: knowledge components, knowledge management processes, information technology, and organizational aspects. It defines each of these elements and provides examples. For knowledge components, it includes knowledge definition and categories. For processes, it lists the typical steps like knowledge discovery, organization, sharing, reuse, creation and acquisition. It also outlines characteristics of a successful KM architecture like availability, accuracy, effectiveness and accessibility of knowledge.
The document discusses knowledge management and its importance for organizational success. It describes how knowledge management can help organizations bridge various gaps between data, information, knowledge, actions, and results. Specifically, it addresses how knowledge management deals with the entire cycle from acquiring data to achieving results, whereas information management only addresses part of that cycle. Finally, it emphasizes that knowledge management should be managed from a results perspective to fully leverage its benefits.
It gives a detailed description of the term corporate governance. It also helps us to understand the phenomenon of corporate governance. This topic comes under arts and sciences which is available to study or research.
The document discusses knowledge management (KM) cycles and models. It describes several KM cycle models including those proposed by Zack, Bukowitz and Williams, McElroy, and Wiig. These models involve capturing, codifying, sharing, and applying knowledge. An effective KM cycle identifies valuable knowledge, translates it into an explicit form that can be disseminated, and validates knowledge claims. The integrated KM cycle combines advantages of other models through stages of knowledge capture and creation, sharing and dissemination, and acquisition and application.
Session on Strategic Management for Management Students, helping them understand basic concepts in the area of strategy formulation for the organizations.
Lecture 2 - KNOWLEDGE MANAGEMENT SYSTEMS LIFE CYCLEMobi Marketing
The document discusses the knowledge management systems life cycle (KMSLC), which involves several stages: evaluating existing infrastructure, forming a KM team, capturing knowledge, designing the KM blueprint through iterative prototyping, verifying and validating the system, implementing it, and managing change. It compares the KMSLC to the conventional systems life cycle and notes key differences like the iterative nature and emphasis on knowledge capture in the KMSLC. It also examines challenges in building KM systems and characteristics of users versus experts.
The document discusses various methods for valuing brands, including cost-based, income-based, and market-based approaches. It provides details on specific valuation techniques like book value, replacement cost, earnings capitalization, and relative valuation methods. Brand valuation considers factors like brand positioning, personality, and equity. As intangible assets become more important, managers will need systems to link brand management to long-term financial performance and value creation. Developing standardized economic approaches to brand valuation can provide important tools for management.
Brand management is the analysis and planning on how that brand is perceived in the market. Developing a good relationship with the target market is essential for brand management. Tangible elements of brand management include the product itself; look, price, the packaging, etc. The intangible elements are the experience that the consumer has had with the brand, and also the relationship that they have with that brand.Brand management is a function of marketing that uses special techniques in order to increase the perceived value of a product
What is knowledge management System?
History of knowledge management system.
Knowledge Management Life-cycle.
Scope of knowledge management.
The Different Types of Knowledge.
Knowledge Management Framework.
Benefits of a Knowledge management System within an Organization.
Technologies for Knowledge Management.
Knowledge Management Value chain.
Knowledge Networking System.
MIS
This document discusses knowledge organization. It defines a knowledge organization as one that uses systems and processes to generate, transform, manage, use and transfer knowledge to achieve organizational goals. It outlines the key functions of a knowledge organization as generating content, transforming content into products/services, preserving and managing content, using content to achieve goals, and transferring content externally. It also discusses the history and development of knowledge organizations since the 1970s. Finally, it identifies six key processes in knowledge organization: knowledge discovery and detection; knowledge organization and assessment; knowledge sharing; knowledge reuse; knowledge creation; and knowledge acquisition.
The document summarizes several frameworks for knowledge management strategies proposed by different researchers. Hansen identified two main strategies - codification and personalization. Earl then proposed seven schools of knowledge management that fall under technocratic, economic, and behavioral categories. Alvesson and Karreman described four knowledge management orientations based on modes of interaction and managerial intervention. The document analyzes each framework in detail.
Tutor version slides seminar 3 intellectual capitalmoduledesign
This seminar discusses knowledge management strategies at Infosys. It addresses three main topics:
1) Critically discussing Infosys' current and future strategy, and advising its CEO on overreliance on technology and moving cautiously given global economic uncertainty.
2) Suggesting operational measures like communities of practice and just-in-time knowledge systems to overcome information overload among staff resulting from KShop.
3) Recommending cultural changes like greater local presence and staff with local cultural sensitivities if Infosys wants to provide strategic consulting services internationally.
This document discusses strategic knowledge management. It explains that strategic knowledge management involves developing, implementing, and maintaining an effective organizational knowledge management system. It requires attention to five areas: planning, people, processes, products, and performance. The document also outlines phases of knowledge development including sourcing, abstraction, conversion, diffusion, and refinement. It describes how knowledge management infrastructure, knowledge workers, knowledge objects, and intellectual property play roles in strategic knowledge management.
This presentation covers the short description of Consumer Behavior- Perception and Learning, complemented by examples and Case studies. Prepared by Jasleen Kaur and Ishika, MBA, Indira Gandhi Delhi Technical University for Women, using Canva free version.
Organizations implementing knowledge strategies generally go through five stages: pre-implementation, implementation, reinvigoration, inculcation, and holistic. This presentation details steps ADB took in 2008–2011 to initiate, develop, standardize, optimize, and innovate knowledge management and learning.
This document discusses ethical practices in the Indian corporate sector. It outlines types of ethical practices like justice, integrity, confidentiality and self-control. It emphasizes the importance of ethics for attracting customers, employees and investors. The document also examines the need for defining corporate accountability and moving beyond just adopting ethics codes. It proposes a code of ethics for Indian industry that ensures inclusive, accountable and transparent business standards. While some Indian IT companies like Wipro, Tata Steel and HDFC follow strong ethical practices, the document notes that India overall still lacks business ethics due to cultural and trust issues.
The document discusses Michael Porter's value chain analysis framework. It describes how the value chain depicts how customer value is created through a series of activities from inputs to outputs. A value chain analysis examines each subsystem and activity in a supply chain to deliver maximum value at lowest cost. The chain consists of primary activities like inbound logistics, operations, outbound logistics, marketing and sales, and service, as well as support activities that support the primary activities. Analyzing a firm's value chain compared to competitors can reveal sources of competitive advantage. The analysis is used to identify strengths, weaknesses, and opportunities to improve value creation.
This document discusses an upcoming team project to develop an inventory information system using MS Access. It outlines the project deliverables, including business requirements, an ER diagram, and the completed information system. It also provides background on topics like the importance of teamwork, challenges of systems development projects, and the systems development lifecycle approach. Effective teams are those where members understand their unique roles and contribute to goals. Requirements determination, changing needs, and coordinating virtual teams are some difficult aspects of systems projects.
management system development and planningmilkesa13
The document discusses systems development and the systems development lifecycle (SDLC). It describes the SDLC as having sequential phases including systems investigation, analysis, design, programming, testing, implementation, operation, and maintenance. The goal of the SDLC is to ensure high quality systems are delivered on time and budget by providing strong project management controls. Key activities in the SDLC include requirements gathering, logical and physical design, prototyping, various testing approaches, and implementation strategies like parallel and phased conversions.
Management Information Systems focuses on how information systems are transforming business today. Businesses invest heavily in information systems to achieve six strategic objectives: operational excellence, new products/services, customer/supplier intimacy, improved decision making, competitive advantage, and survival. Achieving these objectives requires complementary investments in organizational and managerial assets alongside technology. An information system is defined as a set of components that collect, process, store and distribute information to support decision making across organizational levels and business functions.
The document discusses knowledge management architecture, which consists of four main elements: knowledge components, knowledge management processes, information technology, and organizational aspects. It defines each of these elements and provides examples. For knowledge components, it includes knowledge definition and categories. For processes, it lists the typical steps like knowledge discovery, organization, sharing, reuse, creation and acquisition. It also outlines characteristics of a successful KM architecture like availability, accuracy, effectiveness and accessibility of knowledge.
The document discusses knowledge management and its importance for organizational success. It describes how knowledge management can help organizations bridge various gaps between data, information, knowledge, actions, and results. Specifically, it addresses how knowledge management deals with the entire cycle from acquiring data to achieving results, whereas information management only addresses part of that cycle. Finally, it emphasizes that knowledge management should be managed from a results perspective to fully leverage its benefits.
It gives a detailed description of the term corporate governance. It also helps us to understand the phenomenon of corporate governance. This topic comes under arts and sciences which is available to study or research.
The document discusses knowledge management (KM) cycles and models. It describes several KM cycle models including those proposed by Zack, Bukowitz and Williams, McElroy, and Wiig. These models involve capturing, codifying, sharing, and applying knowledge. An effective KM cycle identifies valuable knowledge, translates it into an explicit form that can be disseminated, and validates knowledge claims. The integrated KM cycle combines advantages of other models through stages of knowledge capture and creation, sharing and dissemination, and acquisition and application.
Session on Strategic Management for Management Students, helping them understand basic concepts in the area of strategy formulation for the organizations.
Lecture 2 - KNOWLEDGE MANAGEMENT SYSTEMS LIFE CYCLEMobi Marketing
The document discusses the knowledge management systems life cycle (KMSLC), which involves several stages: evaluating existing infrastructure, forming a KM team, capturing knowledge, designing the KM blueprint through iterative prototyping, verifying and validating the system, implementing it, and managing change. It compares the KMSLC to the conventional systems life cycle and notes key differences like the iterative nature and emphasis on knowledge capture in the KMSLC. It also examines challenges in building KM systems and characteristics of users versus experts.
The document discusses various methods for valuing brands, including cost-based, income-based, and market-based approaches. It provides details on specific valuation techniques like book value, replacement cost, earnings capitalization, and relative valuation methods. Brand valuation considers factors like brand positioning, personality, and equity. As intangible assets become more important, managers will need systems to link brand management to long-term financial performance and value creation. Developing standardized economic approaches to brand valuation can provide important tools for management.
Brand management is the analysis and planning on how that brand is perceived in the market. Developing a good relationship with the target market is essential for brand management. Tangible elements of brand management include the product itself; look, price, the packaging, etc. The intangible elements are the experience that the consumer has had with the brand, and also the relationship that they have with that brand.Brand management is a function of marketing that uses special techniques in order to increase the perceived value of a product
What is knowledge management System?
History of knowledge management system.
Knowledge Management Life-cycle.
Scope of knowledge management.
The Different Types of Knowledge.
Knowledge Management Framework.
Benefits of a Knowledge management System within an Organization.
Technologies for Knowledge Management.
Knowledge Management Value chain.
Knowledge Networking System.
MIS
This document discusses knowledge organization. It defines a knowledge organization as one that uses systems and processes to generate, transform, manage, use and transfer knowledge to achieve organizational goals. It outlines the key functions of a knowledge organization as generating content, transforming content into products/services, preserving and managing content, using content to achieve goals, and transferring content externally. It also discusses the history and development of knowledge organizations since the 1970s. Finally, it identifies six key processes in knowledge organization: knowledge discovery and detection; knowledge organization and assessment; knowledge sharing; knowledge reuse; knowledge creation; and knowledge acquisition.
The document summarizes several frameworks for knowledge management strategies proposed by different researchers. Hansen identified two main strategies - codification and personalization. Earl then proposed seven schools of knowledge management that fall under technocratic, economic, and behavioral categories. Alvesson and Karreman described four knowledge management orientations based on modes of interaction and managerial intervention. The document analyzes each framework in detail.
Tutor version slides seminar 3 intellectual capitalmoduledesign
This seminar discusses knowledge management strategies at Infosys. It addresses three main topics:
1) Critically discussing Infosys' current and future strategy, and advising its CEO on overreliance on technology and moving cautiously given global economic uncertainty.
2) Suggesting operational measures like communities of practice and just-in-time knowledge systems to overcome information overload among staff resulting from KShop.
3) Recommending cultural changes like greater local presence and staff with local cultural sensitivities if Infosys wants to provide strategic consulting services internationally.
This document discusses strategic knowledge management. It explains that strategic knowledge management involves developing, implementing, and maintaining an effective organizational knowledge management system. It requires attention to five areas: planning, people, processes, products, and performance. The document also outlines phases of knowledge development including sourcing, abstraction, conversion, diffusion, and refinement. It describes how knowledge management infrastructure, knowledge workers, knowledge objects, and intellectual property play roles in strategic knowledge management.
This presentation covers the short description of Consumer Behavior- Perception and Learning, complemented by examples and Case studies. Prepared by Jasleen Kaur and Ishika, MBA, Indira Gandhi Delhi Technical University for Women, using Canva free version.
Organizations implementing knowledge strategies generally go through five stages: pre-implementation, implementation, reinvigoration, inculcation, and holistic. This presentation details steps ADB took in 2008–2011 to initiate, develop, standardize, optimize, and innovate knowledge management and learning.
This document discusses ethical practices in the Indian corporate sector. It outlines types of ethical practices like justice, integrity, confidentiality and self-control. It emphasizes the importance of ethics for attracting customers, employees and investors. The document also examines the need for defining corporate accountability and moving beyond just adopting ethics codes. It proposes a code of ethics for Indian industry that ensures inclusive, accountable and transparent business standards. While some Indian IT companies like Wipro, Tata Steel and HDFC follow strong ethical practices, the document notes that India overall still lacks business ethics due to cultural and trust issues.
The document discusses Michael Porter's value chain analysis framework. It describes how the value chain depicts how customer value is created through a series of activities from inputs to outputs. A value chain analysis examines each subsystem and activity in a supply chain to deliver maximum value at lowest cost. The chain consists of primary activities like inbound logistics, operations, outbound logistics, marketing and sales, and service, as well as support activities that support the primary activities. Analyzing a firm's value chain compared to competitors can reveal sources of competitive advantage. The analysis is used to identify strengths, weaknesses, and opportunities to improve value creation.
This document discusses an upcoming team project to develop an inventory information system using MS Access. It outlines the project deliverables, including business requirements, an ER diagram, and the completed information system. It also provides background on topics like the importance of teamwork, challenges of systems development projects, and the systems development lifecycle approach. Effective teams are those where members understand their unique roles and contribute to goals. Requirements determination, changing needs, and coordinating virtual teams are some difficult aspects of systems projects.
management system development and planningmilkesa13
The document discusses systems development and the systems development lifecycle (SDLC). It describes the SDLC as having sequential phases including systems investigation, analysis, design, programming, testing, implementation, operation, and maintenance. The goal of the SDLC is to ensure high quality systems are delivered on time and budget by providing strong project management controls. Key activities in the SDLC include requirements gathering, logical and physical design, prototyping, various testing approaches, and implementation strategies like parallel and phased conversions.
PLANNING PHASE(1).pdf and designing phaseshamdiabdrhman
The document describes the systems development life cycle (SDLC), which includes planning, analysis, design, and implementation phases. It discusses the role of systems analysts in analyzing business situations, identifying opportunities for improvement, and designing information systems. Systems analysts work as part of a team with business and technical experts to develop systems that provide value to organizations.
Module 6 - Systems Planning bak.pptx.pdfMASantos15
This document provides an overview of systems planning. It discusses strategic planning, including conducting a SWOT analysis and developing a mission statement, goals, and objectives. It also covers factors to consider for information systems projects, such as internal and external influences. The document outlines the steps of a feasibility study, including assessing operational, technical, economic, and schedule feasibility. Finally, it discusses the preliminary investigation process for planning an information systems project, which involves understanding the problem, defining scope and constraints, fact-finding, feasibility evaluation, estimating time and costs, and presenting results to management.
The document outlines the six phases of building an expert system:
1) Project initialization which includes problem definition, needs assessment, and feasibility analysis.
2) System analysis and design including conceptual design, development strategy, and computing resources.
3) Rapid prototyping to test knowledge representation and system structure.
4) System development including knowledge base construction, testing, and improvements.
5) Implementation involving user acceptance testing, training, and deployment.
6) Post-implementation including maintenance, evaluation, and upgrades.
The document discusses the system development life cycle (SDLC) process. It describes the key phases of SDLC including planning, analysis, design, implementation, testing, deployment, and maintenance. It provides details on various techniques used during analysis such as interviews, questionnaires, documentation review, and observation. It also discusses modeling approaches for system design like data flow diagrams, entity-relationship diagrams, and decision trees/tables. Overall, the document provides a comprehensive overview of the SDLC methodology for developing and maintaining information systems.
The document discusses the systems development process. It describes key phases in the traditional systems development life cycle (SDLC) including investigation, analysis, design, implementation, and maintenance. Effective systems development requires defining objectives and establishing requirements. Errors found later in the SDLC are more costly to fix. Common SDLC models include traditional, prototyping, rapid application development, and end-user development. Project management tools can help plan and track systems development projects.
The document outlines the major phases of the systems development process:
1) Problem definition, feasibility assessment, analysis of the existing system, and strategic requirements formulation.
2) Design of the information processing system, including requirements elicitation, data flows, databases, and hardware.
3) Software acquisition and development, procedures development, testing, conversion, and operation/maintenance of the new system.
Management of change runs parallel to ensure adoption. Each phase is evaluated to ensure technical, operational, economic and behavioral feasibility.
This document discusses project management and the system development cycle (SDC) as it relates to the IPT preliminary and HSC courses. It provides details on:
- Where project management is covered in the syllabus and differences between the preliminary and HSC units.
- The steps of the SDC including understanding problems, making decisions, designing solutions, implementation, testing and maintenance.
- How these steps are applied to student projects and the documentation required. Prototyping and participant development are also introduced.
- The impact of going through the SDC on students, requiring documentation like requirement reports and feasibility studies. Some information must be fictionalized for assessment purposes.
The document discusses the process of developing a new system to solve an organizational problem. It describes how a project team is responsible for the development process. The key steps involve understanding the problem, developing a project plan, collecting and analyzing data, and creating a requirements report. The requirements report outlines the goals and needs of the new system. It provides an overview of the data, processes, technology and users of the new system. Developing a clear understanding of the problem and requirements is essential for designing effective solutions.
The document discusses the system development life cycle (SDLC), which is a conceptual model used in project management that describes the stages involved in developing an information system. It is a multistep, iterative process that provides a structured framework for technical and non-technical activities to deliver a quality system. The SDLC gives structure and defines the phases and steps involved in developing a system, and serves as a foundation for project planning, scheduling, and estimating. It also assists in lowering project risk and increasing visibility. The SDLC framework includes activities such as requirements gathering, design, implementation, testing, and maintenance.
The document discusses various aspects of requirements engineering including processes, techniques, challenges, and importance. It describes requirements elicitation, analysis, specification, validation, and management. Key points covered include feasibility studies, types of requirements, characteristics of good requirements, requirements traceability and evolution. Diagrams like use cases, activity diagrams and data flow diagrams are presented as examples of requirements specification outputs.
The document outlines the key stages in a knowledge management system life cycle (KMSLC), including evaluating existing infrastructure, capturing knowledge from experts, designing the KM blueprint, testing the system, implementing it, managing change, and evaluating post-implementation. It emphasizes capturing both explicit and tacit knowledge through tools and rapid prototyping. Selecting the right expert and knowledge developer is important to guide the iterative development process and ensure the system represents expertise rather than any single expert.
This document discusses systems engineering and management concepts including:
1. Systems engineering is a management technology that controls the total system life cycle process to develop high quality, trustworthy, and cost effective systems to meet user needs.
2. The systems engineering life cycle involves requirements identification, conceptual design, detailed design, implementation, evaluation, and deployment.
3. Effective standards, specifications, and processes are important for safety, quality, reliability, and improved communication between stakeholders. Proper application and selection of standards is required.
4. Enterprise transformation is driven by value deficiencies and opportunities and is achieved through changes to strategies, operations, processes, and systems engineering approaches.
This document discusses key concepts in software project management. It covers defining the scope and requirements of the software project, decomposing the problem into functions and classes, establishing a development process, organizing the project team, tracking progress, and making decisions. The document emphasizes understanding stakeholder needs, maintaining momentum, and conducting a post-mortem review.
Presentation1 & 2 Teofilo kisanji UniversityITNet
The document discusses the systems development life cycle (SDLC) which includes planning, analysis, design, implementation, and support phases. In the planning phase, the business need for the system is identified and a feasibility study is conducted. Requirements are gathered in the analysis phase. The design phase decides how the system will operate in terms of hardware, software, and user interfaces. In the implementation phase, the system is built, tested, installed, and trained on. The final support phase maintains and enhances the system after initial installation. The role of the systems analyst is also discussed who works through each phase of the SDLC.
UCD and Technical Communication: The Inevitable MarriageChris LaRoche
Presentation about the increasingly collaboration and needs of technical communication to work with and become competent within UX and UCD methods and principles.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
2. Challenges in KM Systems
Development
• Changing Organizational Culture:
• Involves changing people's attitudes and behaviors.
• Knowledge Evaluation:
• Involves assessing the worth of information.
• Knowledge Processing:
• Involves the identification of techniques to acquire, store, process and distribute
information.
• Sometimes it is necessary to document how certain decisions were reached.
• Knowledge Implementation:
• An organization should commit to change, learn, and innovate.
• It is important to extract meaning from information that may have an impact on
specific missions.
• Lessons learned from feedback can be stored for future to help others facing the
similar problem(s).
3. Conventional Vs KM Systems Life
Cycle(KMSLC)
• Key Differences
• The systems analyst gathers data and information from the users
and the users depend on analysts for the solution.
• The knowledge developer gathers knowledge from people with
known knowledge and the developer depends on them for the
solution.
• The main interface for the systems analyst is associated with novice
users who knows the problem but not the solution.
• The main interface for the knowledge developer is associated with
the knowledgeable person who knows the problem and the
solution.
• Conventional systems development is primarily sequential, whereas
KMSLC is incremental and interactive
4. Conventional Vs KM Systems Life
Cycle(KMSLC)
• Key Differences
• in case of conventional systems, testing is usually done towards the
end of the cycle (after the system has been built), whereas in
KMSLC, the evolving system is verified and validated from the
beginning of the cycle.
• Systems development and systems management is much more
extensive for conventional information systems than it is for KMSLC.
• The conventional systems life cycle is usually process-driven and
documentation-oriented whereas KMSLC is result-oriented.
• The conventional systems development does not support tools such
as rapid prototyping since it follows a predefined sequence of steps
• KMSLC can use rapid prototyping incorporating changes on the spot
5.
6. Conventional Vs KM Systems Life
Cycle(KMSLC)
• Key Similarities
• Both cycles starts with a problem and end with a
solution.
• The early phase in case of conventional systems
development life cycle starts with information
gathering. In KMSLC the early phase needs knowledge
capture.
• Verification and validation of a KM system is often very
similar to conventional systems testing.
• Both the systems analyst and the knowledge developer
needs to choose the appropriate tools for designing
their intended systems.
7.
8. KMSLC Approaches
• Primarily due to lack of standardization, a number of
approaches have been proposed for KMSLC.
• Refer to Table 3.2 in page 65 of your textbook for a list
of representative approaches, and refer to Figure 3.3 in
page 66 of your textbook for a proposed hybrid life
cycle.
• The conventional systems development approach can
still be used for developing KM systems, but it is
usually being replaced by iterative design, prototyping
etc.
9. Evaluating the Existing Infrastructure
• KM systems are developed in order to satisfy
the need for improving productivity and
potential of employees and the company as a
whole. The existing knowledge infrastructure
is evaluated so that it can give the perception
that the present ways of doing things are not
just abandoned in preference for a new
system.
10. Evaluating the Existing Infrastructure
• System Justification: It involves answers to the following questions:
• Is existing knowledge going to be lost through retirement, , transfer,
or departure to other organizations?
• Is the proposed KM system needed in multiple locations?
• Are experts available and willing to support the building of the
proposed KM system?
• Does the concerned problem needs years of proper experience and
cognitive reasoning to solve?
• While undergoing knowledge capture, would it be possible for the
expert to articulate how the problem will be solved?
• How critical is the knowledge that is to be captured?
• Are the involved tasks nonalgorithmic in nature?
• Would it possible to find a champion within the organization?
11. Evaluating the Existing Infrastructure
• Scoping: According to the textbook, the term scoping means
limiting the breadth and depth of the project within the
financial, human resource, and operational constraints.
12. Evaluating the Existing Infrastructure
• Feasibility: Feasibility study involves addressing the following
questions:
• Is it possible to complete the project within the expected
timeframe?
• Is the project affordable?
• Is the project appropriate?
• How frequently the system would be consulted at what will be
associated cost?
• The traditional approach used to conduct a feasibility study can be
used for building a KM system. This involves the following tasks:
• Forming a knowledge management team.
• Preparing a master plan.
• Performing cost/benefit analysis of the proposed system.
• Quantifying system criteria and costs.
13. Evaluating the Existing Infrastructure
• User Support
• Is the proposed user aware of the fact that the
new KM system is being developed? How it is
perceived?
• How much involvement can be expected from the
user while the building process continues?
• What type of users training will needed when the
proposed system is up and running?
• What kind of operational support should be
provided?
14. Role of Strategic Planning
• As a consequence of evaluating the existing
infrastructure, the concerned organization should
develop a strategic plan which should aim at
advancing the objectives of the organization with
the proposed KM system in mind.
• Areas to be considered:
– Vision
– Resources
– Culture
15.
16. Forming a KM team
• Forming a KM team usually means
• Identifying the key units, branches, divisions etc. as the key
stakeholders in the prospective KM system.
• Strategically, technically, and organizationally balancing the team
size and competency.
•
• Factors impacting team success:
• Quality and capability of team members (in terms of personality,
experience, and communication skill).
• Size of the team.
• Complexity of the project.
• Team motivation and leadership
• Promising only what that can be actually delivered.
17. Capturing Knowledge
• Capturing Knowledge involves extracting, analyzing and interpreting the concerned
knowledge that a human expert uses to solve a specific problem.
• Explicit knowledge is usually captured in repositories from appropriate
documentation, files etc.
• Tacit knowledge is usually captured from experts, and from organization's stored
database(s).
• Interviewing is one of the most popular methods used to capture knowledge.
• Data mining is also useful in terms of using intelligent agents that may analyze the
data warehouse and come up with new findings.
• In KM systems development, the knowledge developer acquires the necessary
heuristic knowledge from the experts for building the appropriate knowledge
base.
• Knowledge capture and knowledge transfer are often carried out through teams
(refer to Figure 2.4).
• Knowledge capture includes determining feasibility, choosing the appropriate
expert, tapping the experts knowledge, retapping knowledge to plug the gaps in
the system, and verify/validate the knowledge base (refer to Table 3.4 in page 76
of your textbook).
18.
19. The Role of Rapid Prototyping
• In most of the cases, knowledge developers use iterative approach for
capturing knowledge.
• Foe example, the knowledge developer may start with a prototype (based
on the somehow limited knowledge captured from the expert during the
first few sessions).
• The following can turn the approach into rapid prototyping:
– Knowledge developer explains the preliminary/fundamental procedure based
on rudimentary knowledge extracted from the expert during the few past
sessions.
– The expert reacts by saying certain remarks.
– While the expert watches, the knowledge developer enters the additional
knowledge into the computer-based system (that represents the prototype).
– The knowledge developer again runs the modified prototype and continues
adding additional knowledge as suggested by the expert till the expert is
satisfied.
• The spontaneous, and iterative process of building a knowledge base is
referred to as rapid prototyping.
20. Expert Selection
• The expert must have excellent communication skill to be
able to communicate information understandably and in
sufficient detail.
• Some common questions that may arise in case of expert
selection:
• How to know that the so-called expert is in fact an expert?
• Will he/she stay with the project till its completion?
• What backup would be available in case the expert loses
interest or quits?
• How is the knowledge developer going to know what does
and what does not lie within the expert's area of expertise?
21. The Role of the Knowledge Developer
• The knowledge developer can be considered as the
architect of the system.
• He/she identifies the problem domain, captures
knowledge, writes/tests the heuristics that represent
knowledge, and co-ordinates the entire project.
• Some necessary attributes of knowledge developer:
– Communication skills.
– Knowledge of knowledge capture tools/technology.
– Ability to work in a team with professional/experts.
– Tolerance for ambiguity.
– To be able to think conceptually.
– Ability to frequently interact with the champion, knowledge
workers and knowers in the organization.
23. Designing the KM Blueprint
• This phase indicates the beginning of designing the IT infrastructure/ Knowledge
Management infrastructure. The KM Blueprint (KM system design) addresses a
number of issues.
• Aiming for system interoperability/scalability with existing IT infrastructure of the
organization.
• Finalizing the scope of the proposed KM system.
• Deciding about the necessary system components.
• Developing the key layers of the KM architecture to meet organization's
requirements. These layers are:
– User interface
– Authentication/security layer
– Collaborative agents and filtering
– Application layer
– Transport internet layer
– Physical layer
– Repositories
•
24. Testing the KM System
• This phase involves the following two steps:
• Verification Procedure: Ensures that the
system is right, i.e., the programs do the task
that they are designed to do.
• Validation Procedure: Ensures that the system
is the right system - it meets the user's
expectations, and will be usable on demand.
•
25. Implementing the KM System
• After capturing the appropriate knowledge, encoding
in the knowledge base, verifying and validating; the
next task of the knowledge developer is to implement
the proposed system on a server.
• Implementation means converting the new KM system
into actual operation.
• Conversion is a major step in case of implementation.
• Some other steps are postimplementation
review and system maintenance.
•
26. Quality Assurance
• It indicates the development of controls to
ensure a quality KM system. The types of
errors to look for:
• Reasoning errors
• Ambiguity
• Incompleteness
• False representation
27. Training Users
• The level/duration of training depends on the user's knowledge
level and the system's attributes.
• Users can range from novices (casual users with very limited
knowledge) to experts (users with prior IT experience and
knowledge of latest technology).
• Users can also be classified as tutors (who acquires a working
knowledge in order to keep the system current), pupils (unskilled
worker who tries to gain some understanding of the captured
knowledge), or customers (who is interested to know how to use
the KM system).
• Training should be geared to the specific user based on capabilities,
experience and system complexity.
• Training can be supported by user manuals, explanatory facilities,
and job aids.
28. Managing Change
• Implementation means change, and organizational
members usually resist change. The resistors may include:
• Experts
• Regular employees (users)
• Troublemakers
• Narrow minded people
• Resistance can be seen in the form of following personal
reactions:
• Projection, i.e., hostility towards peers.
• Avoidance, i.e., withdrawal from the scene.
• Aggression.
29. Post system Evaluation
• Key questions to be asked in the post implementation stage:
• How the new system improved the accuracy/timeliness of
concerned decision making tasks?
• Has the new system caused organizational changes? If so, how
constructive are the changes?
• Has the new system affected the attitudes of the end users? If so, in
what way?
• How the new system changed the cost of business operation? How
significant has it been?
• In what ways the new system affected the relationships between
end users in the organization?
• Do the benefit obtained from the new system justify the cost of
investment?
30. Implications for KM
• The managerial factors to be considered:
• The organization must make a commitment to user training/education
prior to building the system.
• Top Management should be informed with cost/benefit analysis of the
proposed system.
• The knowledge developers and the people with potential to do knowledge
engineering should be properly trained.
• Domain experts must be recognized and rewarded.
• The organization needs to do long-range strategic planning.
•
31. Implications for KM
• Some questions to be addressed by the management
regarding systems maintenance:
• Who will be the in charge of maintenance?
• What skills the maintenance specialist needs to have?
• What would be the best way to train the maintenance
specialist?
• What incentives should be provided to ensure quality
maintenance?
• What types of support/funding will be required?
• What relationship should be established between the
maintenance of the KM system and the IT staff of the
organization?