The paper "Cultural Dependence of Decision Support Systems" is a perfect example of management coursework. The scope of the functions and operations of modern-day organizations have become so complex that isolation of system is no longer applicable. Organizations have to rely on the ability of their information systems to store, analyze, and synthesize data and information acquired by the system. Because the majority of the data and information obtained by organizations are stored electronically, making decisions now depends on the ability of the information system (IS) and information technology (IT) platforms to streamline data and information.
More recently, organizations rely on Decision Support Systems for their decision-making process knowing that the decisions offered by the DS system are more reliable and more comprehensive compared to decisions made manually. Decision Support Systems (DSS) is a data modeling tool where computer-based system design is implemented to analyze and synthesize data and information as well as integrate the knowledge of communications technology available on the system to make decisions (Power, 1997). It basically employs analytical methods in solving large and (typically) unstructured problems, analyzes the impacts of these problems on the user-defined environment, and provides numerous choices in solving the problem.
DSS can be narrow or broad, depending on the type of organization applying it and the scope of operation DSS needs to cover. Essentially, DSS attempts to solve or provide options in solving any problem (Mora et al, 2005). There is no doubt about the ability of DSS to handle, manage, and streamline data and information. However, serious issues arise when organizations using DSS platforms take into account the limitations of the developers assigned to work on specific areas of the platform.
Development and implementation of DSS depend highly on the ability of the people involved to streamline the scope of the function and operation of the software (Forgionne et al, 2005). This means that the ability of the DSS to analyze, process, and solve problems is bound to the human limitations involved in its development and implementation phases. In this regard, this paper will identify and determine the effect of the subjectivities involved in the development and implementation phases of DSS, particularly how cultural differences affect the performance of DSS. Decision-Making Understanding the outcomes of decisions requires a thorough understanding of the processes involved in decision-making.
Individuals make decisions based on their biases, perceptions, belief systems, and their understanding of the contexts in which decisions are to be made (O’ Boyle, 1996). In systems development, the ability of the system to interact with its users depends on the programs, algorithms, and language placed by the developers into it. Developers work on DSS platforms (or any other platforms) using a standardized and customized approach. Developers typically do this in order to provide clients with the most objective platform suited for their client’ s needs.
Developers conform to international standards on system development as well as on logical progression of systems development in order to achieve the desired results. However, the ability of the developers to conform to the standards outlined in developing IT systems is limited to their ability to comprehend the system requirement and on their interpretation of the requirement (Monro et al, 2002). This means that the human factors involved in systems development like the understanding of the system requirement, the translation of the system requirement into algorithms, and defining the boundaries of the system requirement are subject to certain human limitations.
One of the most common and most prevalent human limitations is culture.