• Title/Summary/Keyword: Business Event

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Testing the Information Content of Sustainability Reports for Telecommunications Companies in the Kingdom of Saudi Arabia

  • DIFALLA, Samhi Abdelaty;BELOUADAH, Fateh
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.10
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    • pp.137-145
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    • 2022
  • This study aims to test the information content of sustainability reports issued by the most significant telecommunications companies operating in the Kingdom of Saudi Arabia (Stc, Zain, and Mobily), and their compatibility with the national sustainability standards issued by the Ministry of Commerce in the Kingdom of Saudi Arabia in light of the Kingdom's vision 2030, and its impact on the stock exchange indices of these companies. The event study methodology was used to study the impact of publishing sustainability reports on stock prices and the trading volume of these companies' shares in the Saudi stock market during the period from (October 2020 to March 2021). The results indicate a significant impact of the information contained in the sustainability reports on stock prices and trading volume in the stock market, and the importance of directing the company's management towards more disclosure of information about sustainability in its environmental, social, and economic aspects instead of focusing only on information related to the financial performance and economic activity of the company. This encourages the listed companies to disclose the sustainability of the financial reports and standardize the form in which these disclosures are prepared.

On the Analysis of the Satisfaction of Participant on Regional Culture Festival (향토문화축제 관광자원 활성화: 허균.허난설헌 축제를 중심으로)

  • Kim, Gi-Dong
    • Korean Business Review
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    • v.22 no.1
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    • pp.125-138
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    • 2009
  • The purposes of this study are the analysis by content of satisfaction level of participants in the event for the systematic, efficient event tourism program. For this analysis, it was researched if there was any difference in satisfaction level of participants in event by demographic characteristics, participation level and content of program. The results of this analysis are as follows: There was a difference in satisfaction level by participants characteristics in the event tourism. There was the more recognition, the higher participation level. There was higher participation and satisfaction level in participational and special program than exhibitory program. This study has a limit that can"ft grasp the foreign visitors"f recognition for the event tourism in Gangnueng district. But, it is very important to analyze the voluntary participation and interest of local residents and it may be the fruit of this study to of a new program and suggestion point through the analysis of satisfaction level for the Heo-kyun & Heo_Nan_Sul_Hun Cultural Festival.

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The Impact of Big Data Investment on Firm Value

  • Min, Ji-Hong;Bae, Jung-Ho
    • Journal of Distribution Science
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    • v.13 no.9
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    • pp.5-11
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    • 2015
  • Purpose - The purpose of this research is to provide insights that can be used for deliberate decision making around challenging big data investments by measuring the economic value of such big data implementations. Research design, data, and methodology - We perform empirical research through an event study. To this end, we measure actual abnormal returns of companies that are triggered by their investment announcements in big data, or firm size information, during the three-year research period. The research period targets a timeframe after the introduction of big data at Korean firms listed on the Korea stock markets. Results - Our empirical findings discover that on the event day and the day after, the abnormal returns are significantly positive. In addition, our further examination of firm size impacts on the abnormal returns does not show any evidence of an effect. Conclusions - Our research suggests that an event study can be useful as an alternative means to measure the return on investment (ROI) for big data in order to lessen the difficulties or decision making around big data investments.

ISO9000 Certification Effect: Evidence from China

  • Liu, Yumin
    • International Journal of Quality Innovation
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    • v.9 no.3
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    • pp.15-27
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    • 2008
  • As a sign of international quality system, ISO9000 certification has been adopted by more and more enterprises. In recent five years, there have been 560,000 certified companies in Europe and America, and there have been more than 390,000 ones in China. It has being attracted many quality scholars' attentions whether ISO9000 certification can bring more benefits to certified companies or not. This paper investigates the ISO9000 certification effect on market performance by the samples from Chinese list companies in shanghai stock exchange. Considering ISO9000 certification as an event, a certification effect model will be set up by means of the event study method, which takes abnormal return rate as a basic indicator to measure the ISO9000 certification effect on Chinese market performance in different event times. Investigation results show that the Chinese certified companies have some positive effects on market performance in the short term. From a long standpoint, the relation between certification and performance has a positive trend.

Lessons Learned and Challenges Encountered in Retail Sales Forecast

  • Song, Qiang
    • Industrial Engineering and Management Systems
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    • v.14 no.2
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    • pp.196-209
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    • 2015
  • Retail sales forecast is a special area of forecasting. Its unique characteristics call for unique data models and treatment, and unique forecasting processes. In this paper, we will address lessons learned and challenges encountered in retail sales forecast from a practical and technical perspective. In particular, starting with the data models of retail sales data, we proceed to address issues existing in estimating and processing each component in the data model. We will discuss how to estimate the multi-seasonal cycles in retail sales data, and the limitations of the existing methodologies. In addition, we will talk about the distinction between business events and forecast events, the methodologies used in event detection and event effect estimation, and the difficulties in compound event detection and effect estimation. For each of the issues and challenges, we will present our solution strategy. Some of the solution strategies can be generalized and could be helpful in solving similar forecast problems in different areas.

″Issues in designing a Knowledge-based system to support process modeling″

  • Suh, Eui-Ho;Kim, Suyeon
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.50-54
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    • 2001
  • Information systems development entails planning, analysis, design and construction phases. The analysis phase identifying user requirements is the most important of these phases. Since unidentified defects in the early phase causes increased work and costs as development proceeds, the quality of analysis results affects the quality of the resultant system. Major tasks in the analysis phase are data modeling and process modeling. Research on building a knowledge-based system for data modeling have been conducted much, however, not sufficiently for process modeling. As a system environment with high user interaction increases, research on process modeling methods and knowledge- based systems considering such environment are required. In this research, a process modeling framework for information systems with high user interaction is suggested and a knowledge-based system for supporting the suggested framework is implemented. A proposed model consists of the following tasks: event analysis, process analysis, and event/process interaction analysis. Event analysis identifies business events and their responses. Process analysis break down the processes of an enterprise into progressively increasing details. Decomposition begins at the function level and ends when the elementary process level is reached. Event/process interaction analysis verifies the results of process analysis and event analysis. A knowledge-based system for supporting a proposed process modeling framework is implemented in a web-based environment.

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A design and implementation of a priority and context-aware event ID for U-City integrated urban management platform in U-City (U-City 도시통합관제플랫폼의 상황 이벤트 ID, 우선순위 기능 설계 및 구현)

  • Song, Kyu-Seog;Ryou, Jae-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.6B
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    • pp.901-907
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    • 2010
  • This paper proposes a standard method for linking data between the U-City Integrated Urban Management Platform and u-service systems through systemization of event identification and standardization of event priority. By applying the proposed method, the incoming events to the Management Platform are listed and processed according to their priority of urgency. The application of the systemized event ID and standardized event priority enables prompt counter-measures against urban emergencies and disasters, which improves the efficiency of business processes by reducing the time and cost to complete required actions.

The Impact of COVID-19 on Stock Price: An Application of Event Study Method in Vietnam

  • PHUONG, Lai Cao Mai
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.523-531
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    • 2021
  • Vietnam's Oil and gas industry make a significant contribution to the Gross Domestic Product of Vietnam. The ongoing COVID-19 pandemic has hit every industry hard, but perhaps the one industry which has taken the biggest hit is the global oil and gas industry. The purpose of this article is to examine how the COVID-19 pandemic affects the share price of the Vietnam Oil and Gas industry. The event study method applied to Oil and Gas industry index data around three event days includes: (i) The date Vietnam recognized the first patient to be COVID-19 positive was January 23, 2020; (ii) The second outbreak of COVID-19 infection in the community began on March 6, 2020; (iii) The date (30/3/2020) when Vietnam announced the COVID-19 epidemic in the whole territory. This study found that the share price of the Vietnam Oil and Gas industry responded positively after the event (iii) which is manifested by the cumulative abnormal return of CAR (0; 3] = 3.8% and statistically significant at 5 %. In the study, event (ii) has the most negative and strong impact on Oil and Gas stock prices. Events (i) favor negative effects, events (iii) favor positive effects, but abnormal return change sign quickly from positive to negative after the event date and statistically significant shows the change on investors' psychology.

The Impact of e-Business Announcements on the Market Value of Firms (e-Business가 기업의 시장 가치에 미치는 영향에 대한 분석)

  • Lee, Ho-Geun;Cho, Dong-Hwan;Jun, Ji-Hyun
    • Asia pacific journal of information systems
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    • v.11 no.3
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    • pp.185-208
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    • 2001
  • A growing number of firms are competitively entering into e-business because they see the high potential of e-business growth as an opportunity. The positive expectation of e-business market leads most firms to go into e-business, but it is not clarified what kinds of benefits firms gain through e-business. In this paper, we examine whether firms' economic benefits are related to e-business activities. For this purpose, we employ event study methodology and assess the cumulative abnormal returns for 782 e-business initiatives made by firms listed in Korean capital markets. The well-known "Dot Com Effect" is empirically verified through this study. The results of this study indicate that the e-business potential is highly evaluated in the capital market, and e-business firms are expected to create significant benefits in the future period.

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A Study on Effective Factors of Repeat Customer's Satisfaction and Brand Recognition on Family Restaurant - Based on the survey of college students who have used family restaurants - (패밀리 레스토랑의 서비스 품질이 고객만족과 재방문 의도, 브랜드 인지도에 미치는 영향 - 패밀리 레스토랑을 이용하는 대학생을 중심으로 -)

  • Ko, Sang-Mi;Choi, Gwang-Ung;Oh, Jeong-Seok
    • Proceedings of the Korea Contents Association Conference
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    • 2004.11a
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    • pp.30-35
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    • 2004
  • The objective of this research is to analyse the effect of family restaurant quality on the customer satisfaction level, by surveying college students who have used family restaurants. As these days well developed industrial society, not only service business but also most of business area needs to high quality service. For survey results, this study analyzed by statistical methods such as frequency analysis, factor analysis, and regression analysis.

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