[HTML][HTML] Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research

JR Saura, D Ribeiro-Soriano… - Industrial Marketing …, 2021 - Elsevier
The new business challenges in the B2B sector are determined by connected ecosystems,
where data-driven decision making is crucial for successful strategies. At the same time, the …

The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions

AFS Borges, FJB Laurindo, MM Spínola… - International journal of …, 2021 - Elsevier
Artificial Intelligence tools have attracted attention from the literature and business
organizations in the last decade, especially by the advances in machine learning …

Leveraging artificial intelligence in business: Implications, applications and methods

A Sestino, A De Mauro - Technology Analysis & Strategic …, 2022 - Taylor & Francis
ABSTRACT The concept of Artificial Intelligence (AI) as a business-disruptive technology
has developed in academic and professional literature in a chaotic and unstructured …

Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions

R Han, HKS Lam, Y Zhan, Y Wang… - … Management & Data …, 2021 - emerald.com
Purpose Although the value of artificial intelligence (AI) has been acknowledged by
companies, the literature shows challenges concerning AI-enabled business-to-business …

Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights

FJ Martínez-López, J Casillas - Industrial Marketing Management, 2013 - Elsevier
Intelligent systems have particular potentialities and strengths to support decisional
situations faced by companies, especially those of a strategic nature, where good strategic …

Process systems engineering: From Solvay to modern bio-and nanotechnology.: A history of development, successes and prospects for the future

G Stephanopoulos, GV Reklaitis - Chemical engineering science, 2011 - Elsevier
The term Process Systems Engineering (PSE) is relatively recent. It was coined about 50
years ago at the outset of the modern era of computer-aided engineering. However, the …

Designing an integrated decision support system to link supply chain processes performance with time to market

SA Khan, SM Hassan, S Kusi-Sarpong… - … Systems Using AI …, 2023 - taylorfrancis.com
This study aims to evaluate the relative importance of critical performing supply chain (SC)
processes instrumental in reducing the Time to Market (TTM) of a firm by taking the case of …

Robust design of a closed-loop supply chain under uncertainty conditions integrating financial criteria

A Polo, N Peña, D Muñoz, A Cañón, JW Escobar - Omega, 2019 - Elsevier
This paper proposes the formulation of a Mixed Integer Non-Linear Programming (MINLP)
model that integrates financial risks measures in the robust design of a closed-loop supply …

Challenges and opportunities in enterprise-wide optimization in the pharmaceutical industry

JM Laínez, E Schaefer, GV Reklaitis - Computers & chemical engineering, 2012 - Elsevier
Enterprise-wide decision support applications have received increased attention in the
chemical process industry in the last decade. In this paper applications, which have real or …

Designing a demand chain management framework under dynamic uncertainty: An exploratory study of the Chinese fashion apparel industry

Y Ye, KH Lau - Asia Pacific Journal of Marketing and Logistics, 2018 - emerald.com
Purpose The purpose of this paper is to put forward a demand chain management (DCM)
framework underpinned by the alignment theory and applies it to investigate the fashion …