TY - GEN
T1 - An overview of knowledge mapping in digital business industry
T2 - 7th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2020
AU - Sensuse, Dana Indra
AU - Diar, Alifiannisa Lawami
AU - Lusa, Sofian
AU - Elisabeth, Damayanti
N1 - Funding Information:
This work is supported by the Publikasi Terindeks Internasional (PUTI) Prosiding Universitas Indonesia 2020 grant (NKB-873/UN2.RST/HKP.05.00/2020).
Publisher Copyright:
© 2020 Institute of Advanced Engineering and Science (IAES). All Rights Reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - The increasing number of studies in the knowledge map shows attention from researchers in academic and professional areas. However, the knowledge map implementation has not effectively implemented in an organization whose business in the digital business industry, especially startup organization. The main reason is the lack of stakeholder’s understanding of the knowledge map concept. Thus, this study gives a comprehensive understanding of knowledge map implementation in the digital business industry within the last five years period. The study will answer what problems knowledge map tackled, tools, and techniques used currently, the obstacles and benefits of using a knowledge map. The review was conducted through the structured systematic literature review procedure. It started with a review protocol declaration and ended with an analysis of the prior researches obtained from five credible sources. Only 25 of 775 studies remain after several filtering stages. It is found that a knowledge map is mostly used for decision-making purposes. Most studies adopted a visual knowledge map and concept map, even though it is difficult to align the knowledge depth. In the end, this study’s result will help stakeholders to reflect on their existing knowledge relationship structure. This study also offers directions for future research and professional practices in digital business industry firms to perfect their existing organizational intellectual capital through a knowledge map.
AB - The increasing number of studies in the knowledge map shows attention from researchers in academic and professional areas. However, the knowledge map implementation has not effectively implemented in an organization whose business in the digital business industry, especially startup organization. The main reason is the lack of stakeholder’s understanding of the knowledge map concept. Thus, this study gives a comprehensive understanding of knowledge map implementation in the digital business industry within the last five years period. The study will answer what problems knowledge map tackled, tools, and techniques used currently, the obstacles and benefits of using a knowledge map. The review was conducted through the structured systematic literature review procedure. It started with a review protocol declaration and ended with an analysis of the prior researches obtained from five credible sources. Only 25 of 775 studies remain after several filtering stages. It is found that a knowledge map is mostly used for decision-making purposes. Most studies adopted a visual knowledge map and concept map, even though it is difficult to align the knowledge depth. In the end, this study’s result will help stakeholders to reflect on their existing knowledge relationship structure. This study also offers directions for future research and professional practices in digital business industry firms to perfect their existing organizational intellectual capital through a knowledge map.
KW - Digital business
KW - Knowledge management
KW - Knowledge maps
KW - Startup
KW - Systematic literature review
UR - http://www.scopus.com/inward/record.url?scp=85097845726&partnerID=8YFLogxK
U2 - 10.23919/EECSI50503.2020.9251878
DO - 10.23919/EECSI50503.2020.9251878
M3 - Conference contribution
AN - SCOPUS:85097845726
T3 - International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
SP - 216
EP - 221
BT - Proceedings - 2020 7th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2020
PB - Institute of Advanced Engineering and Science (IAES)
Y2 - 1 October 2020 through 2 October 2020
ER -