• International Journal of Contents
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• v.6 no.4
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• pp.69-78
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• 2010

In recent years, many leading corporations are actively adopting IT as competitive resources to improve productivity and processes efficiency with strategic alignments. In effect, IT investment also continues to increase. As a vast growth of IT investment, questions and criticism on recent IT investment results are also rapidly being raised. Especially, improper decision making and management on IT investment may cause negative impact on the company's reputation and finances, therefore companies need reasonable and wise investment decision making on new IT projects. This study applies the conceptual framework of IT governance to IT investment decision making cases to examine how IT investment governance influences the quality of IT investment decision making and how business-IT strategic alignment affects the quality of IT investment decision making. This paper contributes to identify the main factors for reasonable and effective IT investment decision making and expected to provide proper guidelines for IT investment decision making.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.845-853
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• 2021

The stock market shows the current health of an economy, and investment performance represents it. This study aims to clarify the relationship between financial behavior and investment decisions as well as its impact on investment results. Determine the influence of behavioral factors on individual investors' investment decisions and investment performance on the Vietnam stock market. The study surveyed 250 investors. The main analytical methods used are Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). Research results show that Heuristic, Prospect, Market, and Herding directly and positively affect investment decision-making. Besides, the above factors have a direct and positive effect on investment performance. In particular, the Prospect factor has the strongest influence on investment decision-making and investment performance. The major findings of this study suggested that the important role of Heuristic, Prospect, Market, and Herding on Investment Decision-making and Investment Performance. Prospect had the strongest impact on Investment decision-making (β = 0.275). Heuristic had the second strongest impact (β = 0.257), then Herding (β = 0.202), and finally Market (β = 0.189) had the weakest effect. Regarding Investment Performance, the Prospect factor has a higher degree of impact than Heuristic Herding and Market.

• Korea Journal of Hospital Management
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• v.5 no.1
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• pp.156-175
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• 2000

This study was designed to find out the relations between the major investment decision-making behaviors and profitability of the hospital. A total of 57 hospitals were analyzed on this study. The major findings were as follows; 1. Among the types of the investment decision-making, major factors affecting the profitability were where the top management belongs among the defender, analyzer, prospector, and reactor type. Other factors were whether or not hospital analyzes which is more economical between the purchase by cash and lease of the medical equipment and whether or not hospital changes the decision before the actual investment. 2, Among the types of the investment decision-making, major factors affecting the financial structure and efficient operation of the assets were ranking of the priority and whether or not hospitals can get enough revenue and cash flow when hospitals have to borrow a big amount of fund from outside. 3. Among the financial indices regarding the financial stability, major factor affecting the profitability was fixed assets to long-tenn capital. Other factors affecting the financial structure and efficient operation of the assets were value added to medical equipment, normal profit to medical equipment, liability to total assets, current ratio, value added to payroll expenses. 4. Investment decision-making behaviors are partially influencing on the financial structure and efficient operation of the assets. However it was proved that the profitability was the most influencial factor than other factors related with the operation of the hospital. 5. To improve the irrational investment decision-making behaviors strategic management system should be introduced, and the top mamagement's investment decision-making style should be changed from reactor and analyser styles to prospector and reactor ones.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.175-183
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• 2012

The purpose of this study is to investigate the relationships between institutional pressures and IT investment decision making of management. To analyze the proposed model, we distribute survey questionnaires to mid-size IT firms and collect data from them. Furthermore, the proposed model was tested by PLS(Partial Least Squares) technique. We found that coercive pressure and normative pressure have an effect on mimetic pressure. However, these two pressures do not influence the IT investment decision making. The mimetic pressure has an effect on the IT investment decision making. The conclusions and implications are discussed.

• Journal of Information Technology Services
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• v.12 no.3
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• pp.289-309
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• 2013

Korea has been ranked at the top consecutively in UN e-Government Survey. This fact reflects consistent efforts by public institutes in Korea. However, there were some duplicate efforts and inefficiency in the investment into IS(information systems). In other words, management and decision making on e-government have yet to improved. Accordingly, governmental institutes have long been promoting policies for EA in order to carry out and manage effectively IT projects including the e-Government projects. EA is being regarded as a means to facilitate IT Governance for systematic management of IT projects, A major objective is to firmly establish the decision making process for IS investment through EA, since the each institute is a large organization with so complicated and specialized demand for IS. As a result, systematic decision making is becoming quite difficult. Thus, this study attempts to identify different types of IT investment decision making and to figure out the relationship between the decision types and the organizational performance of public institutes where EA was implemented.

• Journal of Information Technology Services
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• v.14 no.3
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• pp.217-236
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• 2015

How does social interaction among investors affect decision-making in the online social lending platform? And what is the reason? In this study, in order to obtain the answer, we carried out case study research of Moneyauction and Popfunding, which are domestic online social lending platforms. We conducted interviews with managements of both social lending platforms and investors and analyzed statistical data including investment records, social interaction history between investors and lenders from both platforms. In addition, researchers performed direct participation and observation through the platforms as real investment members. As a result, we revealed that social interaction among investors has a material impact on the investment decision-making. Also we found that investors build trust by socially interacting with each other and this trust building leads to the investment decision making. Our findings confirm that social lending investors's decision-making process comply with the social embeddedness theory and imply that loan applicants must do their best efforts to display sincerity and truthfulness through their posting.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.163-186
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• 2005

When firms are confronted with IT investment decision-makings, technical or financial factors are widely considered. However, based on sociotechnical systems theory, it is argued that in addition to the traditional factors, social issues must be considered in the IT investment decision-makings. Even though the strategic criteria of social issues within organization are important for IT investment decision-makings, the social or organizational issues are hardly considered in IT implementation and adoption(Ryan and Harrison, 2000). The objective of this study is to empirically verify how the comprehensive consideration of both of technical and organizational issues related with IT investment affects firm performance through its impact on IT technical capability and IT personnel skills. Senior managers of 153 Korean firms were surveyed, and the collected data were analyzed with PLS technique. The results of the PLS path analysis show that the comprehensive consideration of the technical and social issues affected indirectly firm performance through IT technical capability and IT personnel skills. It is found that the comprehensive consideration had a significant impact on IT technical capability and IT personnel skills, and that IT technical capability and IT personnel skills affected firm performance. IT personnel was also found to affect IT technical capability. Finally, this study found that the consideration of social factors had greater impacts on firm performance than that of technical factors.

• The Journal of Industrial Distribution & Business
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• v.13 no.1
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• pp.11-21
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• 2022

Purpose: This study predicted cost asymmetry as a determinant of investment efficiency, and empirically analyzed the relationship between cost stickiness and investment efficiency. Research design, data and methodology: Using a sample of 4,382 Korean firm-year observations over 2011-2017 period, I examined the relationship between cost stickiness and investment efficiency. Asymmetrical cost behavior is measured as model of Homburg and Nasev (2008) and model of Park, Koo, and Pae (2012). Investment efficiency is measured as Chen, Hope, Li, and Wang (2011)'s model. Results: Firms with cost stickiness are less efficient in their investment than firms with non-cost stickiness. In other words, cost stickiness is an empirical result that supports the previous research on cost decision-making from perspective of managers pursuing private benefits due to information asymmetry. Conclusions: By showing that the manager's decision-making on the cost behavior affects the investment efficiency corresponding to capital management, the implications for the mechanism for efficient capital management are provided. Through the empirical results, it was shown that the cost stickiness is a product of opportunistic cost decision-making due to information asymmetry, and it is to present evidence that expands the meaning of the causes of asymmetric cost behavior.

• Management Science and Financial Engineering
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• v.16 no.2
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• pp.99-114
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• 2010

The influencing factors of large-scale IT investment decisions are rarely investigated in an empirical perspective. We find out different behaviors in IT investment decisions according to the size of organization. Large scale IT-investment decisions (e.g. system downsizing) can be the outcome of decision-makers' motivation to adopt and control new IT systems- However, this phenomenon is salient in the large-sized organization rather than small-sized ones. Based on our investigation, we predict general IT decision-making behaviors in organizations when making IT investment decisions.

• Korean Management Science Review
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• v.9 no.1
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• pp.53-65
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• 1992

Decision Support System(DSS) is an advanced information system concept prevailing since 1980s. It supports managers' decision making activities by providing not only information but decision alternatives. It essentially consists of the components of database, modelbase and dialogue systems. With the development of its databases, POSCO needs a number of modelbases in establishing DSSs in various areas such as production planning and investment. This research particularly focuses on establishment of a mid-and long-range investment DSS and investigates the necessity and the problems of an investment DSS and the decision criteria for investment priority. We (1) propose a modelbase which uses the concepts of Analytic Hierarchy Process(AHP) and Zero-Base Budgeting(ZBB), along with an appropriate scoring method, database and dialogue system to support the investment manager in evaluating investment proposals ; (2) implement the system using relational database management system ; and (3) discuss the results of implementing the investment DSS.