{"title":"Technology or innovation alone is not enough: A SEM-fsQCA based study on intelligent automation driven supply chain resilience","authors":"Mobashar Mubarik, Saule Maciukaite-Zviniene","doi":"10.1016/j.jik.2025.100930","DOIUrl":"10.1016/j.jik.2025.100930","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100930"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Independent inventors in Italy: The role of sex and age in career development","authors":"Federico Caviggioli","doi":"10.1016/j.jik.2025.100929","DOIUrl":"10.1016/j.jik.2025.100929","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100929"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145823828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital transformation and flexibility in public services: Knowledge, culture and digital infrastructures","authors":"Bora Ly , Romny Ly , Sokhom Ma","doi":"10.1016/j.jik.2026.100947","DOIUrl":"10.1016/j.jik.2026.100947","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100947"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Margarita Núñez-Canal , María de las Mercedes de Obesso Arias , Carlos Alberto Pérez-Rivero , Ignacio Álvarez-de-Mon
{"title":"Stakeholder engagement and strategic innovation in higher education through AI competency","authors":"Margarita Núñez-Canal , María de las Mercedes de Obesso Arias , Carlos Alberto Pérez-Rivero , Ignacio Álvarez-de-Mon","doi":"10.1016/j.jik.2025.100920","DOIUrl":"10.1016/j.jik.2025.100920","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100920"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145785784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How does the digital divide between enterprises and customers affect enterprise performance?","authors":"Chaoyue Meng , Xiaoxia Yu , Junmei Luo , Zhonghui Jiang","doi":"10.1016/j.jik.2025.100914","DOIUrl":"10.1016/j.jik.2025.100914","url":null,"abstract":"<div><div>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)<span><span><sup>1</sup></span></span> 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)<span><span><sup>2</sup></span></span> 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.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100914"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mustafa Obay Saeed , Amir A. Abdulmuhsin , Dima M. Dajani
{"title":"From novelty to necessity: Understanding CRM-driven service robot adoption in Iraqi restaurants through UTAUT3","authors":"Mustafa Obay Saeed , Amir A. Abdulmuhsin , Dima M. Dajani","doi":"10.1016/j.jik.2025.100916","DOIUrl":"10.1016/j.jik.2025.100916","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100916"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AI capacity in the public sector: Pathways from the environmental context to an organizational impact","authors":"Truc Thanh Phan , Phuong Van Nguyen , Vincenzo Corvello , Thao Thi Phuong Pham","doi":"10.1016/j.jik.2025.100931","DOIUrl":"10.1016/j.jik.2025.100931","url":null,"abstract":"<div><div>Artificial intelligence (AI) is reshaping the operation of public organizations, yet many still struggle to harness its full potential amid institutional complexity and digital transitioning. Characteristically different from the private sector, the public sector requires the development and testing of specific models. However, most studies on the impact of AI have focused primarily on the private sector, leaving public organizations largely underinvestigated. This study examines how public sector agencies develop AI capacity and how this contributes to performance through key internal mechanisms, including organizational creativity and AI management. Using the resource-based view as a guiding framework, a structural model was developed to capture the effects of government mandates, citizen expectations, regulatory clarity, and public incentives on AI capacity and its organizational outcomes. Survey data from 225 senior managers employed in Vietnamese public organizations were analyzed using partial least squares–structural equation modeling. The findings illustrate that environmental context plays a crucial role in enhancing AI capacity, which, in turn, impacts both creativity and performance. However, AI management is not yet consistently translated into AI-driven decision-making, suggesting that public organizations are still in the early stages of embedding AI into their strategic processes. The study demonstrates that the performance benefits of AI are contingent on a comprehensive approach. Further, these gains are a function of not only technology but also key complementary factors, such as cultural readiness, managerial alignment, and institutional support. The study provides practical recommendations for leaders in emerging economies, outlining ways to strengthen governance and address complex challenges via more effective integration of AI into organizational operations.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100931"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Promoting green innovation: The pivotal role of government environmental information disclosure","authors":"Lanxiang Xu , Qingqing Niu","doi":"10.1016/j.jik.2026.100937","DOIUrl":"10.1016/j.jik.2026.100937","url":null,"abstract":"<div><div>Government environmental information disclosure is pivotal for fostering a participatory environmental governance system; however, its effectiveness in promoting firm-level green innovation remains insufficiently understood. This study examines such disclosure as a soft regulatory institutional mechanism influencing corporate green innovation. Drawing on a novel city-level disclosure index derived from government transparency reports, we assess its impact on both strategic and substantive green innovation among Chinese firms. The effects are particularly pronounced for firms with weak political ties or executive teams lacking environmental expertise, highlighting that responsiveness to policy signals is contingent upon firms’ environmental sensitivity. Mechanism analysis reveals that environmental information disclosure enhances green innovation primarily by activating public environmental concern, thereby increasing external institutional pressure. Moreover, the effectiveness of disclosure exhibits notable heterogeneity. At the regional level, stronger impacts are observed in economically advanced regions with stringent environmental regulation. At the industry level, the effect is amplified in pollution-intensive sectors and industries with high market concentration. At the firm level, state-owned enterprises and firms with a strong corporate social responsibility (CSR) orientation demonstrate greater receptivity to disclosure initiatives. These findings underscore the governance value of transparency and offer actionable insights for policymakers seeking to develop adaptive, information-based environmental governance frameworks that utilize soft regulatory tools to facilitate sustainable corporate transformation.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100937"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lauren Lindow , Catherine Campbell , Coleman Longwater , Ying Zhang , Ana Martin-Ryals , Ziynet Boz
{"title":"Diffusion of innovation in controlled environment agriculture: A mixed-methods study of digital decision support tool adoption","authors":"Lauren Lindow , Catherine Campbell , Coleman Longwater , Ying Zhang , Ana Martin-Ryals , Ziynet Boz","doi":"10.1016/j.jik.2025.100882","DOIUrl":"10.1016/j.jik.2025.100882","url":null,"abstract":"<div><div>Controlled environment agriculture (CEA) enables farmers to manage all aspects of crop growing environments. However, the complexity of operations necessitates decision-support tools (DSTs) that integrate and analyze large datasets for optimized management. Despite their benefits, the adoption of DSTs is influenced by factors beyond technical effectiveness, such as cost, usability, and perceived value. This study aimed to evaluate the experiences and perceptions of CEA operators regarding DSTs, identify barriers to adoption, and determine the characteristics necessary for widespread acceptance, using the Diffusion of Innovation Theory as a framework. A mixed-methods approach was employed, consisting of a survey of 44 CEA operators across the United States by in-depth interviews with 14 respondents. The survey and interviews explored DST experiences, concerns, and desired features, with data analyzed using thematic analysis. Farmers desired general farm management tools that could be easily customized to their specific needs and operations. Key preferences included seamless data integration across tools, automation, and Artificial Intelligence (AI) integration for predictive modeling and decision suggestions, while maintaining human oversight. Cost and trialability were major barriers, with farmers requiring financial benefits that outweigh costs. Complexity of use and incompatibility with existing workflows were significant deterrents to adoption. The findings underscore the importance of user-centered design, financial feasibility, and demonstrable tool performance. This study highlights critical factors influencing DST adoption in CEA and provides actionable insights for developers to design tools that are cost-effective, user-friendly, and customizable. Addressing these barriers can enhance adoption rates and optimize farm operations, ultimately advancing the CEA industry.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100882"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145785790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shuang Wang , Xueqing Zhang , Wei Xu , Jinlin Xu , Yudong Yao
{"title":"No more bets: Enhancing risk-driven response through artificial intelligence","authors":"Shuang Wang , Xueqing Zhang , Wei Xu , Jinlin Xu , Yudong Yao","doi":"10.1016/j.jik.2026.100941","DOIUrl":"10.1016/j.jik.2026.100941","url":null,"abstract":"<div><div>As firms increasingly integrate AI into daily operations, managerial decision-making is significantly enhanced. Within the Stimuli-Organism-Response (SOR) framework, this study leverages AI to develop a decision-making paradigm that improves managerial responsiveness and decision precision in the context of fluctuating risks. Utilizing a tripartite methodology—supply chain modeling, panel regression, and fuzzy-set qualitative comparative analysis (fsQCA)—we identified that AI reduces managers’ risk perception, providing a soothing effect on their decision-making. This effect stabilizes at approximately 14.72% after an initial decrease. These findings offer practical insights for managers to recalibrate their decision-making strategies, fostering management innovation and improving responses to evolving risk landscapes.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100941"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}