Pub Date : 2026-01-19DOI: 10.1016/j.techfore.2026.124538
Pankaj C. Patel
Drawing on transaction cost economics and organizational information processing theory, we challenge the espoused benefits of AI in servitization by demonstrating that stock market reactions to service technology patents with high AI scores are negative. In a sample of 1306 service technology patents and 758,143 non-service technology patents from 3899 manufacturing firms (1980–2020), we find that idiosyncratic volatility mitigates this negative reaction, while tangibility shows no such effect. Decade-wise analysis reveals effects are significant only in the 2010s and 2020s, suggesting evolving market perceptions of AI-driven servitization. Results hold across matched-pair sampling, non-linear effects testing, fixed-effects individual slopes, and alternative moderator analyses. This study cautions against assuming short-term market value of AI service innovations in manufacturing.
{"title":"Navigating the gambit: Unfavorable market responses to AI-based service patents in manufacturing firms","authors":"Pankaj C. Patel","doi":"10.1016/j.techfore.2026.124538","DOIUrl":"10.1016/j.techfore.2026.124538","url":null,"abstract":"<div><div>Drawing on transaction cost economics and organizational information processing theory, we challenge the espoused benefits of AI in servitization by demonstrating that stock market reactions to service technology patents with high AI scores are negative. In a sample of 1306 service technology patents and 758,143 non-service technology patents from 3899 manufacturing firms (1980–2020), we find that idiosyncratic volatility mitigates this negative reaction, while tangibility shows no such effect. Decade-wise analysis reveals effects are significant only in the 2010s and 2020s, suggesting evolving market perceptions of AI-driven servitization. Results hold across matched-pair sampling, non-linear effects testing, fixed-effects individual slopes, and alternative moderator analyses. This study cautions against assuming short-term market value of AI service innovations in manufacturing.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"225 ","pages":"Article 124538"},"PeriodicalIF":13.3,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038275","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}
Pub Date : 2026-01-19DOI: 10.1016/j.techfore.2026.124547
Ningning Zhang , Ke Wen , Jingjing Guo , Dingyi You , Le Tang
Previous studies have emphasized geographical proximity's role in academia-industry collaboration, yet this fails to explain the boom of cross-regional cooperation in China. Our study explores the factors driving these collaborations by introducing the concept of regional government support alongside geographical and economic proximity. Using exponential random graph models, we analyze cross-regional collaborations between research institutes affiliated with the Chinese Academy of Sciences and firms. Our findings indicate that geographical proximity is positively associated and economic proximity is negatively associated with cross-regional collaboration. Importantly, we find that government innovation support in the firm partner's region both directly enhances collaboration probability and moderates the effects of proximity factors. When the firm partner is located in regions with strong government innovation support, the positive impact of geographical proximity is weakened, whereas the negative effect of economic proximity is strengthened. These findings suggest that academic institutions are increasingly willing to overcome spatial and economic barriers when partnering with firms in regions offering strong institutional support for innovation. Our study provides new insights into the spatial patterns of academia-industry collaboration in China, revealing a trend whereby academic institutions increasingly concentrate their collaborative efforts in regions with strong government support for innovation.
{"title":"Proximity and cross-regional academia-industry collaboration: The moderating role of regional government support","authors":"Ningning Zhang , Ke Wen , Jingjing Guo , Dingyi You , Le Tang","doi":"10.1016/j.techfore.2026.124547","DOIUrl":"10.1016/j.techfore.2026.124547","url":null,"abstract":"<div><div>Previous studies have emphasized geographical proximity's role in academia-industry collaboration, yet this fails to explain the boom of cross-regional cooperation in China. Our study explores the factors driving these collaborations by introducing the concept of regional government support alongside geographical and economic proximity. Using exponential random graph models, we analyze cross-regional collaborations between research institutes affiliated with the Chinese Academy of Sciences and firms. Our findings indicate that geographical proximity is positively associated and economic proximity is negatively associated with cross-regional collaboration. Importantly, we find that government innovation support in the firm partner's region both directly enhances collaboration probability and moderates the effects of proximity factors. When the firm partner is located in regions with strong government innovation support, the positive impact of geographical proximity is weakened, whereas the negative effect of economic proximity is strengthened. These findings suggest that academic institutions are increasingly willing to overcome spatial and economic barriers when partnering with firms in regions offering strong institutional support for innovation. Our study provides new insights into the spatial patterns of academia-industry collaboration in China, revealing a trend whereby academic institutions increasingly concentrate their collaborative efforts in regions with strong government support for innovation.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"225 ","pages":"Article 124547"},"PeriodicalIF":13.3,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038277","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}
Pub Date : 2026-01-17DOI: 10.1016/j.techfore.2026.124539
Kenneth I. Carlaw , Gregory Bridgett
Dynamic competition in technological innovation drives long run economic growth. We find a rationale for public support of private technological innovation in features of this process which are central to our appreciative structural-evolutionary growth theory presented here. Agents face uncertainty and allocate resources to innovative endeavors based on subjective perceptions of potential opportunities that are generated by and limited to the evolving structural context in which they operate. Efforts cannot be evaluated on optimality criteria of equilibrium models because much of the value that may come to be associated with originating innovations is yet to be determined over the uncertain futures of their development trajectories. The system's history determines its present and future states. Influencing agent behaviours with respect to technological innovation alters the evolutionary path of economic growth. Policy that is historically conditioned, selectively focused and embedded in the structure of technology and the economy induces beneficial technological innovation trajectories. This role is absent from the equilibrium approach to economic growth theory in which fully-informed agents allocate resources based on calculations of optimal returns, producing growth on a stationary balanced growth path. In this approach, policy's sole purpose is the correction of divergence between social and private returns.
{"title":"A structural-evolutionary rationale for public support of private technological innovation","authors":"Kenneth I. Carlaw , Gregory Bridgett","doi":"10.1016/j.techfore.2026.124539","DOIUrl":"10.1016/j.techfore.2026.124539","url":null,"abstract":"<div><div>Dynamic competition in technological innovation drives long run economic growth. We find a rationale for public support of private technological innovation in features of this process which are central to our appreciative structural-evolutionary growth theory presented here. Agents face uncertainty and allocate resources to innovative endeavors based on subjective perceptions of potential opportunities that are generated by and limited to the evolving structural context in which they operate. Efforts cannot be evaluated on optimality criteria of equilibrium models because much of the value that may come to be associated with originating innovations is yet to be determined over the uncertain futures of their development trajectories. The system's history determines its present and future states. Influencing agent behaviours with respect to technological innovation alters the evolutionary path of economic growth. Policy that is historically conditioned, selectively focused and embedded in the structure of technology and the economy induces beneficial technological innovation trajectories. This role is absent from the equilibrium approach to economic growth theory in which fully-informed agents allocate resources based on calculations of optimal returns, producing growth on a stationary balanced growth path. In this approach, policy's sole purpose is the correction of divergence between social and private returns.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"225 ","pages":"Article 124539"},"PeriodicalIF":13.3,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980363","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}
Today, companies increasingly utilize customer-driven approaches like Quality Function Deployment (QFD) in new product development (NPD) to differentiate their products from competitors and satisfy customer needs and demands. Despite QFD's many capabilities in product design based on customer opinions, its practical implementation faces numerous challenges, such as heavy reliance on personal opinions for identifying and assessing the importance of customer requirements (CRs) and engineering characteristics (ECs), as well as the difficulty of understanding interactions between them. This problem worsens when there are connections and correlations between the identified requirements and characteristics. Given the benefits of extracting CRs from product reviews over traditional methods such as questionnaires and interviews, this study proposes a data-driven framework that combines data mining techniques and multi-attribute decision-making to tackle these issues. In this framework, online customer reviews (OCRs) are considered at all stages of NPD to maximize customer involvement, and association rule mining (ARM) is employed to discover causal relationships and weights among CRs, ECs, and their interactions. Additionally, by applying the Fuzzy Cognitive Map (FCM) method and integrating it with QFD, the relationships between CRs and ECs are analyzed, and CRs are prioritized accordingly. To demonstrate the practical application of this data-driven development framework, it is applied to the development of a mobile phone product using OCRs from Amazon.
{"title":"A data-driven framework for new product development: Integrating QFD and FCM based on online customer reviews","authors":"Romina Raafat , Jalil Heidary Dahooie , Edwin Garces , Tugrul Daim","doi":"10.1016/j.techfore.2025.124523","DOIUrl":"10.1016/j.techfore.2025.124523","url":null,"abstract":"<div><div>Today, companies increasingly utilize customer-driven approaches like Quality Function Deployment (QFD) in new product development (NPD) to differentiate their products from competitors and satisfy customer needs and demands. Despite QFD's many capabilities in product design based on customer opinions, its practical implementation faces numerous challenges, such as heavy reliance on personal opinions for identifying and assessing the importance of customer requirements (CRs) and engineering characteristics (ECs), as well as the difficulty of understanding interactions between them. This problem worsens when there are connections and correlations between the identified requirements and characteristics. Given the benefits of extracting CRs from product reviews over traditional methods such as questionnaires and interviews, this study proposes a data-driven framework that combines data mining techniques and multi-attribute decision-making to tackle these issues. In this framework, online customer reviews (OCRs) are considered at all stages of NPD to maximize customer involvement, and association rule mining (ARM) is employed to discover causal relationships and weights among CRs, ECs, and their interactions. Additionally, by applying the Fuzzy Cognitive Map (FCM) method and integrating it with QFD, the relationships between CRs and ECs are analyzed, and CRs are prioritized accordingly. To demonstrate the practical application of this data-driven development framework, it is applied to the development of a mobile phone product using OCRs from Amazon.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"225 ","pages":"Article 124523"},"PeriodicalIF":13.3,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980362","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}
Pub Date : 2026-01-16DOI: 10.1016/j.techfore.2026.124537
Bing Li , Kun Ding , Vincent Larivière
This study investigates the relationship between interdisciplinary research and technological change, using paper-patent citations. Technological change is defined as the extent to which a technology consolidates or disrupts existing technologies, patents can be categorized into three types: destabilizing, consolidating, and moderating. Drawing on all journal articles published in 2002 and indexed in the Web of Science database and all patents from the USPTO, our study reveals that research papers have a relatively minor impact on destabilizing patents compared to moderating and consolidating patents. Particularly noteworthy is the significant contribution of papers in the field of Biomedical Research to technological advancements. Analyzing distinct dimensions of interdisciplinary research—variety, balance, disparity, and the Rao-Stirling index—we find that destabilizing patent citations decrease with both variety and the Rao-Stirling index increase. The correlation with balance exhibits a U-shaped relationship, but we observe no significant relationship with disparity. Moreover, consolidating patent citations demonstrate an increase with disparity and the Rao-Stirling index, while showing a decrease in relation to balance, but no negligible association is found with variety. Moderate patent citations increase with both variety and balance, and decrease with both disparity and the Rao-Stirling index.
本研究以论文专利引文为工具，探讨跨学科研究与技术变革之间的关系。技术变革被定义为一项技术巩固或破坏现有技术的程度，专利可以分为三种类型：不稳定、巩固和缓和。通过对Web of Science数据库收录的2002年发表的所有期刊文章和美国专利商标局的所有专利进行分析，我们的研究表明，与缓和和巩固专利相比，研究论文对不稳定专利的影响相对较小。特别值得注意的是生物医学研究领域的论文对技术进步的重大贡献。通过对跨学科研究的多样性、平衡性、差异性和Rao-Stirling指数进行分析，我们发现不稳定专利引用随多样性和Rao-Stirling指数的增加而减少。与平衡呈u型相关，与差异无显著相关。合并专利被引率随差异和Rao-Stirling指数的增加而增加，随平衡而降低，但与多样性的关系不容忽视。中等专利被引量随多样性和平衡性而增加，随差异和Rao-Stirling指数而减少。
{"title":"Interdisciplinary research and technological change","authors":"Bing Li , Kun Ding , Vincent Larivière","doi":"10.1016/j.techfore.2026.124537","DOIUrl":"10.1016/j.techfore.2026.124537","url":null,"abstract":"<div><div>This study investigates the relationship between interdisciplinary research and technological change, using paper-patent citations. Technological change is defined as the extent to which a technology consolidates or disrupts existing technologies, patents can be categorized into three types: destabilizing, consolidating, and moderating. Drawing on all journal articles published in 2002 and indexed in the Web of Science database and all patents from the USPTO, our study reveals that research papers have a relatively minor impact on destabilizing patents compared to moderating and consolidating patents. Particularly noteworthy is the significant contribution of papers in the field of Biomedical Research to technological advancements. Analyzing distinct dimensions of interdisciplinary research—variety, balance, disparity, and the Rao-Stirling index—we find that destabilizing patent citations decrease with both variety and the Rao-Stirling index increase. The correlation with balance exhibits a U-shaped relationship, but we observe no significant relationship with disparity. Moreover, consolidating patent citations demonstrate an increase with disparity and the Rao-Stirling index, while showing a decrease in relation to balance, but no negligible association is found with variety. Moderate patent citations increase with both variety and balance, and decrease with both disparity and the Rao-Stirling index.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"225 ","pages":"Article 124537"},"PeriodicalIF":13.3,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980364","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}
Pub Date : 2026-01-14DOI: 10.1016/j.techfore.2026.124535
Isaac Ahakwa , Yi Xu , Evelyn Agba Tackie
Environmental degradation remains a critical challenge for resource-rich economies, where different forms of natural resources may exert heterogeneous environmental effects. This study evaluates how disaggregated natural resources, namely forest, oil, minerals, and natural gas, affect environmental degradation in Ghana, while assessing the moderating role of environmental taxes. Using a dynamic ARDL simulation approach, the analysis reveals that forest resources reduce environmental degradation, whereas oil, mineral, and natural gas resources intensify environmental degradation. Environmental taxes are found to mitigate the adverse environmental impacts associated with oil and mineral resource extraction, but are ineffective in offsetting degradation linked to natural gas and forest resources. These findings demonstrate that the environmental effects of resource exploitation and taxation are highly resource-specific, highlighting the heterogeneous dynamics between natural resources and environmental degradation.
{"title":"The role of environmental taxes in promoting sustainable utilization of disaggregated natural resources toward global greening: A novel dynamic ARDL simulation approach","authors":"Isaac Ahakwa , Yi Xu , Evelyn Agba Tackie","doi":"10.1016/j.techfore.2026.124535","DOIUrl":"10.1016/j.techfore.2026.124535","url":null,"abstract":"<div><div>Environmental degradation remains a critical challenge for resource-rich economies, where different forms of natural resources may exert heterogeneous environmental effects. This study evaluates how disaggregated natural resources, namely forest, oil, minerals, and natural gas, affect environmental degradation in Ghana, while assessing the moderating role of environmental taxes. Using a dynamic ARDL simulation approach, the analysis reveals that forest resources reduce environmental degradation, whereas oil, mineral, and natural gas resources intensify environmental degradation. Environmental taxes are found to mitigate the adverse environmental impacts associated with oil and mineral resource extraction, but are ineffective in offsetting degradation linked to natural gas and forest resources. These findings demonstrate that the environmental effects of resource exploitation and taxation are highly resource-specific, highlighting the heterogeneous dynamics between natural resources and environmental degradation.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"225 ","pages":"Article 124535"},"PeriodicalIF":13.3,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980361","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}
Pub Date : 2026-01-12DOI: 10.1016/j.techfore.2025.124512
René Abreu-Ledón , Darkys E. Luján-García , Pedro Garrido-Vega , Jose A.D. Machuca , Yodaira Borroto-Pentón
Technological advances—and, more recently, the COVID-19 pandemic—have accelerated the growth of online purchasing, prompting a surge in empirical research on online consumer behavior. A substantial share of these studies rely on structural equation modeling (SEM) for data analysis. However, inadequate or improper application of SEM can produce unreliable results and misleading conclusions, undermining scientific progress and managerial decision-making. To address this critical concern, the present study provides, to the best of our knowledge, the first comprehensive assessment of SEM applications—encompassing both covariance-based structural equation modeling (CB-SEM) and partial least squares structural equation modeling (PLS-SEM)— in online purchase intention (OPI) research. Our review covers 120 empirical articles published between 2000 and 2023 and reveals that methodological requirements of SEM are often overlooked, which risks invalidating both theoretical contributions and managerial implications. In response, we offer practical recommendations and a results-based guide to assist researchers and reviewers in enhancing the rigor, reliability, and decision-oriented value of SEM studies in this field.
{"title":"Evaluating the use of structural equation modeling in online purchase intention research: A comprehensive review (2000−2023)","authors":"René Abreu-Ledón , Darkys E. Luján-García , Pedro Garrido-Vega , Jose A.D. Machuca , Yodaira Borroto-Pentón","doi":"10.1016/j.techfore.2025.124512","DOIUrl":"10.1016/j.techfore.2025.124512","url":null,"abstract":"<div><div>Technological advances—and, more recently, the COVID-19 pandemic—have accelerated the growth of online purchasing, prompting a surge in empirical research on online consumer behavior. A substantial share of these studies rely on structural equation modeling (SEM) for data analysis. However, inadequate or improper application of SEM can produce unreliable results and misleading conclusions, undermining scientific progress and managerial decision-making. To address this critical concern, the present study provides, to the best of our knowledge, the first comprehensive assessment of SEM applications—encompassing both covariance-based structural equation modeling (CB-SEM) and partial least squares structural equation modeling (PLS-SEM)— in online purchase intention (OPI) research. Our review covers 120 empirical articles published between 2000 and 2023 and reveals that methodological requirements of SEM are often overlooked, which risks invalidating both theoretical contributions and managerial implications. In response, we offer practical recommendations and a results-based guide to assist researchers and reviewers in enhancing the rigor, reliability, and decision-oriented value of SEM studies in this field.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"225 ","pages":"Article 124512"},"PeriodicalIF":13.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980365","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}
Pub Date : 2026-01-10DOI: 10.1016/j.techfore.2025.124519
Dingli Xi , Minhao Zhang , Gianluca Veronesi
Digital transformation is broadly recognized as a promising approach to solving complex and longstanding organizational challenges. However, its environmental implications, particularly within the public sector, remain underexplored. Drawing on the attention-based view, this study addresses this gap by investigating how managerial attention to digital transformation impacts organizational environmental performance. We utilize a fixed-effects model approach to conduct the analysis based on a sample of 118 NHS Foundation Trusts in England between 2016 and 2021. The results show that managerial attention to digital transformation is positively related to energy consumption intensity. Building on core assumptions from the behavioral theory of the firm, we further investigate the moderating role of R&D income intensity discrepancy on the link between digital transformation attention and energy consumption intensity. Our findings indicate that positive R&D income intensity discrepancy weakens the positive relationship between digital transformation attention and energy consumption, whereas negative discrepancy does not have any impact. This study contributes to the extant literature by advancing the understanding of the intersection between digital transformation and sustainability, while extending the theoretical applications of the attention-based view and behavioral theory of the firm within the public sector. The findings also offer insights for policymakers and practitioners seeking to mitigate unintended environmental consequences and promote more sustainable initiatives to digital transformation.
{"title":"The digital-environmental tension: Managerial attention to digital transformation and energy consumption in healthcare organizations","authors":"Dingli Xi , Minhao Zhang , Gianluca Veronesi","doi":"10.1016/j.techfore.2025.124519","DOIUrl":"10.1016/j.techfore.2025.124519","url":null,"abstract":"<div><div>Digital transformation is broadly recognized as a promising approach to solving complex and longstanding organizational challenges. However, its environmental implications, particularly within the public sector, remain underexplored. Drawing on the attention-based view, this study addresses this gap by investigating how managerial attention to digital transformation impacts organizational environmental performance. We utilize a fixed-effects model approach to conduct the analysis based on a sample of 118 NHS Foundation Trusts in England between 2016 and 2021. The results show that managerial attention to digital transformation is positively related to energy consumption intensity. Building on core assumptions from the behavioral theory of the firm, we further investigate the moderating role of R&D income intensity discrepancy on the link between digital transformation attention and energy consumption intensity. Our findings indicate that positive R&D income intensity discrepancy weakens the positive relationship between digital transformation attention and energy consumption, whereas negative discrepancy does not have any impact. This study contributes to the extant literature by advancing the understanding of the intersection between digital transformation and sustainability, while extending the theoretical applications of the attention-based view and behavioral theory of the firm within the public sector. The findings also offer insights for policymakers and practitioners seeking to mitigate unintended environmental consequences and promote more sustainable initiatives to digital transformation.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"225 ","pages":"Article 124519"},"PeriodicalIF":13.3,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929183","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}
Pub Date : 2026-01-10DOI: 10.1016/j.techfore.2025.124521
Carlos Orús , Sergio Ibáñez-Sánchez , Carlos Flavián
Brands use Augmented Reality (AR) technologies in their marketing strategies. Among the AR applications, social AR filters enable brands to build new connections with customers on an intimate level, creating valuable experiences on social media and fostering consumers' storytelling. This research examines the effects of creativity of branded social AR filters, a key feature for the success of entertainment products, on users' responses toward brands. The results from an online questionnaire indicate that perceived originality and enjoyment elicit positive cognitive (awareness) and affective (image) reactions toward brands, which subsequently influence behavioral intentions. Additionally, we analyze the moderating role of brand intrusiveness and ad recognition, which can lessen and reinforce the positive effects of creativity on brand responses. Our findings contribute to the theoretical development of user experiences with branded social AR filters and provide recommendations for brand managers to design creative AR filter experiences that foster effective customer-brand connections.
{"title":"The impact of creativity in social AR filters on brand awareness, image, and behavioral intentions: The role of intrusiveness and Ad recognition","authors":"Carlos Orús , Sergio Ibáñez-Sánchez , Carlos Flavián","doi":"10.1016/j.techfore.2025.124521","DOIUrl":"10.1016/j.techfore.2025.124521","url":null,"abstract":"<div><div>Brands use Augmented Reality (AR) technologies in their marketing strategies. Among the AR applications, social AR filters enable brands to build new connections with customers on an intimate level, creating valuable experiences on social media and fostering consumers' storytelling. This research examines the effects of creativity of branded social AR filters, a key feature for the success of entertainment products, on users' responses toward brands. The results from an online questionnaire indicate that perceived originality and enjoyment elicit positive cognitive (awareness) and affective (image) reactions toward brands, which subsequently influence behavioral intentions. Additionally, we analyze the moderating role of brand intrusiveness and ad recognition, which can lessen and reinforce the positive effects of creativity on brand responses. Our findings contribute to the theoretical development of user experiences with branded social AR filters and provide recommendations for brand managers to design creative AR filter experiences that foster effective customer-brand connections.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"225 ","pages":"Article 124521"},"PeriodicalIF":13.3,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929182","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}
Pub Date : 2026-01-08DOI: 10.1016/j.techfore.2025.124520
Peng Hu , Xuru Wang , Jinqiang Wang
Algorithmic control has become a central feature of platform work, yet existing research primarily treats platform governance as an impersonal form of technological control. Drawing on self-determination theory, this study advances a co-managed human–algorithm governance perspective that conceptualizes workers' reactions as jointly shaped by algorithmic control and human support. We decompose workers' psychological reactance into cognitive and emotional forms and specify their distinct motivational antecedents. Our findings from platform-based delivery workers reveal that algorithmic control disrupts workers' sense of relatedness, giving rise to emotional reactance, while competence-related mechanisms play a limited role in this setting. Importantly, supervisor support attenuates the link between diminished relatedness and emotional reactance, underscoring the compensatory function of human intervention within algorithm-mediated work. By integrating algorithmic and human elements of control and differentiating the motivational structure of reactance, this study enriches theoretical understanding of the social and technological underpinnings of worker agency in platform labor.
{"title":"Integrating human support with algorithmic control: Psychological reactance in platform work","authors":"Peng Hu , Xuru Wang , Jinqiang Wang","doi":"10.1016/j.techfore.2025.124520","DOIUrl":"10.1016/j.techfore.2025.124520","url":null,"abstract":"<div><div>Algorithmic control has become a central feature of platform work, yet existing research primarily treats platform governance as an impersonal form of technological control. Drawing on self-determination theory, this study advances a co-managed human–algorithm governance perspective that conceptualizes workers' reactions as jointly shaped by algorithmic control and human support. We decompose workers' psychological reactance into cognitive and emotional forms and specify their distinct motivational antecedents. Our findings from platform-based delivery workers reveal that algorithmic control disrupts workers' sense of relatedness, giving rise to emotional reactance, while competence-related mechanisms play a limited role in this setting. Importantly, supervisor support attenuates the link between diminished relatedness and emotional reactance, underscoring the compensatory function of human intervention within algorithm-mediated work. By integrating algorithmic and human elements of control and differentiating the motivational structure of reactance, this study enriches theoretical understanding of the social and technological underpinnings of worker agency in platform labor.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"225 ","pages":"Article 124520"},"PeriodicalIF":13.3,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929258","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}
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