342 research outputs found

    Tradition and Innovation in Construction Project Management

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    This book is a reprint of the Special Issue 'Tradition and Innovation in Construction Project Management' that was published in the journal Buildings

    Computer Vision and Architectural History at Eye Level:Mixed Methods for Linking Research in the Humanities and in Information Technology

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    Information on the history of architecture is embedded in our daily surroundings, in vernacular and heritage buildings and in physical objects, photographs and plans. Historians study these tangible and intangible artefacts and the communities that built and used them. Thus valuableinsights are gained into the past and the present as they also provide a foundation for designing the future. Given that our understanding of the past is limited by the inadequate availability of data, the article demonstrates that advanced computer tools can help gain more and well-linked data from the past. Computer vision can make a decisive contribution to the identification of image content in historical photographs. This application is particularly interesting for architectural history, where visual sources play an essential role in understanding the built environment of the past, yet lack of reliable metadata often hinders the use of materials. The automated recognition contributes to making a variety of image sources usable forresearch.<br/

    Adapting omnichannel strategies to answer post-pandemic consumers' evolved in-store shopping expectations

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    Technology-infused omnichannel strategies have solidified their role in the turbulent environment of retailing. The advantages of such retailing approaches have been recognised during the interminable rise of e-commerce in the past decades, but the physical resurgence of consumers after the global pandemic evolved omnichannel expectations to new standards. Now, consumers desire a blend of online convenience in physical stores, driving retailers to adapt their technological capabilities to ensure seamless in-store shopping experiences. Because omnichanneling has become a necessity, retailers need to possess the understanding of providing valuable customer journeys. To offer insights and perspectives around the novel shift in physical retailing, this thesis was conducted as a two-case study, examining two retail giants that have emerged from opposite sides, the physical-first Target and online-dominant Amazon. To gain recent knowledge from the two companies, mainly qualitative secondary data was collected from diverse online sources, which were scrutinised employing content analysis and thematic synthesis. The longitudinal time horizon allowed for a progressive viewpoint to be constructed regarding the evolving dynamics between online and offline channels, and the role of technological implementations. The results of this thesis firstly sum up the expectations of consumers that have evolved pre- and post-pandemic, mainly the pursuit of convenience, continuity, and hedonistic aspects. Furthermore, this thesis explores various innovative technological features and how they can be integrated into physical stores to support seamless omnichannel expectations. In line with the results, the thesis suggests that most widely adapted technologies within case companies are scattered between the many phases of the shopping journey, either designed to complement the shopping experience by enhancing the favoured attributes, make the in-store interactions and steps more autonomous, or automate back-end operations. These technologies can be joined as a part of cohesive omnichannel experiences to contribute to borderless channel integration, all-inclusive offerings, and personalisation. The findings demonstrate that both case companies have explicit connections with theoretical frameworks. Along with the findings and synthesis, this thesis reinforces the discourse of post- pandemic omnichannel experiences and supplies real-life examples of diverse strategic uses of in-store technologies.Teknologiapohjaiset omnikanavastrategiat ovat vakiinnuttaneet asemansa vähittäiskaupan epävakaassa ympäristössä. Tällaisten vähittäismyyntitapojen edut ovat tiedostettu viime vuosikymmeninä verkkokaupankäynnin jatkuvan nousun aikana, mutta kuluttajien fyysinen palaaminen maailmanlaajuisen pandemian jälkeen nosti omnikanavaodotukset uusiin standardeihin. Nykyään kuluttajat mielivät yhdistelmiä verkkokaupan etuja fyysisissä myymälöissä, mikä ajaa vähittäismyyjiä mukauttamaan teknologisia valmiuksiaan varmistaakseen saumattoman ostoskokemuksen myymälässä. Koska omnikanavointi on muodostunut välttämättömyydeksi, vähittäismyyjien on ymmärrettävä, miten tarjota arvokkaita asiakasmatkoja. Tarjotakseen näkemyksiä ja perspektiivejä fyysisen vähittäiskaupan tuoreesta muutoksesta, tämä pro gradu -tutkielma toteutettiin tapaustutkimuksena tarkastellen kahta vastakkaiset lähtökohdat omaavaa vähittäiskaupan jättiläistä, kivijalkalähtöistä Targetia ja verkkovaltaista Amazonia. Molemmista yrityksistä hankittiin ajantasaista tietoa, pääasiassa laadullista sekundääridataa monipuolisista verkkolähteistä, jotka tarkasteltiin sisällönanalyysin ja teemasynteesin avulla. Pitkittäistutkimuksen aikajänne mahdollisti progressiivisen näkökulman muodostamisen verkkokanavien ja fyysisten kanavien välillä muuttuvista dynamiikoista ja toteutettujen teknologioiden roolista. Tämän tutkielman tulokset tiivistävät kuluttajien odotukset, jotka ovat kehittyneet ennen ja jälkeen pandemian, pääasiassa mukavuuden, jatkuvuuden ja hedonististen näkökohtien osalta. Lisäksi tutkielma tutustuu erilaisiin innovatiivisiin teknologiaominaisuuksiin ja siihen, miten niitä voidaan integroida fyysisiin myymälöihin edesauttamaan saumattomia omnikanavaodotuksia. Tulosten mukaisesti tutkielma ehdottaa, että tapaustutkimusyritysten laajimmin omaksutut teknologiat ovat hajallaan monissa ostosmatkan vaiheissa, joko suunniteltu täydentämään ostoskokemusta korostamalla haluttuja piirteitä, itsenäistämään myymälässä tapahtuvat vuorovaikutukset ja ostovaiheet tai automatisoimaan taustaprosesseja. Nämä teknologiat voidaan yhdistää osaksi yhtenäisiä omnikanavakokemuksia edistämään saumattomia kanavaintegraatioita, kaiken kattavaa tarjontaa ja personointia. Tutkimuksen löydökset osoittavat, että molemmilla tapaustutkimusyrityksillä on selviä yhteyksiä teoreettisiin viitekehyksiin. Löydösten ja synteesin ohella tämä tutkielma vahvistaa pandemian jälkeistä omnikanavakokemuksia koskevaa keskustelua ja tarjoaa todellisia esimerkkejä erilaisten myymäläteknologioiden strategisista käyttötavoista

    Expectations and expertise in artificial intelligence: specialist views and historical perspectives on conceptualisation, promise, and funding

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    Artificial intelligence’s (AI) distinctiveness as a technoscientific field that imitates the ability to think went through a resurgence of interest post-2010, attracting a flood of scientific and popular expectations as to its utopian or dystopian transformative consequences. This thesis offers observations about the formation and dynamics of expectations based on documentary material from the previous periods of perceived AI hype (1960-1975 and 1980-1990, including in-between periods of perceived dormancy), and 25 interviews with UK-based AI specialists, directly involved with its development, who commented on the issues during the crucial period of uncertainty (2017-2019) and intense negotiation through which AI gained momentum prior to its regulation and relatively stabilised new rounds of long-term investment (2020-2021). This examination applies and contributes to longitudinal studies in the sociology of expectations (SoE) and studies of experience and expertise (SEE) frameworks, proposing a historical sociology of expertise and expectations framework. The research questions, focusing on the interplay between hype mobilisation and governance, are: (1) What is the relationship between AI practical development and the broader expectational environment, in terms of funding and conceptualisation of AI? (2) To what extent does informal and non-developer assessment of expectations influence formal articulations of foresight? (3) What can historical examinations of AI’s conceptual and promissory settings tell about the current rebranding of AI? The following contributions are made: (1) I extend SEE by paying greater attention to the interplay between technoscientific experts and wider collective arenas of discourse amongst non-specialists and showing how AI’s contemporary research cultures are overwhelmingly influenced by the hype environment but also contribute to it. This further highlights the interaction between competing rationales focusing on exploratory, curiosity-driven scientific research against exploitation-oriented strategies at formal and informal levels. (2) I suggest benefits of examining promissory environments in AI and related technoscientific fields longitudinally, treating contemporary expectations as historical products of sociotechnical trajectories through an authoritative historical reading of AI’s shifting conceptualisation and attached expectations as a response to availability of funding and broader national imaginaries. This comes with the benefit of better perceiving technological hype as migrating from social group to social group instead of fading through reductionist cycles of disillusionment; either by rebranding of technical operations, or by the investigation of a given field by non-technical practitioners. It also sensitises to critically examine broader social expectations as factors for shifts in perception about theoretical/basic science research transforming into applied technological fields. Finally, (3) I offer a model for understanding the significance of interplay between conceptualisations, promising, and motivations across groups within competing dynamics of collective and individual expectations and diverse sources of expertise

    Computer Vision and Architectural History at Eye Level:Mixed Methods for Linking Research in the Humanities and in Information Technology

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    Information on the history of architecture is embedded in our daily surroundings, in vernacular and heritage buildings and in physical objects, photographs and plans. Historians study these tangible and intangible artefacts and the communities that built and used them. Thus valuableinsights are gained into the past and the present as they also provide a foundation for designing the future. Given that our understanding of the past is limited by the inadequate availability of data, the article demonstrates that advanced computer tools can help gain more and well-linked data from the past. Computer vision can make a decisive contribution to the identification of image content in historical photographs. This application is particularly interesting for architectural history, where visual sources play an essential role in understanding the built environment of the past, yet lack of reliable metadata often hinders the use of materials. The automated recognition contributes to making a variety of image sources usable forresearch.<br/

    Evaluating FAIR Digital Object and Linked Data as distributed object systems

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    FAIR Digital Object (FDO) is an emerging concept that is highlighted by European Open Science Cloud (EOSC) as a potential candidate for building a ecosystem of machine-actionable research outputs. In this work we systematically evaluate FDO and its implementations as a global distributed object system, by using five different conceptual frameworks that cover interoperability, middleware, FAIR principles, EOSC requirements and FDO guidelines themself. We compare the FDO approach with established Linked Data practices and the existing Web architecture, and provide a brief history of the Semantic Web while discussing why these technologies may have been difficult to adopt for FDO purposes. We conclude with recommendations for both Linked Data and FDO communities to further their adaptation and alignment.Comment: 40 pages, submitted to PeerJ C

    Jornadas Nacionales de Investigación en Ciberseguridad: actas de las VIII Jornadas Nacionales de Investigación en ciberseguridad: Vigo, 21 a 23 de junio de 2023

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    Jornadas Nacionales de Investigación en Ciberseguridad (8ª. 2023. Vigo)atlanTTicAMTEGA: Axencia para a modernización tecnolóxica de GaliciaINCIBE: Instituto Nacional de Cibersegurida

    Computer Vision and Architectural History at Eye Level:Mixed Methods for Linking Research in the Humanities and in Information Technology

    Get PDF
    Information on the history of architecture is embedded in our daily surroundings, in vernacular and heritage buildings and in physical objects, photographs and plans. Historians study these tangible and intangible artefacts and the communities that built and used them. Thus valuableinsights are gained into the past and the present as they also provide a foundation for designing the future. Given that our understanding of the past is limited by the inadequate availability of data, the article demonstrates that advanced computer tools can help gain more and well-linked data from the past. Computer vision can make a decisive contribution to the identification of image content in historical photographs. This application is particularly interesting for architectural history, where visual sources play an essential role in understanding the built environment of the past, yet lack of reliable metadata often hinders the use of materials. The automated recognition contributes to making a variety of image sources usable forresearch.<br/
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