• Title/Summary/Keyword: Business index

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A Study on Business Relative Ranking Valuation of Technology using Business Composite Index (사업성 종합지수를 이용한 기술의 사업성 상대등급 평가에 관한 연구)

  • Sung, OongHyun
    • Knowledge Management Research
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    • v.6 no.2
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    • pp.105-118
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    • 2005
  • The future will see all industries become technology-driven in the competitive global market place. Firms with deep technological roots and innovation strategies have some advantages. Business valuation of technology is critical to the future of firm's business. In this situation widely used scoring valuation is not enough to evaluate relative business competitiveness associated with technology and to assign its relative ranking category. Therefore, a more useful and comprehensive new valuation approach, which is called business composite index, is needed to complement and to enhance the existing scoring valuation approach. In this research, statistical factor analysis is applied to determine the common factors and to estimate associated weights. And business composite index, which is a kind of weighted scoring method, is derived based on the results of factor analysis. This research shows that business composite index is considered very useful to measure the business relative strength of individual technology and also to assign its relative ranking category instead of absolute ranking based on scoring valuation approach.

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A Study on Developing the Business Index of Electrical Construction Business (전기공사업 경기지수 개발에 관한 연구 - 전기공사업 경기종합지수(ECI) 및 기업경기실사지수(EBSI)를 중심으로 -)

  • Park, Houng-Hee;Kim, Mi-Ri
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.4
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    • pp.107-118
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    • 2014
  • Electrical Construction industry uses Construction industry's statistical data for business outlook. Because there are not electrical construction business view's statistical data. It has own unique characteristic which is different from construction industry. So it must have a electrical construction Business Index. This study was focused on developing the business index of electrical construction business. Electrical construction business index consists of electrical construction composite Index(ECI) and the electrical construction business survey index(EBSI). This study experimentally analyzes the business views of electrical construction industry in 2/4 quarter of 2014. The leading Index of ECI indicates -0.4% compared with 1/4 quarter of 2014, coincidence index also shows that electrical construction industry's business cycle is in an economic downturn. EBSI is 83.5 in 2/4 quarter of 2014, down from 95.2 in 1/4 quarter of 2014. It means that electrical construction company has a pessimistic prediction. As a result we know that the Business Index of Electrical Construction Business shows similar results. It is expected to make contribution for electrical contractors to establish management strategies and prepare responses to economic changes by providing information about economic trends of electrical construction business and forecasting future economy.

A Study on AI-based Composite Supplementary Index for Complementing the Composite Index of Business Indicators (경기종합지수 보완을 위한 AI기반의 합성보조지수 연구)

  • JUNG, NAK HYUN;Taeyeon Oh;Kim, Kang Hee
    • Journal of Korean Society for Quality Management
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    • v.51 no.3
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    • pp.363-379
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    • 2023
  • Purpose: The main objective of this research is to construct an AI-based Composite Supplementary Index (ACSI) model to achieve accurate predictions of the Composite Index of Business Indicators. By incorporating various economic indicators as independent variables, the ACSI model enables the prediction and analysis of both the leading index (CLI) and coincident index (CCI). Methods: This study proposes an AI-based Composite Supplementary Index (ACSI) model that leverages diverse economic indicators as independent variables to forecast leading and coincident economic indicators. To evaluate the model's performance, advanced machine learning techniques including MLP, RNN, LSTM, and GRU were employed. Furthermore, the study explores the potential of employing deep learning models to train the weights associated with the independent variables that constitute the composite supplementary index. Results: The experimental results demonstrate the superior accuracy of the proposed composite supple- mentary index model in predicting leading and coincident economic indicators. Consequently, this model proves to be highly effective in forecasting economic cycles. Conclusion: In conclusion, the developed AI-based Composite Supplementary Index (ACSI) model successfully predicts the Composite Index of Business Indicators. Apart from its utility in management, economics, and investment domains, this model serves as a valuable indicator supporting policy-making and decision-making processes related to the economy.

A Study on Small Business Forecasting Models and Indexes (중소기업 경기예측 모형 및 지수에 관한 연구)

  • Yoon, YeoChang;Lee, Sung Duck;Sung, JaeHyun
    • The Korean Journal of Applied Statistics
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    • v.28 no.1
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    • pp.103-114
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    • 2015
  • The role of small and medium enterprises as an economic growth factor has been accentuated; consequently, the need to develop a business forecast model and indexes that accurately examine business situation of small and medium enterprises has increased. Most current business model and indexes concerning small and medium enterprises, released by public and private institutions, are based on Business Survey Index (BSI) and depend on subjective (business model and) indexes; therefore, the business model and indexes lack a capacity to grasp an accurate business situation of these enterprises. The business forecast model and indexes suggested in the study have been newly developed with Principal Component Analysis(PCA) and weight method to accurately measure a business situation based on reference dates addressed by the National Statistical Office(NSO). Empirical studies will be presented to prove that the newly proposed business model and indexes have their basis in statistical theory and their trend that resembles the existing Composite Index.

Capital Market Volatility MGARCH Analysis: Evidence from Southeast Asia

  • RUSMITA, Sylva Alif;RANI, Lina Nugraha;SWASTIKA, Putri;ZULAIKHA, Siti
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.117-126
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    • 2020
  • This paper is aimed to explore the co-movement capital market in Southeast Asia and analysis the correlation of conventional and Islamic Index in the regional and global equity. This research become necessary to represent the risk on the capital market and measure market performance, as investor considers the volatility before investing. The time series daily data use from April 2012 to April 2020 both conventional and Islamic stock index in Malaysia and Indonesia. This paper examines the dynamics of conditional volatilities and correlations between those markets by using Multivariate Generalized Autoregressive Conditional Heteroscedasticity (MGARCH). Our result shows that conventional or composite index in Malaysia less volatile than Islamic, but on the other hand, both drive correlation movement. The other output captures that Islamic Index in Indonesian capital market more gradual volatilities than the Composite Index that tends to be low in risk so that investors intend to keep the shares. Generally, the result shows a correlation in each country for conventional and the Islamic index. However, Internationally Indonesia and Malaysia composite and Islamic is low correlated. Regionally Indonesia's indices movement looks to be more correlated and it's similar to Malaysian Capital Market counterparts. In the global market distress condition, the diversification portfolio between Indonesia and Malaysia does not give many benefits.

Service Quality and Consumer Satisfaction: An Empirical Study in Indonesia

  • LUKMAN, Lukman;SUJIANTO, Agus Eko;WALUYO, Agus;YAHYA, Muchlis
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.971-977
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    • 2021
  • The purpose of this research paper is: (1) to describe the service quality index; (2) describe the data quality index; and (3) describe the anti-corruption index of BPS Trenggalek, Indonesia. The approach chosen is quantitative with the type of survey research. The primary data collection technique was mainly based on a questionnaire distributed to 40 respondents, namely BPS service users in 5 (five) categories: the private sector, the banking industry, academics, offices, or agencies in Trenggalek Regency and universities. The results showed that the quality of BPS services was good and the data quality index where the respondents were satisfied with the data presented by BPS. Meanwhile, testing the anti-corruption index shows that BPS Trenggalek is very anti-corruption in providing services to consumers. The findings of this study suggested that to improve service quality, it is necessary to pay attention to several aspects, including published service requirements, easy requirements to be fulfilled, published procedure information, clear service process flow, published service times, and costs/tariffs are communicated. This study suggests updating data, data relevance, data accessibility, and data completeness to improve data quality. Furthermore, to maintain the very anti-corruption predicate, this study suggests maintaining service by upholding the prevailing ethics and norms.

A study on the selection of technology development supporting business by AHP method in a BSC viewpoint : Focused on Daejeon TP (BSC관점에서 AHP기법을 이용한 기술개발지원사업 선정에 관한 연구 : 대전테크노파크를 중심으로)

  • Gu, Jeong-Hee;Choi, Jong-In
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.8
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    • pp.3371-3380
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    • 2012
  • This paper finds the selecting evaluation index of technical development supporting business, applied to determine its validity. Measuring the new evaluation index for selection against the existing select evaluation index, it shows which index has accurately estimated the ranking of the companies with good performance. Using the BSC and AHP method, this study developed the select evaluation index of technology development supporting business.

Global IT Industry Competitiveness and e-Readiness of Korean Economy (한국의 글로벌 IT산업 경쟁력과 이비즈니스 준비도)

  • Park, Kyung-Hye
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2008.10b
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    • pp.48-53
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    • 2008
  • The information technology, in the digital economy era, does a very important role not only for the country's administrative management innovation but also for the business and for the everyday life. Specifically, the e-business for the company or organization is defined as "using the Internet and IT, rescheduling of business process management activities to increase productivity and efficiency and to create new business opportunities." Thanks to the Korea's recent efforts, overall level of informatization and digitalization is able to receive high praise. But the e-business readiness (e-readiness) level is still expected a lot of room for improvement. In this paper, I try to analyze the informatization level of Korea's by the EIU's e-business readiness index and IT industry competitiveness index, to prepare a full-scale e-business era of global competitiveness through any preparation that could do to improve the situation from the analysis of statistical data.

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A Study on Trade Business Index Development (무역경기지수(TBI) 개발에 관한 연구)

  • Park, Joung-Moon;Oh, Hyun-Jin;Hong, Seung-Lin
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.50
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    • pp.309-331
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    • 2011
  • Today, the world is considered to indispensable basic data in specific gravity of international trade is increasing in economic activity of every country with globalization, and trade connection index number analyzes an economy or part of trade that contribute to economic growth of a country along with other foreign trade statistics and evaluates along with this. Also, it is becoming one of big subject for economic policy person in charge and related economists I do how measure movement of amount, price and amount of materials in trade. But, about till now interest lack about trade index and trade index creation theoretical, it is actuality that export, import connection index number or similar research is not attained much into domestic and overseas from study tribe which is gone ahead. Moreover, study that try to judge and forecast stream of market applying trade connection index number is hard to find on study until now. And, in this research, there is the objective to figure out stream of Korean market change through trade business index creation that base on Korea Customs Administration export and the importation data and this is differences with several study, and at the same time, it is value of this study.

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