Technovation最新文献

{"title":"Organizational agility unleashed: Tapping intellectual capital for digital transformation effectiveness","authors":"Cheng Gong ,&nbsp;Vincent Ribiere","doi":"10.1016/j.technovation.2025.103310","DOIUrl":"10.1016/j.technovation.2025.103310","url":null,"abstract":"<div><div>Digital transformation has become a critical and inevitable priority for organizations navigating increasingly dynamic and competitive environments. However, the mechanisms through which intellectual capital drives digital transformation effectiveness remain underexplored. This study examines the mediating role of organizational agility in this relationship, highlighting how its three dimensions—workforce, operational, and network agility—enable organizations to adapt and thrive in the digital era. A quantitative, correlational, and cross-sectional survey design was employed, underpinned by a post-positivist approach. Data were collected through a multi-stage sampling method from 265 respondents across 10 organizations in China and Thailand, representing various industries. The hypothesized mediation model was tested using PLS-SEM. The findings reveal that organizational agility fully mediates the effect of intellectual capital—comprising human, structural, and relational capital—on digital transformation effectiveness. Each dimension of organizational agility plays a distinct yet complementary role in enhancing digital transformation outcomes. This study uniquely contributes to the literature by providing a quantitative analysis of organizational agility's mediating role across its three dimensions. It advances the understanding of organizational agility as a multi-dimensional higher-level dynamic capability, bridging critical gaps in dynamic capabilities and digital transformation research. By elucidating these mechanisms, the study provides practical insights for organizations aiming to leverage intellectual capital and agility to drive transformative success, navigate uncertainty, and sustain a competitive advantage.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"147 ","pages":"Article 103310"},"PeriodicalIF":11.1,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144665484","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":"Measuring the success of business intelligence and analytics systems: A literature review","authors":"Noor Ul Ain ,&nbsp;William H. DeLone ,&nbsp;Giovanni Vaia","doi":"10.1016/j.technovation.2025.103277","DOIUrl":"10.1016/j.technovation.2025.103277","url":null,"abstract":"<div><div>Technology-based solutions such as business intelligence and analytics (BI&amp;A) systems have become indispensable for organizations due to their ability to support decision-making. Recent developments in big data availability and more powerful analytical tools have increased the potential value of BI&amp;A systems. However, academic and practitioner-oriented research suggests that the potential success of BI&amp;A systems has not yet been fully realized by most organizations. Existing studies have attempted to evaluate the effectiveness and success of BI&amp;A systems by proposing various success measures. However, these studies have generated inconsistent results, limiting the ability to compare and generalize the findings. Therefore, this study takes a step forward by proposing an updated, comprehensive, and consolidated set of success measures for this unique class of information systems. Using a systematic literature review approach, this study examined and synthesized BI&amp;A systems success measures across 173 past studies using the DeLone &amp; McLean IS success framework. Findings revealed success measures such as ease of use, information accuracy, and financial performance that are consistently applied to the measurement of BI&amp;A systems, and importantly, other recommended measures such as system features, presentation format, and decision-making performance that are uniquely important to BI&amp;A systems but infrequently applied. Finally, a comprehensive set of BI&amp;A success measures is proposed for future empirical research studies and practitioner use.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"146 ","pages":"Article 103277"},"PeriodicalIF":11.1,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663513","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":"Generative artificial intelligence augmenting SME financial management","authors":"Michael Metzger ,&nbsp;Seán O'Reilly ,&nbsp;Ciarán Mac an Bhaird","doi":"10.1016/j.technovation.2025.103313","DOIUrl":"10.1016/j.technovation.2025.103313","url":null,"abstract":"<div><div>This study investigates the potential for entrepreneurs to leverage advances in technological innovation, specifically generative Artificial Intelligence (AI), to build management capability to mitigate business and financial risks. Drawing on theories of Technology Affordances and Constraints and the Resource-Based View (RBV) of the firm, recognising that small and medium-sized enterprises (SMEs) are inherently resource-constrained. We examine how AI-generated financial diagnostics can empower SMEs by generating accessible, real-time analysis and insights, thus bolstering the management function and increasing chances of survival and growth. Using a dataset of 1,150 UK SMEs spanning eight years of financial statements, we test a large language model (LLM) prediction assessment and analyse the potential for SMEs to utilise the technology, notwithstanding enterprise-specific constraints. We conclude that AI may be a very effective tool for smaller enterprises to augment the financial management function, although its efficacy hinges on organisational readiness, competence in interpreting data, and the will to act on automated red-flag alerts. These findings offer practical guidance for SMEs seeking to enhance their financial management processes in today's digital era.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"147 ","pages":"Article 103313"},"PeriodicalIF":11.1,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654107","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":"My money endorses my campaign: The influence of entrepreneur's self-pledge on crowdfunding campaign success","authors":"Liang Zhao ,&nbsp;Zhe Sun ,&nbsp;Carolyn Ngowi ,&nbsp;Francis Donbesuur","doi":"10.1016/j.technovation.2025.103311","DOIUrl":"10.1016/j.technovation.2025.103311","url":null,"abstract":"<div><div>This study investigates the influence of entrepreneurs' self-pledge (ESP)—personal financial contributions to their own campaigns—on the success of reward-based crowdfunding. Drawing on Impression Management (IM) theory, we explore how ESP functions as a strategic tactic to signal commitment and credibility, shaping backers' perceptions of campaign quality. Using a dataset of 1287 campaigns from Zhongchou, China's leading reward-based crowdfunding platform, our analysis reveals that ESP significantly enhances campaign success, measured by funding achievement, total pledges, and fundraising ratios. This effect is partially mediated by perceived campaign quality, reflected in signals like videos and descriptions. These findings extend IM theory by applying it to crowdfunding's unique emotional and symbolic context, providing actionable insights for entrepreneurs and platform operators to improve fundraising outcomes.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"147 ","pages":"Article 103311"},"PeriodicalIF":11.1,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654106","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":"Community-powered AI: Enhancing regional development through dataset diversity and ethical governance","authors":"Zeyu Lin ,&nbsp;Hongtao Dou ,&nbsp;Shanlang Lin","doi":"10.1016/j.technovation.2025.103315","DOIUrl":"10.1016/j.technovation.2025.103315","url":null,"abstract":"<div><div>This study examines the transformative impact of AI on promoting equitable regional development in China, with a particular focus on dataset diversity, community-driven data collection, and ethical governance frameworks. Employing a quantitative cross-sectional methodology, primary survey data from AI developers, policymakers, and regional planners across 31 provinces were integrated with secondary economic and technological indicators. The results reveal that higher AI dataset diversity is strongly associated with reduced income inequality, enhanced GDP growth, and improved access to education and healthcare services. Community-driven data initiatives significantly enhance dataset representativeness, improving the accuracy, fairness, and policy relevance of AI models. Furthermore, adopting ethical AI governance frameworks positively influences public trust, AI adoption rates, perceived fairness, and stakeholder engagement. Structural Equation Modeling validates the interrelationships among dataset diversity, community involvement, ethical governance, and regional development outcomes. This study highlights actionable strategies for the responsible integration of AI, offering a holistic socio-technical model to drive equitable and sustainable regional development in China.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"147 ","pages":"Article 103315"},"PeriodicalIF":11.1,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144634577","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":"Leveraging digital crowdfunding platforms for SME sustainability in emerging markets: The roles of entrepreneurial competency, social capital, and supply chain trust","authors":"Yulong Liu (David) ,&nbsp;Muhammad Mustafa Kamal ,&nbsp;Justin Zuopeng Zhang ,&nbsp;Mushfiqur Rahman ,&nbsp;Erhan Aydin","doi":"10.1016/j.technovation.2025.103309","DOIUrl":"10.1016/j.technovation.2025.103309","url":null,"abstract":"<div><div>Digital crowdfunding platforms have become essential financing channels for small and medium-sized enterprises (SMEs), particularly in emerging markets where access to traditional funding is limited. This study examines how entrepreneurial competency, social capital, and supply chain trust shape the use of digital crowdfunding platforms and their impact on SMEs' sustainable performance. Drawing on resource-based theory and survey data from 170 SMEs across various industries in China, the study reveals that entrepreneurial competency facilitates platform adoption, which in turn fosters trust-based supply chain relationships. These trust relationships enhance supply chain collaboration and robustness, ultimately improving sustainable performance. By conceptualizing crowdfunding platforms as strategic resources, this study contributes to the digital entrepreneurship and SME financing literature. It also offers actionable insights for SME managers and policymakers on leveraging platform-based ecosystems to enhance resilience and sustainability in digitally transforming markets.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"147 ","pages":"Article 103309"},"PeriodicalIF":11.1,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631759","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":"Integrating expertise and authority: The role of CEO's IT imprinting and power in shaping corporate AI patenting","authors":"Yang Liu ,&nbsp;Fukang Zhang ,&nbsp;Jiuchang Wei ,&nbsp;Zuying Peng ,&nbsp;Peng Cheng","doi":"10.1016/j.technovation.2025.103308","DOIUrl":"10.1016/j.technovation.2025.103308","url":null,"abstract":"<div><div>Based on the imprinting theory, this study aims to investigate the influence of CEOs' information technology (IT) imprinting on corporate artificial intelligence (AI) patenting. By using a dataset comprising 2610 publicly listed companies in China from 2010 to 2020, our analysis reveals that firms led by CEOs with IT-related degrees are more inclined to foster enhanced AI patenting output. Furthermore, the study reveals that the positive relationship between a CEO's IT imprint and AI patenting is stronger when the CEO is younger or holds more power. Additionally, we explored the dual moderating effects of CEO age and power on this relationship. Our findings indicate that younger, more powerful CEOs with IT imprints are more likely to increase AI patent output. Further analysis underscores the significant contribution of CEOs with IT imprinting to exploitative AI patenting.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"147 ","pages":"Article 103308"},"PeriodicalIF":11.1,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631747","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":"From institution to practice: How intellectual property protection promotes collaborative innovation behavior, quantity, and quality, moderated by academically experienced executives","authors":"Zhuguang Xie ,&nbsp;Qian Zhou","doi":"10.1016/j.technovation.2025.103312","DOIUrl":"10.1016/j.technovation.2025.103312","url":null,"abstract":"<div><div>The paradoxical relationship between intellectual property protection and collaborative innovation requires in-depth investigation. This study adopts a “macro policy to micro implementation” approach, integrating both legislative and enforcement dimensions to measure the intellectual property protection intensity in China. Using a dataset of 17,376 samples from listed companies across all industries from 2008 to 2018, we develop a moderation effect model to examine the role of academically experienced executives in moderating the relationship between intellectual property protection and collaborative innovation. Specifically, we analyze collaborative innovation performance from three dimensions: behavior, quantity, and quality. The findings reveal that: (1) Intellectual property protection significantly enhances firms' collaborative innovation behavior, quantity, and quality. Moreover, stronger intellectual property protection has a greater positive impact on the quantity and quality of collaborative innovation; (2) Academically experienced executives strengthen the positive relationship, demonstrating a positive moderating effect. This result applies to all three dimensions of collaborative innovation: behavior, quantity, and quality. Under the same intellectual property protection, firms with more academically experienced executives exhibit better collaborative innovation performance, particularly in terms of high-quality collaborative innovation quantity. Based on these findings, it is recommended that China strengthen intellectual property protection and improve enforcement efficiency. Additionally, optimize intellectual property protection clauses specifically targeting collaborative innovations, reasonably distribute the benefits of collaborative innovations, and optimize corporate innovation management strategies. Meanwhile, encouraging academically experienced executives to participate in corporate decision-making can further increase the behavior, quantity, and quality of collaborative innovations even under the same intellectual property protection environment.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"147 ","pages":"Article 103312"},"PeriodicalIF":11.1,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631748","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 platforms and smart city synergies: Unlocking cross-sector innovation and governance in urban transformation","authors":"Chao Yang ,&nbsp;Haoxiang Luo ,&nbsp;Siyi Yang ,&nbsp;Longquan Li ,&nbsp;Qi Liu","doi":"10.1016/j.technovation.2025.103307","DOIUrl":"10.1016/j.technovation.2025.103307","url":null,"abstract":"<div><div>This study examines the transformative impact of digital platforms on fostering cross-sector collaboration and innovation in Chinese smart cities. While existing research often emphasizes the technical capabilities of these platforms, it has largely overlooked their role in addressing governance structures, data-sharing protocols, and user-centric designs essential for effective collaboration. This research addresses this gap by employing a mixed-methods approach comprising surveys (N = 500), interviews (N = 30), and case studies across various Chinese cities to assess the impact of digital platforms on knowledge transfer, resource sharing, and innovation outcomes in urban development projects. Key findings demonstrate that digital platforms significantly enhance cross-sector knowledge transfer (r = 0.72, p &lt; 0.01) and result in superior innovation outcomes (η² = 0.18, p &lt; 0.001) compared to traditional collaboration methods. However, the study also identifies barriers that hinder effective platform implementation, including technical incompatibilities, regulatory hurdles, and cultural differences across sectors. By integrating existing urban innovation theories and incorporating the unique role of digital platforms in the Chinese context, this research offers empirical evidence and actionable insights for policymakers, urban planners, and platform developers. It highlights how digital platforms can optimize smart city initiatives through enhanced collaboration, paving the way for more inclusive, responsive, and innovative urban environments in China and beyond.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"147 ","pages":"Article 103307"},"PeriodicalIF":11.1,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588527","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":"The role of technology-enabled business model innovation in achieving carbon neutrality","authors":"Fu Jia ,&nbsp;Nazrul Islam ,&nbsp;Lujie Chen","doi":"10.1016/j.technovation.2025.103305","DOIUrl":"10.1016/j.technovation.2025.103305","url":null,"abstract":"<div><div>Technology-enabled business model innovation (BMI) has emerged as a strategic lever for achieving carbon neutrality. Rather than simply layering digital technologies onto existing models, it entails a fundamental reconfiguration of how firms design decarbonisation pathways, construct carbon-intelligent value logic, and respond to increasingly complex and dynamic institutional pressures. This editorial synthesises current advancements in the field from a multidimensional perspective, highlighting how technology-enabled BMI reshapes the temporal logic, ecosystem coordination, and adaptive capacity of organisations operating under carbon constraints. Drawing on the seven articles featured in this special issue, we identify critical theoretical and methodological gaps—particularly the lack of integrative frameworks that can address systemic complexity, embedded accountability structures, and policy–technology co-evolution. We conclude by proposing a research agenda that calls for deeper engagement with dynamic, multi-level mechanisms and encourages future scholars to explore the evolving role of technology-enabled BMI in driving systemic, scalable, and accountable low-carbon transformations.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"147 ","pages":"Article 103305"},"PeriodicalIF":11.1,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580972","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}