Enablers of artificial intelligence adoption and implementation in production systems

Article Management

Artificial intelligence for supply chain resilience: learning from Covid-19

Sachin Modgil et al.

Summary: This study explores how firms utilize AI to enhance supply chain resilience. The findings highlight five critical areas where AI can contribute to strengthening supply chain resilience.

INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT (2022)

Add to Collection

Article Engineering, Industrial

Adoption of AI-empowered industrial robots in auto component manufacturing companies

Rajasshrie Pillai et al.

Summary: The research suggests that factors like perceived compatibility, external pressure, perceived benefits, and support from vendors are critical predictors of Industrial Robots adoption in Auto Component Manufacturing Companies (ACMCs), while IT infrastructure and government support do not influence adoption intention.

PRODUCTION PLANNING & CONTROL (2022)

Add to Collection

Article Engineering, Industrial

Artificial intelligence and food security: swarm intelligence of AgriTech drones for smart AgriFood operations

Konstantina Spanaki et al.

Summary: The study proposes a solution to food security problems by utilizing Artificial Intelligence techniques and drone swarms, specifically aiming to improve productivity on inaccessible lands using AgriTech drones. The research also highlights the potential challenges triggered by the application of AI in agriculture.

PRODUCTION PLANNING & CONTROL (2022)

Add to Collection

Article Engineering, Industrial

Critical success factors influencing artificial intelligence adoption in food supply chains

Manoj Dora et al.

Summary: This study explores the key success factors influencing the adoption of AI in the Indian food supply chain, with findings highlighting technology readiness, security, privacy, customer satisfaction, perceived benefits, demand volatility, regulatory compliance, competitor pressure, and information sharing as significant factors. The use of a conceptual framework and the SWARA technique provide valuable insights for AI technology providers, supply chain specialists, and government agencies to promote AI adoption in the food supply chain sector.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2022)

Add to Collection

Article Engineering, Industrial

Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework

Amine Belhadi et al.

Summary: AI offers a promising solution for building more resilient supply chains, but the literature lacks a decision-making framework for applying powerful AI techniques in supply-chain management. This study proposes an integrated MCDM technique powered by AI-based algorithms to identify patterns in AI techniques for developing SCRes strategies. Fuzzy logic programming, machine learning big data, and agent-based systems are identified as the most promising techniques for promoting SCRes strategies.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2022)

Add to Collection

Article Engineering, Industrial

Blockchain adoption in operations and supply chain management: empirical evidence from an emerging economy

Maciel M. Queiroz et al.

Summary: This study in the Brazilian context examines the adoption behavior of blockchain technology in operations and supply chain management. The research findings highlight that facilitating conditions, trust, social influence, and effort expectancy significantly impact BCT adoption, while performance expectancy is unexpectedly not a decisive factor. The study contributes to advancing theory and providing important managerial insights for supply chains, particularly in emerging economies.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2021)

Add to Collection

Article Business

Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model

Sheshadri Chatterjee et al.

Summary: In the context of digital manufacturing and production organizations, leadership support plays a critical role as a moderating factor to facilitate the adoption of artificial intelligence embedded technology. The results indicate that organizational readiness, organizational compatibility, and partner support have significant influences on the perceived ease of use, highlighting the importance of these factors in the adoption process.

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2021)

Add to Collection

Article Business

Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context

Rameshwar Dubey et al.

Summary: The COVID-19 pandemic disrupted global supply chains, with sudden changes and impact far beyond what most people have experienced. The study found that alliance management capability and artificial intelligence-driven supply chain analytics capability have a positive impact on operational and financial performance of organizations.

INDUSTRIAL MARKETING MANAGEMENT (2021)

Add to Collection

Review Engineering, Industrial

Artificial intelligence applications in supply chain management

Mehrdokht Pournader et al.

Summary: This paper provides a systematic review of AI applications in supply chain management, identifying past and present research states and offering guidance for future studies. The analysis reveals that learning methods are gaining momentum while sensing and interacting methods present an emerging research area.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2021)

Add to Collection

Article Business

Evaluating the critical success factors of data intelligence implementation in the public sector using analytical hierarchy process

Mohammad Merhi

Summary: This study identified and evaluated fourteen critical success factors for implementing data intelligence in the public sector, categorizing them into organization, process, and technology. Using the analytical hierarchy process, the study found that technology is the most important category, with project management, information systems & data, and data quality being the most crucial factors among all fourteen. The implications of the analysis for practitioners and researchers are discussed in the paper.

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2021)

Add to Collection

Article Business

An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance

Surajit Bag et al.

Summary: This study investigates the impact of big data powered artificial intelligence on customer knowledge creation, user knowledge creation, and external market knowledge creation in B2B marketing, with a focus on its influence on rational decision making and firm performance. The findings suggest significant relationships between artificial intelligence and knowledge creation paths, leading to implications for B2B marketing decision making and company success.

INDUSTRIAL MARKETING MANAGEMENT (2021)

Add to Collection

Review Business

Artificial intelligence in supply chain management: A systematic literature review

Reza Toorajipour et al.

Summary: This study aims to identify the contributions of AI to SCM through a systematic review of existing literature, highlighting both current and potential AI techniques in SCM, as well as identifying gaps that need to be addressed through further scientific research. Insights provided through systematic analysis and synthesis offer a comprehensive understanding of the impact of AI on SCM.

JOURNAL OF BUSINESS RESEARCH (2021)

Add to Collection

Article Engineering, Industrial

The critical success factors of using social media for supply chain social sustainability in the freight logistics industry

Ifeyinwa Juliet Orji et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2020)

Add to Collection

Article Engineering, Industrial

Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations

Rameshwar Dubey et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2020)

Add to Collection

Article Engineering, Industrial

A framework for food supply chain digitalization: lessons from Thailand

Pichawadee Kittipanya-ngam et al.

PRODUCTION PLANNING & CONTROL (2020)

Add to Collection

Review Operations Research & Management Science

Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review

Maciel M. Queiroz et al.

ANNALS OF OPERATIONS RESEARCH (2020)

Add to Collection

Article Information Science & Library Science

Effective and efficient usage of big data analytics in public sector

Mohammad I. Merhi et al.

TRANSFORMING GOVERNMENT- PEOPLE PROCESS AND POLICY (2020)

Add to Collection

Article Information Science & Library Science

Understanding Country Level Adoption of E-Commerce: A Theoretical Model Including Technological, Institutional, and Cultural Factors

Punit Ahluwalia et al.

JOURNAL OF GLOBAL INFORMATION MANAGEMENT (2020)

Add to Collection

Review Engineering, Industrial

Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience

Dmitry Ivanov et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

Add to Collection

Article Engineering, Industrial

Blockchain technology and its relationships to sustainable supply chain management

Sara Saberi et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

Add to Collection

Article Public Administration

Artificial Intelligence and the Public Sector-Applications and Challenges

Bernd W. Wirtz et al.

INTERNATIONAL JOURNAL OF PUBLIC ADMINISTRATION (2019)

Add to Collection

Article Information Science & Library Science

Artificial intelligence for decision making in the era of Big Data - evolution, challenges and research agenda

Yanqing Duan et al.

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2019)

Add to Collection

Review Management

Review of application of analytic hierarchy process (AHP) in construction

Amos Darko et al.

INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT (2019)

Add to Collection

Article Management

Leveraging open-standard interorganizational information systems for process adaptability and alignment An empirical analysis

Xiaodie Pu et al.

INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT (2019)

Add to Collection

Review Computer Science, Information Systems

Understanding the Factors Affecting the Organizational Adoption of Big Data

Shiwei Sun et al.

JOURNAL OF COMPUTER INFORMATION SYSTEMS (2018)

Add to Collection

Review Cell Biology

Artificial intelligence, physiological genomics, and precision medicine

Anna Marie Williams et al.

PHYSIOLOGICAL GENOMICS (2018)

Add to Collection

Editorial Material Multidisciplinary Sciences

Governing artificial intelligence: ethical, legal and technical opportunities and challenges Introduction

Corinne Cath

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2018)

Add to Collection

Article Information Science & Library Science

Working and organizing in the age of the learning algorithm

Samer Faraj et al.

INFORMATION AND ORGANIZATION (2018)

Add to Collection

Article Business

Influence of big data adoption on manufacturing companies' performance: An integrated DEMATEL-ANFIS approach

Elaheh Yadegaridehkordi et al.

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2018)

Add to Collection

Article Engineering, Industrial

How some types of risk assessments can support resilience analysis and management

Terje Aven

RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Integrated technology-organization-environment (T-O-E) taxonomies for technology adoption

Hart O. Awa et al.

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT (2017)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Perceived strategic value-based adoption of Big Data Analytics in emerging economy A qualitative approach for Indian firms

Surabhi Verma et al.

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT (2017)

Add to Collection

Article Green & Sustainable Science & Technology

An investigation on lean-green implementation practices in Indian SMEs using analytical hierarchy process (AHP) approach

Shashank Thanki et al.

JOURNAL OF CLEANER PRODUCTION (2016)

Add to Collection

Article Information Science & Library Science

Understanding mobile marketing adoption intention by South African SMEs: A multi-perspective framework

Daniel K. Maduku et al.

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2016)

Add to Collection

Article Medical Informatics

Applying the Analytic Hierarchy Process in healthcare research: A systematic literature review and evaluation of reporting

Katharina Schmidt et al.

BMC MEDICAL INFORMATICS AND DECISION MAKING (2015)

Add to Collection

Article Engineering, Industrial

Importance of issues related to RFID-enabled healthcare transformation projects: results from a Delphi study

Samuel Fosso Wamba et al.

PRODUCTION PLANNING & CONTROL (2015)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Understanding determinants of cloud computing adoption using an integrated TAM-TOE model

Hemlata Gangwar et al.

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT (2015)

Add to Collection

Article Engineering, Industrial

Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications

Benjamin T. Hazen et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2014)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Cloud computing adoption by SMEs in the north east of England A multi-perspective framework

Yazn Alshamaila et al.

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT (2013)

Add to Collection

Article Engineering, Industrial

Use of analytic hierarchy process (AHP) for selection of 3PL providers

Tugrul U. Daim et al.

JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT (2012)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Understanding e-business adoption across industries in European countries

Tiago Oliveira et al.

INDUSTRIAL MANAGEMENT & DATA SYSTEMS (2010)

Add to Collection

Review Management

Artificial intelligence in supply chain management: theory and applications

Hokey Min

INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS (2010)

Add to Collection

Article Management

Adopters and non-adopters of e-procurement in Singapore: An empirical study

Thompson S. H. Teo et al.

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2009)

Add to Collection

Article Engineering, Industrial

Hybrid prequalification-based, innovative contracting model using AHP

Osama Abudayyeh et al.

JOURNAL OF MANAGEMENT IN ENGINEERING (2007)

Add to Collection

Article Automation & Control Systems

Fuzzy analytical hierarchy process for evaluating and selecting a vendor in a supply chain model

A. Noorul Haq et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2006)

Add to Collection

Article Engineering, Industrial

The influence of EDI adoption over its perceived benefits

J Jimenez-Martinez et al.

TECHNOVATION (2004)

Add to Collection

Article Computer Science, Information Systems

A perception-based model for EDI adoption in small businesses using a technology-organization-environment framework

KKY Kuan et al.

INFORMATION & MANAGEMENT (2001)

Add to Collection

Enablers of artificial intelligence adoption and implementation in production systems

Related references

Export Citation

Share Paper