Ammunition Demilitarization facility (ADF) should be set up the feasible goals and continue to operate, taking into account non-profit characteristics. However, due to the lack of performance measurement methods in ADF, which are essential to national policy at a significant cost each year, the reliability of the evaluation results can be insufficient. In this paper, the Balanced Score Card (BSC) method was applied that could be evaluated to reflect the financial and non-financial features. The relevant literature research and army regulations reflected the results of various interviews of the expert group. The extraction of success performance area in ADF was confirmed using the BSC method and the Decision Variable (DV) candidate was created to use regression for selecting the DV. Additionally, the key performance indicator was presented by verification the feasibility of content by conducting the survey of experts. The implications of this paper are as follows. First, the proposed BSC model was found to be suitable for practical use in ADF reflecting the non-profit characteristics. Second, accurate evaluation of ADF can contribute to long-term development of ADF. Finally, it can be applied to the management process of the other military sector, so it can be expected to play a role in providing basic data and spreading it to other areas.

Social media have been proved as a tool for social branding, but not as a tool for return on investment (ROI) generation. The ultimate goal of any business activities is to generate ROI; therefore, businesses should know what social media practices actually increase their ROI. Researchers in the computer science and engineering areas have attempted to create a systematic model/statistical method to quantify data collected from social media to generate meaningful consumer and market trends and ROI (Zeng, Chen, Lusch, & Li. 2010). This process is called Social Media Intelligence (SMI) or Social Media Analytics (SMA). Researchers have not been yet successful in developing an effective analytical system for social media data to generate ROI. Therefore, the purpose of this study is to explore which social media practices would affect ROI based on SMA process with key techniques used to analyze the indicators in social media (i.e., Key Performance Indicators; KPIs) that show the effectiveness of a company in achieving its business objectives. This study is an exploratory research to determine the nature of a problem in the SMI, to gain further insight, and to show opportunities in the subject area. The result shows that using crawling, topic modeling and social network analysis techniques, businesses could collect and monitor right KPIs depending on their social media goals (e.g., number of followers for awareness, number of link clicks for engagement, number of lead magnets for conversion). After then, using the techniques to analyze the KPIs (e.g., opinion mining, sentiment analysis, etc. for the understand stage), businesses would be able to identify/predict consumer demands and market trends. Based on this prediction, businesses need to visualize the result to customers by executing right marketing strategies (e.g., effective viral marketing, personalized Call-To-Action, customized product/service, direct relationship establishment, frequent communication, establish long relationship, etc.). This study could contribute to the field by presenting the effective KPIs and techniques organized based on the SMA stages and social media goals and could provide the industry a right tool and a direction for their social media promotional practices.

In this paper, quantitative and systematic procedures for establishing Key Performance Indicators (KPI’s) of R&D departments are presented. The proposed methodology is composed of 4 steps : 1) identification of critical success factors, 2) identification of potential KPI’s, 3) determination of KPI’s and 4) monitoring and execution. A Strategy Map has been presented to better align KPI’s with a company’s competitive strategies. Also, Analytical Hierarchy Planning (AHP) is used to determine weights of KPI’s and Data Envelopment Analysis (DEA) is used to analyze the effectiveness of R&D departments. To demonstrate its validity of the proposed method, it has been applied to the R&D divisions of a semiconductor company.