Journal of Innovation & Knowledge最新文献_第4页

AI-driven HRM digitization in effect: Mechanisms, conditions, and employee outcomes 人工智能驱动的人力资源管理数字化：机制、条件和员工成果

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2026-01-02 DOI: 10.1016/j.jik.2025.100919

Ahsan Ali , Dariusz Cichoń , Asad Abbas

Artificial intelligence (AI) is increasingly used in contemporary organizations as a tool for digitizing systems and reconfiguring key functions such as human resource management (HRM). However, not all employees exposed to AI-driven HRM digitization benefit equally in their capacity to generate innovative outcomes. Drawing on self-determination theory and integrating perspectives from organizational learning, this study advances a moderated mediation model that explains how and when AI-enabled HRM digitization fosters innovation. We propose that, while AI-driven HRM practices can stimulate the metacognitive strategies of employees, the extent to which these strategies translate into enhanced innovation depends critically on their tacit knowledge awareness. In this proposal, we highlight the paradoxical nature of algorithmic systems: they may serve as autonomy-supportive tools that encourage exploration and self-directed learning or as autonomy-controlling mechanisms that intensify monitoring and reduce intrinsic motivation. Using a multi-wave, multi-source field study of Chinese employees and supervisors (N = 347), we found that AI-driven HRM positively predicts innovation through metacognitive strategies, but only when employees demonstrate high levels of tacit knowledge awareness. When awareness is low, AI-HRM digitization fails to enhance innovation, which reveals the limitations of digital HRM effectiveness. These findings underscore that tacit knowledge awareness fundamentally conditions how AI-driven HRM digitization supports or undermines innovation, which advances theory by extending self-determination perspectives to technology-mediated HRM. Thus, this study discusses the theoretical and practical implications for designing AI-enabled HRM systems that balance algorithmic control with employee autonomy.

人工智能（AI）越来越多地用于现代组织，作为数字化系统和重新配置关键功能（如人力资源管理（HRM））的工具。然而，并不是所有接受人工智能驱动的人力资源管理数字化的员工在产生创新成果的能力上都能同样受益。利用自我决定理论并整合组织学习的观点，本研究提出了一个有调节的中介模型，该模型解释了人工智能支持的人力资源管理数字化如何以及何时促进创新。我们认为，虽然人工智能驱动的人力资源管理实践可以激发员工的元认知策略，但这些策略转化为增强创新的程度关键取决于他们的隐性知识意识。在本提案中，我们强调了算法系统的矛盾本质：它们可以作为鼓励探索和自主学习的自主支持工具，也可以作为加强监控和减少内在动机的自主控制机制。通过对中国员工和主管（N = 347）的多波、多源实地研究，我们发现人工智能驱动的人力资源管理通过元认知策略积极预测创新，但只有当员工表现出高水平的隐性知识意识时。在认知度较低的情况下，人工智能人力资源管理数字化并不能增强创新能力，从而暴露出数字化人力资源管理有效性的局限性。这些发现强调，隐性知识意识从根本上决定了人工智能驱动的人力资源管理数字化如何支持或破坏创新，这通过将自决视角扩展到技术介导的人力资源管理来推进理论。因此，本研究讨论了设计人工智能支持的人力资源管理系统的理论和实践意义，以平衡算法控制与员工自主权。

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引用次数: 0

AI adoption in HR: AI trust in digitally lagging organisations 人工智能在人力资源中的应用：对数字落后组织的人工智能信任

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2025-12-18 DOI: 10.1016/j.jik.2025.100912

Alessia Zoppelletto , Ludovico Bullini Orlandi , Eleonora Veglianti , Cecilia Rossignoli

Artificial intelligence (AI) holds transformative potential for human resources (HR), yet its adoption remains limited, particularly within the broader context of digital transformation (DT). Although trust is widely recognised as a critical enabler of AI adoption, little is known about the organisational conditions under which this trust develops, especially in firms with low digital maturity. This study investigates how configurations of organisational factors, namely technology, digital skills, culture supporting DT and HR’s involvement in DT initiatives, can shape trust in AI adoption within HR practices. The methodological approach followed two steps: (1) the questionnaire design was validated through insights derived from interviews conducted during a case study analysis, and (2) a fuzzy-set qualitative comparative analysis using survey data was employed. The findings contribute to shedding light on trust enablers and hindering factors that positively influence AI adoption in HR practices. Results show that trust can emerge even in digitally less mature firms when HR functions are strategically involved in broader DT initiatives. Conversely, HR digital skills and functional involvement together with cultural readiness can foster trust independently without top-down managerial involvement. These findings challenge conventional assumptions that digital maturity and leadership engagement are conditions for fostering trust in the adoption of new technologies. By uncovering multiple pathways to trust, this study contributes theoretically by framing trust as a configurational, organisational-level outcome. This work aims to advance the discourse on technological innovation in HR, providing valuable insights for practitioners and scholars to support digitally lagging organisations navigating the challenges of AI adoption.

人工智能（AI）对人力资源（HR）具有变革潜力，但其应用仍然有限，特别是在更广泛的数字化转型（DT）背景下。尽管信任被广泛认为是人工智能采用的关键推动因素，但人们对这种信任发展的组织条件知之甚少，特别是在数字成熟度较低的公司中。本研究调查了组织因素的配置，即技术、数字技能、支持DT的文化和人力资源参与DT计划，如何在人力资源实践中塑造对人工智能采用的信任。研究方法分为两个步骤：(1)通过案例分析过程中访谈所得的见解对问卷设计进行验证；(2)使用调查数据进行模糊集定性比较分析。这些发现有助于揭示信任促成因素和阻碍因素，这些因素对人力资源实践中人工智能的采用产生了积极影响。结果表明，当人力资源职能战略性地参与更广泛的数字化创新计划时，信任甚至可以在数字不太成熟的公司中出现。相反，人力资源数字技能和职能参与以及文化准备可以独立地培养信任，而无需自上而下的管理参与。这些发现挑战了传统的假设，即数字成熟度和领导参与是促进对采用新技术的信任的条件。通过揭示信任的多种途径，本研究通过将信任框架化为配置的、组织层面的结果，在理论上做出了贡献。这项工作旨在推动人力资源技术创新的讨论，为从业者和学者提供有价值的见解，以支持数字落后的组织应对人工智能采用的挑战。

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引用次数: 0

From fragmentation to interoperability: How semantic models transform environmental, social, governance (ESG) reporting, knowledge, and sustainability governance 从碎片化到互操作性：语义模型如何转变环境、社会、治理（ESG）报告、知识和可持续性治理

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2025-12-17 DOI: 10.1016/j.jik.2025.100924

Annas Vijaya , Faris Dzaudan Qadri , Linda Salma Angreani , Hendro Wicaksono

Environmental, social, and governance (ESG) reporting faces persistent challenges, including fragmented standards, inconsistent metrics, misalignment with global sustainability goals, and limited stakeholder usability. Numerous studies prove that ontology-based solutions can address several challenges that occur during ESG reporting activities. Although semantic technologies offer valuable benefits for ESG reporting, their utilization in this field remains constrained. Most ontology-based solutions remain in developmental stages, and they are not broadly utilized since organizations lack an understanding of how these tools would help address their reporting problems. This study performs a systematic literature review (SLR) that investigates 19 peer-reviewed studies obtained from Scopus and Web of Science under Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) standards. The SLR identifies critical gaps: (1) existing ontology-driven solutions can address key problems in current ESG reporting; (2) quantitative evaluation methods are rarely integrated with semantic tools, limiting actionable insights; and (3) alignment with evolving standards like the Sustainable Development Goals (SDGs) remains superficial. Based on the SLR insights, this research develops a novel framework through SLR findings by combining ontology-driven methods with quantitative assessment techniques. The framework achieves standardization of various reporting standards through an ESG ontology system that maps essential concepts to build an extensive taxonomy. SDG targets become mutually compatible through established SDG ontologies to allow businesses to measure their activities against international sustainability goals. Fuzzy Multi-Criteria Decision-Making (MCDM) techniques used in combination with an ESG maturity model create quantitative measures to assess ESG performance. The method produces measurable performance indicators that are supported by clear semantic links that allow valid benchmark assessments combined with better data unification and improved decision-making capabilities. The research creates operational frameworks that enable ESG information interoperability, which advance sustainability governance innovation and guide ESG ontology transformations.

环境、社会和治理（ESG）报告面临着持续的挑战，包括支离破碎的标准、不一致的指标、与全球可持续性目标的不一致以及有限的利益相关者可用性。大量研究证明，基于本体的解决方案可以解决ESG报告活动中出现的几个挑战。尽管语义技术为ESG报告提供了宝贵的好处，但它们在该领域的应用仍然受到限制。大多数基于本体的解决方案仍处于开发阶段，由于组织缺乏对这些工具如何帮助解决报告问题的理解，因此它们没有被广泛使用。本研究进行了系统文献综述（SLR），调查了从Scopus和Web of Science获得的19项同行评议研究，这些研究遵循了系统综述和荟萃分析（PRISMA 2020）的首选报告项目标准。SLR指出了关键的差距：(1)现有的本体驱动解决方案可以解决当前ESG报告中的关键问题；(2)定量评估方法很少与语义工具相结合，限制了可操作的见解；(3)与可持续发展目标（sdg）等不断发展的标准保持一致仍然是肤浅的。基于单反的见解，本研究通过将本体驱动方法与定量评估技术相结合，通过单反的发现开发了一个新的框架。该框架通过ESG本体系统实现各种报告标准的标准化，该系统映射基本概念以构建广泛的分类法。可持续发展目标通过既定的可持续发展目标本体相互兼容，使企业能够根据国际可持续发展目标衡量其活动。模糊多准则决策（MCDM）技术与ESG成熟度模型相结合，可创建定量指标来评估ESG绩效。该方法产生可测量的性能指标，这些指标由清晰的语义链接支持，允许有效的基准评估，结合更好的数据统一和改进的决策能力。该研究创建了实现ESG信息互操作性的操作框架，从而推进可持续性治理创新并指导ESG本体转换。

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引用次数: 0

Review and comparison of the current and desired status of the organization's infrastructure for implementing knowledge management strategies 审查和比较组织实施知识管理策略的基础设施的当前和期望状态

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2026-01-03 DOI: 10.1016/j.jik.2025.100923

Reza Rostamzadeh , Taher Najari , Dalia Streimikienė , Hero Isavi

Revised: Given the increasing emphasis on knowledge management (KM) in academic circles and the growing body of research literature in this field, the researcher conducted a meta-analysis using the Scopus database. The review focused on data extracted between 1996 and 2024 and included functional, graphical, and content analyses. An initial search of Scopus retrieved 2495 scientific documents. The researcher then filtered the results using the database tools for publication year, document type, Scopus classification, and language. After preprocessing, 175 scientific documents remained for inclusion in the meta-synthesis. The researcher performed data visualization and analysis in RStudio, VOSviewer, and MAXQDA software. The main contributions of this research are as follows: (1) identifying the most influential authors, countries, journals, universities, and articles within the field; (2) mapping the dimensions of the field and identifying keyword gaps through content analysis; and (3) conducting thematic analysis and pinpointing central components.

鉴于学术界对知识管理（knowledge management， KM）的重视程度越来越高，且该领域的研究文献越来越多，研究者使用Scopus数据库进行meta分析。该综述集中于1996年至2024年间提取的数据，包括功能、图形和内容分析。Scopus的初步检索检索到2495篇科学文献。然后，研究人员使用数据库工具根据出版年份、文档类型、Scopus分类和语言筛选结果。经预处理后，175份科学文献仍可纳入元综合。研究人员在RStudio、VOSviewer和MAXQDA软件中进行数据可视化和分析。本研究的主要贡献如下：(1)确定了该领域内最具影响力的作者、国家、期刊、大学和文章；(2)通过内容分析映射领域维度，识别关键词差距；(3)进行专题分析，找出核心成分。

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引用次数: 0

Technology or innovation alone is not enough: A SEM-fsQCA based study on intelligent automation driven supply chain resilience 单靠技术或创新是不够的：基于SEM-fsQCA的智能自动化驱动供应链弹性研究

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2026-01-07 DOI: 10.1016/j.jik.2025.100930

Mobashar Mubarik, Saule Maciukaite-Zviniene

In an era marked by increasing disruption and digital transformation, this study explores how Intelligent Automation (IA) contributes to Supply Chain Resilience (SCR), with particular attention to the mediating roles of Integrability and Visibility. Despite growing interest in digital supply chain capabilities, limited empirical evidence exists on how advanced technologies such as artificial intelligence, machine learning, and robotic process automation translate into resilience, especially in the context of emerging economies. Grounded in the Technology-Organization-Environment (TOE) framework, the study employs a mixed-method approach by integrating Partial Least Squares Structural Equation Modeling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA). Data were collected from 312 manufacturing firms in Lithuania, representing a digitally transforming economy with unique structural and institutional conditions. The PLS-SEM results confirm that IA significantly enhances SCR, primarily through the mediating effect of Integrability. While IA also improves supply chain visibility, the mediating role of Visibility in the IA-SCR relationship is not supported, suggesting that transparency alone is insufficient to enable resilience. Complementing these findings, the fsQCA results reveal that multiple configurations can lead to high resilience. The combination of IA and Integrability consistently emerged as a sufficient pathway, regardless of the presence or absence of Visibility. Moreover, firms without advanced IA capabilities but with strong integration and visibility were also able to achieve resilient outcomes, offering viable alternatives for resource-constrained environments. These insights underscore that resilience is not driven by technology adoption alone, but by the strategic configuration and alignment of digital capabilities. This study contributes to the literature by integrating variance-based and configurational perspectives, offering a more nuanced and context-sensitive understanding of digital transformation outcomes. It challenges the assumption that visibility is inherently sufficient for resilience and highlights the importance of integrability as a foundational enabler. The findings hold theoretical and practical value for building resilient, adaptive supply chains in emerging economy settings.

在一个以不断增加的颠覆性和数字化转型为标志的时代，本研究探讨了智能自动化（IA）如何促进供应链弹性（SCR），特别关注可集成性和可见性的中介作用。尽管人们对数字供应链能力的兴趣日益浓厚，但关于人工智能、机器学习和机器人过程自动化等先进技术如何转化为弹性的实证证据有限，尤其是在新兴经济体的背景下。本研究以技术-组织-环境（TOE）框架为基础，采用偏最小二乘结构方程建模（PLS-SEM）和模糊集定性比较分析（fsQCA）相结合的混合方法。数据来自立陶宛的312家制造企业，代表了具有独特结构和制度条件的数字化转型经济。PLS-SEM结果证实，IA显著提高了SCR，主要是通过可积性的中介作用。虽然IA也提高了供应链可见性，但不支持可见性在IA- scr关系中的中介作用，这表明仅靠透明度不足以实现弹性。与这些发现相辅相成的是，fsQCA的结果表明，多种配置可以导致高弹性。无论是否存在可见性，IA和可积性的结合始终是一个充分的途径。此外，没有先进的内部信息管理能力，但具有强大集成和可见性的公司也能够取得有弹性的结果，为资源受限的环境提供可行的替代方案。这些见解强调了弹性不仅仅是由技术采用驱动的，而是由数字能力的战略配置和对齐驱动的。本研究通过整合基于方差和配置的视角，对数字化转型结果提供了更细致和上下文敏感的理解，从而为文献做出了贡献。它挑战了可见性本身就足以满足弹性的假设，并强调了可集成性作为基础推动者的重要性。这些发现对于在新兴经济体环境中建立有弹性、适应性强的供应链具有理论和实践价值。

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引用次数: 0

Independent inventors in Italy: The role of sex and age in career development 意大利的独立发明家：性别和年龄在职业发展中的作用

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2025-12-24 DOI: 10.1016/j.jik.2025.100929

Federico Caviggioli

Independent inventors are considered important contributors to technological progress. However, empirical studies on individuals who retain the intellectual property rights in patented inventions are relatively scarce. This work analyzes a sample of more than 20k inventors who debuted between 1994 and 2017 and who filed at least one patent at the Italian Patent Office (UIBM) as independent: i.e., they were also the applicant/assignee. UIBM reports independent inventors’ national tax IDs, which allow identification of sex, date of birth, and place of birth. Inventors’ patent portfolios are reconstructed using their names and through filtering criteria to reduce the presence of false positives and negatives. The analyses confirm the presence of female underrepresentation (slowly declining), and sex-related differences in mean age and age distribution at the patenting debut. The dynamic process from independent to organizational inventor is then examined. Results of the survival analyses suggest that, ceteris paribus, female inventors are less likely to become organizational inventors than their male counterparts, while the role of age is negligible. However, within the subsample of inventors becoming organizational, female innovators transition more quickly, suggesting a potential selection effect that excludes many female patentees from pursuing their careers.

独立发明家被认为是技术进步的重要贡献者。然而，关于专利发明中知识产权保留个体的实证研究相对较少。这项工作分析了1994年至2017年期间首次亮相的2万多名发明家的样本，他们在意大利专利局（UIBM）以独立身份提交了至少一项专利：即他们也是申请人/受让人。UIBM报告独立发明者的国家税号，允许识别性别，出生日期和出生地点。使用发明人的姓名并通过过滤标准重建发明人的专利组合，以减少假阳性和假阴性的存在。分析证实了女性代表性不足（缓慢下降）的存在，以及首次申请专利时平均年龄和年龄分布的性别相关差异。然后考察了从独立发明者到组织发明者的动态过程。生存分析的结果表明，在其他条件相同的情况下，女性发明家成为组织发明家的可能性低于男性发明家，而年龄的作用可以忽略不计。然而，在成为组织的发明者的子样本中，女性创新者的转变更快，这表明潜在的选择效应将许多女性专利权人排除在职业发展之外。

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引用次数: 0

How does the digital divide between enterprises and customers affect enterprise performance? 企业和客户之间的数字鸿沟如何影响企业绩效？

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2025-12-15 DOI: 10.1016/j.jik.2025.100914

Chaoyue Meng , Xiaoxia Yu , Junmei Luo , Zhonghui Jiang

With the acceleration of digital transformation, the issue of the digital divide between enterprises has become increasingly prominent. However, prior studies have primarily examined how digital transformation levels affect an enterprise’s operations and innovation; limited attention has been paid to the effects of differences in digital transformation between different enterprises. Drawing on knowledge-based theory, this study employs supply chain data from China between 2007 and 2022 to examine the impact of the digital divide between enterprises and customers (DDEC)¹ on enterprise performance. Empirical analysis indicates that the DDEC significantly adversely affects enterprise performance; this remains consistent even after conducting various robustness tests. The mechanism test reveals that the DDEC in the supply chain mainly affects enterprise performance by negatively affecting the width and depth of enterprises’ knowledge search. While the information integration capability (IIC)² of enterprises can weaken the above relationship, then alleviate the effect of the DDEC on the enterprise performance. First, this study innovatively extends the research perspective to the supply chain scenario by assessing the digital divide between enterprises and their customers, thereby enriching the existing literature. Second, it adopts the knowledge-based theory to explore the “black box” of the DDEC affecting enterprise performance. Finally, it proposes operable suggestions for alleviating the negative impact of the digital divide at the enterprise level, providing important practical insights to enterprises.

随着数字化转型的加速，企业之间的数字鸿沟问题日益突出。然而，之前的研究主要考察了数字化转型水平如何影响企业的运营和创新；对于不同企业之间数字化转型的差异所带来的影响，人们的关注并不多。基于知识基础理论，本研究采用2007年至2022年中国供应链数据，考察了企业与客户之间的数字鸿沟1对企业绩效的影响。实证分析表明，DDEC对企业绩效有显著的负向影响；即使在进行了各种稳健性测试之后，这一点仍然是一致的。机制检验表明，供应链中的DDEC主要通过负向影响企业知识搜索的广度和深度来影响企业绩效。而企业的信息集成能力（IIC）2可以减弱上述关系，从而缓解DDEC对企业绩效的影响。首先，本研究创新性地将研究视角扩展到供应链场景，通过评估企业与客户之间的数字鸿沟，丰富了现有文献。其次，运用知识基础理论探索DDEC影响企业绩效的“黑箱”。最后，从企业层面提出了缓解数字鸿沟负面影响的可操作性建议，为企业提供了重要的实践见解。

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引用次数: 0

From novelty to necessity: Understanding CRM-driven service robot adoption in Iraqi restaurants through UTAUT3 从新奇到必要：通过UTAUT3了解伊拉克餐馆采用crm驱动的服务机器人

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2025-12-31 DOI: 10.1016/j.jik.2025.100916

Mustafa Obay Saeed , Amir A. Abdulmuhsin , Dima M. Dajani

This study investigates the determinants of restaurant managers’ behavioural intention (BI) to adopt customer relationship management (CRM)-driven service robots within the Iraqi hospitality sector. In this developing market, digital transformation remains at an early stage. Drawing on the extended Unified Theory of Acceptance and Use of Technology 3 (UTAUT3), the model incorporates performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), price value (PV), habit (HA), and personal innovativeness (PI). Data were collected from 283 managers employed in four-star and higher-rated Iraqi restaurants using a mixed-methods survey design and analysed using the partial least squares structural equation modelling (PLS-SEM) in SmartPLS v3.9. The results demonstrate that all hypothesised relationships were significant, with PI, HA, and PV emerging as the strongest predictors of adoption intention, followed by HM and PE. EE, FC, and SI exerted weaker yet meaningful effects. These findings underscore the importance of individual traits, economic considerations, and experiential motivations in shaping technology acceptance, in contrast to global studies that emphasise PE and SI. The research advances the UTAUT2 framework by integrating PI and offers theoretical insights into adoption in emerging markets. Practical implications are highlighted for vendors, managers, and policymakers in the restaurant industry who are seeking to foster service innovation under resource constraints.

本研究调查了伊拉克酒店业内餐厅经理采用客户关系管理（CRM）驱动的服务机器人的行为意图（BI）的决定因素。在这个发展中市场，数字化转型仍处于早期阶段。借鉴扩展的技术接受与使用统一理论3 (UTAUT3)，该模型纳入了绩效期望（PE）、努力期望（EE）、社会影响（SI）、促进条件（FC）、享乐动机（HM）、价格价值（PV）、习惯（HA）和个人创新（PI）。使用混合方法调查设计从四星级和更高评级的伊拉克餐馆雇用的283名经理中收集数据，并使用SmartPLS v3.9中的偏最小二乘结构方程模型（PLS-SEM）进行分析。结果表明，所有假设的关系都是显著的，PI、HA和PV是采用意愿的最强预测因子，其次是HM和PE。EE、FC和SI的影响较弱，但有意义。与强调PE和SI的全球研究相比，这些发现强调了个人特征、经济考虑和经验动机在塑造技术接受度方面的重要性。该研究通过整合PI推进了UTAUT2框架，并为新兴市场的采用提供了理论见解。对于餐饮业中寻求在资源限制下促进服务创新的供应商、管理人员和政策制定者来说，本文的实际意义尤为突出。

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引用次数: 0

Digital transformation and flexibility in public services: Knowledge, culture and digital infrastructures 公共服务的数字化转型和灵活性：知识、文化和数字基础设施

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2026-01-20 DOI: 10.1016/j.jik.2026.100947

Bora Ly , Romny Ly , Sokhom Ma

Governments in the Global South face ongoing challenges in digital modernization, ranging from weak technological infrastructure to entrenched bureaucratic cultures. This study draws on the Dynamic Capabilities View (DCV) and Contingency Theory to examine how digital transformation (DT) enhances flexibility in public service delivery when supported by organizational culture (OC) and technological infrastructure (TIF). Using the Cambodian public sector as a case study, survey data from 299 public officials were analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM) and Necessary Condition Analysis (NCA). The results show that DT improves flexibility in public services both directly and indirectly through OC and TIF, demonstrating that these factors are not merely contextual conditions but critical enablers of adaptive capacity. Importantly, NCA reveals that specific threshold levels of DT (≥2.59), OC (≥2.82–4.00), and TIF (≥3.37) constitute non-compensatory prerequisites for developing flexibility in public services. These findings extend the DCV by demonstrating that public-sector agility depends on the coordinated development of cultural and technological capabilities, and they refine Contingency Theory by highlighting that digital reform outcomes depend on the strategic alignment of institutional conditions. For policymakers, this study highlights the importance of simultaneous and coordinated investment in digital literacy, technological infrastructure, and cultural change to ensure that digital transformation initiatives lead to sustained improvements in public service responsiveness.

全球南方国家的政府在数字现代化方面面临着持续的挑战，从薄弱的技术基础设施到根深蒂固的官僚文化。本研究利用动态能力观（DCV）和权变理论来研究在组织文化（OC）和技术基础设施（TIF）的支持下，数字化转型（DT）如何增强公共服务提供的灵活性。以柬埔寨公共部门为例，使用偏最小二乘结构方程模型（PLS-SEM）和必要条件分析（NCA）对299名公职人员的调查数据进行了分析。研究结果表明，DT通过OC和TIF直接或间接地提高了公共服务的灵活性，表明这些因素不仅是环境条件，而且是适应能力的关键促成因素。重要的是，NCA揭示了DT（≥2.59）、OC（≥2.82-4.00）和TIF（≥3.37）的特定阈值水平构成了公共服务灵活性发展的非补偿性先决条件。这些研究结果通过证明公共部门的敏捷性取决于文化和技术能力的协调发展来扩展DCV，并通过强调数字改革结果取决于制度条件的战略一致性来完善权变理论。对于政策制定者而言，本研究强调了在数字素养、技术基础设施和文化变革方面同步协调投资的重要性，以确保数字化转型举措能够持续改善公共服务响应能力。

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引用次数: 0

Stakeholder engagement and strategic innovation in higher education through AI competency 通过人工智能能力，利益相关者参与和高等教育的战略创新

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2025-12-19 DOI: 10.1016/j.jik.2025.100920

Margarita Núñez-Canal , María de las Mercedes de Obesso Arias , Carlos Alberto Pérez-Rivero , Ignacio Álvarez-de-Mon

This research answers the following question: How do the competencies and attitudes of university faculty toward artificial intelligence (AI) impact student learning? Using human capital theory and stakeholder theory, this research highlights the importance of university faculty. The research uses an adaptation of a digital competence framework specifically for AI competence. A total of 105 responses from professors in business studies (e.g., entrepreneurship, strategy, finance, and marketing) were collected from university faculty. Four hypotheses were proposed, two of which were confirmed. Professors' ability to leverage AI for feedback, assessment, and pedagogy is linked to their commitment to enhancing student learning. Professors' attitudes toward the use of AI, data governance, and ethical considerations are also associated with their focus on improving student learning. The study finds that faculty AI competence can enhance institutional effectiveness. Educators are a crucial resource for higher education institutions. Equipping them with the necessary skills for the effective use of AI can enhance both institutional capacity and pedagogical innovation.

本研究回答了以下问题：大学教师对人工智能（AI）的能力和态度如何影响学生的学习？本研究运用人力资本理论和利益相关者理论，强调了大学教师的重要性。该研究采用了一种专门针对人工智能能力的数字能力框架。从大学教师中收集了来自商业研究（如创业、战略、金融和市场营销）教授的105份回复。提出了四个假设，其中两个得到了证实。教授利用人工智能进行反馈、评估和教学的能力与他们提高学生学习的承诺有关。教授对使用人工智能、数据治理和伦理考虑的态度也与他们对改善学生学习的关注有关。研究发现，教师的人工智能能力可以提高机构的有效性。教育工作者是高等教育机构的重要资源。为他们提供有效使用人工智能的必要技能，可以加强机构能力和教学创新。

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