Zhiying Zhou;Justin Zuopeng Zhang;Liandong Zhou;Muhammad Mustafa Kamal
{"title":"Synergizing Success: Unraveling the Impact of Value Cocreation in Manufacturing Innovation Ecosystems on Firm Performance","authors":"Zhiying Zhou;Justin Zuopeng Zhang;Liandong Zhou;Muhammad Mustafa Kamal","doi":"10.1109/TEM.2025.3582095","DOIUrl":"https://doi.org/10.1109/TEM.2025.3582095","url":null,"abstract":"This study explores the impact mechanism of value cocreation among multiple actors in the manufacturing innovation ecosystem on firm performance. We construct an integrated theoretical framework of “Actor Typology-Interaction Pattern-Performance Output” to systematically reveal the collaborative innovation pathways among heterogeneous actors and the moderating effect of environmental dynamism. Using a mixed-methods approach that combines qualitative interviews and quantitative analysis, the research explores and validates the differentiated transmission mechanisms by which value co-creation among core actors, driving actors, and service actors impacts firm performance through interaction orientation. The results show that interaction orientation partially mediates the effect of value co-creation between core firms and other firms/customers on firm performance, while fully mediating the effect of value cocreation between core firms and driving/service actors on performance. Additionally, environmental dynamism significantly moderates the impact of interaction orientation on firm performance. The research findings advocate for tailored interaction orientation strategies that align with different actors in the ecosystem and various environmental change scenarios, aiming to optimize firm performance within the manufacturing innovation ecosystem.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3765-3778"},"PeriodicalIF":5.2,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11072525","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Federico Platania;Celina Toscano Hernandez;Imane El Ouadghiri;Jonathan Peillex
{"title":"Harnessing the Power of AI in RD&E Management: The Innovation Index","authors":"Federico Platania;Celina Toscano Hernandez;Imane El Ouadghiri;Jonathan Peillex","doi":"10.1109/TEM.2025.3585975","DOIUrl":"https://doi.org/10.1109/TEM.2025.3585975","url":null,"abstract":"This article investigates the complex relationship between artificial intelligence (AI)-related technological innovation and its impact on the market returns of leading technology companies. We introduce the “Innovation Index,” a latent variable based on the number of AI-related patents, and incorporate it into the traditional Fama–French model to better capture the influence of AI advancements on financial performance. Using a state-space representation, our empirical analysis suggests that AI-related innovation significantly contributes to the market returns of prominent and leading technology firms. The findings highlight the strategic importance of AI investments in sustaining long-term growth and competitiveness.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3055-3064"},"PeriodicalIF":4.6,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Semantic Analysis for Assessing the Standard-Essentiality of Patents—A Proof of Concept","authors":"Andre Herzberg;Valentin J. Schmitt;Lothar Walter","doi":"10.1109/TEM.2025.3586670","DOIUrl":"https://doi.org/10.1109/TEM.2025.3586670","url":null,"abstract":"Interoperability between technical devices is crucial for manufacturers as well as consumers and is largely facilitated by the development and adoption of technical standards. These standards, which are prominently utilized in information and communication technology, are developed by standard setting organizations such as the European Telecommunications Standards Institute. Companies involved in this process can influence the standards to secure competitive advantages, often by declaring their patents as standard-essential. However, the lack of a rigorous evaluation of these declarations can lead to issues such as overdeclaration or underdeclaration of standard-essential patents (SEPs). Determining the SEP status is complex, involves technical and sometimes economic considerations, and is typically a time-consuming manual process. Recent research has explored semantic and machine learning methods for automating SEP assessment, although these methods primarily provide probabilistic outcomes. Therefore, we provide a proof of concept, which aims to improve existing semantic analysis approaches by addressing the distinct linguistic and structural features of technical standards and patents. The results indicate which type of pre-processing and which text fragment from a selected technical standard and US-patents yields in the highest semantic similarity. This has methodological implications for researchers, as its sheds light on the assessment of standard-essentiality. Furthermore, managerial implications arise for companies, policy makers and patent examiners, who can use our approach for the assessment of SEPs and as yet undeclared patents.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3065-3079"},"PeriodicalIF":4.6,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11072303","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144704954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of Knowledge Coupling on Technological Generality in AI: The Moderating Role of Collaborative Innovation Network Centralities","authors":"Lingling Qin;Weihong Xie;Xiafei Chen","doi":"10.1109/TEM.2025.3586481","DOIUrl":"https://doi.org/10.1109/TEM.2025.3586481","url":null,"abstract":"Artificial intelligence (AI) is widely regarded as a general-purpose technology in both academic and practical domains. One key technological application feature of AI is the varying degree of technological generality across different AI technologies. Drawing on theories of recombinant search and social network, this study explores how knowledge coupling influences AI technological generality. In addition, we examine the moderating effects of collaborative innovation network centralities, i.e., betweenness centrality and closeness centrality. Using a dataset of 10 575 AI patents between 1978 and 2016, our findings reveal an inverted U-shaped relationship between knowledge coupling and technological generality. Moreover, betweenness centrality strengthens the nonlinear relationship, whereas closeness centrality attenuates it. This research has important theoretical and practical significance for AI technological innovation and innovation collaboration strategies.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2913-2925"},"PeriodicalIF":4.6,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Krishna Kumar;Neeraj Kumar Pandey;Filippo Verre;Rachna Shah
{"title":"Cybersecurity Challenges in the Digitization and Integration of Renewable Energy Systems: A Review","authors":"Krishna Kumar;Neeraj Kumar Pandey;Filippo Verre;Rachna Shah","doi":"10.1109/TEM.2025.3586557","DOIUrl":"https://doi.org/10.1109/TEM.2025.3586557","url":null,"abstract":"Renewable energy generation is a key to a sustainable future. Efforts are continuously being made to develop new technologies that improve energy harnessing in a more sustainable way. Additionally, existing systems are being improved with modern practices to increase their resilience and efficiency. However, the transition from conventional to digital energy systems brings significant cybersecurity challenges due to the increase in complexity and interconnectedness of energy systems. This article provides a comprehensive review of cybersecurity challenges in digitizing and integrating renewable energy systems. The article highlights the intertwined nature of cyber and physical threats, emphasizing how cyberattacks can lead to grid instability and disruptions in power infrastructure. It also provides an understanding of the evaluation of mitigation strategies, including advanced encryption, real-time anomaly detection, and standardized cyber security protocols. The study provides a roadmap for enhancing the security of renewable energy infrastructures, ensuring a reliable and resilient transition to digital energy systems. The findings suggest that while advancements in cybersecurity have improved certain aspects of energy security, significant gaps remain. Therefore, real-time monitoring, regulatory compliance, and industry-wide cooperation are essential for addressing cybersecurity threats.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3042-3054"},"PeriodicalIF":4.6,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robot Penetration and the Executive–Employee Pay Gap: Unveiling a U-Shaped Relationship in Chinese A-Share Listed Companies","authors":"Xiuqi Jiang;Ying Jiang","doi":"10.1109/TEM.2025.3586291","DOIUrl":"https://doi.org/10.1109/TEM.2025.3586291","url":null,"abstract":"The current thriving robot industry is greatly transforming the way humans produce and live. This article employs A-share listed corporations as a sample and finds that there is a U-shaped correlation between robot penetration (RP) and the executive–employee pay gap. This nonlinear relationship mainly exists in state-owned, large-scale, and highly labor-intensive enterprises. Further analysis finds that the U-shaped relationships may stem from the dynamic impact of RP on the internal labor structure and production scale. That is, RP will have an inverted U-shaped influence on the proportion of highly skilled employees, and will generally expand the production scale of enterprises. The findings provide actionable guidance for corporate compensation design and human-capital planning.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2883-2891"},"PeriodicalIF":4.6,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144646498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Bane or Boon of Technologies: Risks and Benefits of Drone Delivery on Last-Mile Operations","authors":"Eric Ka Ho Leung;Xin Wen","doi":"10.1109/TEM.2025.3584730","DOIUrl":"https://doi.org/10.1109/TEM.2025.3584730","url":null,"abstract":"Drones for logistics operations have emerged as a popular topic in logistics, offering numerous benefits and risks to the society and environment. While drones can have a significant impact on the surroundings, the environment and external factors can also influence drone delivery operations, resulting in a complex interplay. This article combines a comprehensive literature review and cocitation analysis, supplemented by practices, to explore the two-way interaction between drones and the environment. The benefits and risks of this interaction are also examined. A trend analysis is further conducted to generate insights regarding the stages of development in the literature. Combining findings from the reviewed literature and practices, we propose the novel 3R framework to guide future drone delivery adoption in practical operations. This framework highlights the importance of investigating drone delivery models and their respective risks that should be mitigated. Finally, a future research agenda is proposed to inspire further explorations in this rapidly evolving field of last-mile operations.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2892-2912"},"PeriodicalIF":4.6,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adjustable Robust Optimization Model for Construction Material Procurement Considering Two-Way Claims Under Price and Demand Uncertainty","authors":"Kaiyue Zhang;Yinghan Zhu;Jing Zhou","doi":"10.1109/TEM.2025.3584472","DOIUrl":"https://doi.org/10.1109/TEM.2025.3584472","url":null,"abstract":"The dual uncertainty of construction material price and demand, which is a multiplication of uncertainties, magnifies the level of cost uncertainty. Moreover, the shortage cost of construction material is related to the project period, affecting the tradeoff between capital utilization and stockout. Therefore, considering the dual uncertainties of supply price and demand, this article constructs a multistage adjustable robust optimization model to determine the optimal construction material procurement strategy. The model also considers the two-way contract claim agreements between the contractor and the owner. This article further compares four scenarios—where both price and demand are known, price is known but demand is unknown, price is unknown but demand is known, and both price and demand are unknown—to analyze the impact of uncertainty on optimal cost. Furthermore, this article examines the effect of the degree of demand uncertainty and negotiated price on optimal cost and robust optimal procurement strategies. It could guide contractors in claim contract negotiations and procurement optimization in practical applications.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2926-2943"},"PeriodicalIF":4.6,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 Corporate Digitalization Affect Circular Supply Chain Management?","authors":"Qinru Wang;Fu Jia;Lujie Chen;Ying Yang","doi":"10.1109/TEM.2025.3585246","DOIUrl":"https://doi.org/10.1109/TEM.2025.3585246","url":null,"abstract":"With the application of digital technologies, the business world is experiencing a disruptive revolution in terms of operations and supply chain management (OSCM). Anecdotal evidence suggests that digitalization is a viable approach for companies to achieve circular supply chain management (CSCM); however, empirical studies remain scarce. In this study, we investigate the digitalization–CSCM relationship by extracting management discussion and analysis texts from the annual reports of 1026 Chinese listed companies over 2009–2021, and measure their level of digitalization using natural language processing based on four types of technologies [i.e., artificial intelligence (AI), blockchain, cloud computing and other digital technologies]. We adopt resource dependence theory as a framework to better understand the relationship between digitalization and CSCM. Firms with higher levels of digitalization perform better in CSCM. AI and cloud computing are more important than blockchain and other digital technologies in improving CSCM. Furthermore, we find that supply chain concentration negatively moderates this relationship. These findings are validated through a series of robustness checks. The study contributes to the OSCM literature by demonstrating the positive impact of digitalization on CSCM and providing an analysis of the OSCM-related moderating effects on this relationship for emerging markets.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2811-2830"},"PeriodicalIF":4.6,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144634869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Do Supplier CEO’s National Cultural Origins Affect Supplier–Customer Relationships?","authors":"Peng Liang;Hasan Cavusoglu;Nan Hu","doi":"10.1109/TEM.2025.3585492","DOIUrl":"https://doi.org/10.1109/TEM.2025.3585492","url":null,"abstract":"This study investigates how the national cultural origins of supplier chief executive officers (CEOs), as characterized by Hofstede’s cross-cultural dimensions, influence the duration of supplier–customer relationships. By analyzing the cultural origins of supplier CEOs from 20 countries over a 25-year period, we find that supplier CEOs with high long-term orientation (LTO) and high uncertainty avoidance (UNA) are associated with longer lasting supplier–customer relationships, while those with high individualism (IND) are associated with shorter relationship durations. These findings are robust to several alternative explanations of customer and supplier CEO variables. To address potential endogeneity—specifically, the concern that CEOs with certain cultural traits may be more likely to join particular firms—we employ a two-stage analysis using predicted cultural origins. Analyses of the mechanisms show that high-LTO suppliers tend to invest more in innovation, high-IND CEOs receive higher compensation, and high-UNA suppliers are less likely to engage in risky activities. Implications and suggestions for future research are also discussed in detail.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2848-2860"},"PeriodicalIF":4.6,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144640946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}