Pub Date : 2025-02-06DOI: 10.1109/TEM.2025.3539799
{"title":"2024 Index IEEE Transactions on Engineering Management Vol. 71","authors":"","doi":"10.1109/TEM.2025.3539799","DOIUrl":"https://doi.org/10.1109/TEM.2025.3539799","url":null,"abstract":"","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15595-15792"},"PeriodicalIF":4.6,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10877711","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143361066","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}
Pub Date : 2025-01-23DOI: 10.1109/TEM.2025.3531645
Arturo Calvo-Mora;Helena Alves;Ángel F. Villarejo-Ramos
Quality has undergone various transformations and developments in recent decades due to technological, organizational, and social advances. Industry 4.0 currently involves the integration of new technologies, digitalization, and the massive use of data in manufacturing processes. This represents a paradigm shift in quality management. However, the meaning and fundamentals of quality 4.0 (Q4.0) are still debated in the literature. In this article, the main objective is to identify the key dimensions and implementation profiles of Q4.0 in Spanish industrial and service organizations with excellence recognition systems. Different multivariate analysis techniques, such as cluster analysis, contingency tables, and one-factor analysis of variance, are used as a methodology. The results identify three profiles of organizations (advanced, in-development, and early stage) that apply the nine critical dimensions of Q4.0 identified with varying intensity. In addition, customer engagement, human resource management for Q4.0, and data for decision support are the dimensions that most help differentiate these organizations. Finally, differences were found in the degree of Q4.0 implementation according to size, sector, and the degree of excellence achieved by the organization.
{"title":"Quality 4.0 Key Dimensions and Implementation Profiles in Organizations of Excellence: A Cluster Analysis","authors":"Arturo Calvo-Mora;Helena Alves;Ángel F. Villarejo-Ramos","doi":"10.1109/TEM.2025.3531645","DOIUrl":"https://doi.org/10.1109/TEM.2025.3531645","url":null,"abstract":"Quality has undergone various transformations and developments in recent decades due to technological, organizational, and social advances. Industry 4.0 currently involves the integration of new technologies, digitalization, and the massive use of data in manufacturing processes. This represents a paradigm shift in quality management. However, the meaning and fundamentals of quality 4.0 (Q4.0) are still debated in the literature. In this article, the main objective is to identify the key dimensions and implementation profiles of Q4.0 in Spanish industrial and service organizations with excellence recognition systems. Different multivariate analysis techniques, such as cluster analysis, contingency tables, and one-factor analysis of variance, are used as a methodology. The results identify three profiles of organizations (advanced, in-development, and early stage) that apply the nine critical dimensions of Q4.0 identified with varying intensity. In addition, customer engagement, human resource management for Q4.0, and data for decision support are the dimensions that most help differentiate these organizations. Finally, differences were found in the degree of Q4.0 implementation according to size, sector, and the degree of excellence achieved by the organization.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"527-545"},"PeriodicalIF":4.6,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143361074","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}
Pub Date : 2025-01-23DOI: 10.1109/TEM.2025.3532700
Min Gong;Wei Wang;Xu Jiang
Performance surplus plays a crucial role in driving firm innovation. This study, grounded in self-enhancement theory and behavioral research, proposed a research model on how firm innovation is affected by performance surplus inconsistency, which refers to discrepancies in historical and social performance surpluses. Using panel data from 1415 publicly listed Chinese manufacturing companies spanning 2007 to 2019, we applied polynomial regression and response surface analysis to test our research model. Polynomial regression allowed us to examine how multiple independent variables simultaneously influence the outcome, while response surface analysis used the regression coefficients to further evaluate and visually represent how inconsistent combinations of these variables impact the outcome. Our findings reveal that performance surplus inconsistency positively influences research and development (R&D) intensity. Firms that exhibit a combination of low historical performance surplus and high social performance surplus demonstrate higher levels of R&D intensity compared with those with the reverse combination (high historical performance surplus and low social performance surplus). We also find that government subsidies enhance the positive effect of performance surplus inconsistency on R&D intensity. By emphasizing the role of performance surplus inconsistency in driving firm innovation, this study offers a multireference perspective to explore innovation in high-performing firms. It contributes to ongoing discussions on performance surplus and firm innovation, offering valuable insights for managers and policymakers to promote innovation.
{"title":"Performance Surplus Inconsistency and Firm Innovation: Evidence From China","authors":"Min Gong;Wei Wang;Xu Jiang","doi":"10.1109/TEM.2025.3532700","DOIUrl":"https://doi.org/10.1109/TEM.2025.3532700","url":null,"abstract":"Performance surplus plays a crucial role in driving firm innovation. This study, grounded in self-enhancement theory and behavioral research, proposed a research model on how firm innovation is affected by performance surplus inconsistency, which refers to discrepancies in historical and social performance surpluses. Using panel data from 1415 publicly listed Chinese manufacturing companies spanning 2007 to 2019, we applied polynomial regression and response surface analysis to test our research model. Polynomial regression allowed us to examine how multiple independent variables simultaneously influence the outcome, while response surface analysis used the regression coefficients to further evaluate and visually represent how inconsistent combinations of these variables impact the outcome. Our findings reveal that performance surplus inconsistency positively influences research and development (R&D) intensity. Firms that exhibit a combination of low historical performance surplus and high social performance surplus demonstrate higher levels of R&D intensity compared with those with the reverse combination (high historical performance surplus and low social performance surplus). We also find that government subsidies enhance the positive effect of performance surplus inconsistency on R&D intensity. By emphasizing the role of performance surplus inconsistency in driving firm innovation, this study offers a multireference perspective to explore innovation in high-performing firms. It contributes to ongoing discussions on performance surplus and firm innovation, offering valuable insights for managers and policymakers to promote innovation.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"512-526"},"PeriodicalIF":4.6,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143361073","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}
Pub Date : 2025-01-20DOI: 10.1109/TEM.2025.3528070
Li Yao;Jun Li;Jie Cen
Interdisciplinary research and the resulting interdisciplinary technology have garnered significant attention and resources because of their potential to offer innovative solutions for major societal challenges. Despite this interest, the literature on the economic impacts of interdisciplinary technology remains limited. This study aims to investigate the relationship between interdisciplinary university technology and its potential for commercial success. Drawing on the knowledge recombination view, our study proposes that the technology readiness level (TRL) and high coordination costs are two underlying factors that hinder the commercialization—indicated by patent licensing and reassignment to firms—of interdisciplinary university technology. On the basis of learning theory, we propose that three factors, namely, the inventor's industrial experience, university–industry engagement, and experiential learning over time, mitigate the challenges associated with a low TRL and high university–industry coordination costs, thereby increasing the propensity for commercializing interdisciplinary technology. To test our arguments, we employ a topic modeling method on 287 616 Chinese university patents to construct a topical diversity index for each patent, which measures each patent's level of interdisciplinarity. The regression analysis reveals that, for our novel definitions of patent topical diversity and the TRL introduced in this work, topical diversity is negatively associated with the TRL and, ultimately, the commercialization rate. Furthermore, inventor industrial experience, university–industry engagement, and time positively moderate the relationship between interdisciplinary technology and commercialization. Our research has important theoretical and practical implications for interdisciplinarity and technology commercialization.
{"title":"Unpacking the Mechanism of the Economic Impact of University Interdisciplinary Research: A Topic Modeling Approach","authors":"Li Yao;Jun Li;Jie Cen","doi":"10.1109/TEM.2025.3528070","DOIUrl":"https://doi.org/10.1109/TEM.2025.3528070","url":null,"abstract":"Interdisciplinary research and the resulting interdisciplinary technology have garnered significant attention and resources because of their potential to offer innovative solutions for major societal challenges. Despite this interest, the literature on the economic impacts of interdisciplinary technology remains limited. This study aims to investigate the relationship between interdisciplinary university technology and its potential for commercial success. Drawing on the knowledge recombination view, our study proposes that the technology readiness level (TRL) and high coordination costs are two underlying factors that hinder the commercialization—indicated by patent licensing and reassignment to firms—of interdisciplinary university technology. On the basis of learning theory, we propose that three factors, namely, the inventor's industrial experience, university–industry engagement, and experiential learning over time, mitigate the challenges associated with a low TRL and high university–industry coordination costs, thereby increasing the propensity for commercializing interdisciplinary technology. To test our arguments, we employ a topic modeling method on 287 616 Chinese university patents to construct a topical diversity index for each patent, which measures each patent's level of interdisciplinarity. The regression analysis reveals that, for our novel definitions of patent topical diversity and the TRL introduced in this work, topical diversity is negatively associated with the TRL and, ultimately, the commercialization rate. Furthermore, inventor industrial experience, university–industry engagement, and time positively moderate the relationship between interdisciplinary technology and commercialization. Our research has important theoretical and practical implications for interdisciplinarity and technology commercialization.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"471-490"},"PeriodicalIF":4.6,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105743","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}
Pub Date : 2025-01-20DOI: 10.1109/TEM.2024.3524697
{"title":"IEEE Technology and Engineering Management Society Publication Information","authors":"","doi":"10.1109/TEM.2024.3524697","DOIUrl":"https://doi.org/10.1109/TEM.2024.3524697","url":null,"abstract":"","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"C2-C2"},"PeriodicalIF":4.6,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10847629","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993282","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}
Pub Date : 2025-01-17DOI: 10.1109/TEM.2024.3415500
Tengjian Zou;Fei Xiong;Sihan Li;Weiqi Zhang
A/B testing plays an essential role in driving firms’ digital product innovation. However, it is astonishing that a majority of the firms around the world have not adopted A/B testing in their digital innovation process. Therefore, what factors can impact firms’ usage of A/B testing in their digital product development becomes an important question that merits a deep investigation. To address this issue, in this article, we leverage a technology–organization–environment framework to investigate the specific technological, organizational, and environmental factors that can facilitate or hinder firms’ usage of A/B testing. We also explore the mediation paths among these factors and the boundary conditions for these relationships. Based on our analyses of a sample of 555 firms in China, we find support for most of our hypotheses. Our study contributes to a growing literature on A/B testing and offers important implications for managers and policymakers in terms of how to advance firms’ usage of A/B testing.
{"title":"Understanding the Determinants of Firms’ Usage of A/B Testing: A Technology–Organization– Environment Framework","authors":"Tengjian Zou;Fei Xiong;Sihan Li;Weiqi Zhang","doi":"10.1109/TEM.2024.3415500","DOIUrl":"https://doi.org/10.1109/TEM.2024.3415500","url":null,"abstract":"A/B testing plays an essential role in driving firms’ digital product innovation. However, it is astonishing that a majority of the firms around the world have not adopted A/B testing in their digital innovation process. Therefore, what factors can impact firms’ usage of A/B testing in their digital product development becomes an important question that merits a deep investigation. To address this issue, in this article, we leverage a technology–organization–environment framework to investigate the specific technological, organizational, and environmental factors that can facilitate or hinder firms’ usage of A/B testing. We also explore the mediation paths among these factors and the boundary conditions for these relationships. Based on our analyses of a sample of 555 firms in China, we find support for most of our hypotheses. Our study contributes to a growing literature on A/B testing and offers important implications for managers and policymakers in terms of how to advance firms’ usage of A/B testing.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"378-400"},"PeriodicalIF":4.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993285","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}
Pub Date : 2025-01-14DOI: 10.1109/TEM.2025.3529522
Shangfeng Zhang;Mengyue Zhu;José Fernando Gallego-Nicholls;Zitian Su;Congcong Chen
Modeling the shift from high-growth to high-quality development in China is a challenge in macroeconomic engineering management. Using a finite mixture model, this study examines the effects of labor reallocation under different growth patterns and explores how regionally differentiated growth characteristics reflect shifts in growth patterns. It examines differences in economic development between regions, focusing on the role of labor reallocation in these regional differences. Growth patterns between provinces were observed to be inconsistent. Growth in the three major industries was categorized into three different types. Structural adjustments in regional growth were observed. Growth patterns in most regions changed in the primary and tertiary industries. In approximately one third of regions, changes occurred in the secondary industry. China's economy has shifted from factor-driven growth to efficiency-driven growth. The cost disease effect under shifting growth patterns is greater than under general growth patterns. Ignoring heterogeneity and variations in growth patterns across the four major economic regions leads to an underestimation of the cost disease effect by 5% to 40%. The findings of this research provide a theoretical basis for sustainable development. The present study broadens the scope of application of engineering management. Regional government decision makers should adapt policies to each region's unique economic structure and stage of development. In this way, labor reallocation can lead to higher productivity and sustainable growth. This study contributes to the literature by extending the scope of engineering management to include economic issues. It offers a new framework for the integration of macroeconomic modeling with policy decision making.
{"title":"Modeling the Effects of Labor Reallocation and Strategies for Engineering Management: A Sustainable Development Perspective","authors":"Shangfeng Zhang;Mengyue Zhu;José Fernando Gallego-Nicholls;Zitian Su;Congcong Chen","doi":"10.1109/TEM.2025.3529522","DOIUrl":"https://doi.org/10.1109/TEM.2025.3529522","url":null,"abstract":"Modeling the shift from high-growth to high-quality development in China is a challenge in macroeconomic engineering management. Using a finite mixture model, this study examines the effects of labor reallocation under different growth patterns and explores how regionally differentiated growth characteristics reflect shifts in growth patterns. It examines differences in economic development between regions, focusing on the role of labor reallocation in these regional differences. Growth patterns between provinces were observed to be inconsistent. Growth in the three major industries was categorized into three different types. Structural adjustments in regional growth were observed. Growth patterns in most regions changed in the primary and tertiary industries. In approximately one third of regions, changes occurred in the secondary industry. China's economy has shifted from factor-driven growth to efficiency-driven growth. The cost disease effect under shifting growth patterns is greater than under general growth patterns. Ignoring heterogeneity and variations in growth patterns across the four major economic regions leads to an underestimation of the cost disease effect by 5% to 40%. The findings of this research provide a theoretical basis for sustainable development. The present study broadens the scope of application of engineering management. Regional government decision makers should adapt policies to each region's unique economic structure and stage of development. In this way, labor reallocation can lead to higher productivity and sustainable growth. This study contributes to the literature by extending the scope of engineering management to include economic issues. It offers a new framework for the integration of macroeconomic modeling with policy decision making.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"460-470"},"PeriodicalIF":4.6,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105740","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}
Pub Date : 2025-01-13DOI: 10.1109/TEM.2025.3527690
Christopher S. Tang
The ongoing global food crisis is exacerbated by rising food demand and dwindling natural resources. Combating this crisis requires interventions beyond government subsidies to sustain the agricultural sector. In this article, we discuss various agricultural technologies leveraging AI, drones, blockchain, mobile apps, and solar technology that can help smallholder farmers in developing countries gain access to financial resources, information, and knowledge about crop management, market selection, and fair selling processes. Although these technologies hold great promise, encouraging farmers to invest in and adopt them remains to be a major challenge. This challenge, in turn, creates future research opportunities for operations management researchers to explore.
{"title":"Combating the Global Food Crisis with Agricultural Technologies: Potential Research Opportunities","authors":"Christopher S. Tang","doi":"10.1109/TEM.2025.3527690","DOIUrl":"https://doi.org/10.1109/TEM.2025.3527690","url":null,"abstract":"The ongoing global food crisis is exacerbated by rising food demand and dwindling natural resources. Combating this crisis requires interventions beyond government subsidies to sustain the agricultural sector. In this article, we discuss various agricultural technologies leveraging AI, drones, blockchain, mobile apps, and solar technology that can help smallholder farmers in developing countries gain access to financial resources, information, and knowledge about crop management, market selection, and fair selling processes. Although these technologies hold great promise, encouraging farmers to invest in and adopt them remains to be a major challenge. This challenge, in turn, creates future research opportunities for operations management researchers to explore.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"401-408"},"PeriodicalIF":4.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105741","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}
Pub Date : 2025-01-10DOI: 10.1109/TEM.2024.3521655
Abtin Ijadi Maghsoodi;Mehdi Rajabi Asadabadi
To cope with the advancements in blockchain technologies, novel platforms are rapidly evolving. This creates new business and financial opportunities for supply chain networks. Despite the extensive literature on blockchain technologies, few studies have focused on selecting the most suitable platforms for supply chain networks. Furthermore, such decisions may be influenced by the occurrence of future events causing system dynamics. The literature also fails to integrate uncertainty related to such system dynamics into this decision-making process. To address this gap, this article develops a novel and hybrid decision support system using the concept of stratification and multipreference group decision-making. To analyze blockchain technology platforms for a supply chain network, further enhancements are made to the developed model by utilizing the principles of complex system behavior, target-based normalization, Markov chains, and best–worst method. This article is the first to examine how such methods can work together to integrate dynamics of a complex system into the decision-making process. Moreover, the article analyses a supply chain network blockchain platform technology with complex systems transitions. To validate the reliability of the method, a real-world problem is addressed, which is a blockchain platform technology selection problem in one of largest multinational and professional services networks in New Zealand. The article exposes the efficiency of the proposed approach to address such complex problems.
{"title":"A Stratified Markovian Multipreference Decision Support System to Assess Supply Chain Blockchain Platforms","authors":"Abtin Ijadi Maghsoodi;Mehdi Rajabi Asadabadi","doi":"10.1109/TEM.2024.3521655","DOIUrl":"https://doi.org/10.1109/TEM.2024.3521655","url":null,"abstract":"To cope with the advancements in blockchain technologies, novel platforms are rapidly evolving. This creates new business and financial opportunities for supply chain networks. Despite the extensive literature on blockchain technologies, few studies have focused on selecting the most suitable platforms for supply chain networks. Furthermore, such decisions may be influenced by the occurrence of future events causing system dynamics. The literature also fails to integrate uncertainty related to such system dynamics into this decision-making process. To address this gap, this article develops a novel and hybrid decision support system using the concept of stratification and multipreference group decision-making. To analyze blockchain technology platforms for a supply chain network, further enhancements are made to the developed model by utilizing the principles of complex system behavior, target-based normalization, Markov chains, and best–worst method. This article is the first to examine how such methods can work together to integrate dynamics of a complex system into the decision-making process. Moreover, the article analyses a supply chain network blockchain platform technology with complex systems transitions. To validate the reliability of the method, a real-world problem is addressed, which is a blockchain platform technology selection problem in one of largest multinational and professional services networks in New Zealand. The article exposes the efficiency of the proposed approach to address such complex problems.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"491-511"},"PeriodicalIF":4.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143361067","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}
Pub Date : 2025-01-10DOI: 10.1109/TEM.2025.3528066
Hongwei Wang;Xuemei Xie;José María Martín Martín;Klaus Ulrich
Faced with sustainable development challenges and a new symbiotic phase in technological innovation, the green collaborative innovation model has emerged as a crucial approach to address environmental issues. Despite widespread consensus on the role of green collaborative innovation, existing research has yet to systematically examine its antecedent and contingent mechanisms. Therefore, this study aims to uncover the drivers of green collaborative innovation from a technological niche perspective and explore why some enterprises exhibit greater advantages and tendencies in engaging in such initiatives compared to others. The results indicate that both technological niche overlap and breadth have a positive effect on green collaborative innovation, and that these two relationships vary depending on different contingent factors. Specifically, digital transformation negatively moderates the relationship between technological niche overlap and green collaborative innovation, while positively moderates the relationship between technological niche breadth and green collaborative innovation. Female executives negatively moderate the relationship between technological niche overlap and green collaborative innovation, but only in high-polluting industries, while positively moderate the relationship between technological niche breadth and green collaborative innovation. Overall, this study contributes to the existing research on sustainable development by analyzing the influence mechanism of green collaborative innovation through the integration of niche theory, upper echelons theory, and dynamic capability theory.
{"title":"How Does Technological Niche Affect Green Collaborative Innovation? The Contingent Role of Digital Transformation and Female Executives","authors":"Hongwei Wang;Xuemei Xie;José María Martín Martín;Klaus Ulrich","doi":"10.1109/TEM.2025.3528066","DOIUrl":"https://doi.org/10.1109/TEM.2025.3528066","url":null,"abstract":"Faced with sustainable development challenges and a new symbiotic phase in technological innovation, the green collaborative innovation model has emerged as a crucial approach to address environmental issues. Despite widespread consensus on the role of green collaborative innovation, existing research has yet to systematically examine its antecedent and contingent mechanisms. Therefore, this study aims to uncover the drivers of green collaborative innovation from a technological niche perspective and explore why some enterprises exhibit greater advantages and tendencies in engaging in such initiatives compared to others. The results indicate that both technological niche overlap and breadth have a positive effect on green collaborative innovation, and that these two relationships vary depending on different contingent factors. Specifically, digital transformation negatively moderates the relationship between technological niche overlap and green collaborative innovation, while positively moderates the relationship between technological niche breadth and green collaborative innovation. Female executives negatively moderate the relationship between technological niche overlap and green collaborative innovation, but only in high-polluting industries, while positively moderate the relationship between technological niche breadth and green collaborative innovation. Overall, this study contributes to the existing research on sustainable development by analyzing the influence mechanism of green collaborative innovation through the integration of niche theory, upper echelons theory, and dynamic capability theory.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"446-459"},"PeriodicalIF":4.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105742","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}
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