Knowledge based decision support system

Abstract

Welcome to this special issue of the Information Technology and Management journal on knowledge based decision support systems. The main goal for this special issue is to be a timely vehicle for publishing selected research papers from academia and practitioners in different industries on this emerging topic.Knowledge-based decision support systems are systems designed to ensure more precise decision-making by effectively using timely and appropriate data, information, and knowledge management for convergence industry. These systems refer to decision-making based on relevant knowledge, which is based on artificial intelligence, and on the application of information and communication technologies. In addition, these systems support decisionmaking through prediction and recommendation techniques. Depending on the criteria, there are various classifications. Based on the knowledge used for deduction, data is classified into knowledge-based systems using dictionary-defined knowledge, and non-knowledge-based systems using machine learning and multi-dimensional statistical pattern recognition techniques [1][2][3] The paper by Lee et al.[4] presents a clinical decision support system in medical knowledge literature reviews. They propose a method to increase performance and efficiency in a clinical decision support system (CDSS), and enhance the understanding of the CDSS for better health management among physicians and patients. To add structure to the current study, major research areas were categorized based on a multidimensional unfolding analysis. The academic outlook of medical informatics could be forecasted, and academic quality could be improved by addressing the problems arising out of system development and realization processes. The paper by Lee [5] presents factors influencing a social networking service (SNS) user's value perceptions, and word-of-mouth (WOM) decisions of corporate posts with special reference to emotional attachment. This study proposes a research model of the social knowledge value perception and WOM decision variable, including several precedent variables of a user's personal value factors, such as emotional attachment, self-esteem, and self-exposure. The SNS user recognizes the value of social knowledge through emotional and personal factors.

Enterprise Compensation System Statistical Modeling for Decision Support System Development

“…The impact of age and gender on CSs was investigated by Chung C., Hoon S., and Morris M. [7,8]. Studies have been published on the combination of variable parts of a CS and collective remuneration, the impact of the CS on the work of top managers, CS flexibility and other issues [9][10][11][12][13][14][15].…”

Decision Support System for Solar Energy Adoption

“…Through the use of a DSS, it is expected to obtain useful and relevant information that enables decisions to be made, to give advice on the correct action to be taken and to monitor the decisions made through a simulation process that enables the consequences of the actions taken to be measured [11]. Furthermore, Chung et al [12] refer to the usefulness of a DSS to store and manage knowledge, thus overcoming human limitations to information processing.…”

eHealth and Artificial Intelligence

“…CDS can be knowledge based [16], where the AI areas involved are inference and logic, or non-knowledge based, where machine learning is used [14,17]. CDS can support all aspects of clinical tasks.…”