This document introduces MATURETM, a new knowledge maturity model. It begins with an abstract noting that while KM models were initially basic, modern models need to be more robust and prescriptive. It then outlines the presentation, which will disclose MATURETM and how it can be used as both an in-house strategic tool and for organizational certifications. The document provides background on early KM maturity models and discusses issues like models being over-simplified and not accounting for the continuous nature of KM implementation. It proposes that the ideal model would include multiple strategic factors beyond just KM, be both diagnostic and prescriptive, and be evidence-based. An exercise is suggested to design threads of such an optimal model
Practical Knowledge Management – Leveraging People, Process & Technology to E...Enterprise Knowledge
The presentation leverages several recent success stories from EK's client work to discuss current themes in Knowledge and Information Management systems design and development. It includes examples and discussion of Cloud, Agile, Taxonomy, and Change Management, amongst other themes.
Organizations across the world are grappling with how to maximize the knowledge that their employees have access to. They face similar core business challenges related to knowledge management (KM):
- Staff can’t easily find useful and relevant information, when they need it.
- There is a lack of trust that the information their staff come across is complete, up-to-date, and accurate.
- Collaboration is hindered by silos.
- Expertise, best practices, and lessons learned aren’t exchanged in a way that could drive innovation and creativity.
- Knowledge is “walking out the door” when people leave.
- Onboarding processes aren’t supporting new staff in getting acclimated effectively.
While many organizations face similar business challenges, how these challenges emerge and look within an organization vary based on its culture and operating environment. In this presentation, Mary Little, Practice Lead, and Kristin McNally, Senior Consultant, of Enterprise Knowledge, share methods and proven practices in assessing an organization’s KM maturity, surfacing their primary KM challenges, and defining a roadmap to their KM goals that is framed within the context of their business.
Practical Knowledge Management – Leveraging People, Process & Technology to E...Enterprise Knowledge
The presentation leverages several recent success stories from EK's client work to discuss current themes in Knowledge and Information Management systems design and development. It includes examples and discussion of Cloud, Agile, Taxonomy, and Change Management, amongst other themes.
Organizations across the world are grappling with how to maximize the knowledge that their employees have access to. They face similar core business challenges related to knowledge management (KM):
- Staff can’t easily find useful and relevant information, when they need it.
- There is a lack of trust that the information their staff come across is complete, up-to-date, and accurate.
- Collaboration is hindered by silos.
- Expertise, best practices, and lessons learned aren’t exchanged in a way that could drive innovation and creativity.
- Knowledge is “walking out the door” when people leave.
- Onboarding processes aren’t supporting new staff in getting acclimated effectively.
While many organizations face similar business challenges, how these challenges emerge and look within an organization vary based on its culture and operating environment. In this presentation, Mary Little, Practice Lead, and Kristin McNally, Senior Consultant, of Enterprise Knowledge, share methods and proven practices in assessing an organization’s KM maturity, surfacing their primary KM challenges, and defining a roadmap to their KM goals that is framed within the context of their business.
In EK CEO Zach Wahl's presentation from KMWorld Connect 2020, he discusses the importance of putting KM in terms of business value and ROI. The presentation details EK's Proprietary KM Maturity Benchmark, a process to understand your organization's current, and target state, and specific metrics regarding KM ROI and Business Value.
Presented by Zach Wahl, CEO, and Mary Little, Knowledge Management Practice Lead, on Thursday, April 2nd.
With the current global COVID-19 pandemic, companies big and small, global and local, have found themselves in a much different reality and have been forced into remote work situations. Knowledge Management, when well-designed and implemented, can play a major role in helping an organization maintain the three c’s of organizational health: connections, collaboration, and culture.
In this webinar, Zach Wahl and Mary Little will discuss how KM supports effective remote work, and will offer recommendations for how organizations can improve their KM and remote work immediately.
Practical Knowledge Management: Assessing Where You Are, Where You Want to Be...Enterprise Knowledge
Knowledge Management should be a critical component of any
organization's strategy, operations, and technical infrastructure.
However, many organizations continue to struggle with defining
what KM is, what they can get out of it, and how it integrates with their business. Much of this challenge is due to the fact that KM has long been an ill-defined concept, coopted by academics that fail to focus on business value. Other organizations have struggled with KM due to an inability to recognize that effective KM transcends a single discipline, integrating People, Culture, Processes, Technology, and Content throughout and between the various functions on an organization.
This session defines business-focused KM and discusses the
various aspects of Knowledge and Information Management that yield true business value. It also defines an Agile approach to understanding the current status and future needs for KM within an organization, including the introduction of EK's KM
benchmarking system for understanding where your organization should focus.
This presentation, delivered by Guillermo Galdamez at the Taxonomy Bootcamp Connect Conference, offers seven practical tips for improving taxonomy governance efforts in your organization - making sure that the taxonomy continues to grow and evolve alongside the organization, and communicating its value to stakeholders to be able to sustain support. The advice in this presentation is based on experience in taxonomy design and governance efforts across dozens of organizations of multiple sizes and various industries.
Aligning people process and technology in km kwt presentationStephanie Barnes
This is the presentation given by Stephanie Barnes at Knowledge Workers Toronto (KWT) on Aug 2, 2011. It is based on her Ark Group report, "Aligning People, Process, and Technology in Knowledge Management" published in May 2011.
Presented at Midwest KM Symposium by Guillermo Galdamez (Senior Consultant at Enterprise Knowledge), the presentation, "What's in a name? Not your Org chart", explores taxonomy design best practices, and offers usable solutions to tagging and organizing knowledge assets without relying on an organigram.
Best practices, lessons learned, and examples for taxonomy governance and iteration. Developed by Enterprise Knowledge and originally presented for the Knowledge Management Institute.
This presentation from Joe Hilger, Founder and COO of Enterprise Knowledge was presented at the KM Showcase 2020 in Arlington, VA on March 5th. The presentation addresses why knowledge management is the foundation for successful artificial intelligence. Hilger provides reasoning and examples for why taxonomy, content strategy, governance, and KM leadership are foundational requirements for organization's pursuing recommender systems, chat bots, and much more. Lastly, he defines Knowledge Artificial Intelligence and provides a brief overview of knowledge graphs.
This is the three-hour "Taxonomy 101" Presentation delivered at KMWorld 2021 (Virtual, KMWorld Connect). The presentation details taxonomy and ontology definitions, business value, and design methodologies. It also covers the concept of Knowledge Graphs in detail. Special attention is given to the differences between taxonomy and ontologies (both from a use and design perspective).
Analytics is a critical tool that allows business owners to make
fact-based decisions about taxonomies. Taxonomy management involves capturing terms and concepts, analyzing their usefulness, and managing the employment of the concepts and terms within different contexts.
This presentation offers best practices on design and maintenance of taxonomies, as well as discusses the role of the governance plan.
The presentation covers broad areas of design methodology, with sustainable methods for maintaining taxonomies and integrating changes into their systems design processes.
If you create web content these pain points probably sound familiar:
Tasks assigned to you in a flurry of “urgent” tasks with unrealistic timelines
The assumption that there is a “Photoshop button” which magically makes things pretty
Inadequate access to skilled content creators and subject matter experts
Agile content strategy can help you prioritize tasks, bite off only as much content work as you can realistically chew in a given time, and build the capacity of your team so they can accomplish more. Rebecca Wyatt spoke recently on these points and about her experience developing and upgrading content in an iterative, incremental way for the National Park Service.
Presented at KM Showcase 2019 by Todd Fahlberg (Enterprise Knowledge) and Hasan Syed (Federal Home Loan Bank of Chicago), the presentation offers a case study from FHLBC on how Syed led his organization in the design and implementation of an enterprise search tool called “Unified Search.” Further, Syed and Fahlberg discuss how FHLBC is prepared to scale the enterprise search solution to include additional repositories, address differing security needs, and measure the success of the current implementation.
In EK CEO Zach Wahl's presentation from KMWorld Connect 2020, he discusses the importance of putting KM in terms of business value and ROI. The presentation details EK's Proprietary KM Maturity Benchmark, a process to understand your organization's current, and target state, and specific metrics regarding KM ROI and Business Value.
Presented by Zach Wahl, CEO, and Mary Little, Knowledge Management Practice Lead, on Thursday, April 2nd.
With the current global COVID-19 pandemic, companies big and small, global and local, have found themselves in a much different reality and have been forced into remote work situations. Knowledge Management, when well-designed and implemented, can play a major role in helping an organization maintain the three c’s of organizational health: connections, collaboration, and culture.
In this webinar, Zach Wahl and Mary Little will discuss how KM supports effective remote work, and will offer recommendations for how organizations can improve their KM and remote work immediately.
Practical Knowledge Management: Assessing Where You Are, Where You Want to Be...Enterprise Knowledge
Knowledge Management should be a critical component of any
organization's strategy, operations, and technical infrastructure.
However, many organizations continue to struggle with defining
what KM is, what they can get out of it, and how it integrates with their business. Much of this challenge is due to the fact that KM has long been an ill-defined concept, coopted by academics that fail to focus on business value. Other organizations have struggled with KM due to an inability to recognize that effective KM transcends a single discipline, integrating People, Culture, Processes, Technology, and Content throughout and between the various functions on an organization.
This session defines business-focused KM and discusses the
various aspects of Knowledge and Information Management that yield true business value. It also defines an Agile approach to understanding the current status and future needs for KM within an organization, including the introduction of EK's KM
benchmarking system for understanding where your organization should focus.
This presentation, delivered by Guillermo Galdamez at the Taxonomy Bootcamp Connect Conference, offers seven practical tips for improving taxonomy governance efforts in your organization - making sure that the taxonomy continues to grow and evolve alongside the organization, and communicating its value to stakeholders to be able to sustain support. The advice in this presentation is based on experience in taxonomy design and governance efforts across dozens of organizations of multiple sizes and various industries.
Aligning people process and technology in km kwt presentationStephanie Barnes
This is the presentation given by Stephanie Barnes at Knowledge Workers Toronto (KWT) on Aug 2, 2011. It is based on her Ark Group report, "Aligning People, Process, and Technology in Knowledge Management" published in May 2011.
Presented at Midwest KM Symposium by Guillermo Galdamez (Senior Consultant at Enterprise Knowledge), the presentation, "What's in a name? Not your Org chart", explores taxonomy design best practices, and offers usable solutions to tagging and organizing knowledge assets without relying on an organigram.
Best practices, lessons learned, and examples for taxonomy governance and iteration. Developed by Enterprise Knowledge and originally presented for the Knowledge Management Institute.
This presentation from Joe Hilger, Founder and COO of Enterprise Knowledge was presented at the KM Showcase 2020 in Arlington, VA on March 5th. The presentation addresses why knowledge management is the foundation for successful artificial intelligence. Hilger provides reasoning and examples for why taxonomy, content strategy, governance, and KM leadership are foundational requirements for organization's pursuing recommender systems, chat bots, and much more. Lastly, he defines Knowledge Artificial Intelligence and provides a brief overview of knowledge graphs.
This is the three-hour "Taxonomy 101" Presentation delivered at KMWorld 2021 (Virtual, KMWorld Connect). The presentation details taxonomy and ontology definitions, business value, and design methodologies. It also covers the concept of Knowledge Graphs in detail. Special attention is given to the differences between taxonomy and ontologies (both from a use and design perspective).
Analytics is a critical tool that allows business owners to make
fact-based decisions about taxonomies. Taxonomy management involves capturing terms and concepts, analyzing their usefulness, and managing the employment of the concepts and terms within different contexts.
This presentation offers best practices on design and maintenance of taxonomies, as well as discusses the role of the governance plan.
The presentation covers broad areas of design methodology, with sustainable methods for maintaining taxonomies and integrating changes into their systems design processes.
If you create web content these pain points probably sound familiar:
Tasks assigned to you in a flurry of “urgent” tasks with unrealistic timelines
The assumption that there is a “Photoshop button” which magically makes things pretty
Inadequate access to skilled content creators and subject matter experts
Agile content strategy can help you prioritize tasks, bite off only as much content work as you can realistically chew in a given time, and build the capacity of your team so they can accomplish more. Rebecca Wyatt spoke recently on these points and about her experience developing and upgrading content in an iterative, incremental way for the National Park Service.
Presented at KM Showcase 2019 by Todd Fahlberg (Enterprise Knowledge) and Hasan Syed (Federal Home Loan Bank of Chicago), the presentation offers a case study from FHLBC on how Syed led his organization in the design and implementation of an enterprise search tool called “Unified Search.” Further, Syed and Fahlberg discuss how FHLBC is prepared to scale the enterprise search solution to include additional repositories, address differing security needs, and measure the success of the current implementation.
This presentation is dedicated to PCMM maturity model. People Capability Maturity Model is about restructuring organizations based on organization involved persons' capabilities which is one of the best methods in its own.
Hopmere, Michael Its Better Building 080410mhopmere
Short practical presentation given in Montreal in 2008 - identifying \'missing links\' in your PM organisation, assessing their impact and filling the gaps.
How to Introduce Operational Excellence in your Organisation?Tina Arora
This presentation will help you present to the management the need and benefits of introducing Operational Excellence as a department in your Organisation.
It can be modified to suit the advocacy in any industry - be it Financial services, BPO, LPO, KPO, Domestic call centres, Manufacturing, Consumer Goods, Retail, etc.
Critical analysis of Six Sigma implementationKamran Moosaa.docxannettsparrow
Critical analysis of Six Sigma implementation
Kamran Moosaa∗ and Ali Sajidb
aCEO—PIQC, Institute of Quality, Lahore, Pakistan; bInstitute of Business Management,
University of Engineering & Technology, Lahore, Pakistan
The Six Sigma programme has recently gained popularity throughout the world. There
are a number of claims of its successes as well as failures. Successful claims are mostly
supported in the literature with the popular case studies of Motorola, GE, and some
other American companies. Based on the popularity of these success stories, many
companies started implementation of this programme. Some did it successfully while
many failed to achieve the desired results. This paper explores and analyses the
critical success and failure factors of implementing Six Sigma in organisations based
on lessons drawn from real life practices and case studies, as well as available
literature. The paper also draws useful conclusions and recommendations for
strategists, CEO’s and quality managers on how to effectively implement Six Sigma.
Keywords: Six Sigma implementation; Six Sigma metric; Six Sigma structure; Six
Sigma methodology; total quality management (TQM); ISO 9000
Background
Total Quality Management (TQM) is a sub-discipline of management science which aims
to define, set, control and improve the effectiveness of an organisation within its con-
straints. It has been named and labelled by different nomenclatures in its evolution over
the last 60 years or so, such as quality control (QC), quality assurance (QA), total
quality control (TQC), company-wide quality control (CWQC), TQM, or quality manage-
ment systems (QMS). Since then, a paradigm shift in the core concept has occurred in the
field of TQM by expanding the process of measurement, control and improvement from
the testing/inspection departments to all departments in all types of firms, which may
be manufacturing or service. Having implemented TQM, it means that the organisation
is essentially using the philosophy of standardisation, customer satisfaction and continual
improvement. For this purpose, this field uses many tools, methods, standards or pro-
grammes continuously being evolved by top class practicing companies, practitioners,
or academicians. Six Sigma is the latest entry in this field.
Introduction
Six Sigma is an improvement methodology in the field of Total Quality Management
(TQM). It is defined as ‘a methodology for pursuing continuous improvement in customer
satisfaction and profit that goes beyond defect reduction and emphasizes business process
improvement in general’ (Breyfogle III, 2003). It aims for an error free business environ-
ment (Pyzdek, 2003). It was originally introduced in the US by Motorola in the late 1980s
ISSN 1478-3363 print/ISSN 1478-3371 online
# 2010 Taylor & Francis
DOI: 10.1080/14783363.2010.483100
http://www.informaworld.com
∗Corresponding author. Email: [email protected]
Total Quality Management
Vol. 21, No. 7, .
The Project Management Maturity Model is a formal tool developed by PM Solutions and
used to measure an organization's project management maturity. Once the initial level of maturity and
areas for improvement are identified, the PMMM provides a roadmap, outlining the necessary steps to
take toward project management maturity advancement and performance improvement.
The Project Management Maturity Model is a formal tool developed by PM Solutions and
used to measure an organization's project management maturity. Once the initial level of maturity and
areas for improvement are identified, the PMMM provides a roadmap, outlining the necessary steps to
take toward project management maturity advancement and performance improvement.
Levels of Project Management Maturity
Level 1: Initial Process
o Ad hoc processes
o Management awareness
Level 2: Structured Process and Standards
o Basic processes; not standard on all projects; used on large, highly visible projects
o Management supports and encourages use
o Mix of intermediate and summary-level information Estimates and schedules
based on expert knowledge and generic tools
o Project-centric focus
Level 3: Organizational Standards and Institutionalized Process
o All processes standard for all projects and repeatable
o Management has institutionalized processes
o Summary and detailed information
o Baseline and informal collection of actual data
o Estimates and schedules may be based on industry
o standards and organizational specifics
o Organizational focus
o Informal analysis of project performance.
Level 4: Managed Process
o Processes integrated with corporate processes
o Management mandates compliance
o Management takes an organizational entity view
o Solid analysis of project performance
o Estimates and schedules normally based on organization specifics
o Management uses data to make decisions
Level 5: Optimizing Process
o Processes to measure project effectiveness and efficiency
o Processes in place to improve project performance
o Management focuses on continuous improvement
Company ReBuilding : Moving into a new dimension of value creation (Compendium)Marc Wagner
About Company Rebuilding: Company what? Another buzzword? What does is mean! Using the analogy of cellular growth, corporate renewal is based on the principle of continual cell division, whereby organizational growth is controlled, organically and inorganically, by platforms that control communication and value creation, thus providing the basis for the creation of new, transformational products.
It is crucial that when creating new units or cells, that clear rules of organizational cooperation (New Work) are established where a common set of values are established and, in particular, rules for the creation of new cells are set. All organically created units carry one and the same DNA, which has customers and employees at each end of the double helix, ensuring that all kinds of non-value-adding structures and activities are eliminated immediately. All units of this newly created ecosystem must be guided by a clearly formulated vision (purpose), which specifically focuses on customer value and has the potential to produce transformational products. This purpose serves as a magnet for new partners and stakeholders in the value creation process.
The presentation provides an general overview of the Company ReBuilding concept, the underlying Communities of practices & references
For further information contact: marc.wagner@detecon.com
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
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.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
2. Finally, a Robust Maturity Model (MATURE)™
We need much more than ad hoc/
anecdotal approaches to K-Age
organizational transformation.
Douglas Weidner
Exec. Chairman, Chief CKM Instructor
KM Institute
douglas.weidner@kminstitute.org 2
3. Abstract (Quick Intro):
Despite a very slow start, KM is finally showing early hints of eventual maturation. And, the
ability to prove and expedite such growth is not far behind. Robust, evidence-based maturity
models, now just emerging, will be instrumental.
At KM’s outset maturity models were basic, anecdotal/ad hoc assessment tools. They provided
initial diagnostics. But, modern models must be more than diagnostic: they must be prescriptive
-- robust enough to track the prognosis, grounded in management science/analytics.
There’s another critically important discriminator: most models focus merely on KM, but there
are many essential strategic factors that are key to determine organizational performance and
maturity, and ultimate K-Age health and sustainability.
Example: Will your organization need to focus on ISO30401:2018 compliance?
What other factors are K-Age essentials? Are you ready to bring science (analytics) to KM?
This presentation will disclose MATURE™, a new K-Age method/tool for the essential
transformation of your organization into a high performing, healthy and sustainable K-Age entity.
3
4. In order to appreciate future possibilities, we need to have a sense of the recent history
of maturity models, since the SEI-CMM® -- what our military friends might call Situational
Awareness.
But, there have been many Complications, that have and continue to keep us from fully
exploiting the power of maturity models, including primarily a diagnostic/assessment
orientation, and a primary focus on just KM to the exclusion of other essential ingredients
for performance, health and sustainability in the Knowledge Age.
Solutions: We must dramatically expand our maturity model orientation and perspectives --
to fully include the new functionality, which we will discuss today, specifically:
1. Both Diagnostic and Prescriptive models
2. Leverage multiple threads vs. just KM-oriented views
3. Transform from just ad hoc/anecdotal KM to include emerging research results
(aka Operations Research/Management Science/Analytics)
4. How to use MATURE™. CKMers - as an in-house, strategic KM tool;
or, as consultants - for organizational certifications.
MATURE™ Outline
4
5. Situational Awareness
Example: Software Engineering Institute – Capability Maturity Model (CMM)® -
late 1990s, driver for maturity models to became popularized.
Then, with that overall understanding, we’ll quickly highlight some background theory
v-v designing a robust maturity model.
Other KM Models that immediately followed – 1999, and early 2000s as examples.
Finally, we’ll do an in-class exercise – practice designing some maturity model
components (threads), no doubt relevant to you.
Heads up! What’s coming in this initial, brief section.
5
6. INTRO: SEI-CMM® Maturity Model
Disciplined
Process
Standard
Consistent
Process
Predictable
Process
Continuously
Improving
Process
“specific process of explicitly defining,
managing, measuring, controlling the
evolutionary growth of an entity in
capability, consistency of execution.”
CMM®
Situational
Awareness
6
7. Factors to Consider – The Theory Stuff *
* Excellent references: Klimko, 2001; Kulkari, 2003, Kruger, 2007.
Maturity Modeling – a generic approach describing
development of an entity over time,
progressing through levels toward an idealistic ultimate state,
e.g., Maslow’s 1943 Hierarchy of Needs (Self-Actualization).
Traditional guidelines:
• Simple – limited number of maturity levels (4 – 6).
Able to be understood/easily used.
• Requirements – defined by level to assess attainment.
• Order – typically sequential (‘staged’)
• Development – Orderly progress from one stage to next
(consider human maturity: birth, childhood, adulthood, …)
Situational
Awareness
7
8. List of Early Maturity Models
• Siemens AG KMMM® (1999) – 5 levels, 8 Key Areas (use of Radar diagram
to graphically depict assessment results)
• Weidner KMM™ (1999) – 5 levels of a K-Creating Entity
• KM Landscape (Microsoft 1999) – Four stages using KM Tools
• KM Formula-KMf (Gallagher & Hazlett 1999) – 4 levels, 3 factors (Culture, Infrastructure,
Technology)
• Knowledge Journey (KPMG 2000) – 5 levels, 4 factors (People/Process/Tech/Content)
• Klimko Model (2001) – 5 levels
• KM Maturity Matrix (US Gov 2001-2002) – 4 levels, 4 capabilities with much text
description.
• Kruger Model (2007) - 6 phases
• KM Maturity Model and Framework (PwC 2006-8) – 5 levels,
Let’s view a few samples – some pretty, some not.
Situational
Awareness
8
9. History: SEI-CMM® Maturity Model and Beyond
Early KM maturity models emerged in 1999, after the US
government published the Capability Maturity Model (CMM)®.
Siemens registered a KM Maturity Model (KMMM)®.
Weidner was next, but needed to opt for a Knowledge Maturity
Model (KMM)™, i.e., just Knowledge, not full KM. That was less
insightful than fortuitous.
Consider this…is an organization’s performance and ultimate
health/sustainment a function of just KM?
Or, is it rather a proper focus on all essential K-based functions,
enriched by KM methods, and other, proven keys to success?
If the latter is true -- it’s more than just KM,
then how should an organization proceed?
After viewing a few models as a warmup, we’ll see what it takes
for a maturity model to be a invaluable tool.
Situational
Awareness
9
10. Siemens AG KMMM® - 1999 – First to trademark, good analysis (radar) model.
10
12. Kruger/Snyman 6-Phase Model (2004)
Guide
Know
Enable
PHASE 1 PHASE 2 PHASE 3 PHASE 4 PHASE 5 PHASE 6
ICT as an enabler
of Knowledge
Management
Decide on
KM Principles
The ability to
formulate an
organization-wide
Knowledge Policy
Building
Knowledge
Policies
Formulation of
Knowledge Mgt
Strategies
Ubiquitous
Knowledge
Knowledge
Culture
Maturity
Accomplishing
the Knowledge
Vision
Kruger/Snyman 6-Phase Model (2004)
13. Kruger/Snyman 6-Phase Model (2004)
Guide
Know
Enable
PHASE 1 PHASE 2 PHASE 3 PHASE 4 PHASE 5 PHASE 6
ICT as an enabler
of Knowledge
Management
Decide on
KM Principles
The ability to
formulate an
organization-wide
Knowledge Policy
Building
Knowledge
Policies
Formulation of
Knowledge Mgt
Strategies
Ubiquitous
Knowledge
Knowledge
Culture
Maturity
Accomplishing
the Knowledge
Vision
Kruger/Snyman 6-Phase Model (2004)
Initial Aware Manage Optimise
14. Areas Sub Areas
Baseline Initial Transitional Advanced
Capability is defined as the
present state of KM within an
organization and its readiness to
adopt KM best practices.
Knowledge is not managed. The
process is characterized as ad hoc,
and occasionally even chaotic.
Organizational emphasis is on access
to data not knowledge. Knowledge
sharing is not promoted or enabled.
Few processes are defined, and
success depends on individual
initiative.
Knowledge sharing emerging as a
business rule, but not yet nurtured.
Basic KM processes for capture are
established. Organizational emphasis
is on technology (e.g., storing, retriev-
ing, managing) and access (e.g.,
databases, files)
Knowledge sharing is a business rule.
The process is documented/integrated
into the overall business process.
Cultural changes & mgmnt actions
support collaboration, knowledge base
building, access to knowledge.
Measures of process and product
quality are collected, understood, and
controlled.
KM is becoming a transparent activity.
Simply considered a part of doing
business. Supports all internal and
external business needs. Continuous
process improvement enabled by
quantitative and qualitative feedback.
Knowledge Use
Data/information are used to make
incremental changes to existing norms,
values, and processes, e.g., automating
a previously manual process.
Knowledge is used to make incremental
changes to existing norms, values,
and processes.
Knowledge is used to shift to different
known assumptions and modes of
operation (paradigms).
Knowledge is used to reflect on, and
change if needed, existing assumptions,
processes, operating norms, structures.
Workforce Socialization
Physical and/or geographical
boundaries. Limited interaction among
colleagues across functional and
organizational areas of expertise
and across experience levels.
Socialization among physically
and/or geographically co-located
individuals, but typically w/in functional
and organizational areas of expertise
and similar experience levels.
Active involvement of work-force across
physical and geographical boundaries.
Highly socialized, highly connected
workforce through physical or virtual
mechanisms. Unrestricted, no-penalty
communication across experience and
management levels.
Workforce Collaboration
Stovepiped organization. Projects,
products, and new business developed
independently within organizational
groups. Limited cross-matrixing of
staff expertise. Limited leveraging of
past or on-going related efforts across
the organization.
Sharing of expertise and products
upon completion. Limited attempts
to identify related efforts within
organization prior to new starts.
Regularly scheduled opportunities to
share on-going and future efforts
across organizational boundaries,
e.g., business development opportun-
ities, new tasks, new hires,
organizational partners
Org-wide interaction & collaboration
through physical or virtual interaction;
cross-functional matrixing; no-blame
environment (reward vs. penalize);
active CoPs in all areas of vital business
interests. Org’l "centers of excellence"
available to all staff and their customers.
Capability
CapabilityDefinitionCapabilityDefinitionCultureCulture
US Gov KM Matrix (2002) – No graphic, but some good text detail.
15. Here’s some quick history/theory stuff, which is essentially self-explanatory.
Also, it is a transition to Complications.
The original purpose of maturity models is best described by CMM® - growing
capability and consistency of operations. A few other design considerations are
worthwhile. They are fully introduced in the next few slides.
But, consider this. The problem is that most all practitioners have focused on
maturity models as only diagnostic/assessment tools.
Typically, a sound diagnosis must lead to a prescription, then follow up – the
outcome/prognosis. But, that proven healthcare process is seldom followed by
KMers.
Note Also: Though essential to health, prescriptions are an entirely different
science than diagnoses, and in practice far more complex than just assessing your
present state, aka a K Audit. 15
16. Critical Issues – “Barriers to Success”, aka Complications
• Superficiality – Most are just a Roadmap only, over-simplified.
Not a sufficient, robust tool for CMM equivalent objectives:
• improved organizational capability especially,
• consistency of execution (In KM jargon, a Learning Organization.)
• Reality – Misunderstand nature of KM implementation, specifically:
• Staged: progress sequentially – one level to next – typical model.
• Continuous: able to develop simultaneously, but at different pace
in different areas -- a more realistic KM scenario.
• Flexibility – different development tracks possible.
“Five levels, but only achievement of initial
two levels required, then alternative” tracks
(Venkatraman – 1995) 16
17. Consider these Critical Issues and Barriers to Success
v-v maturity models.
They are seldom understood, even by proponents.
Hence, unfortunately, these cautions are seldom heeded.
Result: Faulty models.
Simplicity is good, but superficiality is definitely not.
Though a staged approach seems logical – child to adult,
in reality business organizational maturity needs to be more multiplexed,
especially if prescriptive and multithreaded.
Complications
17
18. Let’s study/create together a future (next-generation), maturity model.
It will have multiple threads or factors (not just KM).
It will focus on both diagnostic & prescriptive outcomes, and be fact/evidence-based:
Multiple Threads – Not just a KM maturity model, but must include other essential
threads/factors as well.
Question: What critical factors, besides KM, are essential to your own organization’s success?
Prescriptive – Based on diagnosis, makes prescriptions/monitors prognosis toward a
healthy/thriving/sustainable, Learning Organization.
Evidence Based – Not just ad hoc/anecdotal, but prescriptions based on fact-based research -
best practices by experts/firms.
These ingredients will eventually enable artificial intelligence (AI) to be used for business
optimization, to complement maturity models, in the K Age.
Design Ultimate K-Age Maturity Model
Call it the K Maturity Model or MATURE™.
Solutions
(Keys to Success)
18
19. So, what should an optimum design look like?
Many graphic shapes could work.
More importantly, what should it include?
Let’s find out.
Design Ultimate K-Age Maturity Model
Call it the K Maturity Model or MATURE™.
Solutions
(Keys to Success)
19
20. Hypothetical Questions: What specific design factors/features
would you include to create the ultimate K-Age KM System?
Why?
Let’s design a possible, ultimate K maturity model, then compare
three existing models: a CoP Model, APQCs Model, and KMI’s
Knowledge Maturity Model (aka MATURE™).
Our Learning Objective – Decide our own way forward.
Solutions
(Keys to Success)
20
21. THREADS
In the design of a robust K Maturity Model,
multiple strategic factors (Threads) are key to determine
organizational maturity – its ultimate success.
Assume this next graphic represents a consensus
of research and expert opinions, which it does.
List four possible maturity model threads, derived from this research.
(Note: One might be emerging or Disruptive).
Solutions
(Keys to Success)
21
23. THREADS:
So, we’ve seen some possible generic, strategic threads, in addition to KM:
Human Capital, Customer Satisfaction, Innovation, Analytics, etc.
Are there any other threads that are unique or could be essential in your
own specific organization? Note them. We’ll come back to them.
The requirement to have a number of various strategic threads is essential,
once you accept that KM maturity is about more than just KM.
Do you accept that assumption?
23
24. Two Types of Factors:
Organizational Maturity Factors
Community Specifc Factors
Leadership
Culture
CoP Mgmt
Content
Governance
Tools
Metrics
http://community-roundtable.com/2009/06/the-community-maturity-model/
Strategy
24
26. APQC’s Stages of KM Maturity, Hubert & Lemons, 2013.
Developing a Roadmap to KM Maturity Level 5, 2019.
“APQC’s Levels of KM Maturity™ is a framework designed
to help orgs determine the sophistication of their KM
programs and the ROI from their KM efforts.”
26
27. APQC’s KM Assessment is used as a consultative tool.
Here, Deloitte evaluated its KM program and got a high
maturity level – 4. (See last bar – Overall Maturity.)
Evaluate/Discuss (time permitting).
27
30. What if your organization is likely to focus on ISO 30401:2018 compliance, as many will do?
Let’s define a process to do that, and together create an ISO-oriented maturity model.
This process can serve as a method for you to create
a new model, or a single thread within a model.
Here’s an outline of the modeling process:
1. Determine the underlying maturity model to use.*
For many reasons, we will use MATURE™, including:
• Design: it is compatible with a transformational,
approach in the context of the emerging Knowledge Age.
• Foundation: it has a rich combination of process,
methodology, and evidence-based support, for it’s
many Levels, to substantially increase likelihood of success.
*..Think of doing ongoing financial analyses.
You will need a spreadsheet tool, such as Excel.
Think of MATURE™ as your maturity modeling tool. 30
31. 2. Determine the domain/sector that you want to track v-v maturity, such as ISO.
For that domain, will you need to choose a comprehensive single thread (e.g., is this one domain
of many such domains, such as HC, Innovation, and others, etc.,)?
Or, do you intend a single model (e.g., ISO, KM, change management, etc.) with multiple threads
for each component of that domain. For instance, let’s review ISO 30401:2018, which has many
possible categories worth monitoring if doing a complete model for that domain:
ISO Category Probable MATURE™ Levels
0.2 Importance of KM #2 Aware/Awareness Campaign
0.3 Guiding principles #2 Aware/Awareness Campaign
3 Terms/definitions #1 Methodology – Map Way Forward
4 Context of the organization #2 Aware/Awareness Campaign
5 Leadership #3 Transformational – Leadership/Strategy
6 Planning #4 Underwrite – Implementation Plan
7 Support #1 Methodology - #5 Results – Document
8 Operation #4 Underwrite – Implementation Plan
9 Performance evaluation #1–Methodology, #5Results–Document.
10 Improvement #6 Excellence – Continuously Improve 31
32. ISO 30401:2018 9 Performance evaluation
9.1 Monitoring, measurement, analysis and evaluation
The organization shall evaluate the knowledge performance and effectiveness of the KM system
to determine: what needs to be monitored and measured (including conformity with the
requirements of this document); evidence of added value to the relevant stakeholders; the
methods, as applicable, to ensure valid results; when to be performed; and, when the results shall
be analysed and evaluated. The organization shall retain appropriate documented information as
evidence of the results.
9.2 Internal audit
9.2.1 The organization shall conduct regular internal audits to provide information on whether
the KM system conforms to the organization’s own requirements for its KM system and the
requirements of this document. The audit shall conform to 9.2.2.
9.3 Management review
Top mgmt shall periodically review the organization's KM system to ensure its continuing
suitability, adequacy and effectiveness, including: the status of actions from previous mgmt
reviews; changes in external and internal issues that are relevant to the knowledge mgmt system;
information on the KM performance, including trends in nonconformities and corrective actions;
monitoring and measurement results; audit results; and opportunities for continual improvement.
32
33. ISO Category #9 Performance evaluation, has many activities spanning multiple likely maturity
levels (1 – 6). Here’s a sampling of shalls:
9.1 Monitoring, measurement, analysis and evaluation. Organization shall determine:
• What/when to monitor/measure
• Methods – ensure valid results
• Were monitor/analysis done effectively?
• Also, retain appropriate documented info v-v evidence of results
All the above for evaluating performance of a KM system, plus:
9.2 Internal audits - setup and used.
9.3 Management reviews – done, and have results created continuous improvements?
Result: diagnostic maturity model for an ISO thread #9.
33
35. Here’s a draft maturity thread, by level, for the full ISO 9 Performance evaluation.
It is based on ISO requirements expressed as 10 Qs mapped to level.
I. Methodology – Map Way Forward (Learning Plan)
1. Have the what/when to measure been defined?
2. Have the measurement methods been validated?
3. Has an effective Internal Audit Plan been established?
II. Aware – Map Way Forward (Learning Plan)
4. Have the Performance Evaluation rqmts/methods been effectively communicated?
III. Transform – Leadership & Strategy
5. Have effective Management Reviews (monitoring) taken place as planned?
IV. Underwrite – Implementation Plan (ROI)
6. Have internal audits been performed/results reported, input to implementation plans?
V. Results – Document and Iterate
7. Were relevant measurements taken as planned?
8. Were effective analyses & evaluations performed?
9. Have relevant measurement documents v-v results been retained/archived?
VI. Excellence – Continuously Improve - Learning Organization.
10. Have Mgmt. Rvws. provided continuing improvements?
List Maturity Levels
List relevant Qs by
Maturity Levels
35
36. Sample – Maturity Model Development
If you have both a maturity model, and an ISO thread with such defined ISO activities, you can
probably allocate the thread’s activities across all the model’s six levels.
Result: Diagnostic maturity model for an ISO thread #9.
Implementation Process: Assess the actual rigor of the activities being done at each maturity
level on a Likert Scale 1 - 5. The Likert Scale responses vary from (1) strongly disagree to (5)
strongly agree. This determines maturity for that specific level.
For example: If Level II’s activities are being done quite well (score >4 of 5),
you are mature for that activity at that level.
Or, for that specific thread at that level II, if the model is a multi-threaded one.
But, what if not adequately doing that activity (score is <4)?
Then you need research-based prescriptions.
Research-Based Methodology and Prescriptions needed!
That’s beyond the scope of this talk, but here’s some ‘teasers’. 36
37. Learning plan/skills:
2.4 - 3.2x
more likely
to succeed.
Leverage influencers: 3.8x.
Both performance &
health visions are clear vs.
only one: 1.8x,
or neither: 3.0x.
Strong top-mgmt. commitment: 2.6x.
Cascade change story: 5.5x.
KM team governance
(charter/adaptive): 4.6x.
Performance metrics/
track progress: 7.3x.
Transparency/two-way
communications: 4.0x.
Establish a continuous learning process: 2.6x.
Incorporate K sharing (BP, LL): 4.2x.
37
In the period 1995-2010,
large-scale change success
was estimated at 30%, Kotter.
Est. now 79%, especially if
techniques as these are
used as prescriptions.
See slide text, but skip to pg 34 – CoP Maturity Model
See slide text, but skip to pg 34 – CoP Maturity Model
See sample models, possibly worthy of showing – only scroll thru, but focus on AQPC model - pg 79 and CoP Maturity Model – pg 80.
What can be learned from this anecdotal research?
Reinforces overlooked KM methods – rush to tech, weak Transformational CM
Need to look much deeper to truly diagnose ‘As-Is’ What else?
The later (2004) Kruger/Snyman Model has six phases starting with Information and Communications Technology (ICT) as the enabler, and with the need for KM Principles and Policies following shortly thereafter as phases 2 and 3.
The later (2004) Kruger/Snyman Model has six phases starting with Information and Communications Technology (ICT) as the enabler, and with the need for KM Principles and Policies following shortly thereafter as phases 2 and 3.
In 2002, the US Government funded a k maturity model. It may not have been as graphically appealing as the other models, but had some very good detail.
It had Areas and sub-areas, but was a four-phased model including baseline, Initial, Transitional and Advanced levels and focused on K Use, Workforce Socialization and Workforce Collaboration.
See slide text, but skip to pg 34 – CoP Maturity Model
Workable, but very narrowly-focused maturity model.
One key issue – no depth. In words of famously successful commercial, “Where’s the beef?”