{"title":"Identifying Disruptive Technology Using SAOX Semantic Analysis and Web News Data Mining: A Perspective of Technology Convergence","authors":"Xin Li;Ning Gao;Yan Wang","doi":"10.1109/TEM.2025.3570691","DOIUrl":"https://doi.org/10.1109/TEM.2025.3570691","url":null,"abstract":"How to identify potential disruptive technologies as early as possible is of great significance for enterprise's R&D strategic decision-making and government's innovation policy formulation. Considering the shortcomings of the existing disruptive technology identification methods in semantic level analysis and the lack of analyses on the potential market impact assessment, this article proposes a framework for identifying disruptive technology using SAOX semantic analysis and web news data mining from a perspective of technology convergence. In the proposed framework, we first use the SAOX semantic analysis method and spectral clustering to obtain technology topics with high convergence. Then, based on the novelty, mutation, and growth characteristics of disruptive technologies, we employ the SAOX semantic analysis and mutation detection algorithms to analyze the novelty and mutation of the technology topics, respectively. In addition, the growth of technology topics is monitored, and potential disruptive technology topics are determined. Second, we analyze and assess the market impact of potential disruptive technology topics by mining the public's cognitive contents, attentions, and expected attitudes toward potential disruptive technology topics in web news. Finally, the analysis results of the technology topic characteristics and market impact are combined to identify disruptive technologies. Nanogenerator (NG) technology is used as a case study to verify the feasibility and validity of the proposed framework. This article contributes to our understanding of the characteristics of disruptive technology and will be of interest to NG technology R&D experts.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2116-2136"},"PeriodicalIF":4.6,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144219699","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":"Impact of Consumers Traceability Awareness on Blockchain Adoption in Supply Chains","authors":"Xiaopo Zhuo;Yajie Sun;Shaorui Zhou","doi":"10.1109/TEM.2025.3552437","DOIUrl":"https://doi.org/10.1109/TEM.2025.3552437","url":null,"abstract":"Blockchain technology (BCT) has emerged as a promising solution for ensuring supply chain traceability. However, not all consumers have a comprehensive understanding of the benefits associated with BCT-enabled traceability. In this article, we investigate the impacts of consumer awareness on the adoption of BCT within a supply chain comprising a manufacturer and a retailer. We develop two distinct scenarios: Scenario B, where the supply chain traceability is managed via traditional digital systems, and Scenario E, where the supply chain traceability is managed via BCT-enabled systems. We introduce the concept of consumer traceability awareness level, representing the proportion of the consumer population that is knowledgeable about the advantages of these traceability technologies. The findings reveal that the adoption of BCT enhances the overall performance of the supply chain and makes it more sensitive to the consumer traceability awareness level. Nonetheless, the manufacturer consistently experiences advantages from BCT adoption, whereas the retailer's situation may deteriorate. In both scenarios, a low traceability awareness level prompts the retailer to target all consumers, whereas a high-traceability awareness level shifts its focus solely to the knowledgeable consumers. Intriguingly, the adoption of BCT shifts the retailer's inclination toward targeting the knowledgeable consumers rather than all consumers.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"1140-1153"},"PeriodicalIF":4.6,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801053","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":"Empowering Firms With AI-Generated Content: Strategic Approaches to R&D and Advertising in the Era of Generative AI","authors":"Longyu Li;Jizi Li;Nazrul Islam;Justin Zuopeng Zhang;Abhishek Behl","doi":"10.1109/TEM.2025.3552142","DOIUrl":"https://doi.org/10.1109/TEM.2025.3552142","url":null,"abstract":"Commercial utilization of generative artificial intelligence (GAI) is expanding rapidly. However, few studies have investigated the transformative impact of GAI on business operations, with a specific focus on research and development (R&D) and advertising facilitated by AI-generated content (AIGC) empowerment; particularly, there is a lack of analysis on the impact of AIGC iteration on firms’ decision-making. The study uses the optimal control and learning-by-doing method to examine two types of AIGC strategies, the single AIGC (enhancing R&D exclusively) and the dual AIGC (simultaneously boosting R&D and advertising), to delve into their dynamic iteration effects on firms’ performance. Our findings reveal that, under the single AIGC strategy, focusing on investments in the AI training R&D sector alone can enhance the GAI smartness level more effectively than adopting the dual AIGC strategy. Conversely, under the dual AIGC strategy, firms initially tend to select GAI empowerment toward the downstream advertising sector more than the upstream R&D sector. Both strategies demonstrate enhanced profits and increased demand with higher rates of AIGC self-learning. Notably, considering the limited budget, firms prioritize allocating AI training resources to the R&D sector under the dual AIGC strategy, guaranteeing their long-term success.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"1787-1798"},"PeriodicalIF":4.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949335","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":"From Compliance to Competitiveness: Unpacking the Impact of ESG Performance on Strategic Innovation and Market Dynamics","authors":"Zeyu Xing;Jing Huang;Debin Fang","doi":"10.1109/TEM.2025.3551742","DOIUrl":"https://doi.org/10.1109/TEM.2025.3551742","url":null,"abstract":"This article investigates the relationship between environmental, social, and governance (ESG) performance and corporate innovation strategies using an evolutionary game model. It clarifies how firms make strategic decisions under varying ESG benchmarks. The analysis shows that government subsidies help mitigate financial risks linked to exploratory innovation, encouraging firms to pursue competitive return innovation activities. As market competition intensifies, firms often shift toward more conservative innovation strategies—unless counterbalanced by significant profit opportunities. Notably, the findings reveal a “U-shaped” relationship between ESG performance and innovation: early ESG efforts may initially constrain innovation by reallocating resources to compliance, but stronger ESG engagement ultimately enhances innovation capabilities. By integrating stakeholder and institutional theories, this article illuminates how ESG practices influence innovation choices in different institutional contexts, advancing our theoretical understanding of sustainable innovation. These insights can inform corporate strategies and policy frameworks aimed at fostering long-term, sustainable development.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"1297-1319"},"PeriodicalIF":4.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835353","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}
Xing Pan;Lieyun Ding;Botao Zhong;Luoxin Shen;Yuhang Wang
{"title":"Collaborative Governance: Blockchain-Based Federated Learning for Construction Safety Service","authors":"Xing Pan;Lieyun Ding;Botao Zhong;Luoxin Shen;Yuhang Wang","doi":"10.1109/TEM.2025.3552184","DOIUrl":"https://doi.org/10.1109/TEM.2025.3552184","url":null,"abstract":"Deep learning (DL) models are increasingly used to identify unsafe activities for the construction safety service (CSS). However, two typical issues threaten DL training process performance: poor security and privacy in data sharing. To address these problems, a blockchain-based federated learning (BCFL) framework is proposed from a collaborative governance perspective to obtain optimistic DL models for CSS. Two special works of this BCFL framework are that 1) it develops the federated learning empowered privacy-preserving data sharing with the principle of sharing data model weights instead of raw data (especially for one DL application for CSS, the Fed-YOLOv4 model for workers’ unsafe behavior identification task is developed) and 2) it explores two blockchain-based secure model sharing strategies that involve blockchain–interplanetary file system combination and model training contribution computing. Then, the smart contracts are further developed with the strategies above to streamline the workflow of federated DL model training. Finally, we apply the proposed framework to the practical subway project. The results demonstrate that the proposed framework can improve the DL model training and acquire global DL models for CSS with good accuracy. Our findings indicate that great data security and privacy ensured by introducing blockchain and federated learning can optimize data sharing and then DL models can be improved. Moreover, this study provides managers with a collaborative governance perspective on how DL models can be improved and further applied to CSS. This enables managers to quickly understand project safety performance and make timely managerial decisions for construction management.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"1163-1177"},"PeriodicalIF":4.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800737","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":"Firm-Specific Patent Recommendation Using Topology-Based Link Prediction and SAO Embedding Method","authors":"Zhenfeng Liu;Xinyu Wang;Jian Feng","doi":"10.1109/TEM.2025.3570659","DOIUrl":"https://doi.org/10.1109/TEM.2025.3570659","url":null,"abstract":"In the context of rapidly developing exploratory innovation, relying solely on in-house R&D without external knowledge is impractical, while abandoning existing technological advantages to explore new fields is equally unrealistic. Firms should actively seek external knowledge transfer to drive their own innovation. To address this, this study proposes a patent recommendation method that balances a firm's technical foundation with external knowledge. First, the topology-based link prediction method assesses the firm's technical foundation and identifies candidate patents using external knowledge. Then, the SAO-Doc2vec model analyzes the similarity between candidate and target patents for recommendation. Experimental comparisons with three benchmarks demonstrate that the proposed method outperforms in terms of patent similarity, novelty, and diversity. The method is further applied in two domains, including three-dimensional (3-D) printing firm Stratasys, the method uncovers undeveloped areas like G05B, which involves control systems. The study also explores the distribution and competition of integrating G05B with 3-D printing across countries and firms. Interestingly, an extended case with Lingdong Technology demonstrates the method's effectiveness for emerging firms with underdeveloped patent portfolios. This study provides actionable insights for firms seeking reference patents and supports strategic R&D decisions, helping firms explore innovation opportunities.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2097-2115"},"PeriodicalIF":4.6,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144219738","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}
Sungwook Jung;Jiho Yoon;Srinivas Talluri;Changhee Kim
{"title":"Effectiveness of Ambidextrous Strategy Over the Company's Life Cycle: Evidence From Korean SMEs","authors":"Sungwook Jung;Jiho Yoon;Srinivas Talluri;Changhee Kim","doi":"10.1109/TEM.2025.3551249","DOIUrl":"https://doi.org/10.1109/TEM.2025.3551249","url":null,"abstract":"In today's business environment, companies face the dual challenge of improving customer satisfaction through continuous innovation while enhancing efficiency. The ambidextrous strategy has emerged as a promising approach to address such a challenge. This study investigates whether the ambidextrous strategy enhances firm performance and capabilities compared to efficiency-oriented or innovation-oriented strategies in the context of small and medium-sized manufacturing companies in Korea. To achieve this objective, companies were categorized within a 2×2 matrix, with quadrants determined based on mean values of efficiency scores and the level of innovation. Notably, this research differs from prior studies by placing a specific emphasis on quantifying operational efficiency through the input-oriented BCC data envelopment analysis model. Subsequently, it empirically identifies the most effective strategy both in a general sense and at each life cycle stage. The findings of this study are twofold: First, companies in the mature growth and maturity stages achieve the highest sales profits when actively pursuing an ambidextrous strategy. Second, companies prioritizing innovation generally demonstrate higher capabilities across all stages. These results offer valuable insights and strategic guidance for business practitioners seeking strategic approaches that balance innovation and efficiency.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"1089-1101"},"PeriodicalIF":4.6,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740237","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":"Enhancing Creativity and Sustainable Competitive Advantage Through Data-Driven Decision-Making and Digital Leadership","authors":"Shaofeng Wang;Mengjia Gao;Hao Zhang","doi":"10.1109/TEM.2025.3551331","DOIUrl":"https://doi.org/10.1109/TEM.2025.3551331","url":null,"abstract":"Digital transformation is essential for businesses to maintain creativity and competitiveness. This study explores how digital transformation impacts corporate creativity and competitive advantage in SMEs by leveraging the TOE framework and RBT. Our model integrates both internal and external factors, focusing on data-driven decision-making and digital leadership. Data from 537 SMEs were analyzed using PLS-SEM, IPMA, and fsQCA. Results indicate that technological competence, organizational support, and government support positively influence digital integration, enhancing data-driven decision-making. This decision-making process significantly boosts sustainable competitive advantage and organizational creativity. Digital leadership positively moderates these relationships. Our findings provide actionable insights for SMEs leveraging digital transformation for sustained competitive advantage and creativity. The unique long-term value of this research lies in its comprehensive examination of how digital transformation facilitates both creativity and sustainablecompetitive advantage in SMEs. This study offers a novel theoretical model and empirical evidence that can guide international practitioners and scholars in understanding and implementing effective digital transformation strategies.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"1361-1375"},"PeriodicalIF":4.6,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845401","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":"It is Not Easy Diffusing Green: The Impact of Mandatory Regulations on the Diffusion Breadth and Depth of Voluntary Environmental Standards","authors":"Liumiao Qin;Qinghua He;Ge Wang;Qingwei Nie;Jian Zuo","doi":"10.1109/TEM.2025.3550873","DOIUrl":"https://doi.org/10.1109/TEM.2025.3550873","url":null,"abstract":"The adoption of voluntary environmental standards has emerged as a promising approach to coping with climate change and achieving sustainable development. While prior research has underscored the significance of establishing an appropriate regulatory environment in diffusing these standards, the relationship between mandatory regulations and voluntary environmental standards adoption remains controversial. Distinguishing from the view of a positive or negative linear relationship, in this article, we draw on neoinstitutional theory to suggest that the tradeoff between the legitimacy benefits and costs may result in a curvilinear relationship. Specifically, using leadership in energy and environmental design certification data in the U.S. states from 2000 to 2020, we investigate how mandatory regulations influence the diffusion of voluntary environmental standards and examine the moderating role of policy mood (liberal ideology versus conservative ideology). Our findings reveal a U-shaped relationship between mandatory regulations and the diffusion breadth and depth of voluntary environmental standards. Moreover, policy mood favoring more liberal ideology amplifies the convexity of these U-shaped relationships. Our study contributes to the growing body of research on environmental governance and offers novel insights into strategies for effectively diffusing voluntary environmental standards in terms of breadth and depth. In addition, this study also provides guidance for policymakers to foster sustainability practices diffusion through regulatory instruments.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"1102-1116"},"PeriodicalIF":4.6,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748736","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":"The Impacts of Reward Structures on MTS-Based New Information Technology Product Development","authors":"Jacob Chia-An Tsai;Xiaosong Wu;James J. Jiang","doi":"10.1109/TEM.2025.3550279","DOIUrl":"https://doi.org/10.1109/TEM.2025.3550279","url":null,"abstract":"The literature on multiteam systems (MTSs) consistently emphasizes the need for multiple teams to collaborate in their efforts to accomplish overarching goals. Despite this consensus, management frequently encounters a distinct lack of coordination among teams engaged in new information technology product development (NITPD). The prevailing wisdom suggests that shared rewards can motivate intrateam members to prioritize shared responsibilities in pursuit of team-based goals, while individual rewards can motivate personal accomplishments. As research on MTS matures, in this article, we acknowledge a gap in our theoretical understanding of how better to motivate a group of teams within these systems. Our approach harnesses prevailing reward structures through a sequential mixed-method design, culminating in the establishment of an “MTS reward structures” framework. This framework integrates rewards focused on individual component teams with those targeting the MTS as a whole, taking into consideration the dynamic interplay with NITPD tasks. Qualitative findings suggest that task characteristics distinctly influence team motivation: information technology (IT) compatibility-building tasks appear to heighten perceived dependency and, thus, better motivate teams when system-based rewards are offered, while IT novelty-responding tasks seem to bolster perceived competence, resonating more with teams that receive component-team-based rewards. Our quantitative analysis, drawing from a multiwave and multisource survey involving 104 large-scale NITPDs, tests these hypothesized relationships. Results reveal that the nature of the task at hand profoundly magnifies the relationship between given reward structures and level of interteam coordination—an insight pivotal for managing and motivating teams in complex, NITPD contexts.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"1052-1068"},"PeriodicalIF":4.6,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740235","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}