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Welcome to the fourth issue of volume 33 of the Journal of Strategic Information Systems 欢迎阅读《战略信息系统期刊》第 33 卷第四期
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-10-21 DOI: 10.1016/j.jsis.2024.101867
Yolande E. Chan (JSIS Editor-in-Chief)
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引用次数: 0
Digital transformation in disaster management: A literature review 灾害管理中的数字化转型:文献综述
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-10-18 DOI: 10.1016/j.jsis.2024.101865
Diana Fischer-Preßler , Dario Bonaretti , Deborah Bunker
While there have been studies focused on digital transformation (DT) in industry, we lack an understanding of how it materializes in disaster management (DM). This research provides a literature review of IT-enabled and digital initiatives in DM and examines the potential for DT in the field. We analyzed 254 articles from six different disciplines on the use of digital technology in DM and then developed a framework that organizes the central concept of DT in DM around five key areas. Using this framework, we explain the key digital capabilities necessary in DM to develop and implement authority- or public-driven initiatives, articulate and demonstrate DT differences in the industry setting, and provide avenues for future research in this area.
虽然已有研究关注工业领域的数字化转型(DT),但我们对其如何在灾害管理(DM)中具体化还缺乏了解。本研究对灾害管理中的信息技术和数字化举措进行了文献综述,并探讨了该领域的数字化转型潜力。我们分析了来自六个不同学科的 254 篇关于在灾害管理中使用数字技术的文章,然后围绕五个关键领域建立了一个框架,将灾害管理中的数字技术这一核心概念组织起来。利用这一框架,我们解释了在 DM 中开发和实施由当局或公众驱动的计划所需的关键数字能力,阐明并展示了 DT 在行业环境中的差异,并为这一领域的未来研究提供了途径。
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引用次数: 0
Time to reassess data value: The many faces of data in organizations 是时候重新评估数据价值了:数据在组织中的多面性
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-10-09 DOI: 10.1016/j.jsis.2024.101863
Daisy Xu , Marta Indulska , Ida Asadi Someh , Graeme Shanks
Despite the substantial body of evidence detailing the multifaceted use of data within organizations, the conceptualizations of data and their value propositions remain disjointed and require updating. Information Systems scholars contend that the traditional ways of conceiving data now appear inadequate in framing this ever-evolving data-driven phenomenon. In this context, we argue for a reassessment of the fundamental assumptions about data in the field. This paper offers a comprehensive literature review, through which we conceptualize the role of data into four distinguishable types: data as a tool, as a commodity, as a practice, and as algorithmic intelligence. Each type possesses a set of identifiable characteristics, usage, and unique pathways of value creation. Together these elements form a typology, which provides an explanation for the intricate and complex nature of data use in organizations and the diverse sources of their value.
尽管有大量证据详细说明了数据在组织内部的多方面使用,但数据的概念及其价值主张仍然脱节,需要更新。信息系统学者们认为,传统的数据构想方式现在似乎不足以构建这一不断发展的数据驱动现象。在这种情况下,我们主张重新评估该领域对数据的基本假设。本文提供了一份全面的文献综述,通过这份综述,我们将数据的作用概念化为四种可区分的类型:作为工具的数据、作为商品的数据、作为实践的数据和作为算法智能的数据。每种类型都具有一系列可识别的特征、用途和独特的价值创造途径。这些要素共同构成了一种类型学,为组织中数据使用的错综复杂性质及其价值的不同来源提供了解释。
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引用次数: 0
Four roles of physicality in digital innovation: A theoretical review 物理性在数字创新中的四种作用:理论综述
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-09-30 DOI: 10.1016/j.jsis.2024.101862
Lucas Goebeler , Philipp Hukal , Xiao Xiao
In this theoretical review, we engage with empirical contributions to digital innovation scholarship to advance our understanding of physicality. Specifically, we develop a conceptualization of physicality grounded in work on the materiality of technology involving two facets: The focus on physicality – an artifact or an activity – and the criticality of physicality when theorizing digital innovation: as a primary or secondary factor. We use this framing to describe four different roles of physicality in the digital innovation literature – physicality as subject, vessel, context, or nexus of digital innovation. Each role of physicality provides a different perspective that, independently or jointly, serves research into emergent topics along the frontier of digital innovation phenomena. This paper thus contributes by consolidating and advancing the theoretical foundation for researchers wishing to attend to varying aspects of physicality when theorizing digital innovation.
在这篇理论综述中,我们结合数字创新学术研究的经验性贡献,推进我们对实体性的理解。具体来说,我们从技术的物质性工作中发展出一种物质性概念,它涉及两个方面:关注物理性--一种人工制品或一种活动--以及在理论化数字创新时物理性的关键性:作为主要或次要因素。我们利用这一框架来描述物理性在数字创新文献中的四种不同角色--物理性作为数字创新的主体、容器、背景或联系。物理性的每种角色都提供了不同的视角,可独立或共同服务于数字创新现象前沿的新兴课题研究。因此,本文的贡献在于为希望在理论化数字创新时关注物理性不同方面的研究人员巩固和推进理论基础。
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引用次数: 0
The whole of cyber defense: Syncing practice and theory 整体网络防御:实践与理论同步
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-09-25 DOI: 10.1016/j.jsis.2024.101861
Kristel M. de Nobrega , Anne-F. Rutkowski , Carol Saunders
This review explores the problems Chief Information Security Officers (CISOs) and other cyber professionals face when defending their organization against cyberattacks. Using a Cyber Defense Grid, which was developed based on military science and cybersecurity concepts and terminology, we coded 125 articles published in Information Systems (IS) journals. We also employed three avenues (i.e., lenses) from cybernetic theory to frame the coding results to derive cyber defense strategies. In particular, we propose three strategic cyber defense modes: reactive, heuristic, and proactive. Taken together, these three modes suggest ways in which organizations can react strategically within the whole cyber defense domain.
本综述探讨了首席信息安全官(CISO)和其他网络专业人员在组织防御网络攻击时面临的问题。我们使用基于军事科学和网络安全概念与术语开发的网络防御网格,对发表在信息系统(IS)期刊上的 125 篇文章进行了编码。我们还采用了控制论中的三个途径(即透镜)来构建编码结果,从而得出网络防御策略。特别是,我们提出了三种战略性网络防御模式:反应式、启发式和主动式。综合来看,这三种模式提出了组织在整个网络防御领域做出战略反应的方式。
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引用次数: 0
Harnessing the Potential of Artificial Intelligence: Affordances, Constraints, and Strategic Implications for Professional Services 利用人工智能的潜力:对专业服务的影响、制约因素和战略意义
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-09-22 DOI: 10.1016/j.jsis.2024.101864
Jiaqi Yang, Alireza Amrollahi, Mauricio Marrone
While Artificial Intelligence (AI) promises to transform business models and enable novel service propositions, it also ushers in intricate managerial challenges. To comprehend AI’s disruption as well as harness its potential, we conducted a developmental review of 92 scholarly works centred on financial auditing, the chosen professional service domain. Drawing on the corpus of literature, we applied the Technology Affordance and Constraints Theory (TACT) to dissect the opportunities and challenges that AI introduces to professional services. Our analysis led to conceptualising AI’s affordances and constraints for individual practitioners, firms, and professional associations within the auditing domain. Subsequently, we compared these with the affordances and constraints of typical non-AI, classic IT tools in the same domain, highlighting the disruptive essence of AI. Our findings further revealed the reciprocal and tensional relationship between AI affordances and constraints, where actualising AI affordance at the firm level may impose constraints on individual practitioners. Based on our findings, we argue for integrating AI into decision-making by practitioners, propose a dynamic view of task automation and augmentation for firms, and urge an AI-calibrated knowledge system for professional associations. This study contributes to both theory and practice, laying the foundation for a more nuanced discourse on the strategic significance of harnessing AI in professional services.
人工智能(AI)有望改变商业模式,实现新颖的服务主张,但同时也带来了错综复杂的管理挑战。为了理解人工智能的破坏性并利用其潜力,我们对所选专业服务领域--财务审计--为中心的 92 篇学术著作进行了发展性综述。在文献库的基础上,我们运用了技术承受力与约束理论(TACT)来剖析人工智能给专业服务带来的机遇和挑战。通过分析,我们提出了审计领域中个人从业者、公司和专业协会对人工智能的承受能力和制约因素的概念。随后,我们将其与同一领域中典型的非人工智能、传统 IT 工具的能力和限制进行了比较,突出了人工智能的颠覆性本质。我们的研究结果进一步揭示了人工智能可负担性与限制之间的互惠和紧张关系,即在公司层面实现人工智能可负担性可能会对从业人员个人造成限制。基于我们的研究结果,我们主张将人工智能融入从业人员的决策中,为企业提出了任务自动化和增强的动态观点,并敦促专业协会建立人工智能校准知识系统。本研究对理论和实践都有所贡献,为更细致地讨论在专业服务领域利用人工智能的战略意义奠定了基础。
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引用次数: 0
Digital transformation of the public sector: Designing strategic information systems 公共部门的数字化转型:设计战略信息系统
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-27 DOI: 10.1016/j.jsis.2024.101853
Lemuria Carter, Kevin C. Desouza, Gregory S. Dawson, Theresa Pardo
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引用次数: 0
Welcome to the third issue of Volume 33 of the Journal of Strategic Information Systems 欢迎阅读《战略信息系统期刊》第 33 卷第三期
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-26 DOI: 10.1016/j.jsis.2024.101852
Yolande E. Chan (JSIS Editor-in-Chief)
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引用次数: 0
Open data platforms: Design principles for embracing outlaw innovators 开放数据平台:接纳非法创新者的设计原则
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-20 DOI: 10.1016/j.jsis.2024.101850
Daniel Rudmark , Rikard Lindgren , Ulrike Schultze

Open data platforms freely provide citizens with access to public data, thus enabling improved governance transparency, enhanced public services, and increased civic engagement. However, unlocking the potential of this digital transformation strategy requires that public institutions manage the tension between public and private interests. Furthermore, even when public institutions break down traditional barriers for citizens’ access to data, the potential users often lack the knowledge to leverage it in meaningful ways. Open data platforms therefore tend to fall short of expectations. Leveraging a 10-year action design research study (ADR) in the Swedish Transport Administration (STA), this paper develops design principles for creating value-generating open data platforms in the public domain. The ADR project was initiated to assist STA in its efforts to deal with outlaw innovators who scraped train data from different websites to develop travel apps. Through three iterative design cycles that eventually led to the formation of a new open data platform, the outlaw innovators increasingly became valued partners in the digital transformation process. Theorizing this development process, this paper offers three design principles that provide guidance to public institutions aspiring to digitally transform by making public data accessible. We also reflect upon how these institutions might mitigate the risks associated with partnering with outlaw innovators in the pursuit of an open data strategy.

开放数据平台免费为公民提供获取公共数据的途径,从而提高治理透明度,加强公共服务,提高公民参与度。然而,要释放这一数字化转型战略的潜力,公共机构必须处理好公共利益与私人利益之间的矛盾。此外,即使公共机构打破了公民获取数据的传统障碍,潜在用户也往往缺乏以有意义的方式利用数据的知识。因此,开放数据平台往往达不到预期目标。本文利用瑞典交通管理局(STA)为期 10 年的行动设计研究(ADR),提出了在公共领域创建可产生价值的开放数据平台的设计原则。ADR 项目的启动是为了帮助瑞典交通管理局应对不法创新者,这些创新者从不同的网站获取火车数据来开发旅行应用程序。通过三个迭代设计周期,最终形成了一个新的开放数据平台,非法创新者逐渐成为数字化转型过程中的重要合作伙伴。通过对这一发展过程进行理论分析,本文提出了三条设计原则,为希望通过开放公共数据实现数字化转型的公共机构提供指导。我们还思考了这些机构在实施开放数据战略的过程中如何降低与非法创新者合作的风险。
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引用次数: 0
Liminal digital transformation in public sector: The case of UK policing 公共部门的边缘数字化转型:英国警务案例
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-17 DOI: 10.1016/j.jsis.2024.101851
Emma Gritt , Emma Forsgren , Krsto Pandza

For many public sector organisations, digital transformation is a strategic priority. However, there is limited understanding of how everyday practices shape such large-scale transformation. To address this, we adopt a strategy-as-practice approach to capture the ‘doings’ of strategy on the ground and the role this plays in large-scale transformation. We conducted an in-depth interpretive case study on UK policing and collected rich data from multiple sources. This is an important context as the police face increasing demands to deliver digital transformation while maintaining a high level of service to protect the public. Our findings reveal that public sector organisations like the police find themselves in a state of liminal digital transformation. We conceptualise this liminality as incomplete, contested, and localised, due to the specific conditions in the strategy practices: openness of strategy, ambiguity in rules and norms, and interdependencies across organisational boundaries. We theorise this relationship in a model of ‘liminal digital transformation’ and propose a set of propositions. By doing so, our research introduces a novel perspective on digital transformation in the public sector and how it is shaped by everyday strategising practices.

对于许多公共部门组织来说,数字化转型是一项战略重点。然而,人们对日常实践如何影响这种大规模转型的了解却很有限。为了解决这个问题,我们采用了一种 "战略即实践 "的方法来捕捉战略在实际中的 "实践",以及这种实践在大规模转型中的作用。我们对英国警务进行了深入的解释性案例研究,并从多个来源收集了丰富的数据。这是一个重要的背景,因为警方面临着越来越多的要求,既要实现数字化转型,又要保持高水平的服务以保护公众。我们的研究结果表明,像警察这样的公共部门组织正处于数字化转型的边缘状态。由于战略实践中的特定条件:战略的开放性、规则和规范的模糊性以及跨组织边界的相互依赖性,我们将这种边缘性概念化为不完整、有争议和本地化。我们在 "边缘数字化转型 "模型中将这种关系理论化,并提出了一系列命题。通过这样做,我们的研究为公共部门的数字化转型以及日常战略实践如何塑造数字化转型引入了一个新的视角。
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引用次数: 0
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Journal of Strategic Information Systems
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