Open AccessDecision-making model for Auto-ID technology adoption in the banking industry
Author(s) -
F. Afrizal,
Iwan Vanany
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1072/1/012002
Subject(s) - weighting , identification (biology) , investment (military) , process (computing) , barcode , analytic network process , business , value (mathematics) , computer science , industrial organization , risk analysis (engineering) , marketing , operations research , engineering , politics , political science , analytic hierarchy process , law , biology , operating system , medicine , botany , radiology , machine learning
The justification of investment technology Auto-ID (automatic identification) in banks aims to assist practitioners in solving banking problems. A study is needed to find out the importance of investing in Auto-ID technology in a company. This technology will be made in an integrated system that can be used to monitor important documents and assets in the bank with two alternatives that are suitable for this case namely barcode and RFID. In the process of technology adoption, there are various forms of approaches ranging from strategic, economic, analytical and comprehensive where in the case of IT justification is more suitable to use analytic and comprehensive namely DEMATEL and ANP because it needs to capture intangible factors. In the DEMATEL calculation, the operator criteria group with the highest weight is eternity, followed by IT and economic optimization. In addition, it was also found that the most influential recipient groups were satisfaction, cost savings, and expansion. Then in the ANP method, the calculation results are obtained that the global weighting of the criteria with the highest value is an opportunity, followed by benefits, costs, and risks. So that the alternative decision obtained is RFID is the technology chosen for adoption in the banking industry.