• 제목/요약/키워드: Information business

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A Methodology for Integrating Business Process and Simulation for Business Process Redesign

  • Kim, Joong-In;Yim, Dong-Soon;Choi, Jung-Sang;Kim, Keun-Chong
    • International Journal of Quality Innovation
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    • 제6권1호
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    • pp.74-97
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    • 2005
  • IDEF0 is the IEEE standard for functional enterprise modeling and has been used for business process modeling or process mapping in US and Europe. But it does not reflect the potential benefits of modeling and simulation of the dynamic aspects of an enterprise or a system. On the other hand, simulation tools concentrate mostly on the simulation of material flows and are difficult to include information flows and control flows. Additionally, the simulation models that include elements such as queues, event generators and process nodes is a visual interactive representation for the model builder, but is inconvenient for the domain expert. In an attempt to fill that void, we provide an integration of business process and simulation models in this paper. An enhancement of the IDEF0, called parameterized IDEF0, is proposed and its conversion mechanism to network simulation model is developed. Using this methodology, business process models for alternative systems can be evaluated and compared through simulation on time, cost, and quality metrics. As an application of the proposed methodology, economic evaluation of EDI (Electronic Data Interchange) for time-based BPR (Business Process Redesign) is demonstrated. In addition to BPR, the developed methodology may be further integrated with ABC (Activity Based Costing), TQM (Total Quality Management), and economic evaluation of information systems.

BPM 기반의 KMS 통합 구축 방안 및 적용사례: 'H'중공업 영업 및 견적업무 프로세스를 중심으로 (A Methodology of Implementing the Business Process-based Knowledge Management System and its Case Study)

  • 김태철;장길상
    • 한국정보시스템학회지:정보시스템연구
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    • 제18권3호
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    • pp.299-326
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    • 2009
  • R In today's competitive and global business management, Concern of an enterprise is to strengthen the core competency and improve it's internal business process. Therefore, Interest in BPM(Business Process Management) has grown rapidly. BPM is recognized as best solution to meet the needs of organizations that seek the cost down, integration of information, reducing of risk, improvement of productivity. In the past, the company have usually made huge investments in knowledge management systems which are based on repository keeping tacit knowledge. But this paper shows feasibility of implementation of business process-based knowledge management system that could link knowledge with business process. From an academic point of view, Although There could be several ways to build the business process-based KMS. In this paper, when BPM project and KMS project were started at the same time, the way of how to provide workers with task-related knowledge was discussed. As an case study, an estimate process of H company was analyzed and process modelling was carried out and conceptional architecture framework was depicted.

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Understanding the Entrepreneurial Intention in the Light of Contextual Factors: Gender Analysis

  • RAHAMAN, Md. Atikur;ALI, Md. Julfikar;MAMOON, Zahidur Rahman;Al ASHEQ, Ahmed
    • The Journal of Asian Finance, Economics and Business
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    • 제7권9호
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    • pp.639-647
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    • 2020
  • Entrepreneurial intention is receiving immense recognition in entrepreneurship researches, as it motives an individual to become an entrepreneur. Still, the interplay between gender perspective and contextual factors (i.e., access to capital, business information, social network, educational support, structural support) are not fully investigated in understanding the entrepreneurial intention in developing countries like Bangladesh. Therefore, the paper aims to examine the gender difference and educational discipline difference in the university's students' entrepreneurial intention in relation to contextual factors in Bangladesh. In this study, sample has been particularly taken from the different disciplinary students of private universities. Five-point Likert scale-based survey questionnaire was developed based on past researches. 280 online survey forms were distributed among the university students and finally 225 students' response were found correct as the study sample size (final survey response rate = 80%), after eliminating the incorrect survey responses. For statistical analysis SPSS 23.0 version is used. One-way ANOVA is used to measure the gender and discipline difference on entrepreneurial intention among male and female students. The results show that business information and social network will have more influence on male students' entrepreneurial intention, and comparatively, business students have more willingness to become entrepreneurs than other departmental students.

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

  • 윤여창;이성덕;성재현
    • 응용통계연구
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    • 제28권1호
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    • pp.103-114
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    • 2015
  • 경제의 새로운 성장요인으로 중소기업의 역할이 부각됨에 따라 중소기업의 경기를 적절히 파악할 수 있는 지표 개발의 필요성이 증대되고 있다. 현재 여러 기관에서 발표하는 중소기업 경기와 관련된 지표들은 대부분 BSI(Business survey index)에 기초하고 있고 주관적 지표에 의존하고 있어 정확한 경기 상황을 충분히 반영한다고 볼 수 없다. 본 연구에서 제시한 새로운 경기지표는 주성분 분석과 가중치 방법으로 통계청의 기준순환 일에 의한 경기 국면을 적절히 반영하고 있다. 제안된 새로운 경기지수는 경기종합지수와 유사한 추세를 보이면서 통계학적 이론에 충실한 지표임을 실증사례 연구로부터 입증한다.

Key Themes for Multi-Stage Business Analytics Adoption in Organizations

  • Amit Kumar;Bala Krishnamoorthy;Divakar B Kamath
    • Asia pacific journal of information systems
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    • 제30권2호
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    • pp.397-419
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    • 2020
  • Business analytics is a management tool for achieving significant business performance improvements. Many organizations fail to or only partially achieve their business objectives and goals from business analytics. Business analytics adoption is a multi-stage complex activity consisting of evaluation, adoption, and assimilation stages. Several research papers have been published in the field of business analytics, but the research on multi-stage BA adoption is fewer in number. This study contributes to the scant literature on the multi-stage adoption model by identifying the critical themes for evaluation, adoption, and assimilation stages of business analytics. This study uses the thematic content analysis of peer-reviewed published academic papers as a research technique to explore the key themes of business analytics adoption. This study links the critical themes with the popular theoretical foundations: Resource-Based View (RBV), Dynamic Capabilities, Diffusion of Innovations, and Technology-Organizational-Environmental (TOE) framework. The study identifies twelve major factors categorized into three key themes: organizational characteristics, innovation characteristics, and environmental characteristics. The main organizational factors are top management support, organization data environment, centralized analytics structure, perceived cost, employee skills, and data-based decision making culture. The major innovation characteristics are perceived benefits, complexity, and compatibility, and information technology assets. The environmental factors influencing BA adoption stages are competition and industry pressure. A conceptual framework for the multi-stage BA adoption model is proposed in this study. The findings of this study can assist the practicing managers in developing a stage-wise operational strategy for business analytics adoption. Future research can also attempt to validate the conceptual model proposed in this study.

Development of Purchasing Information Process Agent System

  • Kwon, Suhn-Beom;Sukho Ko
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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    • pp.169-175
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    • 2001
  • It is not easy for business workers to find proper information for his job, because of the following problems:(1) information exist in various information system both internal and external with diverse formats(2) he cannot estimate relevance of all the information and (3) he cannot select proper information among large volume of information. The requirements for the systems are the following things:(1) search of relevant information from various internal and external information systems(2) proving an integrated view of information for workers, and (3) information processing and decision-making are seamlessly integrated fro business workers. We proposed an agent system to fulfill the requirements. We focus on the purchasing job, and developed a prototype system. PIPA(Purchasing Information Process Agent). The PIPA performs not only information processing jobs(information search gathering, display, business form -making)but also decision-making support job (evaluation of supplier candidates, and apply of sourcing policy) for sourcing manager. The framework of the PIPA can be appled to other information processing and desision-making jobs.

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유비쿼터스 비즈니스 모델 저장소를 이용한 경쟁 전략 수립 방법 (A method to build competitive strategy based on the ubiquitous business model repository)

  • 송희석;한관희;여재현;박광만;이광희
    • 산업공학
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    • 제21권3호
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    • pp.283-293
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    • 2008
  • It is important to choose and develop right business model in the process of implementing the ubiquitous service concept. In particular, it is also required to build a method which can assist in establishing a business model in a competitive perspective to differentiate business strategy. However, we could not find the existing studies which tried to develop business model including methods on how to differentiate business strategy in a competitive environment. In this study, we propose an ontology for repository of ubiquitous business model and address on how to apply the proposed business model repository to real ubiquitous industry. We also built a repository of unlicensed wireless device industry to check the applicability of proposed ubiquitous business model ontology and to show the various examples. We expect that building the business model repository contributes to reduce the redundancy and inefficiency for industry as well as to increase likelihood of business success for an individual company.

e-비즈니스 발전단계에 따른 경쟁전략과 e-비즈니스 성과와의 관련성 분석 (An Empirical Study on the Relationship between Competitive Strategy and e-Business Performance by e-Business Development Stages)

  • 박용재;정경수
    • 한국정보시스템학회지:정보시스템연구
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    • 제16권2호
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    • pp.1-33
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    • 2007
  • Selecting and implementing competitive strategies based on e-business is extremely important since it determines if an enterprise can continue to grow or not. Accordingly, systematic and empirical study on the implementation of e-business based on competitive strategy is required, and in-depth studies considering various e-business development stages of enterprises are also needed. The purpose of this study is to present guideline for the staff in charge and managers of enterprises to achieve competitive advantage and to increase organizational performance in e-business environments. What we have found are as follows. (1) Factors greatly influencing on competitive strategy selection through e-business were environmental uncertainty, centralization, innovative culture, technological competence, and formalization. (2) Results of the relationship between competitive strategies and e-business performance showed that each strategy had different effects on financial performance, process performance, and customer performance. and (3) Data analysis between internal and external environmental factors and competitive strategy by each e-business development stage proved that the relationships between competitive strategy and e-business performance were different based on e-business development stage. Implications of the study and guidelines for the managers are provided in the paper.

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Applications of Machine Learning Models on Yelp Data

  • Ruchi Singh;Jongwook Woo
    • Asia pacific journal of information systems
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    • 제29권1호
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    • pp.35-49
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    • 2019
  • The paper attempts to document the application of relevant Machine Learning (ML) models on Yelp (a crowd-sourced local business review and social networking site) dataset to analyze, predict and recommend business. Strategically using two cloud platforms to minimize the effort and time required for this project. Seven machine learning algorithms in Azure ML of which four algorithms are implemented in Databricks Spark ML. The analyzed Yelp business dataset contained 70 business attributes for more than 350,000 registered business. Additionally, review tips and likes from 500,000 users have been processed for the project. A Recommendation Model is built to provide Yelp users with recommendations for business categories based on their previous business ratings, as well as the business ratings of other users. Classification Model is implemented to predict the popularity of the business as defining the popular business to have stars greater than 3 and unpopular business to have stars less than 3. Text Analysis model is developed by comparing two algorithms, uni-gram feature extraction and n-feature extraction in Azure ML studio and logistic regression model in Spark. Comparative conclusions have been made related to efficiency of Spark ML and Azure ML for these models.