TY - JOUR
T1 - Conceptual model smart knowledge mapping with process and activity combination quadrant
T2 - Finalization and implementation
AU - Al Hakim, Shidiq
AU - Sensuse, Dana Indra
AU - Budi, Indra
N1 - Funding Information:
This study was supported by Saintek Scholarships form the Education and Training Center of the Ministry of Research and Technology / National Research and Innovation Agency and funded by the Directorate of Research and Community Service , Directorate General of Research and Technology Strengthening, Ministry of Research, Technology and the Higher Education Republic of Indonesia for Research grant scheme PTUPT 2020, Universitas Indonesia No. NKB-2904/UN2.RST/HKP.05.00/2020.
Publisher Copyright:
© 2020 Elsevier Inc.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/11
Y1 - 2020/11
N2 - In modern times, the digital transformation of organizations and communities is a necessity to achieve a competitive advantage. Therefore, the ability to map the potential of scattered and diverse digital knowledge sources automatically and quickly is urgent for identifying critical knowledge so that organizations can effectively carry out knowledge management. This research is a finalization of the initial smart knowledge mapping model to fit out the limited scope of validation studied previously; this was done by conducting a mix-method approach methodology to examine validation using interviews, forum group discussions (FGD) and questionnaires. The results of our questionnaire validation were analyzed using the Fuzzy Delphi Method to determine the level of agreement between the experts. This study proposed conceptual model smart knowledge mapping, which consists of eleven components: leadership, IT infrastructure, environment, objective, stakeholder, business process, KM process, valuable digital activity, knowledge resource, advanced computing and KMap content. This study also proposed a process and activity combination quadrant to determine the availability of knowledge resources for implementation of this model.
AB - In modern times, the digital transformation of organizations and communities is a necessity to achieve a competitive advantage. Therefore, the ability to map the potential of scattered and diverse digital knowledge sources automatically and quickly is urgent for identifying critical knowledge so that organizations can effectively carry out knowledge management. This research is a finalization of the initial smart knowledge mapping model to fit out the limited scope of validation studied previously; this was done by conducting a mix-method approach methodology to examine validation using interviews, forum group discussions (FGD) and questionnaires. The results of our questionnaire validation were analyzed using the Fuzzy Delphi Method to determine the level of agreement between the experts. This study proposed conceptual model smart knowledge mapping, which consists of eleven components: leadership, IT infrastructure, environment, objective, stakeholder, business process, KM process, valuable digital activity, knowledge resource, advanced computing and KMap content. This study also proposed a process and activity combination quadrant to determine the availability of knowledge resources for implementation of this model.
KW - Expert locator
KW - Knowledge management
KW - Researcher finding
KW - Smart knowledge mapping
KW - Smart model
UR - http://www.scopus.com/inward/record.url?scp=85096525507&partnerID=8YFLogxK
U2 - 10.1016/j.hitech.2020.100393
DO - 10.1016/j.hitech.2020.100393
M3 - Article
AN - SCOPUS:85096525507
SN - 1047-8310
VL - 31
JO - Journal of High Technology Management Research
JF - Journal of High Technology Management Research
IS - 2
M1 - 100393
ER -