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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Tekoälyn tukemat dynaamiset kyvykkyydet digitaalisten liiketoimintamallien muuttamiseksi älykkäiksi liiketoimintamalleiksi
No full textAbstractAI as the most important general-purpose technology of the day with its innumerable possibilities is on its way to become a key technology for the digital transformation. Algorithms especially for ML usually perform various tasks outstandingly. Hybrid models of AI, if put into business models, would help in improving the match making between actors of the ecosystems. However, many aspiring digital platforms lack effective strategies to establish profitable digital business models. Emerging digital healthcare market is shifting from traditional hospital-centric care to a more virtual, and personalized care that heavily leverages the latest technologies around AI, DL, DA, genomics, home-based healthcare, robotics, and three-dimensional printing of tissue and implants. This emerging digital healthcare market requires a profound, yet little understood perspective of transformation of digital business model by identifying the AI-enabled dynamic capabilities that could serve as a strong competitive differentiator. This understanding would help in value capture and value creation for companies who are developing digital platform to pull insights from data, and secure competitive advantage. The aim of this dissertation is to identify the AI-enabled dynamic capabilities that companies need for the transformation of their digital business models to smart business models in the emerging digital healthcare market. The findings of the study reveal that orchestration as one of the AI-enabled dynamic capabilities could be categorized as Capability to install desired information behaviors and values, Leadership capabilities, Capability to develop appropriate information management processes, and Information analytics capabilities. Also, these dynamic capabilities could be categorized as assisting, augmenting, and automating meaning that taking specific orchestrator roles (e.g., operational role implementation or role switching, role augmentation, and role automation). These three important observations are aligned with the preceding discussions in the literatures and utilizing them would explicate how different types of dynamic capabilities allow orchestrators to adopt different roles and succeed in conducting the focal activities of a company. However, the goal of this study is not to integrate or bridge specific paradigms, but to identify the AI-enabled dynamic capabilities. So, this dissertation further argues and conclude that the digital business model is a higher-level strategic AI-enabled dynamic capability that can serve as a tool for sensing, seizing, and transforming in the company business ecosystems through opportunity exploration and exploitation, value creation and capture, advantage exploration and exploitation functions to respond to the company’s digital business model transformation. Businesses can move along these two identified AI-enabled dynamic capabilities (digital business model itself and orchestration) for the transformation of their current digital business models from AI perspective and target smart business model vision in the emerging digital healthcare market. Effective and efficient implementation of AI in the transformation of the companies’ digital business models would enhance the competitiveness of many businesses. However, it won’t help some other businesses drive value, opportunity, and advantage by improving the process through automation to win the market. In most cases, AI augments rather than replacing the human effort.TiivistelmäTekoäly on nykypäivän tärkeimpiä yleiskäyttöisiä teknologioita ja sen lukemattomat mahdollisuudet ovat tulossa digitaalisen muutoksen avaintekijöiksi. Esimerkiksi koneoppimiseen tarkoitetut algoritmit suorittavat jo merkittäviä tehtäviä. Tekoälyn hybridimallit, jos ne yhdistetään liiketoimintamalleihin, auttavat parantamaan liiketoimintaekosysteemin toimijoiden yhteensovittamista. Monilta kehittyviltä digitaalisilta alustoilta puuttuu kuitenkin tehokkaita strategioita tekoälyperustaisten digitaalisten liiketoimintamallien luomiseksi. Sellaiset markkinat kuin terveydenhuolto ovat avautumassa ja siirtymässä perinteisestä sairaalakeskeisestä toiminnasta virtuaalisempaan ja yksilöllisempään suuntaan, pyrkien hyödyntämään uusinta teknologiaa juuri tekoälyn mutta myös syväoppimisen, data-analytiikan, genomiikan, kotihoidon, robotiikan ja kolmiulotteisen kudosten ja implanttien tulostuksen muodossa. Nämä markkinat edellyttävät syvällistä mutta vielä vähän ymmärrettyä ja kokonaisvaltaista näkökulmaa älykkäiden liiketoimintamallien omaksumiseen. Tämä edellyttää, että tunnistetaan ne tärkeimmät dynaamiset kyvykkyydet, jotka voivat toimia vahvoina kilpailutekijöinä yrityksille, jotka kehittävät digitaalisia alustoja saadakseen sekä näkemyksiä datasta että turvatakseen kilpailuetunsa. Tämän tutkimuksen tavoitteena onkin tunnistaa kyvykkyydet, joita yritykset tarvitsevat muuttaakseen digitaalisia liiketoimintamallejaan älykkäiksi terveydenhuollon markkinoilla. Tutkimuksen tulokset osoittavat, että liiketoimintaekosysteemien orkestrointi on yksi tärkeimmistä tällaisista kyvykkyyksistä. Se voidaan hahmottaa kyvyksi ohjata tietokäyttäytymistä ja arvoja, johtamiskyvykkyyksiksi ja kyvyksi kehittää tarpeellisia tiedonhallintaprosesseja ja tiedon analysointikeinoja. Kyvykkyydet voitaisiin myös luokitella avustaviksi, täydentäviksi ja automatisoiviksi, mikä tarkoittaa esimerkiksi tiettyjen orkestrointiroolien ottamista ja toteuttamista tai roolin vaihtoa, lisäystä ja automatisointia. Tämä on hyvin linjassa aiemmissa tutkimuksissa esitettyjen johtopäätösten kanssa, mutta kyvykkyyksiin paneutuminen selventää, miten ne mahdollistavat orkestroijien erilaiset roolit ja onnistumisen niissä. Tutkimuksen tavoitteena ei kuitenkaan ole uppoutua tiettyihin rooleihin, vaan tunnistaa tekoälyn mahdollistamat kyvykkyydet digitaalisen liiketoimintamallin muutoksessa älykkääksi liiketoimintamalliksi. Tutkimuksessa päätellään, että älykäs liiketoimintamalli on yrityksen korkean tason strateginen kyvykkyys. Se voi toimia keinona liiketoimintapotentiaalin havaitsemiseen, sellaiseen tarttumiseen ja liiketoiminnan muuttamiseen niin, että mahdollisuudet hyödynnetään arvon luomiseksi ja nauttimiseksi. Yritykset voivat älykkään liiketoimintamallin ja ekosysteemisen orkestrointikyvykkyytensä avulla kehittää vision pärjätäkseen muuttuvilla terveydenhuollon markkinoilla. Vaikka älykäs liiketoimintamalli parantaisi monen yrityksen kilpailukykyä, se ei kuitenkaan mahdollisesti auta aivan kaikkia luomaan mahdollisuuksia ja arvoa ja tuottamaan uusia automatisoituja prosesseja. Useimmissa tapauksissa tekoäly lisäksi täydentää ihmisen työtä sen sijaan, että se korvaisi työn tekemisen kokonaan.20th Oct 2023, Online defense sessionAbstract
AI as the most important general-purpose technology of the day with its innumerable possibilities is on its way to become a key technology for the digital transformation. Algorithms especially for ML usually perform various tasks outstandingly. Hybrid models of AI, if put into business models, would help in improving the match making between actors of the ecosystems. However, many aspiring digital platforms lack effective strategies to establish profitable digital business models. Emerging digital healthcare market is shifting from traditional hospital-centric care to a more virtual, and personalized care that heavily leverages the latest technologies around AI, DL, DA, genomics, home-based healthcare, robotics, and three-dimensional printing of tissue and implants. This emerging digital healthcare market requires a profound, yet little understood perspective of transformation of digital business model by identifying the AI-enabled dynamic capabilities that could serve as a strong competitive differentiator. This understanding would help in value capture and value creation for companies who are developing digital platform to pull insights from data, and secure competitive advantage. The aim of this dissertation is to identify the AI-enabled dynamic capabilities that companies need for the transformation of their digital business models to smart business models in the emerging digital healthcare market. The findings of the study reveal that orchestration as one of the AI-enabled dynamic capabilities could be categorized as Capability to install desired information behaviors and values, Leadership capabilities, Capability to develop appropriate information management processes, and Information analytics capabilities. Also, these dynamic capabilities could be categorized as assisting, augmenting, and automating meaning that taking specific orchestrator roles (e.g., operational role implementation or role switching, role augmentation, and role automation). These three important observations are aligned with the preceding discussions in the literatures and utilizing them would explicate how different types of dynamic capabilities allow orchestrators to adopt different roles and succeed in conducting the focal activities of a company. However, the goal of this study is not to integrate or bridge specific paradigms, but to identify the AI-enabled dynamic capabilities. So, this dissertation further argues and conclude that the digital business model is a higher-level strategic AI-enabled dynamic capability that can serve as a tool for sensing, seizing, and transforming in the company business ecosystems through opportunity exploration and exploitation, value creation and capture, advantage exploration and exploitation functions to respond to the company’s digital business model transformation. Businesses can move along these two identified AI-enabled dynamic capabilities (digital business model itself and orchestration) for the transformation of their current digital business models from AI perspective and target smart business model vision in the emerging digital healthcare market. Effective and efficient implementation of AI in the transformation of the companies’ digital business models would enhance the competitiveness of many businesses. However, it won’t help some other businesses drive value, opportunity, and advantage by improving the process through automation to win the market. In most cases, AI augments rather than replacing the human effort.Tiivistelmä
Tekoäly on nykypäivän tärkeimpiä yleiskäyttöisiä teknologioita ja sen lukemattomat mahdollisuudet ovat tulossa digitaalisen muutoksen avaintekijöiksi. Esimerkiksi koneoppimiseen tarkoitetut algoritmit suorittavat jo merkittäviä tehtäviä. Tekoälyn hybridimallit, jos ne yhdistetään liiketoimintamalleihin, auttavat parantamaan liiketoimintaekosysteemin toimijoiden yhteensovittamista. Monilta kehittyviltä digitaalisilta alustoilta puuttuu kuitenkin tehokkaita strategioita tekoälyperustaisten digitaalisten liiketoimintamallien luomiseksi. Sellaiset markkinat kuin terveydenhuolto ovat avautumassa ja siirtymässä perinteisestä sairaalakeskeisestä toiminnasta virtuaalisempaan ja yksilöllisempään suuntaan, pyrkien hyödyntämään uusinta teknologiaa juuri tekoälyn mutta myös syväoppimisen, data-analytiikan, genomiikan, kotihoidon, robotiikan ja kolmiulotteisen kudosten ja implanttien tulostuksen muodossa. Nämä markkinat edellyttävät syvällistä mutta vielä vähän ymmärrettyä ja kokonaisvaltaista näkökulmaa älykkäiden liiketoimintamallien omaksumiseen. Tämä edellyttää, että tunnistetaan ne tärkeimmät dynaamiset kyvykkyydet, jotka voivat toimia vahvoina kilpailutekijöinä yrityksille, jotka kehittävät digitaalisia alustoja saadakseen sekä näkemyksiä datasta että turvatakseen kilpailuetunsa. Tämän tutkimuksen tavoitteena onkin tunnistaa kyvykkyydet, joita yritykset tarvitsevat muuttaakseen digitaalisia liiketoimintamallejaan älykkäiksi terveydenhuollon markkinoilla. Tutkimuksen tulokset osoittavat, että liiketoimintaekosysteemien orkestrointi on yksi tärkeimmistä tällaisista kyvykkyyksistä. Se voidaan hahmottaa kyvyksi ohjata tietokäyttäytymistä ja arvoja, johtamiskyvykkyyksiksi ja kyvyksi kehittää tarpeellisia tiedonhallintaprosesseja ja tiedon analysointikeinoja. Kyvykkyydet voitaisiin myös luokitella avustaviksi, täydentäviksi ja automatisoiviksi, mikä tarkoittaa esimerkiksi tiettyjen orkestrointiroolien ottamista ja toteuttamista tai roolin vaihtoa, lisäystä ja automatisointia. Tämä on hyvin linjassa aiemmissa tutkimuksissa esitettyjen johtopäätösten kanssa, mutta kyvykkyyksiin paneutuminen selventää, miten ne mahdollistavat orkestroijien erilaiset roolit ja onnistumisen niissä. Tutkimuksen tavoitteena ei kuitenkaan ole uppoutua tiettyihin rooleihin, vaan tunnistaa tekoälyn mahdollistamat kyvykkyydet digitaalisen liiketoimintamallin muutoksessa älykkääksi liiketoimintamalliksi. Tutkimuksessa päätellään, että älykäs liiketoimintamalli on yrityksen korkean tason strateginen kyvykkyys. Se voi toimia keinona liiketoimintapotentiaalin havaitsemiseen, sellaiseen tarttumiseen ja liiketoiminnan muuttamiseen niin, että mahdollisuudet hyödynnetään arvon luomiseksi ja nauttimiseksi. Yritykset voivat älykkään liiketoimintamallin ja ekosysteemisen orkestrointikyvykkyytensä avulla kehittää vision pärjätäkseen muuttuvilla terveydenhuollon markkinoilla. Vaikka älykäs liiketoimintamalli parantaisi monen yrityksen kilpailukykyä, se ei kuitenkaan mahdollisesti auta aivan kaikkia luomaan mahdollisuuksia ja arvoa ja tuottamaan uusia automatisoituja prosesseja. Useimmissa tapauksissa tekoäly lisäksi täydentää ihmisen työtä sen sijaan, että se korvaisi työn tekemisen kokonaan
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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