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Sunday, September 30, 2012

The Information Age


What will happen to you today if you do not know how to read and write? The same thing may happen to you in the next ten years if you do not know how to use a computer or a smart phone. People who do not understand this or do not know the impact of information technology will be at a disadvantage just like people who do not know how to read and write today. 

Fifty years ago, computing skills were limited only to scientists who worked with huge mainframe computers. Today computer is everywhere, in every home, in everyone’s pocket. It took about twenty years for computing technology to change from mainframes for scientists to personal computers for everybody. In order to predict the future impact of information technology (IT) we may need to look back twenty years ago. Have you ever wondered what happen to the typewriter? Not long ago, most offices have secretaries who sat in front of typewriters to type documents. Today they all use personal computers and the Internet to type document with word procession software and send emails. There is no need for envelops and stamps anymore. Have you asked what happened to secretaries who do not learn to use computer? What kind of job do they have if all they know is how to use typewriter? 

Not long ago, most offices have file cabinets where paper copies were filed, organized and stored in file cabinets using an index mark from A to Z. Today there are databases where files can be stored, updated and retrieved in a matter of minutes. Have you ever wondered what kind of job those filing clerks do if they do not learn how to use database? Information technology has automated many office works to the point of perfect efficiency. Today everyone who works in offices must know something about computer and information technology.

Not long ago, listen to music on the radio was common. Today few people listen to radio anymore but they all have their mobile phone or MP3 devices that can store thousands of songs where they can listen anytime they want. Not long ago music was stored on record, than technology created cassette tapes and most records disappeared. Cassette tape was replaced by CD and it also disappeared too. Today CD is quickly disappeared as most music can be downloaded from the Internet. Have you ever wondered what happen to companies that make records? or companies that make cassette tapes or even companies that make CD? Most of them do not exist anymore as information technology changes many things. Have you wondered how many are still listen to music from the radio? How many people are buying radio today? or they all switch to mobile phone, MP3, and flat Screen 3D TV instead?

Today information technology has automated so many things in our lives that few people even pay attention. You can buy almost everything on line without leaving your home. You can talk to people and see their face using your laptop or smart-phone. You can download movies, music, news, games and many things into your smart phone or access to millions of books, movies, music online at a click of a mouse. As the world is getting smaller and everything is connected, information technology is becoming so important and the roles of IT workers are getting more critical.

For example, with cloud computing, the role of IT workers is changing from development into business integration. IT workers will need to learn more about the business. Since IT infrastructures and development tools are provided by cloud computing company, the new role of IT workers will be focusing on creates business advantages by applying IT knowledge into the business. Today IT is limited by what the business asks it to do as it is a supporting function. In the next few years IT will tell the business what the business could do to take advantage of technology as it will become a strategic function. This will require new thinking, new concept, new training in the way IT workers and business operates.

In the past company organized workers into separate groups according to knowledge and skills. Each group has its own management and budget because dividing works and responsibility allows them to concentrate on what they do best. However, this functional organization with multiple levels also creates bureaucracy and slow thing down as decision is often made at the top. In this highly competitive world, efficiency is the new rule and organization structure is evolving into a “Flat structure” with minimum numbers of level where many functions are outsourced. For example, instead of having an information technology (IT) group, company are moving into cloud computing where IT functions are managed by an external company. This new approach breakdowns organization structure to increase efficiency and reduce costs as many functions are provided by service contractors. There is no logical reason for any business to maintain all functions when some of them can be outsourced. The business of a bank is offering financial services such as keeps money for individual and makes loans for others. A bank does not need to have an IT group to maintain its computer systems. It should outsource IT works to a cloud computing company so it can focus on what it does best: Offer financial services. The cloud computing company should focus on what it does best: offer IT services. It is estimated that soon most companies will transition into this “Flat structure” for better efficiency and lower costs to stay competitive. The new approach is to have the whole company focuses on deliver its product or services in a sufficient quantity, effectively and efficiently at the best market's price possible.

With this new approach comes the changing of affiliation. In the past, most people only work in one company for many years, but today people will change job and company when there is better opportunity. Technology changes will force people to constantly learning new skills, discover new careers, or explore new possibilities. Skilled workers can select which company to work for. Many works do not require workers to be on site but can work remotely from home. Today about 35% of IT workers are working at home and connect to the company via the Internet. this approach saves company a lot of money for not spending on office spaces or electricity and increase profit.

In this fast changing world, it is important to stay current with technology and understand the trends. It will require a new thinking, a new approach, a new way to work. It will also require new approach to educate students to prepare them for the future such as an education system that focuses more on Science, Technology, Engineering and Mathematics (STEM). Remember that we are in the 21st century or the Information Age already.
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Prof. Vu
Carnegie Mellon University
source: http://www.segvn.org/forum/mvnforum/viewthread_thread,1956

Saturday, September 29, 2012

Skilled Work, Without the Worker

DRACHTEN, the Netherlands — At the Philips Electronics factory on the coast of China, hundreds of workers use their hands and specialized tools to assemble electric shavers. That is the old way. 

At a sister factory here in the Dutch countryside, 128 robot arms do the same work with yoga-like flexibility. Video cameras guide them through feats(kỳ công) well beyond the capability of the most dexterous(khéo léo)human.
One robot arm endlessly(vô tận) forms three perfect bends in two connector wires and slips them into holes almost too small for the eye to see. The arms work so fast that they must be enclosed in glass cages to prevent the people supervising them from being injured. And they do it all without a coffee break — three shifts(ca làm việc) a day, 365 days a year.
All told, the factory here has several dozen workers per shift, about a tenth(1/10) as many as the plant in the Chinese city of Zhuhai.
This is the future. A new wave of robots, far more adept(tinh thông) than those now commonly used by automakers and other heavy manufacturers, are replacing workers around the world in both manufacturing and distribution. Factories like the one here in the Netherlands are a striking counterpoint to those used by Apple and other consumer electronics giants, which employ hundreds of thousands of low-skilled workers.
“With these machines, we can make any consumer device in the world,” said Binne Visser, an electrical engineer who manages the Philips assembly line in Drachten.
Many industry executives and technology experts say Philips’s approach is gaining ground on Apple’s. Even as Foxconn, Apple’s iPhone manufacturer, continues to build new plants and hire thousands of additional workers to make smartphones, it plans to install more than a million robots within a few years to supplement its work force in China.
Foxconn has not disclosed how many workers will be displaced or when. But its chairman, Terry Gou, has publicly endorsed a growing use of robots. Speaking of his more than one million employees worldwide, he said in January, according to the official Xinhua news agency: “As human beings are also animals, to manage one million animals gives me a headache.
The falling costs and growing sophistication of robots have touched off a renewed debate among economists and technologists over how quickly jobs will be lost. This year, Erik Brynjolfsson and Andrew McAfee, economists at the Massachusetts Institute of Technology, made the case for a rapid transformation. “The pace and scale of this encroachment(xâm lấn) into human skills is relatively recent and has profound economic implications,” they wrote in their book, “Race Against the Machine.”
In their minds, the advent(xuất hiện) of low-cost automation foretells(báo trước) changes on the scale of the revolution in agricultural technology over the last century, when farming employment in the United States fell from 40 percent of the work force to about 2 percent today. The analogy is not only to the industrialization of agriculture but also to the electrification of manufacturing in the past century, Mr. McAfee argues.
“At what point does the chain saw replace Paul Bunyan?” asked Mike Dennison, an executive at Flextronics, a manufacturer of consumer electronics products that is based in Silicon Valley and is increasingly automating assembly work. “There’s always a price point, and we’re very close to that point.”
But Bran Ferren, a veteran roboticist and industrial product designer at Applied Minds in Glendale, Calif., argues that there are still steep obstacles that have made the dream of the universal assembly robot elusive. “I had an early naïveté about universal robots that could just do anything,” he said. “You have to have people around anyway. And people are pretty good at figuring out, how do I wiggle the radiator in or slip the hose on? And these things are still hard for robots to do.”
Beyond the technical challenges lies resistance from unionized workers and communities worried about jobs. The ascension of robots may mean fewer jobs are created in this country, even though rising labor and transportation costs in Asia and fears of intellectual property theft are now bringing some work back to the West.
Take the cavernous solar-panel factory run by Flextronics in Milpitas, south of San Francisco. A large banner proudly proclaims “Bringing Jobs & Manufacturing Back to California!” (Right now China makes a large share of the solar panels used in this country and is automating its own industry.)
Yet in the state-of-the-art plant, where the assembly line runs 24 hours a day, seven days a week, there are robots everywhere and few human workers. All of the heavy lifting and almost all of the precise work is done by robots that string together solar cells and seal them under glass. The human workers do things like trimming excess material, threading wires and screwing a handful of fasteners into a simple frame for each panel.
Such advances in manufacturing are also beginning to transform other sectors that employ millions of workers around the world. One is distribution, where robots that zoom at the speed of the world’s fastest sprinters can store, retrieve and pack goods for shipment far more efficiently than people. Robots could soon replace workers at companies like C & S Wholesale Grocers, the nation’s largest grocery distributor, which has already deployed robot technology.
Rapid improvement in vision and touch technologies is putting a wide array of manual jobs within the abilities of robots. For example,Boeing’s wide-body commercial jets are now riveted automatically by giant machines that move rapidly and precisely over the skin of the planes. Even with these machines, the company said it struggles to find enough workers to make its new 787 aircraft. Rather, the machines offer significant increases in precision and are safer for workers.
And at Earthbound Farms in California, four newly installed robot arms with customized suction cups swiftly place clamshell containers of organic lettuce into shipping boxes. The robots move far faster than the people they replaced. Each robot replaces two to five workers at Earthbound, according to John Dulchinos, an engineer who is the chief executive at Adept Technology, a robot maker based in Pleasanton, Calif., that developed Earthbound’s system.
Robot manufacturers in the United States say that in many applications, robots are already more cost-effective than humans.
At an automation trade show last year in Chicago, Ron Potter, the director of robotics technology at an Atlanta consulting firm called Factory Automation Systems, offered attendees a spreadsheet to calculate how quickly robots would pay for themselves.
In one example, a robotic manufacturing system initially cost $250,000 and replaced two machine operators, each earning $50,000 a year. Over the 15-year life of the system, the machines yielded $3.5 million in labor and productivity savings.
The Obama administration says this technological shift presents a historic opportunity for the nation to stay competitive. “The only way we are going to maintain manufacturing in the U.S. is if we have higher productivity,” said Tom Kalil, deputy director of the White House Office of Science and Technology Policy.
Government officials and industry executives argue that even if factories are automated, they still are a valuable source of jobs. If the United States does not compete for advanced manufacturing in industries like consumer electronics, it could lose product engineering and design as well. Moreover, robotics executives argue that even though blue-collar jobs will be lost, more efficient manufacturing will create skilled jobs in designing, operating and servicing the assembly lines, as well as significant numbers of other kinds of jobs in the communities where factories are.
And robot makers point out that their industry itself creates jobs. A report commissioned by the International Federation of Robotics last year found that 150,000 people are already employed by robotics manufacturers worldwide in engineering and assembly jobs.
But American and European dominance in the next generation of manufacturing is far from certain.
“What I see is that the Chinese are going to apply robots too,” said Frans van Houten, Philips’s chief executive. “The window of opportunity to bring manufacturing back is before that happens.”
A Faster Assembly Line
Royal Philips Electronics began making the first electric shavers in 1939 and set up the factory here in Drachten in 1950. But Mr. Visser, the engineer who manages the assembly, takes pride in the sophistication of the latest shavers. They sell for as much as $350 and, he says, are more complex to make than smartphones.
The assembly line here is made up of dozens of glass cages housing robots made by Adept Technology that snake around the factory floor for more than 100 yards. Video cameras atop the cages guide the robot arms almost unerringly to pick up the parts they assemble. The arms bend wires with millimetric accuracy, set toothpick-thin spindles in tiny holes, grab miniature plastic gears and set them in housings, and snap pieces of plastic into place.
The next generation of robots for manufacturing will be more flexible and easier to train.
Witness the factory of Tesla Motors, which recently began manufacturing the Tesla S, a luxury sedan, in Fremont, Calif., on the edge of Silicon Valley.
More than half of the building is shuttered, called “the dark side.” It still houses a dingy, unused Toyota Corolla assembly line on which an army of workers once turned out half a million cars annually.
The Tesla assembly line is a stark contrast, brilliantly lighted. Its fast-moving robots, bright Tesla red, each has a single arm with multiple joints. Most of them are imposing, 8 to 10 feet tall, giving them a slightly menacing “Terminator” quality.
But the arms seem eerily human when they reach over to a stand and change their “hand” to perform a different task. While the many robots in auto factories typically perform only one function, in the new Tesla factory a robot might do up to four: welding, riveting, bonding and installing a component.
As many as eight robots perform a ballet around each vehicle as it stops at each station along the line for just five minutes. Ultimately as many as 83 cars a day — roughly 20,000 are planned for the first year — will be produced at the factory. When the company adds a sport utility vehicle next year, it will be built on the same assembly line, once the robots are reprogrammed.
Tesla’s factory is tiny but represents a significant bet on flexible robots, one that could be a model for the industry. And others are already thinking bigger.
Hyundai and Beijing Motors recently completed a mammoth factory outside Beijing that can produce a million vehicles a year using more robots and fewer people than the big factories of their competitors and with the same flexibility as Tesla’s, said Paul Chau, an American venture capitalist at WI Harper who toured the plant in June.
The New Warehouse
Traditional and futuristic systems working side by side in a distribution center north of New York City show how robotics is transforming the way products are distributed, threatening jobs. From this warehouse in Newburgh, C & S, the nation’s largest grocery wholesaler, supplies a major supermarket chain.
The old system sprawls across almost half a million square feet. The shelves are loaded and unloaded around the clock by hundreds of people driving pallet jacks and forklifts. At peak times in the evening, the warehouse is a cacophony of beeping and darting electric vehicles as workers with headsets are directed to cases of food by a computer that speaks to them in four languages.
The new system is much smaller, squeezed into only 30,000 square feet at the far end of the warehouse and controlled by just a handful of technicians. They watch over a four-story cage with different levels holding 168 “rover” robots the size of go-carts. Each can move at 25 miles an hour, nearly as fast as an Olympic sprinter.
Each rover is connected wirelessly to a central computer and on command will race along an aisle until it reaches its destination — a case of food to retrieve or the spot to drop one off for storage. The robot gathers a box by extending two-foot-long metal fingers from its side and sliding them underneath. It lifts the box and pulls it to its belly. Then it accelerates to the front of the steel cage, where it turns into a wide lane where it must contend with traffic — eight robots are active on each level of the structure, which is 20 aisles wide and 21 levels high.
From the aisle, the robots wait their turn to pull into a special open lane where they deposit each load into an elevator that sends a stream of food cases down to a conveyor belt that leads to a large robot arm.
About 10 feet tall, the arm has the grace and dexterity of a skilled supermarket bagger, twisting and turning each case so the final stack forms an eight-foot cube. The software is sophisticated enough to determine which robot should pick up which case first, so when the order arrives at the supermarket, workers can take the cases out in the precise order in which they are to go on the shelves.
When the arm is finished, the cube of goods is conveyed to a machine that wraps it in clear plastic to hold it in place. Then a forklift operator summoned by the computer moves the cube to a truck for shipment.
Built by Symbotic, a start-up company based in the Boston area, this robotic warehouse is inspired by computer designers who created software algorithms to efficiently organize data to be stored on a computer’s hard drive.
Jim Baum, Symbotic’s chief executive, compares the new system to a huge parallel computer. The design is efficient because there is no single choke point; the cases of food moving through the robotic warehouse are like the digital bits being processed by the computer.
Humans’ Changing Role
In the decade since he began working as a warehouseman in Tolleson, Ariz., a suburb of Phoenix, Josh Graves has seen how automation systems can make work easier but also create new stress and insecurity. The giant facility where he works distributes dry goods for Kroger supermarkets.
Mr. Graves, 29, went to work in the warehouse, where his father worked for three decades, right out of high school. The demanding job required lifting heavy boxes and the hours were long. “They would bring in 15 guys, and only one would last,” he said.
Today Mr. Graves drives a small forklift-like machine that stores and retrieves cases of all sizes. Because such workers are doing less physical labor, there are fewer injuries, said Rome Aloise, a Teamsters vice president in Northern California. Because a computer sets the pace, the stress is now more psychological.
Mr. Graves wears headsets and is instructed by a computerized voice on where to go in the warehouse to gather or store products. A centralized computer the workers call The Brain dictates their speed. Managers know exactly what the workers do, to the precise minute.
Several years ago, Mr. Graves’s warehouse installed a German system that automatically stores and retrieves cases of food. That led to the elimination of 106 jobs, roughly 20 percent of the work force. The new system was initially maintained by union workers with high seniority. Then that job went to the German company, which hired nonunion workers.
Now Kroger plans to build a highly automated warehouse in Tolleson. Sixty union workers went before the City Council last year to oppose the plan, on which the city has not yet ruled.
“We don’t have a problem with the machines coming,” Mr. Graves told city officials. “But tell Kroger we don’t want to lose these jobs in our city.”
Some jobs are still beyond the reach of automation: construction jobs that require workers to move in unpredictable settings and perform different tasks that are not repetitive; assembly work that requires tactile feedback like placing fiberglass panels inside airplanes, boats or cars; and assembly jobs where only a limited quantity of products are made or where there are many versions of each product, requiring expensive reprogramming of robots.
But that list is growing shorter.
Upgrading Distribution
Inside a spartan garage in an industrial neighborhood in Palo Alto, Calif., a robot armed with electronic “eyes” and a small scoop and suction cups repeatedly picks up boxes and drops them onto a conveyor belt.
It is doing what low-wage workers do every day around the world.
Older robots cannot do such work because computer vision systems were costly and limited to carefully controlled environments where the lighting was just right. But thanks to an inexpensive stereo camera and software that lets the system see shapes with the same ease as humans, this robot can quickly discern the irregular dimensions of randomly placed objects.
The robot uses a technology pioneered in Microsoft’s Kinect motion sensing system for its Xbox video game system.
Such robots will put automation within range of companies like Federal Express and United Parcel Service that now employ tens of thousands of workers doing such tasks.
The start-up behind the robot, Industrial Perception Inc., is the first spinoff of Willow Garage, an ambitious robotics research firm based in Menlo Park, Calif. The first customer is likely to be a company that now employs thousands of workers to load and unload its trucks. The workers can move one box every six seconds on average. But each box can weigh more than 130 pounds, so the workers tire easily and sometimes hurt their backs.
Industrial Perception will win its contract if its machine can reliably move one box every four seconds. The engineers are confident that the robot will soon do much better than that, picking up and setting down one box per second.
“We’re on the cusp of completely changing manufacturing and distribution,” said Gary Bradski, a machine-vision scientist who is a founder of Industrial Perception. “I think it’s not as singular an event, but it will ultimately have as big an impact as the Internet.”
source: http://www.nytimes.com/2012/08/19/business/new-wave-of-adept-robots-is-changing-global-industry.html?pagewanted=1&_r=0&ref=technology



The need for IT workers

Microsoft suggests that the U.S government let companies, including itself, pay higher fees to bring more foreign workers to the U.S. and government can use the proceeds to educate more U.S engineers to solve the country’s technology workers shortage. The company says the plan could produce $500 million annually to help fund U.S. education in science, technology, education and math (STEM), while helping technology companies by letting them bring in more IT workers from overseas.

Brad Smith, Microsoft’s general counsel wrote: “Ultimately, we cannot expect to build the economy of the future with only the jobs of the past, we must prepare the next generation for the waves of technological innovation” The company released a 30-page whitepaper document titled “National Talent Strategy,” that outlines ideas and solutions to help secure U.S. competitiveness and economic growth.

Even as an unemployment rate is around 8 percent, the U.S. government estimates that there are still 3.7 million jobs in U.S. that goes unfilled. Many of those require STEM (science, technology, engineering and mathematics) skills, but tech companies such as Microsoft, Google, Facebook, Apple, and Oracle all say that they have trouble finding qualified IT workers. Microsoft says it has more than 6,000 open jobs in the U.S. in 2012 but only find a few qualified workers. It is estimated that there are over 90,000 software jobs that cannot find qualified workers in the IT industry. 

The main thing from the document is that Microsoft wants to pair long-term improvements in STEM education in the U.S. with short-term, high-skilled immigration reforms. Microsoft recommends that technology pay $10,000 per worker to bring foreign software workers in under special visas, and $15,000 to pay for their green card applications. This proposal can create an effective national strategy to keep jobs in the U.S. by providing a supply of skilled employees who can fill these jobs here, both now and in the future,” the document reads.

Government studies show that between 2010 and 2020, the U.S. economy will produce more than 125,000 computing jobs per year requiring a bachelor’s degree. Yet currently, the country has just 40,000 technology graduates annually. So how does the country produce more talent? Microsoft wants to bridge the gap with high-skilled immigration reform to help attract the world’s best software workers into the U.S. economy. Microsoft proposes: “There must be a way for the best and the brightest IT workers in the world to participate in growing U.S. businesses, creating new jobs and strengths our economy by allowing them to come and work in the U.S,”.
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Prof. Vu
Carnegie Mellon University
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source: http://www.segvn.org/forum/mvnforum/viewthread_thread,1939

Friday, September 28, 2012

From Information Management to Knowledge Management: Are You Prepared?

Dr David J. Skyrme

The following is the full text of a paper that was delivered at OnLine '97 (9-11 December 1997). Reproduced with the permission of Learned Information Europe Ltd. Tel: +44 (0)1865 388000. Fax: +44 (0)1865 736354. A follow-on paper Information Managers: Do We Need Them? was presented at Online Information 2004.

This paper reviews the role of the Internet in the current 'knowledge revolution'. Knowledge has emerged as a current 'hot topic' for many organisations. Many see knowledge management as the next source of competitive advantage.
The paper starts by exploring the momentum in the knowledge agenda and reviews the current state of theory and practice, based on an international study of best practice. It then considers the role of information systems, and especially how the evolution of the Internet and Intranets can contribute to effective knowledge management. These themes are together in frameworks that shape the role of the technological infrastructure in knowledge work. It is concluded that collaborative technologies and information management both have significant contributions to make, but that many organisations have yet to adopt them both systematically and strategically. Implications are developed for online service providers and information professionals in how they might achieve their full potential in moving forward the strategic knowledge agenda.

1. Introduction

Every few years, a new technological development or management philosophy captures the attention of many strategic thinkers in organisations. First there was the Total Quality movement, and then Business Process Reengineering. There is no doubt, that the last couple of years has seen a surge of interest in knowledge management and also the Internet. Yet, as someone who has followed and participated in leading edge management practice for years, neither of these are really new, and neither, if you analyse trends properly, are real surprises.
It was back in 1950s that Drucker is credited with coining the term 'knowledge worker'. He was writing about the role of knowledge in organisation in some depth in the 1980s (e.g. see Drucker (1988)), as were many other foresighted writers e.g. Masuda (1980) and Sveiby (1987). Even after articles in more widely read publications in the early 1990s, most notably by Nonaka (1991) and Stewart (1991), there was no widespread interest among business managers until just a year or so ago. Now, the conference scene is exploding and there is at least one substantive new book published on the topic every month.
Likewise, the Internet has been evolving steadily for over two decades, since its origins in the US APRAnet project in the 1960s. What seems to me remarkable is that until fairly recently online service providers and corporate MIS managers were ridiculing it, saying it would not affect them. One MIS director, when I presented the advantages of the Internet for knowledge work at a conference in 1993, and its inevitable diffusion into being a core organisational technology retorted "over my dead-body" - I have not seen him since! Similarly "no threat to online hosts" was a headline I saw in the information press a year or so ago. Such reactions are typical of those operating in a well established field, not understanding the nature of innovation and diffusion of new ideas into the marketplace and business practice.
Both these example are where the use of trend analysis techniques, such as those based on content analysis as used by Trend Monitor International (Wyllie 1993), can help determine when the underlying trends reach a critical mass of reporting that impinges on management consciousness. Today, both are on the management agenda.
For the rest of this paper, we start from the premise, validated by our trend analysis and research, that neither the Internet nor knowledge management are 'fads', but will be fundamental factors in future business strategies for most organisations. We start by examining these trends and their underlying characteristics. These are then drawn together into the role of information and IT to support knowledge management activities. The paper concludes with a series of implications for information professionals and online service providers.

2. The Knowledge Agenda

2.1 Momentum of Knowledge Awareness

The interest in knowledge as a strategic lever in business is not new. In the 1970s and 1980s there were great expectations that knowledge based computer systems ('expert systems') could harness knowledge to solve many business problems. That promise was only partially fulfilled and certainly not to the extent that workers in the field had hoped. In retrospect the problem was that developers focused too much on what has been described as "falling into the trap of trying to develop 'thinking machines' rather than using machines to augment human thinking" (Skyrme 1990).
The more general view of the pervasive role of knowledge in business activities, has evolved from a number of management writers and practitioners as portrayed by Amidon (1997) in her 'Wellsprings timelines' - hindsight, insight and foresight. This shows the evolution and convergence of thinking and writing about knowledge as a strategic focus, alongside other initiatives such as agile manufacturing, innovation and the learning orignization. In our discussions with managers during 1996 and early 1997, the two most important written influences cited were the ongoing series of articles by Stewart in Fortune (Stewart 1993, 1995), and of the book by Nonaka and Takeuchi (1995) The Knowledge Creating Company. The latter, in particular, has provided managers with a framework for distinguishing between explicit and tacit knowledge and the conversion processes between them. They describe explicit knowledge as that which:
"can be expressed in words and numbers and can be easily communicated and shared in the form of hard data, scientific formulae, codified procedures or universal principles"
and contrast it with tacit knowledge which
"is highly personal and hard to formalise. Subjective insights, intuitions and hunches fall into this category of knowledge."
The four conversion processes they describe are:
  • Tacit-to-tacit (socialisation) - where individuals acquire new knowledge directly from others;
  • Tacit-to-explicit (externalisation) - the articulation of knowledge into tangible form through dialogue;
  • Explicit-to-explicit (combination) - combining different forms of explicit knowledge, such as that in documents or on databases;
  • Explicit-to-tacit (internalisation) - such as learning by doing, where individuals internalise knowledge from documents into their own body of experience.

2.2 Contribution of Knowledge to Business Success

Knowledge adds value to a business through its products, processes and people. The product contribution of knowledge is described by Davis and Botkin (1994). They describe six features of knowledge-based businesses:
  1. The more you use knowledge-based offerings, the smarter they get.
  2. The more you use knowledge-based offerings, the smarter you get.
  3. Knowledge-based products and services adjust to changing circumstances.
  4. Knowledge-based businesses can customise their offerings.
  5. Knowledge-based products and services have relatively short life cycles.
  6. Knowledge-based businesses enable customers to act in real-time.
Recent examples of the growing intensity of knowledge in products are the intelligent oil drill, which 'knows' the shape of the reservoir it is drilling, and the intelligent car, whose engine management systems can monitor performance of vital parts and 'knows' when they need servicing. These are examples of where knowledge can enhance the value of a product in the eyes of the customer.
Another contribution of knowledge is that in business processes. Throughout industry there are examples of where individuals or departments are ostensibly carrying out the same process, but where the performance levels are quite different. Often it is the 'tacit' knowledge of the experienced person that makes the difference. The sharing of best practices from one part of an organization to another is therefore a key component of many knowledge management programmes. For example, Texas Instruments was able to save the equivalent of the investment in a new semiconductor fabrication plant, by sharing best practices between their existing plants (O'Dell 1996).
The value of knowledge as manifest in an organisations products, its intellectual capital (such as patents and licences), people (human capital) and processes (structural capital) is very evident when the book value of a company, as measured by traditional accounting methods, is compared with its market value, which takes into account the marketplace perception of intangible value not measured by accountants. For many high-tech companies (such as Microsoft) or knowledge intensive companies (such as biotechnology companies) this factor is ten or more to one.
The net result is that as the value and contribution of knowledge becomes more evident, that organisations are investing in initiatives to manage and harness that knowledge. This means a systematic approach to managing the processes for creating and capturing it, classifying it and storing it, disseminating and using it.

2.3 State of Knowledge Practice

During 1996, as part of the research for a 500-page report on knowledge management, we investigated the state of knowledge management in various companies around the world (Skyrme and Amidon 1997). This included literature reviews, case study interviews and the results of an Ernst ∓ Young/Business Intelligence two continent survey (North America and Europe). The survey showed that nearly 90 per cent of senior managers believed that their organisations were in a knowledge-intensive business, whatever their industry. It also revealed different perceptions of the value of various activities and of the contribution of technology across different industries and functions. Our research showed that the following were common activities that were taking place in knowledge management initiatives:
  • Creation of knowledge teams - people from all disciplines to develop the methods of knowledge management

  • Sharing of best practices - from one part of the organization to another, through databases, but also through personal interaction and sharing events

  • Development of knowledge databases - best practices, expert directories, market intelligence etc.

  • Creation of Knowledge Centres - focal points for the development of knowledge skills, managing and enhancing knowledge databases and facilitating knowledge flow

  • Collaborative Technologies - the use of Intranets (internal Internet) or groupware for rapid information access

  • Intellectual Capital teams - to identify and audit intangible assets such as knowledge.
One shorthand way of summarising the knowledge movement, is to say that it is to get the right knowledge at the right place, at the right time. If this is done expeditiously, customer service can be improved through solving problems better, new products brought to market quicker, business processes continually improved, and innovative new ideas brought to commercialisation. What many practitioners have found, is that it the flow of knowledge that is important. This is where networked computer and communications technology plays an important role.

3. The Internet (R)evolution

3.1 The Evolution of Computing in the Workplace

One of the most widespread ways in that technology supports knowledge processes, is not through simple point solutions, such as expert systems or group decision support systems, but through enterprise wide information and knowledge sharing infrastructures. Groupware conferencing systems like Lotus Notes and Intranets were very evident.
Figure 1 - The Evolving Role of Information Technology
Computation, Communications, Cognition
If one traces the evolution of the contribution of information and communications technologies (ICT) in the workplace, the focus has changed over time (Figure 1). In the 1960s and 1970s the focus was on automating procedures. We even called the discipline data processing at the time. During the 1980s the leading edge was moving toward communications, most notably through electronic mail. At this time, online access to information through networks was also growing appreciably. Like manufacturing automation before, as we have gain the efficiencies in the office through automation of standard procedures (aided and abetted by BPR!) the locus of computer software development has shifted to support less structured activities, those of professional and managers. This is what I call the cognitive computing focus. We are trying to avoid the mistakes of the 'black box' mentality of earlier knowledge systems, and develop systems that augment and support the knowledge work of humans.
Of these, the one that is having the most profound impact is that of the Internet and related technologies. As noted earlier, to many it seems like a revolution, but I prefer to call it an evolution, since its use has been growing exponentially for many years. From a knowledge perspective the Internet has several characteristics that our research found was exploited in various knowledge programmes:
  • It uses a communications standard protocol (TCP/IP) that is widely supported - this means that it is universally accessible from many locations and through many different computer platforms

  • End-user software, such as electronic mail and World Wide Web browsers are universally available and are low cost (and often free) - this makes it cost effective to implement on an enterprise wide basis

  • Internet access is widely available throughout the world, increasingly with international providers - this means that a company's employees, especially those that travel a lot, can use the Internet rather like a corporate network; we found several organisations using a global service like CompuServe as a better option than building an in-house corporate network

  • The World Wide Web. This provides a quick means of publishing information that can be shared on a world-wide basis: "every user is also a publisher". This universal repository of information means that information resources can be updated and widely shared at an attractive cost.
In fact, it can be said that it is the World Wide Web that made the Internet popular among most business users. We now have something akin to Doug Engelbart's notion of a 'docuverse' - a document universe that interlinks pages of information. I'm sure some of you still use Gopher, Verocia and Archie, but for most end-users, the Web represents the Internet.

3.2 Internet vs. Online

It is appropriate here to consider the many criticisms of the Internet that have been made to me by online service providers, who perhaps at the time did not want the Internet to be so successful (although they now have a different view that they are embracing it). First, there is often the criticism that "you get what you pay for", and since the "web is free" then the information is not worth much. In fact, many areas of useful information on the Web are not free - users pay for them, albeit usually on a 'pay-by-use' basis rather than an up front subscription as for many traditional online services. In fact, I have spent money on searched items and subsequently found I could have got the very same item for free on the Web! Second, the Internet is not secure. This is true if you are dealing with really sensitive information. But for most people seeking information and knowledge this is not a real issue.
Two criticisms that do have some validity are that it is slow and difficult to find information. Actually the Internet is very fast when you consider how quickly information can be retrieved from the vast databases that it holds. Obviously if you use a local CD-ROM or proprietary online service you can get information quicker, but if you look at the end-to-end time, from developing a search strategy to collecting information, and the time an end-user might have to spend briefing an intermediary, then the difference is often not that great.
Perhaps the most valid criticism is that the information is very variable in quality and the way it is organised. However, there are a number of resource sites that are building up categorised information and archive databases that compare favourably with online services. Online services have been perfecting their database techniques, their classification schemes and keywords for many years and provide a standard familiar interface to their disparate sources of information. Their value added comes in sourcing, classifying and refining information. This is worth a premium, but charges will undoubtedly have to come down to meet the increased availability of low cost information on the Internet.
In summary, the Internet is an incredible information source, and it has brought information directly to the end-users, without involving an intermediary such as a librarian or information professional. Furthermore, technology developments on the Internet will really improve matters in the near future. Examples include more intelligent search engines and intelligent software agents, that roam the net and bring back relevant information to your desk-top. This poses challenges for online providers and information professional alike. How can we serve the end-user better? How should we meet the opportunities and the challenge of the Internet? As is already happening, the world of online services and the Internet are converging. Users want the best of both worlds, the accessibility, universality, ease-of-use and low cost of the Internet combined with structured, organised and (in some cases) the exclusive information of online services.

3.3 The Knowledge Dimension

So far in this paper, the consideration of the Internet has been almost entirely to do with its information role. But by the time knowledge becomes encoded in a database, it is 'explicit' knowledge. In many respects effective sharing of tacit knowledge needs the face-to-face socialization process as described by Nonaka and Takeuchi. This is difficult over a distance although new technologies such as viedoconferencing are helping. If companies want to share the best knowledge they have to tap into experts wherever they happen to be - world-wide, inside or outside of the firm. The Internet here pays the role of enhancing remote access, through making the necessary connections and enhancing global communications. Users congregate in areas of shared interests, and start electronic conversations.
Electronic mail is the main way that this happens, but computer conferencing, such as with Lotus Notes, is popular in a corporate setting. However, knowledge sharing across organisational boundaries is increasingly required. Therefore, Internet facilities such as electronic mail discussion lists are a way that individuals working in dispersed multi-company teams, an increasingly common facet of organisational life, can converse together over a distance. The European Telework Development project is one example, where the project was originally formulated electronically, and where almost all of the day to day activities between 30 participants in 15 countries, takes place that way (Mitchell 1996). While there are a growing number of Web conferences, companies that are most developed in sharing and developing knowledge over electronic networks seem to prefer a fully functional groupware product such as Lotus Notes, now Web enabled through its Domino version.

3.3 Intranets

It is the ease of use that have made the use of Internet technology, such as browsers and search engines, of interest to companies wanting to share information. The advantages in a corporate setting of using Intranets (internal Internets) are similar to those that make use of the Internet attractive in external information access and communications. End-users are familiar with browser interfaces, information can be shared across different local area networks and computer platforms, and published information is instantly available over the whole network. Furthermore this information need not just be HTML (the Web mark-up language) documents, but can be in any number of common formats, such as word processed documents. Increasingly Intranets are also hosting transaction and database applications with the Web browser being the universal interface to different 'back-end' systems.
Thus an Intranet can connect everyone with everyone else, and can facilitate sharing of company information, and with Internet gateways external information. As with the Internet, the issues of organising and managing information becomes problematical. There is also the added tensions within an organisation of what is 'official' information and what 'informal'. Intranets are surfacing many organizational cultural issues, such as 'information politics'! (CIO 1996)

4. Knowledge Work Support

4.1 The ICT Contribution

In analysing knowledge work we found that information and communications technologies enhance knowledge processes and support knowledge workers in several ways:
  • Ready access to organised information
  • Better communications and interaction with fellow knowledge workers (either individually or in groups)
  • Access to personal knowledge support tools (such as cognitive mapping tools)
  • Use of specific point solutions (e.g. risk analysis in lending)
  • Group decision support systems that facilitate decision making processes.
These represent combinations of person-to-computer and person-to-person interaction. Access to relevant information is not just though information databases. It is common to have information screens that support business process applications. For example, at insurance company CIGNA, the knowledge of their best experts has been incorporated into help screens in their underwriter's desk top system.

4.2 Support for the Knowledge Value Chain

The number of ways in which computers support knowledge work is very varied and makes planing for it quite difficult. We have developed half a dozen frameworks that position the various support mechanism along different dimensions. We share two of the here. The first is along a knowledge processing value chain (Figure 2).
Figure 2 - Computer support for knowledge processes
ICT and Knowledge Processes
First, computer support can make the input processes more effective. This means selecting information and knowledge that is relevant. Text summarising for, example extracts the key parts from a document, so that the reader can gain most of the sense in only a fraction of the original. British Telecom research has found that virtually no important meaning is lost with a 25 per cent abridgement of the original document. Data mining extracts new knowledge from existing data. It can find patterns that humans cannot, but considering many more dimensions and variables.
In terms of the knowledge base, what we found was an increasing emphasis of adding some context to the information. This might be a fuller description of the application of the information, an indication of the quality of the source, and many other little human touches that are often not found in formal databases, but which happen in day-to-day conversation. Some companies now add multimedia commentary e.g. the "expert speaks or demonstrates".
Finally, in terms of dissemination and use, as noted before it is the roll-out of Intranets and groupware that is having the most impact on knowledge management. The 'black box' expert systems, and other point solutions to knowledge problems, are growing in popularity for specific applications. However, Intranets and groupware are seen as a universal solution to the primary need for knowledge sharing, from best knowledge and expertise to the point of action, from those who have it, to those who need it. It provides a foundation for the sharing of information or 'explicit knowledge' as encoded in databases and 'tacit' knowledge, as partially transmitted in email and other conversations. Often computer communications help make the connections between people, who subsequently follow up with "richer" communications methods, such as videoconferencing or face-to-face. BP, for example, have rolled out videconferencing as a key plank of their knowledge management initiative, in their virtual teamworking project. This allows experts and knowledge workers to communicate effectively and share 'tacit' knowledge without the need to travel.

4.3 Layers of Infrastructure

Another useful perspective on the role of ICT in knowledge management is the role of technology infrastructure. If, as noted, technologies that allow collaborative work, such as the Intranet and groupware, are needed, what are the building blocks to have a truly effective infrastructure. Figure 3 shows the 'stepping stones' that together build an enterprise-wide and inter-enterprise collaborative infrastructures.
Layered elements of a collaborative technological infrastructure
Levels of ICT Infrastructure
They represent ever complex layers of functionality:
  • Connections - the ability to connect anyone into the network at any time. Portable computer and mobile phones are an example. One case we investigated, Buckman Laboratories, invests only in portable, not desk top, computers. A person's office is where their computer is, and wherever they can plug it into the international telephone system and the company network.

  • Communications - establishing communications facilities such as electronic distribution lists, electronic meeting places (forums and discussion lists).

  • Conversations - developing techniques and skills in conversing electronically; extracting meaning from ongoing threads of conversation. There is a role here for what is increasingly called a 'knowledge editor'.

  • Collaboration - developing a toolcase of collaborative tools, or knowledge collaboration 'archetypes'; supplementing these with moderators who nurture the development of new knowledge through a wide range of contributions.
Not only are these technology layers, but they are process layers as well. The human and organisational factors become more important the higher the layer. Thus, BP found that for videconferencing to work effectively, needed personal coaching when it was introduced. If a knowledge support architecture is defined in terms of these levels, it clearly identifies the potential an organisation has to effectively create and share knowledge. Whether they realise this potential depends crucially on other factors, mostly organisational in nature.

5. Strategies for Success

5.1 Success Factors

Our research showed that the greatest inhibitor to knowledge sharing was inappropriate behaviours and organisational culture. The syndrome "knowledge is power" predominates too often. It is beyond the copse of this paper to go into the organisational and behavioural aspects, that were so important that they took two chapters of the six central chapters of our report (Skyrme and Amidon 1997). In summary, a number of recurring factors do stand out in a successful knowledge programme:
  • A knowledge leader or champion - someone who actively drives the knowledge agenda forward, creates enthusiasm and commitment.

  • Top management support - a CEO who recognises the value of knowledge and who actively supports the knowledge team in its work.

  • A clear value proposition - identification of the link between knowledge and the bottom line business benefit; new measures of performance and appropriate rewards.

  • A compelling vision and architecture - frameworks that drive the agenda forward.

  • Effective information and knowledge management processes.
We will focus on the latter as it is the province of many information professionals. What we found was that those that were successful had successful developed a co-operative team that involved those with information management skills, IT knowledge (especially of Internet technologies) and change agents. However, we found a general lack of awareness among top management of the contribution of good information management. For example, identifying important knowledge is often an important starting point in a knowledge programme. Yet there was little appreciation that information resources management (IRM) through techniques such as information audit, could make a strong contribution.
Organisations are crying out for a systematic approach that gathers information, classifies it, adds value to it and supports the knowledge sharing process. We found that some of the management consultancies, whose business after all is "knowledge", were furthest ahead. Price Waterhouse, for example, not only have their KnowledgeViewSM database of best practices, but also have a taxonomy that aids sharing of information across business disciplines and industries, a knowledge centre, and many other features of good practice.

5.2 Implications for Information Professionals

The knowledge agenda and the growth of the Internet means that there is an opportunity to elevate the skills developed over many years in handling information to a higher level and become active in the knowledge agenda. Certainly the overall visibility of information professionals needs to be improved. On the one hand the Internet makes information more readily accessible to the end-user, thus to some extent by passing the need to get involved in mundane activities. On the other it has created a heightened awareness of what information is available, yet tools, such as search engines, may not be effectively used. Users are facing the information paradox - "drowning in data, yet short of intelligence". The implications for an information professional, that we draw from our analysis, are that you should:
  1. Articulate the value added that good information management can bring to your organisation and its contribution to the bottom line.

  2. Develop closer partnerships with the knowledge champions in your organisation. They need your skills and you might benefit from their current popularity among senior management!

  3. Help the users help themselves. Provide more "how to" guides so that they can make more effective use of the only information resources at their disposal, including the Internet/Intranet as an information resource.

  4. Be an active Internet/Intranet user yourself. Use email as a primary means of communication. Work in discussion lists and have your own groupware areas, one for peer knowledge sharing of best practice, and one for your client base.

  5. Seek out best practice, wherever it is. When did you last benchmark your activities against a comparable activity externally?

5.3 Implications for Online Service Providers

The Internet is here to stay and growing in stature all the time. By now, most online service providers have recognised the inevitable and have strategies to embrace the Internet. However, they need to avoid the air of complacency that was evident a few years ago. The need for well organised information is as real as ever, but organisations will want to put it into their own frame of reference. The implications are therefore:
  1. Don't get caught out with technological myopia in future. There are trend analysis techniques that help you identify what is coming and what wilt take hold. This is truer today as the Internet growth is fuelling significant investment into new software and technologies. Some of these technologies could really boost your product offering.

  2. Segment and segment again. The days of the "one product serves all" are over. Marketers are taking of the ultimate segment of one. Discerning patterns of use by individual users (do some data mining!) and you can fine tune your offering and sell them more.

  3. Develop a better understanding and closer relationship with your end-user. Understand more about knowledge work, and that information you provide does not stand-alone. It is part of a wider knowledge process. Thus new segmentation of information and new categories (e.g. problem categories) may be more useful than your existing ones.

  4. Re-evaluate your business models and pricing strategy. Organisations are sliming down and there's more opportunities for 'pay-as-you-go' rather than up front subscriptions.

  5. Develop hybrid solutions. This not only means combining CD-ROM with online, but also looking at human augmentation of your services. e.g. automatic email to subject matter experts, online videoconferencing while browsing through information. The future will be in knowledge networks, not information networks.

6. Conclusion

This paper has drawn together two main strands of current management focus - the Internet and knowledge management. Each has a momentum of its own. However, in combination, they provide a powerful driving force for business and individual opportunities. We have summarised some highlights from our research into this interaction and indicated some of the ways in which information professionals and online service providers can exploit this convergence.

References:

CIO (1996), 'Librarians at the Gate', Webmaster Magazine, CIO (September)
Davis, Stan and Botkin Jim, The Coming of Knowledge-Based Business, Harvard Business review, pp.165-170 (September-October)
Drucker, Peter, 'The Coming of the New Organization', Harvard Business Review, pp. 45-53 (January-February 1988)
Nonaka, Ikujiro (1991), The Knowledge-Creating Company, Harvard Business Review, pp.96-104 (November-December)
O'Dell, Carla (1996), A current Review of Knowledge Management Best Practice, Knowledge Management 96 Conference, Business Intelligence, London (December).
Skyrme, David J. (1991), Knowledge Networking, The Intelligent Enterprise, Aslib, Vol. 1, No. 9/10, pp. 9-15 (November)
Sveiby, Karl Erik (1987) and Lloyd, Tom, Managing Knowhow, Bloomsbury.
Wyllie, Jan (1993), 'The need for business information refineries', Aslib Proceedings, Vol. 45, No. 4, pp.97-102 (April).
Stewart, Thomas A. (1991), 'Brainpower', Fortune, pp.44-56 (3 June).
Stewart, Thomas A. (1993), 'Your Company's Most Valuable Asset: Intellectual Capital', Fortune (3 October)
Stewart, Thomas A. (1995), 'Trying to Grasp the Intangible', Fortune, pp.157-61 (2 October)
source: http://www.skyrme.com/pubs/on97full.htm

Customer Relationship Management (CRM)


A Customer Relationship Management (CRM) program is a software product designed to help businesses focuses on the relationships with its customers. CRM software tracks contact with customers, collect sales information, product support data and other issues. All data are analyzed, categorized, and organized into reports to management.
Today nearly all businesses are using a CRM program, especially business that depends on a repeat customer base, uses a sales team to contact customers, or those providing a maintenance service. CRM collects customers data, identifies what customers want, determine whether customer is expecting something from the company, identify potential new customers as well as which customer is happy or unhappy with the company etc.

Basically, CRM system is a database, storing organized information about customers and their records to allow company management as well as sale and marketing people to access quickly to make decision. The types of information that are stored depend on what system is used for and how that system is set up. 

CRM supports the company in getting customers (Marketing, Sales), keeps them as loyal customers by giving them reasons to stay with the company (Incentives, Discounts) and grows additional revenue from them overtime by selling them more of what they have brought (Special incentives to increase sales). In the past, most business theories are focusing only on sales and profit but in global competition, a new theory emerges to focus on keeping customers and growing the business. Today “Customer Satisfaction” is the new rule of business. 

Keep customer to stay with the business is much more cost effective than always having to find new customers. Many businesses today are focusing externally towards the customer. By giving customers better services, understand their needs and supporting them, it is easier to keep them as loyal customers. That is why CRM software is widely used in every business. For example, Telecommunication Company would give away mobile phones to customers as long as they agree to stay with the company for at least two years. To keep them, every twenty months company would allow them to exchange old phone for new phone so they do not switch company. Of course, company would grow additional revenue by charging more on additional features, storage, and upgrades to get them to spend more. 

There are many CRM software products on the market; some are designed for specific business or companies. However, most must be customized for each business. Badly implemented CRM systems can do more harm than good. A database is only as good as the information it contains, if the data is not well organized, or incorrectly stored, then it cannot be relied upon for report. Getting wrong information will waste time and money, and having incorrect data relayed to a customer can be worse for business. 

To customize a CRM, the company needs to have skilled information system managers who understand both the business as well as the technical issues. These skilled people can improve new CRM applications to make them work well with company business. Without understand the business or having good technical understanding, the company may have to depend on external consultants to customize the CRM applications.
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Prof. Vu
Carnegie Mellon University
source : http://www.segvn.org/forum/mvnforum/viewthread_thread,1934

Getting work experience


Today many companies are looking for recent software graduates with some experiences to fill entry-level jobs. Most require at least two years of experience. A company owner explains: “We hired many graduates in the past, since they did not have the skills that we need, we had to train them. After a year or so, they all left for better positions or higher salaries in another companies. Since so many of them keep switching jobs, we do not want to hire recent graduates and train them anymore but prefer workers with at least one or two years of experience because they are trained by somebody else. It is strictly a business decision.” Other industry representative comments: “The frequent switching of job among software workers has left many companies bitter about newly graduates. A trained worker that leaves a company is very costly, especially if it happens within a year or so. It is the workers fault.”

Although the industry blames software workers but I think the main issue is the gap between what school teaches and what the industry needs. According to several reports, many recent graduates do not have the right skills and must be retrained because what they know is not what the industry needs. Unless this gap can be closed, this situation will get worst. Today software companies want their new hires to have both technical skills and soft-skills such as teamwork, problem solving, communication and critical thinking etc.

With this attitude from companies, what should college students do? The solution is to start career planning when you first enter college. You must select schools that have the most up to date curriculum to get the technical skills that the industry wants. You must continue to read more about industry trends to prepare yourself for the future. You must develop the skills that will help you to get into the career that you want. You may need to work in the summer to get some experiences even it may not pay much. In this working place, you will learn about what the company needs, what skills are important as well as develop your soft-skills. A summer job allows you to develop these valuable skills and this is your investment in your future. In this highly competitive world, only the well-prepared will succeed.
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Prof. Vu
Carnegie Mellon University
source: http://www.segvn.org/forum/mvnforum/viewthread_thread,1937

Thursday, September 27, 2012

Are You Involved in Every Decision at Your Company?


Does every problem still come across your desk? Are you spending too much time in the weeds and not enough thinking about the big picture? Are you feeling burned out? For many business owners I know, the answers to these questions are a resounding “yes.”
One of the best ways I know to create value in a business is for the owner to become operationally irrelevant. That doesn’t mean leaving the business. It means changing your relationship to your business. Instead of being involved in every decision, you build a team and find a way to trust your senior employees to take care of their individual areas of responsibility.
I use the term passive owner to describe owners who have removed themselves from the day-to-day operation. Instead of solving problems all day, they have moved on to working on strategic issues. You know a business has a passive owner when it can run for weeks and or even months without the direct intervention of the owner, because there are managers in the company who are competent and have been given the authority and responsibility to keep things running smoothly. Here’s a fun way to think about it: Several years ago, Norm Brodsky wrote a column for Inc. magazine in which he argued that the more vacation time he took, the more he increased the value of his company.
Passive ownership is hard to achieve. At first, we don’t believe it’s possible. If we get to the point where do believe it’s possible, we often have to change not only our behavior but the culture of the company. Worse, we’re busy — so busy in fact, that we often don’t have time to stop and take a look around. We’re forced to deal with emergency after emergency after emergency. Before we know it, another day has passed and we’re still in the same place.
To take the first step toward passive ownership, we have to be able to get past living as if everything is a crisis. When we’re constantly in crisis mode, everything is late and we’re always under tremendous pressure. At least, that’s how it was for me. I thought I had to be involved in every decision. I lived as if everything was an emergency. I drove my staff crazy and, frankly, my company wasn’t a very satisfying place to be — neither for my employees nor for me.
In the early ’80s I ran across a book by Stephen Covey called “Seven Habits of Highly Effective People.” The book talks about four stages that people occupy. They are:
  1. Urgent and important (where I was living).
  2. Important, but not urgent (where I needed to be).
  3. Not important, but urgent (I delegated, but not effectively. The project seemed to always land back on my desk).
  4. Not important and not urgent (where I hid behind useless activities and was completely unproductive).
I realized that I would have to move out of stages 1 and 3 and spend more time in stage 2 if I were ever going to be successful. It wasn’t easy, but I found one thing that I thought was a crisis and successfully delegated it to someone else. Then, I did it again. Over the course of a couple of years, I managed to get some time to work on important but not urgent activities. And that’s when life started to change.
Passive ownership requires the owner to build a team of effective managers, to have a reporting system that shares critical company information and to have systems in place that let front-line employees know what to do and how to act. This might sound easy, but it often takes several years of taking small steps before you even get close passive ownership.
For my company, the result was that we went from providing inconsistent service to being tactically excellent. We developed systems, and we stopped acting as if everything was a crisis. We had systems in place to keep crises from happening in the first place but could plan for things that were likely to go wrong.
Building trust between my managers and me was a real challenge. My issue was that I had a very difficult time understanding what was happening when one of my managers made a mistake. At some level, I didn’t fully understand that it wasn’t on purpose. This is where I ran into W. Edwards Deming and his books on quality management. One of his rules was that you don’t blame the person — you blame the system. This was a really difficult rule for me to embrace. But as we put more and better systems in place, the mistakes got smaller and more manageable. This took time and the willingness to change.
There’s a reason a lot of owners have a habit of micromanaging. In the early years, if I hadn’t been obsessive about being involved in every aspect of the business, the business might well have failed. It was only as the business became more successful that I had the option of learning to back off. But I know I waited longer than I should have.
Take a moment and ask yourself whether you are constantly feeling the pressure. If you answered yes to the questions at the beginning of this post, you might want to think about ways to make at least some of these issues go away.
Josh Patrick is a founder and Principal at Stage 2 Planning Partners where he works with private business owners on wealth management issues.
source: http://boss.blogs.nytimes.com/2012/09/27/are-you-involved-in-every-decision-at-your-company/?ref=smallbusiness