Concpetual Design of WWW Based Information Systems

Today, companies and their information systems are facing a very dynamic and fast changing environment. Fast changing demands require varying information in varying places. Users must find relevant information in a fast and perspicuous way. Thus, information systems both have to be flexible and clearly structured to fulfill these requirements and be able to handle the increasing amount of information efficiently. WWW-based information systems provide flexibility as they separate content, layout and navigation. However, several conceptual shortcomings prevent the Web from being a more productive and efficient resource of information today. Several technical enhancements (e.g. the semantic web) have been made in order to solve these problems. However, a theoretically proved and easy to use modeling method for WWW-based information systems is still missing. Our modeling method allows modeling these information systems on a conceptual level by abstracting from technical details. By this, meaningful navigation structures can be achieved with great clarity. In this paper we will develop this method using a meta-model based approach

An Epistemological Foundation of Concpetual Modeling

In a business environment, making the right decisions is vital for the success of a company. Making right decisions is inevitably bound to the availability and provision of relevant information. Information systems are supposed to be able to provide this information in an efficient way. Thus, within information systems development a detailed analysis of information supply and information demands has to prevail. Based on Szyperski’s information set and subset-model we will give an epistemological foundation of information modeling in general and show, why conceptual modeling in particular is capable of developing effective and efficient information systems. Furthermore, we derive conceptual modeling requirements based on our findings

Conceptual Design of WWW-Based Information Systems

Today, companies and their information systems are facing a very dynamic and fast changing environment. Fast changing demands require varying information in varying places. Users must find relevant information in a fast and perspicuous way. Thus, information systems both have to be flexible and clearly structured to fulfill these requirements and be able to handle the increasing amount of information efficiently. WWW-based information systems provide flexibility as they separate content, layout and navigation. However, several conceptual shortcomings prevent the Web from being a more productive and efficient resource of information today. Several technical enhancements (e.g. the semantic web) have been made in order to solve these problems. However, a theoretically proved and easy to use modeling method for WWW-based information systems is still missing. Our modeling method allows modeling these information systems on a conceptual level by abstracting from technical details. By this, meaningful navigation structures can be achieved with great clarity. In this paper we will develop this method using a meta-model based approach

Specifying information systems for business process integration : a management perspective

Supply chain management and customer relationship management are concepts for optimizing the provision of goods to customers. Information sharing and information estimation are key tools used to implement these two concepts. The reduction of delivery times and stock levels can be seen as the main managerial objectives of an integrative supply chain and customer relationship management. To achieve this objective, business processes need to be integrated along the entire supply chain including the end consumer. Information systems form the backbone of any business process integration. The relevant information system architectures are generally well-understood, but the conceptual specification of information systems for business process integration from a management perspective, remains an open methodological problem. To address this problem, we will show how customer relationship management and supply chain management information can be integrated at the conceptual level in order to provide supply chain managers with relevant information. We will further outline how the conceptual management perspective of business process integration can be supported by deriving specifications for enabling information system from business objectives

Conceptual modeling - an epistemological foundation

The success of contemporary organizations depends on their ability to make appropriate decisions. Making appropriate decisions is inevitably bound to the availability and provision of relevant information. Information systems should be able to provide information in an efficient way. Thus, within information systems development a detailed analysis of information supply and information demands has to prevail. Based on Syperski’s information set and subset-model we will give an epistemological foundation of information modeling in general and show, why conceptual modeling in particular is capable of specifying effective and efficient information systems. Furthermore, we derive conceptual modeling requirements based on our findings. A short example illustrates the usefulness of a conceptual data modeling technique for the specification of information systems

ABSTRACT

The success of contemporary organizations depends on their ability to make appropriate decisions. Making appropriate decisions is inevitably bound to the availability and provision of relevant information. Information systems should be able to provide information in an efficient way. Thus, within information systems development a detailed analysis of information supply and information demands has to prevail. Based on Syperski’s information set and subset-model we will give an epistemological foundation of information modeling in general and show, why conceptual modeling in particular is capable of specifying effective and efficient information systems. Furthermore, we derive conceptual modeling requirements based on our findings. A short example illustrates the usefulness of a conceptual data modeling technique for the specification of information systems