Beyond projection: using collaborative visualization to conduct qualitative interviews

Comi, Alice; Bischof, Nicole; Eppler, Martin J.

doi:10.1108/qrom-05-2012-1074

Cited by 38 publications

(38 citation statements)

References 39 publications

(65 reference statements)

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“…In particular, articles [7-11, 14-16, 21, 22] present the results of a number of empirical investigations focused on the study of the specificity of using a separate visualization method and its influence on a specific business objective (in [15,16,21,22] to the theory construction phase). Around half of the specified works are dedicated to subjects such as communication and collaboration.…”

Section: Area Of Researchmentioning

confidence: 99%

“…Gallen School researchers extend the theoretical basis of knowledge visualization through close examination of the organizational abilities of family firms [20], new business model development [9], strategic planning [14], and interviewing [21]. They consider visualization to be a form of boundary object.…”

Section: Main Research Objectivesmentioning

confidence: 99%

“…Problems arising from perception of visual forms are closely examined in the work [19] and illustrated in a number of works [8,11,18]. [21,22] б) [16,18,19] How the use of visual models influences different business processes…”

Section: Issues and Trends In The Work Of The St Gallen Schoolmentioning

confidence: 99%

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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: Area Of Researchmentioning

confidence: 99%

Section: Main Research Objectivesmentioning

confidence: 99%

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

Gavrilova¹,

Alsufyev²,

Grinberg³

2017

Bus. Inform.

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“…Another broad stream of visual methods builds upon the array of established participantcentered research methods. For example, visual interviewing (Comi, Bischof, & Eppler, 2014) builds upon some of the rules of semi-structured interviewing. Visually-supported experiments (Lim, O'Connor, & Remus, 2005;Stewart & Stewart, 2001) adopt much of the classical experimental research apparatus.…”

Section: Literature Reviewmentioning

confidence: 99%

Visual Replay Methodology: A Mixed Methods Approach for Group Discussion Analysis

Alexander

Eppler

Bresciani

2016

Journal of Mixed Methods Research

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In this paper we propose an innovative mixed methods research (MMR) technique and discuss its theory and applications. The visual replay methodology (VRM) is a new graphic way to investigate the discourse patterns during software-aided small-group discussions. A visually supported conversation is recorded through screen capturing and replayed to reconstruct how the discussion has unfolded. The VRM responds to the "integration challenge" that the MMR community is facing -by employing the power of visualization, data integration is leveraged to a new level, where visual synergy gains enable a "value added" research outcome. By employing multi-genre integration and a moderately pragmatic approach, the VRM reduces the researchersubject power-relation gap and contributes to some long-standing MMR debates regarding reflexivity and participation.

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“…The testing of the framework was based on discussion with the interviewee and then sketching the framework from the perspective of how it appeared to work in the company, with comment ensuing. Visual language can, according to Comi et al (2014), lead to the generation of richer data and greater involvement of interviewees. This meant that the interview could accommodate a more exacting discussion in order to obtain the necessary information for the framework.…”

Section: Case Selection and Data Collectionmentioning

confidence: 99%

A framework for understanding purchasing in building construction companies

Bildsten

Manley

2015

Construction Management and Economics

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Purchasing on the part of a building construction company involves actors inside and outside the organization. These actors are driven by different motives that influence purchasing decisions in different situations. An explicit framework that assists in understanding the different purchasing situations would be of benefit to companies and researchers. Through a study of purchasing theory and practices, including interviews with a number of building construction companies, a framework of purchasing is proposed. The framework covers all stages in the purchasing process and focuses on four factors: (1) purchasing situations; (2) level of complexity; (3) active roles; and (4) supply chain involvement. The interrelationships between these factors are discussed from the perspective of the companies.

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Beyond projection: using collaborative visualization to conduct qualitative interviews

Cited by 38 publications

References 39 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

Visual Replay Methodology: A Mixed Methods Approach for Group Discussion Analysis

A framework for understanding purchasing in building construction companies

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