• Asia-Pacific Journal of Business
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• v.10 no.3
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• pp.143-151
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• 2019

Whether export-market prioritization is effective on financial performance is a controversial issue. Nevertheless, few studies have addressed this issue. The present study attempted to explicate the effects of exporters' market prioritization on their superior financial performance. Based prominently on the market-segmentation theory and the relationship-marketing theory, the current study developed propositions of whether export-market prioritization is economically reasonable. It is posited that export-market prioritization postively influences buyer satisfaction in a primary market; that export-market prioritization negatively affects on buyer satisfaction in a secondary market; that export market prioritization reduces costs in relation to export marketing and sales; that buyer satisfaction positively influences buyer loyalty for both buyers in primary markets and ones in secondary markets; that buyer loyalty positively influences share of wallet for both buyers in primary markets and ones in secondary markets; and that share of wallet positively influences sales per buyer for both buyers in primary markets and ones in secondary markets. Thus, exporters should identify suitable export-market segments and prioritize export markets. The present study suggested that exporters monitor market profitability, assess the quality of buyer information, and conduct selective organizational alignment in order to develop a prioritization strategy.

• Journal of KIISE
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• v.43 no.2
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• pp.196-203
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• 2016

Due to the limitations of budget, resources, and time invested in a project, software requirements should be prioritized and be implemented in order of importance. Existing approaches to prioritizing requirements mostly depend on human decisions. The manual prioritization process is based on intensive interactions with the stakeholders, thus raising the issues of scalability and biased prioritization. To solve these problems, we propose a fully automated requirements prioritization approach, ToMSN (Topic Modeling Stakeholder Needs for requirements prioritization), by topic modeling the stakeholder needs-artifacts earned in the requirements elicitation phase. The requirements dataset of a 30,000-user system was utilized for the performance evaluation. ToMSN showed competitive prioritizing accuracy with existing approaches without human aids, therefore solving scalability and biased prioritization issues.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.2
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• pp.9-18
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• 2011

Vender prioritization process is one of the most critical tasks of production and logistics management for many companies. Determining the most critical criteria for vender prioritization process is a vital means for a purchasing company to improve its supply chain productivity. This study discuss the use of a Fuzzy analytic network process (Fuzzy ANP) model which is an efficient tool to handle the fuzziness of the data involved in deciding the preferences of different criteria which are not independent. Also, the comparison of classical ANP and Fuzzy ANP is described using simulation with triangular distribution random number generation. It is shown that Fuzzy ANP model possesses some attractive properties and could be used as an alternative to the known vender prioritization methods.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.30 no.6
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• pp.452-466
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• 2019

As the spectrum demand increases, securing spectrum resources in a timely manner becomes necessary. This paper proposes a spectrum-band prioritization scheme for establishing an efficient spectrum-use policy. The criteria for spectrum-band prioritization are derived from articles of the Radio Waves Act, and a four-level matrix for priority evaluation is proposed, considering both demand urgency and supply ease. The prioritization processes and items to consider for measuring each criteria are also proposed in order to implement the proposed prioritization scheme. It is expected that the proposed scheme can help secure the spectrum in a timely manner, protect incumbent users properly, and promote new spectrum-based businesses.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.932-951
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• 2021

The effectiveness of testing in Model-based Testing (MBT) for Software Product Line (SPL) can be achieved by considering fault detection in test case. The lack of fault consideration caused test case in test suite to be listed randomly. Test Case Prioritization (TCP) is one of regression techniques that is adaptively capable to detect faults as early as possible by reordering test cases based on fault detection rate. However, there is a lack of studies that measured faults in MBT for SPL. This paper proposes a Test Case Prioritization (TCP) approach based on dissimilarity and string based distance called Last Minimal for Local Maximal Distance (LM-LMD) with Dice-Jaro-Winkler Dissimilarity. LM-LMD with Dice-Jaro-Winkler Dissimilarity adopts Local Maximum Distance as the prioritization algorithm and Dice-Jaro-Winkler similarity measure to evaluate distance among test cases. This work is based on the test case generated from statechart in Software Product Line (SPL) domain context. Our results are promising as LM-LMD with Dice-Jaro-Winkler Dissimilarity outperformed the original Local Maximum Distance, Global Maximum Distance and Enhanced All-yes Configuration algorithm in terms of Average Fault Detection Rate (APFD) and average prioritization time.

• ETRI Journal
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• v.26 no.6
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• pp.535-544
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• 2004

With video compression standards such as MPEG-4, a transmission error happens in a video-packet basis, rather than in a macroblock basis. In this context, we propose a semantic error prioritization method that determines the size of a video packet based on the importance of its contents. A video packet length is made to be short for an important area such as a facial area in order to reduce the possibility of error accumulation. To facilitate the semantic error prioritization, an efficient hardware algorithm for face tracking is proposed. The increase of hardware complexity is minimal because a motion estimation engine is efficiently re-used for face tracking. Experimental results demonstrate that the facial area is well protected with the proposed scheme.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.40
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• pp.53-68
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• 1996

This paper focuses on the method of setting priorities for telecommunications standardization work areas (SWAs) and standardization work items (SWIs), detailed sub-areas of each SWA. It is based on prioritization of SWAs to make a strategic plan that usually includes prioritization, resource allocation and standardization schedules for each SWA in telecommunications field. We applied the simple Delphi technique and the Analytic Hierarchy Process (AHP) to the prioritization process. We also introduce 0-1 integer programming for resource allocation using the AHP result. We present analyzed results according to the proposed process. The result of this study will be useful input for telecommunications standardization policy making and practical implementation.

• Journal of Energy Engineering
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• v.11 no.4
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• pp.359-369
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• 2002

Nuclear power plant is a huge system with multidisciplinary technology. So, R & D prioritization is a not a simple task and the relative importance of each prioritization criterion is not well established. This study built a technology classification chart for nuclear power plant operation and maintenace, established the relative importance of prioritization criteria and assigned the relative importance of each technology at each level. Analytical Hierarchy Process was used for the prioritization and the result was validated with Consistency Index and outcomes of fields interview.

• Journal of Korean Society for Quality Management
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• v.30 no.3
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• pp.139-149
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• 2002

A successful product development process can not be achieved without a proper focus and prioritization. For this research, the priority is defined as the relative urgency of a system compared to other system in order to develop and launch a successful product. The process of integrated approach for prioritization using ID and Goal Programming is developed. The development of a mid-size car by an internationally reputed automotive company is described as a case study.

• Journal of the Earthquake Engineering Society of Korea
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• v.12 no.6
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• pp.47-53
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• 2008

This research focuses on the issue of seismic retrofit prioritization based on the Caltrans' highway network serving Los Angeles and Orange counties. Retrofit prioritization is one of most important problems in earthquake engineering, and it is a problem that most decision makers face in the process of resource allocation. This study demonstrates the methods of prioritized resource allocation in the process of retrofitting a regional highway network. For the criteria of a retrofit ranking, seismic vulnerability and the importance of network link are first introduced. Subsequently, link-based seismic retrofit cases are simulated, investigating the effects of the seismic retrofit in terms of seismic performance, such as driver's delay. In this study, probabilistic scenario earthquakes are used to perform a probabilistic seismic risk analysis. The results show that the retrofit prioritization can be differently defined and ranked depending on the stakeholders. This study provides general guidelines for prioritization strategy for the effective retrofitting of a highway network system.