• Title/Summary/Keyword: Business Classification

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A Review of Artificial Intelligence Models in Business Classification

  • Han, In-goo;Kwon, Young-sig;Jo, Hong-kyu
    • Journal of Intelligence and Information Systems
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    • v.1 no.1
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    • pp.23-41
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    • 1995
  • Business researchers have traditionally used statistical techniques for classification. In late 1980's, inductive learning started to be used for business classification. Recently, neural network began to be a, pp.ied for business classification. This study reviews the business classification studies, identifies a neural network a, pp.oach as the most powerful classification tool, and discusses the problems and issues in neural network a, pp.ications.

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Product Classifications Revisited with Transparency Effect: A Forgotten Link Between Consumer Research and Marketing Strategy

  • Suh, Jaebeom;Deeter-Schmelz, Dawn;Suh, Taehyun;Jin, Hyun Seung
    • Asia Marketing Journal
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    • v.20 no.1
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    • pp.49-68
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    • 2018
  • It is appropriate and useful to interpret some product classification schemes as buyer behavior models; such classifications permit investigations of discrepancies between classification predictions and actual buyer behavior. We review existing product classifications and identify underlying behavioral assumptions of various classification schemes that have been used in the marketing discipline for more than nine decades. Recognizing the irrelevance of existing product classifications for current products, we propose a new reclassification framework by incorporating transparency concepts. Based on this extended product classification, we highlight the potential roles of product classification study as an important link between consumer research and marketing strategy, emphasizing behavioral implications.

An Essay for Reconstruction on the Classification System of Government-General of Chosun (조선총독부 공문서 분류체계의 복원)

  • Bae, Sung-joon
    • The Korean Journal of Archival Studies
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    • no.9
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    • pp.41-73
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    • 2004
  • This article provides the base in relation to the classification system of public records of Japan and Tiwan which the original order of the classification system of public records of Government-General of Chosun is reconstructed and the efficient classification system is prepared. The classification system of public records at the period of Meiji(明治) in Japan was classified two forms, one is function-based classification, the other is organization-based classification. Each ministry(省) was fundamentally based In function-based classification and organization-based classification, adopted them in changed forms as its condition and situation had been changed. Government-General of Tiwan adopted Japan's archival management system and put its classification system and life schedule In operation. The classification system of Government-General of Tiwan adopted function-based classification of the ministry of foreign affairs in Japan, changed its forms as the organization and business activity were transformed. As a result of arrangement and analysis of examples for the classification of public records of Government-General of Chosun from 1910' to the middle area of 1930', the classification of public records of Government-General of Chosun was constructed on level order; 'organization of ministry(部) or department(局)--business activity of ministry or department--low function of business activity of ministry or department'. But this classification system had two sides, flexible and unstable in that the classification system had exeptional parts and the breadth of items was changed greatly. The classification system of Government-General of Chosun, which had adopted organization-based classification of the ministry of home affairs in Japan, result in expanding the breadth of items and causing great change of items for the organization and business activity were vast and its change was very great.

Component classification modeling for component circulation market activation (컴포넌트 유통시장 활성화를 위한 분류체계 모델링)

  • 이서정;조은숙
    • The Journal of Society for e-Business Studies
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    • v.7 no.3
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    • pp.49-60
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    • 2002
  • Many researchers have studied component technologies with concept, methodology and implementation for partial business domain, however there are rarely researches for component classification to manage these systematically. In this paper, we suggest a component classification model, which can make component reusability higher and can derive higher productivity of software development. We take four focuses generalization, abstraction, technology and size. The generalization means which category a component belongs to. The abstraction means how specific a component encapsulates its inside. The technology means which platform for hardware environment a component can be plugged in. The size means the physical component volume.

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An Analysis of the Application Framework of the Business Reference Model to Records Classification Schemes in Korean Central Government Agencies (기록분류를 위한 정부기능분류체계의 적용 구조 및 운용 분석 - 중앙행정기관을 중심으로 -)

  • Seol, Moon-Won
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.4
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    • pp.23-51
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    • 2013
  • The purpose of the study is to examine the potentialities and limits of Business Reference Model (BRM) as records classification schemes in Korean central state institutions. The analysis is based on the data collected through focus group interviews of three times, in which six records professionals from central government agencies participate. This paper begins with inquiring the framework of records classification based BRM, required by Public Records Management Act. It explores the types of benefit of BRM application to government records classification. Based on the collected data from the interviews, it investigates how records are aggregated, and how transaction level (Danwi-Gwaje) of BRM is applied in the course of records aggregation.

A Classification of Web Business Models (웹 비즈니스 모델의 분류에 관한 연구)

  • Jeong, Hai-Sung;Lee, Yang-Kyu
    • Journal of Applied Reliability
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    • v.10 no.3
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    • pp.183-197
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    • 2010
  • Web businesses are one of the most dynamic industries where lots of new business models are emerging while the other obsoleted ones are fading away almost every day. It is, therefore, difficult to establish a classification scheme for ever-changing web businesses. Previous researches on business models focus on classifying web businesses in one dimension which made some web sites difficult to fit into one category. We propose two dimensional classification scheme based on the means and the sources of revenue. The two dimensional classification provides more clear and broad perspectives of the web businesses and ways to identify web sites in combinations of several business models.

A Study on Business Processes and Corresponding Classifications of Digital Contents Industries (디지털 컨텐츠 산업의 업무프로세스 및 분류체계에 관한 연구)

  • 임춘성;최봉균;윤용기
    • The Journal of Society for e-Business Studies
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    • v.7 no.3
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    • pp.105-120
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    • 2002
  • The importance of contents industry is growing up in various industries because of internet and digital economy. Recently, contents industry is challenging to new businesses such as total service industry with digital contents. It is important to classify digital contents to use it in contents industries and information and telecommunication service industries. Previous contents classification frameworks is based on contents quality, business model and application methods. They didn't consider business processes, interfaces of business unit and interactions in contents industries. In this paper, we present core business processes in digital contents industries, a corresponding digital contents classification, and analysis method of digital contents industry.

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Implementation of an User-guided Classification Tailoring System (사용자 요구에 기반한 맞춤형 분류체계 생성기법 구현)

  • Jang, Du-Seok;Chun, Jong-Hoon
    • The Journal of Society for e-Business Studies
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    • v.12 no.3
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    • pp.193-210
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    • 2007
  • In order for a classification system to be useful in every day business environments, it has to reflect peculiar characteristics of enterprises and organizations. By automating the generation process of classification, the overall operation of classification system becomes effective and efficient. However, in order for it to be really useful, human input and interventions are needed from the very beginning phase of the classification generation. This paper proposes an user-guided classification generation algorithm, in which the user inputs a specific level of the classification that she/he wants. Also we propose and implement manipulation operators to tailor the initial classification into the shape that user wants.

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A Study on the Improvement Directions of Data Classification Format for Efficient Information Management System (효율적인 정보화경영을 위한 데이터분류체계의 개선방안에 관한 연구)

  • Park, Jae-Yong
    • International Commerce and Information Review
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    • v.6 no.3
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    • pp.41-61
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    • 2004
  • Today, most companies are needed to become interested on e-Biz and information management system. Especially, Data classification format system was very important for application to effective and efficiency management decision support. They should include main entry which consists of department, employee's name, title, publication date. Now, each company is using eleven different methods on data classification format system. In this paper finding result was as follows, in other words, general management document case using the nine date classification methods and special report management document ca se using the twodata classification methods. The aim of this study is to investigate problems that the present data classification format system has and some concerns that should be taken into account in case of the modification of the data classification system and change into a new one. This study is based on the survey in that the company managergave to 35 companies throughout the nation. As a result, the survey indicates that the crucial concerns of the participating managers are ineffective management information source and the duplication of data classification systems. This paper is the transcendental study the introduction of data classification format systems to business companies in Korea. This paper provided the fundamental data for the effective business process reengineering in business activity for management information.

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Learning and Classification in the Extensional Object Model (확장개체모델에서의 학습과 계층파악)

  • Kim, Yong-Jae;An, Joon-M.;Lee, Seok-Jun
    • Asia pacific journal of information systems
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    • v.17 no.1
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    • pp.33-58
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    • 2007
  • Quiet often, an organization tries to grapple with inconsistent and partial information to generate relevant information to support decision making and action. As such, an organization scans the environment interprets scanned data, executes actions, and learns from feedback of actions, which boils down to computational interpretations and learning in terms of machine learning, statistics, and database. The ExOM proposed in this paper is geared to facilitate such knowledge discovery found in large databases in a most flexible manner. It supports a broad range of learning and classification styles and integrates them with traditional database functions. The learning and classification components of the ExOM are tightly integrated so that learning and classification of objects is less burdensome to ordinary users. A brief sketch of a strategy as to the expressiveness of terminological language is followed by a description of prototype implementation of the learning and classification components of the ExOM.