Pub Date : 2025-12-31DOI: 10.1109/TEM.2025.3647053
Futou Li;Yongjian Li;Wei Wang
This article examines the interplay between the retailer’s strategic information sharing and the manufacturer’s quality decisions under two decision sequences: pre-quality and post-quality scenarios. We analyze the retailer’s ex-post information sharing policy (deciding how to share the acquired demand information) under both sequences, discuss the impact of decision sequences on the quality level, and explore the preferences of supply chain participants for pre- and post-quality scenarios. The key findings are as follows: In the post-quality scenario, if consumers have high quality sensitivity, the retailer tends to share high-demand information but conceal low-demand information; otherwise, the result is just the opposite. Conversely, in the pre-quality scenario, the retailer consistently shares low-demand information but conceals high-demand information. Notably, whether in the pre-quality or post-quality scenario, an intriguing phenomenon may emerge, that is, the retailer may experience a counterintuitive increase in profit as the expected information cost rises. The outcomes of quality levels in pre- and post-quality scenarios depend on the information status acquired by the retailer and the consumers’ quality sensitivity. Interestingly, the retailer consistently prefers the post-quality scenario, while the manufacturer may prefer the pre-quality scenario under certain conditions. Finally, our findings remain relatively robust when considering imperfect information acquisition or a general demand distribution.
{"title":"The Interplay Between Strategic Information Sharing and Quality Decision: Pre-quality Versus Post-quality","authors":"Futou Li;Yongjian Li;Wei Wang","doi":"10.1109/TEM.2025.3647053","DOIUrl":"https://doi.org/10.1109/TEM.2025.3647053","url":null,"abstract":"This article examines the interplay between the retailer’s strategic information sharing and the manufacturer’s quality decisions under two decision sequences: pre-quality and post-quality scenarios. We analyze the retailer’s ex-post information sharing policy (deciding how to share the acquired demand information) under both sequences, discuss the impact of decision sequences on the quality level, and explore the preferences of supply chain participants for pre- and post-quality scenarios. The key findings are as follows: In the post-quality scenario, if consumers have high quality sensitivity, the retailer tends to share high-demand information but conceal low-demand information; otherwise, the result is just the opposite. Conversely, in the pre-quality scenario, the retailer consistently shares low-demand information but conceals high-demand information. Notably, whether in the pre-quality or post-quality scenario, an intriguing phenomenon may emerge, that is, the retailer may experience a counterintuitive increase in profit as the expected information cost rises. The outcomes of quality levels in pre- and post-quality scenarios depend on the information status acquired by the retailer and the consumers’ quality sensitivity. Interestingly, the retailer consistently prefers the post-quality scenario, while the manufacturer may prefer the pre-quality scenario under certain conditions. Finally, our findings remain relatively robust when considering imperfect information acquisition or a general demand distribution.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"1485-1499"},"PeriodicalIF":5.2,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175838","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}
Environmental, social, and governance (ESG) influences corporate financial performance (CFP), though the effectiveness varies notably across industry sectors. Employing multiple linear regression and multiperiod differences-in-differences (DID), this article empirically examines the differential impacts by comparing European chemical and software industries. Our framework distinguishes between actual ESG performance metrics and voluntary ESG disclosure, and reveals distinct pathways through which sustainability practices and reporting affect CFP outcomes. We find that actual ESG performance impacts CFP more in the chemical industry than in software. Conversely, ESG disclosure, even when not reflecting true performance, provides immediate and sustained market value benefits to software companies. Despite earlier and more comprehensive non-financial reporting by chemical companies, no significant financial effects emerged in the immediate four years. Multiple robustness tests are employed to address the potential selection problem inherent in economic observational data, and the model results are interpreted with due caution. The empirical findings further advance the understanding of ESG–CFP mechanisms by revealing the complex balance between regulatory compliance, sustainability investments, and financial outcomes.
{"title":"The Impact of Environmental, Social, and Governance on Corporate Financial Performance: A Cross-Industry Perspective","authors":"Wei Liu;Nicholas Dacre;Hao Dong;Jiuh-Biing Sheu;Qin Zhou","doi":"10.1109/TEM.2025.3649696","DOIUrl":"https://doi.org/10.1109/TEM.2025.3649696","url":null,"abstract":"Environmental, social, and governance (ESG) influences corporate financial performance (CFP), though the effectiveness varies notably across industry sectors. Employing multiple linear regression and multiperiod differences-in-differences (DID), this article empirically examines the differential impacts by comparing European chemical and software industries. Our framework distinguishes between actual ESG performance metrics and voluntary ESG disclosure, and reveals distinct pathways through which sustainability practices and reporting affect CFP outcomes. We find that actual ESG performance impacts CFP more in the chemical industry than in software. Conversely, ESG disclosure, even when not reflecting true performance, provides immediate and sustained market value benefits to software companies. Despite earlier and more comprehensive non-financial reporting by chemical companies, no significant financial effects emerged in the immediate four years. Multiple robustness tests are employed to address the potential selection problem inherent in economic observational data, and the model results are interpreted with due caution. The empirical findings further advance the understanding of ESG–CFP mechanisms by revealing the complex balance between regulatory compliance, sustainability investments, and financial outcomes.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"1162-1175"},"PeriodicalIF":5.2,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982221","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 : 2025-12-30DOI: 10.1109/TEM.2025.3649531
Mirco Peron;Srinivas Talluri
Additive Manufacturing (AM) has been extensively studied for spare parts management. The literature concurs that producing AM spare parts close to the point of use (i.e., on-site) offers both economic and environmental advantages compared to off-site production, particularly when spare parts are produced through printing hubs, which is the current industrial practice. However, this might not always hold true: different countries have different energy costs and emit different amounts of CO2-eq to produce one kWh. Consequently, it may be preferable to produce spare parts in a country having low energy costs and/or depending less on fossil fuels, even if far from the point of use (i.e., off-site). Such decisions should also consider governmental carbon-reduction schemes (e.g., carbon taxes) whereby the more a firm emits, the more it pays. However, there is a lack of research encompassing all these aspects when deciding whether to produce AM spare parts on- or off-site. This work fills this gap, identifying if and when off-site production of AM spare parts is preferable from both economic and environmental perspectives. Contrary to claims in the literature, the results show that off-site production is sometimes preferable, particularly when its unitary energy cost is lower than that of on-site production. Interestingly, due to current low carbon tax values, the on-site/off-site production decision is driven only by economic considerations. Robustness checks confirmed the findings’ reliability. Notably, adopting off-site AM production, when advantageous, results in substantial savings, as demonstrated numerically and through a case study considering 6000+ spare parts.
{"title":"On-Site or Off-Site Additive Manufacturing Spare Parts Production? An Economic and Environmental Analysis Encompassing Country Carbon Tax Policy, Energy Mix, and Availability","authors":"Mirco Peron;Srinivas Talluri","doi":"10.1109/TEM.2025.3649531","DOIUrl":"https://doi.org/10.1109/TEM.2025.3649531","url":null,"abstract":"Additive Manufacturing (AM) has been extensively studied for spare parts management. The literature concurs that producing AM spare parts close to the point of use (i.e., on-site) offers both economic and environmental advantages compared to off-site production, particularly when spare parts are produced through printing hubs, which is the current industrial practice. However, this might not always hold true: different countries have different energy costs and emit different amounts of CO<sub>2-eq</sub> to produce one kWh. Consequently, it may be preferable to produce spare parts in a country having low energy costs and/or depending less on fossil fuels, even if far from the point of use (i.e., off-site). Such decisions should also consider governmental carbon-reduction schemes (e.g., carbon taxes) whereby the more a firm emits, the more it pays. However, there is a lack of research encompassing all these aspects when deciding whether to produce AM spare parts on- or off-site. This work fills this gap, identifying if and when off-site production of AM spare parts is preferable from both economic and environmental perspectives. Contrary to claims in the literature, the results show that off-site production is sometimes preferable, particularly when its unitary energy cost is lower than that of on-site production. Interestingly, due to current low carbon tax values, the on-site/off-site production decision is driven only by economic considerations. Robustness checks confirmed the findings’ reliability. Notably, adopting off-site AM production, when advantageous, results in substantial savings, as demonstrated numerically and through a case study considering 6000+ spare parts.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"1176-1193"},"PeriodicalIF":5.2,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026444","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}
Accurate prediction of raw material prices helps enterprises optimize procurement, control costs, and enhance profits. Yet, the interplay of factors, such as supply and demand imbalances, market volatility, and abrupt disruptions, still poses a significant challenge. To address these challenges, in this article, we propose a novel hybrid framework for price prediction, called EFD-CBGT, that combines deep learning and large language model (LLM). First of all, we leverage LLMs internalized rich knowledge and contextual reasoning capabilities to generate high-quality textual data using interactive querying. The textual data are then converted into low-dimensional, high-value features using financial BERT and deep sparse autoencoder. Second, we employ the empirical wavelet transform to create a stationary numerical series from the most strongly correlated features of raw material prices. Finally, by incorporating a featurewise attention module, we use four deep learning models to extract local, bidirectional temporal, temporal, and global features. We conduct comparative experiments, ablation studies, significance tests, and robustness analyses on three real datasets from a leading lithium-ion battery manufacturer in China. The experimental results demonstrate the effectiveness and robustness of EFD-CBGT.
{"title":"A Novel Hybrid Price Prediction Method Using Multimodal Deep Learning and LLM for New Energy Power Raw Materials","authors":"Xuhui Zhu;Muzi Li;Pingfan Xia;Hao Lei;Zhanglin Peng","doi":"10.1109/TEM.2025.3649729","DOIUrl":"https://doi.org/10.1109/TEM.2025.3649729","url":null,"abstract":"Accurate prediction of raw material prices helps enterprises optimize procurement, control costs, and enhance profits. Yet, the interplay of factors, such as supply and demand imbalances, market volatility, and abrupt disruptions, still poses a significant challenge. To address these challenges, in this article, we propose a novel hybrid framework for price prediction, called EFD-CBGT, that combines deep learning and large language model (LLM). First of all, we leverage LLMs internalized rich knowledge and contextual reasoning capabilities to generate high-quality textual data using interactive querying. The textual data are then converted into low-dimensional, high-value features using financial BERT and deep sparse autoencoder. Second, we employ the empirical wavelet transform to create a stationary numerical series from the most strongly correlated features of raw material prices. Finally, by incorporating a featurewise attention module, we use four deep learning models to extract local, bidirectional temporal, temporal, and global features. We conduct comparative experiments, ablation studies, significance tests, and robustness analyses on three real datasets from a leading lithium-ion battery manufacturer in China. The experimental results demonstrate the effectiveness and robustness of EFD-CBGT.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"1348-1362"},"PeriodicalIF":5.2,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082009","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 : 2025-12-29DOI: 10.1109/TEM.2025.3649028
Xihui Wang;Yong Zhang
As corporate social responsibility (CSR) gains prominence, firms confront a strategic choice between symbolic CSR, which offers superficial signals and entails greenwashing risk, and substantive CSR, which eliminates this risk through genuine and impactful practices at a higher cost. Prior research primarily examined whether firms engage in CSR, with limited exploration on the choice between symbolic and substantive CSR once engagement is decided. This article develops a game-theoretic model to examine firms’ incentives for substantive CSR, and how these varies with market structures and relevant exogenous parameters, including price premium, greenwashing risk, and consumer boycotts. We find that firms implement substantive CSR only when the incremental marginal cost is sufficiently low, and this condition becomes more stringent under competition. Although competition discourages the adoption of substantive CSR, it increases consumer surplus and social welfare when substantive CSR is implemented. Counterintuitively, this article demonstrates that price premium and consumer boycotts do not always promote substantive CSR under competition due to strategic price interactions. Furthermore, we derive the equilibrium CSR strategy structure and identify a dynamic set of the equilibrium structures that always includes the symmetric structures. Interestingly, a prisoner’s dilemma, in which both firms implement Pareto-insufficient symbolic CSR, may arise when the set consists solely of the symmetric structures. Finally, we show that these results remain robust under model extensions and demonstrate that the presence of consumers who refuse to pay a price premium may surprisingly increase firms’ prices and profits.
{"title":"Symbolic or Substantive: An Analysis of Corporate Social Responsibility Strategies","authors":"Xihui Wang;Yong Zhang","doi":"10.1109/TEM.2025.3649028","DOIUrl":"https://doi.org/10.1109/TEM.2025.3649028","url":null,"abstract":"As corporate social responsibility (CSR) gains prominence, firms confront a strategic choice between symbolic CSR, which offers superficial signals and entails greenwashing risk, and substantive CSR, which eliminates this risk through genuine and impactful practices at a higher cost. Prior research primarily examined whether firms engage in CSR, with limited exploration on the choice between symbolic and substantive CSR once engagement is decided. This article develops a game-theoretic model to examine firms’ incentives for substantive CSR, and how these varies with market structures and relevant exogenous parameters, including price premium, greenwashing risk, and consumer boycotts. We find that firms implement substantive CSR only when the incremental marginal cost is sufficiently low, and this condition becomes more stringent under competition. Although competition discourages the adoption of substantive CSR, it increases consumer surplus and social welfare when substantive CSR is implemented. Counterintuitively, this article demonstrates that price premium and consumer boycotts do not always promote substantive CSR under competition due to strategic price interactions. Furthermore, we derive the equilibrium CSR strategy structure and identify a dynamic set of the equilibrium structures that always includes the symmetric structures. Interestingly, a prisoner’s dilemma, in which both firms implement Pareto-insufficient symbolic CSR, may arise when the set consists solely of the symmetric structures. Finally, we show that these results remain robust under model extensions and demonstrate that the presence of consumers who refuse to pay a price premium may surprisingly increase firms’ prices and profits.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"1301-1315"},"PeriodicalIF":5.2,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026324","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}
This article develops a game theory model of digital technology innovation (DTI) within a two-tier supply chain involving manufacturers and logistics providers, with a shared goal of carbon emission reduction. The model examines how manufacturers and logistics providers can adopt integrated innovation to enhance both carbon reduction and DTI performance while maximizing mutual benefits. The analysis yields three key findings: first, DTI does not always lead to carbon reduction within the supply chain through the integration of manufacturers and logistics providers. Instead, optimal integration strategies and responsibility allocation models should be contingent on the capabilities of manufacturers and logistics providers. Second, when logistics providers have significantly superior capabilities, they should assume full responsibility for both carbon reduction and DTI services. Conversely, when manufacturers have significantly superior capabilities, they should lead carbon reduction efforts while the logistics provider focuses on DTI. Sensitivity analyses demonstrate the robustness of the results with respect to different profit coefficients and cost-sharing ratios. Third, we extend the model to consider the carbon trading mechanism and external DTI effects on market demand and show that the findings are robust when these additional mechanisms and levers are introduced. Managerial relevance statement: First, this article offers managerial guidance by introducing three integrated innovation between logistics provider and manufacturer (II-LM) models that are adaptable to diverse industrial scenarios. Engineering managers should tailor their DTI strategies to the specific conditions of their enterprises. By adopting the II-LM strategies, they can enhance collaboration and achieve both carbon reduction and DTI engineering objectives. Second, the “double benefit” effect of carbon trading can encourage policymakers to accelerate the development of carbon trading policies and market mechanisms. Finally, for United Nation's 17 Sustainable Development Goals (SDGs), this article contributes to SDG 9, SDG 12, and SDG 13.
{"title":"Digital Technology Innovation Strategies From the Perspective of Manufacturer–Logistics Provider Integration for Carbon Emission Reduction","authors":"Weihua Liu;Siyu Wang;Xiao Alison Chen;Jingxin Dong","doi":"10.1109/TEM.2025.3648753","DOIUrl":"https://doi.org/10.1109/TEM.2025.3648753","url":null,"abstract":"This article develops a game theory model of digital technology innovation (DTI) within a two-tier supply chain involving manufacturers and logistics providers, with a shared goal of carbon emission reduction. The model examines how manufacturers and logistics providers can adopt integrated innovation to enhance both carbon reduction and DTI performance while maximizing mutual benefits. The analysis yields three key findings: first, DTI does not always lead to carbon reduction within the supply chain through the integration of manufacturers and logistics providers. Instead, optimal integration strategies and responsibility allocation models should be contingent on the capabilities of manufacturers and logistics providers. Second, when logistics providers have significantly superior capabilities, they should assume full responsibility for both carbon reduction and DTI services. Conversely, when manufacturers have significantly superior capabilities, they should lead carbon reduction efforts while the logistics provider focuses on DTI. Sensitivity analyses demonstrate the robustness of the results with respect to different profit coefficients and cost-sharing ratios. Third, we extend the model to consider the carbon trading mechanism and external DTI effects on market demand and show that the findings are robust when these additional mechanisms and levers are introduced. <italic>Managerial relevance statement:</i> First, this article offers managerial guidance by introducing three integrated innovation between logistics provider and manufacturer (II-LM) models that are adaptable to diverse industrial scenarios. Engineering managers should tailor their DTI strategies to the specific conditions of their enterprises. By adopting the II-LM strategies, they can enhance collaboration and achieve both carbon reduction and DTI engineering objectives. Second, the “double benefit” effect of carbon trading can encourage policymakers to accelerate the development of carbon trading policies and market mechanisms. Finally, for United Nation's 17 Sustainable Development Goals (SDGs), this article contributes to SDG 9, SDG 12, and SDG 13.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"1274-1288"},"PeriodicalIF":5.2,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026470","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 : 2025-12-25DOI: 10.1109/TEM.2025.3646968
Carmen González-Zapatero;Javier González-Benito;Byung-Gak Son;Canan Kocabasoglu-Hillmer
The misalignment between the external risks a company faces, such as natural disasters or macroeconomic shocks, and the supply chain risk mitigation efforts (RMEs) it undertakes has received limited attention, particularly from the perspective of small and medium-sized enterprises (SMEs). Using contingency theory as a theoretical underpinning, this research introduces a novel fit measure, the risk mitigation deficit (RMD), to capture this misalignment. It then examines the impact of RMD on operational risk (OR), which refers to the failure of the supply chain to achieve key objectives such as cost efficiency, quality, and sustainability. SMEs face unique challenges, as RMEs are resource-intensive, requiring careful alignment of mitigation measures with risk exposure. This study contributes by analyzing data from 213 SMEs in the Spanish agrifood supply chain. The results suggest that both upstream and in-house RMD positively influence output OR, whereas downstream RMD shows no such relationship. Similarly, upstream RMD does not appear to influence input OR. A robustness test examining the effect of mere RME on OR confirmed that RMD possesses explanatory power over OR that RME alone does not. These findings underscore that a one-size-fits-all approach to supply chain risk management is ineffective, especially for resource-constrained SMEs. Instead, tailored, context-specific solutions are needed to help SMEs efficiently balance risk profiles and mitigation efforts.
{"title":"A Risk Mitigation Deficit Measure to Control Risks in Supply Chains: An SME Perspective","authors":"Carmen González-Zapatero;Javier González-Benito;Byung-Gak Son;Canan Kocabasoglu-Hillmer","doi":"10.1109/TEM.2025.3646968","DOIUrl":"https://doi.org/10.1109/TEM.2025.3646968","url":null,"abstract":"The misalignment between the external risks a company faces, such as natural disasters or macroeconomic shocks, and the supply chain risk mitigation efforts (RMEs) it undertakes has received limited attention, particularly from the perspective of small and medium-sized enterprises (SMEs). Using contingency theory as a theoretical underpinning, this research introduces a novel fit measure, the risk mitigation deficit (RMD), to capture this misalignment. It then examines the impact of RMD on operational risk (OR), which refers to the failure of the supply chain to achieve key objectives such as cost efficiency, quality, and sustainability. SMEs face unique challenges, as RMEs are resource-intensive, requiring careful alignment of mitigation measures with risk exposure. This study contributes by analyzing data from 213 SMEs in the Spanish agrifood supply chain. The results suggest that both upstream and in-house RMD positively influence output OR, whereas downstream RMD shows no such relationship. Similarly, upstream RMD does not appear to influence input OR. A robustness test examining the effect of mere RME on OR confirmed that RMD possesses explanatory power over OR that RME alone does not. These findings underscore that a one-size-fits-all approach to supply chain risk management is ineffective, especially for resource-constrained SMEs. Instead, tailored, context-specific solutions are needed to help SMEs efficiently balance risk profiles and mitigation efforts.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"1289-1300"},"PeriodicalIF":5.2,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11316280","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026462","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 : 2025-12-25DOI: 10.1109/TEM.2025.3648537
Guangming Cao;Yanqing Duan;John Edwards
This study develops and empirically validates an integrative model explaining how firms achieve digital innovation through the interplay among digital strategy, absorptive capacity, digital technology deployment, and environmental dynamism. Drawing on the content-context-process-outcome framework, digital strategy provides the guiding content; absorptive capacity and environmental dynamism act as contextual enablers; and digital technology deployment functions as the central process driving innovation outcomes. Survey data from 250 Chinese firms were analyzed using partial least squares structural equation modeling and contextualized and externally validated through cross-case and cross-industry validation. The findings reveal an inverted U-shaped relationship between digital technology deployment and innovation, challenging the linear assumption of prior research. While deployment is essential, overinvestment without strategic alignment leads to diminishing returns, underscoring the need for strategic coherence and absorptive alignment. Digital strategy and absorptive capacity directly and indirectly enhance innovation through digital technology deployment, while environmental dynamism amplifies the strategic-innovation linkage. Theoretically, the study contributes to the engineering management literature by advancing a holistic, dynamic, and nonlinear understanding of digital innovation as an optimization and orchestration process rather than a purely technological one. It offers a generalizable framework that strengthens integrative and system-oriented perspectives in engineering management research.
{"title":"Toward a Holistic Understanding of Digital Innovation: A Multidimensional Approach","authors":"Guangming Cao;Yanqing Duan;John Edwards","doi":"10.1109/TEM.2025.3648537","DOIUrl":"https://doi.org/10.1109/TEM.2025.3648537","url":null,"abstract":"This study develops and empirically validates an integrative model explaining how firms achieve digital innovation through the interplay among digital strategy, absorptive capacity, digital technology deployment, and environmental dynamism. Drawing on the content-context-process-outcome framework, digital strategy provides the guiding content; absorptive capacity and environmental dynamism act as contextual enablers; and digital technology deployment functions as the central process driving innovation outcomes. Survey data from 250 Chinese firms were analyzed using partial least squares structural equation modeling and contextualized and externally validated through cross-case and cross-industry validation. The findings reveal an inverted U-shaped relationship between digital technology deployment and innovation, challenging the linear assumption of prior research. While deployment is essential, overinvestment without strategic alignment leads to diminishing returns, underscoring the need for strategic coherence and absorptive alignment. Digital strategy and absorptive capacity directly and indirectly enhance innovation through digital technology deployment, while environmental dynamism amplifies the strategic-innovation linkage. Theoretically, the study contributes to the engineering management literature by advancing a holistic, dynamic, and nonlinear understanding of digital innovation as an optimization and orchestration process rather than a purely technological one. It offers a generalizable framework that strengthens integrative and system-oriented perspectives in engineering management research.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"1147-1161"},"PeriodicalIF":5.2,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982163","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 : 2025-12-25DOI: 10.1109/TEM.2025.3648655
Ke-Chiun Chang;Xiaoran Sun;Xinyi Xiong;Shuyu Zhang;Yen-Chun Lai
We investigate why inventors choose specific collaborators and how different collaboration patterns shape the relationship between network stability and exploratory innovation in interdisciplinary contexts. Using nanoenergy patents (1998–2021) from the Derwent World Patent Index, we find that collaboration network stability hinders exploratory innovation, and this effect is moderated by assortativity. We classify collaborations into two types based on inventors' assortativity and network location: high assortativity collaboration, where core (peripheral) inventors work with others in similar locations, and low assortativity collaboration, where inventors collaborate across different network locations. We further examine how these collaborations influence the impact mechanism, challenging the conventional assumption of core–core collaboration. Robustness tests, including narrowed sample windows and alternative variable measures, confirm the consistency of results. Our findings provide nuanced insights into how partner selection and collaboration structures affect exploratory innovation, offering practical guidance for managers seeking to design effective collaboration strategies in technology-driven and interdisciplinary organizations.
{"title":"Collaborator Selection and Paths to Enhance Exploratory Innovation: Should Inventor Collaboration Seek Common Ground or Preserve Differences?","authors":"Ke-Chiun Chang;Xiaoran Sun;Xinyi Xiong;Shuyu Zhang;Yen-Chun Lai","doi":"10.1109/TEM.2025.3648655","DOIUrl":"https://doi.org/10.1109/TEM.2025.3648655","url":null,"abstract":"We investigate why inventors choose specific collaborators and how different collaboration patterns shape the relationship between network stability and exploratory innovation in interdisciplinary contexts. Using nanoenergy patents (1998–2021) from the Derwent World Patent Index, we find that collaboration network stability hinders exploratory innovation, and this effect is moderated by assortativity. We classify collaborations into two types based on inventors' assortativity and network location: high assortativity collaboration, where core (peripheral) inventors work with others in similar locations, and low assortativity collaboration, where inventors collaborate across different network locations. We further examine how these collaborations influence the impact mechanism, challenging the conventional assumption of core–core collaboration. Robustness tests, including narrowed sample windows and alternative variable measures, confirm the consistency of results. Our findings provide nuanced insights into how partner selection and collaboration structures affect exploratory innovation, offering practical guidance for managers seeking to design effective collaboration strategies in technology-driven and interdisciplinary organizations.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"1086-1099"},"PeriodicalIF":5.2,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082146","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}
Artificial intelligence (AI) is transforming how consumers search, interpret, and apply information, presenting both opportunities and challenges for engineering management in designing, managing, and using AI-enabled search systems. Despite substantial research, studies on AI-enabled consumer information search remain fragmented, providing limited integration of insights across technological, behavioral, and managerial perspectives. To address this, we conduct a systematic literature review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol and grounded theory, identifying four thematic areas: Information Search and AI recommendation, AI conversation, AI anthropomorphism, and AI retrieval, which are structured into a search-theme mapping framework to organize themes across the consumer search stages. The findings under each theme are synthesized to reveal research gaps, derive future research propositions, and highlight managerial implications. This synthesis shows how engineering managers can apply AI recommendation strategies, message framing, anthropomorphic design, modality, cognitive load, and generative AI timing to optimize consumer search, decision-making, and engagement. Overall, the study synthesizes fragmented knowledge, advances theoretical understanding, and provides a structured foundation for guiding future research and managerial practice in engineering management.
{"title":"Artificial Intelligence and Consumer Information Search: A Review, Synthesis, and Propositions","authors":"Sivaranjan Murugesan;Bharadhwaj Sivakumaran;Piyush Sharma;Laxminarayanan Ganesan","doi":"10.1109/TEM.2025.3648018","DOIUrl":"https://doi.org/10.1109/TEM.2025.3648018","url":null,"abstract":"Artificial intelligence (AI) is transforming how consumers search, interpret, and apply information, presenting both opportunities and challenges for engineering management in designing, managing, and using AI-enabled search systems. Despite substantial research, studies on AI-enabled consumer information search remain fragmented, providing limited integration of insights across technological, behavioral, and managerial perspectives. To address this, we conduct a systematic literature review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol and grounded theory, identifying four thematic areas: Information Search and AI recommendation, AI conversation, AI anthropomorphism, and AI retrieval, which are structured into a search-theme mapping framework to organize themes across the consumer search stages. The findings under each theme are synthesized to reveal research gaps, derive future research propositions, and highlight managerial implications. This synthesis shows how engineering managers can apply AI recommendation strategies, message framing, anthropomorphic design, modality, cognitive load, and generative AI timing to optimize consumer search, decision-making, and engagement. Overall, the study synthesizes fragmented knowledge, advances theoretical understanding, and provides a structured foundation for guiding future research and managerial practice in engineering management.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"73 ","pages":"1100-1115"},"PeriodicalIF":5.2,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982173","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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