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How to design bibliometric research: an overview and a framework proposal
Bibliometric analysis has recently become a popular and rigorous technique used for
exploring and analyzing the literature in business and management. Prior studies principally …
exploring and analyzing the literature in business and management. Prior studies principally …
Digitalization and artificial knowledge for accountability in SCM: a systematic literature review
Purpose In this study, the authors examine artificial knowledge as a fundamental stream of
knowledge management for sustainable and resilient business models in supply chain …
knowledge management for sustainable and resilient business models in supply chain …
State-of-the-art of artificial intelligence and big data analytics reviews in five different domains: A bibliometric summary
Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and
Big Data Analytics (BDA) significant consideration when exploring emerging research trends …
Big Data Analytics (BDA) significant consideration when exploring emerging research trends …
Big data for creating and capturing value in the digitalized environment: unpacking the effects of volume, variety, and veracity on firm performance
Despite significant academic and managerial interest in big data, there is a dearth of
research on how big data impacts the long‐term firm performance. Reasons for this gap …
research on how big data impacts the long‐term firm performance. Reasons for this gap …
Digital supply chain model in Industry 4.0
Purpose The purpose of this paper is to present a conceptual model that defines the
essential components sha** the new Digital Supply Chains (DSCs) through the …
essential components sha** the new Digital Supply Chains (DSCs) through the …
Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness
This study investigates the literary corpus of the role and potential of data intelligence and
analytics through the lenses of artificial intelligence (AI), big data, and the human–AI …
analytics through the lenses of artificial intelligence (AI), big data, and the human–AI …
Embracing supply chain digitalization and unphysicalization to enhance supply chain performance: a conceptual framework
Purpose The paper presents a research methodology that could be used to carry out a
systematic literature review on the current state of the art of the technological development in …
systematic literature review on the current state of the art of the technological development in …
Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions
Purpose Although the value of artificial intelligence (AI) has been acknowledged by
companies, the literature shows challenges concerning AI-enabled business-to-business …
companies, the literature shows challenges concerning AI-enabled business-to-business …
Big data analytics in supply chain management: A systematic literature review and research directions
Big data analytics has been successfully used for various business functions, such as
accounting, marketing, supply chain, and operations. Currently, along with the recent …
accounting, marketing, supply chain, and operations. Currently, along with the recent …
Do knowledge sharing and big data analytics capabilities matter for green absorptive capacity and green entrepreneurship orientation? Implications for green …
Purpose This study is the first to examine how big data analytics (BDA) capabilities affect
green absorptive capacity (GAC) and green entrepreneurship orientation (GEO). It uses the …
green absorptive capacity (GAC) and green entrepreneurship orientation (GEO). It uses the …