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The number of data sources available inside and outside companies and total data points increase, which makes the coordinated data selection in the forefront of decision making with respect to a specific economic goal becomes more and more relevant. To assess the available data and enhance decision support, we develop a framework including a process model that supports the identification of goal-oriented...
The growth in the packaged food industry has created pressure on the packaged food warehouse to enhance the order-picking efficiency. The decision support system (DSS) for stock keeping units (SKUs) allocation thus has to make quality decisions for shortening the order-picking time. In order to improve the decision making ability of the DSS, the determinant factors of the major input variable - the...
This paper develops a task assignment decision support (TADS) system for an IT service manager to assign one or multiple tasks to the most suitable IT analysts. Developed for overcoming the deficiencies of the current task assignment practice in a case company, the TADS system approaches the task assignment problem in a novel and effective manner. With a decision rule knowledge base, a multiattribute...
This paper uses a simple dynamic game model with incomplete information to support the decision for employee selection endogeneity. According to game theory and its application research, a perfect Bayesian equilibrium is given at first, and then the dynamic game model with incomplete information of perfect Bayesian equilibrium is demonstrated by using an example of selecting employees. The research...
This paper proposes Constrained Rationality, a formal qualitative goals and constraints reasoning framework for single and multi agents to analyze and rationalize about strategic decisions/conflicts. The framework suggests bringing back the strategic decision making problem to its roots: reasoning about options/alternatives, not to satisfy a set of preferences, but rather to satisfy the explicitly...
As e-Business and e-Commerce applications are increasingly exposed to a variety of information security threats, corporate decision makers are increasingly forced to pay attention to security issues. Risk management provides an effective approach for measuring the security but existing risk management approaches come with major shortcomings such as the demand for very detailed knowledge about the...
We use agent-based modeling and simulation to fuse data from multiple sources to estimate the state of some system properties. This implies that the real system of interest is modeled and simulated using agent principles. Using Monte-Carlo simulation, we estimate the values of some decision-relevant numerical properties. We use the estimated properties, such as utilization of resources and service...
When determining an appropriate level of IT investments (e.g., software components), managers have to take into consideration given business processes and strategic objectives as well as a variety of potential technologies while ensuring the cost-efficient usage of limited resources. As a missing alignment and/or poor IT investment decisions may entail corporate failure, they experience a growing...
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