Journal of Strategic Information Systems最新文献

英文中文

How user participation in the self-governance of online communities affects knowledge contribution: Empirical evidence from a large-scale social Q&A platform

IF 8.7 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Strategic Information Systems

Pub Date : 2025-02-16 DOI: 10.1016/j.jsis.2025.101889

Yusheng Zhou , Lei Zhu , Chuanhui Wu , Qun Wang , Qinjian Yuan

Some online communities built on user-generated content have implemented user participation in self-governance to increase content compliance while saving operational costs. However, there is little knowledge on the impact of user participation in self-governance, particularly regarding users’ content contributions. Drawing on social cognitive theory, this study examined the impact of users’ participation in self-governance on knowledge contribution in an online Q&A community, as well as how the user’s social status and activity level may modify this impact. We obtained a rich sample from a major online Q&A community in China and tested our hypotheses employing multiple identification methods and robustness tests. We found that participation in self-governance decreases the quantity but increases the quality of users’ knowledge contributions. In addition, users’ social status and activity level were found to weaken the effect of participation in self-governance on knowledge contribution. The insights derived from this study are crucial for online communities heavily relying on user-generated content. By understanding the mechanics of the impact of user participation in self-governance, online communities can improve their content management strategies and strike a trade-off between knowledge generation and moderation.

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引用次数: 0

The role of use for the business value of big data analytics

IF 8.7 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Strategic Information Systems

Pub Date : 2025-02-11 DOI: 10.1016/j.jsis.2025.101888

Yi-Ting Yeh , Rebekah Eden , Erwin Fielt , Rehan Syed

Big data analytics (BDA) has attracted significant attention from organisations who are seeking to leverage its analytical capabilities to enhance performance. Yet, most BDA investments fail to realise their expected value, indicating that the path for BDA value creation remains unclear; scholars call for a better understanding of the role of BDA use. Therefore, we seek to answer the research question: How does the use of BDA impact business value? We conducted a developmental literature review, resulting in the conceptualisation of the BDA-Use-Value (BDA-UV) framework. The framework consists of 10 constructs: BDA system capabilities, BDA use, BDA users and tasks, BDA organisational capabilities, complementary organisational resources, BDA learning, goal-oriented activities, intermediate outcomes, ultimate outcomes, and the internal and external environment. The framework also includes 10 propositions, which illuminate the relationships within the BDA value chain, BDA learning loop, and BDA context. This research contributes to theory by providing a consolidated view of disparate yet commensurate research streams (business value of IT and system use) and is critical in the BDA context where organisations are struggling to leverage BDA’s informating potential to derive value.

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引用次数: 0

Welcome to the first issue of Volume 34 of the Journal of Strategic Information Systems

IF 8.7 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Strategic Information Systems

Pub Date : 2025-01-27 DOI: 10.1016/j.jsis.2025.101887

Yolande E. Chan JSIS Editor-in-Chief

引用次数: 0

Responsible artificial intelligence governance: A review and research framework 负责任的人工智能治理：一个回顾与研究框架

IF 8.7 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Strategic Information Systems

Pub Date : 2025-01-03 DOI: 10.1016/j.jsis.2024.101885

Emmanouil Papagiannidis , Patrick Mikalef , Kieran Conboy

The widespread and rapid diffusion of artificial intelligence (AI) into all types of organizational activities necessitates the ethical and responsible deployment of these technologies. Various national and international policies, regulations, and guidelines aim to address this issue, and several organizations have developed frameworks detailing the principles of responsible AI. Nevertheless, the understanding of how such principles can be operationalized in designing, executing, monitoring, and evaluating AI applications is limited. The literature is disparate and lacks cohesion, clarity, and, in some cases, depth. Subsequently, this scoping review aims to synthesize and critically reflect on the research on responsible AI. Based on this synthesis, we developed a conceptual framework for responsible AI governance (defined through structural, relational, and procedural practices), its antecedents, and its effects. The framework serves as the foundation for developing an agenda for future research and critically reflects on the notion of responsible AI governance.

人工智能（AI）广泛而迅速地扩散到所有类型的组织活动中，这就要求对这些技术进行道德和负责任的部署。各种国家和国际政策、法规和指导方针旨在解决这一问题，一些组织已经制定了详细介绍负责任的人工智能原则的框架。然而，对于如何在设计、执行、监控和评估人工智能应用中实现这些原则的理解是有限的。文献是分散的，缺乏凝聚力，清晰度，在某些情况下，深度。随后，这一范围审查旨在综合和批判性地反思负责任的人工智能研究。基于这种综合，我们为负责任的人工智能治理（通过结构、关系和程序实践定义）、其前提和影响开发了一个概念框架。该框架是制定未来研究议程的基础，并批判性地反思负责任的人工智能治理的概念。

引用次数: 0

Unboxing maturity models: A set-theoretic perspective on e-Government configurations over time 拆箱成熟度模型：电子政务配置的集合论视角

IF 8.7 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Strategic Information Systems

Pub Date : 2024-11-28 DOI: 10.1016/j.jsis.2024.101874

F. Iannacci , S. Karanasios , G. Viscusi , R. McManus , C. Rupietta , C.W. Tan

This study conceptualizes e-Government maturity from the theoretical lens of strategic change. Drawing on a multiplicity of theories, it undertakes a fuzzy-set Qualitative Comparative Analysis of the drivers of e-Government maturity over the 2010–2020 decade. It bypasses partially conflicting findings about the contribution of human capital to high levels of e-Government maturity by showcasing instead two configurations of conditions where human capital investments become a non-trivial necessary condition over time. Theoretical, methodological, and practical implications are discussed by zooming in on the configurational patterns emerging over time and, by extension, refining the notion of ‘turning point’ discussed in the literature.

本研究从战略变革的理论角度对电子政务成熟度进行了概念化。利用多种理论，本文对2010-2020年间电子政务成熟的驱动因素进行了模糊集定性比较分析。它通过展示人力资本投资随着时间的推移成为一个重要的必要条件的两种条件配置，绕过了关于人力资本对高水平电子政务成熟度的贡献的部分相互矛盾的发现。通过放大随着时间的推移而出现的配置模式，并通过扩展，精炼文献中讨论的“转折点”概念，讨论了理论、方法和实践意义。

引用次数: 0

Sustaining IT outsourcing performance during a systemic crisis: A configurational approach 在系统性危机期间维持 IT 外包绩效：配置方法

IF 8.7 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Strategic Information Systems

Pub Date : 2024-11-21 DOI: 10.1016/j.jsis.2024.101872

Ilan Oshri , Federica Angeli , Julia Kotlarsky , Jatinder S. Sidhu

The COVID-19 pandemic set off a systemic crisis that spread rapidly across the globe in early 2020, significantly affecting the outsourcing industry. Information Technology (IT) vendors as well as client firms found it challenging to maintain their performance levels. The Information Systems (IS) outsourcing literature, notably, had little insight to offer to client firms about effective IT outsourcing strategies for a systemic crisis. However, the literature did discuss two distinct yet interconnected logics for understanding IT outsourcing performance in non-crisis contexts. Whereas one logic revolves around the possession of strong internal capabilities, the other centers on the externalization of services. Building on this work, we develop a conceptual model to guide a configurational analysis centering on the sustenance of IT outsourcing performance during a systemic crisis. Based on the findings emerging from a fuzzy-set qualitative comparative analysis (fsQCA) of 200 companies across 13 countries, we theorize six organizational logics that client firms can consider to sustain IT outsourcing performance. These logics entail different combinations or configurations of client-firms’ IT outsourcing characteristics and the characteristics of the crisis faced. As systemic crises can engender more or less intense uncertainty, thus affecting the strategic options available to decisions makers, we also use our findings to theorize organizational logics that can enable performance sustenance during low, medium, and high severity crises. We discuss our research’s contributions to the IS outsourcing literature as well as its practical implications.

2020 年初，COVID-19 大流行引发了一场迅速蔓延全球的系统性危机，对外包行业造成了重大影响。信息技术（IT）供应商和客户公司都发现，保持业绩水平是一项挑战。值得注意的是，信息系统（IS）外包文献对客户公司应对系统性危机的有效 IT 外包战略几乎没有什么见解。不过，这些文献确实讨论了在非危机背景下理解信息技术外包绩效的两种截然不同但又相互关联的逻辑。一种逻辑围绕着拥有强大的内部能力，另一种逻辑则以服务外部化为中心。在此基础上，我们建立了一个概念模型，用于指导以系统危机期间 IT 外包绩效的维持为中心的配置分析。根据对 13 个国家 200 家公司进行的模糊集定性比较分析（fsQCA）得出的结论，我们从理论上提出了客户公司为维持 IT 外包绩效可以考虑的六种组织逻辑。这些逻辑需要客户企业的 IT 外包特征和所面临危机的特征的不同组合或配置。由于系统性危机会带来或多或少的不确定性，从而影响决策者的战略选择，因此我们还利用我们的研究结果，从理论上提出了在低、中、高严重性危机期间能够维持绩效的组织逻辑。我们将讨论我们的研究对信息系统外包文献的贡献及其实际意义。

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引用次数: 0

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

Journal of Strategic 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

Journal of Strategic 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

Journal of Strategic 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

Journal of Strategic 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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