Time consistent expected mean-variance in multistage stochastic quadratic optimization: a model and a matheuristic

Aldasoro, Unai; Maestre, María Merino; Pérez, Gloria

doi:10.1007/s10479-018-3032-7

Cited by 4 publications

(2 citation statements)

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“…Artificial intelligence, as a discipline, initiated by scientist John McCarthy (McCarthy et al , 2006) and formally publicized at Dartmouth Conference in 1956 (Moor, 2006), now occupies a centre stage for many organizations (Balugani et al , 2018; Sreedharan et al , 2018; Balugani et al , 2019; Kumar, 2019). Artificial intelligence forms a part of computer or computing science that generates expert systems, algorithms and programs (Aldasoro et al , 2019; Chen et al , 2019; Colicchia et al , 2019). The real purpose of artificial intelligence is to imitate human brain and perform decision-making like human beings during various situations and circumstances (De Sousa Jabbour et al , 2018; Deshpande et al , 2018).…”

Section: Introductionmentioning

confidence: 99%

Role of artificial intelligence in operations environment: a review and bibliometric analysis

Dhamija

Bag

2020

TQM

217

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Purpose“Technological intelligence” is the capacity to appreciate and adapt technological advancements, and “artificial intelligence” is the key to achieve persuasive operational transformations in majority of contemporary organizational set-ups. Implicitly, artificial intelligence (the philosophies of machines to think, behave and perform either same or similar to humans) has knocked the doors of business organizations as an imperative activity. Artificial intelligence, as a discipline, initiated by scientist John McCarthy and formally publicized at Dartmouth Conference in 1956, now occupies a central stage for many organizations. Implementation of artificial intelligence provides competitive edge to an organization with a definite augmentation in its social and corporate status. Mere application of a concept will not furnish real output until and unless its performance is reviewed systematically. Technological changes are dynamic and advancing at a rapid rate. Subsequently, it becomes highly crucial to understand that where have the people reached with respect to artificial intelligence research. The present article aims to review significant work by eminent researchers towards artificial intelligence in the form of top contributing universities, authors, keywords, funding sources, journals and citation statistics.Design/methodology/approachAs rightly remarked by past researchers that reviewing is learning from experience, research team has reviewed (by applying systematic literature review through bibliometric analysis) the concept of artificial intelligence in this article. A sum of 1,854 articles extracted from Scopus database for the year 2018–2019 (31st of May) with selected keywords (artificial intelligence, genetic algorithms, agent-based systems, expert systems, big data analytics and operations management) along with certain filters (subject–business, management and accounting; language-English; document–article, article in press, review articles and source-journals).FindingsResults obtained from cluster analysis focus on predominant themes for present as well as future researchers in the area of artificial intelligence. Emerged clusters include Cluster 1: Artificial Intelligence and Optimization; Cluster 2: Industrial Engineering/Research and Automation; Cluster 3: Operational Performance and Machine Learning; Cluster 4: Sustainable Supply Chains and Sustainable Development; Cluster 5: Technology Adoption and Green Supply Chain Management and Cluster 6: Internet of Things and Reverse Logistics.Originality/valueThe result of review of selected studies is in itself a unique contribution and a food for thought for operations managers and policy makers.

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Section: Introductionmentioning

confidence: 99%

Role of artificial intelligence in operations environment: a review and bibliometric analysis

Dhamija

Bag

2020

TQM

217

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“…Since then, it has become a prominent focus for numerous organizations (Balugani et al, 2018;Balugani et al, 2019;Kumar et al, 2019). Artificial intelligence (AI) is a field within computer science that encompasses the development of expert systems, algorithms, and programs (Aldasoro et al, 2019;Colicchia et al, 2019). The primary objective of artificial intelligence is to replicate the cognitive abilities of the human brain and effectively engage in decision-making processes analogous to those shown by human beings across diverse settings and conditions (Lopes de Sousa Jabbour et al, 2018; Deshpande et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

A Role of Artificial Intelligence in the Context of Economy: Bibliometric Analysis and Systematic Literature Review

Jrad

2023

ijmst

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This bibliometric analysis aims to explore and assess the multifaceted impact of technology on the economy through a comprehensive review of academic literature. By systematically examining a wide range of research articles, this study intends to provide insights into the various ways in which technology influences economic growth, productivity, innovation, and other key indicators. The analysis will identify trends, influential authors, and prominent journals in the field, shedding light on the evolving relationship between technology and the economy. The paper might highlight a gap in research on how AI is being adopted and leveraged in developing economies. The actual research gaps addressed in the paper will depend on the findings of their systematic literature review and bibliometric analysis. The significance of this paper reflects a recognition that AI has become a driving force behind innovation, productivity improvements, and competitive advantage across industries. The main objective of this research is to use bibliometric analysis to investigate the publication output about artificial intelligence, using data sourced from the Scopus database, to contribute to economic improvement. The data has been gathered using specified terms, including "artificial intelligence, technologies," and "economy," with a focus on the fields of business management, accounting, and computer sciences. The bibliometric analysis included the use of Scopus to gather data, using VOSviewer, Rstudio, and Excel as analytical tools. The data collection spanned from 2016 to 2023. The primary aims of this work are doing a comprehensive bibliometric analysis, examining the co-citation structure, analyzing keyword co-occurrence, and conducting a geographical analysis within the domain of artificial intelligence and economics. The research yields findings about the implications of publishing in the field of artificial intelligence and its impact on business, management, accounting, and computer science from an academic standpoint. This article aims to assist scholars and business experts seeking to construct contemporary company structures, serving as a valuable resource for future endeavors in this field.

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Recapitulation of Research in Artificial Intelligence: A Bibliometric Analysis

Khandelwal

Singh

2021

Proceedings of International Conference on Communication and Artificial Intelligence

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Time consistent expected mean-variance in multistage stochastic quadratic optimization: a model and a matheuristic

Cited by 4 publications

References 32 publications

Role of artificial intelligence in operations environment: a review and bibliometric analysis

Role of artificial intelligence in operations environment: a review and bibliometric analysis

A Role of Artificial Intelligence in the Context of Economy: Bibliometric Analysis and Systematic Literature Review

Recapitulation of Research in Artificial Intelligence: A Bibliometric Analysis

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