A paper on KM for SMEs and how to leverage KM for growth and achieve organisational growth. This was also a lead article in 2004.
Senthilkumar Rajappan
HR solutions have been moving to the cloud for a while now. They join a mix of other assets and applications in the digital HR ecosystem including homegrown apps, several on-premises vendor solutions, and the technology offerings of HR-outsourced partners. Add to this landscape one or more global ERPs (that may be moving to the cloud) and emerging enterprise mobile capabilities, and we can observe a complex set of expensive, mostly transaction- and process-centric business solutions in constant motion.
Infochimps Survey: What IT Teams Want CIOs to Know About Big Data - Learn the top items that IT team members would like their CIOs to understand concerning their Big Data projects.
The report - CIOs & Big Data: What Your IT Team Wants You to Know - is based on a survey of more than 300 IT department employees, 58% of whom are currently engaged in Big Data projects, and aims to identify pitfalls that implementation teams encounter, and could avoid, if top management had a more complete view.
Enterprise Knowledge Workers: Understanding Risks and OpportunitiesFindWhitePapers
Examine the nature of collaboration-intensive knowledge work, challenges posed by IT, and related costs. Enterprise workers need easier access to information across disciplines and functions, better contextual information, collaboration tools, and automated provisions to protect data integrity and security.
A 3 day examination preparation course including live sitting of examinations for students who wish to attain the DAMA Certified Data Management Professional qualification (CDMP)
chris.bradley@dmadvisors.co.uk
The Long Road of IT Systems Management Enters the Domain of AIOps-Fueled Auto...Dana Gardner
A discussion on how IT management technologies and methods have evolved to optimize and automate workloads to exacting performances and cost requirements.
HR solutions have been moving to the cloud for a while now. They join a mix of other assets and applications in the digital HR ecosystem including homegrown apps, several on-premises vendor solutions, and the technology offerings of HR-outsourced partners. Add to this landscape one or more global ERPs (that may be moving to the cloud) and emerging enterprise mobile capabilities, and we can observe a complex set of expensive, mostly transaction- and process-centric business solutions in constant motion.
Infochimps Survey: What IT Teams Want CIOs to Know About Big Data - Learn the top items that IT team members would like their CIOs to understand concerning their Big Data projects.
The report - CIOs & Big Data: What Your IT Team Wants You to Know - is based on a survey of more than 300 IT department employees, 58% of whom are currently engaged in Big Data projects, and aims to identify pitfalls that implementation teams encounter, and could avoid, if top management had a more complete view.
Enterprise Knowledge Workers: Understanding Risks and OpportunitiesFindWhitePapers
Examine the nature of collaboration-intensive knowledge work, challenges posed by IT, and related costs. Enterprise workers need easier access to information across disciplines and functions, better contextual information, collaboration tools, and automated provisions to protect data integrity and security.
A 3 day examination preparation course including live sitting of examinations for students who wish to attain the DAMA Certified Data Management Professional qualification (CDMP)
chris.bradley@dmadvisors.co.uk
The Long Road of IT Systems Management Enters the Domain of AIOps-Fueled Auto...Dana Gardner
A discussion on how IT management technologies and methods have evolved to optimize and automate workloads to exacting performances and cost requirements.
Dark Side of Cloud Adoption: People and Organizations Unable to Adapt and Imp...Dana Gardner
Transcript of a discussion on how cloud adoption is not reaching its potential due to outdated behaviors and persistent dissonance between what businesses can do and will do with cloud model strengths.
How Unisys and Microsoft Team Up To Ease Complex Cloud Adoption For Governmen...Dana Gardner
A discussion how public and private sector IT organizations can ease cloud adoption using cloud-native apps, services modernization, automation, and embedded best practices.
Case Study : Aligning people capabilities to a company's digital strategyYoulab
As business looks to transform services and products to digital solutions, how can we identify people with the capabilities to support these initiatives?
Knowledge Management; The ‘One Room’ Company!, System Implementation, Talent Management, What is Records Management (RM)?, Managing Business Risk, Continuous Improvement, Renewable Program Management?
knowledge management detailed document - meaning , types, knowledge management system lifecycle, Nonaka,s model , KM myths, KM cycle, KM Audit, km matrix, km components , Knowledge application system, Knowledge capture system, Knowledge sharing system, Knowledge discovery system, codification, personalization , 5ikm3 maturity model , CMM maturity model,1. Distinguish between brainstorming and consensus decision making
2. Protocol analysis and Delphi method
3. Repertory guard and nominal group
4. Black boarding and electronic brain storming
This takes a look at the architectural constructs that are used for building business intelligence systems and how they are used in business processes to improve marketing, better serve customers, and maximize organizational efficiency.
Knowledge management (KM) has become an effective way of managing organization‟s intellectual capital or, in other words, organization‟s full experience, skills and knowledge that is relevant for more effective performance in future. The paper proposes a knowledge management to achieve a competitive control of the machining systems. Then an application of Knowledge Management in engineering has been attempted to explain. The model can be used by the manager for the choosing of competitive orders.
מצגת הסוקרת נקודות מרכזיות בתחום ניהול הידע כיום.
למה מתכוונים כשאומרים ניהול ידע? מה זה ידע? מה נופל תחת הכותרת של ניהול ידע? מהם סוגי הידע? היכן נמצא המידע? כיצד מתמודדים עם הצפת מידע? כיצד האינטרנט מסייע בתהליך? מהם המכשולים בדרך? למה לשתף בידע? התשתית הנדרשת, תרבות ארגונית, תפקיד מנהל הידע, וכלים לבחירת טכנולוגיה.
המצגת באנגלית מאת שמעון ברק מנהל ידע באמדוקס הוצגה בקורס ניהול ידע.
Dark Side of Cloud Adoption: People and Organizations Unable to Adapt and Imp...Dana Gardner
Transcript of a discussion on how cloud adoption is not reaching its potential due to outdated behaviors and persistent dissonance between what businesses can do and will do with cloud model strengths.
How Unisys and Microsoft Team Up To Ease Complex Cloud Adoption For Governmen...Dana Gardner
A discussion how public and private sector IT organizations can ease cloud adoption using cloud-native apps, services modernization, automation, and embedded best practices.
Case Study : Aligning people capabilities to a company's digital strategyYoulab
As business looks to transform services and products to digital solutions, how can we identify people with the capabilities to support these initiatives?
Knowledge Management; The ‘One Room’ Company!, System Implementation, Talent Management, What is Records Management (RM)?, Managing Business Risk, Continuous Improvement, Renewable Program Management?
knowledge management detailed document - meaning , types, knowledge management system lifecycle, Nonaka,s model , KM myths, KM cycle, KM Audit, km matrix, km components , Knowledge application system, Knowledge capture system, Knowledge sharing system, Knowledge discovery system, codification, personalization , 5ikm3 maturity model , CMM maturity model,1. Distinguish between brainstorming and consensus decision making
2. Protocol analysis and Delphi method
3. Repertory guard and nominal group
4. Black boarding and electronic brain storming
This takes a look at the architectural constructs that are used for building business intelligence systems and how they are used in business processes to improve marketing, better serve customers, and maximize organizational efficiency.
Knowledge management (KM) has become an effective way of managing organization‟s intellectual capital or, in other words, organization‟s full experience, skills and knowledge that is relevant for more effective performance in future. The paper proposes a knowledge management to achieve a competitive control of the machining systems. Then an application of Knowledge Management in engineering has been attempted to explain. The model can be used by the manager for the choosing of competitive orders.
מצגת הסוקרת נקודות מרכזיות בתחום ניהול הידע כיום.
למה מתכוונים כשאומרים ניהול ידע? מה זה ידע? מה נופל תחת הכותרת של ניהול ידע? מהם סוגי הידע? היכן נמצא המידע? כיצד מתמודדים עם הצפת מידע? כיצד האינטרנט מסייע בתהליך? מהם המכשולים בדרך? למה לשתף בידע? התשתית הנדרשת, תרבות ארגונית, תפקיד מנהל הידע, וכלים לבחירת טכנולוגיה.
המצגת באנגלית מאת שמעון ברק מנהל ידע באמדוקס הוצגה בקורס ניהול ידע.
Introduction
Why knowledge and knowledge management
What is KM
Knowledge Evolution Process
Types of Knowledge
KM Approaches – Overview
Knowledge Creation Model
This is a part of our Technology Entrepreneurship Venture Lab 2012 Course.
We were supposed to do a marketing plan on an idea submitted by another colleague of ours.
When listening about building new Ventures, Marketplaces ideas are something very frequent. On this session we will discuss reasons why you should stay away from it :P , by sharing real stories and misconceptions around them. If you still insist to go for it however, you will at least get an idea of the important and critical strategies to optimize for success like Product, Business Development & Marketing, Operations :)
Reflect Festival Limassol May 2024.
Michael Economou is an Entrepreneur, with Business & Technology foundations and a passion for Innovation. He is working with his team to launch a new venture – Exyde, an AI powered booking platform for Activities & Experiences, aspiring to revolutionize the way we travel and experience the world. Michael has extensive entrepreneurial experience as the co-founder of Ideas2life, AtYourService as well as Foody, an online delivery platform and one of the most prominent ventures in Cyprus’ digital landscape, acquired by Delivery Hero group in 2019. This journey & experience marks a vast expertise in building and scaling marketplaces, enhancing everyday life through technology and making meaningful impact on local communities, which is what Michael and his team are pursuing doing once more with Exyde www.goExyde.com
Salma Karina Hayat is Conscious Digital Transformation Leader at Kudos | Empowering SMEs via CRM & Digital Automation | Award-Winning Entrepreneur & Philanthropist | Education & Homelessness Advocate
Knowledge Management for small sized and medium enterprises
1. KNOWLEDGE MANAGEMENT FOR SMALL SIZEDAND MEDIUM ENTERPRISES
R Senthilkumar*
Introduction:
The technology driven companies have now become knowledge driven companies. All that will
make a difference is whether youknow or not. In this highly competitive scenario it is imperative that
Small and Medium Sized Enterprises also take note of the latest buzzword in the changing scenario-
Knowledge Management. It might do well to change itself to the future and that will be on how well
we manage things for the enterprise. There is the coming back of ERP in a totally different phase all
customised and enhancing the role of Supply Chain Management and inventories. This is where
Knowledge Management comes to the play as a very imperative tool today, which has gone beyond
the MIS role of data collection and analysis. Here is a challenge to involve everybody to get into the
act, right from the junior employee to the highest decision-maker. How does it reflect on the SMEs?
Let'stakealook.
It is a supercool fact that the Knowledge Management will depend solely on the flow of knowledge
and the dissemination and most importantly theresponsefrom the receiver.
There are various factors responsible for the success of the Knowledge Management. For a growing
company this is of prime importance because it could be the winning strategy for its success in the
short term as well as long term scenario. The factors that contribute heavily in making the difference
willbeKFMi.e.,KnowledgeFlowManagement,playingitsaceinthecurrentindustryscenario.
The individuals who are responsible to make the knowledge flow, a smooth one, will naturally
makeorbreaktheflow.
MANAGINGKM-AHEARTROBBINGSTYLE:
The definition of knowledge management always holds good as the information or data available to
theresourcepeoplewhomakeadecisionforthecompanyinallitslevelsoffunctioning.
Knowledge=informationtranslatedintoapplication
It's a bitter-sweet fact that there is a vast resource of knowledge available but the constraints are
alpha plus in getting the right source and more so the right implementation. Therefore, the
organization needs to check the veracity as well as the applicability of knowledge gathered for the
better utilisation of resources and the infrastructure, which makes the bee in the bonnet.
Knowledge Management needs to be defined in the context applied and here with the round the clock
truth, we need to look more into the intricacies of the industry where it is applied; the flow of
knowledgeandthepeopleinvolved.
There are different ways of gathering knowledge; this seems to be the best part and every objective
method is to get knowledge the right way to the right person in question which will convert
information into knowledge which is valid and more reliable.
Here is a presentation on the topic of Knowledge Acquisition& Implementation with respect to
Small and Medium Sized Enterprises.
* Corporate Communications, Sona College of Technology, Salem, TamilNadu India.
2. The five steps involved in Knowledge Acquisition and Iimplementation is name as KAI Pyramid.
The components of the pyramid are as follows:
1. Knowledge Ether
2. Knowledge Clutter
3. Knowledge Filtering
4. Knowledge Streamlining
5. Knowledge Acquisition & Implementation
These are five steps of the pyramid of KAI, and as we go nearer to the goal of realising the true value
of information: translated to knowledge, it takes the pyramid route to perfection and achieve
organisational goals with respect to the details involved in each layer.
Knowledge Ether:
This is the base of the pyramid on which the KAI is built on. Since the information and knowledge is
available with the large resources either Internet or book and articles, it will be really a tough
proposition to ask for relevant information in such a scattered & confused state and those are not
specific and organised. This ether can also be the constitution of a lot of other factors, emails,
personal communication channels, mass media and other reliable sources may be even word of
mouth. Thus it need not be an organized effort to gain knowledge in terms of what the person in the
authority needs to know and acquire for him and the ether can get him what ever he wants in
measures that are very big and unorganised. It will be like said earlier, KM will depend on the
3. individual and this will contribute to their success and implementation.
There has been an innumerable times when a slice of life incident has lead to the discovery of the best
of principles and may be the wildest of inventions. Thus ether will be a sea of opportunity for those
looking at Knowledge Management and also effective utilisation of knowledge will depend solely n
the individual and of course on the higher authority over him.
But as it goes up the order, it becomes an organised effort of gaining knowledge and acquiring it for
effective implementation. In the case of SMEs, it leads to the best of effective utilisation of
knowledge management. All the more easier because each department can actually set itself into
streamlining and identifying data All the departments in any given organisation will put in a co-
ordinated effort to administer knowledge and manage it effectively.
Knowledge Clutter:
The second part makes knowledge management still more interesting. Here we come to organise
things in such a way as to make a classification with what is that we need and want and hence there is
an idea of making it go the right road. May be it is a journey from the forest to the road where you
could spot the road and it might still be a hazy picture, never the less, it could be the beginning of a
greatjourneyahead.
This could very well be the first ether, but a differentiation has been made since there is an effort to
organise us in fitting it to our need. Therefore this step is a prelude to deciding whether we need to
take as much from the ether or just go deciding against skipping some components. This
differentiation is depicted in the second diagram of flow of effective knowledge management.
Knowledge Filtering:
After knowledge cluttering by organisation, the next part involves the process of defining what
exactly will have to be channelized as knowledge and other data as information, here we shall define
knowledge as the applied information. There are various departments in each industry. Now how do
we give the information only relevant to the department or do we give all the information? Here we
will do the filtering in as much terms as we require a definition. Say, the marketing department need
not get the whole picture of the R & D department and vice versa. So there is thin line drawn in
making it as the information, and just information. That could be the filtering process and if you take
a closer look at the pyramid and the KFM at Work , it will be more than sufficiently to understand
whyitisneeded.
There will be of course need to filter information for any industry, but the people especially the
marketing will need to gear themselves to accepts the challenge that is posted by knowledge filtering
becausetheymightloseoncrucialinformationintermsofcompositionandclientsspecification.
This part will also be internal to the organisation. This will ensure effective exchange of information
and ideas within the organisation, which eventually will cause the broad based filtering of
information and knowledge.
Knowledge Streamlining:
This phase of KAI is crucial because when the knowledge being but not been channelized or
distributed properly it will make a hell of waste. This phase needs to guarantee that the information
has reached the desk of the competent authority and has been accepted. It could even be e-mail, and
itcouldbeamemo.
4. The chart shows how the KAI pyramid is implemented and actually made into achieving
organisational goals. The part of every individual is important in the sense that they will
contribute to identifying knowledge relevant to the organisation in their own capacity. The flow
can also be straight to the top level whenever warranted and through proper channelwhich will
enable the participation of all those involved in the decision making.
5. The purpose of this phase of the KAI process will depend on the communication channel of the
organisation. It also depends on the individual to the extent the individual decides to react.
Knowledge Acquisition and Implementation:
The final stage of the process calls for practical implementation of whatever knowledge has been
gained. The implementation of this will depend on the efficiency of the people and the way the
knowledgehasbeenadministered.
As per the famous saying “The mind is like a parachute it's useful only if it's open”. The
knowledge will lay waste if not utilised so this is the exact time for the organisation to realise that
fourlevelshavebeenadministeredinitsproperperspectiveandwillgenerateautomaticresults.
This triangle can be used for any number of departments and it will be bisected or shared according
to the number of departments the organisation has. Suppose we have a three-way department as in an
X company, we can generate the same type of diagrams as given at 120 degrees each. Knowledge
Management has to be done in a way that reflects accessibility to ideas and more importantly to work
functions of a group or an individual.
Conclusion:
The implementation of KM with this pyramid and actual practice will be served best with the finding
the right methodology for implementation and redesignation of the departments involved. It should
also be borne in mind that it is a two way communication channel in each of the layers in effecting the
real acquisition of knowledge.
A ship in a harbour is always safe but it is not the purpose for which it is built for.