• Title/Summary/Keyword: ERRC Analysis

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A Quantitative ERRC Analysis Method via Requirements Cost Estimation (요구사항의 비용산출을 통한 정량적인 ERRC 분석 방법)

  • Eom, Jeong-Yong;Kim, Neung-Hoe;Lee, Dong-Hyun;In, Hoh Peter
    • Journal of Information Technology Services
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    • v.8 no.1
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    • pp.113-124
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    • 2009
  • Value-based requirements engineering process, called The ViRE(Value-Innovative Requirement Engineering) was suggested to create an uncontested market using ERRC(Eliminate, Reduce, Raise, Create) requirements analysis. But ViRE did not provides a quantitative data analysis method for ERRC decision so as to make objective decisions for customers. In this paper, to solve this problem, we suggest a quantitative ERRC analysis method by estimating requirements cost. Our method defines user requirements and decides their weight. Then, it makes quality level table for all the identified requirements and function modules and estimate implementation cost based on their quality levels. Finally, assess each requirement's impact and then evaluate ERRC value. We could get the more objective ERRC values by evaluate the requirement weight. functional module weight, and implementation cost. And we proved the efficiency of our model by a case study, smart student ID system.

A Quantitative ERRC Analysis Using Requirements Cost Estimation method (요구사항의 비용산출을 통한 정량적인 ERRC 산출 방안)

  • Eom, Jeong-Yong;Kim, Sang-Su;In, Ho
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.06b
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    • pp.53-57
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    • 2007
  • 경쟁이 없는 블루오션을 개척하기 위하여 블루오션 요구공학 방법론과 세부 접근법인 ERRC Analysis 기법이 제안되었다. 하지만, 기존에 제안된 기법은 정량적인 데이터를 근거로 하는 분석방식을 제시하지 않기 때문에, 고객에게 객관적인 판단기준을 제시하기 어렵다는 문제점이 있다. 본 논문에서는 이러한 문제점을 해결하기 위한 방안으로 요구사항의 비용산출을 통한 정량적인 ERRC 분석 방법에 대하여 제안하였다. 제안된 방법에서는 요구사항을 구현하는 비용을 산출한 다음, 이를 요구사항별 가중치와 비교하여 요구사항에 대한 ERRC 수치를 정량적으로 산정하는 방법을 적용하였다. 유효성 검증을 위하여 "스마트카드를 이용한 학생증 시스템"에 적용한 사례를 제시한다.

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Development of a Blue Ocean Strategy Enhancing Management Efficiencies of Long-term Care Visiting Nursing Centers (방문간호센터의 경영 효율성 제고를 위한 블루오션 전략 개발)

  • Lim, Ji Young;Kim, Juhang;Kim, Yeseo;Kim, Sungjun
    • Journal of Home Health Care Nursing
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    • v.30 no.1
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    • pp.69-83
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    • 2023
  • Purpose: This study aimed to present Blue Ocean strategies by deriving the strategic elements of a visiting nursing center and conducting a survey on the importance and satisfaction of care clients. Methods: First, a FGI was conducted targeting the head of the visiting nursing center to derive its strategic elements. Subsequently, importance and satisfaction surveys on the derived strategy elements were analyzed, an IPA matrix was derived, and an as-is ERRC Blue Ocean strategy was established. Kano's Three-Factor Theory was used to derive a competitive position matrix and establish a to-be ERRC Blue Ocean strategy. The Blue Ocean Strategy for Visiting Nursing Center Management is presented in this study. Results: Four as raise factors were derived from combining the results of the as-is, to-be ERRC strategy element analysis: retention of competent nurses, education in medication management, maintenance of high customer satisfaction, and prompt handling of customer complaints. Additionally, the customer's health condition evaluation was derived. Conclusion: Blue Ocean Strategies can be used to analyze, derive, and establish management strategies in various nursing-related entrepreneurship fields.

BPR Consulting applying New Customer Value Innovation Requirements Engineering Process (새로운 고객 가치혁신 요구공학 프로세스를 적용한 BPR 컨설팅)

  • Han, Kwang-Shin;Park, Man-Gon
    • Journal of Korea Multimedia Society
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    • v.21 no.6
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    • pp.685-697
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    • 2018
  • (Most companies that perform BPR have not achieved satisfactory results or have not performed successful BPRs. There are many reasons for this, but the most important one has caused problems that do not accurately reflect the requirements of various stakeholders. In this paper, we will apply the BPR consulting methodology to a new value innovation requirements engineering process based on the Blue Ocean strategy, which is a way to create a new market without competition by customerizing potential customers by satisfying new customer expectations and needs. This paper uses a requirements engineering process that can generate customer value by applying the ERRC(Erasure Reduce Raise Create) analysis method, which is the core of the Blue Ocean Strategy Framework[1,2]. We will also apply the Six Sigma DFSS (Design For Six Sigma) methodology to improve quality and process through quantitative and systematic analysis. The proposed approach was presented to the BPR consulting to present a practical case, and the results of the empirical analysis of the system user to validate the results of BPR consulting.

Requirements Engineering Process Applying the Blue Ocean Strategy (블루오션 전략을 적용한 요구공학 프로세스)

  • Kim, SangSoo;Lim, SangWon;Park, Stanley;In, Hoh
    • Journal of the Korean Society of Systems Engineering
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    • v.2 no.1
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    • pp.11-17
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    • 2006
  • According to the change of customer needs, integration with other systems, and the advent of new technology, it is inevitable for the existing system requirements to be requested to redesign. However, there are actually no methodologies and processes to be able to reorganize the existing requirements or integrate a number of requirements different from each other. The traditional requirements processes do not work when solving such problems. Thus, since the existing approaches to develop requirements are not helpful, many traditional requirement engineering processes can not help falling in Red Ocean. In this paper, in order to solve such the problems, we propose a novel requirements engineering process applying Blue ocean strategy which is used to open a non-competition market not discovered yet. Blue Ocean approach is a novel effective method to elicit and build up new requirements from customers. In order to accomplish the strategy, this paper presents a framework and processes to discover new perspectives and analyze the corresponding requirements. In addition, some pieces of case study are presented to introduce how our approach is applied to practical system developments and the evaluation analysis for how valid it is.

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