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Do CEOs matter? Divergent impact of CEO power on digital and non-digital innovation 首席执行官重要吗?CEO 权力对数字创新和非数字创新的不同影响
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-11-15 DOI: 10.1016/j.jsis.2024.101875
Inmyung Choi , Min-Seok Pang
Digital innovation is ubiquitous across a wide range of industries, blurring the boundary between traditional and technology industries. An increasing number of firms in traditional industries such as manufacturing, retail, or service now regard themselves as technology companies. In this study, drawing on corporate governance literature, we develop a theoretical framework for the relationship between CEO power and digital innovation. We posit that a more powerful CEO more effectively directs risky digital innovation, leads change management, and resolves conflicts within a firm’s digital and business sides. We find that a more powerful CEO can drive digital innovation to a greater extent. Interestingly, this relationship is weakened by a board of directors’ external social capital but strengthened by the board’s internal social capital. Surprisingly, CEO power is negatively associated with the firm’s non-digital innovation. Our research significantly contributes to the literature on strategic information systems (SIS) on multiple fronts and offers meaningful managerial insights for organizations aiming to innovate using digital technologies.
数字创新在各行各业无处不在,模糊了传统行业与技术行业之间的界限。越来越多的制造业、零售业或服务业等传统行业的公司现在将自己视为科技公司。在本研究中,我们借鉴公司治理文献,为首席执行官权力与数字创新之间的关系建立了一个理论框架。我们认为,一个更有权力的首席执行官能更有效地指导有风险的数字化创新,领导变革管理,并解决公司数字化和业务方面的冲突。我们发现,更有权力的首席执行官能在更大程度上推动数字创新。有趣的是,董事会的外部社会资本削弱了这种关系,而董事会的内部社会资本则加强了这种关系。令人惊讶的是,首席执行官的权力与企业的非数字化创新呈负相关。我们的研究在多个方面为战略信息系统(SIS)方面的文献做出了重要贡献,并为旨在利用数字技术进行创新的组织提供了有意义的管理见解。
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引用次数: 0
A knowledge-centric model for government-orchestrated digital transformation among the microbusiness sector 以知识为中心的政府协调微型企业数字化转型模式
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-11-11 DOI: 10.1016/j.jsis.2024.101870
Anuragini Shirish , Shirish C. Srivastava , Niki Panteli , John O’Shanahan
Most prior public sector digital transformation (DT) research has examined the role of digitalization in improving either the internal operational efficiency of the government or the quality of government service delivery to external stakeholders such as citizens and businesses. Although policy-driven digitalization of specific sectors is key for promoting public value, government’s role in orchestrating extra-government digitalization initiatives to create public value has not been sufficiently investigated. To address this perceptible void in the public sector DT literature, we study a government-led DT program designed to promote digitalization among microbusinesses (MB), a sector that has major economic and social implications. Given the significant role of technical and business knowledge in facilitating enterprise DT, we examine and theorize different knowledge mechanisms through which government policy initiatives can help foster MBs’ DT. Drawing on qualitative data from a series of structured interviews and focus groups with government agents, digital champions, and MB owner-managers involved in the implementation of a government-led DT program for MBs in Ireland, among the different DT stakeholders, we identify three knowledge pathways playing different knowledge-related roles and aiming to facilitate this transformation: top-down, bottom-up, and multidirectional. Each pathway comprises distinct practices. Collectively, the identified knowledge mechanisms in the DT program knowledge ecosystem foster social value creation for both MBs and government stakeholders, and therefore for the nation as a whole. Specifically, sustenance of the DT program is achieved through “initiation” and “instantiation” knowledge routes. Our findings offer theoretical contributions to the literatures on government-led digital transformations, effectiveness of government-led digital initiatives, and digital transformation in the MB sector. Our study also has significant implications for policy and practice.
此前的公共部门数字化转型(DT)研究大多探讨了数字化在提高政府内部运营效率或政府向公民和企业等外部利益相关者提供服务质量方面的作用。虽然政策驱动的特定部门数字化是提升公共价值的关键,但政府在协调政府外数字化倡议以创造公共价值方面的作用还没有得到充分研究。为了解决公共部门数字化文献中的这一明显空白,我们研究了一项由政府主导的数字化项目,该项目旨在促进微型企业(MB)的数字化,而微型企业是一个具有重大经济和社会影响的行业。鉴于技术和商业知识在促进企业数字化转型中的重要作用,我们研究了政府政策措施可以帮助促进微型企业数字化转型的不同知识机制,并将其理论化。我们从一系列结构化访谈和焦点小组中获得的定性数据中,借鉴了参与爱尔兰由政府主导的甲基溴研发计划实施工作的政府人员、数字拥护者和甲基溴所有者管理者等不同研发利益相关者的观点,确定了三种发挥不同知识相关作用并旨在促进这一转变的知识途径:自上而下、自下而上和多向途径。每种途径都包含不同的实践。总体而言,在 DT 计划知识生态系统中确定的知识机制促进了甲基溴和政府利益相关者的社会价值创造,从而促进了整个国家的社会价值创造。具体来说,通过 "启动 "和 "实例化 "知识途径实现了 DT 计划的持续发展。我们的研究结果为有关政府主导的数字化转型、政府主导的数字化倡议的有效性以及甲基溴行业的数字化转型的文献提供了理论贡献。我们的研究还对政策和实践具有重要意义。
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引用次数: 0
A process model for design-oriented machine learning research in information systems 面向设计的信息系统机器学习研究流程模型
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-10-29 DOI: 10.1016/j.jsis.2024.101868
Hamed Zolbanin , Benoit Aubert
This paper proposes a process model for design-oriented machine learning (DS-ML) research in the area of information systems (IS). As DS-ML studies become more prevalent in addressing complex business and societal challenges, there is a need for a standardized framework to conduct, communicate, and evaluate such research. We integrate elements from the design science research (DSR) process model, action design research (ADR), and the Cross Industry Standard Process for Data Mining (CRISP-DM) to develop a comprehensive Machine Learning Process Model (MLPM) tailored for academic DS-ML studies. The MLPM outlines eight key phases, including: problem identification; objective formulation; data understanding; data preparation; design, development, and refinement; evaluation; reflection and learning; and communication. We discuss the unique aspects of each phase in the context of DS-ML research and highlight the iterative nature of the process. By providing this structured approach, we aim to enhance the rigor, transparency, and comparability of DS-ML studies in IS research. This model serves as a step towards establishing consistent standards for DS-ML research, facilitating its integration into mainstream IS literature, and unlocking new opportunities for innovation and impact in the field.
本文为信息系统(IS)领域的面向设计的机器学习(DS-ML)研究提出了一个流程模型。随着 DS-ML 研究在应对复杂的商业和社会挑战方面变得越来越普遍,我们需要一个标准化的框架来开展、交流和评估此类研究。我们整合了设计科学研究(DSR)流程模型、行动设计研究(ADR)和数据挖掘跨行业标准流程(CRISP-DM)中的元素,开发出一套专为 DS-ML 学术研究量身定制的综合机器学习流程模型(MLPM)。MLPM 概述了八个关键阶段,包括:问题识别;目标制定;数据理解;数据准备;设计、开发和完善;评估;反思和学习;以及交流。我们讨论了 DS-ML 研究中每个阶段的独特之处,并强调了这一过程的反复性。通过提供这种结构化方法,我们旨在提高信息系统研究中 DS-ML 研究的严谨性、透明度和可比性。这一模式是为 DS-ML 研究建立统一标准、促进其融入主流信息系统文献、为该领域的创新和影响开启新机遇的一个步骤。
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引用次数: 0
A socio-cognitive perspective of knowledge integration in digital innovation networks 从社会认知角度看数字创新网络中的知识整合
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-10-25 DOI: 10.1016/j.jsis.2024.101871
Stephen McCarthy , Paidi O’Raghallaigh , Carol Kelleher , Frédéric Adam
Digital innovation is a complex process in which actors seek to create new value pathways by combining digital resources in a layered modular architecture. While IS scholarship has a rich tradition of research on developing and implementing digital artefacts within intra-organisational contexts, our understanding of knowledge integration across distributed innovation networks is nascent and under-theorised. This is an important area of research given the rising importance of digital innovation networks and the challenges faced in integrating specialised knowledge, especially given the greater diversity, speed, reach, and scope made possible by digital technologies. Drawing on in-depth case study findings from a health IoT project involving multiple organisations and disciplines, we explore how knowledge is integrated across boundaries during the initiation stage of a digital innovation network. Our findings point to boundaries related to the digital platform’s organising vision, resource allocation, delivery roadmap, technical architecture, and intellectual property, to name but a few challenges. We then reveal five socio-cognitive modes of knowledge integration which actors strategically enact to cross syntactic, semantic, and pragmatic boundaries: Signalling, Assembling, Contesting, Discounting, and Finalising. The choice of mode depends on the perceived knowledge status (‘what they know’) and social status (‘who they are’) of network actors, which highlight the salience of both social and cognitive dependencies for knowledge integration. We further discuss the contribution of design objects for overcoming differences and distinctions between specialist actors in a digital innovation network.
数字创新是一个复杂的过程,在这一过程中,参与者通过在分层模块架构中组合数字资源来创造新的价值途径。虽然信息和通信技术学术界对在组织内部环境中开发和实施数字化人工制品有着丰富的研究传统,但我们对分布式创新网络中知识整合的理解却刚刚起步,理论化程度不足。鉴于数字创新网络的重要性日益凸显,以及整合专业知识所面临的挑战,尤其是数字技术带来的更大多样性、速度、影响力和范围,这是一个重要的研究领域。通过对一个涉及多个组织和学科的健康物联网项目的深入案例研究,我们探讨了在数字创新网络的启动阶段,知识是如何跨界整合的。我们的研究结果指出了与数字平台的组织愿景、资源分配、交付路线图、技术架构和知识产权相关的界限,仅举几例。然后,我们揭示了知识整合的五种社会认知模式,参与者通过这些模式战略性地跨越句法、语义和实用边界:这些模式是:发出信号(Signalling)、组合(Assembling)、争论(Contesting)、折扣(Discounting)和最终确定(Finalising)。模式的选择取决于网络行动者的感知知识地位("他们知道什么")和社会地位("他们是谁"),这凸显了知识整合的社会和认知依赖性的显著性。我们进一步讨论了设计对象在克服数字创新网络中专业参与者之间的差异和区别方面的贡献。
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引用次数: 0
Is AI a strategic IS? Reflections and opportunities for research 人工智能是战略性基础设施服务吗?思考与研究机会
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-10-25 DOI: 10.1016/j.jsis.2024.101866
Shan-Ling Pan , Rohit Nishant , Tuure Tuunanen , Jyoti Choudrie
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引用次数: 0
The complementary and substitutional effects of forced and emergent mechanisms in multisourcing 强迫机制和新兴机制在多方采购中的互补和替代效应
IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-10-22 DOI: 10.1016/j.jsis.2024.101869
Eleni Lioliou , Oliver Krancher , Ilan Oshri
This paper examines the effect of forced and emergent competition- and cooperation-enhancing mechanisms on joint multisourcing performance. We draw on research on coopetition in IS multisourcing and the literature on the crowding-out effect to theorise the interplay between these mechanisms. We argue that the key to understanding whether these mechanisms complement or substitute each other lies in the distinction between forced and emergent mechanisms, as these respectively invoke either an economic or a social logic among vendors. We test these ideas through a survey study of 108 multisourcing arrangements. Our results show that while a forced competition and an emergent cooperation mechanism can individually improve joint performance in multisourcing, the co-existence of economic and social logics results in a substitutional effect. A complementary effect is achieved when competition and cooperation mechanisms are of the same logic. Our study extends the existing IS outsourcing literature by shedding light on the role of forced and emergent mechanisms, either as competition or cooperation-enhancing, in enhancing multisourcing performance.
本文探讨了强制和新出现的竞争与合作促进机制对联合多方外包绩效的影响。我们借鉴了有关 IS 多方采购中的合作竞争的研究以及有关挤出效应的文献,对这些机制之间的相互作用进行了理论分析。我们认为,理解这些机制是相互补充还是相互替代的关键在于区分强制机制和突发机制,因为这些机制分别在供应商中引发了经济逻辑或社会逻辑。我们通过对 108 个多外包安排的调查研究来验证这些观点。我们的研究结果表明,虽然强制竞争机制和新兴合作机制可以单独提高多方采购的联合绩效,但经济逻辑和社会逻辑的并存会产生替代效应。当竞争机制和合作机制的逻辑相同时,就会产生互补效应。我们的研究扩展了现有的信息系统外包文献,揭示了强制机制和新兴机制在提高多方外包绩效中的作用,无论是竞争机制还是合作促进机制。
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引用次数: 0
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
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Journal of Strategic Information Systems
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