Article
Business
Surajit Bag, Muhammad Sabbir Rahman
Summary: In a changing business environment, firms face challenges in achieving sustainable development goals. However, firms can make progress by adopting regenerative approaches based on circular economy principles, enabling them to pursue sustainable development objectives effectively. This study investigates the relationship between the political and SC analytics skills of top SC executives and the environmental orientation of SCs, as well as the impact of a firm's environmental orientation on SC viability. Additionally, the study examines the moderating role of a firm's AI-driven big data analytics culture in these relationships.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Gerda Zigiene, Egidijus Rybakovas, Rimgaile Vaitkiene, Vaidas Gaidelys
Summary: As supply chains become more complex globally, businesses are looking for efficient tools for managing supply-chain risk, such as business analytics, business intelligence, and artificial intelligence. The current methods for supply-chain risk management mostly rely on experts' judgments and past data, but artificial intelligence can increase objectivity and reduce human mistakes. However, the transition from business analytics to artificial intelligence in supply-chain risk management is not straightforward and requires further research to explore its conceptual grounds and implementation terms.
Article
Business
Jinou Xu, Margherita Pero, Margherita Fabbri
Summary: This paper investigates the link between BDA and supply chain planning (SCP) using the Delphi technique and presents 35 projections on the expected impact of BDA on SCP. The results provide insights for prioritizing BDA investment for SCP.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Business
Farheen Naz, Rohit Agrawal, Anil Kumar, Angappa Gunasekaran, Abhijit Majumdar, Sunil Luthra
Summary: This study examines the role of AI in establishing an SSC through a systematic literature review. The research trends in AI in SSC are analyzed and discussed, and a research framework is proposed to help researchers and practitioners develop an SSC model using AI-based techniques.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2022)
Article
Business
Surajit Bag, Pavitra Dhamija, Rajesh Kumar Singh, Muhammad Sabbir Rahman, V. Raja Sreedharan
Summary: This paper explores the significance of digitalization in healthcare supply chain in omnichannel healthcare processes, and investigates the impact of big data analytics and artificial intelligence technology on organizational performance in healthcare.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Engineering, Manufacturing
Morgan Swink, Kejia Hu, Xiande Zhao
Summary: Technology, market, and competitive dynamics are pushing restaurant/food service supply chain firms to improve their analytics capabilities. However, this industry has been lagging behind compared to other industries. Our research integrates best practices of analytics technologies and provides insights for decision-makers in restaurant supply chains. Additionally, we identify the limitations of current processes, opportunities for development, and challenges to implementation.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Industrial
Rameshwar Dubey, David J. Bryde, Cyril Foropon, Manisha Tiwari, Yogesh Dwivedi, Sarah Schiffling
Summary: The study examines the relationship between information alignment, collaboration, and supply chain agility under the moderating effects of artificial intelligence-driven big data analytics capability and intergroup leadership. The research offers insights for advancing theoretical debates on technology-driven supply chain agility and provides directions for managers engaged in disaster relief operations.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Gloria Phillips-Wren, Mary Daly, Frada Burstein
Summary: This research investigates the relationship between Business Intelligence and Analytics (BI&A) and Decision Support Systems (DSS), revealing that BI&A is essentially a subfield of DSS but has lost its connection to DSS literature, leading to missed research opportunities. By systematically reviewing foundational DSS literature, potential research opportunities for BI&A are uncovered, and new research directions are suggested based on foundational DSS literature and practitioner interviews.
DECISION SUPPORT SYSTEMS
(2021)
Article
Operations Research & Management Science
Mohammad Reza Seddigh, Sajjad Shokouhyar, Fatemeh Loghmani
Summary: This study aims to explore the influence of business intelligence capabilities on the sustainability of the company's supply chain, as well as the relationships among different BI and CSCS dimensions. The findings show that BI significantly affects the sustainability of the pharmaceutical supply chain, but has an insignificant effect on the other dimensions of CSCS. The study provides valuable insights into the obstacles to a sustainable supply chain and BI in Iranian pharmaceutical companies, and supports the UN questionnaire on supply chain sustainability.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Jing Zheng, Chaher Alzaman, Ali Diabat
Summary: This study aims to improve supply chain responsiveness by expanding production capacity to cope with changes and variations in demand. Big Data Analytics helps researchers understand the current challenges of data: high volume, high velocity, and high variety. The study uses sales data and large warehouses to investigate the three characteristics of Big Data. It introduces a working architecture to handle the challenges of Big Data and applies a neural network to detect patterns in demand. The study combines deep learning with nonlinear programming to enable flexibility in responding to forecasted demand at supply chain production facilities.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Fisheries
Mariana Cerca, Amanda Sosa, Fionnuala Murphy
Summary: To address the growing demand for seaweed in a sustainable manner, an interdisciplinary research study investigated the feasibility of scaling up seaweed aquaculture in Ireland. The study identified the responsibilities of emerging enterprises in relation to the natural environment, rural coastal communities, local actors, and customers. The study also highlighted the uncertainties and bottlenecks faced by seaweed cultivation, including site selection, licensing, seed supply, timing, and processing. The findings contribute to a comprehensive understanding of macroalgal cultivation and can guide decision-making for growers, certification bodies, and policymakers.
Article
Business
Awad Elsayed Awad Ibrahim, Ahmed A. Elamer, Amr Nazieh Ezat
Summary: This study explores the potential convergence points between big data and accounting and presents exciting research questions for future studies. By reviewing literature and proposing new ideas, the research develops new points of convergence between big data and accounting. The conclusion indicates that big data has the potential to overcome data limitations in accounting techniques and shows significant convergence with three accounting theories.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Review
Mathematics
Shiyu Liu, Ou Liu, Junyang Chen
Summary: This paper reviews the latest techniques and applications of business analytics based on existing literature, and presents the current challenges faced by business analytics and open research directions that need further consideration.
Review
Green & Sustainable Science & Technology
Dignity Paradza, Olawande Daramola
Summary: This study aims to deepen the understanding of the relationship between Business Intelligence (BI) and business value (BV), revealing the most commonly used theoretical frameworks and critical factors affecting BV derivation from BI. The study also identifies the inhibitors of BV and the most acknowledged form of BV, indicating opportunities for future research to gain a deeper understanding of BV derivation from BI.
Review
Operations Research & Management Science
Efpraxia D. Zamani, Conn Smyth, Samrat Gupta, Denis Dennehy
Summary: Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to improve supply chain resilience and resource management. However, current research in this field is scattered across different research streams. This study conducts a systematic literature review to curate and synthesize the knowledge on AI and BDA in supply chain resilience. The findings assess the current state of AI and BDA research, identify the phases of supply chain resilience that AI and BDA can improve, and synthesize the reported benefits of AI and BDA in supply chain resilience.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
G. J. Hahn, A. Leucht
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2015)
Article
Computer Science, Interdisciplinary Applications
Gerd J. Hahn, Torben Sens, Catherine Decouttere, Nico J. Vandaele
COMPUTERS & INDUSTRIAL ENGINEERING
(2016)
Article
Computer Science, Interdisciplinary Applications
Gerd J. Hahn, Marcus Brandenburg
COMPUTERS & OPERATIONS RESEARCH
(2018)
Article
Computer Science, Artificial Intelligence
G. J. Hahn, H. Kuhn
DECISION SUPPORT SYSTEMS
(2012)
Article
Engineering, Industrial
G. J. Hahn, H. Kuhn
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2012)
Article
Engineering, Industrial
G. J. Hahn, H. Kuhn
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2012)
Article
Management
G. J. Hahn, H. Kuhn
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2011)
Article
Engineering, Industrial
Florian Sahling, Gerd J. Hahn
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2019)
Article
Engineering, Industrial
Gerd J. Hahn
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2020)
Article
Engineering, Industrial
G. J. Hahn, M. Brandenburg, J. Becker
Summary: The study reveals a negative correlation between profitability and asset utilization from an internal accounting perspective, with manufacturing companies being less efficient in translating profitability into firm value compared to asset utilization. There has been a declining efficacy of value-based supply chain management approaches in manufacturing industries since 2007, which has been compensated for by overall firm value appreciation in the stock markets until 2015.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Engineering, Industrial
Gregor Blossey, Gerd J. Hahn, Achim Koberstein
Summary: In the pharmaceutical industry, supply chain efficiency is crucial due to shorter product life cycles and fierce competition. However, uncertainty in product allocations, specifically the approval process duration, can significantly impact supply chain decisions. This study develops a two-stage stochastic MILP model to address the uncertainties in demand and approval time, focusing on the secondary manufacturing stage. The results demonstrate the importance of approval times in driving optimal allocation strategies and the potential impact on upstream and downstream manufacturing stages. Furthermore, uncertain demands primarily affect global capacity provisioning, while approval times guide make-or-buy decisions.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Multidisciplinary Sciences
Marcus Brandenburg, Gerd J. Hahn
Proceedings Paper
Operations Research & Management Science
Gerd J. Hahn, Chris Kaiser, Heinrich Kuhn, Lien Perdu, Nico J. Vandaele
OPERATIONS RESEARCH PROCEEDINGS 2011
(2012)
