Organizational decision support systems (ODSS) are a new type of decision support systems (DSS) focusing on the organization wide issues rather than individual, group, or departmental issues. Because of its organization wide scope, a typical ODSS cuts across organizational functions or hierarchical layers. Thus, seamless integration with organization's diverse IS applications running on heterogeneous platforms becomes a critical issue for building a successful ODSS. We analyze the Korea Telecom (KT)'s Operations and Maintenance (O&M) division focusing on its investment strategies. We develop a conceptual framework which links O&M investment decisions to performance of its operational branches across the nation. In this framework, performance of each local branch is evaluated on two dimensions: quality of service (QOS) and difficulty of the local operating environment (CDI: context difficulty index). This approach will enable O&M management to explicate the major causes behind differences in service quality among local branches and to determine proper scale and area of O&M investment for competing branches. To support the above framework, we also develop a prototype for the KTOM-ODSS with an EIS like user friendly interface. When a complete ODSS is implemented on top of various KT transaction processing systems, it will become a critical component of the O&M Integrated Decision Support Environment (IDSE).
|Title of host publication||Information Systems - Organizational Systems and Technology|
|Publisher||IEEE Computer Society|
|Number of pages||10|
|Publication status||Published - 1996|
|Event||29th Hawaii International Conference on System Sciences, HICSS 1996 - Wailea, United States|
Duration: 1996 Jan 3 → 1996 Jan 6
|Name||Proceedings of the Annual Hawaii International Conference on System Sciences|
|Conference||29th Hawaii International Conference on System Sciences, HICSS 1996|
|Period||96/1/3 → 96/1/6|
Bibliographical noteFunding Information:
* This paper was supported by KTForea Telecom) in 1994.
© 1996 IEEE.
All Science Journal Classification (ASJC) codes