32 research outputs found

    Digital transformation in an incumbent organisation: the co-enactment of digital transformation through macro- and micro-level activities

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    Digital transformation forms an important organisational response to digital technologies and their potential digital disruptions. Especially incumbent organisations face the risk of a diminished market position if they fail to digitally transform as competitors use of digital technologies disrupts business models and affects consumer behaviour. Digital disruptions pressure incumbent organisations’ brick and mortar businesses and have already shaken established companies to the ground (e.g. Nokia or Kodak), while pushing others to the brink (e.g. the music industry). These downfalls and trends signal the importance of incumbent organisations engaging in their digital transformation in order to retain their market position. By engaging in their digital transformation, incumbent organisations seek to implement significant changes to their methods of organising by combining multiple digital technologies. The literature on organisational digital transformation sketches three areas of concern: digital transformation strategy, organisational changes (to both value proposition and internal structures) and digital technology. Across these areas of concern, it has delved into organisational activities at either the macro or the micro level of organising. Macro-level studies seem to overshadow the importance of micro-level activities that underlie them. That is, focusing on a phenomenon’s grand scheme, such studies pay little attention to the micro-level activities that enact the phenomenon. On the other hand, micro-level studies tend to miss the relation and influence that a macro-level phenomenon has on the micro level and its constitution of the macro level. They focus on the micro-level activities, neglecting the broader rules and resources that macro-level activities provide. Conceiving digital transformation as a mixed- level phenomenon occurring at both and across the organisational macro and micro levels, we thus cannot fully understand its enactment focusing on either macro- or micro-level activities but only through studying their co-enactment. This dissertation investigates how organisational activities co-enact digital transformation. Drawing on three theoretical angles – improvisation theory, institutional theory and digital infrastructures, it studies organisational activities within the literature’s three areas of concern. Acknowledging the mixed-level nature of digital transformation, it focuses on activities at both the macro and the microlevels of organising. Methodologically, it builds on an ethnography of a large European car manufacturer, an incumbent in its field, which engages in its digital transformation. This ethnographic study took place over a period of three years (from July 2017 to June 2020) and comprised participant observations and both formal and informal interviews as well as the collection of archival records. The findings from the empirical material revealed an interplay between macro- and micro-level activities which co-enacts the car manufacturer’s digital transformation. Conceptualising this interplay, this dissertation contributes to digital transformation research offering the concepts of framing and concretising to understand and explain the becoming of digital transformation as co-enactment. Framing creates space and projects direction for digital transformation. Concretising renders propositions and realisations which manifest organisational digital transformation. Accordingly, digital transformation becomes co-enacted in an interplay of macro-level activities framing micro-level activities, and micro-level activities concretising macro-level activities. The co-enactment conceptualisation emphasises digital transformation’s mixed-level nature, thus proposing the need to observe approaches suitable to further unpack and better understand the phenomenon’s becoming through the interplaying activities of framing and concretising.Digitaalinen transformaation vakiintuneen markkina-aseman organisaatiossa: Digitaalisen transformaation yhteistoiminnallistaminen makro- ja mikrotason toimintojen välillä Digitaalinen transformaatio on merkityksellinen organisationaalinen reaktio digitaalisiin murroksiin, jotka digitaaliset teknologiat ovat mahdollistaneet. Jos vakiintuneet organisaatiot epäonnistuvat muuntautumaan digitaalisesti, kun niiden kilpailijat luovat uusia liiketoimintamalleja ja vaikuttavat kuluttajakäyttäytymiseen, niille markkina-asema voi mahdollisesti heikentyä. Digitaaliset murrokset painostavat vakiintuneessa markkina-asemassa olevien organisaatioiden kivijalkaliiketoimintaa, koska ne ovat jo murskanneet etabloituneita yrityksiä (esim. Nokia tai Kodak) sekä ajaneet toisia ahtaalle (esim. musiikkiteollisuus). Nämä kukistumiset ja suuntaukset viestittävät vakiintuneessa markkina-asemassa oleville organisaatioille digitaaliseen transformaatioon ryhtymisen tärkeyttä niiden yrittäessä pitää markkinapositiotaan. Digitaaliseen transformaatioon ryhtyessään vakiintuneessa markkina-asemassa olevat organisaatiot yrittävät toteuttaa merkittäviä muutoksia organisointiinsa yhdistelemällä useita digitaalisia teknologioita. Tutkittaessa tätä prosessia, organisaation digitaalista transformaatiota käsittelevä kirjallisuus hahmottelee kolme aihealuetta: digitaalinen transformaatiostrategia, organisationaaliset muutokset (sekä arvolupaukseen että sisäisiin rakenteisiin) sekä digitaaliset teknologiat. Näiden aihealueiden sisällä aikaisempi kirjallisuus on syventynyt joko makro- tai mikrotason organisointiin tarkastellessaan organisaation toimintaa. Makrotason tutkimukset kuitenkin näyttävät jättävän varjoonsa niiden taustalla olevan mikrotason toiminnan tärkeyden. Toisin sanoen, jos keskitytään ilmiön suureen kuvaan, tutkimukset eivät kiinnitä riittävästi huomiota mikrotason toimintaan, joka toiminnallistaa ilmiön. Toisaalta mikrotason tutkimukset taas usein eivät huomaa makrotason ilmiön yhteyttä ja vaikutuksia mikrotasoon ja makrotason rakenteisiin. Ne keskittyvät mikrotason toimintaan laiminlyöden laajemmat suuntaviivat ja resurssit, mitkä makrotason toiminnalla taataan. Kun digitaalinen transformaatio ymmärretään monitasoisena ilmiönä, joka tulee esille sekä organisaatioiden makro- ja mikrotasoilla että myös niiden välillä, emme voi ymmärtää sen toiminnallistamista keskittymällä joko makro- tai mikrotason toimintaan vaan ainoastaan tutkimalla niiden yhteistoiminnallistamista. Tämä väitöskirja tutkii kuinka organisationaalinen toiminta yhteistoiminnallistaa digitaalista transformaatiota. Käyttäen kolmea teoreettista näkökulmaa – improvisaatioteoriaa, institutionaalista teoriaa ja digitaalisia infrastruktuureja – se tutkii organisationaalista toimintaa kolmen mainitun kirjallisuuden aihealueen sisällä. Se keskittyy toimintaan sekä organisoinnin makro- että mikrotasoilla tunnustaen digitaalisen transformaation monitasoisen luonteen. Metodologisesti se pohjautuu etnografiaan suuressa eurooppalaisessa autonvalmistajayrityksessä, vakiintuneessa asemassa toimialallaan, joka ryhtyy digitaaliseen transformaatioon. Tämä etnografinen tutkimus tehtiin kolmen vuoden aikana (heinäkuusta 2017 – heinäkuuhun 2020) ja sen aineisto koostuu osallistuvasta havainnoinnista, virallisista ja epävirallisista haastatteluista sekä kokoelmasta arkistotietoja. Empiirisen tutkimuksen tulokset paljastivat makro- ja mikrotason toimintojen vuorovaikutuksen, jotka yhteistoiminnallistavat autonvalmistajan digitaalisen transformaation. Käsitteellistettäessä tätä vuorovaikutusta, tämä väitöskirja edistää digitaalista transformaatiotutkimusta tarjotessaan kehystämisen ja konkretisoinnin käsitteet, joilla voidaan ymmärtää ja selittää digitaalisen transformaation tulemista yhteistoiminnallistamiseksi. Kehystäminen luo tilaa ja tuo esiin digitaalisen transformaation suuntaa. Konkretisointi tarjoaa ehdotuksia ja oivalluksia, jotka ilmaisevat organisaation digitaalista transformaatiota. Tällä tavoin digitaalinen transformaatio tulee yhteistoiminnallistettua makrotason toimintojen kehystäessä mikrotason toimintaa sekä mikrotason toimintojen konkretisoidessa makrotason toimintaa ja näiden vuorovaikutuksessa. Yhteistoiminnallistamisen käsite painottaa digitaalisen transformaation monitasoista luonnetta ja kehottaa jatkotutkimusta etsimään sopivia lähestymistapoja ilmiön esiintymiselle kehystämisen ja konkretisoinnin vuorovaikutuksessa, jotta sitä voitaisiin edelleen selvittää ja ymmärtää paremmin

    A conceptual framework on users' digitalisation practices transforming their digital infrastructure for work

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    The Importance of Business Continuity for Making Business: The Case of Design Kitchen

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    Design Kitchen is a typical, small business about to secure a major deal with a prospective customer. The crux of this deal: Design Kitchen’s ability to work as a reliable subcontractor. Business continuity (BC) teaching cases usually describe a disruption that requires reaction. This teaching case elucidates the importance of BC for making business. It provides a rich description of Design Kitchen receiving an audit, and posits the task of creating a BC plan based on this audit’s findings. Completing this case, students will learn how to analyze and identify BC risks; how to craft a BC plan; and about the complications stirring when top management is not engaged in BC. While fictional, the case description presents a composite narrative based on empirical studies of several companies’ BC risks. Besides teaching BC, lecturers can use the case text for courses of information security management or business process modeling

    Responsible Artificial Intelligence Systems Critical considerations for business model design

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    Commercializing responsible artificial intelligence (RAI) involves translating ethical principles for developing, deploying, and using AI into business models. However, prior studies have reported tensions between commercial interests (e.g., development speed or accuracy) and societal interests (e.g., privacy or human rights) that can undermine RAI’s value proposition. Conceptually, we distinguish two business model development perspectives on AI and responsibility: innovating responsible business models leveraging AI and designing RAI business models. Taking the second perspective, we investigate the value proposition of RAI through business model design by employing a two-stage research approach consisting of focus groups and member checking. Empirically, we present the learnings from identifying the design elements for RAI business models. These include two themes that can underlie such business models: providing vs. enabling RAI systems and the observation that the tensions in RAI’s value proposition are paradoxical, not dilemmas. With our conceptual groundwork and empirical insights, we make three contributions that offer critical considerations for RAI business model design. First, we conceptualize two pathways for designing RAI business models: a corner path to commercialized RAI systems vs. direct path to commercialized RAI systems. We argue that these paths have distinct implications for the responsible in RAI. Second, we reflect the sociotechnical nature of RAI systems by emphasizing the criticality of the social for responsibility. Third, we outline a research agenda for developing RAI business models

    Criticality and Values in Digital Transformation Research: Insights from a Workshop

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    Digital transformation can positively or negatively contribute to societies, organizations, and individuals depending on the values inscribed in the underlying digital technologies. This highlights the importance for researchers to critically examine digital technologies’ value inscriptions, how technology use enacts these values and the bearing of these values on research. This paper draws on the pre-ICIS 2022 IFIP 8.2 OASIS workshop on “Criticality and Values in Digital Transformation Research to highlight four ways researchers can practice criticality, that is, how they can identify and reflect on the values that underlie digital phenomena. The types of criticality are phenomenon-based, method-based, theory-based, and self-reflexive criticality. Criticality alone does not constitute critical social research. However, criticality sensitizes researchers to consciously engage with values, which can feed into critical research’s elements of insight, critique, and transformation. Criticality can inform insight by surfacing values; providing the basis for critique by confronting readers with alternative values; and supporting transformation by proposing alternative value inscriptions. Hence, we take criticality as pivotal for understanding how digital transformation can contribute to building a better world and we invite the IS community to practice and discuss criticality, values, and reflexivity to drive positive change

    Designing an AI governance framework: From research-based premises to meta-requirements

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    The development and increasing use of artificial intelligence (AI), particularly in high-risk application areas, calls for attention to the governance of AI systems. Organizations and researchers have proposed AI ethics principles, but translating principles into practice-oriented frameworks has proven difficult. This paper develops meta-requirements for organizational AI governance frameworks to help translate ethical AI principles into practice and align operations with the forthcoming European AI Act. We adopt a design science research approach. We put forward research-based premises, then we report the design method employed in an industry-academia research project. Based on these, we present seven meta-requirements for AI governance frameworks. The paper contributes to the IS research on AI governance by collating knowledge into meta-requirements and advancing a design approach to AI governance. The study underscores that governance frameworks need to incorporate the characteristics of AI, its contexts, and the different sources of requirements

    UNDERSTANDING THE SOCIO-TECHNICAL ASPECTS OF LOW-CODE ADOPTION FOR SOFTWARE DEVELOPMENT

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    The digital transformation of organizations’ leverages several approaches for creating software applications that meet the requirements of the specific context. Besides well-researched approaches like software development, outsourcing, or customizing commercial software packages, low-code platforms today offer a new approach for creating software. The low-code approach allows to develop software without or with limited actual coding, but by combining executable software components into workflows. While the low-code approach simplifies software development and offers a reduction in effort and time, we lack explanations on why organizations adopt it, and which challenges are associated with this adoption. We, therefore, investigate the adoption of the low-code approach based on the technology-organization-environment framework. We identified ten aspects supporting and six aspects hindering the adoption of the low-code approach. For practice, we propose a model that can assist organizations in determining the adequacy for adopting the low-code approach

    Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

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    Governing artificial intelligence (AI) requires multi-actor cooperation, but what form could this cooperation take? In recent years, the European Union (EU) has made significant efforts to become a key player in establishing responsible AI. In its strategy documents on AI, the EU has formulated expectations and visions concerning ecosystems for responsible AI. This paper analyzes expectations on potential responsible AI ecosystems in five key EU documents on AI. To analyze these documents, we draw on the sociology of expectations and synthesize a framework comprising cognitive and normative expectations on sociotechnical systems, agendas and networks. We found that the EU documents on responsible AI feature four interconnected themes, which occupy different positions in our framework: 1) trust as the foundation of responsible AI (cognitive–sociotechnical systems), 2) ethics and competitiveness as complementary (normative–sociotechnical systems), 3) European value-based approach (normative–agendas), and 4) Europe as global leader in responsible AI (normative–networks). Our framework thus provides a mapping tool for researchers and practitioners to navigate expectations in early ecosystem development and help decide what to do in response to articulated expectations. The analysis also suggests that expectations on emerging responsible AI ecosystems have a layered structure, where network building relies on expectations about sociotechnical systems and agendas. </p

    Co-Shaping an Ecosystem for Responsible AI: Five Types of Expectation Work in Response to a Technological Frame

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    Governing artificial intelligence (AI) requires cooperation, although the collaboration's form remains unclear. Technological frames provide a theoretical perspective for understanding how actors interpret a technology and act upon its development, use, and governance. However, we know little about how actors shape technological frames. In this paper, we study the shaping of the technological frame of the European ecosystem for responsible AI (RAI). Through an analysis of EU documents, we identified four expectations that constitute the EU's technological frame for the RAI ecosystem. Moreover, through interviews with RAI actors, we revealed five types of expectation work responding to this frame: reproducing, translating, and extending (congruent expectation work), and scrutinizing and rooting (incongruent expectation work). Furthermore, we conceptualize expectation work as actors' purposive actions in creating and negotiating expectations. Our study contributes to the literature on technological frames, technology-centered ecosystems, and RAI while also elucidating the dimensions and co-shaping of technological frames
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