![]() ![]() Within this blog post, the outcomes of the mapping methods are being framed as situational maps mapping the elements of data collected from specific data worlds. ![]() (3) pin board mapping and (4) conceptual mapping are illustrated with template data from the practice data world. (1) Network mapping and (2) word mapping are illustrated with data from the academic data world Following one of the traditional processes of academic inquiry, from initial theoretical overview through empirical research and theoretical overview refinement towards findings, 4 different methods are reviewed: Situational analysis suggests mapping in order to comprehend the qualitative data and also introduces the notions of situational and social worlds maps (Clarke, 2005, p. 21-22), used to analyze complex research situations that usually always include qualitative data. This blog post focuses on the methodological mode of situational analysis for pre-dominantly qualitative research, as presented by Clarke (2005, pp. The researchers, therefore, face the challenge of navigating the complexities of research opportunities offered by the different data worlds through appropriate methodological modes (Ang, 2011, p. Access to and governance of data has changed and the academic inquiry has spread over the data worlds of (1) practices (empirical data), (2) social media and (3) academic journals on a global scale including the digital environment. However, while the new possibilities were formed, the complexity of the research itself has also elevated. 779) we face today in a digital world that is inherently data-intensive. The process requires becoming deeply immersed in the data, which has benefits beyond the tangible deliverables.Blogpost by Marianna Kozányiová, Junior Researcher in ETHOS Lab and student in MSc Digital innovation & Management >ĭigitalization and globalization escalated academic research by providing new possibilities for the academic inquiry in order to navigate the complex realities (Ang, 2011, p. In many cases, the best results tend to be achieved when the activity is completed by a cross-functional team, including key stakeholders. Once completed, the affinity diagram may be used to create a cause and effect diagram. Once the cards have been sorted into groups the team may sort large clusters into subgroups for easier management and analysis.
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