An integrated enterprise resources planning framework for supply chain management using business intelligence tools

Koupaei, Mehrdad Nouri; Khamseh, Alireza Arshadi

doi:10.1504/ijbpscm.2017.10010001

Cited by 3 publications

(2 citation statements)

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“…Since most organizations are yet to experience BI in their production planning, hence, BI integrated ERP can provide advanced business data analytics including data mining, text mining, predictive analytics, statistical analysis, and macro analysis. It can be very effective in supporting a vast range of business decisions that range from operational to strategic including both internal and external operational and business data (Koupaei et al, 2016). Aldossari and Mokhtar (2020) suggested several factors important for the adoption of BI into ERP, such as technological factors (system quality, service quality, and information quality), organizational factors (change management, effective communication, and training), and environmental factors (clear vision and planning, competitive pressure and policy, and government role).…”

Section: Business Intelligence (Bi)mentioning

confidence: 99%

History, Features, Challenges, and Critical Success Factors of Enterprise Resource Planning (ERP) in The Era of Industry 4.0

Al-Amin¹,

Hossain²,

Islam³

et al. 2023

Preprint

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Section: Business Intelligence (Bi)mentioning

confidence: 99%

History, Features, Challenges, and Critical Success Factors of Enterprise Resource Planning (ERP) in The Era of Industry 4.0

Al-Amin¹,

Hossain²,

Islam³

et al. 2023

Preprint

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“…Or, deux facteurs essentiels d'une BI pertinente sont la qualité et l'intégrité de données durables (Appelbaum et al 2017) qui sont des composantes essentielles de tout système d'analyse d'affaires (Cosic et al 2012 ;Chae et Olson 2013). Comme le montrent de nombreux auteurs (Redman 2008 ;Davenport et al 2010 ;Koupaei et al 2016), les analyses ne peuvent être efficaces que si les données de bases sont d'excellente qualité. À ce stade, le CG peut intervenir puisque la fiabilisation des données est une des tâches qui lui incombe (Besson 1999).…”

Section: Défis De L'implémentation De La Bi Et Implication Des Contrôleursunclassified

L’évolution des rôles du contrôleur de gestion à l’ère de la Business Intelligence

Reutter¹,

Allain²,

Landagaray³

2021

Accra

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Distribution électronique Cairn.info pour Association Francophone de Comptabilité. © Association Francophone de Comptabilité. Tous droits réservés pour tous pays.La reproduction ou représentation de cet article, notamment par photocopie, n'est autorisée que dans les limites des conditions générales d'utilisation du site ou, le cas échéant, des conditions générales de la licence souscrite par votre établissement. Toute autre reproduction ou représentation, en tout ou partie, sous quelque forme et de quelque manière que ce soit, est interdite sauf accord préalable et écrit de l'éditeur, en dehors des cas prévus par la législation en vigueur en France. Il est précisé que son stockage dans une base de données est également interdit.

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Agile and Lean Supply Chain: Research Trends (2017-2021)

Ekren

2022

Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi

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Today, the two terms - agility and leanness are frequently encountered in the literature due to their effects on industrial sectors. They are the two basic paradigms of the businesses that help them to build strategies and to gain a competitive advantage. This study aimed to explore the emerging research topics and the main research trends within agile and lean supply chain (SC) paradigms in recent years and to explore the interrelationships between them. A word co-occurrence analysis technique was adopted in this study. A data set of 526 publications, obtained from the Web of Science database, had been analyzed. The findings show that many topics such as SC strategy, green SC, and SC agility are present since 2018. Besides, the topics such as SC design, collaboration, cold SC, lean and agile SC, and SC risk management were emerging topics. The most common research areas revealed are; environmental risks in the agile SC, combining lean SC with agile SC, leagile SC strategies, SC risk management, and agility in SC integration.

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An integrated enterprise resources planning framework for supply chain management using business intelligence tools

Cited by 3 publications

References 0 publications

History, Features, Challenges, and Critical Success Factors of Enterprise Resource Planning (ERP) in The Era of Industry 4.0

History, Features, Challenges, and Critical Success Factors of Enterprise Resource Planning (ERP) in The Era of Industry 4.0

L’évolution des rôles du contrôleur de gestion à l’ère de la Business Intelligence

Agile and Lean Supply Chain: Research Trends (2017-2021)

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