Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study
Authors
Keywords
-
Journal
JOURNAL OF BUSINESS RESEARCH
Volume 154, Issue -, Pages 113315
Publisher
Elsevier BV
Online
2022-09-23
DOI
10.1016/j.jbusres.2022.113315
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Data strategies for global value chains: Hybridization of small and big data in the aftermath of COVID-19
- (2022) Srinath Rengarajan et al. JOURNAL OF BUSINESS RESEARCH
- Evaluation of six methods for correcting bias in estimates from ensemble tree machine learning regression models
- (2021) K. Belitz et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Digital/Computational Technology for Molecular Cytology Testing: A Short Technical Note with Literature Review
- (2021) Robert Y. Osamura et al. ACTA CYTOLOGICA
- Advances in Secure Knowledge Management in the Artificial Intelligence Era
- (2021) Sanjay K. Sahay et al. INFORMATION SYSTEMS FRONTIERS
- Coordinating Human and Machine Learning for Effective Organization Learning
- (2021) Timo Sturm et al. MIS QUARTERLY
- Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology
- (2021) Hiroshi Yoshida et al. WORLD JOURNAL OF GASTROENTEROLOGY
- Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management
- (2021) Giustina Secundo et al. JOURNAL OF BUSINESS RESEARCH
- Employing total quality practices in sustainable supply chain management
- (2021) Asieh Soltanmohammadi et al. Sustainable Production and Consumption
- Abstract Versus Concrete: How Managers’ Construal Influences Organizational Control Systems and Problem Solving
- (2021) Bijuan Zhong et al. ORGANIZATION SCIENCE
- Preparing supply chain for the next disruption beyond COVID-19: managerial antecedents of supply chain resilience
- (2021) Ethan Nikookar et al. INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
- Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France
- (2020) M.-C. Laï et al. Journal of Translational Medicine
- Artificial Intelligence in Healthcare: Review and Prediction Case Studies
- (2020) Guoguang Rong et al. Engineering
- Supply chain sustainability and performance of firms: A meta-analysis of the literature
- (2020) Kannan Govindan et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- At the epicenter of the American Coronavirus outbreak - New York inner city hospital COVID-19 experience and current data: a retrospective analysis (Preprint)
- (2020) Vishnu R Mani et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- The advent of medical artificial intelligence: lessons from the Japanese approach
- (2020) Euma Ishii et al. Journal of Intensive Care
- Data-Driven Charging Demand Prediction at Public Charging Stations Using Supervised Machine Learning Regression Methods
- (2020) Ahmad Almaghrebi et al. Energies
- Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
- (2020) Julia Amann et al. BMC Medical Informatics and Decision Making
- Omnichannel retailing: The role of situational involvement in facilitating consumer experiences
- (2020) Tzyh-Lih Hsia et al. INFORMATION & MANAGEMENT
- For a critical appraisal of artificial intelligence in healthcare: The problem of bias in mHealth
- (2020) Nicolas Brault et al. JOURNAL OF EVALUATION IN CLINICAL PRACTICE
- Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing
- (2019) Guanghui Zhou et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Emergency department resilience to disaster‐level overcrowding: A component resilience framework for analysis and predictive modeling
- (2019) Zachary Davis et al. JOURNAL OF OPERATIONS MANAGEMENT
- A review of the literature on big data analytics in healthcare
- (2019) Panagiota Galetsi et al. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
- A study on investments in the big data-driven supply chain, performance measures and organisational performance in Indian retail 4.0 context
- (2019) Shradha A. Gawankar et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Emerging Frontiers in Smart Environment and Healthcare – A Vision
- (2019) Satyen Mukherjee INFORMATION SYSTEMS FRONTIERS
- Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations
- (2019) Rameshwar Dubey et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Concurrence of big data analytics and healthcare: A systematic review
- (2018) Nishita Mehta et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Impact of cloud-based information sharing on hospital supply chain performance: A system dynamics framework
- (2018) Cigdem Gonul Kochan et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics
- (2018) Dmitry Ivanov et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Advanced Customer Analytics: Strategic Value Through Integration of Relationship-Oriented Big Data
- (2018) Brent Kitchens et al. JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
- m-Health 2.0: New perspectives on mobile health, Machine Learning and Big Data Analytics
- (2018) Robert S.H. Istepanian et al. METHODS
- Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap
- (2018) Samayita Guha et al. PRODUCTION AND OPERATIONS MANAGEMENT
- Multichannel Signal Detection Based on Wald Test in Subspace Interference and Gaussian Noise
- (2018) Weijian Liu et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Research in Operations Management and Information Systems Interface
- (2018) Subodha Kumar et al. PRODUCTION AND OPERATIONS MANAGEMENT
- Artificial intelligence in healthcare
- (2018) Kun-Hsing Yu et al. Nature Biomedical Engineering
- Lean supply chain management: Empirical research on practices, contexts and performance
- (2017) Guilherme Luz Tortorella et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Addressing the endogeneity dilemma in operations management research: Theoretical, empirical, and pragmatic considerations
- (2017) Mikko Ketokivi et al. JOURNAL OF OPERATIONS MANAGEMENT
- An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective
- (2017) Ravi Srinivasan et al. PRODUCTION AND OPERATIONS MANAGEMENT
- DEMATEL-modified ANP to evaluate internal hospital supply chain performance
- (2016) Tuangyot Supeekit et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Testing the Difference Between Reliability Coefficients Alpha and Omega
- (2016) Lifang Deng et al. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT
- Big data and analytics in healthcare: Introduction to the special section
- (2016) Atreyi Kankanhalli et al. INFORMATION SYSTEMS FRONTIERS
- Demand chain management: Relationships between external antecedents, web-based integration and service innovation performance
- (2014) Alain Yee-Loong Chong et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Impact of Seasonal and Pandemic Influenza on Emergency Department Visits, 2003-2010, Ontario, Canada
- (2013) Dena L. Schanzer et al. ACADEMIC EMERGENCY MEDICINE
- Sources of Method Bias in Social Science Research and Recommendations on How to Control It
- (2011) Philip M. Podsakoff et al. Annual Review of Psychology
- Coefficients Alpha, Beta, Omega, and the glb: Comments on Sijtsma
- (2008) William Revelle et al. PSYCHOMETRIKA
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started