• Title/Summary/Keyword: Financial Firms

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Studying Retailer Strategies through an Integrated E-Business Model: a Multi-Agent Approach

  • Xie Ming;Chen Jian
    • Management Science and Financial Engineering
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    • v.11 no.3
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    • pp.1-17
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    • 2005
  • Agent technology has been widely applied in today's electronic business, such as mobile agents, multi-agent information systems, etc. In particular, multi-agent systems have been applied as powerful simulation tools to study complex business networks composed of various self-interested trading firms and/or human beings. In this paper, we build an integrated model that consists of a multi-agent B2C market model and a B2B trade network model, and incorporate more reality than much of prior work. Then with this model, we carry out experimental studies on two different strategies that are common in electronic business - 'loyal' strategy (retailers try to build stable cooperation with suppiers to ensure material supply) and 'cost-saving' strategy (retailers try to reduce cost by choosing suppliers with lower wholesale price).

e-CRM and Digitization of Word of Mouth

  • Kim, Eun-Jin;Lee, Byung-Tae
    • Management Science and Financial Engineering
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    • v.11 no.3
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    • pp.47-60
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    • 2005
  • Well-known e-CRM strategy is to focus on profitable customers and pay less attention to unprofitable ones. Moreover, some researchers recommend not serving unprofitable ones any more. However, it often neglects customers indirect value. Deselecting unprofitable customers can raise the issue of bad word-of-mouth publicity especially in the age of the Internet. Some studies pointed out that a customers decision to buy a product or service is often strongly influenced by others. In this paper, we consider customers' word-of-mouth effect on quality learning of inexperienced customers. We show that firms implementing e-CRM must take the effect into the consideration when deselecting unprofitable customers.

An Exploratory Study on the New Product Demand Curve Estimation Using Online Auction Data

  • Shim Seon-Young;Lee Byung-Tae
    • Management Science and Financial Engineering
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    • v.11 no.3
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    • pp.125-136
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    • 2005
  • As the importance of time-based competition is increasing, information systems for supporting the immediate decision making is strongly required. Especially high -tech product firms are under extreme pressure of rapid response to the demand side due to relatively short life cycle of the product. Therefore, the objective of our research is proposing a framework of estimating demand curve based on e-auction data, which is extremely easy to access and well reflect the limited demand curve in that channel. Firstly, we identify the advantages of using e-auction data for full demand curve estimation and then verify it using Agent-Eased-Modeling and Tobin's censored regression model.

The Effect of Consumers' Loss Aversion on Pioneering Advantage

  • Won, Eu-Gene J.S.
    • Management Science and Financial Engineering
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    • v.17 no.1
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    • pp.1-18
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    • 2011
  • The present study provides a theoretical investigation on pioneering advantage based on reference dependence and loss aversion effect under prospect theory (Kahneman and Tversky, 1979). Behavioral explanations for pioneering advantage are provided from two different perspectives: one based on the prototypicality and the other on the utility uncertainty of the option. A pioneer brand creates the product category and makes a strong impression in customers' mind, and thus becomes the most representative or prototypical option of the category. In addition, the pioneer brand becomes the first option to be experienced by the majority of consumers in the product category, thus has the lowest level of utility uncertainty compared with the late movers. This study integrates the previous accounts for pioneering advantage by showing that consumers have higher preferences for the most prototypical and the least uncertain option based on loss aversion and reference dependence effect. This study suggests that firms should carefully analyze the consumers' loss aversion and perceived uncertainty and prototypicality of their products in order to develop effective market entry strategies.

An Empirical Study on Effectiveness of Korean Regional Policies for Balanced Development (지역간 균형성장을 위한 지역정책의 효과분석)

  • 박양호;김학훈
    • Journal of the Korean Regional Science Association
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    • v.10 no.1
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    • pp.1-18
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    • 1994
  • The most important objective of the national development policy in Korea is the balanced regional development through the mitigation of concentration to the Capital region and the further development of other regions. Although various national policies have been formulated so far, the consequences of such policies for the balanced regional development have been unsatisfactory. This paper attempted to estimate regional growth factos through regression method. According to the results of this study, the differentiated regional policy for promotion and regulation to the location of firms and colleges and technological development have been operated only partially but not comprehenisively nor systematically. Especially, much of financial assistance has not been differentiated regionally. This study is expected to contribute to the formulation of the rational regional policy in future.

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Investment in Information Technology and Performance of Securities Companies in Korea (증권사의 정보기술투자가 기업성과에 미치는 영향에 관한 연구)

  • Shin, Yong-Jae
    • Management & Information Systems Review
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    • v.25
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    • pp.43-68
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    • 2008
  • From intuitional viewpoint many researchers have been considering that information technology investment serves to increase the productivity and the profitability of firm. But the empirical studies that have examined the relationship between information technology investment and firm performance have reported mixed findings. In spite of that, recently there has been growing recognition of the importance of assessing information technology investment in determining future performance of firms. This study examines the relationship between investment in information technology and performance of securities companies in Korea. I use Tobin's Q, a financial market-based measure of firm performance and investigates the pure effect of information technology investment on firm performance after controlling for a variety of firm specific variables which may affect on firm performance. This study finds that information technology investment have a significantly positive association with Tobin's Q. This result implicates that information technology investment contributes to a firm's future performance potential.

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Do Patents Lead to an Increase in Firm Value? Evidence from Korea

  • LEE, JANGWOOK
    • KDI Journal of Economic Policy
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    • v.42 no.3
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    • pp.33-52
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    • 2020
  • Patents are widely used in the literature as a measure of firm-level innovation. It is regarded that patents improve a firm's operational environment and ultimately increase the value of the firm. However, the relationship between patents and firm value in Korea is under-explored in the literature due to the difficulty of constructing datasets. This paper examines whether patents in Korea increase the market value of a firm. To do this, I exploit novel data on firm-level patents and financial information of all listed Korean companies during the period of 1993-2015 and estimate the non-linear production-function type of Tobin's q equations on R&D, patents, and citations. Surprisingly, I find that patents and citations are weakly associated with firm value, while R&D is strongly associated with an increase in firm value. These results direct imply that policymakers in Korea should enhance patenting incentives to encourage firms to innovate.

Usability Test of Non-Financial Information in Bankruptcy Prediction using Artificial Neural Network -The Case of Small and Medium-Sized Firms- (인공신경망을 이용한 중소기업도산예측에 있어서의 비재무정보의 유용성 검증)

  • 이재식;한재홍
    • Journal of Intelligence and Information Systems
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    • v.1 no.1
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    • pp.123-134
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    • 1995
  • 인공신경망을 이용한 기업도예측에 관한 연구는 일반적으로 대기업을 대상으로 수행되고 있으며, 분석자료로는주로 재무제표에서 얻어지는 재무정보를 사용하고 있다. 이들 대기업의 재무정보들은 비교적양이 풍부하고 신뢰성이 높기 때문에 인공신경망을 이용한 도산예측의 적중률이 80%∼85%의 높은 수준을 보이고 있다. 하지만, 중소기업이 재무정보는 불충분할 뿐만 아니라 신뢰성이 낮을 가능성이 높기 때문에, 중소기업의 도산예측에 있어서 재무정보만을 사용하게 되면 그 정확도가 떨어지게 된다. 본 연구에서는 인공신경망을 이용한 중소기업의 도산예측에 있어서, 재무정보를 보완할 수 있는 비재무정보의 유용성을 검증하였다. 연구결과 본 연구에서 사용한 비재무정보가 획득가능한 비재무정보중 극히 일부에 지나지 않았음에도 불고하고, 재무정보만을 사용하였을 때보다 예측력이 10%정도나 향상되었다.

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A Study on the Corporate Management Strategy of OTT Service: Focusing on Coupang Play

  • Jae Hyun, Cho;Min Jung, Kang
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.1
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    • pp.150-156
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    • 2023
  • In a recent study, the phenomena of attention being drawn to the media business, particularly over-the-top (OTT) services, was the focus. Particularly, after the Squid Game was broadcast in September 2021, the total number of Netflix users had topped 213.6 million since the company first entered the domestic market. Domestic companies have also introduced OTT services like 'Wave', 'Tving', and 'Watcha Play' to capitalize on this market trend. However, questions persist about how Korea's native OTT providers, both large and small, are being harmed by Netflix's strong financial position and massive content quantity. In order to offer realistic performance metrics, we analyze Coupang Play among domestic OTT service providers after reviewing the business model and management strategy of representative OTT service firms.

How are the Firms' Innovative Activities and Credit Rating Signals Received in the Market?

  • Jeongbin Whang
    • Asia Marketing Journal
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    • v.25 no.1
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    • pp.37-44
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    • 2023
  • Firm innovativeness and financing capacity are critical signals to stakeholders as they are key drivers of firm performance and competitiveness and indicate the firm's ability to fund its operations and growth initiatives. Based on signaling theory, this study investigates the signaling effect of a firm's innovativeness and creditworthiness and examines its signaling effectiveness. Using Korean innovation data and Korea Investors Service financial data for nine years, the findings indicate that a firm's technological innovation has a negative impact on its credit ratings, while non-technological innovation has a positive impact. Furthermore, a firm's credit ratings positively impact its performance. The current study contributes to the literature on signaling theory by exploring the signaling effect of a firm's innovativeness and creditworthiness. The findings provide insights for managers on how to send and monitor signals to stakeholders.