Management information system
From Free net encyclopedia
As an area of study it is commonly referred to as information technology management. The study of information systems is usually a commerce and business administration discipline, and frequently involves software engineering, but also distinguishes itself by concentrating on the integration of computer systems with the aims of the organization. The area of study should not be confused with computer science which is more theoretical in nature and deals mainly with software creation, or computer engineering, which focuses more on the design of computer hardware.
In business, information systems support business processes and operations, decision-making, and competitive strategies.
The functional support role
It can also be called Data Base Management System wherein maximum utilization in an efficient manner based on the organisational needs is obtained by analyzing, processing and referenceing of Data Base. Not only for the business, but for all kinds of organisations such as Disaster Management Organisation for using it as Disaster Management Information System.
Business processes and operations support function are the most basic. They involve collecting, recording, storing, and basic processing of data. Information systems support business processes and operations by:
- recording and storing accounting records including sales data, purchase data, investment data, and payroll data.
- processing such records into financial statements such as income statements, balance sheets, ledgers, and management reports, etc.
- recording and storing inventory data, work in process data, equipment repair and maintenance data, supply chain data, and other production/operations records
- processing these operations records into production schedules, production controllers, inventory systems, and production monitoring systems
- recording and storing such human resource records as personnel data, salary data, and employment histories,
- processing these human resources records into employee expense reports, and performance based reports
- recording and storing market data, customer profiles, customer purchase histories, marketing research data, advertising data, and other marketing records
- processing these marketing records into advertising elasticity reports, marketing plans, and sales activity reports
- recording and storing business intelligence data, competitor analysis data, industry data, corporate objectives, and other strategic management records
- processing these strategic management records into industry trends reports, market share reports, mission statements, and portfolio models
The bottom line is that the information systems use all of the above to implement, control, and monitor plans, strategies, tactics, new products, new business models or new business ventures.
The decision support role
The business decision-making support function goes one step further. It becomes an integral part -- even a vital part -- of decision -making. It allows users to ask very powerful "What if…?" questions: What if we increase the price by 5%? What if we increase price by 10%? What if we decrease price by 5%? What if we increase price by 10% now, then decrease it by 5% in three months? It also allows users to deal with contingencies: If inflation increases by 5% (instead of 2% as we are assuming), then what do we do? What do we do if we are faced with a strike or a new competitive threat? An organization succeeds or fails based on the quality of its decisions. The enhanced ability to explore "what if" questions is central to analyzing the likely results of possible decisions and choosing those most likely to shape the future as desired. "Business decision-making support function" is a phrase likely to quicken the pulse of no one but an accountant, but, in fact, it is all about turning wonderful dreams into solid realities.
The communication decision support system role
Information systems can support a company's competitive positioning. Here are three levels of analysis:
1. The supports for help in piloting the chain of internal value. They are the most recent and the most pragmatic systems within the reach of the manager. They are the solutions to reductions of costs and management of performance. They are typically named "Business Workflow Analysis" (BWA) or of "Business Management Systems p2p". Tool networks, they ensure control over piloting the set functions of a company. The real-time mastery in the costs of dysfunctions cause distances from accounts, evaluation and accounting that are presented in the evaluation and qualitative reports.
2. All successful companies have one (or two) business functions that they do better than the competition. These are called core competencies. If a company's core competency gives it a long term advantage in the marketplace, it is referred to as a sustainable competitive advantage. For a core competency to become a sustainable competitive advantage it must be difficult to mimic, unique, sustainable, superior to the competition, and applicable to multiple situations. For a small or medium business a nice alternative is a MSP or a Managed Service Provider such as Virtual IT Solution, LLC http://www.virtualitsolution.com .This is a cost effective solution compared to paying for an IT staff or local technicians. Other examples of company characteristics that could constitute a sustainable competitive advantage include: superior product quality, extensive distribution contracts, accumulated brand equity and positive company reputation, low cost production techniques, patents and copyrights, government protected monopoly, and superior employees and management team. The list of potential sustainable competitive advantage characteristics is very long. However, some experts hold that in today's changing and competitive world, no advantage can be sustained in the long run. They argue that the only truly sustainable competitive advantage is to build an organization that is so alert and so agile that it will always be able to find an advantage, no matter what changes occur.
3. Information systems often support and occasionally constitute these competitive advantages. The rapid change has made access to timely and current information critical in a competitive environment. Information systems, like business environmental scanning systems, support almost all sustainable competitive advantages. Occasionally, the information system itself is the competitive advantage. One example is Wal-Mart. They used an extranet to integrate their whole supply chain. This use of information systems gave Sam Walton a competitive advantage for two decades. Another example is Dell Computer. They used the internet to market custom assembled PC's. Michael Dell is still benefitting from this low-cost promotion and distribution technique. Other examples are eBay, Amazon.com, Federal Express, and Business Workflow Analysis.
The performance monitoring role
MIS are not just statistics and data analysis. They have to be used as an MBO (Management by objectives) tool. They help:
- to establish relevant and measurable objectives
- to monitor results and performances (reach ratios)
- to send alerts, in some cases daily, to managers at each level of the organization, on all deviations between results and pre-established objectives and budgets.
Potential benefits of MIS investments
Investing in information systems can pay off for a company in many ways.
- Such an investment can support a core competency. Great companies invariably have one or two core competencies, something they can do better than anyone else. This could be anything from new product development to customer service. It is the heart of the business and no matter what it is, information technology can support that core competency. An IT investment in a company's core competency can create a significant barrier to entry for other companies, defending the organization's primary turf and protecting its markets and profits.
- It can build supply chain networks. Firms that are a part of an integrated supply chain system have established relationships of trust with suppliers. This means faster deliver times, problem-free delivery and an assured supply. It can also mean price discounts and other preferential treatment. The inability of new entrants to get onto a supply chain/inventory management system can be a major barrier to entry.
- It can enhance distribution channel management. As with supplier networks, investment in distribution channel management systems can ensure quicker delivery times, problem free delivery, and preferential treatments. When the distribution channel management system is exclusive, it can mean some control over access to retailers, and, once more, a barrier to entry.
- Such an IT investment can help build brand equity. To build a brand, firms often invest huge sums in advertising. A huge brand name is a formidable barrier to entry and sustaining it can be facilitated by investment in marketing information systems and customer relationship management system.
- Information systems can mean better production processes (1). Such systems have become essential in managing large production runs. Automated systems are the most cost efficient way to organize large scale production. These can produce economies of scale in promotion, purchasing, and production; economies of scope in distribution and promotion; reduced overhead allocation per unit; and shorter break-even times more easily. This absolute cost advantage can mean greater profits and revenue.
- IT investment can boost production processes (2). Information systems allow a company flexibility in its output level. Michael Porter claims that economies of scale are a barrier to entry, aside from the absolute cost advantages they provide. This is because, a company producing at a point on the long-run average cost curve where economies of scale exist has the potential to obtain cost savings in the future, and this potential is a barrier to entry.
- Implementing IT experience can leverage learning curve advantages. As a company gains experience using IT systems, it becomes familiar with a set of best practices that are more or less known to other firms in the industry. Firms outside the industry are generally not familiar with the industry specific aspects of using these systems. New entrants will be at a disadvantage unless they can redefine the industries best practices and leap-frog existing firms.
- IT investment can impact mass customization production processes. IT controlled production technology can facilitate collaborative, adaptive, transparent, or cosmetic customization. This flexibility can increase margins and increase customer satisfaction.
- Leverage IT investment in computer aided design (1). CAD systems facilitate the speedy development and introduction of new products. This can create proprietary product differences. Product differentiation can be a barrier to entry. Proprietary product differences can be used to create incompatibilities between competing products (as every computer user knows). These incompatibilities increase consumers’ switching costs. High customer switching costs is a very valuable barrier to entry (Hey, it worked for Bill Gates.)
- It means expanded E-commerce. Company web sites can be personalized to each customers interests, expectations, and commercial needs. They can also be used to create a sense of community. Both of these tend to increase customer loyalty. Customer loyalty is an important barrier to entry.
- Information systems leverage stability. Technologically sophisticated firms with multiple electronic points of contact with customers, suppliers, and others enjoy greater stability. This monumental appearance of stability can be a barrier to entry, especially in financial services.
- The simple fact that IT investment takes a significant amount of money makes it a barrier to entry. Anything that increases capital requirements is -- guess what? -- a barrier to entry.
Historical development
The role of business information systems has changed and expanded over the last four decades.
In the incipient decade (1950s and '60s), “elecsystems” could be afforded by only the largest organizations. They were used to record and store bookkeeping data such as journal entries, specialized journals, and ledems” were used to generate a limited range of predefined reports, including income statements (they were called P & L’s back then), balance sheets and sales reports. They were trying to perform a decision making support role, but they were not up to the task.
By the 1970s “decision support systems” were introduced. They were interactive in the sense that they allowed the user to choose between numerous options and configurations. Not only was the user allowed to customize outputs, they also could configure the programs to their specific needs. There was a cost though. As part of your mainframe leasing agreement, you typically had to pay to have an IBM system developer permanently on site.
The main development in the 1980s was the introduction of decentralized computing. Instead of having one large mainframe computer for the entire enterprise, numerous PC’s were spread around the organization. This meant that instead of submitting a job to the computer department for batch processing and waiting for the experts to perform the procedure, each user had their own computer that they could customize for their own purposes. Many poor souls fought with the vagaries of DOS protocols, BIOS functions, and DOS batch programming.
As people became comfortable with their new skills, they discovered all the things their system was capable of. Computers, instead of creating a paperless society, as was expected, produced mountains of paper, most of it valueless. Mounds of reports were generated just because it was possible to do so. This information overload was mitigated somewhat in the 1980s with the introduction of “executive information systems”. They streamlined the process, giving the executive exactly what they wanted, and only what they wanted.
The 1980s also saw the first commercial application of artificial intelligence techniques in the form of “expert systems”. These programs could give advice within a very limited subject area. The promise of decision making support, first attempted in management information systems back in the 1960s, had step-by-step, come to fruition.
The 1990s saw the introduction of the Strategic information system. These systems used information technology to enable the concepts of business strategy developed by scholars like M. Porter, T Peters, J. Reise, C. Markides, and J. Barney in the 1980s. The sustainability of these applications has since been called into question by N. Carr, which Piccoli and Ives, among others, have countered.
The role of business information systems had now expanded to include strategic support. The latest step was the commercialization of the Internet, and the growth of intranets and extranets at the turn of the century.
Academic programs in information systems
- Research Centers
- Universities
- Management Information Systems, Krannert School of Management, Purdue University
- Management Information Systems, University of Alabama
- Department of Management Information Systems, University of Arizona
- Information Systems Security Management, Concordia University College of Alberta
- School of Information & Management Systems, University of California, Berkeley
- Department of Computer Information Systems, California State Polytechnic University, Pomona
- Manangement Information Systems, California State University Sacramento
- Management Information Systems, Brigham Young University
- Master of Information Systems Management, Carnegie Mellon University
- Department of Information Systems, Case Western Reserve University
- School of Information Systems and Technology, Claremont Graduate University
- Department of Management Information Systems, University College Dublin - National University of Ireland, Dublin
- Department of Management Information Systems, University of Central Florida
- Graduate School of Computer and Information Sciences, Nova Southeastern University, Ft. Lauderdale, Florida
- Department of Management Information Systems & Operations Management, East Carolina University
- Department of Decision and Information Sciences, Warrington College of Business Administration, University of Florida
- College of Information, Florida State University
- College of Management, Georgia Institute of Technology
- Department of Management Information Systems, University of Georgia
- Department of Computer Information Systems, Georgia State University
- Department of Decision and Information Sciences, University of Houston
- Information Systems Department, Kelley School of Business, Indiana University
- Department of Management Information Systems, Indiana University of Pennsylvania
- Department of Information Systems, London School of Economics
- Systems & Accounting Graduate Programs, Kelley School of Business, Indiana University
- Graduate School of Library and Information Sciences,University of Illinois at Urbana-Champaign
- Department of Information and Decision Sciences, University of Illinois at Chicago
- Department of Information Systems, University of Maryland Baltimore County
- Department of Information Systems, University of Melbourne
- School of Information, University of Michigan
- Department of Information and Decision Sciences, Carlson School of Management, University of Minnesota-Twin Cities
- Management Information Systems, University of Missouri - St. Louis
- Department of Information Systems, Münster School of Business Administration and Economics, University of Münster, Germany
- Master of Science in Information Systems, New York University
- School of Information Sciences, University of Pittsburgh
- Department of Information Systems, California Polytechnic State University, San Luis Obispo
- Information and Operations Management (IOM) Department, University of Southern California
- [1], Department of Management Information Systems, The University of Southern Mississippi
- Department of Information and Technology Management,John H. Sykes College of Business, University of Tampa
- Department of Information, Risk, and Operations Management, University of Texas at Austin
- Management Science, University of Washington Business School, University of Washington, Seattle
- Operational Research & Information Systems Group, Warwick Business School, University of Warwick
- Department of Management Information Systems, University of Wisconsin - Eau Claire
- [2], University of Wisconsin-Milwaukee
- Department of Accounting and Information Systems, North Dakota State University
- Department of Informatics, Kaunas Faculty of Humanities, Vilnius University, Lithuania
- Department of Information Systems and Computer Science, Ateneo de Manila University, Philippines
International associations and groups
Sources of information on MIS
- Well Known MIS Scholars
- Google Scholar
- MIS Web sites (University of Bournemouth)
- MIS Links (University of York)
- Computer and Information Systems Managers (U.S. Department of Labor)
See also
- Decision Support Systems
- Executive Information Systems
- Expert systems
- Human Resource Management Systems
- information technology management
- IPO Model
- Strategic information system
- Transaction Processing Systems
- Universal Enterprise Infrastructurear:ادارة نظم المعلومات
de:Management-Informationssystem fr:Système d'information de gestion ko:경영 정보 시스템 pt:Sistema de informação de gestão zh:信息管理系统