Digital Economy Inclusiveness Information System Model to Encourage National Economic Recovery: Recover Together, Recover Stronger

DOI

10.2991/aebmr.k.211207.009How to use a DOI?

Keywords

Digital Economy; Inclusiveness; Information System Model; National Economic Recovery

Abstract

In the last decade, the Digital Economy has experienced significant development and has the opportunity to become the main driver of the economy in Indonesia. The Covid-19 Pandemic has a strong influence on economic instability especially has a significant effect on MSMEs. The Indonesian government has accelerated efforts to recover the national economy using the digital economy through MSME innovation in implementing the digitalization program. The digital economy has become paramount for industries, or sectors including MSMEs, trying to adopt better and more effective methods of providing services to their clients and customers daily. Inclusive growth remains one of the barriers to the use of digital technology in Indonesia. There is still a myriad of problems related to the digital divide, such as the dynamic capability of human resources to adapt to digital technology, the lack of financing and access to finance for MSMEs, and the lack of policies and regulations covering the digital economy sector The COVID-19 pandemic is a disaster, but also momentum for Indonesia to carry out digital economic inclusion, which is all forms of economic activity that utilizes information and communication technology assistance. The purpose of this research is to develop the digital economic inclusiveness information system model to encourage national economic recovery. The involvement of all business entities in the financial ecosystem to recover together has an impact for recovery stronger in national economic recovery. The dominant business processes focussed on this Information System Model are the process of assisting, or mentoring MSMEs, the application of MSME digitalization, and MSME financing in increasing financial inclusion that supports national economic recovery. This Applied Research uses an Action Research method approach. Information system modeling using the Enterprise Knowledge Development-Change Management method. The selection of this information system modeling can involve all entities related to the system together and support the development of financial literacy knowledge and digitalization for change management in the MSME business. While developing system applications, the Agile Software Development with the Scrum Framework had considered very appropriately because this rapid development method has very high productivity. This study reveals the importance of the inclusiveness of the digital economy to recover together and recover stronger, especially during the COVID-19 pandemic. The results show a model information system, includes the mentoring process for MSME actors by MSME partners, Digital platforms developers, and the banking sector. This information system model also supports the MSME digitalization process applied, then the financing process and financial access by MSMEs to the banking sector. The monitoring and evaluation of this digital economy inclusivity model by financial regulators in Indonesia. This Digital Economic Inclusive Information System Model to encourage national economic recovery with an emphasis on recovery together, recover stronger will contribute significantly strengthening the economic recovery policy strategy in guarding the post-covid-19 new-normal era.

Copyright

© 2021 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Mercurius Broto Legowo
AU  - Deden Prayitno
AU  - Budi Indiarto
PY  - 2021
DA  - 2021/12/07
TI  - Digital Economy Inclusiveness Information System Model to Encourage National Economic Recovery: Recover Together, Recover Stronger
BT  - Proceedings of the Conference Towards ASEAN Chairmanship 2023 (T-A-C 23 2021)
PB  - Atlantis Press
SP  - 61
EP  - 67
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.211207.009
DO  - 10.2991/aebmr.k.211207.009
ID  - Legowo2021
ER  -