{"title":"Interfirm Collaboration Enhancing Twin Transition: Evidence From the Italian Fashion Industry","authors":"Alessia Zoppelletto;Erica Santini;Cecilia Rossignoli;Francesca Ricciardi","doi":"10.1109/TEM.2025.3528260","DOIUrl":"https://doi.org/10.1109/TEM.2025.3528260","url":null,"abstract":"This study enters the debate on the interplay between digital technologies and the pursuit of sustainable development goals in organizations. The article investigates whether external pressures at the supply chain level push companies toward a digital and green (twin) transition, and how this effect differs according to company size and their collaborative relationships. Using a sample of fashion industry firms located in northeastern Italy, we propose and test a conceptual model by applying a moderated mediation analysis. Our proposed model suggests that collaborative partnerships between firms are essential in leveraging digital technologies for a green transition, emphasizing the importance of coordinating technological adoption across the value chain. Results confirm that adopting collaborative partnerships boosts companies’ willingness and ability to leverage digital technologies toward the green transition. Moreover, we found that the positive relationship between external pressures for technology adoption and firms’ collaborative behavior is moderated by firm dimension. On one hand, when external pressures for digital transformation increase, smaller firms tend to collaborate more frequently than larger ones. On the other hand, regardless of size, all firms demonstrate increased collaboration when facing the highest pressure levels. This study offers novel insights into the importance of interorganizational collaborations at the supply chain level in companies’ twin transitions.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"546-557"},"PeriodicalIF":4.6,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621684","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}
Shangfeng Zhang;Mengyue Zhu;José Fernando Gallego-Nicholls;Zitian Su;Congcong Chen
{"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}
{"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}
{"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}
Hongwei Wang;Xuemei Xie;José María Martín Martín;Klaus Ulrich
{"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}
Prerna Malakar;Sharfuddin Ahmed Khan;Angappa Gunasekaran;Muhammad Shujaat Mubarik
{"title":"Digital Technologies for Social Supply Chain Sustainability: An Empirical Analysis Through the Lens of Dynamic Capabilities and Complexity Theory","authors":"Prerna Malakar;Sharfuddin Ahmed Khan;Angappa Gunasekaran;Muhammad Shujaat Mubarik","doi":"10.1109/TEM.2024.3524896","DOIUrl":"https://doi.org/10.1109/TEM.2024.3524896","url":null,"abstract":"Digital technologies (DTs) have fundamentally transformed business landscapes, particularly supply chain (SC) management. This study aims to explore the role of Industry 4.0 DTs in advancing social sustainability in SCs, focusing on transparency, visibility, and traceability as key mediators. The study draws its theoretical foundation from dynamic capabilities theory and complexity theory, providing a dual perspective on the role of DTs in SC sustainability. The study employs survey data collected from 250 experts from the manufacturing sector in Pakistan to evaluate these relationships. The study utilizes partial least squares-structural equation modeling for hypothesis testing. Key findings indicate that Industry 4.0 technologies positively impact social SC sustainability, both directly and indirectly, through enhanced traceability, transparency, and visibility. Notably, traceability emerged as the strongest mediator, highlighting the critical role of tracking in ensuring ethical labor practices and preventing social issues such as modern slavery and unsafe working conditions. The research further suggests that adopting Industry 4.0 technologies can drive improvements in labor standards, environmental practices, and overall SC responsibility. The study contributes to the growing body of literature by demonstrating how Industry 4.0 technologies can serve as strategic tools for addressing social issues within SCs, thereby promoting compliance with global ethical standards and enhancing sustainability.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"664-675"},"PeriodicalIF":4.6,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667412","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}
Ke-Chiun Chang;Shuyu Zhang;Yiman Zhang;Yen-Chun Lai
{"title":"How Do Network Embeddedness and Node Attributes Identify Key Inventors? A Dynamic fsQCA Analysis","authors":"Ke-Chiun Chang;Shuyu Zhang;Yiman Zhang;Yen-Chun Lai","doi":"10.1109/TEM.2025.3527539","DOIUrl":"https://doi.org/10.1109/TEM.2025.3527539","url":null,"abstract":"Network embeddedness and node attributes are widely regarded as important dimensions for the formation of key inventors, but few studies have clarified the mechanism of identifying key inventors from a dynamic perspective. Based on a sample of nano-energy and dynamic fuzzy-set qualitative comparative analysis, results show that multiple causal configurations equally explain the conditions for identifying key inventors, in which novelty of knowledge combination is always the core condition in the four time periods, but tie strength is never present. In terms of interconditional relationship patterns, novelty of knowledge combination and knowledge depth remain relatively stable across all time periods, with knowledge depth and knowledge scope mutually reinforcing each other within the same period. The association between structural holes and conditions within node attributes has been progressively diminishing since the high efficiency R&D period. Theoretically, this study provides a dynamic research framework for identifying key inventors, but also challenges the paradoxical view of network embeddedness and the opposing view of knowledge recombination. Practical insights for managers and policymakers to identify and cultivate key inventors are provided by offering conditions and configurations evolution trajectory.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"619-633"},"PeriodicalIF":4.6,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667622","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":"Understanding the Role of Innovation Actors’ Social Network in the Digital Age: A Literature Review and Avenues for Future Research","authors":"Katharina Drechsler;Victoria Reibenspiess;Andreas Eckhardt;Heinz-Theo Wagner","doi":"10.1109/TEM.2025.3526703","DOIUrl":"https://doi.org/10.1109/TEM.2025.3526703","url":null,"abstract":"Digital technologies have radically altered the nature of innovation and its development process. Innovations in the digital age are characterized by a reliance on a network of diverse actors who champion innovation. Despite the important role of these innovation actors’ social networks in enabling interactions and collaboration for developing innovation, extant research lacks a synthesis of knowledge on innovation actors’ social networks in the digital age. We provide a multidisciplinary literature review on the social network of actors championing innovation and its interplay with digital technology based on a theoretical framework derived from social network research. Our analysis gives insights into the flows and structure of innovation actors’ social networks. We find that digital technology has predominantly led to gradual changes in innovation actors’ activities by functioning as a catalyst. Concerning the characteristics of innovation actors’ networks, we find more fundamental changes in the agency of digital innovation as innovation actors form communities and perform activities collectively. Building on the literature on digital technology and digital innovation, we identify promising avenues for future research. Overall, our literature review contributes by proposing a new conceptual model of innovation actors’ social networks in the digital age and providing an agenda for future research.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"409-425"},"PeriodicalIF":4.6,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10830003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105809","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":"Optimizing Blockchain-Enabled Sustainable Supply Chains","authors":"Jingwen Wu;Yuting Yan;Shuaian Wang;Lu Zhen","doi":"10.1109/TEM.2024.3525105","DOIUrl":"https://doi.org/10.1109/TEM.2024.3525105","url":null,"abstract":"The increasing pressure on global supply chains to reduce carbon emissions has driven the need for sustainable supply chain network design (SSCND). This article proposes an innovative framework for SSCND that optimizes facility location and scale decisions under uncertainty using blockchain technology. By incorporating cap-and-trade regulations and carbon trading into a mixed-integer linear programming model, the article addresses both the economic and environmental objectives of supply chains. A two-stage stochastic programming approach is employed to optimize the SSCND. The first stage focuses on facility location decisions and the second stage on production adjustment, transportation, and carbon trading under demand uncertainty. The carbon trading decisions are integrated into the model by assigning a monetary value to carbon dioxide emissions and allowing for dynamic adjustments to real-time environmental impacts. A primal decomposition algorithm is introduced to address the computational challenges involved in solving the two-stage stochastic programming model. Numerical experiments based on data derived from SAIC Motor Corporation's supply chain demonstrate the effectiveness of the model and algorithm. This article provides an efficient approach for integrating environmental sustainability into supply chain management, offering valuable insights for industries aiming to achieve carbon neutrality","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"426-445"},"PeriodicalIF":4.6,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105810","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":"Editorial: IEEE Transactions on Engineering Management 2025","authors":"Tsan-Ming Choi","doi":"10.1109/TEM.2024.3502372","DOIUrl":"https://doi.org/10.1109/TEM.2024.3502372","url":null,"abstract":"It is my big honor to be appointed as the new Editor-in-Chief of \u0000<sc>IEEE Transactions on Engineering Management</small>\u0000 (IEEE-TEM). In this editorial article, some updates of the journal are presented. We also share some editorial policies of the journal as well as publication requirements for full-length original research papers. Finally, some simple tips are provided to help authors better prepare their papers for publication in IEEE-TEM.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"1-3"},"PeriodicalIF":4.6,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10829390","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937855","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}