240 research outputs found

    What is an emerging technology?

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    There is considerable and growing interest in the emergence of novel technologies, especially from the policy-making perspective. Yet as an area of study, emerging technologies lacks key foundational elements, namely a consensus on what classifies a technology as ’emergent’ and strong research designs that operationalize central theoretical concepts. The present paper aims to fill this gap by developing a definition of ’emerging technologies’ and linking this conceptual effort with the development of a framework for the operationalisation of technological emergence. The definition is developed by combining a basic understanding of the term and in particular the concept of ’emergence’ with a review of key innovation studies dealing with definitional issues of technological emergence. The resulting definition identifies five attributes that feature in the emergence of novel technologies. These are: (i) radical novelty, (ii) relatively fast growth, (iii) coherence, (iv) prominent impact, and (v) uncertainty and ambiguity. The framework for operationalising emerging technologies is then elaborated on the basis of the proposed attributes. To do so, we identify and review major empirical approaches (mainly in, although not limited to, the scientometric domain) for the detection and study of emerging technologies (these include indicators and trend analysis, citation analysis, co-word analysis, overlay mapping, and combinations thereof) and elaborate on how these can be used to operationalise the different attributes of emergence

    Measuring Patent-Citations of LIS Literature: An analytical study of the Journal Scientometrics

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    The purpose of this study is to analyse the utility and application of Library and Information Science (LIS) research in patents representing innovations, inventions and new knowledge. With this research, we have tried to bridge a gap between LIS research and patents, which is unavailable to date in the literature. To conduct the study, various patent search databases were used. Data in the form of DOIs were extracted from the Scopus database for the journal Scientometrics and were processed and analysed in visualisation software and spreadsheet software. The findings reveal how industries filing patents derive valuable inputs from LIS research in terms of its utilization, recognition and acceptance. This research paper will enhance the understanding regarding Library and information science, what is its value in Research and Development (R&D). Normally, it is believed that only STEM (Science, Technology, Engineering and Medical) research is fruitful for patents and innovations. The study breaks the glass ceiling as it provides an evidence-based approach to justify the LIS research does play a crucial role in the growth, development and progress of the society through its existence and proven integration with the patents. The findings reveal that LIS research is influencing Patents as they are being cited regularly with the growth in this discipline

    HEMA in the map of science

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    This article aims to place HEMA on the map of science. To be able to start this work I have to find an appropriate definition on science and on discipline (field of science). After describing main characters of a discipline I investigate HEMA if it shows this characteristic or can be recognised as an interdisciplinary field. The second question I focus on is the place of this field between disciplines and interdisciplinary topics. For this investigation I review methods of bibliometrics and scientometrics and choose a fitting method to be able to get an answer. I also choose a relevant sample of publications the chosen method can be performed on. After mapping HEMA and having result of the chosen method I try to give a picture on the development of in-field usage of HEMA-related works (how often relevant articles are cited by other HEMA-related articles)

    Detecting Emerging Technologies in Artificial Intelligence Scientific Ecosystem Using an Indicator-based Model

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    Early identification of emergent topics is of eminent importance due to their potential impacts on society. There are many methods for detecting emerging terms and topics, all with advantages and drawbacks. However, there is no consensus about the attributes and indicators of emergence. In this study, we evaluate emerging topic detection in the field of artificial intelligence using a new method to evaluate emergence. We also introduce two new attributes of collaboration and technological impact which can help us use both paper and patent information simultaneously. Our results confirm that the proposed new method can successfully identify the emerging topics in the period of the study. Moreover, this new method can provide us with the score of each attribute and a final emergence score, which enable us to rank the emerging topics with their emergence scores and each attribute score

    Barriers, trategies, and best practices for BIM Adoption in Quebec prefabrication small and medium-sized enterprises (SMEs)

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    Prefabricated construction has long faced problems due to the industry’s fragmentation. Building Information Modeling (BIM) has thus appeared as an efficient solution to provide a favorable environment for efficient completion of projects. Despite its benefits, implementing BIM successfully in small and medium-sized enterprises (SMEs), which represent the vast majority of manufacturers in Quebec, requires deep risk analysis and rigorous strategies. Hence, this work aims to study BIM implementation barriers, strategies, and best practices in wood prefabrication for SMEs through a literature review, semi-structured interviews, and an online survey. After qualitative content analysis, 30 critical barriers, 7 strategic milestones, and 31 best practices to maximize BIM benefits were revealed. One of the critical barriers concerns the effort required to develop BIM software libraries and programs to translate information from the BIM model to production equipment. Among the best strategies, it is essential to start by analyzing the current business model of the SMEs and to appoint a small BIM committee whose main responsibilities are management, coordination, and modeling. The prevalent best practices were to support the implementation team and encourage communication and collaboration. Previous studies show that BIM is not fully exploited in prefabrication for various reasons. This study highlights the critical barriers, strategies, and best practices for BIM adoption and proposes a framework for BIM implementation in prefabrication SMEs in Quebec, Canada. It also provides a summary of current knowledge and guidelines to promote BIM adoption in this sector

    Requirement-oriented core technological components’ identification based on SAO analysis

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    © 2017, Akadémiai Kiadó, Budapest, Hungary. Technologies play an important role in the survival and development of enterprises. Understanding and monitoring the core technological components (e.g., technology process, operation method, function) of a technology is an important issue for researchers to develop R&D policy and manage product competitiveness. However, it is difficult to identify core technological components from a mass of terms, and we may experience some difficulties with describing complete technical details and understanding the terms-based results. This paper proposes a Subject-Action-Object (SAO)-based method, in which (1) a syntax-based approach is constructed to extract the SAO structures describing the function, relationship and operation in specified topics; (2) a systematic method is built to extract and screen technological components from SAOs; and (3) we propose a “relevance indicator” to calculate the relevance of the technological components to requirements, and finally identify core technological components based on this indicator. Based on the considerations for requirements and novelty, the core technological components identified have great market potential and can be useful in monitoring and forecasting new technologies. An empirical study of graphene is performed to demonstrate the proposed method. The resulting knowledge may hold interest for R&D management and corporate technology strategies in practice

    Critical success factors for implementing blockchain technology in construction

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    In recent years, blockchain technology has attracted momentous attention in the construction industry. However, a state-of-the-art review of critical success factors (CSFs) for implementing blockchain technology in the construction industry is unexplored. In addition, there is no stage framework or a common set of CSFs for blockchain technology in the extant literature. Therefore, this review study aims to develop a stage framework and identify a common set of CSFs for successful blockchain technology implementation by analyzing published articles related to the studied domain. This review study adopted a systematic literature review and a science mapping approach to objectively identify a common set of CSFs, research gaps, and future research directions. Focusing on 78 journal articles retrieved from the Scopus database, influential journals, keywords, countries/regions, and documents in the domain of CSFs for blockchain technology in construction were analyzed. The results revealed that countries like China, USA, UK, and Australia have made the most contributions to this domain. Of the 22 CSFs, five main common sets for blockchain technology were (1) decentralized system (protocol), (2) transparency in data information for construction lifecycle processes, (3) ensuring data immutability, (4) increasing data security and reliability, and (5) providing full traceability of prefabrication. In the stage framework of CSFs for blockchain technology, some CSFs play an essential role throughout the entire construction life cycle processes (e.g., CSF#1 decentralized system and CSF#2 transparency in data information for construction life cycle processes). Four key research gaps and future research directions are proposed. They include (1) digital innovation, (2) smart contracts and information management, (3) intelligent construction, and (4) data analytics methods and techniques. Overall, the findings and checklist of CSFs for blockchain technology would be beneficial for successful exploration and practice in this field

    Thematic clusters in the field of gas turbine thermal management: a co-word analysis during a century

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    The research aims to visualize and analyze the co-word network and thematic clusters of the intellectual structure in gas turbine thermal management during 1919-2020. The study is applied research in terms of the purpose, which is conducted with a descriptive approach, scientometrics indicators, techniques of co-word, and social network analysis. Data analysis and visualization of the co-word network were represented by VoS­Viewer, SPSS, UCINet, and python Software. The top scientific products in the last century were related to engineering subject area and published by the USA country. Seven main clusters were identified for the index keywords, and 20 main clusters were recognized for the author keywords in Scopus regarding the network structure and thematic clusters based on the co-occurrences. Moreover, 38 clusters were identified based on the hierarchical clusters. The clusters, namely heat flux calculations and radiation effects, thermal performance optimization, and operational considerations, have central and major positions in this field and have more potential to maintain and develop themselves in the future. The future of Research and Development (R&D) activities in the area will be focused on novel cycles, heat map development, and Techno-Economic and Risk Analysis (TERA) by utilizing systematic approaches for the identification of heat sinks and sources, fluid modeling, and environmental considerations. In addition, the emerging contributors in the field will be advanced manufacturing and material considerations

    A nanotechnology strategic key research areas foresight model for improved innovation and technology transfer

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    Abstracts in English, Afrikaans and ZuluNanotechnology revolutionised industrialisation and economic development and is predicted to drive the next Schumpeterian wave of economic growth. Most countries are strategically positioning themselves to benefit from nanotechnology, being a general-purpose technology. Hence, to ensure prudent use of limited resources, countries must select and focus on key strategic nanotechnology research areas that have the potential to generate competitiveness and return on investment. However, no model currently exists on critical success factors for nanotechnology innovation management. Also, there is a lack of effective nanotechnology-specific foresight models. Furthermore, although nanotechnology foresight relates to the Multi-criteria Decision Making (MCDM) analysis, the use of MCDM methods in a foresight context has not been thoroughly explored yet. This research developed the Nanotechnology Innovation Diamond, a model for successful nanoscience research and development. The model was validated using confirmatory factor analysis (CFA) from a survey of 167 nanotechnology experts from South Africa. The results indicated that, at a 95% confidence level, the model satisfied the minimum CFA model fit requirements. The research further developed a nanotechnology-specific foresight model that integrates the Nanotechnology Innovation Diamond, technology mining, scientometrics, and the Analytical Hierarchical Process Multi-criteria Decision Making (AHP-MCDM) model. The AHP-MCDM foresight model was empirically tested in South Africa. The results showed that South Africa’s nanotechnology publications grew exponentially from 68 papers in 2000 to 1 672 in 2019, representing an increase of 2 459%. Compared to the other BRICS countries, namely, Brazil, Russia, India, and China, South Africa has the lowest nanotechnology productivity, scoring an activity index of 0.68. Universities are the most prominent publishers on nanotechnology, while the private sector has produced few publications. Only 48 patents were identified compared to 11 265 publications, and a meagre 3.5% of papers were found to report on nano-enabled products. This lack of reporting on nano-enabled products can negatively impact the commercialisation of nanotechnology. The top collaborating countries, top researchers, top institutions, and nanotechnology economic hubs are reported in this study. The key strategic research areas identified for South Africa include nanomaterials, nano-photoluminescence and optics, nanomedicine, nanocatalysis, nanoelectronics, nanobiotechnology, and energy. The results were benchmarked using an expert-survey foresight method, which gave 70% similar priority fields of research. The research contributes to the discourse on nanotechnology innovation management, technology-specific foresight methods, nanotechnology-specific foresight methods, and the utilisation of quantitative tools in foresight.Nanotegnologie het ’n omwenteling in industrialisering en ekonomiese ontwikkeling teweeggebring en daar word voorspel dat dit die volgende Schumpeterse golf van ekonomiese groei sal aandryf. Die meeste lande is besig om hulself strategies te posisioneer om uit nanotegnologie voordeel te trek, aangesien dit ’n meerdoelige tegnologie is. Om dus verstandige gebruik van beperkte hulpbronne te verseker, moet lande strategiese sleutelnavorsingsareas in nanotegnologie wat die potensiaal het om mededingendheid en opbrengs op belegging te genereer, kies en daarop fokus. Daar bestaan egter nie op die oomblik ’n model ten opsigte van kritiese suksesfaktore vir nanotegnologie-innovering-bestuur nie. Boonop is daar ’n tekort aan doeltreffende nanotegnologie-spesifieke toekomsbeplanningsmodelle. Hoewel toekomsbeplanning vir nanotegnologie verband hou met die Multi-criteria Decision Making (MCDM)-ontleding, is die gebruik van MCDM-metodes in ’n toekomsbeplanning-konteks nog nie behoorlik ondersoek nie. In hierdie navorsing is die Nanotechnology Innovation Diamond ontwikkel – ’n model vir suksesvolle nanowetenskap-navorsing en -ontwikkeling. Om die geldigheid van die model te bepaal, is bevestigende faktorontleding (CFA) van ’n opname onder 167 nanotegnologiekundiges van Suid-Afrika gebruik. Die resultate het aangetoon dat die model aan die minimum CFA-modelgeskiktheidvereistes voldoen het, met ’n 95%-vertroubaarheidsvlak. Verder het die navorsing ’n nanotegnologie-spesifieke toekomsbeplanningsmodel ontwikkel wat die Nanotechnology Innovation Diamond, tegnologie-ontginning, scientometrie, en die Analytical Hierarchical Process Multi-criteria Decision Making (AHP-MCDM) -model integreer. Die AHP-MCDM-toekomsbeplanningsmodel is empiries getoets in Suid-Afrika. Die resultate het getoon dat Suid-Afrika se nanotegnologie-publikasies eksponensieel gegroei het van 68 artikels in 2000 tot 1 672 in 2019 – dit verteenwoordig ’n toename van 2 459%. In vergelyking met die ander BRICS-lande, naamlik Brasilië, Rusland, Indië, en China, het Suid-Afrika die laagste syfer ten opsigte van nanotegnologie- produktiwiteit, met ’n bedrywigheidsindekssyfer van 0.68. Universiteite is die mees prominente uitgewers wanneer dit by nanotegnologie kom, terwyl die private sektor ’n paar publikasies opgelewer het. Slegs 48 patente is geïdentifiseer in vergelyking met 11 265 publikasies, en daar is bevind dat ’n skamele 3.5% van die artikels oor nano-geaktiveerde produkte verslag doen. Hierdie gebrek aan verslagdoening oor nano-geaktiveerde produkte kan ’n negatiewe uitwerking op die kommersialisering van nanotegnologie hê. In hierdie studie word verslag gedoen oor die lande, navorsers, instansies, en nanotegnologie- ekonomiese middelpunte wat die voortou neem. Die strategiese sleutelnavorsingsareas wat vir Suid-Afrika geïdentifiseer is, sluit nanomateriale, nano-fotoluminessensie en optika, nanomedisyne, nanokatalise, nano-elektronika, nanobiotegnologie, en energie in. Die resultate is genormeer met behulp van ’n kundige-opname-toekomsbeplanningsmetode, wat 70% soortgelyke-prioriteit-navorsingsvelde gelewer het. Die navorsing dra by tot die gesprekvoering oor nanotegnologie-innoveringsbestuur, tegnologie-spesifieke toekoms beplannings metodes, nanotegnologiespesifieke toekomsbeplanningsmetodes, en die benutting van kwantitatiewe middele in toekomsbeplanning.Igatsha lobuchwepheshe elibhekene nobukhulu nokubekezelelana liguqule ukuthuthukiswa kwezimboni nokuthuthukiswa komnotho futhi kubikezelwa ukuthi liza ngomkhulu umfutho olandelayo le-Schumpeterian lokukhula komnotho. Amazwe amaningi azibeka esimweni esifanele ukuze ahlomule egatsheni lobuchwepheshe elibhekene nobukhulu kanye nokubekezelelana kuhlobene nokuhlaziywa kocwaningo Lokwenziwa Kwezinqumo Ngemibandela eminingi (LKNE), ukusetshenziswa kwezindlela ze-LKNE esimweni elibhekene nobukhulu kanye nokubekezelelana, okuwubuchwepheshe benjongo evamile. Ngakho-ke, ukuze kuqinisekiswe ukusetshenziswa okuhlakaniphile kwezinsizakusebenza ezilinganiselwe, amazwe kufanele akhethe futhi agxile ezindaweni ezibalulekile zocwaningo lwegatsha lobuchwepheshe elibhekene nobukhulu kanye nokubekezelelana ezinamandla okukhiqiza ukuncintisana kanye nembuyiselo ekutshalweni kwezimali. Kodwa-ke, ayikho imodeli ekhona njengamanje ezicini zempumelelo ezibalulekile zokuphathwa kokusungulwa kwegatsha lobuchwepheshe elibhekene nobukhulu kanye nokubekezelelana. Futhi, kukhona ukuntuleka kwamamodeli okubona into engakenzeki aqondene negatsha lobuchwepheshe elibhekene nobukhulu kanye nokubekezelelana. Ngaphezu kwalokho, nakuba ukubona into ingakenzeki kwegatsha lobuchwepheshe sokubona izinto zingakenzeki akukahlolisiswa ngokugcwele okwamanje. Lolu cwaningo lwenze igatsha lobuchwepheshe elibhekene nobukhulu kanye nokubekezelelana kuhlobene Nokwenziwa Kwezinqumo Ngemibandela Eminingi, imodeli yocwaningo nokuthuthukiswa kwesifundo sezinto, izenzakalo esikalini senanomitha. Imodeli yaqinisekiswa kusetshenziswa ukuhlaziya isici sokuqinisekisa (UIS) ocwaningweni lochwepheshe abayi-167 beGatsha lobuchwepheshe elibhekene nobukhulu kanye nokubekezelelana baseNingizimu Afrika. Imiphumela ibonise ukuthi, ngezinga lokuzethemba elingama-95%, imodeli yanelisa ubuncane bezidingo zemodeli ye-UIS. Ucwaningo luqhubekile nokuthuthukisa imodeli yokubona okungakenzeki okuqondene neGatsha lobuchwepheshe elibhekene nobukhulu kanye nokubekezelelana ehlanganisa iGatsha lobuchwepheshe elibhekene nobukhulu kanye nokubekezelelana Kokuqamba kabusha kweDayimane , izimayini zobuchwepheshe, isayensi yamametrikhi, kanye nemodeli ye-Analytical Hierarchical Process Multi-criteria Decision Making (AHP-MCDM). Imodeli ye-AHP-MCDM yokubona okungakenzeki kwahlolwa ngokunamandla eNingizimu Afrika. Imiphumela ikhombise ukuthi izincwadi zaseNingizimu Afrika zeGatsha lobuchwepheshe elibhekene nobukhulu kanye nokubekezelelana - likhule kakhulu lisuka kumaphepha angama-68 ngonyaka wezi-2000 zaya kuyi-1 672 ngowezi-2019, nokumele ukukhula nge-2 459%. Uma kuqhathaniswa namanye amazwe e-BRICS, okuyiBrazil, Russia, India, neChina, iNingizimu Afrika inokukhiqiza okuphansi kweGatsha lobuchwepheshe elibhekene nobukhulu kanye nokubekezelelana , ithole inkomba yemisebenzi engu-0.68. Amanyuvesi abashicileli abagqama kakhulu ku-egatsheni lobuchwepheshe elibhekene nobukhulu kanye nokubekezelelana, kuyilapho imboni ezimele ikhiqize izincwadi ezimbalwa. Amalungelo obunikazi angama-48 kuphela ahlonziwe uma kuqhathaniswa nokushicilelwe okuyi-11 265, futhi kwatholakala ama-3.5% omncane wamaphepha ukubika ngemikhiqizo enikwe amandla yinano. Lokhu kuntuleka kokubika ngemikhiqizo enikwe amandla enano kungaba nomthelela omubi ekuhwebeni kwegatsha lobuchwpheshe elibhekene nobukhulu kanye nokubekezelelana. Amazwe aphezulu asebenzisanayo, abacwaningi abaphezulu, izikhungo eziphezulu, nezizinda zezomnotho zegatsha lobuchwepheshe elibhekene nobukhulu kanye nokubekezelelana kuyabikwa kulolu cwaningo. Izindawo zocwaningo zamasu ezibalulekile ezihlonzwe eNingizimu Afrika zihlanganisa izinto zenano, inano yephotholuminensi kanye ne-opthikhi, igatsha lemithi yenano, ikhathalysisi yenano, i-elektronikhi yenano, ubuchwepheshe bebhayiloji, namandla. Imiphumela yalinganiswa kusetshenziswa indlela yokuhlola kungakenzeki into yochwepheshe, enikeze ama-70% izinkambu zocwaningo ezibalulekile ezifanayo. Ucwaningo lunikela enkulumweni emayelana nokuphathwa kokusungulwa kwegatsha lobochwepheshe benano, izindlela zokubona izinto kusengaphambili eziqondene nobuchwepheshe obuthile, izindlela zokubikezela kusengaphambili eziqondene netheknoloji yenano, kanye nokusetshenziswa kwamathuluzi obuningi ekuboneni kusengaphambili.Business ManagementD. B. L

    Tracing the Pace of COVID-19 research : topic modeling and evolution

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    COVID-19 has been spreading rapidly around the world. With the growing attention on the deadly pandemic, discussions and research on COVID-19 are rapidly increasing to exchange latest findings with the hope to accelerate the pace of finding a cure. As a branch of information technology, artificial intelligence (AI) has greatly expedited the development of human society. In this paper, we investigate and visualize the on-going advancements of early scientific research on COVID-19 from the perspective of AI. By adopting the Latent Dirichlet Allocation (LDA) model, this paper allocates the research articles into 50 key research topics pertinent to COVID-19 according to their abstracts. We present an overview of early studies of the COVID-19 crisis at different scales including referencing/citation behavior, topic variation and their inner interactions. We also identify innovative papers that are regarded as the cornerstones in the development of COVID-19 research. The results unveil the focus of scientific research, thereby giving deep insights into how the academic society contributes to combating the COVID-19 pandemic. © 2021 Elsevier Inc. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Jing Ren and Feng Xia" is provided in this record*
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