• Journal of Information Technology Applications and Management
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• v.15 no.3
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• pp.195-208
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• 2008

In an emergency management case, evaluating the economic value of information technology investments is a challenging problem due to the effects of decision making, uncertainty of disasters, and difficulty of measurements. Risk assessment and recovery process, one of the major functions in emergency management, consists of (1) measurement of damages or losses, (2) recovery planning, (3) reporting and approving budgets, (4) auctioning off recovery projects to constructors, and (5) construction for the recovery. Specifically and of our interest, measurement of damages or losses is often a costly and time-consuming process because the wide range of field surveys should be performed by a limited pool of trained agents. Managers, therefore, have to balance accuracy of the field survey against the total time to complete the survey. Using information technologies to support field survey and reporting has great potential to reduce errors and lowers the cost of the process. However, existing cost benefit analysis framework may be problematic to evaluate and justify the IT investment because the cost benefit analysis often include the long-run benefit of IT that is difficult to quantify and overlook the impact of managerial control upon the investment outcomes. Therefore, we present an alternative cost-centric control model that conservatively quantifies all cost savings to replace benefits in cost benefit analysis and incorporate the managerial control. The model provides a framework to examine how managerial decision making and uncertainty of disaster affect the economic value of IT investments. The current project in Emergency Agency in South Korea is introduced as a case to apply the cost-centric control model. Our work helps managers to better evaluate and justify IT-related investment alternatives in emergency management.

• Journal of Korean Society of Forest Science
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• v.94 no.6
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• pp.351-361
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• 2005

This study compared the results of Importance-Performance Analysis (IPA) on trail managerial conditions by trail section in Mudeung-Mountain Provincial Park. The study also examined the validity of using overall survey method (OSM: analyzing IPA from the data collected from all the trails without separating trails by section) by comparing the OSM results with those obtained from the survey by section. A total of 258 users who visited the Park was surveyed using questionnaire in the four designated trail sections during the September of 2000. The result of IPA showed that there are differences in twenty three attributes out of the 26 selected attributes (88.5%) among four trail sections. The overall IPA results obtained from the total of four trail sections were not the same with the IPA results from each trail section in twenty three attributes (88.5%) out of the 26 selected attributes. It suggests that we need to use a survey segmented by trail sections rather than a survey for overall trails to obtain better information for more efficient trail management.

• International Commerce and Information Review
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• v.9 no.4
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• pp.395-413
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• 2007

The main purpose of this study is to analyze the relationships between the R&D characteristics and R&D performance for Korean enterprises. We divided R&D performance into technological and business launching performance and analyzed four R&D characteristics' effect on the performance. The empirical analysis results can be summarized as follows: First, R&D characteristics of enterprises show a strong relationship with R&D performance in the case of R&D process control. Second, firm capability and information routine positively affect to technological performance at 0.1 significant level but not showing significance in the case of business launching performance. Third, managerial support negatively affects to technological performance but dose not show statistical significance. Its effect on business launching performance, however, shows positive and significant effect. This result is expected to be highly suggestive for establishing the effective R&D strategies of enterprises and also the relevant overseas marketing plan to support R&D planning.

• Asia-Pacific Journal of Business
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• v.4 no.2
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• pp.11-20
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• 2013

This study extends the extant scope of understanding investment decision, beyond the dominant 'technical' emphasis on the application of discounted cash flow techniques. The research methodology draws the positivist and interpretive research paradigms. It uses a deductive approach, survey strategy and principal component analysis for the analysis. Three key sets of factors emerged as important in the investment decision process in the hydropower sector. They are: group consensus (framing), influences on own judgment (heuristics), and application of knowledge & experience (intuition). The use of purposive and convenient sampling might have some unintended impact on the findings. Consequently, any generalizations of the findings to a wider population of organizations and managers need to be made with care. It is hoped that this paper will encourage other researchers to go beyond the analytic techniques of investment appraisal that have dominated investment decision research and seek to balance the emphasis by focusing on human involvement and behavioral aspects of investment decision.

• Journal of the Korean Society for Railway
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• v.10 no.3 s.40
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• pp.284-289
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• 2007

We analyze the real-field operational results of the RIMS. Four aspects are considered; 1) economical, 2) managerial, 3) safety and reliability and 4) RIMS user evaluation. In economical aspect we investigate the fields where some economical gains are anticipated. In managerial aspect the efficiency and effectiveness of management through RIMS are investigated. The improvement of safety and reliability are qualitatively discussed. And RIMS user evaluation is performed through survey. We also suggest several conditions for the successful settlement of RIMS and future study area for RIMS to be more reliable and perfect.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.41
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• pp.113-122
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• 1997

The purpose of this study is to extract managerial factor into each cell which is classified by the characteristic area of new products. For this purpose, the characteristic area of new products is classified by which is Needs & Seeds Basis. The focus of this study is on examination of failure factors, which have an important effect upon new product failure. The variables for this study were selected from literature survey and pre-interview was implemented specially. The subject of study was project leaders of electronics industry where have taken the leading part in product development activities in Korean manufacturing industries. Enquete survey was conducted in each firm and project managers were asked to respond to 37 questions. Conclusion of this study based on many significant results gained by the various multi-variated analysis are summarized as follows. First, it can be noted that failure factors are different by each classified model and characteristic area of a new product. Second, it has been identified that the important factors for the new product development were technical & managerial support and it's ability, namely, the crucial factors of failure product were lacking in ability of technical development and R&D management system construction.

• Journal of Distribution Science
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• v.14 no.7
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• pp.53-61
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• 2016

Purpose - The production efficiency of agricultural crops has been the subject of numerous studies in the field of agricultural economics. This study examines the production efficiency of emerging vineyards in the 14 northern U.S. states and aims to understand raw input and managerial factors affecting the grape production with focusing on the effect of farm size. Research design, data, and methodology - Using a unique survey dataset that was collected from 176 vineyards in 2012, we employed data envelopment analysis (DEA) for estimation of production efficiency in individual vineyards. Production efficiency is regressed on various input and managerial covariates to understand factors influencing the productivity. Results - Although there exists positive correlation between the farm size and productivity of vineyards in Northern U.S. states, we find negative relationship when the farm size is instrumented by the additional farm size expansion indicator. The negative effect is more pronounced for the recently established vineyards. Conclusions - This study suggests that there needs to be adequate managerial improvements for emerging vineyards in northern states for the achievement of increased productivity.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.91-97
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• 2021

The disclosure of corporate social responsibility (CSR) is an important part of the company. CSR disclosure (CSRD) is interesting to study because CSRD in the annual reports is very important in terms of attaining company objectives to satisfy the interests of stakeholders; protect employee's interests; clarify the extent of contribution of the company in both CSR activities and CSRD; assist appropriate investment decisions. This study examines the structure of share ownership and company size as determinants of CSRD in the banking industry. We use a quantitative approach in this approach, in which researchers start with hypotheses and then collect data that can be used to determine whether empirical evidence to support that hypothesis exists. The sampling technique used is purposive sampling so that the research sample was 14 banking companies that are listed on the Indonesian Capital Market Directory from 2015-2017. Data analysis techniques using multiple linear regression determined the relationship between research variables. The results of the study state that managerial ownership, institutional ownership, foreign ownership, and company size affect CSRD. This demonstrates that the role of managerial ownership, institutional ownership, and foreign ownership have an impact on CSRD and are deemed necessary for the corporate environment. Besides, company size determines the activities of CSRD so that it can increase public confidence in the company's operational activities.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.129-137
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• 2021

This paper aims to analyze whether company characteristics are potential determinants of human resource accounting (HRA) disclosure practices by Vietnamese listed companies. It examines the human resource disclosure level of 204 companies by content analysis of these companies' annual reports. The study has relied on a multiple linear regression to test the association between a number of corporate attributes and the extent of human resource disclosure in companies' annual reports. The extent of human resource disclosure was measured using unweighted human resource disclosure index. The explanatory variables considered in this study were firm size, firm age, profitability, leverage, industry profile, and auditor type. The results revealed that the most influential variable for explaining firms' variation in human resource disclosure is firm size followed by firm age and profitability. Thus, it can be concluded that firm size, firm age and profitability are major predictors that may affect the variety of HRA disclosure practices on firms listed in the Vietnam Stock Exchange. However, neither industry profile nor auditor type seems to explain differences in human resource disclosure practices between Vietnamese listed firms, indicating that company's industry profile and auditor type are not a matter for the company to disclose HRA information.

• Information Systems Review
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• v.26 no.1
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• pp.337-353
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• 2024

The purpose of this study is to investigate the relationship between consumer reviews and managerial responses, aiming to explore the necessity of webcare for efficiently managing consumer reviews. We intend to propose a methodology for effective webcare and to construct a webcare model using machine learning techniques based on an audiobook platform. In this study, we selected four audiobook platforms and conducted data collection and preprocessing for consumer reviews and managerial responses. We utilized techniques such as topic modeling, topic inconsistency analysis, and DBSCAN, along with various machine learning methods for analysis. The experimental results yielded significant findings in clustering managerial responses and predicting responses to consumer reviews, proposing an efficient methodology considering resource constraints and costs. This research provides academic insights by constructing a webcare model through machine learning techniques and practical implications by suggesting an efficient methodology, considering the limited resources and personnel of companies. The proposed webcare model in this study can be utilized as strategic foundational data for consumer engagement and providing useful information, offering both personalized responses and standardized managerial responses.