Pub Date : 2025-12-09DOI: 10.1109/TEM.2025.3640147
Shun Li;Li Li;Kun Zhang
Video platforms have increasingly been observed forming partnerships with other service providers (e.g., digital music service provider) through the launch of membership bundles. This article analytically investigates such strategic choices of competing video platforms regarding two paid membership strategies, i.e., standard plans and membership bundles. In the basic model, the chosen service provider is assumed to exhibit similar horizontal attributes as the video platform. Therefore, compared to standard plans, membership bundles reinforce the intensity of mismatches, even though they bring incremental benefits. Our study unveils the following intriguing findings. First, when the incremental value consumers receive from membership bundles is sufficiently small (large), both platforms prefer to adopt standard plans (membership bundles). Second, in the scenario where the incremental value is moderate, both platforms can be better off by adopting asymmetric membership strategies if network effects are strong. Furthermore, we demonstrate that the provision of membership bundles will intensify platform competition. This result implies that the provision of membership bundles may hurt platforms' profitability when network effects are very weak and the incremental value is not very large. However, given that membership bundles can increase social welfare, policymakers may encourage their applications. In the model extensions, the robustness of our results is tested. We allow for alternative preference correlations across bundled services, endogenize the revenue-sharing rate via the incremental value created by bundling, and introduce asymmetric intensities of network effects for different plans.
{"title":"Standard Plans or Membership Bundles? Competitive Paid Membership Strategies for Video Platforms","authors":"Shun Li;Li Li;Kun Zhang","doi":"10.1109/TEM.2025.3640147","DOIUrl":"https://doi.org/10.1109/TEM.2025.3640147","url":null,"abstract":"Video platforms have increasingly been observed forming partnerships with other service providers (e.g., digital music service provider) through the launch of membership bundles. This article analytically investigates such strategic choices of competing video platforms regarding two paid membership strategies, i.e., standard plans and membership bundles. In the basic model, the chosen service provider is assumed to exhibit similar horizontal attributes as the video platform. Therefore, compared to standard plans, membership bundles reinforce the intensity of mismatches, even though they bring incremental benefits. Our study unveils the following intriguing findings. First, when the incremental value consumers receive from membership bundles is sufficiently small (large), both platforms prefer to adopt standard plans (membership bundles). Second, in the scenario where the incremental value is moderate, both platforms can be better off by adopting asymmetric membership strategies if network effects are strong. Furthermore, we demonstrate that the provision of membership bundles will intensify platform competition. This result implies that the provision of membership bundles may hurt platforms' profitability when network effects are very weak and the incremental value is not very large. However, given that membership bundles can increase social welfare, policymakers may encourage their applications. In the model extensions, the robustness of our results is tested. We allow for alternative preference correlations across bundled services, endogenize the revenue-sharing rate via the incremental value created by bundling, and introduce asymmetric intensities of network effects for different plans.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"599-611"},"PeriodicalIF":5.2,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830822","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 : 2025-12-08DOI: 10.1109/TEM.2025.3641649
Judy Y. H. Huang;Erica Z. Y. Liu;Eric T. G. Wang;James J. Jiang
Information technology (IT)-enabled transformation (ITT) programs are increasingly vulnerable to creeping disruptions. Previous studies have proposed a range of project team resilience activities to address types of disruption, suggesting that different team resilience capacities require different resources. Drawing on the capacity view of team resilience, this study adopts a mixed-methods research approach. The qualitative phase reveals that 1) goal volatility is the most common creeping disruption, while anticipating change, planning adjustment, and adapting to new practices are the three components of ITT program team resilience; and 2) change potency, program psychological safety, business understanding, and IT improvisation are key resources in fostering ITT program resilience capacity. A quantitative survey of 177 ITT programs was used to externally validate and extend the qualitative findings. Results confirmed that ITT program team resilience significantly enhances program performance, particularly under conditions of high program goal volatility, and four identified resources are positively associated with ITT program resilience capacity. This study extends the literature on IT project management by distinguishing program team resilience in the ITT program context from project team resilience.
{"title":"Thriving Amid Creeping Disruption: A Study of IT-Enabled Transformation Program Team Resilience","authors":"Judy Y. H. Huang;Erica Z. Y. Liu;Eric T. G. Wang;James J. Jiang","doi":"10.1109/TEM.2025.3641649","DOIUrl":"https://doi.org/10.1109/TEM.2025.3641649","url":null,"abstract":"Information technology (IT)-enabled transformation (ITT) programs are increasingly vulnerable to creeping disruptions. Previous studies have proposed a range of project team resilience activities to address types of disruption, suggesting that different team resilience capacities require different resources. Drawing on the capacity view of team resilience, this study adopts a mixed-methods research approach. The qualitative phase reveals that 1) goal volatility is the most common creeping disruption, while anticipating change, planning adjustment, and adapting to new practices are the three components of ITT program team resilience; and 2) change potency, program psychological safety, business understanding, and IT improvisation are key resources in fostering ITT program resilience capacity. A quantitative survey of 177 ITT programs was used to externally validate and extend the qualitative findings. Results confirmed that ITT program team resilience significantly enhances program performance, particularly under conditions of high program goal volatility, and four identified resources are positively associated with ITT program resilience capacity. This study extends the literature on IT project management by distinguishing program team resilience in the ITT program context from project team resilience.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"766-782"},"PeriodicalIF":5.2,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145885033","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 : 2025-12-08DOI: 10.1109/TEM.2025.3641381
Shan Jiang;Florence Yean Yng Ling;Jianyao Jia
Drawing on the conservation of resources theory and the cognitive–affective processing system framework, in this article, we investigate how relational governance boosts project team resilience through a dual–path mediation mechanism. Employing hierarchical multiple regression and fuzzy-set qualitative comparative analysis, empirical results reveal that team reflexivity and team affective identification fully mediate the relationship between relational governance and project team resilience, with a significant serial mediation effect flowing sequentially from team reflexivity to team affective identification. Furthermore, project complexity emerges as a boundary condition, enhancing the mediating role of team reflexivity while exerting no significant moderating effect on the affective identification pathway. A series of additional robustness checks was conducted for each method within the mixed-methods design, further reinforcing the overall rigor and reliability of the results. These findings advance the theoretical understanding of how resilience develops, unfolds, and is shaped in project teams, affording novel insights to the body of knowledge in engineering project management. In terms of practical application, this study highlights the need for project managers to prioritize relational governance strategies to foster project team resilience through cultivating reflective practices and shared affective bonds while calibrating these strategies according to the contextual complexities of project-based engineering environments.
{"title":"Unlocking Project Team Resilience: Relational Governance as Antecedent Through Reflexivity and Affective Identification","authors":"Shan Jiang;Florence Yean Yng Ling;Jianyao Jia","doi":"10.1109/TEM.2025.3641381","DOIUrl":"https://doi.org/10.1109/TEM.2025.3641381","url":null,"abstract":"Drawing on the conservation of resources theory and the cognitive–affective processing system framework, in this article, we investigate how relational governance boosts project team resilience through a dual–path mediation mechanism. Employing hierarchical multiple regression and fuzzy-set qualitative comparative analysis, empirical results reveal that team reflexivity and team affective identification fully mediate the relationship between relational governance and project team resilience, with a significant serial mediation effect flowing sequentially from team reflexivity to team affective identification. Furthermore, project complexity emerges as a boundary condition, enhancing the mediating role of team reflexivity while exerting no significant moderating effect on the affective identification pathway. A series of additional robustness checks was conducted for each method within the mixed-methods design, further reinforcing the overall rigor and reliability of the results. These findings advance the theoretical understanding of how resilience develops, unfolds, and is shaped in project teams, affording novel insights to the body of knowledge in engineering project management. In terms of practical application, this study highlights the need for project managers to prioritize relational governance strategies to foster project team resilience through cultivating reflective practices and shared affective bonds while calibrating these strategies according to the contextual complexities of project-based engineering environments.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"640-653"},"PeriodicalIF":5.2,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830847","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 : 2025-12-05DOI: 10.1109/TEM.2025.3640875
Omaymah Almashaleh;Omid Fatahi Valilai
Green digital marketing is critical for advancing sustainability in the textile sector. As brands aim to reduce their environmental impact and engage ethically conscious consumers, identifying effective social-media formats is essential. This study proposes a causal inference framework that integrates double machine learning (DML), a method for estimating treatment effects in high dimensional observational data, with the DoWhy platform for treatment effect estimation and refutation testing. The framework controls for sentiment polarity, posting time, weekday/weekend status, and sustainability keywords, ensuring robust average treatment effect estimates. Empirical analysis reveals that Instagram Reels produce the strongest positive impact on engagement, measured as the combined number of likes and comments for each post. In contrast, Videos and Carousel Albums reduce interaction. Among all estimation methods tested, the DML model produced comparatively precise and stable estimates, yielding narrower confidence intervals (CIs) and stronger refutation performance than the baseline approaches. The study provides strong causal evidence; practical generalization should consider platform dynamics and potential unobserved influences. Across 20 768 posts in 2024, DML yields tighter CIs and smaller placebo errors than OLS/PSM/PSS/NDIM. Robustness is demonstrated via bootstrap CIs, and placebo effects are examined through permuted treatments, random and hidden commoncause refuters, and subset analyzes. Effects generalize within the window and context, and temporal or platform limits were noted.
{"title":"Causal Drivers of Sustainable Social Media Engagement in the Textile Industry: A Double Machine Learning Approach","authors":"Omaymah Almashaleh;Omid Fatahi Valilai","doi":"10.1109/TEM.2025.3640875","DOIUrl":"https://doi.org/10.1109/TEM.2025.3640875","url":null,"abstract":"Green digital marketing is critical for advancing sustainability in the textile sector. As brands aim to reduce their environmental impact and engage ethically conscious consumers, identifying effective social-media formats is essential. This study proposes a causal inference framework that integrates double machine learning (DML), a method for estimating treatment effects in high dimensional observational data, with the <monospace>DoWhy</monospace> platform for treatment effect estimation and refutation testing. The framework controls for sentiment polarity, posting time, weekday/weekend status, and sustainability keywords, ensuring robust average treatment effect estimates. Empirical analysis reveals that Instagram Reels produce the strongest positive impact on engagement, measured as the combined number of likes and comments for each post. In contrast, Videos and Carousel Albums reduce interaction. Among all estimation methods tested, the DML model produced comparatively precise and stable estimates, yielding narrower confidence intervals (CIs) and stronger refutation performance than the baseline approaches. The study provides strong causal evidence; practical generalization should consider platform dynamics and potential unobserved influences. Across 20 768 posts in 2024, DML yields tighter CIs and smaller placebo errors than OLS/PSM/PSS/NDIM. Robustness is demonstrated via bootstrap CIs, and placebo effects are examined through permuted treatments, random and hidden commoncause refuters, and subset analyzes. Effects generalize within the window and context, and temporal or platform limits were noted.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"495-509"},"PeriodicalIF":5.2,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11278785","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830858","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 : 2025-12-05DOI: 10.1109/TEM.2025.3640643
Minhao Gu;Peizhi Zhang;Rui Chang;WaiFong Boh;Baofeng Huo
Trade credit is a financing tool used in supply chain management. Blockchain can improve transparency among transaction parties and reduce transaction costs through consensus mechanisms and automation, offering a more efficient solution for managing trade credit. This study investigates how and to what extent blockchain affects trade credit. The empirical analysis is based on data from firms listed on the Shanghai and Shenzhen stock exchanges (A-share market) during the period 2015–2022. The results show that blockchain implementation reduces received trade credit from suppliers, whereas it increases provided trade credit to customers. A series of robustness procedures—including alternative variable constructions, lagged specifications, alternative identification strategies, and placebo-based Monte Carlo simulations—confirm the validity and stability of the empirical findings. This study further investigates the mechanisms of how blockchain implementation affects trade credit. The results show that blockchain implementation further reduces received trade credit from more centralized suppliers. In addition, the results also indicate that more trade credit will be provided to customers with a higher level of demand uncertainty. This study offers a comprehensive view of how firms utilize blockchain to improve trade credit efficiency. Managerial implications based on the research findings are also provided.
{"title":"The Impact of Blockchain Implementation on Received and Provided Trade Credit","authors":"Minhao Gu;Peizhi Zhang;Rui Chang;WaiFong Boh;Baofeng Huo","doi":"10.1109/TEM.2025.3640643","DOIUrl":"https://doi.org/10.1109/TEM.2025.3640643","url":null,"abstract":"Trade credit is a financing tool used in supply chain management. Blockchain can improve transparency among transaction parties and reduce transaction costs through consensus mechanisms and automation, offering a more efficient solution for managing trade credit. This study investigates how and to what extent blockchain affects trade credit. The empirical analysis is based on data from firms listed on the Shanghai and Shenzhen stock exchanges (A-share market) during the period 2015–2022. The results show that blockchain implementation reduces received trade credit from suppliers, whereas it increases provided trade credit to customers. A series of robustness procedures—including alternative variable constructions, lagged specifications, alternative identification strategies, and placebo-based Monte Carlo simulations—confirm the validity and stability of the empirical findings. This study further investigates the mechanisms of how blockchain implementation affects trade credit. The results show that blockchain implementation further reduces received trade credit from more centralized suppliers. In addition, the results also indicate that more trade credit will be provided to customers with a higher level of demand uncertainty. This study offers a comprehensive view of how firms utilize blockchain to improve trade credit efficiency. Managerial implications based on the research findings are also provided.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"467-480"},"PeriodicalIF":5.2,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830766","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 : 2025-12-05DOI: 10.1109/TEM.2025.3640397
Jacques Bughin
This study examines how dynamic capabilities interact with imperfect competition to shape the performance outcomes of corporate digital transformation. Building on an oligopoly model that integrates automation and digital innovation choices, we show analytically that market power and dynamic capabilities act as strategic complements, jointly amplifying the returns on digital investments. Using a global sample of 545 incumbent firms across seven industries, we find strong empirical support for this prediction: transformational capabilities and asymmetric market positions significantly increase the return on digital technologies, especially for early adopters and firms with an innovation-biased strategy. The study demonstrates research rigor by combining a micro-founded structural model with extensive econometric validation, including instrumental-variable estimation, multiple robustness checks, and industry- and geography-adjusted controls. Our results offer new insight into why digital returns are highly skewed across firms and explain why many incumbents experience limited performance gains despite large investments in digital technologies.
{"title":"The Interaction of Market Power and Dynamic Capabilities in Shaping Digital Transformations Success","authors":"Jacques Bughin","doi":"10.1109/TEM.2025.3640397","DOIUrl":"https://doi.org/10.1109/TEM.2025.3640397","url":null,"abstract":"This study examines how dynamic capabilities interact with imperfect competition to shape the performance outcomes of corporate digital transformation. Building on an oligopoly model that integrates automation and digital innovation choices, we show analytically that market power and dynamic capabilities act as strategic complements, jointly amplifying the returns on digital investments. Using a global sample of 545 incumbent firms across seven industries, we find strong empirical support for this prediction: transformational capabilities and asymmetric market positions significantly increase the return on digital technologies, especially for early adopters and firms with an innovation-biased strategy. The study demonstrates research rigor by combining a micro-founded structural model with extensive econometric validation, including instrumental-variable estimation, multiple robustness checks, and industry- and geography-adjusted controls. Our results offer new insight into why digital returns are highly skewed across firms and explain why many incumbents experience limited performance gains despite large investments in digital technologies.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"612-625"},"PeriodicalIF":5.2,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830908","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}
Identifying product obsolescence factors is essential for guiding sustainable design and extending product longevity. Unlike prior studies, this research leverages online consumer reviews to explore product obsolescence factors. First, ChatGPT-4o, an advanced pretrained large language model, is utilized to identify these factors. User-generated content (UGC) time series-based product obsolescence indexes are then defined to quantify each factor's impact, offering a UGC-based complement to earlier methods that depended on expert judgment, supplier input, or survey data. By leveraging real-time customer insights, this approach aligns with Industry 4.0 principles, offering a UGC-based method that can support engineering managers to proactively address product obsolescence. It integrates factors' relative importance, determined through frequency–analytic hierarchy process (Freq-AHP), with their severity impact on consumers, assessed using the robustly optimized bidirectional encoder representations from transformers approach. This is further supported by a robustness check, where small perturbations were applied to sentiment intensities and all indices recalculated, confirming the aggregated obsolescence index remained stable across all product categories. This study focuses on consumer Internet of Things (IoT) devices, an area underexplored in existing literature, analyzing 47 695 online consumer reviews across nine product categories and selecting 4771 online obsolescence-related reviews for detailed analysis. Findings reveal 19 key factors and demonstrate a fundamental shift in obsolescence, indicating that product obsolescence of consumer IoT devices is increasingly driven by adaptability, interoperability, and digital resilience rather than physical durability. These insights demonstrate the potential of the proposed approach to inform product obsolescence mitigation strategies and guide more resilient, user-centered design in IoT ecosystems.
{"title":"A Consumer-Centric Framework for Measuring Product Obsolescence Using User-Generated Content and Large Language Models: Evidence From IoT Devices","authors":"Mohamadreza Azar Nasrabadi;Yvan Beauregard;Amir Ekhlassi","doi":"10.1109/TEM.2025.3640012","DOIUrl":"https://doi.org/10.1109/TEM.2025.3640012","url":null,"abstract":"Identifying product obsolescence factors is essential for guiding sustainable design and extending product longevity. Unlike prior studies, this research leverages online consumer reviews to explore product obsolescence factors. First, ChatGPT-4o, an advanced pretrained large language model, is utilized to identify these factors. User-generated content (UGC) time series-based product obsolescence indexes are then defined to quantify each factor's impact, offering a UGC-based complement to earlier methods that depended on expert judgment, supplier input, or survey data. By leveraging real-time customer insights, this approach aligns with Industry 4.0 principles, offering a UGC-based method that can support engineering managers to proactively address product obsolescence. It integrates factors' relative importance, determined through frequency–analytic hierarchy process (Freq-AHP), with their severity impact on consumers, assessed using the robustly optimized bidirectional encoder representations from transformers approach. This is further supported by a robustness check, where small perturbations were applied to sentiment intensities and all indices recalculated, confirming the aggregated obsolescence index remained stable across all product categories. This study focuses on consumer Internet of Things (IoT) devices, an area underexplored in existing literature, analyzing 47 695 online consumer reviews across nine product categories and selecting 4771 online obsolescence-related reviews for detailed analysis. Findings reveal 19 key factors and demonstrate a fundamental shift in obsolescence, indicating that product obsolescence of consumer IoT devices is increasingly driven by adaptability, interoperability, and digital resilience rather than physical durability. These insights demonstrate the potential of the proposed approach to inform product obsolescence mitigation strategies and guide more resilient, user-centered design in IoT ecosystems.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"448-466"},"PeriodicalIF":5.2,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11278478","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830937","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 : 2025-12-04DOI: 10.1109/TEM.2025.3632967
Thomas Clauss;Chanchai Tangpong;Matheus Franco;Ricarda B. Bouncken
Achieving joint product innovation in buyer–supplier relationships (BSRs) is a critical yet challenging endeavor that requires effective governance. While research has focused on how governance serves as a behavioral mechanism to align incentives and foster knowledge sharing, it has largely overlooked how governance can facilitate the more efficient path of knowledge integration while minimizing costly learning. Using survey data from 348 supplier firms in the sheet metal industry, we find that buyer directives have a positive effect on joint product innovation. We also find that the interaction between buyer directives and relational governance operates indirectly, enhancing joint product innovation by first fostering joint process innovation. This study contributes to BSR governance research in three ways. First, it reframes buyer directives as boundary objects that facilitate knowledge integration rather than as simple behavioral controls. Second, it specifies the role of relational governance in creating the collaborative context necessary for the enactment of these directives. Finally, it identifies joint process innovation as a concrete integrative mechanism linking operational collaboration to product innovation outcomes, challenging the view that they are separate phenomena.
{"title":"Enabling Joint Product Innovation in Buyer–Supplier Relationships: Roles of Buyer Directives, Relational Governance, and Joint Process Innovation","authors":"Thomas Clauss;Chanchai Tangpong;Matheus Franco;Ricarda B. Bouncken","doi":"10.1109/TEM.2025.3632967","DOIUrl":"https://doi.org/10.1109/TEM.2025.3632967","url":null,"abstract":"Achieving joint product innovation in buyer–supplier relationships (BSRs) is a critical yet challenging endeavor that requires effective governance. While research has focused on how governance serves as a behavioral mechanism to align incentives and foster knowledge sharing, it has largely overlooked how governance can facilitate the more efficient path of knowledge integration while minimizing costly learning. Using survey data from 348 supplier firms in the sheet metal industry, we find that buyer directives have a positive effect on joint product innovation. We also find that the interaction between buyer directives and relational governance operates indirectly, enhancing joint product innovation by first fostering joint process innovation. This study contributes to BSR governance research in three ways. First, it reframes buyer directives as boundary objects that facilitate knowledge integration rather than as simple behavioral controls. Second, it specifies the role of relational governance in creating the collaborative context necessary for the enactment of these directives. Finally, it identifies joint process innovation as a concrete integrative mechanism linking operational collaboration to product innovation outcomes, challenging the view that they are separate phenomena.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"558-571"},"PeriodicalIF":5.2,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830918","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 : 2025-12-03DOI: 10.1109/TEM.2025.3639939
Tsung-Sheng Chang;Hung-Yung Hsu
Rising cyber threats have prompted enterprises to prioritize information security and adopt cyber threat intelligence (CTI) platforms to safeguard against cyber threats and crimes and improve their information security. Using the resource-based view (RBV) and CTI capability frameworks, this study identifies and evaluates the critical factors that affect the successful implementation of CTI platforms. A hybrid methodological approach, integrating the fuzzy analytic hierarchy process (Fuzzy AHP) and a combined compromise solution (CoCoSo), was used to assess expert judgments. The findings indicate that practitioners consider Top managers’ support as the most critical factor, followed by an emphasis on institutional innovation. Regarding CTI capabilities, organizations prioritize employees’ abilities to resolve cyber threats, followed by their ability to analyze information security intelligence. This study extends the research scope of RBV and CTI capabilities and provides practical decision-making views. When practitioners understand their organizational resources and defects, along with the critical factors to consider when introducing CTI platforms, it will help them to smoothly improve the security of computers.
{"title":"Critical Resource Factors for Cyber Threat Intelligence Implementation in Enterprises","authors":"Tsung-Sheng Chang;Hung-Yung Hsu","doi":"10.1109/TEM.2025.3639939","DOIUrl":"https://doi.org/10.1109/TEM.2025.3639939","url":null,"abstract":"Rising cyber threats have prompted enterprises to prioritize information security and adopt cyber threat intelligence (CTI) platforms to safeguard against cyber threats and crimes and improve their information security. Using the resource-based view (RBV) and CTI capability frameworks, this study identifies and evaluates the critical factors that affect the successful implementation of CTI platforms. A hybrid methodological approach, integrating the fuzzy analytic hierarchy process (Fuzzy AHP) and a combined compromise solution (CoCoSo), was used to assess expert judgments. The findings indicate that practitioners consider Top managers’ support as the most critical factor, followed by an emphasis on institutional innovation. Regarding CTI capabilities, organizations prioritize employees’ abilities to resolve cyber threats, followed by their ability to analyze information security intelligence. This study extends the research scope of RBV and CTI capabilities and provides practical decision-making views. When practitioners understand their organizational resources and defects, along with the critical factors to consider when introducing CTI platforms, it will help them to smoothly improve the security of computers.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"432-447"},"PeriodicalIF":5.2,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830936","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 : 2025-12-02DOI: 10.1109/TEM.2025.3639355
Hailan Guo;Zhen Shen;Hu Chen;Ming Dong;Katherine Y. Dong
In this article, we aim to explore the complex interactions that surround supply chain risk complexity (SCRC) and its effects on both financial and environmental, social, and governance (ESG) performance in the chip industry. It seeks to demonstrate how SCRC, influenced by supply chain concentration, impacts firm performance metrics. Drawing on resource dependence theory and the resource-based view, this study constructs a panel of 364 Chinese-listed semiconductor firms for 2013–2022 and creates a novel SCRC index using natural language processing. Ordinary least squares, fixed effects, and an event-study specification centered on the 2018 export control shock confirm that the patterns persist after controlling for unobserved heterogeneity and time effects. The analysis reveals a complex relationship wherein increased supply chain concentration heightens SCRC, which in turn has a dual impact: enhancing financial performance while negatively affecting ESG outcomes. Furthermore, SCRC serves as a significant mediator between supply chain concentration and performance metrics, showcasing the important role of risk disclosure in strategic supply chain configurations. The findings provide semiconductor executives with a clear framework: minimize dependence on any single partner, institutionalize comprehensive risk-disclosure practices, implement predictive digital tools, and preserve ESG resources to achieve efficiencies driven by concentration without compromising sustainability credentials.
{"title":"The Impact of Supply Chain Risk Complexity and Concentration on Financial and ESG Performance in China's Semiconductor Industry","authors":"Hailan Guo;Zhen Shen;Hu Chen;Ming Dong;Katherine Y. Dong","doi":"10.1109/TEM.2025.3639355","DOIUrl":"https://doi.org/10.1109/TEM.2025.3639355","url":null,"abstract":"In this article, we aim to explore the complex interactions that surround supply chain risk complexity (SCRC) and its effects on both financial and environmental, social, and governance (ESG) performance in the chip industry. It seeks to demonstrate how SCRC, influenced by supply chain concentration, impacts firm performance metrics. Drawing on resource dependence theory and the resource-based view, this study constructs a panel of 364 Chinese-listed semiconductor firms for 2013–2022 and creates a novel SCRC index using natural language processing. Ordinary least squares, fixed effects, and an event-study specification centered on the 2018 export control shock confirm that the patterns persist after controlling for unobserved heterogeneity and time effects. The analysis reveals a complex relationship wherein increased supply chain concentration heightens SCRC, which in turn has a dual impact: enhancing financial performance while negatively affecting ESG outcomes. Furthermore, SCRC serves as a significant mediator between supply chain concentration and performance metrics, showcasing the important role of risk disclosure in strategic supply chain configurations. The findings provide semiconductor executives with a clear framework: minimize dependence on any single partner, institutionalize comprehensive risk-disclosure practices, implement predictive digital tools, and preserve ESG resources to achieve efficiencies driven by concentration without compromising sustainability credentials.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"390-401"},"PeriodicalIF":5.2,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830874","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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