Exploratory research on digitalization transformation practices within supply chain management context in developing countries specifically Egypt in the MENA region

With no doubt, the adoption of Artificial Intelligence applications in customer service reduces the time to market. Nevertheless, the question remains whether or not its adoption in production and logistics will transform the supply chain into a more agile one in developing countries context. Manufa...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Nermin Khalifa, Mona Abd Elghany, Marwa Abd Elghany
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	artificial intelligence supply chain supply chain management developing countries Business HF5001-6182 Management. Industrial management HD28-70
Acceso en línea:	https://doaj.org/article/8e3c17624fff4aeabf531c0124956c43
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:8e3c17624fff4aeabf531c0124956c43
record_format	dspace
spelling	oai:doaj.org-article:8e3c17624fff4aeabf531c0124956c432021-12-02T16:36:16ZExploratory research on digitalization transformation practices within supply chain management context in developing countries specifically Egypt in the MENA region2331-197510.1080/23311975.2021.1965459https://doaj.org/article/8e3c17624fff4aeabf531c0124956c432021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2021.1965459https://doaj.org/toc/2331-1975With no doubt, the adoption of Artificial Intelligence applications in customer service reduces the time to market. Nevertheless, the question remains whether or not its adoption in production and logistics will transform the supply chain into a more agile one in developing countries context. Manufacturers are increasingly facing global competition to fulfil incoming orders within limited lead time, and in compliance with the international quality standards, also supporting a customised service. The emergence of industry 4.0 brought many promises to the leading firms. This research paper gives insight information for applying AI algorithms in production cycle then monitoring the production process and subsequently leading to strategic and tactical engineering decisions through the investigation of a number of case studies. The investigation demonstrates that incorporating AI technologies and machine learning opens up fresh perspectives on a variety of topics, including warehousing and logistics management, cooperation, and supply chain management. AI is embraced by business for productivity improvement, given the fact that the more AI adoption rate, the less employment rate and wages will be. Information & Communication Technology alignment model is endorsed in this paper in order to grant fostering of an environment that streamlines, incentivizes and supports AI expansion prior the implementation of any AI practices to ensure its successful and justified investments. The research concludes that the process is extremely challenging in the context of emerging economies which is restricted with low wages rate, inadequate labour skills and insufficient financial resources.Nermin KhalifaMona Abd ElghanyMarwa Abd ElghanyTaylor & Francis Grouparticleartificial intelligencesupply chainsupply chain managementdeveloping countriesBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 8, Iss 1 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	artificial intelligence supply chain supply chain management developing countries Business HF5001-6182 Management. Industrial management HD28-70
spellingShingle	artificial intelligence supply chain supply chain management developing countries Business HF5001-6182 Management. Industrial management HD28-70 Nermin Khalifa Mona Abd Elghany Marwa Abd Elghany Exploratory research on digitalization transformation practices within supply chain management context in developing countries specifically Egypt in the MENA region
description	With no doubt, the adoption of Artificial Intelligence applications in customer service reduces the time to market. Nevertheless, the question remains whether or not its adoption in production and logistics will transform the supply chain into a more agile one in developing countries context. Manufacturers are increasingly facing global competition to fulfil incoming orders within limited lead time, and in compliance with the international quality standards, also supporting a customised service. The emergence of industry 4.0 brought many promises to the leading firms. This research paper gives insight information for applying AI algorithms in production cycle then monitoring the production process and subsequently leading to strategic and tactical engineering decisions through the investigation of a number of case studies. The investigation demonstrates that incorporating AI technologies and machine learning opens up fresh perspectives on a variety of topics, including warehousing and logistics management, cooperation, and supply chain management. AI is embraced by business for productivity improvement, given the fact that the more AI adoption rate, the less employment rate and wages will be. Information & Communication Technology alignment model is endorsed in this paper in order to grant fostering of an environment that streamlines, incentivizes and supports AI expansion prior the implementation of any AI practices to ensure its successful and justified investments. The research concludes that the process is extremely challenging in the context of emerging economies which is restricted with low wages rate, inadequate labour skills and insufficient financial resources.
format	article
author	Nermin Khalifa Mona Abd Elghany Marwa Abd Elghany
author_facet	Nermin Khalifa Mona Abd Elghany Marwa Abd Elghany
author_sort	Nermin Khalifa
title	Exploratory research on digitalization transformation practices within supply chain management context in developing countries specifically Egypt in the MENA region
title_short	Exploratory research on digitalization transformation practices within supply chain management context in developing countries specifically Egypt in the MENA region
title_full	Exploratory research on digitalization transformation practices within supply chain management context in developing countries specifically Egypt in the MENA region
title_fullStr	Exploratory research on digitalization transformation practices within supply chain management context in developing countries specifically Egypt in the MENA region
title_full_unstemmed	Exploratory research on digitalization transformation practices within supply chain management context in developing countries specifically Egypt in the MENA region
title_sort	exploratory research on digitalization transformation practices within supply chain management context in developing countries specifically egypt in the mena region
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/8e3c17624fff4aeabf531c0124956c43
work_keys_str_mv	AT nerminkhalifa exploratoryresearchondigitalizationtransformationpracticeswithinsupplychainmanagementcontextindevelopingcountriesspecificallyegyptinthemenaregion AT monaabdelghany exploratoryresearchondigitalizationtransformationpracticeswithinsupplychainmanagementcontextindevelopingcountriesspecificallyegyptinthemenaregion AT marwaabdelghany exploratoryresearchondigitalizationtransformationpracticeswithinsupplychainmanagementcontextindevelopingcountriesspecificallyegyptinthemenaregion
_version_	1718383644419031040

Exploratory research on digitalization transformation practices within supply chain management context in developing countries specifically Egypt in the MENA region

Ejemplares similares