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Three historical phases in research on visual knowledge models. / Gavrilova, Tatiana A.; Alsufyev, Artem I.; Grinberg, Elvira Y.; Mailov, Edward R.

12th International Forum on Knowledge Asset Dynamics: Management in the 21st Century : Resilience, Creativity and Co-creation, IFKAD 2017. ed. / JC Spender; Giovanni Schiuma; Tatiana Gavrilova. St. Petersburg : Издательство Санкт-Петербургского университета, 2017. p. 840-850.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Gavrilova, TA, Alsufyev, AI, Grinberg, EY & Mailov, ER 2017, Three historical phases in research on visual knowledge models. in JC Spender, G Schiuma & T Gavrilova (eds), 12th International Forum on Knowledge Asset Dynamics: Management in the 21st Century : Resilience, Creativity and Co-creation, IFKAD 2017. Издательство Санкт-Петербургского университета, St. Petersburg, pp. 840-850, International Forum on Knowledge Asset Dynamics, Санкт-Петербург, Russian Federation, 7/06/17.

APA

Gavrilova, T. A., Alsufyev, A. I., Grinberg, E. Y., & Mailov, E. R. (2017). Three historical phases in research on visual knowledge models. In JC. Spender, G. Schiuma, & T. Gavrilova (Eds.), 12th International Forum on Knowledge Asset Dynamics: Management in the 21st Century : Resilience, Creativity and Co-creation, IFKAD 2017 (pp. 840-850). Издательство Санкт-Петербургского университета.

Vancouver

Gavrilova TA, Alsufyev AI, Grinberg EY, Mailov ER. Three historical phases in research on visual knowledge models. In Spender JC, Schiuma G, Gavrilova T, editors, 12th International Forum on Knowledge Asset Dynamics: Management in the 21st Century : Resilience, Creativity and Co-creation, IFKAD 2017. St. Petersburg: Издательство Санкт-Петербургского университета. 2017. p. 840-850

Author

Gavrilova, Tatiana A. ; Alsufyev, Artem I. ; Grinberg, Elvira Y. ; Mailov, Edward R. / Three historical phases in research on visual knowledge models. 12th International Forum on Knowledge Asset Dynamics: Management in the 21st Century : Resilience, Creativity and Co-creation, IFKAD 2017. editor / JC Spender ; Giovanni Schiuma ; Tatiana Gavrilova. St. Petersburg : Издательство Санкт-Петербургского университета, 2017. pp. 840-850

BibTeX

@inproceedings{18056a912fb342d388ed8de9a13c03c5,
title = "Three historical phases in research on visual knowledge models",
abstract = "Purpose – The major focus of the current paper is historical analysis of knowledgevisualization (KV) field. The great interest and growth of research on knowledgevisualization results in the need of defining its present state-of-the-art. The paperaddresses the question of solidness of theoretical basis and completeness of empiricalevidence within the field. It presents the main results of the critical literature review withthe focus on the works of Professor Martin J. Eppler and co-authors, whose articles andbooks cover broad and diverse area of research on visual business knowledge models.This research team forms the pioneering group in this field and may be called the St.Gallen School of KV.Design/methodology/approach – The papers is based on a systematic literature reviewof 23 works on the given topic followed by in-depth analysis of the key papers. Theanalysis was focused on research methods and applied methodology.Originality/value – The paper proposes the novel definition of three phases of KVresearch: preliminary, empirical and theoretical phase. The first phase answers thequestion “What are visual business knowledge models? How can different visualknowledge models be classified in accordance with certain business purposes?”. Itexplores wide range of visual models which represent all types of business information.In the second phase, the focus shifts from pure data to business knowledge with the mainresearch question “How does it influence on business processes?”. It explores number ofvisual business knowledge models via empirical research. In the third phase, research isaimed at answering the question “Why?”. Namely, why it works this way, why there arecertain restrictions, and why combination of visualization procedures is more efficient.Practical implications – The papers may serve as an introduction to the researchers tostate-of-the-art of the modern KV field. For managerial practitioners, it shows the richpalette of popular business diagrams (mind maps, concept maps, business diagrams). Italso cautions managers about the existence of cognitive pitfalls related to visualization,suggesting to pay attention to emotional and social aspects of their use.Keywords – knowledge management research, review, visual modelling, knowledgemodels.",
keywords = "knowledge structuring, visual knowledge models, РИНЦ, Web of Science, РИНЦ, Web of Science",
author = "Gavrilova, {Tatiana A.} and Alsufyev, {Artem I.} and Grinberg, {Elvira Y.} and Mailov, {Edward R.}",
note = "Gavrilova, T. A. Three Historical Phases in Research on Visual Knowledge Models / T. A. Gavrilova, A. I. Alsufyev, E. Y. Grinberg, E. R. Mailov // 12th International Forum on Knowledge Asset Dynamics : Knowledge Management in the 21st Century : Resilience, Creativity and Co-creation, IFKAD 2017. – St. Petersburg, 2017. – P. 840-850.; null ; Conference date: 07-06-2017 Through 09-06-2017",
year = "2017",
language = "English",
pages = "840--850",
editor = "Spender, {JC } and Schiuma, {Giovanni } and Gavrilova, {Tatiana }",
booktitle = "12th International Forum on Knowledge Asset Dynamics",
publisher = "Издательство Санкт-Петербургского университета",
address = "Russian Federation",

}

RIS

TY - GEN

T1 - Three historical phases in research on visual knowledge models

AU - Gavrilova, Tatiana A.

AU - Alsufyev, Artem I.

AU - Grinberg, Elvira Y.

AU - Mailov, Edward R.

N1 - Conference code: 12

PY - 2017

Y1 - 2017

N2 - Purpose – The major focus of the current paper is historical analysis of knowledgevisualization (KV) field. The great interest and growth of research on knowledgevisualization results in the need of defining its present state-of-the-art. The paperaddresses the question of solidness of theoretical basis and completeness of empiricalevidence within the field. It presents the main results of the critical literature review withthe focus on the works of Professor Martin J. Eppler and co-authors, whose articles andbooks cover broad and diverse area of research on visual business knowledge models.This research team forms the pioneering group in this field and may be called the St.Gallen School of KV.Design/methodology/approach – The papers is based on a systematic literature reviewof 23 works on the given topic followed by in-depth analysis of the key papers. Theanalysis was focused on research methods and applied methodology.Originality/value – The paper proposes the novel definition of three phases of KVresearch: preliminary, empirical and theoretical phase. The first phase answers thequestion “What are visual business knowledge models? How can different visualknowledge models be classified in accordance with certain business purposes?”. Itexplores wide range of visual models which represent all types of business information.In the second phase, the focus shifts from pure data to business knowledge with the mainresearch question “How does it influence on business processes?”. It explores number ofvisual business knowledge models via empirical research. In the third phase, research isaimed at answering the question “Why?”. Namely, why it works this way, why there arecertain restrictions, and why combination of visualization procedures is more efficient.Practical implications – The papers may serve as an introduction to the researchers tostate-of-the-art of the modern KV field. For managerial practitioners, it shows the richpalette of popular business diagrams (mind maps, concept maps, business diagrams). Italso cautions managers about the existence of cognitive pitfalls related to visualization,suggesting to pay attention to emotional and social aspects of their use.Keywords – knowledge management research, review, visual modelling, knowledgemodels.

AB - Purpose – The major focus of the current paper is historical analysis of knowledgevisualization (KV) field. The great interest and growth of research on knowledgevisualization results in the need of defining its present state-of-the-art. The paperaddresses the question of solidness of theoretical basis and completeness of empiricalevidence within the field. It presents the main results of the critical literature review withthe focus on the works of Professor Martin J. Eppler and co-authors, whose articles andbooks cover broad and diverse area of research on visual business knowledge models.This research team forms the pioneering group in this field and may be called the St.Gallen School of KV.Design/methodology/approach – The papers is based on a systematic literature reviewof 23 works on the given topic followed by in-depth analysis of the key papers. Theanalysis was focused on research methods and applied methodology.Originality/value – The paper proposes the novel definition of three phases of KVresearch: preliminary, empirical and theoretical phase. The first phase answers thequestion “What are visual business knowledge models? How can different visualknowledge models be classified in accordance with certain business purposes?”. Itexplores wide range of visual models which represent all types of business information.In the second phase, the focus shifts from pure data to business knowledge with the mainresearch question “How does it influence on business processes?”. It explores number ofvisual business knowledge models via empirical research. In the third phase, research isaimed at answering the question “Why?”. Namely, why it works this way, why there arecertain restrictions, and why combination of visualization procedures is more efficient.Practical implications – The papers may serve as an introduction to the researchers tostate-of-the-art of the modern KV field. For managerial practitioners, it shows the richpalette of popular business diagrams (mind maps, concept maps, business diagrams). Italso cautions managers about the existence of cognitive pitfalls related to visualization,suggesting to pay attention to emotional and social aspects of their use.Keywords – knowledge management research, review, visual modelling, knowledgemodels.

KW - knowledge structuring

KW - visual knowledge models

KW - РИНЦ

KW - Web of Science

KW - РИНЦ

KW - Web of Science

UR - https://www.ifkad.org/proceedings/year-2017/papers17/

M3 - Conference contribution

SP - 840

EP - 850

BT - 12th International Forum on Knowledge Asset Dynamics

A2 - Spender, JC

A2 - Schiuma, Giovanni

A2 - Gavrilova, Tatiana

PB - Издательство Санкт-Петербургского университета

CY - St. Petersburg

Y2 - 7 June 2017 through 9 June 2017

ER -

ID: 9426484