Information & Knowledge management for Facilities Management Facilities Management is making a web of decisions across the whole process. Making informed decision needs information; making correct decision needs knowledge. That is why we will talk about information/knowledge management in Facilities Management 1. Concepts of data, information, and knowledge 2. Major information in the practice of construction project management 3. Significance of promoting information management in the practice of construction project management 4. Major principles of implementing information management 5. Information management system 6. Typical problems with information management in the practice of construction project management 1. Concepts of data, information, and knowledge 1. Data: symbols 2. Information: data that are processed to be useful; provides answers to "who", "what", "where", and "when" questions 3. Knowledge: application of data and information; answers "how" questions 4. Understanding: appreciation of "why" 5. Wisdom: evaluated understanding. Ackoff indicates that the first four categories relate to the past; they deal with what has been or what is known. Only the fifth category, wisdom, deals with the future because it incorporates vision and design. With wisdom, people can create the future rather than just grasp the present and past. But achieving wisdom isn't easy; people must move successively through the other categories.
A further elaboration of Ackoff's definitions follows: Data... data is raw. It simply exists and has no significance beyond its existence (in and of itself). It can exist in any form, usable or not. It does not have meaning of itself. In computer parlance, a spreadsheet generally starts out by holding data. Data usually refers to facts obtained through empirical records, research or observation. Data will be processed and then become information. Data is derived from facts or events in the real world and that can be recorded. Data can be text, image, pictures or numbers in their unprocessed forms. In the application of computing knowledge or software, the word “data” means something expressed as one or more numbers, or a string of alphabetic characters, to be fed into a mathematical or logical procedure. Data thus sometimes implies what is fed to a computer (i.e. the input), while result emerging from the process is the output or information. Information... information is data that has been given meaning by way of relational connection. This "meaning" can be useful, but does not have to be. In computer parlance, a relational database makes information from the data stored within it. Information is the processed data presented in a given situation, which enables effective action. In other words, information is meaningful data which influences a decision or which is used for an action. "Meaningful" implies that the presentation of information after data processing is understandable and useful to the users. Thus the quality of information is determined by: • Data (source of information) • Data process (data analysis, data interpretation, data presentation, which determine the accuracy and mode of presentation of information) • User (Information has different value to different users)
Knowledge... knowledge is the appropriate collection of information, such that it's intent is to be useful. Knowledge is a deterministic process. When someone "memorizes" information (as less-aspiring test-bound students often do), then they have amassed knowledge. This knowledge has useful meaning to them, but it does not provide for, in and of itself, an integration such as would infer further knowledge. For example, elementary school children memorize, or amass knowledge of, the "times table". They can tell you that "2 x 2 = 4" because they have amassed that knowledge (it being included in the times table). But when asked what is "1267 x 300", they can not respond correctly because that entry is not...
...Higher School of Economics
National Research University, Perm
Knowledge Chain in Rosatom Corporation: strengths and weaknesses (on the base of the book «Rosatom is Sharing Knowledge»)
Executed by the students:
Introduction ………………………………………………………………………..3Knowledge Chain in Rosatom Corporation: strengths and weaknesses…………...4
For the past several decades knowledge has become extremely important asset of a company. Nowadays large organizations and even small companies have to address the issues of KnowledgeManagement in order to increase flexibility and efficiency, reduce lead time and involve people as much as possible. As it was mentioned in 1996 by McKern [1; 13-18], the major forces of change are the following: globalization, higher degrees of complexity, new technologies, increased competition, changing client demands, and changing economic and political structures. So companies are starting to understand that the core and sustainable resource of competitive advantages are their employees. In other words all the...
...London School of Business & Management
BTEC Levels 4 & 5 HND Business
Unit No & Unit Title
Managing Communications, Knowledge and
HND Business Year 1 ( BTEC Level 4 )
Dr Knowledge Mpofu
Assignment Title & Type
Improving Heathrow Airport - 3rd Runway
Plans: Individual Assignment
24th September 2014
09th January 2015
Semester / Academic Year September 2014 Semester
Unit Outcomes Covered:
LO1. Understand how to assess information and knowledge needs
LO2. Be able to create strategies to increase personal networking to widen
involvement in the decision-making process
LO3. Be able to develop communication processes
LO4. Be able to improve systems relating to information and knowledge .
GRADING OPPORTUNITIES AVAILABLE
Dr Knowledge Mpofu
...This is a summary of Knowledgemanagement and organizational culture: a theoretical integrative journal by Rajnish Kumar Rai, a police officer who at the time was based at the Indian Institute of Management, Ahmedabad India. For this research, he used a conceptual method by comparing previous findings and thoughts.
At first, the author underlines the importance of knowledge in today’s rapid changing world and how most of the experts agree on the continuous improvement of knowledge as one of the most critical factor for an organization to survive, and knowledgemanagement takes a large part in it. Furthermore, recognizing and understanding the linkage between the knowledge creation and the organization values are what the organizations should be doing first before applying the knowledgemanagement in the organization. A mismanagement of knowledge creation will lead the organization not into an innovation but confusion. Unfortunately, this important part, the knowledge creation, does not have a framework for an effective and systematical approach to be used in different type of organizations. There are a lot of theories that support this idea but they do not have a practical approach of how to be implemented.
Subsequently, the author acknowledges that many researches supported the theory...
...I have tendency of conscientiousness because I am always follow a schedule, organized, accurate, pay attention to details, dependable and responsible.
2) Define the four types of distortion in perception. Provide an example of each
Stereotyping is a set of beliefs about the characteristics of a group of people.
Example: Politicians are considered as manipulative and corrupt. Women like make-up
Halo effect: forming an impression of an individual based on a single trait
Example: When the Samsung Galaxy was released, there was speculation in the market place that the sales of Galaxy Notes would increase because of the success of the Galaxy. The belief was based on the halo effect, when a customer had a great experience with the Galaxy, he or she would buy a Galaxy Notes simply because it is made by Samsung.
Recency effect: Tendency to remember recent information better than earlier information
Example: When you read a power point slides, you will remember the most recent slide clearly then the previous ones.
Causal attributions: Activity of inferring causes for observed behaviors. Two tendencies that can distort one’s interpretation of observed behavior: the fundamental attribution bias and self- serving bias
Example: An “A” student likely to attribute his grade to high ability or hard work, but “D” student usually blame of bad luck, unclear test or difficult instructor.
3) Define the Pygmalion effect. How...
...IS STRASSMANN’S ‘KNOWLEDGEMANAGEMENT’ AN IMPORTANT METRIC
By: Masoud. Noordeh (DBA student)
In today’s dynamic business environment, Knowledgemanagement systems facilitate organizational learning and knowledge creation. They are designed to provide rapid feedback to knowledge workers and significantly improve business performance. This paper examines the concept of knowledgemanagement metric from the view point of Paul Strassmann.
Keywords: Knowledge, Performance Management Metric, KnowledgeManagement.
Knowledgemanagement has become one of the major performance management and companies have embraced the concept and invested in systems, people, and information technologies to this purpose. On the other hand, there has been the pressure to move away from the traditional performance management metrics which are considered to be ‘backward looking accounting based performance measurement systems’ that only focuses on traditional cost accounting (Bourne et al. 2000).
Knowledgemanagement has been introduced by Strassmann (1999), Drucker (1995), and others as an important metric for measuring performance. According to Knapp (1998), Knowledgemanagement...
They are primary cells that form the basis for the
creation of information.
2. Information and document (record)
The information can be defined as a processed data set, that has
meaning, y and therefore are useful for who should make decisions.
The processes that add value to the data and can be
transformed into information:
We can define INFORMATION:
data processed communication content
providing the new knowledge
aims and is able to change the way the receiver perceives
impacting on their value judgments and behaviors.
All support capable of communicating information.
Object created with the deliberate intention of transmitting
information only (Information Science).
Documents for quality must meet the following criteria:
•Its origin should be evident and verifiable
•The information provided must be verifiable and come
from renowned authors and publishers
•Must be reachable and usable
Sins of KnowledgeManagement
core tenet of any organizational learning project is that without
detecting and correcting errors in "what we know" and "how we
learn," an organization's knowledge deteriorates, becomes obsolete,
and can result in "bad" decisions. Because systematic attention to
knowledgemanagement is relatively recent, it is particularly important to detect
these errors so that knowledgemanagement does not become yet another management fad that promised much but delivered little. If we do not identify and
try to resolve these errors, "what we know" about knowledgemanagement may
become little else but mythology. As a consequence, we will be faced with the
ultimate knowledge irony: efforts to manage knowledge are themselves based
upon faulty knowledge principles.
The purpose of this article is to draw attention to a set of pervasive
knowledgemanagement errors. These reflections are based on the authors'
observing or partaking in over one hundred knowledge projects over the past
five years or so. The focus is on fundamental errors, that is, errors that if left
uneorreeted inhibit genuine knowledge from being developed and leveraged.
These are errors associated...
...Chapter 11: Business Intelligence and KnowledgeManagement
Data Mining and Online Analysis
* Data warehouses are useless without software tools
* Process data into information
* Business intelligence (BI): information gleaned with information tools
* Data mining: selecting, exploring, and modeling data
* Supports decision making
* Finds relationships and ratios within data
* Finds unknown relationships
* Queries are more complex than traditional
* Combination of data-warehouse and data-mining facilitates predictions
* Data mining has four objectives
* Sequence or path analysis
* Techniques applied to various fields
* Fraud detection
* Marketing to individual
* Data mining can predict customer behavior
* Find profitable customers
* Find patterns of fraud
* Mobile phones
* Customers tend to switch companies often
* Customer loyalty programs ensure steady flow of customer data
Potential Applications of Data Mining
Data Mining Application | Description |
Consumer clustering | Identify the common characteristics of consumers who tend to buy the same products and services...