TY - GEN
T1 - Analysis of information system operation cost based on working time and unit cost
AU - Tsunoda, Masateru
AU - Monden, Akito
AU - Matsumoto, Kenichi
AU - Ohiwa, Sawako
AU - Oshino, Tomoki
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/23
Y1 - 2016/8/23
N2 - Recently, information system operation becomes more important because of increasing size of information system and outsourcing the system operation. However, it is not easy for customers to judge the validity of the system operation cost. To provide information which helps the judgment, we analyzed factors which affect system operation cost. Working time of system operation service provider has the strong relationship to the cost. So, if customers know the working time, they estimate the cost properly. However, it is difficult for customers to know the working time generally. So, we assumed that customers estimate unit cost and working time, to speculate total operation cost roughly. To help the estimation, we analyzed factors affected working time and unit cost. The analysis results show that working time is settled based on the software size and the number of users, and the unit cost of the engineers increases when network range of the system is wide.
AB - Recently, information system operation becomes more important because of increasing size of information system and outsourcing the system operation. However, it is not easy for customers to judge the validity of the system operation cost. To provide information which helps the judgment, we analyzed factors which affect system operation cost. Working time of system operation service provider has the strong relationship to the cost. So, if customers know the working time, they estimate the cost properly. However, it is difficult for customers to know the working time generally. So, we assumed that customers estimate unit cost and working time, to speculate total operation cost roughly. To help the estimation, we analyzed factors affected working time and unit cost. The analysis results show that working time is settled based on the software size and the number of users, and the unit cost of the engineers increases when network range of the system is wide.
KW - benchmarking
KW - it operations
KW - regression analysis
KW - work efficiency
UR - http://www.scopus.com/inward/record.url?scp=84987967918&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84987967918&partnerID=8YFLogxK
U2 - 10.1109/ICIS.2016.7550863
DO - 10.1109/ICIS.2016.7550863
M3 - Conference contribution
AN - SCOPUS:84987967918
T3 - 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings
BT - 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings
A2 - Uehara, Kuniaki
A2 - Nakamura, Masahide
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2016
Y2 - 26 June 2016 through 29 June 2016
ER -