Information and Organization最新文献

Above and beyond compliance: Investigating how non-market privacy activities impact consumer trust, privacy concerns and behavior intentions 超越合规性：调查非市场隐私活动如何影响消费者信任、隐私问题和行为意图

IF 4.7 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Information and Organization

Pub Date : 2025-12-09 DOI: 10.1016/j.infoandorg.2025.100601

Valerie Lyons , Grace Fox , Lisa van der Werff , Theo Lynn

With the ever-growing incidence of data breaches and the inability of regulation to keep pace with technological advances, organizations must seek to address privacy beyond the minimum regulatory requirements, including wider societal and political responsibilities. These privacy-specific responsibilities are often enacted through activities in the non-market environment, i.e., the social, political, and legal interactions organizations have with key stakeholders that indirectly affect profitability. Such non-market privacy activities have the potential to enhance privacy effectiveness and yield reputational benefits. However, there is a dearth of research exploring how organizations' privacy-related actions in the non-market environment influence consumer perceptions and behavior. This research integrates power responsibility equilibrium (PRE) theory to explore how the levels of control and justice signaled by an organization's non-market privacy activities impact consumer outcomes (trust, privacy concern, and purchase/continuance intentions). These hypotheses are explored quantitatively using two experimental vignette studies (Experiment 1, n = 396; Experiment 2, n = 503). Findings provide strong empirical support for the role of perceived control and justice in shaping consumer responses to organizational privacy behaviors and highlight opportunities to enhance the consumer trust. Our results also challenge the adequacy of current risk-based approaches to privacy protection and suggest a trust-based approach may be more effective. This research contributes to both the information systems and the non-market strategy literatures by extending the application of PRE Theory to the domain of non-market privacy activities and offering empirical support of its relevance to consumer-firm relationships.

随着数据泄露事件的不断增加，以及监管无法跟上技术进步的步伐，组织必须寻求在最低监管要求之外解决隐私问题，包括更广泛的社会和政治责任。这些特定于隐私的责任通常是通过非市场环境中的活动制定的，例如，组织与间接影响盈利能力的关键利益相关者之间的社会、政治和法律互动。这种非市场隐私活动有可能提高隐私有效性并产生声誉效益。然而，对于非市场环境中组织的隐私相关行为如何影响消费者的认知和行为，缺乏研究。本研究整合权力责任均衡（PRE）理论，探讨组织的非市场隐私活动所显示的控制和正义水平如何影响消费者的结果（信任、隐私关注和购买/继续意愿）。这些假设通过两个实验研究（实验1，n = 396；实验2，n = 503）进行定量探讨。研究结果为感知控制和公平在塑造消费者对组织隐私行为的反应中的作用提供了强有力的实证支持，并突出了增强消费者信任的机会。我们的研究结果也对当前基于风险的隐私保护方法的充分性提出了挑战，并建议基于信任的方法可能更有效。本研究通过将PRE理论的应用扩展到非市场隐私活动领域，并为其与消费者-企业关系的相关性提供实证支持，为信息系统和非市场战略的研究做出了贡献。

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引用次数: 0

The emergence of digital innovations in the pre-emergence phase of self-sovereign identity in Finland 芬兰自我主权认同出现前阶段数字创新的出现

IF 4.7 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Information and Organization

Pub Date : 2025-09-16 DOI: 10.1016/j.infoandorg.2025.100600

Gabriella Laatikainen , Mikko Siponen

Digital innovations (DIs) affect individuals, organisations, industries, and economies. However, the extant literature lacks an understanding of how DIs emerge and how they shape their environment in the very early, pre-emerging phase of a technology, where the technology can influence many industries. To understand the pre-emerging phase, we employ stage-based modelling by analysing rich qualitative data in the context of self-sovereign identity (SSI) technology. Our results identify the interoperability (i.e., the ability of multiple systems to interact with each other) requirement of DIs as a shaping factor of their emergence. Further, we propose a stage model that explains the emergence of SSI-facilitated DIs and an SSI innovation-fostering environment. The model consists of three qualitatively different stages with stage-specific salient questions, mechanisms, and outcomes. This work primarily contributes to the DI literature in the SSI context and has policy and practical implications for regulators and other practitioners.

数字创新（DIs）影响着个人、组织、行业和经济。然而，现有文献缺乏对DIs如何出现以及它们如何在技术出现前的早期阶段塑造其环境的理解，在这个阶段，技术可以影响许多行业。为了理解出现前的阶段，我们通过分析自我主权身份（SSI）技术背景下丰富的定性数据，采用基于阶段的建模。我们的结果确定了DIs的互操作性（即多个系统相互交互的能力）需求是其出现的形成因素。此外，我们提出了一个阶段模型来解释SSI促进的创新和SSI创新培育环境的出现。该模型由三个质量不同的阶段组成，具有特定阶段的突出问题、机制和结果。这项工作主要为SSI背景下的DI文献做出了贡献，并对监管机构和其他从业者具有政策和实际意义。

引用次数: 0

Capturing institutional logics and the construction of digital technologies: A macro-discursive perspective using formal text analysis methods 捕捉制度逻辑和数字技术的构建：使用形式文本分析方法的宏观话语视角

IF 4.7 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Information and Organization

Pub Date : 2025-09-11 DOI: 10.1016/j.infoandorg.2025.100598

Philipp Poschmann

Research suggests that the meanings of new technologies in the digital age are constructed through discourses shaped by diverse actors and a variety of social, material, and institutional aspects. This paper introduces a novel methodological approach that enables large-scale investigations into the construction of the meanings of these technologies from a macro-discursive perspective. This macro-discursive perspective allows researchers to capture and analyze overarching patterns of the aspects that shape a technology's meaning in discourses at the macro level. Specifically, the methodological approach involves analyzing texts to capture the co-occurrence of social actors, problems, and solutions associated with a particular technology, as well as the prevalence of institutional logics' symbolic representations. The approach is grounded in theoretical insights from the social construction of technology (SCOT) and institutional logics. On a technical level, this paper proposes that the methodological approach presented can be implemented by combining formal methods of text analysis. Three methods will be discussed in detail: named-entity recognition, topic modeling, and word embeddings. The practical application of this methodological approach will be demonstrated in an empirical illustration based on the public discourse surrounding artificial intelligence in Germany from 2015 to 2022.

研究表明，数字时代新技术的意义是通过由不同行动者和各种社会、物质和制度方面塑造的话语来构建的。本文介绍了一种新的方法论方法，可以从宏观话语的角度对这些技术的意义构建进行大规模的调查。这种宏观话语视角允许研究人员在宏观层面上捕捉和分析塑造技术话语意义的各个方面的总体模式。具体来说，方法论方法包括分析文本，以捕捉与特定技术相关的社会行为者、问题和解决方案的共同出现，以及制度逻辑符号表征的流行。该方法基于技术的社会建构（SCOT）和制度逻辑的理论见解。在技术层面上，本文提出的方法方法可以通过结合文本分析的形式化方法来实现。本文将详细讨论三种方法：命名实体识别、主题建模和词嵌入。该方法的实际应用将通过基于2015年至2022年德国围绕人工智能的公共话语的实证说明来展示。

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引用次数: 0

Digital leadership routines: Understanding the role of artifacts in digital leadership development 数字领导惯例：了解人工制品在数字领导发展中的作用

IF 4.7 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Information and Organization

Pub Date : 2025-09-04 DOI: 10.1016/j.infoandorg.2025.100599

Julia Katharina Eberl, Markus Philipp Zimmer, Paul Drews

Digitalization requires organizations to quickly adapt to technological trends for sustaining and improving their market position. To ensure they are capable of responding quickly to such trends, organizations implement a new leadership approach, which research and practice refer to as Digital Leadership (DL). The previous literature considers organizations from the information technology (IT) industry as frontrunners in developing DL. While it has focused on the skills of the digital leader and defining DL, our study addresses the so far unexplored development of DL at routine level. We conducted 24 interviews with followers and leaders in the IT industry. Analyzing the transcripts of those interviews with the theoretical lens of organizational routines, we contribute to DL research. We shift the narrative in this field from defining what DL is to understanding how DL is developed by the actions of leaders and followers through artifact-based transformation of DL routines. We identify artifacts in six roles that stabilize or flexibilize performance of DL routines. We uncover that DL is not static but dynamic as flexibilizing artifacts promote adjustment in routine performance based on situational context. Leaders and followers can impede DL development by deciding to situationally deviate from the intended role of artifacts due to tensions between artifacts and past experiences. These findings advance DL theory by uncovering the importance of followers in DL and leadership theory by adding the lens of routines to leadership development. They help practitioners to understand the complexity of DL development and how the IT industry realizes DL.

数字化要求组织迅速适应技术趋势，以维持和提高其市场地位。为了确保他们能够快速响应这些趋势，组织实施了一种新的领导方法，研究和实践将其称为数字领导（DL）。以前的文献认为来自信息技术（IT）行业的组织是发展DL的领跑者。虽然它侧重于数字领导者的技能和定义深度学习，但我们的研究解决了迄今为止在日常水平上尚未探索的深度学习发展。我们对IT行业的追随者和领导者进行了24次采访。从组织惯例的理论角度分析这些访谈的笔录，我们为深度学习研究做出了贡献。我们将这一领域的叙述从定义深度学习是什么转变为理解领导者和追随者如何通过基于人工制品的深度学习例程转换来发展深度学习。我们确定了稳定或灵活DL例程性能的六个角色中的工件。我们发现DL不是静态的，而是动态的，因为灵活的工件促进了基于情景上下文的常规性能调整。由于工件和过去经验之间的紧张关系，领导者和追随者可以通过决定情境偏离工件的预期角色来阻碍DL的发展。这些发现通过揭示追随者在深度学习和领导力理论中的重要性来推进深度学习理论，并通过将常规镜头添加到领导力发展中。它们帮助从业者理解深度学习发展的复杂性以及IT行业如何实现深度学习。

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引用次数: 0

Platform governance as institutional custodianship: multi-actor collaboration in combating AI-enabled mis/disinformation 作为机构监管的平台治理：多方合作打击人工智能带来的错误信息/虚假信息

IF 4.7 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Information and Organization

Pub Date : 2025-08-20 DOI: 10.1016/j.infoandorg.2025.100590

Michael Barrett, Isam Faik, Tawfik Jelassi

引用次数: 0

Who should pay for technical debt? Exploring software professionals perceptions about technical debt accountability 谁应该为技术债务买单？探索软件专业人员对技术债务责任的看法

IF 4.7 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Information and Organization

Pub Date : 2025-08-13 DOI: 10.1016/j.infoandorg.2025.100589

Hadi Ghanbari , Suchit Ahuja , Bokyung Lee , James Gaskin

Technical debt (TD) highlights the consequences of suboptimal design decisions made during Information Systems (IS) development. Despite reducing IS quality, if taken strategically and managed proactively, TD enables firms to gain a competitive advantage in the short-term. However, if taken without strategic intent and left unresolved, TD can lead to significant costs in the long-term. Previous studies mainly examine TD accumulation at the organizational level and its latent costs to the organization. However, considering the crucial role of individuals in IS development, further research is needed to provide us with a theoretical understanding of TD that is accumulated because of unnecessary shortcuts taken by software professionals without any strategic intent. To explore this costly concern, we interviewed 25 software professionals across industry domains and from all three global regions. Using accountability theory as a lens, we conducted thematic analysis and qualitative comparative analysis to uncover the participants' perceptions of responsibilities and accountability issues associated with the accumulation and management of TD. Our analysis shows that software professionals' perception of TD accountability is influenced by 1) the extent to which prospective and retrospective accountability mechanisms are established in organizations and the way they are followed (i.e., bureaucratically vs. democratically) and 2) the extent to which collective culture emphasizes the importance of ensuring software quality and promotes compliance with quality rules. Thus, we propose TD accountability as a crucial coordination and consensus building mechanism for promoting a quality culture in development teams and facilitating appropriate accumulation and management of TD in organizations. In addition to contributing to IS literature, we provide insights for organizations to coordinate the accumulation and management of TD.

技术债务（TD）强调了在信息系统（IS）开发期间所做的次优设计决策的后果。尽管降低了信息系统的质量，但如果采取战略和主动管理，信息技术可以使公司在短期内获得竞争优势。然而，如果在没有战略意图的情况下实施，并且不加以解决，从长远来看，输配电可能会导致巨大的成本。以往的研究主要考察组织层面的技术开发积累及其对组织的潜在成本。然而，考虑到个人在信息系统开发中的关键作用，需要进一步的研究来为我们提供由于软件专业人员在没有任何战略意图的情况下采取不必要的捷径而积累的TD的理论理解。为了探究这个代价高昂的问题，我们采访了来自全球三个地区的25位跨行业的软件专业人士。我们以问责理论为视角，通过专题分析和定性比较分析，揭示了参与者对TD积累和管理相关的责任和问责问题的认知。我们的分析表明，软件专业人员对软件开发责任的感知受到以下因素的影响：1)在组织中建立前瞻性和回顾性责任机制的程度以及遵循这些机制的方式（即，官僚主义vs.民主主义）；2)集体文化强调确保软件质量的重要性并促进对质量规则的遵从的程度。因此，我们建议开发团队问责制作为一种重要的协调和共识建立机制，以促进开发团队的质量文化，并促进组织中开发团队的适当积累和管理。除了贡献IS文献外，我们还为组织协调TD的积累和管理提供了见解。

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引用次数: 0

Reimagining AI for sustainability: Cultivating imagination, hope, and response-ability 为可持续发展重新构想人工智能：培养想象力、希望和反应能力

IF 4.7 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Information and Organization

Pub Date : 2025-07-31 DOI: 10.1016/j.infoandorg.2025.100586

Lotta Hultin , Magnus Mähring

While the use of Artificial Intelligence (AI) in sustainability efforts continues to grow, dominant approaches remain narrowly focused on optimization, prediction, and control. This paper challenges the predictive/optimizing paradigm by proposing a relational perspective on AI—one that treats uncertainty not as a problem to eliminate, but as a generative space for creativity, care, and transformation. Drawing on theories of relational agency, imagination, and hope, we explore how AI can participate in co-creating more ethical, empathetic, and ecologically attuned practices. Leveraging a preexisting case of AI-driven wildlife management in India, we conduct an analysis of a possible and desirable future, demonstrating how AI's affordances might be reconfigured and expanded: from tools of surveillance and efficiency to invitations for listening, attunement, and world-making. In this reimagined mode, AI supports not only the processing of data but the emergence of stories—enabling practitioners to sense, interpret, and respond to ecological entanglements in ways that foreground more-than-human perspectives and collective vulnerability.

We contribute to the growing discourse on sustainable AI by theorizing how practices of imagination and hope can cultivate response-able agency—a form of ethical responsiveness grounded in interdependence rather than mastery. Ultimately, we call for a reorientation of AI design and governance toward practices that do not merely optimize what is, but help bring forth what could be.

虽然人工智能（AI）在可持续发展工作中的应用不断增加，但主流方法仍然局限于优化、预测和控制。本文对预测/优化范式提出了挑战，提出了人工智能的关系视角——不将不确定性视为需要消除的问题，而是将其视为创造力、关怀和转化的生成空间。利用关系代理、想象和希望的理论，我们探索人工智能如何参与共同创造更具道德、同理心和生态协调的实践。利用印度先前存在的人工智能驱动的野生动物管理案例，我们对可能和理想的未来进行了分析，展示了人工智能的功能如何被重新配置和扩展：从监督和效率的工具到邀请倾听、协调和创造世界。在这种重新构想的模式中，人工智能不仅支持数据处理，还支持故事的出现——使从业者能够以超越人类视角和集体脆弱性的方式感知、解释和回应生态纠集。我们通过理论化想象和希望的实践如何培养负责任的代理——一种基于相互依存而不是掌握的道德回应形式，为可持续人工智能的不断增长的论述做出了贡献。最终，我们呼吁对人工智能设计和治理进行重新定位，不仅要优化现状，还要帮助实现未来。

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引用次数: 0

Semiotic mediation in data governance: Towards valuing data as assets 数据治理中的符号中介：将数据视为资产

IF 5.7 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Information and Organization

Pub Date : 2025-07-09 DOI: 10.1016/j.infoandorg.2025.100588

Olivia Benfeldt , John Stouby Persson

Data intricately links to value in organizations by mediating insights that enhance decision- making, knowledge creation, and strategizing. Yet, traditional data governance frameworks concerned with treating data as “assets” often assume data are static entities with intrinsic value that can be owned by enterprises. This assumption is increasingly untenable as data are dynamic, and gain value across contexts, introducing new challenges for governance. In this paper, we propose semiotic mediation to conceptualize and govern data as assets. Drawing on Peircean semiotics, we move beyond static representationalism towards valuing data as dynamic medium of iconic, indexical, and symbolic significations. Our analysis of four governance practices illustrates how standardizing definitions, regulating quality, controlling access, and managing stewardship mediate different significations of data as assets with direct bearing on how governance is conceived and enacted. The paper contributes to data governance research by showing how the materiality of dynamic data assets demands flexible governance approaches to effectively harness contextual value. Semiotic mediation offers a theoretically coherent, but practically applicable scaffold for valuing data as assets and open new avenues for data governance research.

在组织中，数据通过促进决策制定、知识创造和战略制定的洞察力，与价值紧密联系在一起。然而，将数据视为“资产”的传统数据治理框架通常假设数据是具有内在价值的静态实体，可以由企业拥有。这种假设越来越站不住脚，因为数据是动态的，并且跨上下文获得价值，为治理带来了新的挑战。在本文中，我们提出了符号学中介来概念化和管理作为资产的数据。借鉴法国符号学，我们超越了静态表征主义，将数据视为具有标志性、索引性和象征性意义的动态媒介。我们对四种治理实践的分析说明了标准化定义、调节质量、控制访问和管理管理如何调解数据作为资产的不同含义，并直接影响如何构思和制定治理。本文通过展示动态数据资产的重要性如何需要灵活的治理方法来有效地利用上下文价值，为数据治理研究做出了贡献。符号学中介提供了一个理论上连贯但实际适用的框架，用于将数据作为资产进行评估，并为数据治理研究开辟了新的途径。

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引用次数: 0

Ethics in the world of automated algorithmic decision-making – A Posthumanist perspective 自动算法决策世界中的伦理——后人类主义视角

IF 5.7 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Information and Organization

Pub Date : 2025-07-07 DOI: 10.1016/j.infoandorg.2025.100587

Dubravka Cecez-Kecmanovic

The grand humanist project of technological advancements has culminated in fascinating intelligent technologies and AI-based automated decision-making systems (ADMS) that replace human decision-makers in complex social processes. Widespread use of ADMS, underpinned by humanist values and ethics, it is claimed, not only contributes to more effective and efficient, but also to more objective, non-biased, fair, responsible, and ethical decision-making. Growing literature however shows paradoxical outcomes: ADMS use often discriminates against certain individuals and groups and produces detrimental and harmful social consequences. What is at stake is the reconstruction of reality in the image of ADMS, that threatens our existence and sociality. This presents a compelling motivation for this article which examines a) on what bases are ADMS claimed to be ethical, b) how do ADMS, designed and implemented with the explicit aim to act ethically, produce individually and socially harmful consequences, and c) can ADMS, or more broadly, automated algorithmic decision-making be ethical. This article contributes a critique of dominant humanist ethical theories underpinning the development and use of ADMS and demonstrates why such ethical theories are inadequate in understanding and responding to ADMS' harmful consequences and emerging ethical demands. To respond to such ethical demands, the article contributes a posthumanist relational ethics (that extends Barad's agential realist ethics with Zigon's relational ethics) that enables novel understanding of how ADMS performs harmful effects and why ethical demands of subjects of decision-making cannot be met. The article also explains why ADMS are not and cannot be ethical and why the very concept of automated decision-making in complex social processes is flowed and dangerous, threatening our sociality and humanity.

技术进步的宏大人文主义项目在令人着迷的智能技术和基于人工智能的自动决策系统（ADMS）中达到了顶峰，这些系统在复杂的社会过程中取代了人类决策者。在人文主义价值观和伦理的基础上，广泛使用ADMS不仅有助于提高效率和效率，而且有助于更客观、无偏见、公平、负责任和合乎道德的决策。然而，越来越多的文献显示出矛盾的结果：ADMS的使用往往歧视某些个人和群体，并产生有害的社会后果。危在旦夕的是在ADMS的形象中重建现实，这威胁着我们的生存和社会。这为本文提供了一个令人信服的动机，本文将探讨a) ADMS声称是合乎道德的基础，b) ADMS是如何设计和实施的，以明确的道德行为为目标，产生对个人和社会有害的后果，以及c) ADMS，或者更广泛地说，自动算法决策是合乎道德的。本文对支持ADMS发展和使用的主流人文主义伦理理论进行了批判，并论证了为什么这些伦理理论不足以理解和应对ADMS的有害后果和新兴的伦理要求。为了回应这样的伦理要求，本文提出了一种后人类主义的关系伦理学（将巴拉德的代理现实主义伦理学与西贡的关系伦理学相扩展），使人们能够对ADMS如何产生有害影响以及为什么决策主体的伦理要求不能得到满足有新的理解。这篇文章还解释了为什么ADMS不是也不可能是道德的，为什么在复杂的社会过程中自动决策的概念是流动的和危险的，威胁着我们的社会和人性。

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引用次数: 0

Unpacking AI at work: Data work, knowledge work, and values work 解析工作中的人工智能：数据工作、知识工作和价值观工作

IF 5.7 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Information and Organization

Pub Date : 2025-07-02 DOI: 10.1016/j.infoandorg.2025.100584

Elmira van den Broek

The rise of data-driven artificial intelligence (AI) technologies has sparked intense debates about their implications for work. These discussions often portray AI as an agentic force that turns data into knowledge and ultimately, “better” decisions, casting shadows over the labor that sustains and supports these technologies. This paper argues that to develop a grounded understanding of how AI contributes to transformations in the workplace, we must unpack AI at work, that is, how algorithms are shaped by, and in turn, shape everyday work practices. Building on a longstanding tradition of research that examines the interplay between technology and work, this study foregrounds three types of work that gain renewed significance in the context of AI: data work, knowledge work, and values work. Drawing on the empirical example of hiring, this study illustrates how these forms of work are critical not only for understanding how AI technologies are brought to life but also for recognizing deeper, often unforeseen changes in the workplace. By surfacing the hidden, interrelated, and ever-evolving nature of work for AI, the AI at work lens put forward in this study offers critical implications for information systems and organizational research, as well as practical insights for practitioners, policymakers, and regulators.

数据驱动型人工智能（AI）技术的兴起引发了关于其对工作影响的激烈争论。这些讨论通常将人工智能描述为一种将数据转化为知识并最终“更好”决策的代理力量，为维持和支持这些技术的劳动力蒙上了阴影。本文认为，为了对人工智能如何促进工作场所的变革有一个有根据的理解，我们必须在工作中解开人工智能，也就是说，算法是如何被日常工作实践塑造的，反过来又塑造了日常工作实践。在研究技术与工作之间相互作用的长期传统的基础上，本研究展望了在人工智能背景下重新获得重要意义的三种类型的工作：数据工作、知识工作和价值工作。本研究以招聘为例，说明了这些形式的工作不仅对理解人工智能技术如何融入生活至关重要，而且对认识工作场所更深层次的、往往不可预见的变化也至关重要。通过揭示人工智能工作的隐藏、相互关联和不断发展的本质，本研究提出的人工智能工作视角为信息系统和组织研究提供了重要意义，并为从业者、政策制定者和监管机构提供了实用见解。

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引用次数: 0