Risk Management in Product Development: Risk Identification, Assessment, and Mitigation – A Literature Review

Oehmen, Josef; Guenther, Agnes; Herrmann, Jeffrey W.; Schulte, Jesko; Willumsen, Pelle Lundquist

doi:10.1017/dsd.2020.27

Cited by 21 publications

(14 citation statements)

References 39 publications

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“…As human beings enter the 21st century, the world has entered the era of informationization. Under the influence of the general trend, my country's e-commerce is also developing by leaps and bounds [4][5][6]. According to the survey report of the National Bureau of Statistics, from January to March 2015, the sales of all online goods and services in China reached 760.7 billion yuan, a year-on-year increase of 41.300 yuan.…”

Section: Introductionmentioning

confidence: 99%

Financial Transaction Risk Identification Method Based on Boosting-SVM Algorithm

Fang

2022

Wireless Communications and Mobile Computing

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The development of the network economy has brought a great impact on the society. In the process of online transactions, if the transaction risks are not prevented and improved in time, it will directly affect the normal development of the social economy. Therefore, it is necessary to synchronize transaction subjects and objects, and at the same time control transaction risks, and promote the rapid development of e-commerce, which is an important problem to be solved urgently in current online transactions. This paper first summarizes the characteristics and risk performance of new transactions and identifies and controls them according to their characteristics and different risk characteristics. The cybercriminal industry uses illegal means to seek benefits in online transactions. The continuous improvement of big data technology and data mining technology makes it possible to identify transaction risks in the consumption process. In particular, the research and identification of black industries can not only ensure the normal operation of merchants and reduce the loss of economic interests of merchants but also make the transaction experience of natural users smoother. Based on the existing consumption data, this paper adopts the Boosting-SVM model to identify natural users and black-produced users in the transaction process. The results show that the model achieves good recognition results. The overall prediction accuracy of the model is over 95%, the identification accuracy rate of high-risk transactions is over 98%, and other indicators are also over 96%. Compared with other risk identification, the overall accuracy of the algorithm is increased by 1%, and the risk identification accuracy is increased by more than 8%. Generally speaking, the method in this paper provides technical support to related industries to a certain extent.

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Section: Introductionmentioning

confidence: 99%

Financial Transaction Risk Identification Method Based on Boosting-SVM Algorithm

Fang

2022

Wireless Communications and Mobile Computing

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“…An effective and efficient risk management strategy must be selected to match the specific product development case. Firms that develop products use risk identification, assessment, and mitigation to support their risk management procedures and decision-making [25], where the risks are detectable and manageable. Product development industries are also assisted in incorporating sustainability into strategic, tactical, and operational decision-making [26].…”

Section: Literature Reviewmentioning

confidence: 99%

Selection of Unmanned Aircraft Development Model in Indonesia using the AHP Method

Utama,

Sumantri,

Bura

et al. 2023

IJACSA

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Countries worldwide are attempting to acquire or create Class 3 unmanned aircraft as part of their armies' primary weapons systems. The development of medium altitude long endurance (MALE) unmanned aircraft in Indonesia forms part of the national strategic program. Based on documentation studies, three alternative MALE-class unmanned aircraft development models were identified. This study aims to determine the most appropriate unmanned aircraft development model for the MALE class for Indonesia's current situation. This will aid decision-making by the government and stakeholders related to the drone development model. The analytical hierarchy process (AHP) method was used to analyze the decision-making for the selection of an unmanned aircraft development model. The study began with a questionnaire survey of 11 experts from various institutions. The results show that the priority criterion should be the benefits obtained, followed by the opportunity and budget criteria, and, finally, the risk. The consortium model, which had the highest score of 0.548, is the most suitable for Indonesia's development of MALE-class unmanned aircraft. The results of the study are expected to provide useful input for AHP researchers, government institutions, and stakeholders.

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“…In this section, it is examined how project-, team-, and riskrelated management may affect coordination needs and whether it has been indicated that characteristics influence the performance of teams. [1] conducted a literature review on risk management practices and methods in the design and development of products. The mentioned study also investigated the types of evidence utilized to assess the efficiency of risk management activities.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Risk Factors in the Scope of Distributed Software Team Structure

Şahin¹,

Dinler²,

Abualigah³

2021

European Journal of Science and Technology

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The distributed software team structure represents a development type ensuring that team members are located in different remote sites through the life cycle of the software. Hence, it forms a network of distant sub-teams. Nowadays, the development of software projects with geographically distant groups forces software development environments to be flexible. It is of great importance for these software managers to organize and manage their distributed team management well. A higher number of stakeholders are brought to the scene of software projects by the trend of the distributed teams throughout countries and zones. Whereas risk management is the most significant assurance to obtain the project's expected outcome, the said processes must be considered as the shared responsibilities and commitment of the stakeholders taking part in the project from each site. The development of software 'in-house' leads to a number of risks. At the same time, its development partially in another geography causes the exponential multiplication of the risks in question. The management of risks must start at the early project stages and proceed in the form of a monitoring and follow-up effort during the projects' life cycle. In scope of this paper, the process steps developed to be carried out in accordance with Capability Maturity Model Integration (CMMI), instead of the traditional project method approach of the main risk factors in the distributed team structure are explained in detail. Also, the current study aimed to reveal the components taking part in the process of risk management regarding distributed software development.

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Risk Management in Product Development: Risk Identification, Assessment, and Mitigation – A Literature Review

Cited by 21 publications

References 39 publications

Financial Transaction Risk Identification Method Based on Boosting-SVM Algorithm

Financial Transaction Risk Identification Method Based on Boosting-SVM Algorithm

Selection of Unmanned Aircraft Development Model in Indonesia using the AHP Method

Analysis of Risk Factors in the Scope of Distributed Software Team Structure

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