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Stability and change in digital transformation: A repertoire model of institutionally embedded technology affordances
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-03-13 DOI: 10.1016/j.infoandorg.2025.100564
Stefan Seidel , Nicholas Berente , Abayomi Baiyere
Digital transformation involves radical change—change in material technologies, certainly, but also a departure from the institutional referents that have guided organizational practice in the past. Still, even during transformation, some elements of the organizational system remain stable, and even new practices are not created out of wholecloth. Therefore, organizations must reconcile stability and change when they undergo digital transformation. We develop a “repertoire” model of institutionally embedded affordances that offers an institutional explanation for both stability and change of technology enactments in the context of digital transformations. The model explicitly attends to the way organizational actors construct, maintain, and alter repertoires of potential technology enactments in contemporary institutionally pluralistic contexts. Our model allows us to identify four key mechanisms of stability and change that characterize digital transformations: affordance reproduction; technology transposition; logic transposition; and affordance transposition. We highlight the central role of the repertoire for navigating the pluralism of institutions and technologies in contemporary organizing.
数字化转型涉及到彻底的变革--当然是物质技术的变革,但同时也脱离了过去指导组织实践的制度参照。不过,即使在转型期间,组织系统中的某些要素仍会保持稳定,甚至新的实践也不会凭空产生。因此,组织在进行数字化转型时,必须协调好稳定与变化之间的关系。我们建立了一个机构内嵌的能力 "剧目 "模型,为数字化转型背景下技术应用的稳定性和变革性提供了机构解释。该模型明确关注了组织行动者在当代机构多元化背景下构建、维护和改变潜在技术应用的方式。通过我们的模型,我们可以确定数字转型所特有的四种关键的稳定和变化机制:能力再现、技术转换、逻辑转换和能力转换。我们强调了剧目在当代组织机构和技术多元化中的核心作用。
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引用次数: 0
Virtual social contagion in online support communities
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-03-10 DOI: 10.1016/j.infoandorg.2025.100561
Ghiyoung Im , Eun Hee Park , Veda C. Storey , Richard L. Baskerville
Firm-sponsored online support communities are ideal places for consumers to solve problems related to product failure after their purchases. Community participants post questions and answers and, inevitably, are influenced by other participants' thoughts, emotions, and intentions. This study seeks to identify the patterns of social contagion and their development processes in online support communities and their impact on consumer post-purchase outcomes. Research on online support communities has emphasized the importance of either cognition or emotion when explaining contagious behaviors but has not explored both elements simultaneously. In this research, data was collected from two online technology support forums managed by two large IT companies. Netnography was employed for data collection and analysis. The data analysis leads to the development of a virtual social contagion typology (i.e., mechanical, smart, mob, and passion contagion) and its associated process models. The contribution of this research is to identify the simultaneous roles of cognitive and emotional activities in the development of social contagion. It also shows that contagion in online support communities is dynamic over time, and significantly affected by emotion.
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引用次数: 0
Transformed knowledge work infrastructures in times of forced remote work 在被迫远程工作的时代变革知识工作基础设施
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-03-02 DOI: 10.1016/j.infoandorg.2025.100563
Sami Paavola , Minna Lakkala , Liubov Folger , Karin Preegel , Juhana Kokkonen , Emanuele Bardone , Merja Bauters
This article investigates support structures for remote knowledge work during the COVID-19 pandemic. The exploratory article defines a novel holistic perspective of knowledge work infrastructures as structures that are embedded in everyday socially organized practices and arrangements which support one's work. Based on an in-depth analysis of semi-structured interviews (N = 14) of knowledge work professionals in the educational and IT sector, the study delineates which knowledge work infrastructures became prominent in the forced remote knowledge work situation. It discerns seven knowledge work infrastructures – technical, social, pragmatic, epistemic, motivational, well-being, and regulative – with subcategories, and analyses of whether they operated at an individual, group or organizational level, or were based on a general societal transformation. This approach to knowledge work infrastructures offers conceptual means for evaluating the complexity of and interplay between different kinds of remote work support structures which are embedded in the everyday sociomaterial work environment.
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引用次数: 0
Human-AI agency in the age of generative AI
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-03-01 DOI: 10.1016/j.infoandorg.2025.100560
Sebastian Krakowski
The rapid emergence of generative artificial intelligence (GenAI) is profoundly transforming the nature of work and organizations, challenging prevalent views of AI as primarily enabling prediction and optimization. This paper argues that GenAI represents a qualitative shift that necessitates a fundamental reassessment of AI's role in management and organizations. By identifying and analyzing four critical dimensions (i) GenAI's broad applicability as a general-purpose technology; (ii) its ability to catalyze exploratory and combinatorial innovation; (iii) its capacity to enhance cognitive diversity and decision-making; and (iv) its democratizing effect on AI adoption and value creation the paper highlights GenAI's potential to augment and scale human creativity, learning, and innovation. Building on insights from the AI and management literature, as well as on theory of human-AI agency, the paper develops a novel perspective that challenges the dominant efficiency-oriented narrative. It proposes that a human-complementary approach to GenAI development and implementation, leveraging it as a generative catalyst for exploration, can enable radically increased creativity, innovation, and growth. GenAI's democratizing aspects can amplify these mechanisms, promoting widely shared growth when combined with appropriate policy and managerial choices. Implications for theory, practice, and future research directions are discussed, drawing attention to the need for approaches in GenAI development and deployment that are complementary rather than competitive to human beings. The paper concludes by discussing the theoretical, practical, and policy implications of this transformative technology. It outlines future research directions, emphasizing the critical role of human agency in determining the organizational, societal, and ethical outcomes associated with AI adoption and implementation.
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引用次数: 0
Digital innovation, platforms, and global strategy
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-03-01 DOI: 10.1016/j.infoandorg.2025.100562
Danielle Logue , Peter Williamson , Anna Roberts , Yadong Luo , Michael Barrett
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引用次数: 0
I gotta use words when I talk to you: Primed suspension of disbelief in views on agency in relation to Artificial Intelligence
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-03-01 DOI: 10.1016/j.infoandorg.2025.100557
Matthew Jones
The public launch of generative AI systems in 2022 has prompted considerable popular interest in their potential to transform work and to achieve the long-sought goal of machine intelligence. While the uncanny abilities of Large Language Models to produce fluent text on almost any subject lends these ideas some plausibility, they are based on debatable, if not erroneous, claims about the capabilities of generative AI. Although rarely presented in these terms, these claims may be seen to reflect a limited, substantive conception of the agency of AI systems. Alternative conceptualisations of agency from other disciplines are presented that may offer potentially more fruitful ways of thinking about agency in relation to AI. The way that conceptions of the agency of AI systems is shaped by the language used to describe their behaviour is highlighted and opportunities for alternative conceptions of agency to inform a more critical analysis of generative AI are identified.
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引用次数: 0
Novice risk work: How juniors coaching seniors on emerging technologies such as generative AI can lead to learning failures
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-02-21 DOI: 10.1016/j.infoandorg.2025.100559
Katherine C. Kellogg , Hila Lifshitz , Steven Randazzo , Ethan Mollick , Fabrizio Dell'Acqua , Edward McFowland III , François Candelon , Karim R. Lakhani
Historically, junior professionals have mentored senior professionals around new technologies, because juniors are typically more willing than seniors to perform lower-level tasks to learn new skills, better able than seniors to engage in real-time experimentation close to the work itself, and more willing than seniors to learn innovative methods that conflict with traditional identities and norms. However, we know little about what happens when emerging technologies have a high level of uncertainty in their use, because they have wide-ranging capabilities and are exponentially changing. With the rise of Artificial Intelligence, specifically learning algorithms and LLMs, such contexts may be increasingly common. In our study conducted with the Boston Consulting Group, a global management consulting firm, we interviewed 78 junior consultants in July–August 2023 who had recently participated in a field experiment that gave them access for the first time to generative AI (GPT-4) for a strategic business problem solving task. Drawing from junior professionals' in situ reflections soon after the experiment, we found that junior professionals may fail to manage risks around uncertain emerging technologies because juniors are likely to recommend three kinds of novice risk work tactics that: 1) are grounded in a lack of deep understanding of technologies that have uncertain and wide-ranging capabilities and are changing exponentially, 2) focus on change to human routines rather than system design, and 3) focus on interventions at the project-level rather than system deployer- or ecosystem-level. The implications of novice risk work are that, when junior professionals are expected to be a source of expertise in the use of uncertain, emerging technologies, this can lead to learning failures. This study contributes to our understanding of occupational learning around emerging technologies, risk work in organizations, and human-computer interaction.
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引用次数: 0
Exploring AI-in-the-making: Sociomaterial genealogies of AI performativity
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-02-13 DOI: 10.1016/j.infoandorg.2025.100558
Susan V. Scott , Wanda J. Orlikowski
Recent interest in artificial intelligence technologies has led to much discussion about what the age of AI portends for how we live and work. And specifically for the present discussion, what it means for agency. In offering our contributions to these considerations, we build on approaches to treat AI not as a “thing” but as phenomena in-the-making. Such a framing orients us to doings, to practices, to enactments, and consequential outcomes. These considerations of AI-in-the-making are inspired by agential realism, a theory that calls attention to performativity and accountability. Based on these ideas, we propose a sociomaterial genealogical approach that we suggest is well-suited for the study of AI-in-the-making. In so doing, we provide qualitative scholars with a way of orienting their inquiries toward the performativity of ongoing AI reconfigurations and sociomaterial accountabilities.
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引用次数: 0
Factors influencing platform owners’ seller control choices in E-marketplaces
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-01-21 DOI: 10.1016/j.infoandorg.2025.100555
Shraddha Danani , Abhishek Behl , Nakul Gupta
Operating as micro-economies, electronic marketplace (EM) platforms connect numerous consumers and sellers and facilitate value-creating interactions. However, EM platform providers (platform owners)/ have limited authority over independent sellers, who often connect with several platforms, referred to as multihoming behaviors. An effective control portfolio serves as a crucial tool for owners to influence sellers' actions in alignment with the goals of the EM platform. For a control portfolio to be effective, it must be aligned with the prevailing contextual factors. This paper investigates the key antecedent factors that influence the control choices made by EM platform owners. By probing what factors guide EM platform owners in selecting specific control modes in this multi-case study, this research extends control theory into the relatively unexplored context of EM. The study identifies seven antecedent factors influencing owners' control mode choices: task programmability, outcome measurability, behavior observability, interdependencies, uncertain controlee motivations, internalization of controller objectives, and reciprocity norms. Based on these findings, the paper proposes explanations for the prominence of formal controls and the selective inclusion of informal control mechanisms in EM seller control portfolios, offering insights for practitioners and future research. The study findings help EM platform owners create a balanced portfolio of contextually appropriate control mechanisms.
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引用次数: 0
Corrigendum to “The impact of platform business models on the valuations of unicorn companies” [Information and Organization 34 (2024)] “平台商业模式对独角兽公司估值的影响”更正[Information and Organization 34 (2024)]
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-01-16 DOI: 10.1016/j.infoandorg.2025.100556
Michael A. Cusumano , Annabelle Gawer , David B. Yoffie , Sarah von Bargen , Kwesi Acquay
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Information and Organization
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