Pub Date : 2025-10-02DOI: 10.1109/TEM.2025.3616029
Tian Liu;Bipan Zou;Linzi Zhang;Guohu Xu
Warehouses recently are increasingly using autonomous robots and compact structures to handle fluctuating demands in a cost-efficient way. While organizing items in a compact cube can save floor space cost, it sacrifices the operational efficiency due to reshuffling and robot detouring to get target items. This study investigates this trade-off in three typical robotic storage and retrieval systems (RS/RSs), including a compact structure that organizes stacks in a grid (RCS/RS), a disperse structure that establishes vertical aisles for robot traveling (VRS/RS), and a structure with an aisle between any two adjacent racks for robot traveling (AVS/RS). We first build an expected travel time model of retrieval transactions, and validate the accuracy of the model by simulation. Then, with the objective of minimizing the expected retrieval travel time of robots, we derive the optimal configuration for three systems. Finally, we construct a cost minimization model of the system with a required throughput capacity obtained by a closed queuing network. We derive the minimum system cost by determining optimal system configuration and the numbers of robots and workstations. The comparison results show that the AVS/RS is the most efficient in robot travel time. The VRS/RS needs the least investment to reach a required throughput capacity, and the AVS/RS is the most expensive. Moreover, when the budget for system configuration, robots and workstations is limited, the VRS/RS can provide the largest throughput capacity.
{"title":"Expected Retrieval Time Comparison Among Robotic Storage and Retrieval Systems With Various Structures","authors":"Tian Liu;Bipan Zou;Linzi Zhang;Guohu Xu","doi":"10.1109/TEM.2025.3616029","DOIUrl":"https://doi.org/10.1109/TEM.2025.3616029","url":null,"abstract":"Warehouses recently are increasingly using autonomous robots and compact structures to handle fluctuating demands in a cost-efficient way. While organizing items in a compact cube can save floor space cost, it sacrifices the operational efficiency due to reshuffling and robot detouring to get target items. This study investigates this trade-off in three typical robotic storage and retrieval systems (RS/RSs), including a compact structure that organizes stacks in a grid (RCS/RS), a disperse structure that establishes vertical aisles for robot traveling (VRS/RS), and a structure with an aisle between any two adjacent racks for robot traveling (AVS/RS). We first build an expected travel time model of retrieval transactions, and validate the accuracy of the model by simulation. Then, with the objective of minimizing the expected retrieval travel time of robots, we derive the optimal configuration for three systems. Finally, we construct a cost minimization model of the system with a required throughput capacity obtained by a closed queuing network. We derive the minimum system cost by determining optimal system configuration and the numbers of robots and workstations. The comparison results show that the AVS/RS is the most efficient in robot travel time. The VRS/RS needs the least investment to reach a required throughput capacity, and the AVS/RS is the most expensive. Moreover, when the budget for system configuration, robots and workstations is limited, the VRS/RS can provide the largest throughput capacity.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"4184-4207"},"PeriodicalIF":5.2,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145405269","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 : 2025-10-01DOI: 10.1109/TEM.2025.3613494
Xu Ouyang;Sai-Ho Chung
In the past five years, the logistics and service sectors struggled for disruptions in multiple dimensions, particularly since the COVID-19 pandemic. Lockdown, travel restriction, geopolitical tension, extreme weather, and the trade war imposed critical challenges to operations. The resulting disruptions impacted both the upstream (e.g., production and supply) and the downstream (e.g., final-mile delivery and customer service) throughout the industries negatively. It is thus meaningful to identify critical operational problems arising from these disruptions and to derive insights on how to hedge against their adverse impacts. This article provides a focused review of the latest literature on logistics and service operations under disruptions. We identify the primary sources of recent disruptions and classify their effects on operational uncertainties. Then, we demonstrate how classic operational problems (e.g., vehicle routing and inventory management) are developed to adapt to disruptions, as well as some emerging issues (e.g., network design under tariff uncertainty). According to application contexts, we review several representative methodologies (e.g., stochastic programming, robust optimization, game theory, and machine learning), which are widely applied in modeling and solving these problems. Last, we conclude this review by summarizing our findings and proposing a three-fold research agenda to inspire future studies on this vital topic.
{"title":"Logistics and Service Operations Under Disruptions: Recent Development Under the DT Taxonomy","authors":"Xu Ouyang;Sai-Ho Chung","doi":"10.1109/TEM.2025.3613494","DOIUrl":"https://doi.org/10.1109/TEM.2025.3613494","url":null,"abstract":"In the past five years, the logistics and service sectors struggled for disruptions in multiple dimensions, particularly since the COVID-19 pandemic. Lockdown, travel restriction, geopolitical tension, extreme weather, and the trade war imposed critical challenges to operations. The resulting disruptions impacted both the upstream (e.g., production and supply) and the downstream (e.g., final-mile delivery and customer service) throughout the industries negatively. It is thus meaningful to identify critical operational problems arising from these disruptions and to derive insights on how to hedge against their adverse impacts. This article provides a focused review of the latest literature on logistics and service operations under disruptions. We identify the primary sources of recent disruptions and classify their effects on operational uncertainties. Then, we demonstrate how classic operational problems (e.g., vehicle routing and inventory management) are developed to adapt to disruptions, as well as some emerging issues (e.g., network design under tariff uncertainty). According to application contexts, we review several representative methodologies (e.g., stochastic programming, robust optimization, game theory, and machine learning), which are widely applied in modeling and solving these problems. Last, we conclude this review by summarizing our findings and proposing a three-fold research agenda to inspire future studies on this vital topic.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"4225-4236"},"PeriodicalIF":5.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145455834","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 : 2025-09-30DOI: 10.1109/TEM.2025.3616130
Cong Cheng;Jian Dai;Lulu Yan
Selecting the right merger and acquisition (M&A) target is a critical yet challenging endeavor, as the success of these strategic initiatives depends mainly on identifying compatible firms. This study draws upon the theoretical perspectives of strategic fit and organizational search to propose and validate a novel, two-stage M&A target recommendation approach designed as a managerial decision support system. Initially, the method facilitates a focused search in which acquirers define explicit criteria for identifying a highly relevant initial target within a knowledge graph (KG). It then employs a similarity-based search expansion using advanced KG embedding models to recommend additional targets that exhibit latent structural similarities. The efficacy of this approach is validated on a large-scale U.S. M&A dataset (2010–2022). Our key findings are threefold. First, our model demonstrates statistically significant superiority over benchmarks, confirmed through robustness checks, including tenfold cross-validation and temporal validation. Second, in an experiment on deals by experienced acquirers, our model is more effective at identifying these targets, quantitatively demonstrating its superior recommendation quality. Third, our analysis uncovers counterintuitive patterns, revealing that machine-identified structural similarities can be more potent predictors of fit than traditional human-centric filters, such as geography. It further explores the tool’s boundary conditions, showing that it is more effective in complex, high-tech sectors. This KG-based methodology offers a more informed, strategically refined, and empirically validated tool to enhance the quality of M&A decisions.
{"title":"A Knowledge Graph-Based Target Recommendation Approach for Mergers and Acquisitions","authors":"Cong Cheng;Jian Dai;Lulu Yan","doi":"10.1109/TEM.2025.3616130","DOIUrl":"https://doi.org/10.1109/TEM.2025.3616130","url":null,"abstract":"Selecting the right merger and acquisition (M&A) target is a critical yet challenging endeavor, as the success of these strategic initiatives depends mainly on identifying compatible firms. This study draws upon the theoretical perspectives of strategic fit and organizational search to propose and validate a novel, two-stage M&A target recommendation approach designed as a managerial decision support system. Initially, the method facilitates a focused search in which acquirers define explicit criteria for identifying a highly relevant initial target within a knowledge graph (KG). It then employs a similarity-based search expansion using advanced KG embedding models to recommend additional targets that exhibit latent structural similarities. The efficacy of this approach is validated on a large-scale U.S. M&A dataset (2010–2022). Our key findings are threefold. First, our model demonstrates statistically significant superiority over benchmarks, confirmed through robustness checks, including tenfold cross-validation and temporal validation. Second, in an experiment on deals by experienced acquirers, our model is more effective at identifying these targets, quantitatively demonstrating its superior recommendation quality. Third, our analysis uncovers counterintuitive patterns, revealing that machine-identified structural similarities can be more potent predictors of fit than traditional human-centric filters, such as geography. It further explores the tool’s boundary conditions, showing that it is more effective in complex, high-tech sectors. This KG-based methodology offers a more informed, strategically refined, and empirically validated tool to enhance the quality of M&A decisions.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"4113-4126"},"PeriodicalIF":5.2,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145255935","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 : 2025-09-29DOI: 10.1109/TEM.2025.3615542
Kerem Kayabay;Mert Onuralp Gökalp;Atilla Kılınç;Ebru Gökalp;Tugrul Daim
Many organizations struggle to keep their artificial intelligence (AI) systems aligned with operational data and computing resources in today’s volatile landscape. Data science roadmapping (DSR) embeds data layers into planning scenarios and enables a human-centric process. While DSR is effective for creating data science roadmaps, it lacks a clear implementation framework. This research advances DSR as a continuous AI alignment platform through three phases: 1) a multivocal literature review of academic and grey sources identifies gaps and tools; 2) synthesis of these findings adapts DSR for ongoing AI alignment; 3) a retrospective case study evaluates the adapted process. Initial results show the effectiveness of agile modifications to the DSR framework and the integration of a real-time platform for roadmap implementation and monitoring. Case study participants strongly supported a dedicated roadmapping operations team, especially to manage communication, detect AI deviations, and ensure compliance. This underscores how the operationalization of roadmapping can strengthen data and AI governance.
{"title":"Data Science Roadmapping for AI Alignment: Insights From a Multivocal Literature Review and a Retrospective Case Study","authors":"Kerem Kayabay;Mert Onuralp Gökalp;Atilla Kılınç;Ebru Gökalp;Tugrul Daim","doi":"10.1109/TEM.2025.3615542","DOIUrl":"https://doi.org/10.1109/TEM.2025.3615542","url":null,"abstract":"Many organizations struggle to keep their artificial intelligence (AI) systems aligned with operational data and computing resources in today’s volatile landscape. Data science roadmapping (DSR) embeds data layers into planning scenarios and enables a human-centric process. While DSR is effective for creating data science roadmaps, it lacks a clear implementation framework. This research advances DSR as a continuous AI alignment platform through three phases: 1) a multivocal literature review of academic and grey sources identifies gaps and tools; 2) synthesis of these findings adapts DSR for ongoing AI alignment; 3) a retrospective case study evaluates the adapted process. Initial results show the effectiveness of agile modifications to the DSR framework and the integration of a real-time platform for roadmap implementation and monitoring. Case study participants strongly supported a dedicated roadmapping operations team, especially to manage communication, detect AI deviations, and ensure compliance. This underscores how the operationalization of roadmapping can strengthen data and AI governance.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"4171-4183"},"PeriodicalIF":5.2,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145315460","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 : 2025-09-25DOI: 10.1109/TEM.2025.3614554
Soumya Prakash Patra;Rohit Agrawal;Rajesh Kumar Singh;Qile He
Blockchain technology (BCT) is emerging as a disruptive innovation in increasingly globalized business ventures. It is believed to offer important benefits to international entrepreneurs, such as reducing transaction cost and risk of fraud, creating better transactional trust, and avoiding exploitation by business partners. However, BCT can bring changes to the business world only if it gets adopted by industries across all spectrums. International entrepreneurs are amongst the critical groups of adopters of BCT. Based on multiple theoretical perspectives, this article identifies and categorizes key barriers to adopting BCT by international entrepreneurs. A survey of BCT field experts was conducted to validate 15 key barriers to BCT adoption. Furthermore, based on pairwise comparison data collection with three groups of international entrepreneurs from India and U.K., a decision-making methodology was adopted to identify the relative importance and the causal relationships among the key barriers. This study develops a framework of strategic solutions to address barriers of BCT adoption by international entrepreneurs. This study offers stakeholders of BCT to better understand the patterns of BCT adoption by international entrepreneurs and will support the development of more targeted and multifaceted BCT adoption strategies.
{"title":"Adoption of Blockchain Technology in International Entrepreneurship: Strategic Framework for Managing Roadblocks","authors":"Soumya Prakash Patra;Rohit Agrawal;Rajesh Kumar Singh;Qile He","doi":"10.1109/TEM.2025.3614554","DOIUrl":"https://doi.org/10.1109/TEM.2025.3614554","url":null,"abstract":"Blockchain technology (BCT) is emerging as a disruptive innovation in increasingly globalized business ventures. It is believed to offer important benefits to international entrepreneurs, such as reducing transaction cost and risk of fraud, creating better transactional trust, and avoiding exploitation by business partners. However, BCT can bring changes to the business world only if it gets adopted by industries across all spectrums. International entrepreneurs are amongst the critical groups of adopters of BCT. Based on multiple theoretical perspectives, this article identifies and categorizes key barriers to adopting BCT by international entrepreneurs. A survey of BCT field experts was conducted to validate 15 key barriers to BCT adoption. Furthermore, based on pairwise comparison data collection with three groups of international entrepreneurs from India and U.K., a decision-making methodology was adopted to identify the relative importance and the causal relationships among the key barriers. This study develops a framework of strategic solutions to address barriers of BCT adoption by international entrepreneurs. This study offers stakeholders of BCT to better understand the patterns of BCT adoption by international entrepreneurs and will support the development of more targeted and multifaceted BCT adoption strategies.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"4127-4140"},"PeriodicalIF":5.2,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145255942","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 : 2025-09-17DOI: 10.1109/TEM.2025.3609983
Qingguo Bai;Lei Xu
With the introduction of buy-online-and-pickup-in-store (BOPS) services, it has been unclear whether physical stores should have their own online channels when overconfident behavior, carbon abatement, and incomplete demand information are considered in the manufacturer’s operations. This practical issue motivates us to investigate an overconfident manufacturer under a cap-and-offset policy who sells products through the omnichannel retail model. Three types of customers in this model are classified, and only the expectation and variance of stochastic demand are captured. The operational stages related to production, inventory, and transportation contribute to carbon emissions. We first consider the self-operated online channel and the independent channel and develop two corresponding distributionally robust newsvendor models. The analytic expression of the optimal robust manufacturing quantity for each model is solved. We compare the operational efficacy of an overconfident manufacturer in the self-operated online system with that in the independent system. The results show that the net profit from selling each unit item to online customers is a significant factor in comparing the profit and carbon emissions of overconfident manufacturers in the two omnichannel retail systems. Numerical experiments are conducted to complement the theoretical models and examine the effects of several major parameters on the two systems in the omnichannel retail model. This article provides the manufacturer with valuable knowledge of the robust manufacturing strategy and integration between the online and offline channels under the omnichannel retail model.
{"title":"Robust Decisions of Omnichannel Retail Operations for an Overconfident Manufacturer Considering Short Life-Cycle Products and Cap-and-Offset Policy","authors":"Qingguo Bai;Lei Xu","doi":"10.1109/TEM.2025.3609983","DOIUrl":"https://doi.org/10.1109/TEM.2025.3609983","url":null,"abstract":"With the introduction of buy-online-and-pickup-in-store (BOPS) services, it has been unclear whether physical stores should have their own online channels when overconfident behavior, carbon abatement, and incomplete demand information are considered in the manufacturer’s operations. This practical issue motivates us to investigate an overconfident manufacturer under a cap-and-offset policy who sells products through the omnichannel retail model. Three types of customers in this model are classified, and only the expectation and variance of stochastic demand are captured. The operational stages related to production, inventory, and transportation contribute to carbon emissions. We first consider the self-operated online channel and the independent channel and develop two corresponding distributionally robust newsvendor models. The analytic expression of the optimal robust manufacturing quantity for each model is solved. We compare the operational efficacy of an overconfident manufacturer in the self-operated online system with that in the independent system. The results show that the net profit from selling each unit item to online customers is a significant factor in comparing the profit and carbon emissions of overconfident manufacturers in the two omnichannel retail systems. Numerical experiments are conducted to complement the theoretical models and examine the effects of several major parameters on the two systems in the omnichannel retail model. This article provides the manufacturer with valuable knowledge of the robust manufacturing strategy and integration between the online and offline channels under the omnichannel retail model.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"4020-4035"},"PeriodicalIF":5.2,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210036","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 : 2025-09-16DOI: 10.1109/TEM.2025.3610266
Xiutian Shi;Qiaoli Lai;Ciwei Dong;Siru Chen
Supplier greenwashing behaviors in corporate social responsibility (CSR) have become increasingly notable, often involving exaggerated claims about CSR initiatives or diverting resources to conceal violations. In this article, we develop a game-theoretic model to investigate the motivation of greenwashing and its intricate economic and social consequences, and explore whether blockchain technology can effectively enhance CSR efforts. We find that the tradeoff between exaggeration and concealment inherent in greenwashing plays a significant role in CSR strategy selection and corresponding performances. Specifically, if the exaggerating effect dominates greenwashing, the supplier has an incentive to adopt blockchain for self-certification in CSR activities. Conversely, when the concealment effect prevails, opportunistic behavior is more likely to occur. However, the integrative greenwashing coefficient has polarized impacts on the optimal CSR effort level, retailer’s profit, and consumer surplus. We unveil that blockchain implementation achieves the highest social welfare when the exaggeration of greenwashing plays a more prominent role, particularly when the CSR violation penalty is relatively subtle for both firms. Interestingly, we observe that greenwashing, despite its negative connotations, can eventually stimulate CSR efforts due to the incremental demand induced by exaggerated disclosures, ultimately leading to the highest social welfare.
{"title":"Exaggeration or Concealment: Corporate Social Responsibility Strategy in the Blockchain Era","authors":"Xiutian Shi;Qiaoli Lai;Ciwei Dong;Siru Chen","doi":"10.1109/TEM.2025.3610266","DOIUrl":"https://doi.org/10.1109/TEM.2025.3610266","url":null,"abstract":"Supplier greenwashing behaviors in corporate social responsibility (CSR) have become increasingly notable, often involving exaggerated claims about CSR initiatives or diverting resources to conceal violations. In this article, we develop a game-theoretic model to investigate the motivation of greenwashing and its intricate economic and social consequences, and explore whether blockchain technology can effectively enhance CSR efforts. We find that the tradeoff between exaggeration and concealment inherent in greenwashing plays a significant role in CSR strategy selection and corresponding performances. Specifically, if the exaggerating effect dominates greenwashing, the supplier has an incentive to adopt blockchain for self-certification in CSR activities. Conversely, when the concealment effect prevails, opportunistic behavior is more likely to occur. However, the integrative greenwashing coefficient has polarized impacts on the optimal CSR effort level, retailer’s profit, and consumer surplus. We unveil that blockchain implementation achieves the highest social welfare when the exaggeration of greenwashing plays a more prominent role, particularly when the CSR violation penalty is relatively subtle for both firms. Interestingly, we observe that greenwashing, despite its negative connotations, can eventually stimulate CSR efforts due to the incremental demand induced by exaggerated disclosures, ultimately leading to the highest social welfare.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"4264-4280"},"PeriodicalIF":5.2,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145510079","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 : 2025-09-15DOI: 10.1109/TEM.2025.3609246
Usama Awan;Ismail Golgeci;Anne-Laure Mention
Manufacturing firms are facing the complex challenge of deploying information technology (IT) alignment and establishing market agility to drive business model innovation (BMI). While existing literature has established a link between organizational sensemaking and BMI, the interaction between market agility and organizational sensemaking for BMI remains unexamined. Drawing from a knowledge base view, this study addresses this research gap by examining the moderating effect of IT alignment on the mediating role of market agility in the relationship between sensemaking capability and BMI. Our data, collected from 232 engineering manufacturers, along with the application of PLS-SEM to test the conceptual model, reveal that the effect of organizational sensemaking capability on BMI through market agility depends on IT alignment. These findings enhance our understanding of IT alignment’s role in a firm’s development of BMI via market agility, providing valuable implications for managerial practices by underscoring the importance of IT alignment for BMI. By grasping this interaction, managers can unlock the potential for more effective and innovative business models, fostering enhanced competitiveness and sustained growth.
{"title":"Exploring the Interplay of Sensemaking, Market Agility, and Information Technology Alignment in Business Model Innovation","authors":"Usama Awan;Ismail Golgeci;Anne-Laure Mention","doi":"10.1109/TEM.2025.3609246","DOIUrl":"https://doi.org/10.1109/TEM.2025.3609246","url":null,"abstract":"Manufacturing firms are facing the complex challenge of deploying information technology (IT) alignment and establishing market agility to drive business model innovation (BMI). While existing literature has established a link between organizational sensemaking and BMI, the interaction between market agility and organizational sensemaking for BMI remains unexamined. Drawing from a knowledge base view, this study addresses this research gap by examining the moderating effect of IT alignment on the mediating role of market agility in the relationship between sensemaking capability and BMI. Our data, collected from 232 engineering manufacturers, along with the application of PLS-SEM to test the conceptual model, reveal that the effect of organizational sensemaking capability on BMI through market agility depends on IT alignment. These findings enhance our understanding of IT alignment’s role in a firm’s development of BMI via market agility, providing valuable implications for managerial practices by underscoring the importance of IT alignment for BMI. By grasping this interaction, managers can unlock the potential for more effective and innovative business models, fostering enhanced competitiveness and sustained growth.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3937-3951"},"PeriodicalIF":5.2,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145141596","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 : 2025-09-11DOI: 10.1109/TEM.2025.3609335
Wenjing Li;Shuibo Zhang;Ying Gao;Qiuhao Xie
Despite a substantial body of literature addressing the environmental and social sustainability (ESS) of infrastructure projects, empirical findings regarding the effect sizes of ESS antecedents remain dispersed and ambiguous. This study develops a theoretical framework and conducts a meta-analysis of 78 empirical studies to investigate the relationships between ESS and its 11 antecedents. We propose a structured framework for understanding the complex drivers of ESS. The antecedents are categorized into three domains: project governance (encompassing both interorganizational governance and intraorganizational governance); internal resources and capabilities (including internal resources, organizational capabilities, employee-level cognition and organizational opportunity recognition); and institutional environment (characterized by coercive, normative, and mimetic pressures). Our findings reveal a significant positive association between all three antecedent categories and ESS outcomes. Moreover, national cultures and measurement of ESS demonstrate significant moderating effects on the relationships between ESS and its antecedents, underscoring the role of contextual contingencies. Notably, the results demonstrate that the antecedents are complementary in enhancing ESS, rather than acting in isolation. By aggregating and synthesizing existing research, this study contributes to the ESS and engineering management literature by quantifying the relationship between ESS and its antecedents, emphasizing the fundamental role of contingent factors, and establishing a cohesive conceptual framework that elucidates the mechanisms linking ESS and its antecedents.
{"title":"Toward a Mature Body of Knowledge: A Meta-Analysis of Antecedents to Infrastructure Project Environmental and Social Sustainability","authors":"Wenjing Li;Shuibo Zhang;Ying Gao;Qiuhao Xie","doi":"10.1109/TEM.2025.3609335","DOIUrl":"https://doi.org/10.1109/TEM.2025.3609335","url":null,"abstract":"Despite a substantial body of literature addressing the environmental and social sustainability (ESS) of infrastructure projects, empirical findings regarding the effect sizes of ESS antecedents remain dispersed and ambiguous. This study develops a theoretical framework and conducts a meta-analysis of 78 empirical studies to investigate the relationships between ESS and its 11 antecedents. We propose a structured framework for understanding the complex drivers of ESS. The antecedents are categorized into three domains: project governance (encompassing both interorganizational governance and intraorganizational governance); internal resources and capabilities (including internal resources, organizational capabilities, employee-level cognition and organizational opportunity recognition); and institutional environment (characterized by coercive, normative, and mimetic pressures). Our findings reveal a significant positive association between all three antecedent categories and ESS outcomes. Moreover, national cultures and measurement of ESS demonstrate significant moderating effects on the relationships between ESS and its antecedents, underscoring the role of contextual contingencies. Notably, the results demonstrate that the antecedents are complementary in enhancing ESS, rather than acting in isolation. By aggregating and synthesizing existing research, this study contributes to the ESS and engineering management literature by quantifying the relationship between ESS and its antecedents, emphasizing the fundamental role of contingent factors, and establishing a cohesive conceptual framework that elucidates the mechanisms linking ESS and its antecedents.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3967-3984"},"PeriodicalIF":5.2,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145141590","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 : 2025-09-10DOI: 10.1109/TEM.2025.3608256
Himanshu Joshi;Govind Lal Kumawat;Suyog Nigudkar
In recent years, the widespread adoption of adblockers has created significant challenges for digital platforms (e.g., websites) by limiting their ability to monetize content through advertising. In response, platforms have adopted divergent ad-recovery strategies: some deploy gates (antiadblock walls) that block access to users with adblockers, while others allow unrestricted access. Motivated by these contrasting industry practices, this article investigates whether and under what conditions platforms adopt the gating strategy. We develop a game-theoretic model in a duopoly setting, incorporating user heterogeneity and same-side network effects, to analyze the strategic decisions of competing platforms. Our analysis yields several important insights. First, in equilibrium, platforms adopt symmetric ad-recovery strategies: either both use gating, or both use no-gating, driven by the interplay between gating costs and ad revenue. Second, regardless of the competitor’s strategy, a platform adopting gating sets a lower ad intensity than one that does not. Third, contrary to general intuition, we find that blocking adblockers does not always improve a platform’s profit. When the cost of deploying and maintaining gating technologies is sufficiently high, the net profitability of gating may fall below that of the no-gating alternative. Finally, although consumer surplus declines under gating, social welfare may increase when gating costs are low, as the gain in platform revenue offsets the consumer utility loss.
{"title":"Block the Adblockers? Strategic Choices of Competing Platforms and Their Impacts","authors":"Himanshu Joshi;Govind Lal Kumawat;Suyog Nigudkar","doi":"10.1109/TEM.2025.3608256","DOIUrl":"https://doi.org/10.1109/TEM.2025.3608256","url":null,"abstract":"In recent years, the widespread adoption of adblockers has created significant challenges for digital platforms (e.g., websites) by limiting their ability to monetize content through advertising. In response, platforms have adopted divergent ad-recovery strategies: some deploy gates (antiadblock walls) that block access to users with adblockers, while others allow unrestricted access. Motivated by these contrasting industry practices, this article investigates whether and under what conditions platforms adopt the gating strategy. We develop a game-theoretic model in a duopoly setting, incorporating user heterogeneity and same-side network effects, to analyze the strategic decisions of competing platforms. Our analysis yields several important insights. First, in equilibrium, platforms adopt symmetric ad-recovery strategies: either both use gating, or both use no-gating, driven by the interplay between gating costs and ad revenue. Second, regardless of the competitor’s strategy, a platform adopting gating sets a lower ad intensity than one that does not. Third, contrary to general intuition, we find that blocking adblockers does not always improve a platform’s profit. When the cost of deploying and maintaining gating technologies is sufficiently high, the net profitability of gating may fall below that of the no-gating alternative. Finally, although consumer surplus declines under gating, social welfare may increase when gating costs are low, as the gain in platform revenue offsets the consumer utility loss.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"4036-4050"},"PeriodicalIF":5.2,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210088","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：