An enterprise centric analytical risk assessment framework for new product development

This research intends to aid product managers at early stages (before detailed design stage) of product development to identify and thus benchmark the minimal risk prone design concept for further development and commercialization. As requirements pertaining to relevant functional divisions within t...

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Autor principal:	Mohit Goswami
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2018
Materias:	new product development bayesian network enterprise risk enterprise competitiveness Business HF5001-6182 Management. Industrial management HD28-70
Acceso en línea:	https://doaj.org/article/c8bd9be7c3374db68cdd089f463d0859
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spelling	oai:doaj.org-article:c8bd9be7c3374db68cdd089f463d08592021-12-02T13:26:14ZAn enterprise centric analytical risk assessment framework for new product development2331-197510.1080/23311975.2018.1540255https://doaj.org/article/c8bd9be7c3374db68cdd089f463d08592018-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2018.1540255https://doaj.org/toc/2331-1975This research intends to aid product managers at early stages (before detailed design stage) of product development to identify and thus benchmark the minimal risk prone design concept for further development and commercialization. As requirements pertaining to relevant functional divisions within the enterprise are needed to be included at the project initiation stage of design process, it can be easily ascertained that pertinent techno-commercial risks be included for development of the predictive framework. Bayesian network methodology has been deployed to draw the relationships amongst various risk parameters corresponding to different functional divisions. The devised framework has been validated and tested using a real-life case from construction and mining equipment industry. The key benefit arising out of my evolved methodology is that product development agencies within manufacturers would be able to iteratively converge upon the design concepts representing moderate to lower risk as far as effective execution of downstream organizational processes such as production, sourcing, distribution etc. is concerned.Mohit GoswamiTaylor & Francis Grouparticlenew product developmentbayesian networkenterprise riskenterprise competitivenessBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 5, Iss 1 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	new product development bayesian network enterprise risk enterprise competitiveness Business HF5001-6182 Management. Industrial management HD28-70
spellingShingle	new product development bayesian network enterprise risk enterprise competitiveness Business HF5001-6182 Management. Industrial management HD28-70 Mohit Goswami An enterprise centric analytical risk assessment framework for new product development
description	This research intends to aid product managers at early stages (before detailed design stage) of product development to identify and thus benchmark the minimal risk prone design concept for further development and commercialization. As requirements pertaining to relevant functional divisions within the enterprise are needed to be included at the project initiation stage of design process, it can be easily ascertained that pertinent techno-commercial risks be included for development of the predictive framework. Bayesian network methodology has been deployed to draw the relationships amongst various risk parameters corresponding to different functional divisions. The devised framework has been validated and tested using a real-life case from construction and mining equipment industry. The key benefit arising out of my evolved methodology is that product development agencies within manufacturers would be able to iteratively converge upon the design concepts representing moderate to lower risk as far as effective execution of downstream organizational processes such as production, sourcing, distribution etc. is concerned.
format	article
author	Mohit Goswami
author_facet	Mohit Goswami
author_sort	Mohit Goswami
title	An enterprise centric analytical risk assessment framework for new product development
title_short	An enterprise centric analytical risk assessment framework for new product development
title_full	An enterprise centric analytical risk assessment framework for new product development
title_fullStr	An enterprise centric analytical risk assessment framework for new product development
title_full_unstemmed	An enterprise centric analytical risk assessment framework for new product development
title_sort	enterprise centric analytical risk assessment framework for new product development
publisher	Taylor & Francis Group
publishDate	2018
url	https://doaj.org/article/c8bd9be7c3374db68cdd089f463d0859
work_keys_str_mv	AT mohitgoswami anenterprisecentricanalyticalriskassessmentframeworkfornewproductdevelopment AT mohitgoswami enterprisecentricanalyticalriskassessmentframeworkfornewproductdevelopment
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An enterprise centric analytical risk assessment framework for new product development

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