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Journal articles on the topic 'Cloud based supply chain management'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Giannakis, Mihalis, Konstantina Spanaki, and Rameshwar Dubey. "A cloud-based supply chain management system: effects on supply chain responsiveness." Journal of Enterprise Information Management 32, no. 4 (2019): 585–607. http://dx.doi.org/10.1108/jeim-05-2018-0106.

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Purpose Despite the ongoing calls for the incorporation of the cloud utility model, the effect of the cloud on elements of supply chain performance is still an evolving area of research. The purpose of this paper is to develop the architecture of a cloud-based supply chain management (C-SCM) ecosystem and explore how it enhances supply chain responsiveness (SCR). Design/methodology/approach First, the authors discuss the potential benefits that cloud computing can yield, compared to existing mature SCM information systems and solutions through a comprehensive literature review. The authors con

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Jede, Andreas, and Frank Teuteberg. "Towards cloud-based supply chain processes." International Journal of Logistics Management 27, no. 2 (2016): 438–62. http://dx.doi.org/10.1108/ijlm-09-2014-0139.

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Purpose – There are cloud computing (CC) services available for various applications within the supply chain management (SCM). These services offer, for example, consistent global networking platforms and enable quick decision making, which may strengthen competitive advantages. The specification of the single-related elements and the coordination mechanisms between actors and information flows is complex. In this paper, the authors argue that reference models can accelerate understanding these processes. The purpose of this paper is to gain an understanding of the current state of the underly

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Truong, Dothang. "Efficiency and Risk Management Models for Cloud-Based Solutions in Supply Chain Management." International Journal of Business Analytics 2, no. 2 (2015): 14–30. http://dx.doi.org/10.4018/ijban.2015040102.

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Cloud computing has been proven to have numerous benefits for organizations, especially in supply chain management. More and more organizations have adopted cloud-based solutions to be their primary sourcing applications. Nevertheless, this technology is not without challenges, and in order to deploy and implement cloud-based solutions successfully with minimal risks organizations need to have practical guidance on this emerging technology. Despite the rapid growth of cloud computing in supply chain areas, the existing literature is still conceptual, inadequate, and mainly focused on the pre-a

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Shee, Himanshu, Shah Jahan Miah, Leon Fairfield, and Nyoman Pujawan. "The impact of cloud-enabled process integration on supply chain performance and firm sustainability: the moderating role of top management." Supply Chain Management: An International Journal 23, no. 6 (2018): 500–517. http://dx.doi.org/10.1108/scm-09-2017-0309.

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PurposeTheorising from the intersection of supply chain and information systems (IS) literature, this study aims to investigate supply chain integration (SCI) as a multidimensional construct in the context of cloud-based technology and explores the effect of cloud-enabled SCI on supply chain performance, which will eventually improve firm sustainability from a resource-based view (RBV). In addition, the moderating effect of top management is explored.Design/methodology/approachUsing cross-sectional survey data collected from a sample of 105 Australian retail firms, this study used structural e

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Schniederjans, Dara G., Koray Ozpolat, and Yuwen Chen. "Humanitarian supply chain use of cloud computing." Supply Chain Management: An International Journal 21, no. 5 (2016): 569–88. http://dx.doi.org/10.1108/scm-01-2016-0024.

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Purpose The purpose of this paper is to examine the impact of cloud computing (CC) use on collaboration and its ultimate impact on the agility of humanitarian supply chains. Further, this paper aims to analyze the moderating role of inter-organizational trust in the relationship between CC use and collaboration. Design/methodology/approach This paper provides an empirical assessment of CC use based on an interview analysis of 19 individuals from humanitarian organizations. A survey questionnaire is later used with 107 participants from US relief organizations. Partial least squares test is use

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Shirzad Talatappeh, Sahra, and Ali Lakzi. "Developing a model for investigating the impact of cloud-based systems on green supply chain management." Journal of Engineering, Design and Technology 18, no. 4 (2019): 741–60. http://dx.doi.org/10.1108/jedt-06-2019-0161.

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Purpose Cloud computing is one of the technologies that improves performance and reduces costs in companies through flexible and easy access to computational resources. Supply chain management is one of the widespread and unlimited computing resources. Applying cloud computing to the green supply chain will eliminate constraints and speed up the implementation of various chain processes. Therefore, this paper aims to present a model and framework for assessing the impact of cloud computing on green supply chain management, which improves the performance of the resulting system in comparison wi

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Zhang, Fuan, and Zhenzhi Gong. "Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things." Mathematical Problems in Engineering 2021 (February 23, 2021): 1–12. http://dx.doi.org/10.1155/2021/6670718.

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With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip

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Kasemsap, Kijpokin. "Adopting Cloud Computing in Global Supply Chain." International Journal of Social and Organizational Dynamics in IT 4, no. 2 (2015): 49–62. http://dx.doi.org/10.4018/ijsodit.2015070105.

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The objective of this article is to review the adoption of cloud computing in global supply chain. The literature review describes the overviews of cloud computing and supply chain management (SCM); the emerging trends of cloud computing in global supply chain; and the adoption of cloud computing in global supply chain. The findings suggest that cloud-based supply chain represents a network of interconnected organizations in the cloud computing area involved in the provision of products and services required by customers. The advent of cloud computing services as well as their steady improveme

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Yan, Junwei, Sijin Xin, Quan Liu, et al. "Intelligent Supply Chain Integration and Management Based on Cloud of Things." International Journal of Distributed Sensor Networks 10, no. 3 (2014): 624839. http://dx.doi.org/10.1155/2014/624839.

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Jamal, S. M. Khalid, A. Omer, and Asiya Abdus Salam Qureshi. "Cloud Computing Solution and Services for RFID Based Supply Chain Management." Advances in Internet of Things 03, no. 04 (2013): 79–85. http://dx.doi.org/10.4236/ait.2013.34011.

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Chen, Yun, Lian Duan, and Weiyong Zhang. "Effect of User Involvement in Supply Chain Cloud Innovation." Journal of Global Information Management 28, no. 1 (2020): 23–38. http://dx.doi.org/10.4018/jgim.2020010102.

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Cloud innovation has become increasingly important to supply chain innovation and performance. User involvement is a crucial part of cloud innovation. However, the effect of user involvement in supply chain cloud innovation has not been thoroughly studied, particularly its effect on product cost and optimal price. In this paper, the authors attempted to bridge this major gap in the literature. The authors reviewed the relevant literature to define cloud innovation and user involvement in supply chain cloud innovation. Then the authors developed a game model based on the Bertrand model. Analysi

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Jiang, Nan, Erlin Tian, Fattaneh Daneshmand Malayeri, and Alireza Balali. "A new model for investigating the impact of urban knowledge, urban intelligent transportation systems and IT infrastructures on the success of SCM systems in the distributed organizations." Kybernetes 49, no. 11 (2020): 2799–818. http://dx.doi.org/10.1108/k-04-2019-0288.

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Purpose A fundamental concept of the smart city is to get the right information at the right place to make city-related decisions easier and quicker. The main goal of supply chain management (SCM) systems is to enhance the supply chain process for delivering the identified products to customers correctly in distributed organizations. In addition, new IT infrastructure such as cloud-based systems and internet of things (IoT) have changed many organizations and firms. Hence, this study aims to assess the factors that contribute to the success of SCM systems. Design/methodology/approach In this p

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Zulfa, Nafa, Hafara Firdausi, and Rakha Asyrofi. "CLOUTIDY: A CLOUD-BASED SUPPLY CHAIN MANAGEMENT SYSTEM USING SEMAR AND BLOCKCHAIN SYSTEM." JUTI: Jurnal Ilmiah Teknologi Informasi 18, no. 2 (2020): 68. http://dx.doi.org/10.12962/j24068535.v18i2.a937.

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Xing, Ke, Wei Qian, and Atiq Uz Zaman. "Development of a cloud-based platform for footprint assessment in green supply chain management." Journal of Cleaner Production 139 (December 2016): 191–203. http://dx.doi.org/10.1016/j.jclepro.2016.08.042.

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Wong, Simon, John-Kun-Woon Yeung, Yui-Yip Lau, and Joseph So. "Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management." Sustainability 13, no. 15 (2021): 8270. http://dx.doi.org/10.3390/su13158270.

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Knowing the challenges of keeping and manipulating more and more immutable transaction records in a blockchain network of various supply chain parties and the opportunities of leveraging sophisticated analyses on the big data generated from these records, design of a robust blockchain architecture based on a cloud infrastructure is proposed. This paper presents this technical design with consideration of the technical sustainability in terms of scalability and big data processing and analytics. A case study was used to illustrate how the technical sustainability is achieved by applying the pro

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Laxmi, Aishwarya Raj, and Ayaskanta Mishra. "Automation in supply chain management system using Internet of Things (IoT)." International Journal of Engineering & Technology 7, no. 2 (2018): 777. http://dx.doi.org/10.14419/ijet.v7i2.10746.

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An automated Supply Chain Management (SCM) System includes the real-time GPS position tracking of transport fleets as well as a RFID based shipment tracking at the entry and exit point of the warehouse. This paper has proposed a system architecture and implementation of the same using Arduino and SIM808 based GPS position tracking system for constrained power application. A Raspberry Pi and RC522 RFID Reader is used for a MQTT based shipment tracking system at the warehouse. Integration of both the modules makes a comprehensive Automated Supply Chain Management System, which can be used by log

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Akyuz, Goknur Arzu, and Mohammad Rehan. "A Generic, Multi-Period and Multi-Partner Cost Optimizing Model for Cloud-Based Supply Chain." International Journal of Cloud Applications and Computing 6, no. 2 (2016): 55–63. http://dx.doi.org/10.4018/ijcac.2016040106.

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Cloud technology in a multi-enterprise, collaborative context is one of the most promising topics at IT-Supply Chain (SC) intersection. Cloud comes with well-proven advantages and cost savings; enabling collaboration and business intelligence. Cloud transition is still on-going with individual enterprise-level transitions. However, collaborative paradigm dictates that entire network well-being is to be considered over enterprise-level concerns. Thus, handling the transition of a single enterprise is not sufficient for strategic network leverage. Planning and managing across multiple enterprise

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SONG, Yan, Shuang YAO, Donghua YU, and Yan SHEN. "RISKY MULTI-CRITERIA GROUP DECISION MAKING ON GREEN CAPACITY INVESTMENT PROJECTS BASED ON SUPPLY CHAIN." Journal of Business Economics and Management 18, no. 3 (2017): 355–72. http://dx.doi.org/10.3846/16111699.2017.1331461.

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Green capacity investment projects have rapidly emerged involving suppliers, customers, and manufacturing organizations in supply chain systems with environmental challenges. This paper focuses on and identifies both primary strategic and operational elements that will aid managers in evaluating and making risky multi-criteria decisions on green capacity investment projects. We propose a cloud prospect value consensus process consisting of feedback and adjustment mechanisms that provide modification instructions to the corresponding decision makers for a decision matrix based on the cloud mode

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Tsang, Y. P., K. L. Choy, C. H. Wu, G. T. S. Ho, Cathy H. Y. Lam, and P. S. Koo. "An Internet of Things (IoT)-based risk monitoring system for managing cold supply chain risks." Industrial Management & Data Systems 118, no. 7 (2018): 1432–62. http://dx.doi.org/10.1108/imds-09-2017-0384.

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PurposeSince the handling of environmentally sensitive products requires close monitoring under prescribed conditions throughout the supply chain, it is essential to manage specific supply chain risks, i.e. maintaining good environmental conditions, and ensuring occupational safety in the cold environment. The purpose of this paper is to propose an Internet of Things (IoT)-based risk monitoring system (IoTRMS) for controlling product quality and occupational safety risks in cold chains. Real-time product monitoring and risk assessment in personal occupational safety can be then effectively est

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Pan, Yong Ming, Yun Li Tong, and Guan Xu Mi. "The Loan Pricing Study of Supply Chain Finance Based on Cloud Muster Warehouse (CMW)." Applied Mechanics and Materials 462-463 (November 2013): 940–43. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.940.

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The CMW loan-pricing model is established by RAROC (risk adjusted return on capital) with consideration of performance measurement and risk management. The model was presumed interest income as all revenue and credit risk of economic capital the only risk. Model parameters were calculated with large amounts of processed data by cloud computing and internet of things. By donging this, financial institutions determined loan interest rates provided to SMEs (small and medium enterprises) in financing mode of CMW.

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Mustafee, Navonil, Korina Katsaliaki, and Simon J. E. Taylor. "Distributed Approaches to Supply Chain Simulation." ACM Transactions on Modeling and Computer Simulation 31, no. 4 (2021): 1–31. http://dx.doi.org/10.1145/3466170.

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The field of Supply Chain Management (SCM ) is experiencing rapid strides in the use of Industry 4.0 technologies and the conceptualization of new supply chain configurations for online retail, sustainable and green supply chains, and the Circular Economy. Thus, there is an increasing impetus to use simulation techniques such as discrete-event simulation, agent-based simulation, and hybrid simulation in the context of SCM. In conventional supply chain simulation, the underlying constituents of the system like manufacturing, distribution, retail, and logistics processes are often modelled and e

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Yan, Qingyou, Meijuan Zhang, Wei Li, and Guangyu Qin. "Risk Assessment of New Energy Vehicle Supply Chain Based on Variable Weight Theory and Cloud Model: A Case Study in China." Sustainability 12, no. 8 (2020): 3150. http://dx.doi.org/10.3390/su12083150.

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In order to protect the environment and reduce energy consumption, new energy vehicles have begun to be vigorously promoted in various countries. In recent years, the rise of intelligent technology has had a great impact on the supply chain of new energy vehicles, which, coupled with the complexity of the supply chain itself, puts it at great risk. Therefore, it is quite indispensable to evaluate the risk of the new energy vehicle supply chain. This paper assesses the risks faced by China’s new energy vehicle supply chain in this period of technological transformation. First of all, this paper

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Treiblmaier, Horst, and Patrick Mair. "Textual Data Science for Logistics and Supply Chain Management." Logistics 5, no. 3 (2021): 56. http://dx.doi.org/10.3390/logistics5030056.

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Background: Researchers in logistics and supply chain management apply a multitude of methods. So far, however, the potential of textual data science has not been fully exploited to automatically analyze large chunks of textual data and to extract relevant insights. Methods: In this paper, we use data from 19 qualitative interviews with supply chain experts and illustrate how the following methods can be applied: (1) word clouds, (2) sentiment analysis, (3) topic models, (4) correspondence analysis, and (5) multidimensional scaling. Results: Word clouds show the most frequent words in a body o

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Annisya and Emy Haryatmi. "Implementasi Teknologi Blockchain Proof of Work Pada Penelusuran Supply Chain Produk Komputer." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 5, no. 3 (2021): 446–55. http://dx.doi.org/10.29207/resti.v5i3.3068.

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In recent times, the supply chain has developed into a large ecosystem. Various products moving from party to party require cooperation between stakeholders in managing the data generated. The problem is that every company has its own transaction records that can be inconsistent and their storage is centralized and not integrated between companies. This makes transaction records easy to falsify. Efficient data management is needed from the producer to the store so that consumers can trust the product. Therefore, the authors designed a product tracking system using blockchain by implementing pr

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Zhuang, Zhang, Wang, and Hu. "Optimal Logistics Control of an Omnichannel Supply Chain." Sustainability 11, no. 21 (2019): 6014. http://dx.doi.org/10.3390/su11216014.

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This paper aims to find the best way to control logistics in an omnichannel supply chain (OSC). For this purpose, two steps of work were carried out around case-based reasoning (CBR). In the first step, the combined feedback which proved stability was selected to control logistics in the single node, while the variational method and the virtual siphon were combined to determine the optimal control curve. There is a linear part and a nonlinear part in the combined feedback. The new method of storing data mode is “data turning to picture”. In the second step, image features were extracted by the

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Oncioiu, Bunget, Türkeș, et al. "The Impact of Big Data Analytics on Company Performance in Supply Chain Management." Sustainability 11, no. 18 (2019): 4864. http://dx.doi.org/10.3390/su11184864.

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Big data analytics can add value and provide a new perspective by improving predictive analysis and modeling practices. This research is centered on supply-chain management and how big data analytics can help Romanian supply-chain companies assess their experience, strategies, and professional capabilities in successfully implementing big data analytics, as well as assessing the tools needed to achieve these goals, including the results of implementation and performance achievement based on them. The research method used in the quantitative study was a sampling survey, using a questionnaire as

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Szymczak, Maciej, Urszula Ryciuk, Dorota Leończuk, et al. "KEY FACTORS FOR INFORMATION INTEGRATION IN THE SUPPLY CHAIN – MEASUREMENT, TECHNOLOGY AND INFORMATION CHARACTERISTICS." Journal of Business Economics and Management 19, no. 5 (2018): 759–76. http://dx.doi.org/10.3846/jbem.2018.6359.

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This paper aims to identify key factors related to information management and integration in the supply chain (SC). The initial set of factors was identified in the literature, namely, information quality and content, performance metrics, and information technologies. The construct was then tested empirically using the sample of 200 Polish companies. Computer-Assisted Telephone Interviews (CATI) were based on a structured questionnaire, then, data exploratory factor analysis (EFA) was performed. The conducted EFA determined four main factors for information management and integration in the su

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Ali, Syed Imran, Abdilahi Ali, Muhanad AlKilabi, and Michael Christie. "Optimal supply chain design with product family: A cloud-based framework with real-time data consideration." Computers & Operations Research 126 (February 2021): 105112. http://dx.doi.org/10.1016/j.cor.2020.105112.

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Gupta, Shivam, Sameer Kumar, Sanjay Kumar Singh, Cyril Foropon, and Charu Chandra. "Role of cloud ERP on the performance of an organization." International Journal of Logistics Management 29, no. 2 (2018): 659–75. http://dx.doi.org/10.1108/ijlm-07-2017-0192.

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PurposeCloud-based enterprise resource planning (ERP) enables an organization to pay for the services they need and removes the need to maintain information technology infrastructure. The purpose of this paper is to empirically test the role of cloud-based ERP services on the performance of an organization. Here, the performance is categorized as supply chain performance and organizational performance that comprises of financial performance and marketing performance. Contingent resource-based view (RBV) theory was used to develop a theoretical framework in which supply base complexity (SBC) ac

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Irfan, Muhammad, and Mingzheng Wang. "Data-driven capabilities, supply chain integration and competitive performance." British Food Journal 121, no. 11 (2019): 2708–29. http://dx.doi.org/10.1108/bfj-02-2019-0131.

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Purpose The purpose of this paper is to analyze the effects of data-driven capabilities on supply chain integration (SCI) and competitive performance of firms in the food and beverages (F & B) industry in Pakistan. Design/methodology/approach The authors adopt the structural equation modeling approach to test the proposed hypotheses using AMOS 23. Survey data were collected from 240 firms in the F & B industry in Pakistan. Findings The results revealed that SCI (i.e. internal integration (II) and external integration (EI)) significantly mediates the effect of data-driven capabilities (

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Dey, Somdip, Suman Saha, Amit Kumar Singh, and Klaus McDonald-Maier. "FoodSQRBlock: Digitizing Food Production and the Supply Chain with Blockchain and QR Code in the Cloud." Sustainability 13, no. 6 (2021): 3486. http://dx.doi.org/10.3390/su13063486.

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Food safety is an important issue in today’s world. The traditional agri-food production system does not offer easy traceability of the produce at any point of the supply chain, and hence, during a food-borne outbreak, it is very difficult to sift through food production data to track produce and the origin of the outbreak. In recent years, the blockchain based food production system has resolved this challenge; however, none of the proposed methodologies makes the food production data easily accessible, traceable and verifiable by consumers or producers using mobile/edge devices. In this pape

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Giusti, Riccardo, Chiara Iorfida, Yuanyuan Li, et al. "Sustainable and De-Stressed International Supply-Chains Through the SYNCHRO-NET Approach." Sustainability 11, no. 4 (2019): 1083. http://dx.doi.org/10.3390/su11041083.

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Synchro-modal supply chain eco-NET (SYNCHRO-NET) is a Horizon 2020 European research project aimed at overcoming the stress due to the increasing transportation distances, the higher complexity, and the vulnerability of international supply chains. In order to foster sustainability, quality, and reliability of such supply chains, SYNCHRO-NET mainly exploits the impact and the possible benefits coming from slow/smart-steaming and synchro-modality transportation strategies, and the related business models. The aim of this paper is to summarize and disseminate the main developments and scientific

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McIsaac, Joseph, Joseph Brulle, John Burg, Gregory Tarnacki, Christian Sullivan, and Rick Wassel. "Blockchain Technology for Disaster and Refugee Relief Operations." Prehospital and Disaster Medicine 34, s1 (2019): s106. http://dx.doi.org/10.1017/s1049023x1900222x.

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Introduction:Blockchain is a distributed ledger technology for storing and transmitting information (value) that is secure, verifiable, and auditable. Two specific use-case opportunities exist, identity management and payment systems.Aim:A secure and auditable solution for disaster refugee support.Methods:Gap analysis, literature search, and synthesis using existing technologies.Results:Strategy foundation: A blockchain identity management system that utilizes the Hyperledger Fabric framework; identification on a large scale, in a distributed model that provides immutable record capabilities t

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AlGhazzawi, Nooradeen Adel, and Nouf Essam Katooa. "Vision 2030 of Cloud Enterprise Resource Planning Systems (CERPS) in the Kingdom of Saudi Arabia." Int'l Journal of Management Innovation Systems 4, no. 1 (2019): 1. http://dx.doi.org/10.5296/ijmis.v4i1.14644.

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Saudi businesses rely on effective data management to trade along their internal and external supply (value) chains and must continually monitor and upgrade legacy data systems. To understand these processes, this study explores the experiences of six diverse Saudi firms as case studies: an air transport data system, vertical integration of global firms' subsidiaries, a value chain system, and entrepreneurs taking advantage of cloud opportunities. Rather than following the literature in focusing on the decision making steps to upgrade organizational data-based resources, this research consider

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Yao, Shuang, Donghua Yu, Yan Song, Hao Yao, Yuzhen Hu, and Benhai Guo. "Dry Bulk Carrier Investment Selection through a Dual Group Decision Fusing Mechanism in the Green Supply Chain." Sustainability 10, no. 12 (2018): 4528. http://dx.doi.org/10.3390/su10124528.

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Uncertain linguistic variables and scoring evaluations are two important evaluation mechanisms in the decision making field. Sustainability requirements for ship investment lead to the complexity of influence factors and the decision making process. The uncertain linguistic assessment features a large amount of ambiguity and subjectivity, while the scoring evaluation features high precision and distinct gradations. This paper constructs a criteria system in the green supply chain and proposes a dual group decision fusing mechanism for integrating the linguistic variable and scoring evaluation

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Christauskas, Ceslovas, and Regina Miseviciene. "Cloud–Computing Based Accounting for Small to Medium Sized Business." Engineering Economics 23, no. 1 (2012): 14–21. http://dx.doi.org/10.5755/j01.ee.23.1.1220.

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Small to medium sized business enterprises are young and constantly changing their sphere of activities depending on fluctuations of the market. The enterprises daily use accounting information, which is used in enterprise’s financial situation evaluation, correct decisions making, enterprise’s financial situation analysis according to the results received, making plans for future and controlling the whole enterprise. Accounting information systems play a significant role in providing the financial information for decision making within an organization. The systems are simultaneously providing

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Hibino, Hironori, and Masaru Nakano. "Mini Special Issue on Smart Manufacturing." International Journal of Automation Technology 11, no. 1 (2017): 3. http://dx.doi.org/10.20965/ijat.2017.p0003.

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Industry 4.0, a new industry initiative in Germany, is impacting strongly both on industry and on society. Many newspapers and technical magazines are publishing the state of the art articles on topics such as smart manufacturing based on IoT (Internet of Things), CPPS (Cyber Physical Production System), and cloud-based systems. Other parts of the world have started initiatives such as the IIC (Industrial Internet Consortium) in the US and the IVI (Industrial Value Chain Initiative) in Japan. Smart manufacturing is the key concept underlying these new initiatives. This special issue addresses

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Tankovic, Nikola, and Tihana Galinac-Grbac. "Run-time interpretation of information system application models in mobile cloud environments." Computer Science and Information Systems 17, no. 1 (2020): 1–27. http://dx.doi.org/10.2298/csis180829021t.

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Application models are commonly used in the development of information systems. Recent trends have introduced techniques by which models can be directly transformed into execution code and thus become a single source for application design. Inherently, it has been challenging for software developers to become proficient in designing entire systems due to the complex chain of model transformations and the further refinements required to the code generated from the models. We propose an architectural framework for building the distributed information system applications in which the application

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Kong, Xiang T. R., Ray Y. Zhong, Gangyan Xu, and George Q. Huang. "Robot-enabled execution system for perishables auction logistics." Industrial Management & Data Systems 117, no. 9 (2017): 1954–71. http://dx.doi.org/10.1108/imds-03-2016-0114.

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Purpose The purpose of this paper is to propose a concept of cloud auction robot (CAR) and its execution platform for transforming perishable food supply chain management. A new paradigm of goods-to-person auction execution model is proposed based on CARs. This paradigm can shift the management of traditional manual working to automated execution with great space and time saving. A scalable CAR-enabled execution system (CARES) is presented to manage logistics workflows, tasks and behavior of CAR-Agents in handling the real-time events and associated data. Design/methodology/approach An Interne

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Dwivedi, Sanjeev Kumar, Priyadarshini Roy, Chinky Karda, Shalini Agrawal, and Ruhul Amin. "Blockchain-Based Internet of Things and Industrial IoT: A Comprehensive Survey." Security and Communication Networks 2021 (August 23, 2021): 1–21. http://dx.doi.org/10.1155/2021/7142048.

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Industry 4.0 connects the latest technologies such as cloud computing, Internet of things (IoT), machine learning and artificial intelligence (ML/AI), and blockchain to provide more automation in the industrial process and also bridges the gap between the physical and digital worlds through the cyber-physical system. The inherent feature of IoT devices creates the industry to smart industry (referred to as industrial IoT, i.e., IIoT) through its data-driven decision policies. However, several challenges such as decentralization, security and privacy vulnerability, single point of failure (SPOF

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Junge, Anna Lisa. "Digital transformation technologies as an enabler for sustainable logistics and supply chain processes – an exploratory framework." Brazilian Journal of Operations & Production Management 16, no. 3 (2019): 462–72. http://dx.doi.org/10.14488/bjopm.2019.v16.n3.a9.

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Goal: The aim is to present a literature review for identifying digital transformation technologies (DTT) for manufacturing and pointing out their capabilities and applications. Furthermore, the paper lays out an exploratory framework to depict the impact scope of the cases on logistics and supply chain management (L&SCM) processes. Design / Methodology / Approach: The identification of relevant DTTs and their capabilities is based on a systematic literature review. The exploratory framework builds upon Industry 4.0 concepts and frameworks as well as the conditions for sustainable di

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Bressanelli, Gianmarco, Nicola Saccani, Marco Perona, and Irene Baccanelli. "Towards Circular Economy in the Household Appliance Industry: An Overview of Cases." Resources 9, no. 11 (2020): 128. http://dx.doi.org/10.3390/resources9110128.

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Circular Economy is a means to ensure sustainable production and consumption patterns. However, it is still at an embryonic stage of implementation in manufacturing companies. Given its potential, the household appliance industry is a promising arena for the adoption of Circular Economy. Thus, this study aims to investigate and systematize how Circular Economy has been adopted in the household appliance industry, through a multiple case study research. Twenty cases are analyzed following a Research Framework, to map: (i) the Circular Economy 4R strategies of reduce, reuse, remanufacture and re

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Kim, Tae-eun, Amit Sharma, Morten Bustgaard, et al. "The continuum of simulator-based maritime training and education." WMU Journal of Maritime Affairs 20, no. 2 (2021): 135–50. http://dx.doi.org/10.1007/s13437-021-00242-2.

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AbstractThe COVID-19 pandemic has brought unprecedented challenges to the maritime supply chain and called for accelerated adoption of digital technologies in various aspects of maritime operations, including the area of maritime education and training (MET). This paper aims to discuss the current maritime simulator-based training and educational practices that forms an integral part in seafarer training and competency development. The study provides a review of the existing simulators in use in MET, and discusses upon the technological and pedagogical advancement of maritime simulator-based t

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Ahmad, Naim, and Rashid Mehmood. "Enterprise systems: are we ready for future sustainable cities." Supply Chain Management: An International Journal 20, no. 3 (2015): 264–83. http://dx.doi.org/10.1108/scm-11-2014-0370.

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Purpose – This paper aims to revisit the adoption reasons of enterprise systems (ES) and supply chain management systems (SCMS) and to explore the new dimensions of sustainability required to be added in the whole process of adoption of these systems. Moreover, it aims to explore the benefits of ES to organizations and to relate these benefits to the ES adoption in future sustainable city settings. Future cities will have micro-industries requiring dynamic interactions and will be dependent on efficient supply chains. The recent developments in information and communications technology (ICT) s

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Angeles, Rebecca. "Internet of Things (IOT)-Enabled Product Monitoring at Steadyserv." Journal of Cases on Information Technology 21, no. 4 (2019): 27–45. http://dx.doi.org/10.4018/jcit.2019100103.

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This qualitative case study features SteadyServ, a beer inventory monitoring solution vendor, and its internet of things (IOT)-based radio frequency identification (RFID)-enabled technology solution. IOT-based information technology systems are powering new business models and innovative cloud-supported solutions addressing use cases in many industries. At this early stage, IOT is taking off in monitoring premises, products, supply chains, and customers. Content analysis of primary and secondary data was used to interpret this firm's RFID-enabled IOT solution's deployment at the firm's custome

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Su, Wei-Hao, Kai-Ying Chen, Louis Y. Y. Lu, and Jen-Jen Wang. "Knowledge Development Trajectories of the Radio Frequency Identification Domain: An Academic Study Based on Citation and Main Paths Analysis." Applied Sciences 11, no. 18 (2021): 8254. http://dx.doi.org/10.3390/app11188254.

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The study collected papers on radio frequency identification (RFID) applications from an academic database to explore the topic’s development trajectory and predict future development trends. Overall, 3820 papers were collected, and citation networks were established on the basis of the literature references. Main path analysis was performed on the networks to determine the development trajectory of RFID applications. After clustering into groups, the results are twenty clusters, and six clusters with citation counts of more than 200 were obtained. Cluster and word cloud analyses were conducte

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Gentile, Sabrina, Francesco Di Paola, Domenico Cimini, et al. "3D-VAR Data Assimilation of SEVIRI Radiances for the Prediction of Solar Irradiance in Italy Using WRF Solar Mesoscale Model—Preliminary Results." Remote Sensing 12, no. 6 (2020): 920. http://dx.doi.org/10.3390/rs12060920.

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Solar power generation is highly fluctuating due to its dependence on atmospheric conditions. The integration of this variable resource into the energy supply system requires reliable predictions of the expected power production as a basis for management and operation strategies. This is one of the goals of the Solar Cloud project, funded by the Italian Ministry of Economic Development (MISE)—to provide detailed forecasts of solar irradiance variables to operators and organizations operating in the solar energy industry. The Institute of Methodologies for Environmental Analysis of the National

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Witczak-Roszkowska, Danuta. "Cyfryzacja polskich przedsiębiorstw na tle wybranych krajów europejskich." Nierówności społeczne a wzrost gospodarczy 65, no. 1 (2021): 90–108. http://dx.doi.org/10.15584/nsawg.2021.1.5.

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The article attempts to assess the level of use of information technologies in Polish enterprises against the background of selected European countries. This original research has shown inequalities in the use of information technologies by enterprises from European countries. Based on the results of the research, it was ascertained that the level of use of information and communication technologies by Polish enterprises is low. Poland was placed 24th in the ranking of countries covered by the study. A weakness of Polish enterprises is the relatively low level of use of cloud computing service

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Stanisławski, Robert, and Andrzej Szymonik. "Impact of Selected Intelligent Systems in Logistics on the Creation of a Sustainable Market Position of Manufacturing Companies in Poland in the Context of Industry 4.0." Sustainability 13, no. 7 (2021): 3996. http://dx.doi.org/10.3390/su13073996.

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Within the broadly understood concept of Industry 4.0, many intelligent systems featuring artificial intelligence are used. Their importance in recent years has been growing. That can be attributed to a number of notable advantages these systems provide, including the possibility of expanding the manufacturer’s offer, greater customization of products, which facilitates reaching niche markets, as well as better internal and/or external communication (between the company and the consumer). Six such systems are brought into focus: The Internet of Things, Data Base, Cloud Computing, Blockchain, S

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Peng, Wenjie, Daizhong Su, and Shuyi Wang. "Development of an Innovative ICT Infrastructure for an Eco-Cost System with Life Cycle Assessment." Sustainability 13, no. 6 (2021): 3118. http://dx.doi.org/10.3390/su13063118.

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A novel Internet-based information communication technology (ICT) infrastructure for an eco-accounting system was successfully developed to deliver “EcoCosts”, which are the values of environmental impact throughout the product life cycle. The ICT infrastructure manages its internal elements and interacts with operation modules in the supply chain via Web-based service interfaces. The infrastructure consists of upperware, middleware, and resource layers. The upperware layer manipulates the middleware elements (cloud-based load balancing, life cycle assessment, Web-based services, and Radio Fre

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