• Title/Summary/Keyword: market information quality

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Regulatory Prospect of the VoIP Service in Wireless/Mobile Environment

  • Ha, Young-Wook;Cho, Byung-Sun;Yoon, Young-Seog
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.10B
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    • pp.929-935
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    • 2006
  • When the Internet phone service, generally PC-to-Phone, first entered into the telecommunications service market, no regulatory issues were arisen to manage the service within the regulatory framework because of it's low quality, no phone number assignment and etc. However, almost the same quality, more applications and cheaper price compared with the fixed telecommunications service, have changed the regulator's policy allowing Internet phone service within market mechanism. While incumbent fixed telecommunications service enterprises had given with tremendous duties to continue the job categorized 'facilities-based telecommunication service provider', and which can be unreasonable and unfair if Internet phone service enterprises are allowed to enter into the fixed telecommunications market without any regulation. Thus, new regulatory framework has worked for the Internet phone service named the VoIP service generally in the fixed telecommunications market. Recently, VoIP is provided not only in the fixed telecommunications market but also in the mobile market as Wi-Fi phone is feasible in the wireless LAN environment. Furthermore, bundled service of Wi-Fi and cellular phone service will be launched soon, and the next version will be the mobile VoIP service operating like a cellular phone service. Hence, we will meet similar situation when the VoIP sewice enters into the fixed telecommunications service market. And, in this paper, we prospect the regulatory issues arising when the wireless or mobile VoIP service enterprises enter the mobile market, by analyzing possible scenarios.

Utilizing Machine Learning Algorithms for Recruitment Predictions of IT Graduates in the Saudi Labor Market

  • Munirah Alghamlas;Reham Alabduljabbar
    • International Journal of Computer Science & Network Security
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    • v.24 no.3
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    • pp.113-124
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    • 2024
  • One of the goals of the Saudi Arabia 2030 vision is to ensure full employment of its citizens. Recruitment of graduates depends on the quality of skills that they may have gained during their study. Hence, the quality of education and ensuring that graduates have sufficient knowledge about the in-demand skills of the market are necessary. However, IT graduates are usually not aware of whether they are suitable for recruitment or not. This study builds a prediction model that can be deployed on the web, where users can input variables to generate predictions. Furthermore, it provides data-driven recommendations of the in-demand skills in the Saudi IT labor market to overcome the unemployment problem. Data were collected from two online job portals: LinkedIn and Bayt.com. Three machine learning algorithms, namely, Support Vector Machine, k-Nearest Neighbor, and Naïve Bayes were used to build the model. Furthermore, descriptive and data analysis methods were employed herein to evaluate the existing gap. Results showed that there existed a gap between labor market employers' expectations of Saudi workers and the skills that the workers were equipped with from their educational institutions. Planned collaboration between industry and education providers is required to narrow down this gap.

Internal Control and Stock Price Informativeness about Future Earnings (내부통제와 미래이익에 대한 주가 정보성)

  • Wanglan;Hee-woo Park
    • Asia-Pacific Journal of Business
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    • v.14 no.4
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    • pp.255-273
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    • 2023
  • Purpose - This study examines whether internal control has an effect on stock price informativeness about future earnings. High quality internal control provides continuous assurance for the quality of financial reports, and these future earnings-related information is accurately reflected in the current stock price. Design/methodology/approach - This study collected 12,862 data from 2006 to 2021 in China to make an empirical analysis using the future earnings response coefficient (FERC) and the multiple regression analysis were hired in order to analyze the data. Findings - We find that internal control strengthens the association between current returns and future earnings, indicating that more information about future earnings is reflected in current stock prices. This positive effect exists in both the main board market and the growth enterprise market of China's stock market, especially in the main board market after the implementation of the internal control policy. In addition, we find that the positive effect is weaker for firms that report internal control deficiencies or receives non unqualified internal control audit opinions. The results using earnings persistence yield similar findings, further supporting the results based on the FERC model. Research Implications or Originality - Our tests provide strong evidence that the quality of internal control affects FERC in China stock market.

Stock News Dataset Quality Assessment by Evaluating the Data Distribution and the Sentiment Prediction

  • Alasmari, Eman;Hamdy, Mohamed;Alyoubi, Khaled H.;Alotaibi, Fahd Saleh
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.1-8
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    • 2022
  • This work provides a reliable and classified stocks dataset merged with Saudi stock news. This dataset allows researchers to analyze and better understand the realities, impacts, and relationships between stock news and stock fluctuations. The data were collected from the Saudi stock market via the Corporate News (CN) and Historical Data Stocks (HDS) datasets. As their names suggest, CN contains news, and HDS provides information concerning how stock values change over time. Both datasets cover the period from 2011 to 2019, have 30,098 rows, and have 16 variables-four of which they share and 12 of which differ. Therefore, the combined dataset presented here includes 30,098 published news pieces and information about stock fluctuations across nine years. Stock news polarity has been interpreted in various ways by native Arabic speakers associated with the stock domain. Therefore, this polarity was categorized manually based on Arabic semantics. As the Saudi stock market massively contributes to the international economy, this dataset is essential for stock investors and analyzers. The dataset has been prepared for educational and scientific purposes, motivated by the scarcity of data describing the impact of Saudi stock news on stock activities. It will, therefore, be useful across many sectors, including stock market analytics, data mining, statistics, machine learning, and deep learning. The data evaluation is applied by testing the data distribution of the categories and the sentiment prediction-the data distribution over classes and sentiment prediction accuracy. The results show that the data distribution of the polarity over sectors is considered a balanced distribution. The NB model is developed to evaluate the data quality based on sentiment classification, proving the data reliability by achieving 68% accuracy. So, the data evaluation results ensure dataset reliability, readiness, and high quality for any usage.

The Service Operation Strategy of Internet Shopping Mall by User Segmentation Market Typology

  • Jeong, Won-Kil
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.1
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    • pp.11-20
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    • 2004
  • The purpose of this paper was to reveal Service Operation Strategy for the Internet shopping mall based on the types of internet users' market segmentation focus on the internet shopping behavior and e-service quality. In this paper, we examined internet shopping behavior and internet service quality factor depend on the types of internet users' group empirically. The empirical study result identifies the main decision factor depend on the types of internet users' group. On the basis of these result, Service Operation Strategy for the internet shopping mall has been suggested.

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A Study on the Factors of e-Catalog and their Impact on the Customer's Relationship Quality (전자카달로그 특성요인과 고객의 관계품질에 관한 연구)

  • Ko Il-Sang;Kang Ju-Seon
    • The Journal of Information Systems
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    • v.15 no.1
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    • pp.97-119
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    • 2006
  • As the electronic market grows, the vendors establish internet shopping mall with a plenty of electronic catalogs and prepare to respond rapid electronic market growth. Consequently, building attractable electronic catalogs is very important to give a customer satisfaction. Based on prior researches, this study suggest a research model to understand the factors of electronic catalogs and their impact on the customer's relationship quality. As a result, this study confirmed that accuracy, timeliness, interaction, presentation, and information structure of electronic catalog were important factors. Presentation is the most important factors of electronic catalog. Information structure and accuracy also heavily impact on user satisfaction. And their impact on the customer satisfaction and trust were proved to be substantial. These results will contribute to provide implicit guidelines to the developers of internet shopping malls.

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The Role of Accounting Professionals and Stock Price Delay

  • RYU, Haeyoung;CHAE, Soo-Joon
    • The Journal of Industrial Distribution & Business
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    • v.11 no.12
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    • pp.39-45
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    • 2020
  • Purpose: The stock price delay phenomenon refers to a phenomenon in which stock prices do not immediately reflect corporate information and the reflection is delayed. A prior study reported that the stock price delay phenomenon appears strongly when the quality of corporate information is low (Callen, Khan, & Lu, 2013). The purpose of the internal accounting control system is to improve the reliability of accounting information. Specifically, the more professionals such as certified public accountants are placed in the internal accounting control system, the more information is prevented from being distorted, so the occurrence of stock price delay will decrease. Research design, data and methodology: In this study, companies listed on the securities market from 2012 to 2016 were selected as a sample to analyze whether the stock price delay phenomenon is alleviated as accounting experts are assigned to the internal accounting control system. The internal control personnel data were collected in the "Internal Accounting Control System Operation Report" attached to the business report of each company of the Financial Supervisory Service's Electronic Disclosure System(DART). The measurement method of the stock price delay phenomenon was referred to the study of Hou and Moskowitz (2005). The final sample used in the study is 2,641 firm-years. Results: It was found that companies with certified accountants in the internal accounting control system alleviate the stock price delay phenomenon. This result can be interpreted as increasing the speed at which corporate information is reflected in the stock price by improving the reliability of information disclosed in the market by the placement of experts in the system. Conclusions: The results of this study suggest that accounting professionals assigned to the internal accounting control system are playing a positive role in providing high-quality information to the market. In this study, focusing on the fact that the speed at which corporate information is reflected in the stock price is very important for the stakeholders in the capital market, we find that having a certified public accountant in the internal accounting control system alleviates the stock price delay phenomenon.

Exploring the Determinants of Relationship Quality in Retail Banking Services

  • Kwon, Chul Hwan;Jo, Dong Hyuk;Mariano, Hugo Guimaraes
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.8
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    • pp.3457-3472
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    • 2020
  • The rapid change in the financial market has led to a shift to relationship marketing, which emphasizes relationships with existing customers rather than creating new ones. Therefore, to achieve competitive advantage in the market, assessing service quality and relationship quality has become an important tool for financial institutions. The widely applied five dimension model has shown problems of dimensions overlapping and blurring with each other, which results in the lack in providing the marketer with practical administrative implications. Therefore, a three dimensional model, composed of interaction quality, physical environment quality and outcome quality, that could be applied in general to various service industries and, at the same time, categorized into service quality dimensions that are not ambiguous for marketers to manage has been utilized. As a result, in the case of Korean consumers, interaction quality, physical environment quality, and outcome quality were shown to have positive effects on customer satisfaction and customer loyalty. For Brazilian consumers, physical environment quality and outcome quality were shown to have positive effects on customer satisfaction and customer loyalty. Also, a median effect of customer satisfaction was found. This paper reviews the concept and dimensions of service quality and relationship quality, as well as verifying the structural relationship between the two variables through empirical analysis. Through the results of the analysis, the paper compares the differences between two distinctive countries and present theoretical and academic implications.

Sellers' Economic Incentives to Disclose Negative Information in Online Markets

  • HUH, Seung
    • The Journal of Economics, Marketing and Management
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    • v.9 no.2
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    • pp.33-43
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    • 2021
  • Purpose: This study aims to verify sellers' economic incentives for voluntarily disclosing negative information in online markets and provide practical guidelines to online sellers in terms of whether, when, and how sharing low quality to buyers increase sales. Research design, data and methodology: Our model examines the number of bidders in Internet auctions to measure potential demand and uses count data analysis following previous studies that have also analyzed the number of bidders in auctions. After checking over-dispersion and zero-inflation in our data, we have run a Poisson regression to analyze the effect of sharing negative information on sales. Results: This study presents a counterintuitive result that low-quality sellers can increase their demand by fully disclosing negative information in an online market, if appropriate risk-reducing methods are employed. Our finding thus shows that there exists economic incentive for online sellers to voluntarily disclose negative information about their products, and that the context of transactions may affect this incentive structure as the incentive varies across product categories. Conclusions: As the positive impact of disclosing negative information has rarely been studied so far, this paper contributes to the literature by providing a unique empirical analysis on the impact of sellers' honesty on sales. By verifying economic incentives of disclosing low quality with actual online sales data, this study suggests practical implications on information disclosure strategy to many online sellers dealing with negative information.

The Effects on Parcel Service Satisfaction in Logistics Information Technology of Parcel Company (택배기업의 물류정보기술이 택배서비스 만족도에 미치는 영향 - 인터넷쇼핑몰 택배서비스 이용자 중심 -)

  • Kim, Seon-Gu;Choi, Yong-Seok
    • Journal of Korea Port Economic Association
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    • v.27 no.3
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    • pp.91-112
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    • 2011
  • The rapid growth of e-commerce market and changes in distribution channels and consumption patterns have brought about the continuous growth of the domestic parcel service market. To cope with the growth and environmental changes of the parcel service market, parcel companies have made efforts to improve logistics process and construct an information system for customer satisfaction. Since they have focused on a high quality parcel service through a variety of information technology rather than price competition, the importance of logistics information technology has been greatly perceived. Accordingly, this study examined that how information technology and information system quality of parcel companies was perceived by customers and how it influenced parcel service use and satisfaction. To achieve this purpose, this study developed a valid and reliable measurement instrument for logistics information system quality and customer satisfaction based on literature reviews. Then empirical research was made through a questionnaire survey. As a result, six determinants of logistics information system quality were derived: economy, SMS information, tracking web-site information, stability, speed, and accuracy. All factors but economy were found to have positive effects on customer satisfaction in parcel service. Finally, the theoretical and practical implications of the findings were also discussed.