International Codes of Environmental Conduct


A number of business organizations have developed codes of environmental conduct. Among the most important ones are the following:

  • International Chamber of Commerce (ICC): The ICC developed the Business Center for Sustainable Development, 16 principles that identify key elements of environmental leadership and call on companies to recognize environmental management as among their highest corporate priorities.
  • Global Environmental Management Initiative (GEMI): A group of over 20 companies dedicated to fostering environmental excellence, GEMI developed several environmental self assessment programs, including one that helps firms assess their progress in meeting the goals of the Business Center for Sustainable Development.
  • Keidanren: This major Japanese industry association has published a  Global Environmental Charter that sets out a code of environmental behavior that calls on its members to be “good corporate citizens.”
  • Chemical Manufacturers Association (CMA): The U.S. based industry association developed Responsible Care: A Public Commitment, which commits its member-companies to a code of management practices, focusing on process safety, community awareness, pollution prevention, safe distribution, employee health and safety, and product stewardship. The group is working for the international adoption of these principles.
  • CERES Principles: These are 10 voluntary standards developed by the Coalition of Environmentally Responsible economies that commit signatory firms to protection of the biosphere, sustainable use of natural resources, energy conservation, risk reduction, and other environmental goals.
  • International Organization for Standards (ISO): ISO 14000 is a series of voluntary standards introduced in 1966 by the ISO, an international group based in Geneva, Switzerland, that permit companies to be certified as meeting global environmental performance standards.

My Consultancy–Asif J. Mir – Management Consultant–transforms organizations where people have the freedom to be creative, a place that brings out the best in everybody–an open, fair place where people have a sense that what they do matters. For details please visit www.asifjmir.com, and my Lectures.

External Sources of Information


Much of the information for the firm’s MIS comes from external data—data generated outside the firm. This information is of two types—primary and secondary. Primary data consist of data being collected for the first time during a research study. In contrast, secondary data are previously published information. Although the researcher will typically exhaust all likely sources of secondary data before deciding to begin the collection of primary data, both types offer specific benefits for the decision maker.

My Consultancy–Asif J. Mir – Management Consultant–transforms organizations where people have the freedom to be creative, a place that brings out the best in everybody–an open, fair place where people have a sense that what they do matters. For details please visit www.asifjmir.com, and my Lectures.

Factual Support


If you can find facts to support your position or set a direction which makes your goal more obtainable, use them. Facts are most effective if they are from a disinterested third party, or your competition.

One great way or pre-sell is to find magazine and other articles which espouse your point in some way and distribute them to your counterparts. People will read published reports before they listen to an argument from a peer or superior. Reading the information somehow makes it theirs.

My Consultancy–Asif J. Mir – Management Consultant–transforms organizations where people have the freedom to be creative, a place that brings out the best in everybody–an open, fair place where people have a sense that what they do matters. For details please visit www.asifjmir.com, and my Lectures.

Intranets


Not all Websites are available to anyone cruising the Net. Some are reserved for the private use of a single company’s employees and stakeholders. An intranet uses the same technologies as the Internet and the World Wide Web, but the information provided and the access allowed are restricted to the boundaries of a company-wide LAN or WAN. In some cases, suppliers, distribution partners, and key customers may also have access, but intranets are protected from unauthorized access through the Internet by a firewall, a special type of gateway that controls access to the local network. People on an intranet can get out to the Internet, but unauthorized people on the Internet cannot get in.

Possibly the biggest advantage of an intranet is that it eliminates the problem of employees’ using different types of computers within a company. On an Intranet, all information is available in a format compatible with Macintosh, PC, UNIX-based computers. The need to publish internal documents on paper is virtually eliminated because everyone can access the information electronically.

Besides saving paper, an intranet can save a company money in the form of employee hours. Employees can find information much faster and more easily by using a well-designed database on an intranet than by digging through a filing cabinet or card catalog. Some of the communication uses companies have for intranets include updating policy manuals, posting job openings and submitting job applications, accessing martketing and sales presentations from anywhere in the world, updating and managing employee benefits, accessing company records and databases, collaborating from anywhere in the  world to develop new products, scheduling meetings, setting up company phone directories, and publishing company newsletters. In fact, just about any information that can help employees communicate is a good candidate for an intranet. As video and audio technologies progress, you can expect to see more multimedia applications on intranets as well.

My Consultancy–Asif J. Mir – Management Consultant–transforms organizations where people have the freedom to be creative, a place that brings out the best in everybody–an open, fair place where people have a sense that what they do matters. For details please visit www.asifjmir.com, Lectures, Line of Sight

Price-earnings Ratio


Price-earnings ratios are published daily in newspapers for stock market-listed companies, along with the gross dividend yield, dividend cover and other information about the shares of each company. The method of calculation is what the name suggests:

Price-earnings ratio = stockmarket share price divided byEarnings per share

The stockmarket share price used is the one published in the financial newspapers at the close of business in the stock exchange for the previous evening.

As a generalization, when the price earnings ratio of a company is higher than the average for other companies in the same business sector, the stockmarket expects the company to achieve higher than average earnings per share in the foreseeable future to justify the above-average valuation of the shares.

In certain circumstances, the explanation may be quite different. For example, a takeover bid for the company may be widely expected, and the share price has already increased significantly in anticipation of the price to be offered by the bidder.

It must never be forgotten than the analysis of share prices, and especially the prediction of future changes, cannot be done simply by calculating the various ratios. If this was possible, making a fortune on the stockmarket would be easy. In practice, even the most experienced investment-fund managers would make costly errors of judgment from time to time.

My Consultancy–Asif J. Mir – Management Consultant–transforms organizations where people have the freedom to be creative, a place that brings out the best in everybody–an open, fair place where people have a sense that what they do matters. For details please visit www.asifjmir.com, Line of Sight

Knowledge Engineering


In the traditional approach to systems design, a system analyst, together with the ultimate end-users, or clients, for the project, will complete a functional specification of the system. At that point, the project is essentially in the hands of professional project management and programming staff, because that group possesses the knowledge and skill required to deliver the agreed upon features and functions. In the development of knowledge systems, this is simply not the case. Following the specification of function, a new problem arises. This is because it is not an algorithm that is being developed but knowledge that is being encoded for machine use.

 

The immediate problem is that traditional applications developers do not have sufficient knowledge of the applications area to complete the project from the starting point of a functional specification. This information generally exists in a variety of forms, depending on the application area. In some cases an individual or group of individuals may uniquely possess the relevant knowledge. In other cases, the knowledge may exist in the form of published materials like manuals or textbooks. In still other cases, the knowledge does not presently exist at all, and must be created and developed along with the system itself. This is an extremely difficult circumstance. Further compounding this problem is a critical factor: Regardless of the form in which the knowledge currently exists, it is not in a form that is ready for use by a knowledge system. Someone must decide what knowledge is relevant and desirable for inclusion, acquire the knowledge, and represent it in a form suitable for a knowledge system to apply. In all but trivial applications the task of representing the knowledge requires not only coding individual “chunks” of knowledge, but also organizing and structuring these individual components.

 

Historically, owing to the remoteness and enigmatic quality of artificial intelligence technologies, the person doing the actual systems development and the “expert,” or source of knowledge, were not the same. The availability of tools, in place of enigmatic technologies, has had an impact on reducing this problem. Even if one can imagine the case in which the “expert” whose knowledge is to be modeled is also an “expert” with the use of artificial intelligence development tools, there still remains a sizable problem.

 

In case where knowledge resides with some practitioner or expert, it does not exist explicitly as a series of IF …THEN rules, ready to be encoded. Most practitioners and experts find it difficult to explain explicitly what they are doing while solving problems. They are not cognizant of the underlying rules they are applying. Their expertise has been developed from numerous experiences and involves highly developed pattern recognition skills and heuristics.

 

In the case where the knowledge to be included is contained in text material like manuals, regulations, procedures, and the like, the information is still not in a form ready for inclusion in an expert system. It must be remembered that one of the most often cited advantages of expert systems is that they make explicit the knowledge that is most often implicit and unavailable for review, evaluation, dissemination, and modification. The task of making knowledge both explicit and available for systems application is that of knowledge engineering. Most literature on the development and application of knowledge systems has identified the need for individuals skilled in knowledge engineering as a critical factor to widespread use of technology.

 

Knowledge engineering involves acquiring, representing, and coding knowledge. The representation and coding aspects of systems development have been greatly impacted by these newly available tools. The speed with which prototyping can be accomplished has also helped reduce some of the difficulty in acquiring or refining knowledge. The knowledge engineer now finds it much less costly in time and effort to represent, code, and test early approaches to systems development, providing a more efficient feedback loop. This feedback loop is critical in the development of knowledge systems. The end-user/client for the project is, by nature, going to be much more involved in the systems design process. The “programmer” often is incapable of deciding if the system is behaving properly, owing to a lack of fundamental knowledge about the application area. This is simply not as strong a factor, where the programmer is capable of evaluating the accuracy and efficiency of algorithms. When the product is actionable knowledge rather than algorithms, the ability to evaluate project progress shifts to the end-user/client. This creates the increased emphasis on the feedback loop.

 

My Consultancy–Asif J. Mir – Management Consultant–transforms organizations where people have the freedom to be creative, a place that brings out the best in everybody–an open, fair place where people have a sense that what they do matters. For details please visit www.asifjmir.com, Line of Sight