• Korean Management Science Review
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• v.21 no.2
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• pp.145-165
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• 2004

Frequently. lots of organizations have experienced the value discrepancy between the expected value and the realized value from IS (information systems) investments. Being positive or negative the difference is. however, the existence of discrepancy itself is an evidence of less-than-sound management and measurement of IS projects. Analyzing the factors that cause such discrepancy has become an issue of scrutiny both in academia and in practice. We model which factors. as predictors, will affect the value discrepancy, as dependent variables. in IS investment. This research will establish and examine the research model. the validity of category classification of value discrepancy factors and the perceptual level of IS value discrepancy by survey research. As a result of the survey research. the strategic alignment. the proper system design for staffs. the project planning capability. and interdepartmental task cooperation are perceived as the factors that significantly affect the value discrepancy. And known as IS success factors such as the managerial support, the change management, the standardized process. and the competitive investment are not significant factors. The research findings will provide and emphasize useful implications which factors should be deliberately investigated in IS investment both for practices considering IS deployment and for academia.

• The Journal of Information Systems
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• v.7 no.1
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• pp.23-36
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• 1998

본 연구는 특정 조직의 정보 인프라 개발을 위한 전략적 계획을 수립하기 위해 의 사결정 지원 도구로서 다수 목표 의사결정 모형 (Multiple Objective Decision-Making Model : MODEM), 구체적으로는 목표 계획법(Goal Programming : GP)의 응용을 제시하고 있다. 연구대상 조직은 3년 동안의 정보 인프라 개발 프로젝트를 추진하고 있다. 이러한 특 별 프로젝트는 조직 전체에 궁극적인 통합 정보 기술 서비스를 제공하기 위하여 최고 의사 결정자의 전략적 계획 측면에서 추진되고 있다. 본 연구는 총 8개의 목표가 수립되었고 현 조직 환경하에서 이들 목포들에 대한 우선 순위가 설정되었다. Micro Manager가 본 연구 모형의 실행을 위하여 활용되었고 분석결과 6개의 정보 인프라 프로젝트 중 첫 5개가 실행 되기 위하여 선택되어 졌으며 4개의 네트? 대안 중에서 첫 번째 대안이 최적 대안으로 선 택되었다. 초기 설정 목표들에 대한 우선 순위를 변경시킴으로써 연구 모형의 가변성을 검 토하기 위해 민감도 분석이 실행되었다. 변경된 목표와 우선 순위하에서는 6개의 정보 인프 라 프로젝트 중 3개만이 실행을 위하여 선택되었고 네트? 대안은 첫 번째 대안이 역시 최 적 대안으로 선택되었다. 본 연구 모형은 다수의 서로 상층하는 목표를 가지는 조직 및 이 와 유사한 경영환경에 직면해 있는 전략적 의사결정 수립에 효과적인 방안을 제시할 것이다.

• Asian Journal of Innovation and Policy
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• v.11 no.1
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• pp.110-147
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• 2022

Many megacities are exposed to natural hazards such as earthquakes, and when located in coastal regions, are also vulnerable to hurricanes and tsunamis. The physical infrastructures of transportation systems in megacities have become so complicated that very few organizations can understand their response to extreme events such as earthquakes and can effectively mitigate subsequent economic downfalls. The technological advances made in recent years to support these complex systems have not grown as fast as the rapid demand on these systems burdened by population shift toward megacities. The objective of this paper is to examine the risks imposed on and recoveries of transportation systems in megacities as the result of extreme events such as an earthquake. First, the physical damage to transportation infrastructure, loss of the transportation system performance, and the corresponding economic loss from disruptions to passenger and freight traffic is evaluated. Then, traffic flows are re-routed to reduce vehicles' delay due to earthquakes using a microscopic traffic flow simulator with an optimization model and macroscopic terminal simulator. Finally, the economic impact of the earthquake is estimated nationwide. Southern California is regarded as the region of study. The results demonstrate the effectiveness of the integrated model and provide what and how to prepare innovative resilience policies of urban infrastructure for a natural disaster occurrence.

• Journal of Distribution Science
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• v.22 no.6
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• pp.69-81
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• 2024

Purpose: Small airports are social and economic enablers and facilitate businesses and individuals. They contribute significantly to the distribution and logistics of the local produce - be it goods or services, thereby impacting the economy but have limited access to funds and poor management restricts their development. Despite the importance, small airports in small cities struggle financially as they are unable to earn profits and have higher operating costs. In other words, this is a paradoxical situation for small airports wherein, despite losses, the regional or national public authorities still finance such airports under socio-economic obligations. Therefore, this study aims to identify the critical success factors for improving small airports' performance and propose a business model. Research design, data and methodology: Using the qualitative research, interviews with 16 stakeholders from Guwahati, Tirupati, Bhubaneswar and Dehradun airports in india were examined. Results: The analysis reveals strategic planning and low cost, non-passenger services, and development of airport economic region as the main factors contributing towards small airports' success. Additionally, providing logistics to the local businesses and creating niche markets are suggested. Conclusions: Small airports, based on their services and the means of targeting customers, could select the relevant approach to improve their overall performance and improve profitability.

• Geomechanics and Engineering
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• v.36 no.2
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• pp.111-119
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• 2024

In the realm of rock excavation projects, precise estimation of the drilling rate index stands as a pivotal factor in strategic planning and cost assessment. This study introduces and evaluates two pioneering computational intelligence models designed for the prognostication of the drilling rate index, a pivotal parameter with direct implications for cost estimation in rock excavation projects. These models, denoted as the Relevance Vector Regression (RVR) optimized with the Invasive Weed Optimization algorithm (IWO) (RVR-IWO model) and the RVR integrated with the Shuffled Frog Leaping algorithm (SFL) (RVR-SFL model), represent a groundbreaking approach to forecasting drilling rate index. The RVR-IWO and RVR-SFL models were meticulously devised to harness the capabilities of computational intelligence and optimization techniques for drilling rate index estimation. This research pioneers the integration of IWO and SFL with RVR, constituting an unprecedented effort in forecasting drilling rate index. The primary objective of this study was to gauge the precision and dependability of these models in forecasting the drilling rate index, revealing significant distinctions between the two. In terms of predictive precision, the RVR-IWO model emerged as the superior choice when compared to the RVR-SFL model, underscoring the remarkable efficacy of the Invasive Weed Optimization algorithm. The RVR-IWO model delivered noteworthy results, boasting a Variance Account for (VAF) of 0.8406, a Mean Squared Error (MSE) of 0.0114, and a Squared Correlation Coefficient (R²) of 0.9315. On the contrary, the RVR-SFL model exhibited slightly lower precision, yielding an MSE of 0.0160, a VAF of 0.8205, and an R2 of 0.9120. These findings serve to highlight the potential of the RVR-IWO model as a formidable instrument for drilling rate index prediction, particularly within the framework of rock excavation projects. This research not only makes a significant contribution to the realm of drilling engineering but also underscores the broader adaptability of the RVR-IWO model in tackling an array of challenges within the domain of rock engineering. Ultimately, this study advances the comprehension of drilling rate index estimation and imparts valuable insights into the practical implementation of computational intelligence methodologies within the realm of engineering projects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.157-165
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• 2016

Among high-tech products, the mobile phone has experienced a rapid rate of innovation and a shortening of its product life cycle. The shortened product life cycle poses major challenges to those involved in the creation of forecasting methods fundamental to strategic management and planning systems. This study examined whether the best model applies to the entire diffusion life span of a mobile phone. Mobile phone sales data from a specific mobile service provider in Korea from March of 2013 to August of 2014 were analyzed to compare the performance of two S-shaped diffusion models and two non-linear regression models, the Gompertz, logistic, Michaelis-Menten, and logarithmic models. The experimental results indicated that the logistic model outperforms the other three models over the fitted region of the diffusion. For forecasting, the logistic model outperformed the Gompertz model for the period prior to diffusion saturation, whereas the Gompertz model was superior after saturation approaches. This analysis may help those estimate the potential mobile phone market size and perform inventory and order management of mobile phones.

• Korean Chemical Engineering Research
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• v.50 no.3
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• pp.471-478
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• 2012

A carbon capture and storage (CCS) plays a very important role to reduce $CO_2$ dramatically in $CO_2$ emission sources which are distributed throughout various areas. Numerous research works have been undertaken to analyze the techno-economic feasibility of planning the CCS infrastructure. However, uncertainties such as $CO_2$ emissions, $CO_2$ reduction costs, and carbon taxes may exist in various impact factors of the CCS infrastructure. However, few research works have adopted these uncertainties in designing the CCS infrastructure. In this study, a two-stage stochastic programming model is developed for planning the CCS infrastructure under uncertain operating costs and carbon taxes. It can help determine where and how much $CO_2$ to capture, store or transport for the purpose of minimizing the total annual $CO_2$ reduction cost in handling the uncertainties while meeting the $CO_2$ mitigation target. The capability of the proposed model to provide correct decisions despite changing the operating costs and carbon taxes is tested by applying it to a real case study based on Korea. The results will help to determine planning of a CCS infrastructure under uncertain environments.

• Journal of Preventive Medicine and Public Health
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• v.25 no.1 s.37
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• pp.53-63
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• 1992

There are increasing interest and need for information on health care consumer with the significance of hospital marketing and strategic planning being increasingly emphasized. This study was conducted to investigate the criteria for selection of medical facilities according to the characteristics of health care consumer by the types of medical services on a sample of 1,500 population aged 20 years and above. Major findings are as follows ; 1. When considering the criteria for selection of medical facilities into two factors, namely, quality or convenience factors, convenience factor was the major contributor for outpatient and dental services whereas it was quality factor for inpatient services. 2. Females and those residing in large cities selected medical facilities based on convenience factor in the outpatient services. In the case of inpatient service, persons who considered their present health status to be good and whose ages were 50 years old and above choose medical facilities based on quality factor. 3. Persons who considered medical facilities to be profit-making tended to choose medical facilities based on convenience factor for outpatient services. There were no differences in the cases of inpatient and dental services. 4. There was no significant difference on the criteria for selection of medical facilities according to the decision maker for selection or trust on medical facilities. On the use of health service information, selection of medical facilities was based on quality factor for those who made more use of the information in the cases of outpatient and dental services. 5. Analysis using the logistic regression model on the criteria for the selection of medical facilities with the characteristics of health care consumer as independent variables was performed. The selection of medical facilities was significantly related with residential area, sex, and use of information on medical facilities for outpatient services and with age, average monthly income, and perception of health status for inpatient services. For dental services significant association with residential area and use of information on medical facilities was seen. The results of this study, despite some limitations, can be used as baseline data for marketing and strategic planning of hospital management.

• Korean Journal of Computational Design and Engineering
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• v.15 no.6
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• pp.425-439
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• 2010

The current challenge with which most shipyards are forced is to reduce the design time and the time-to-delivery because of explosive order of shipbuilding. Collaborative design and product data management have become important to reduce the lead time. Furthermore, enterprise information technologies such as ERP (Enterprise Resource Planning), SCM (Supply Chain management), and APS (Advanced Planning System) requires the collaborative environment. Also, manufacturing environment has been considered as a topic of strategic interest to get shorter product lifecycles in shipyards. Most shipyards have chosen an environment of ETO (Engineering To Order) strategy which designs and produces new products in response to various requirements of customer, rules and regulations. In the ATO (Assemble 10 Order) environment, most component parts have been designed to be procured or produced on the order requirement. The basic distinction between the ETO and ATO is the timing of the design. Thus in the ATO environment, it is more flexible in reducing the lead time to meet the specified requirements of customers. However, the ETO strategy requires new ship design process and ship product structures that are linked with the implementation of PLM. And, the function and architecture of current PLM solution has been designed based upon ATO environment properly. This paper presents the PLM architecture which effectively reflects the characteristics of shipbuilding. 4-layer architecture model is suggested to implement the PLM system. Also, implemented functions of ship PLM is explained in order to make a practical guidance for ship PLM implementation.

• Asia pacific journal of information systems
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• v.7 no.3
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• pp.61-87
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• 1997

Recently, strategic information systems planning (SISP) has emerged as one of the necessities in 15 activities and organizational operations as a whole. Although various SISP researches have been done, in few studies have attention been given to the process employed in organizations to plan and implement SISP. To address SISP problems in terms of the process-oriented view, this paper employs a dynamic viewpoint on the basis of innovation-process model As a result of in-depth interviews with IS managers of nine Korean banks, this research found slightly different problems appear in each stage of the process. While problems cited in prior researches were observed, new ones are also appeared such as "finding out relative outsourcers" "political problems between functions which lead the process and others which alienated," the "necessity of steering committees, etc. Meanwhile, problems such as "top management concerns" or "cost," which suggested as significant problems in prior researches, appeared relatively insignificant This study has limitations as a qualitative and exploratory one. However, in view of further studies, the linkage between SISP practices and innovation process theory will allow researches linking characteristics of both fields. Furthermore, researches which view the SISP process as a comprehensive knowledge transfer process will be possible.