Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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. ред. / JC Spender; Giovanni Schiuma; Tatiana Gavrilova. St. Petersburg : Издательство Санкт-Петербургского университета, 2017. стр. 840-850.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
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