دانلود رایگان مقاله لاتین مشارکت فکری در تجسم اطلاعات تجاری از سایت الزویر
عنوان فارسی مقاله:
مشارکت فکری در تجسم اطلاعات کسب و کار: یک چارچوب یکپارچه از قابلیت های تجسم و ابعاد هوش بصری
عنوان انگلیسی مقاله:
Business Information Visualization Intellectual Contributions: An Integrative Framework of Visualization Capabilities and Dimensions of Visual Intelligence
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بخشی از مقاله انگلیسی:
2. VISUALIZATION TERMINOLOGY
A number of terms related to visualization of data are available in the literature, such as Visualization (in general), Data Visualization, Information Visualization (often called InfoViz by practitioners), Scientific Visualization, Visual Analytics, and Business Visualization (often called BizViz by practitioners). Data Visualization emerged in the 1950s with the advent of computer graphics [8] and is defined as the science of visual representation of data. Scientific Visualization was used initially to refer to visualization as a part of a process of scientific computing [8] and focuses on processes for steering the data set and seeing the unseen, thereby enriching existing scientific methods [9]. Other variants and sub-types of data and scientific visualization were coined as well and are based on the type of representation they embody (Cartographic Visualization) or knowledge domain (Statistical Visualization). ACCEPTED MANUSCRIPT ACCEPTED MANUSCRIPT 5 Information Visualization has been coined in 1999 as the use of computer-supported interactive visual representations of abstract data to amplify cognition [10]. Typical examples of abstract data that has no inherent mapping to space are employee turnover statistics, bank branch deposit growth data or sales goals figures. Others suggested that “Information visualization utilizes computer graphics and interaction to assist humans in solving problems [11 p.58]” or define it as “…visual representations of the semantics, or meaning, of information. In contrast to scientific visualization, information visualization typically deals with nonnumeric, nonspatial, and high-dimensional data [12 p.12]” or as communication of abstract data through the use of interactive visual interfaces [13]. Visual Analytics is the science of analytical reasoning facilitated by interactive visual interface [14]. The initial domain driving the development of this discipline was homeland security but is currently being applied in security, health, commerce, transportation, energy, and personal applications. It is often described as dealing with complex data that enables detection of the expected and discovery of the unexpected [15]. BIV is an incarnation of visualization and is increasingly gaining researchers' and practitioners' attention [9]. While data visualization has been associated to BI from early static charting to interactive charting and dashboarding, BIV has been primarily presented through a representation and interaction lens or a decision making and task-orientation lens. A number of definitions exist for BIV. Tegarden defines it as “simply the use of visualization technologies to visualize business data or information (p.8)”. He also recognizes that “…business information has been visualized in the form of tables, outlines, pie charts, line graphs, and bar charts for a very long time. However, today business information visualization means the use of multidimensional graphics to represent business-related data or information[16 p.8].” Zhang offers a more detailed definition of BIV as "a process of creating appropriate computer-generated visual representations of large amounts of non-geometric managerial data for human problem-solving and decision-making support[9 p.4]." Card, Mackinlay and Shneiderman [10] definition could be applied to business context by defining BIV as the use of computer-supported interactive visual representations of abstract business data to amplify cognition. ACCEPTED MANUSCRIPT ACCEPTED MANUSCRIPT 6 One could discern many similarities and differences among these various definitions. A clear thread among all of the definitions is the computer-supported interactive visualization of data. A temporal dimension can be observed, in that whereas earlier definitions focused on the development of visualization techniques and on the data understanding, the latter definitions focused more on the use of visualization, its impact, and, even, its role in behavioral understanding (for example, in security and business applications). We could offer a more comprehensive definition of BIV as the use of computer-supported interactive visual representations of business data to amplify cognition, achieve better data, business, and behavior understanding to improve decision making and business impact. The advantage of this definition is that it integrates the main features of previous definitions and brings forth the importance of understanding behavior, improving decision making and business impact, and explicitly highlights the importance of linking visualization to human cognition.
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کلمات کلیدی:
[PDF]Business Information Visualization for Decision-Making ... - CiteSeerXciteseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.13.1279&rep=rep1...pdfby P Zhang - Cited by 22 - Related articlesBusiness Information Visualization for Decision-Making Support. -- A Research Strategy ... theoretical and practical contributions. Literature Review and ... obvious physical model that can be used to represent the data that humans can ...[PDF]Business Information Visualization: A Visual ... - Semantic Scholarhttps://pdfs.semanticscholar.org/3da3/9a3e9bd8421ddbf978ff692cd4b708568a2e.pdfby D Bačić - Cited by 1 - Related articlesBusiness Information Visualization, Visual Intelligence, Business Intelligence, Decision Performance ... capabilities of BI tools contribute to the goal of ..... The perceptual, emotional and cognitive processes which ultimately lead to the choice of ...Dinko Bačić (Bacic) | Professional Profile - LinkedInhttps://www.linkedin.com/in/dinkobacicBusiness Information Visualization Intellectual Contributions: An Integrative Framework of Visualization Capabilities and Dimensions of Visual Intelligence.
