• Knowledge Management Research
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• v.16 no.1
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• pp.243-254
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• 2015

To increase their market shares and grow continuously, it is very important for small and medium-sized enterprises (SMEs) to expand their markets. Although various factors may influence an SME's effort to cultivate a new market, this research focused on activities related to the search and utilization of external knowledge. After conducting Tobit analysis based on the dataset of 959 Korean SMEs included in the 2010 Korean Innovation Survey, we found that external knowledge search and utilization activities positively affect the market expansion of SMEs. This result has two implications: (1) SMEs should actively search for appropriate external knowledge sources with which they can expand their markets and reduce their dependence on internal R&D activities; and (2) they should implement an efficient corporate system to effectively absorb and utilize external knowledge inside the firms. Despite these contributions, this research has its shortcoming in that it utilized a cross-sectional dataset, which can be further analyzed by incorporating the dataset from previous and future periods.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.697-710
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• 2021

The purpose of this study is to explore the reaction of sharia stock in the Indonesian capital market to the global Covid-19 pandemic. The method used in this study is an event study with a Market Adjusted Model (MAM) approach. The population of this study is shares listed on the Indonesian Stock Exchange (IDX), with the sample chosen from the Jakarta Sharia (Islamic) Index. The result of this study found that the global Covid-19 pandemic is bad news, with the indicators as follows: a) the average expected return is negative; b) the average actual return is negative; c) the average abnormal return is negative, and d) the increase selling action of stock as a cut loss strategy. There is a negative abnormal return and significant Trading Volume Activity (TVA) before, during, and after the announcement of the global Covid-19 pandemic. However, this study found no difference in abnormal return and TVA before and after the announcement of the global Covid-19 pandemic. From these results, this study indicates that the sharia stocks in the capital market in Indonesia can respond quickly to the information that existed. Therefore, the capital market of Indonesia is a capital market with a semi-strong efficient form.

• Asia-Pacific Journal of Business
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• v.10 no.4
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• pp.1-30
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• 2019

The involuntary delisting of public companies has a detrimental effect on economies caused by the loss of stock value and confidence in the capital market. Previous studies have focused on prediction or prevention models for firm delisting events using various financial and accounting information. However, the timely disclosure of companies, another important indicator, has not been investigated before in connection with companies that have been delisted. To address this gap, this study investigates the timely disclosure behavior of companies prior to delisting using sample firms listed on the Korean stock market between 2000 and 2014. The results show a significant correlation between the frequency of timely disclosure and delisted firms prior to their delisting on the Korean stock market. The delisted companies appear to increase their timely disclosure to deliver specific information to the public. Furthermore, these companies are likely to increase the frequency of timely disclosure as they get closer to their delisting. Notably, the timely disclosure of delisted firms has a capital market effect; namely, timely disclosure increases trading volume while decreasing the market value of the shares, reflecting price efficiency. This study appears to be the first that considers timely disclosure in the involuntary delisting literature.

• International Area Studies Review
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• v.13 no.3
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• pp.287-308
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• 2009

This article examines the distributional characteristics of the return of Chinese stock market indices. The majority of previous empirical researches have tended to focus upon the simple stock market index. However, this study focuses on the four indices which represent the characteristics of each stock market index. The empirical findings indicate that the returns of the four chinese indices are not normally distributed at conventional levels. The Ljimg-Box -statistics indicate the returns of the index of A shares are not serially autocorrelated. However, the returns of the index of B shares are serially autocorrelated. The empirical findings also indicate returns of the four chinese indices are not serially autocorrelated. The statistics of Regression Specification Error Test and ARCH indicate the returns of all four indices are not serially linear. The findings also indicate that E- GARCH model is the most fittest model for the returns of the four chinese indices and the forecast error can be reduced by using student t distribution rather normal distribution.

• International Commerce and Information Review
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• v.5 no.2
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• pp.3-17
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• 2003

This paper examined a e-Business utility of on-line shopping mall firms. Based on the literature review and cases study, the following results were found. First, in e-business policy, it was found that partnership between government and market are very important to e-business utility. Second, e-CRM of on-line shopping mall firms should be considered web site design based on commodity, cafe based on experience and information shares, and transaction confirm service. Third, B2C e-commerce model should be contained firm-specific force, customer oriented force, social force, and technology force.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.74-77
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• 2000

Since the opening of the mobile telecommunications market to new entrants in 1996, the mobile telecommunications industry in Korea has transformed into a severely competitive market. Although there are numerous methods to evaluate the effects of the competition policy, the most relevant would be to measure the decreased degree of mobile service tariff. Also, after the Introduction of competition in the market, most carriers launched a variety of new tariff plans, which would satisfy the users′ traffic volume and pattern. Therefore, it is necessary to develop a "mobile tariff index" that would collectively consider all the various tariff plans. This paper aims to develop a mobile tariff Index that would accommodate all the various tariff plans provided by mobile carriers. To develop this mobile tariff index, mobile user′s will first be classified by their traffic volume, and then calculate the average tariffs per minute of each group of users, and lastly weight-average those tariffs per minute. And finally, this paper shows the mobile tariff index by considering those averaged tariffs and the carriers′ market shares to reflect the contribution of individual carriers and the users′ traffic volume.

• Journal of Advanced Marine Engineering and Technology
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• v.38 no.10
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• pp.1354-1359
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• 2014

A survey is carried out for the future energy sources to be used for ship's propulsion and ship's machinery and operations. 44 global experts from Korea, America, Norway, Denmark, Japan and German who are currently working in the shipyard and offshore fields participated at the survey. Quantitative predications on the market shares of various energy sources, such as oil, LNG, fuel cell, wind energy, solar energy and nuclear energy are made. MPI (market prediction index) is considered as a quantitative index for easy comparison between future's energy sources used for ship's propulsion and operations. It is expected that the MPI of LNG becomes twofold in 2020 against 'before 2016'. It could be also said that hydrogen based fuel cell is expected to increase rapidly for the coming years unless a new alternative energy appears.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.8
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• pp.1075-1085
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• 1999

Brand equity is the added value endowed by the brand to the product. This concept born in the 1980's has aroused intense interest among market managers and business strategists from a wide variety of industries. Brand equity can be approached in different perspectives according to the motivations and the objectives of the studies. Consumer-based brand equity is examined internally by consumers' cognition and feeling and externally by consume behavior in the market By analyzing the relationship between them we can understand how brand value is made in the mind of consumers and how it is converted into the consumer behavior,. The brand is an especially important extrinsic cue in clothing products and the apparel industry has higher brand equity when it is actually compared with the brand equity of many other industries measured as a financial asset. Therefore the purpose of this study was to find out brand value of clothing products through clothing brand equity and to understand consumer behavior of the brand. And so we focused in consumer-based brand equity. For the empirical study three brands that are predicted to have different level of brand equity were selected based on prices and market shares of the brands. As the result the consumer-based brand equity is composed of emotional and cognitive dimensions and each dimension has several sub-dimensions. These diverse dimensions of brand equity bring about differences in consumers' purchase behavior market share and price premium of brands.

• Industrial Engineering and Management Systems
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• v.15 no.4
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• pp.324-334
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• 2016

Manufacturers and retailers are interested in how prices, promotions, discounts and other marketing variables can influence the sales and shares of the products that they produce or sell. Therefore, many models have been developed to predict the brand share. Since the customer choice models are usually used to predict the market share, here we use hybrid model of Probabilistic Neural Network and Artificial Bee colony Algorithm (PNN-ABC) that we have introduced to model consumer choice to predict brand share. The evaluation process is carried out using the same data set that we have used for modeling individual consumer choices in a retail coffee market. Then, to show good performance of this model we compare it with Artificial Neural Network with one hidden layer, Artificial Neural Network with two hidden layer, Artificial Neural Network trained with genetic algorithms (ANN-GA), and Probabilistic Neural Network. The evaluated results show that the offered model is outperforms better than other previous models, so it can be use as an effective tool for modeling consumer choice and predicting market share.

• International Journal of Contents
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• v.17 no.2
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• pp.1-8
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• 2021

Online streaming wars are intensifying. Netflix is known as the market leader in the streaming business. However, since 2019, Netflix has been losing subscribers in the United States and is at a turning point where it needs to reassess its current position in the market. While Netflix is losing dominance, rivals Amazon Prime and Hulu continue to gain market shares. Studies from Deloitte and PricewaterhouseCoopers indicated a new shift in the streaming landscape caused by the abundance of streaming options and rising subscription costs. Recent surveys showed that consumers are excited about new streaming services, such as Disney +. Nearly two-thirds of consumers intend to terminate or downgrade one or more of their current subscriptions to make room for a new service. Moreover, it seems that consumers want ad-supported options. In Deloitte's latest Digital Media Trends survey, 65% responded that they would watch ads to eliminate or reduce subscription costs. Seventy percent of Hulu's subscribers choose its lower-priced ad-supported plan. NBC recently launched its own streaming service, Peacock, with a free ad-supported option. This opposes Netflix's brand identity of "no ads" and premium differentiation. With increasing pressure from competition and the growing risk of subscriber loss, Netflix needs to diversify its price plans. The company could try implementing the lower-priced mobile-only plan they are currently testing or plan to test in other regions. Netflix should also consider features or benefits for loyal subscribers to maintain a stronger consumer base.