Creative problem solving in digital space using visual analytics

Cybulski, Jacob L.; Keller, San; Nguyen, Lemai; Saundage, Dilal

doi:10.1016/j.chb.2013.10.061

Cited by 44 publications

(25 citation statements)

References 49 publications

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“…As a result, the scientific community currently possesses an extremely restricted set of data on what is actually happening in visualization practice in business. This situation raises the issue of the importance and prospects of further study of this field using descriptive methods with the aim of identifying prevailing approaches to visualization in business [33][34][35].…”

Section: Features Of Knowledge Visualization Researchmentioning

confidence: 99%

Knowledge visualization: Critique of the St. Gallen School and an analysis of contemporary trends

Gavrilova¹,

Alsufyev²,

Grinberg³

2017

Bus. Inform.

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АbstractThe purpose of this article is the analysis of leading European research in the fi eld of knowledge visualization from the point of view of the accumulated theoretical base, practice of application, problems, and trends.The need for digital business transformation for survival in the era of high-speed, mobile intelligent applications and big data has become apparent. However, understanding and interpretation of information can be performed only by humans. Modern managers cope with information "explosion" through visualization. Visualization helps them to understand, to compress and to demonstrate the ocean of numbers, words, and ideas. The number of works devoted to the theme of visualization is growing every year. There are numerous studies on the visualization of networks and relationships, and visualization of communication with a consumer. Fewer articles have been devoted to the visualization of knowledge in the implementation of business practices. At the same time, scientists are examining 1 This work was supported by the Russian Science Foundation MODELING OF SOCIAL AND ECONOMIC SYSTEMS BUSINESS INFORMATICS No. 3(41) -2017 8 one specifi c area of application of visualization and only a few contribute to the theory of the subject and study it in a versatile manner. The latter include the works of researchers from the University of St. Gallen (Switzerland), which we call in this article the St. Gallen School.We propose systematization of the following basic stages of research formation of the aforementioned School: 1) the preliminary stage, 2) the stage of empirical data accumulation, and 3) the stage of theory development. The School's contribution to the theory and practice of management was analyzed. Its contribution to theory includes the classifi cation of visualization techniques, a description of visualization use in business, the development of the boundary objects theory, as well as a detailed description of experimental studies. Contribution to business practices means implementation of educational projects and the development of new visual models. The fragmented nature of research is identifi ed: theoretical work is focused on how several visual models infl uence the implementation of certain business practices; empirical work often describes consulting projects, but do not provide an understanding of how to apply visualization techniques when there is no researcher-consultant.Based on our analysis of the literature, we demonstrate that the major trend in information processing is focus on knowledge representation based on data, not data as such. The challenging areas related to applied research methods are highlighted as follows: lack of consistency, and lack of distinction between the concepts of "data visualization" and "knowledge visualization". Thus, there is a need to distinguish visualization of knowledge in a separate area of study.

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Section: Features Of Knowledge Visualization Researchmentioning

confidence: 99%

Knowledge visualization: Critique of the St. Gallen School and an analysis of contemporary trends

Gavrilova¹,

Alsufyev²,

Grinberg³

2017

Bus. Inform.

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“…The respective information points to the importance of business capabilities because their presence in the business structure indicates that the organization is able to understand its business needs and interpret the context for decision-making in relation to problems and opportunities that emerge in the routine, with the potential to communicate and share them Business analytics whenever necessary (Acito and Khatri, 2014;Bayrak, 2015;Cosic et al, 2015;Cybulski et al, 2013;Delen and Demirkan, 2013;McClure and Sircar, 2008;Mortenson et al, 2015;Ranyard et al, 2015;Rasmussen and Ulrich, 2015;Troilo et al, 2015;Wilder and Ozgur, 2015). Nevertheless, another explanation for this outcome may be in the reality of the organizations surveyed.…”

Section: Evaluation Of the Proposed Modelmentioning

confidence: 99%

Business analytics leveraging resilience in organizational processes

Sincorá

Oliveira

Zanquetto-Filho

et al. 2018

RAUSP

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Purpose -The survival and growth of organizations presently depend on managing processes and capabilities to effectively use large volumes of data from different sources to assist organizations' strategic and operational goals. This paper aims to test the relationship between organizational analytical capabilities (OAC), the performance results in organizational resilience (OR) and the business process management maturity (BPMM).Design/methodology/approach -Based on a survey of companies operating in the state of Espírito Santo, Brazil, a conceptual model was proposed and tested using the partial least squares algorithm.Findings -The results confirm the proposed theoretical hypotheses that OAC and BPMM positively impact OR. In addition, the results show that OAC exert a moderating effect on the relationship between BPMM and OR.Practical implications -It is understood that stimulating the practice of data and information analysis in the organizational routine translates into a relevant managerial behavior, as this attitude leverages the knowledge development and understanding about how to manage unexpected risk events, enabling companies to assess their ability to react to disruptions, even in terms of operational failures.

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“…Analysis of publications on research related to scientific visualization [10,11] shows the importance of the problem of a holistic perception of the visualized data. The proposed solutions affect different aspects, beginning with the possibility of differently to see the same data, ending with the introduction of a special set of metaphors for displaying data and knowledge.…”

Section: Review Of Methods Of Visualization Management Of Spatialmentioning

confidence: 99%

Visualization Management of the Spatial Data Containing Uncertainty

Belyakov¹,

Savelyeva²,

Belyakova³

et al. 2017

Proceedings of the IV International Research Conference "Information Technologies in Science, Management, Social Sphere and Med

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Abstract-The paper is devoted to the development of a method of visualization management of the spatial data on electronic maps. It is assumed that spatial data are obtained from sources that didn't allow to define fully and consistently all characteristics of objects or events. There are defects of display in the visual analysis of the maps containing cartographic objects with uncertainty. The method of visualization management is proposed, which allows to control the utility of visual representation of the map with defects. The special presentation of the analysis workspace is introduced, the structure of expert rules is described, allowing to realize the selection of information from the geographic information system database to reduce redundancy and ensure the integrity of the picture. The form of the utility function is defined. The restriction of perception is introduced, which is determined by the complexity of the analysis workspace. The complexity measure is the number of cartographic objects. The algorithm of visualization management is given.

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Creative problem solving in digital space using visual analytics

Cited by 44 publications

References 49 publications

Knowledge visualization: Critique of the St. Gallen School and an analysis of contemporary trends

Knowledge visualization: Critique of the St. Gallen School and an analysis of contemporary trends

Business analytics leveraging resilience in organizational processes

Visualization Management of the Spatial Data Containing Uncertainty

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