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Article
Publication date: 1 April 1973

N.M. AMOSOV, A.M. KASATKIN, L.M. KASATKINA, E.M. KUSSUL, S.A. TALAEV and V.D. FOMENKO

This paper develops a hypothesis concerning the structure and interaction principles of main psychological programs in form of semantic networks. Models for the brain information…

32

Abstract

This paper develops a hypothesis concerning the structure and interaction principles of main psychological programs in form of semantic networks. Models for the brain information mechanisms are proposed, including planning, decision making, complex concept forming and situation evaluation. Some experimental studies are described.

Details

Kybernetes, vol. 2 no. 4
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 1 April 1980

L. Marce, M. Julliere, H. Place and H. Perrichot

Mobile robots offer more flexibility and scope than the fixed single arm type. French researchers are putting considerable effort into developing such devices and here results of…

59

Abstract

Mobile robots offer more flexibility and scope than the fixed single arm type. French researchers are putting considerable effort into developing such devices and here results of their efforts are described.

Details

Industrial Robot: An International Journal, vol. 7 no. 4
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 14 August 2017

Helen S. Du, Xiaobo Ke, Samuel K.W. Chu and Lok Ting Chan

The purpose of this paper is to present a statistical analysis of research into emergency management (EM) using information systems (IS) for the period 2000-2016.

1087

Abstract

Purpose

The purpose of this paper is to present a statistical analysis of research into emergency management (EM) using information systems (IS) for the period 2000-2016.

Design/methodology/approach

In this study, research trends in the area of EM using IS are analysed using various parameters, including trends on publications and citations, disciplinary distribution, journals, research institutions and regional cooperation. Through a keyword co-occurrence analysis, this study identifies the evolution of the main keywords in this area, and examines the changes and developments in the main focus of scholars in this period. The study also explores the main research orientations in the field by analysing and integrating the results of two cluster analyses conducted from keyword- and reference-based perspectives, respectively.

Findings

The area of EM using IS has received increased attention and interest by researchers and practitioners. It is suggested that more cooperation among research institutions is required to help facilitate the further development of the area. Six main research orientations are identified: namely Web 2.0-enabled research, geographic information technology (IT), IT-based research, the contextual use of IT, crisis collaboration research and mass media communication research, since the research area first became popular in 2006.

Originality/value

This study is the first to comprehensively map the landscape of EM by conducting a bibliometric analysis of the research using IS. The authors’ findings can help academics and emergency managers gain a comprehensive understanding of the research area, and guide scholars towards producing more effective findings.

Details

Online Information Review, vol. 41 no. 4
Type: Research Article
ISSN: 1468-4527

Keywords

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Article
Publication date: 29 December 2021

Amit Sood, Rajendra Kumar Sharma and Amit Kumar Bhardwaj

The purpose of this paper is to provide a comprehensive review on the academic journey of artificial intelligence (AI) in agriculture and to highlight the challenges and…

2372

Abstract

Purpose

The purpose of this paper is to provide a comprehensive review on the academic journey of artificial intelligence (AI) in agriculture and to highlight the challenges and opportunities in adopting AI-based advancement in agricultural systems and processes.

Design/methodology/approach

The authors conducted a bibliometric analysis of the extant literature on AI in agriculture to understand the status of development in this domain. Further, the authors proposed a framework based on two popular theories, namely, diffusion of innovation (DOI) and the unified theory of acceptance and use of technology (UTAUT), to identify the factors influencing the adoption of AI in agriculture.

Findings

Four factors were identified, i.e. institutional factors, market factors, technology factors and stakeholder perception, which influence adopting AI in agriculture. Further, the authors indicated challenges under environmental, operational, technological, economical and social categories with opportunities in this area of research and business.

Research limitations/implications

The proposed conceptual model needs empirical validation across countries or states to understand the effectiveness and relevance.

Practical implications

Practitioners and researchers can use these inputs to develop technology and business solutions with specific design elements to gain benefit of this technology at larger scale for increasing agriculture production.

Social implications

This paper brings new developed methods and practices in agriculture for betterment of society.

Originality/value

This paper provides a comprehensive review of extant literature and presents a theoretical framework for researchers to further examine the interaction of independent variables responsible for adoption of AI in agriculture.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2020-0448

Details

Online Information Review, vol. 46 no. 6
Type: Research Article
ISSN: 1468-4527

Keywords

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Article
Publication date: 12 April 2019

Morteza Yazdani, Ernesto D.R.S. Gonzalez and Prasenjit Chatterjee

The implementation of circular economy strategies is one of the central objectives of several governments seeking a transition toward a sustainable development. Circular economy…

3575

Abstract

Purpose

The implementation of circular economy strategies is one of the central objectives of several governments seeking a transition toward a sustainable development. Circular economy in agriculture deals with the production of agricultural commodities making an efficient use of resources and avoiding unnecessary waste and carbon emission generation. Disruptions in the production and supply of critical agricultural products can have serious negative repercussions for firms and consumers of the food supply chain. In recent decades, disruptions generated by natural disasters such as hurricanes, thunderstorms and floods have greatly impacted social communities and industrial sectors. Supply chain risks approaches are seen to contribute key elements to address the impacts of natural disaster toward the implementation of circular economy in agriculture, helping to prevent collapses in the production and supply of food. The purpose of this paper is to study and identify flood risk drivers and their effects on the sustainability of an agriculture supply chain in connection with a circular economy strategy. By using an extended Step-wise Weight Assessment Ratio Analysis method combined with a multi-criteria decision analysis, the most essential flood drivers with a degree of importance are reported here. Then, the authors propose an Evaluation of Data based on average ASsessment method, to rank different agricultural projects that pretend to mitigate the flood risks and its impacts on crop areas. The application of this research lies within the framework of a real agricultural project founded by the European Commission Scientific Section, called RUC-APS.

Design/methodology/approach

The authors use management science-based tools to address circular economy in agriculture. The authors propose a multi-criteria-based methodology to assess the risks of flooding in crops areas. To validate the proposed methodology, a case example from Spain is discussed to rank different agricultural projects that pretend to mitigate the flood risks and its impacts on crop areas.

Findings

The proposed multi-criteria methodology confirmed a successful application to rank different agricultural projects that pretend to mitigate the flood risks and its impacts on crop areas. Organizations and firms in the agricultural business can use the methodology to identify risks drivers and to detect the best projects to mitigate the highest impacts of flooding risks in crops areas.

Originality/value

The authors use supply chain risks approaches to address the impacts of natural disaster on the implementation of circular economy in agriculture. The authors propose a robust multi-criteria-based methodology to assess the risks of flooding in crops areas and we used to determine the best mitigating projects to face flooding risks on crop areas.

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