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نتیجه جستجو - Scientometrics

تعداد مقالات یافته شده: 4
ردیف عنوان نوع
1 Evolution of Quantum Computing: Theoretical and Innovation Management Implications for Emerging Quantum Industry
تکامل محاسبات کوانتومی: مفاهیم مدیریت نظری و نوآوری برای صنعت کوانتومی در حال ظهور-2022
Quantum computing is a vital research field in science and technology. One of the fundamental questions hardly known is how quantum computing research is developing to support scientific advances and the evolution of path-breaking technologies for economic, industrial, and social change. This study confronts the question here by applying methods of computational scientometrics for publication analyses to explain the structure and evolution of quantum computing research and technologies over a 30-year period. Results reveal that the evolution of quantum computing from 1990 to 2020 has a considerable average increase of connectivity in the network (growth of degree centrality measure), a moderate increase of the average influence of nodes on the flow between nodes (little growth of betweenness centrality measure), and a little reduction of the easiest access of each node to all other nodes (closeness centrality measure). This evolutionary dynamics is due to the increase in size and complexity of the network in quantum computing research over time. This study also suggests that the network of quantum computing has a transition from hardware to software research that supports accelerated evolution of technological pathways in quantum image processing, quantum machine learning, and quantum sensors. Theoretical implications of this study show the morphological evolution of the network in quantum computing from a symmetric to an asymmetric shape driven by new inter-related research fields and emerging technological trajectories. Findings here suggest best practices of innovation management based on R&D investments in new technological directions of quantum computing having a high potential for growth and impact in science and markets.
Index Terms: Innovation management | quantum algorithms | quantum computing (QC) | quantum network | technological change | technological paradigm | technological trajectories.
مقاله انگلیسی
2 Uncovering research streams on agri-food supply chain management: A bibliometric study
کشف جریانهای تحقیق در مورد مدیریت زنجیره تأمین مواد غذایی کشاورزی: یک مطالعه کتابشناختی-2021
This study carried out a bibliometric analysis to critically review the evolution of the agri-food supply chain (AFSC) research field over the period of 2008–2019. A set of 1236 articles was analyzed from the Web of Science database. Besides using different analytical scientometric tools (topic mapping, co-citation, co-authorship and overlay visualization networks), this study identified frequently-used keywords, new and hot research topics and frequently-studied supply chain management (SCM) practices. Frequently used keywords are food supply chain, food waste, sustainability, food safety, SCM, food industry, and food security. New research themes include contract, blockchain, internet of things, resilience, and short food supply chain, a topic that demands further research especially due to the international COVID-19 pandemic and the need of farmers to be closer to the consumers. Hot research topics, that is, subjects that have been studied in highly cited papers were also identified include life cycle assessment, environmental impact, packaging, water use, food waste prevention, food waste generation, blockchain and carbon footprint. Among SCM practices, this study observed that risk and sustainable SCM are frequently used keywords. Procurement and reverse logistics were observed in fewer studies. SCM, food waste, food quality, GHG emissions and risk management are sustainable SCM practices frequently observed.
Keywords: Agri-food supply chain | Bibliometric analysis | Co-authorship | Co-citation analysis | Scientometrics | Supply chain management practices
مقاله انگلیسی
3 Blockchain and Internet of Things: A bibliometric study
بلاکچین و اینترنت اشیا : یک مطالعه کتابشناختی-2019
Blockchain is a distributed, decentralized and immutable digital ledger which records transactions across a global network of computers where the information is highly secure. Since its merger with other domains has solved numerous relevant problems, it has poten- tial to resolve the issues of privacy and security in the domain of Internet of Things (IoT). IoT is reshaping the world into smart cities, smart farming, smart grids, smart transport, smart home, and smart healthcare systems. Thus, application of Blockchain in the domain of IoT gives birth to a new domain of Blockchain in IoT (BIoT). This research presents a bibliometric analysis of articles in BIoT domain, covering papers published in top jour- nals and conferences, and finds research trends. It also explores diverse research areas, the most influential publications, top publication venues, top funding agencies and future re- search direction. This research can be a good learning point for young researchers to find attractive relevant research insights within BIoT.
Keywords: Blockchain | Internet of things | Bibliometric study | BIoT | Web of science | Scientometrics
مقاله انگلیسی
4 Capturing the Collaboration Intensity of Research Institutions Using Social Network Analysis
گرفتن توانایی همکاری موسسات پژوهش با استفاده از تجزیه و تحلیل شبکه های اجتماعی-2017
The relevance of collaborations among scientists is growing steadily in order to address complex research problems. On the basis of research institutions this trend of increased collaboration is being shaped through interdisciplinary research centres, institutional networks or centres of excellence. The identification and promotion of collaborative research within the own university has become a crucial part of strategic planning. Using CRIS-Data as enrichment for decision-making seems to be a practical and obvious approach since in this environment research information across all disciplines are getting consolidated explicitly. In the field of scientometrics examining research collaboration with methods taken from the social network analysis is widely accepted. Instead of analysing the macro-level of science, this paper deals with the potential benefits of using methods from the social network analysis in providing quantitative information about the intra-organizational collaboration for purposes of research management.
Keywords: quantitative measurement of CRIS Data | intra-organizational research collaboration | strategic planning | social network analysis
مقاله انگلیسی
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