Pub Date : 2025-09-09DOI: 10.1109/TEM.2025.3607834
Pengwen Hou;Yingying Teng;Yunbo Wang;Yating Li
The boom of e-commerce has led to the rise of copycats but also encouraged more manufacturers to join these platforms for product distribution. Using a game-theoretic framework, we investigate whether a brand manufacturer faced with copycat competition and asymmetric demand information should enter the online channel, focusing on the impact of platform information sharing on brand manufacturer distribution mode choice in a multichannel retail environment. The main findings are as follows: First, when the platform does not share information, the brand manufacturer prefers the agency mode under the positive spillover effect if the commission rate is moderate. The platform’s sharing strategy increases the brand manufacturer’s preference for the agency mode. However, when the commission rate is sufficiently low or high, the distribution mode of the brand manufacturer is unaffected by the information-sharing strategy. Second, the platform may not always share information with the brand manufacturer in the agency mode, but rather depends on the competition intensity. Third, despite platform information sharing, the brand manufacturer may still choose the wholesale mode due to the positive spillover effect. This counterintuitive result occurs because the significant positive spillover effect mitigates the double marginalization effect of information sharing in the wholesale mode.
{"title":"Impact of Information Sharing on Distribution Mode Choice With Spillover Effects and Upstream Competition","authors":"Pengwen Hou;Yingying Teng;Yunbo Wang;Yating Li","doi":"10.1109/TEM.2025.3607834","DOIUrl":"https://doi.org/10.1109/TEM.2025.3607834","url":null,"abstract":"The boom of e-commerce has led to the rise of copycats but also encouraged more manufacturers to join these platforms for product distribution. Using a game-theoretic framework, we investigate whether a brand manufacturer faced with copycat competition and asymmetric demand information should enter the online channel, focusing on the impact of platform information sharing on brand manufacturer distribution mode choice in a multichannel retail environment. The main findings are as follows: First, when the platform does not share information, the brand manufacturer prefers the agency mode under the positive spillover effect if the commission rate is moderate. The platform’s sharing strategy increases the brand manufacturer’s preference for the agency mode. However, when the commission rate is sufficiently low or high, the distribution mode of the brand manufacturer is unaffected by the information-sharing strategy. Second, the platform may not always share information with the brand manufacturer in the agency mode, but rather depends on the competition intensity. Third, despite platform information sharing, the brand manufacturer may still choose the wholesale mode due to the positive spillover effect. This counterintuitive result occurs because the significant positive spillover effect mitigates the double marginalization effect of information sharing in the wholesale mode.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3909-3920"},"PeriodicalIF":5.2,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145110189","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 : 2025-09-08DOI: 10.1109/TEM.2025.3606637
Zahir Tari;Redowan Mahmud
As personal, social, and economic activities increasingly shift online, the underlying digital ecosystems are becoming more complex and susceptible to cyberattacks. While conventional cybersecurity solutions often target technical threats, they frequently overlook the human element. Human perceptions, behaviours, and decisions significantly affect system security, yet most current approaches fail to address these factors adequately. This paper fills that gap by introducing a system that interprets human-related cybersecurity data. It integrates multiple data types, including user activity logs and behavioural indicators, with a structured classification method to assess user-related risks more effectively. A reference model is also proposed in this work, combining zero-trust security (where no user or device is inherently trusted) with an adaptive trust framework that responds to individual user profiles. The system is evaluated against established machine learning methods, such as support vector machines and random forests, using a publicly available dataset that simulates both benign and malicious activity. We assess its performance in both risk classification and dimensionality reduction, reporting standard metrics such as precision, recall, and F1-score. Results indicate an 11% improvement over baseline models. Beyond technical validation, we conducted a user study to evaluate usability and user sentiment. Participants answered rating-scale and open-ended questions. Quantitative feedback highlighted improved satisfaction and usability, while qualitative responses were analysed for sentiment, positive, neutral, or negative. A 15% increase in agreement with user-friendly security practices was observed. These findings suggest that integrating human-context data with adaptive security frameworks enhances both technical efficacy and user alignment in cybersecurity systems.
{"title":"Augmenting Digital Ecosystem Resilience Through Human-Centric Cybersecurity Solutions","authors":"Zahir Tari;Redowan Mahmud","doi":"10.1109/TEM.2025.3606637","DOIUrl":"https://doi.org/10.1109/TEM.2025.3606637","url":null,"abstract":"As personal, social, and economic activities increasingly shift online, the underlying digital ecosystems are becoming more complex and susceptible to cyberattacks. While conventional cybersecurity solutions often target technical threats, they frequently overlook the human element. Human perceptions, behaviours, and decisions significantly affect system security, yet most current approaches fail to address these factors adequately. This paper fills that gap by introducing a system that interprets human-related cybersecurity data. It integrates multiple data types, including user activity logs and behavioural indicators, with a structured classification method to assess user-related risks more effectively. A reference model is also proposed in this work, combining zero-trust security (where no user or device is inherently trusted) with an adaptive trust framework that responds to individual user profiles. The system is evaluated against established machine learning methods, such as support vector machines and random forests, using a publicly available dataset that simulates both benign and malicious activity. We assess its performance in both risk classification and dimensionality reduction, reporting standard metrics such as precision, recall, and F1-score. Results indicate an 11% improvement over baseline models. Beyond technical validation, we conducted a user study to evaluate usability and user sentiment. Participants answered rating-scale and open-ended questions. Quantitative feedback highlighted improved satisfaction and usability, while qualitative responses were analysed for sentiment, positive, neutral, or negative. A 15% increase in agreement with user-friendly security practices was observed. These findings suggest that integrating human-context data with adaptive security frameworks enhances both technical efficacy and user alignment in cybersecurity systems.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3892-3908"},"PeriodicalIF":5.2,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145110295","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 : 2025-09-05DOI: 10.1109/TEM.2025.3606576
Héctor Hostos;Virginie Goepp;Patrick Sondi
The digitalization of industrial production systems through the Industry 4.0 paradigm has led to significant gains in efficiency and customization. However, it introduces new vulnerabilities, including heightened cybersecurity risks and increased dependence on network connectivity. Therefore, resilience emerges as a critical capability for maintaining operations and ensuring the recovery of production systems in the face of disruptions. This article presents a systematic literature review on resilience approaches in production systems, crucial for navigating the challenges of Industry 4.0. It adopts a three-perspective framework to analyze existing literature: resilience phases, resilience strategy decision space, and manufacturing system life cycle. The literature is classified into general frameworks, architectures, and methods, providing a structured overview of the field. The analysis reveals several key gaps, such as the need for practical implementation of resilience frameworks, the development of proactive strategies regarding the readiness phase, the exploration of underutilized areas in the resilience strategy decision space and the introduction of alternative resilience representations. The findings underscore the need to consider resilience, beyond a reaction to specific risks, as a broader capability to ensure the recovery of the production systems, and to open the path to new research directions.
{"title":"A Systematic Literature Review of Resilience Approaches in Production Systems","authors":"Héctor Hostos;Virginie Goepp;Patrick Sondi","doi":"10.1109/TEM.2025.3606576","DOIUrl":"https://doi.org/10.1109/TEM.2025.3606576","url":null,"abstract":"The digitalization of industrial production systems through the Industry 4.0 paradigm has led to significant gains in efficiency and customization. However, it introduces new vulnerabilities, including heightened cybersecurity risks and increased dependence on network connectivity. Therefore, resilience emerges as a critical capability for maintaining operations and ensuring the recovery of production systems in the face of disruptions. This article presents a systematic literature review on resilience approaches in production systems, crucial for navigating the challenges of Industry 4.0. It adopts a three-perspective framework to analyze existing literature: resilience phases, resilience strategy decision space, and manufacturing system life cycle. The literature is classified into general frameworks, architectures, and methods, providing a structured overview of the field. The analysis reveals several key gaps, such as the need for practical implementation of resilience frameworks, the development of proactive strategies regarding the readiness phase, the exploration of underutilized areas in the resilience strategy decision space and the introduction of alternative resilience representations. The findings underscore the need to consider resilience, beyond a reaction to specific risks, as a broader capability to ensure the recovery of the production systems, and to open the path to new research directions.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"4094-4112"},"PeriodicalIF":5.2,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145255917","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 : 2025-09-04DOI: 10.1109/TEM.2025.3605823
Javed Aslam;Aqeela Saleem;Kee-Hung Lai
The rise of generative Artificial Intelligence (Gen-AI), particularly ChatGPT, is reshaping the landscape of supply chain management (SCM) by enabling interactive, real-time, and language-based intelligence. Unlike traditional AI systems that operate on structured data and predefined rules, ChatGPT introduces a conversational interface that supports decision-making, problem-solving, and coordination across various SCM functions. This study examines the adoption of ChatGPT by assessing its alignment with four key supply chain tasks: optimization, adaptability, sustainability, and coordination. To explain the mechanisms driving adoption, we integrate the Task-Technology Fit (TTF) theory with the Stimulus-Organism-Response framework, modeling ChatGPT as a stimulus that influences user trust, satisfaction, and technology anxiety—cognitive and emotional responses that shape behavioral intention. Empirical data were collected from 382 SCM professionals across diverse industries and analyzed using Partial Least Squares Structural Equation Modeling. The results demonstrate that perceived TTF significantly enhances trust and satisfaction, both of which have a positive influence on the intention to adopt ChatGPT. Importantly, the study reveals that technology anxiety moderates these relationships, diminishing the strength of trust and satisfaction in driving adoption. This finding highlights the importance of addressing psychological resistance in conjunction with the deployment of technology. By offering a dual-theoretical lens and empirical validation, this research contributes to the emerging literature on Gen-AI adoption, providing actionable insights for practitioners seeking to integrate ChatGPT into their supply chain operations.
{"title":"Supply Chain Management in the Era of Generative AI (ChatGPT): Technology Fit and Psychological Drivers of Adoption","authors":"Javed Aslam;Aqeela Saleem;Kee-Hung Lai","doi":"10.1109/TEM.2025.3605823","DOIUrl":"https://doi.org/10.1109/TEM.2025.3605823","url":null,"abstract":"The rise of generative Artificial Intelligence (Gen-AI), particularly ChatGPT, is reshaping the landscape of supply chain management (SCM) by enabling interactive, real-time, and language-based intelligence. Unlike traditional AI systems that operate on structured data and predefined rules, ChatGPT introduces a conversational interface that supports decision-making, problem-solving, and coordination across various SCM functions. This study examines the adoption of ChatGPT by assessing its alignment with four key supply chain tasks: optimization, adaptability, sustainability, and coordination. To explain the mechanisms driving adoption, we integrate the Task-Technology Fit (TTF) theory with the Stimulus-Organism-Response framework, modeling ChatGPT as a stimulus that influences user trust, satisfaction, and technology anxiety—cognitive and emotional responses that shape behavioral intention. Empirical data were collected from 382 SCM professionals across diverse industries and analyzed using Partial Least Squares Structural Equation Modeling. The results demonstrate that perceived TTF significantly enhances trust and satisfaction, both of which have a positive influence on the intention to adopt ChatGPT. Importantly, the study reveals that technology anxiety moderates these relationships, diminishing the strength of trust and satisfaction in driving adoption. This finding highlights the importance of addressing psychological resistance in conjunction with the deployment of technology. By offering a dual-theoretical lens and empirical validation, this research contributes to the emerging literature on Gen-AI adoption, providing actionable insights for practitioners seeking to integrate ChatGPT into their supply chain operations.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3817-3831"},"PeriodicalIF":5.2,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073163","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 : 2025-09-04DOI: 10.1109/TEM.2025.3605820
Fahimeh Chomachaei
This study examines the impact of the emergence and growth of ride-hailing platforms in the U.S. on the financial performance of automobile manufacturers. Utilizing panel data from 11 major U.S. automobile manufacturers spanning from 2002 to 2019, we measure the growth of ride-hailing platforms based on the annual revenues of the two leading companies in this sector, Uber and Lyft. Our study shifts the focus from the impact of ride-hailing platforms on consumer vehicle purchase behavior to their effect on automobile manufacturers. Through the application of fixed-effect methodology in our study, we find that the growth of ride-hailing platforms positively influences the financial performance of automobile manufacturers by boosting their production volumes. Our findings offer initial evidence that automobile manufacturers can derive significant benefits from the rise of ride-hailing platforms. Moreover, these platforms could collaborate with automobile manufacturers to create incentives for consumers to purchase new vehicles. This study contributes to the understanding of how digital transformation in the form of ride-hailing services can reshape traditional industries and stimulate economic opportunities in the automobile sector.
{"title":"The Effect of Ride-Hailing Platforms on the Automobile Industry in the United States: An Empirical Study","authors":"Fahimeh Chomachaei","doi":"10.1109/TEM.2025.3605820","DOIUrl":"https://doi.org/10.1109/TEM.2025.3605820","url":null,"abstract":"This study examines the impact of the emergence and growth of ride-hailing platforms in the U.S. on the financial performance of automobile manufacturers. Utilizing panel data from 11 major U.S. automobile manufacturers spanning from 2002 to 2019, we measure the growth of ride-hailing platforms based on the annual revenues of the two leading companies in this sector, Uber and Lyft. Our study shifts the focus from the impact of ride-hailing platforms on consumer vehicle purchase behavior to their effect on automobile manufacturers. Through the application of fixed-effect methodology in our study, we find that the growth of ride-hailing platforms positively influences the financial performance of automobile manufacturers by boosting their production volumes. Our findings offer initial evidence that automobile manufacturers can derive significant benefits from the rise of ride-hailing platforms. Moreover, these platforms could collaborate with automobile manufacturers to create incentives for consumers to purchase new vehicles. This study contributes to the understanding of how digital transformation in the form of ride-hailing services can reshape traditional industries and stimulate economic opportunities in the automobile sector.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3952-3966"},"PeriodicalIF":5.2,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145141591","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 : 2025-09-04DOI: 10.1109/TEM.2025.3606352
Arjun Kadian;Mohammad I. Merhi;Manjul Gupta;Arman Ghafoori;Denis Dennehy
The use of generative artificial intelligence (AI) has increased drastically in recent years, offering transformative potential in creativity, productivity, and decision-making across various domains. However, concerns are growing among practitioners and academics about its tendency to produce inaccurate or nonsensical outputs—a phenomenon known as generative AI hallucinations. While scholars have begun exploring this phenomenon, most of the existing research focuses on technical issues and solutions. This research takes a behavioral approach to examine the association between individual personality traits and tolerance of generative AI hallucinations. Drawing on error management theory and the big five personality traits, we examine how individuals with different personality traits tolerate generative AI hallucinations. The study contributes to calls from management journals to investigate the challenges associated with generative AI use. Our findings provide important theoretical implications and offer actionable insights for engineering managers seeking to implement generative AI.
{"title":"I Can’t Take This Anymore! Understanding the Relationship Between Personality Traits and Tolerance of Generative AI Hallucinations","authors":"Arjun Kadian;Mohammad I. Merhi;Manjul Gupta;Arman Ghafoori;Denis Dennehy","doi":"10.1109/TEM.2025.3606352","DOIUrl":"https://doi.org/10.1109/TEM.2025.3606352","url":null,"abstract":"The use of generative artificial intelligence (AI) has increased drastically in recent years, offering transformative potential in creativity, productivity, and decision-making across various domains. However, concerns are growing among practitioners and academics about its tendency to produce inaccurate or nonsensical outputs—a phenomenon known as generative AI hallucinations. While scholars have begun exploring this phenomenon, most of the existing research focuses on technical issues and solutions. This research takes a behavioral approach to examine the association between individual personality traits and tolerance of generative AI hallucinations. Drawing on error management theory and the big five personality traits, we examine how individuals with different personality traits tolerate generative AI hallucinations. The study contributes to calls from management journals to investigate the challenges associated with generative AI use. Our findings provide important theoretical implications and offer actionable insights for engineering managers seeking to implement generative AI.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3864-3876"},"PeriodicalIF":5.2,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145110272","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 investigates the role of digital technologies as circular economy enablers. We review extant literature to identify 15 digital technologies and characterize their enabling role along two dimensions: functions and circular product lifecycle. An exploratory empirical analysis has been conducted, leveraging a large sample of cases, to investigate the role of digital technologies in enabling circularity through those two dimensions. As a result, we develop our novel integrative framework that illustrates how each digital technology enables distinct functions along the product lifecycle. The integrative framework shows 131 examples of widely implemented best practices and provides a comprehensive vision of the functions that each digital technology enables along the whole product lifecycle. Among the others, we find that a broader set of digital technologies enables two functions, namely connect and optimize. We contribute to the academic debate in the nexus between circularity and digital technologies and we urge scholars to deploy the lens of the functions and a comprehensive perspective over the product lifecycle to fully understand the potentialities offered by digital technologies to achieve circularity. Our integrative framework represents a compass to managers striving to understand how to leverage digital technologies to implement circular economy.
{"title":"Digital Technologies as Enablers of Circular Economy: An Exploratory Analysis of Functions and Product Lifecycle","authors":"Lucrezia Sgambaro;Davide Chiaroni;Federico Frattini","doi":"10.1109/TEM.2025.3605250","DOIUrl":"https://doi.org/10.1109/TEM.2025.3605250","url":null,"abstract":"This article investigates the role of digital technologies as circular economy enablers. We review extant literature to identify 15 digital technologies and characterize their enabling role along two dimensions: functions and circular product lifecycle. An exploratory empirical analysis has been conducted, leveraging a large sample of cases, to investigate the role of digital technologies in enabling circularity through those two dimensions. As a result, we develop our novel integrative framework that illustrates how each digital technology enables distinct functions along the product lifecycle. The integrative framework shows 131 examples of widely implemented best practices and provides a comprehensive vision of the functions that each digital technology enables along the whole product lifecycle. Among the others, we find that a broader set of digital technologies enables two functions, namely <italic>connect</i> and <italic>optimize</i>. We contribute to the academic debate in the nexus between circularity and digital technologies and we urge scholars to deploy the lens of the functions and a comprehensive perspective over the product lifecycle to fully understand the potentialities offered by digital technologies to achieve circularity. Our integrative framework represents a compass to managers striving to understand how to leverage digital technologies to implement circular economy.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"4051-4066"},"PeriodicalIF":5.2,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210050","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 : 2025-09-01DOI: 10.1109/TEM.2025.3604850
Yu-Xin Feng;Bon-Gang Hwang
Various emerging technologies are attracting great attention and discussion these days, such as mixed reality headsets and ChatGPT. However, the associated risk perceptions remain underexplored, posing potential barriers to public acceptance and adoption. This study aims to systematically review the current research state on risk perception in the context of emerging technologies. A total of 403 articles were selected and analyzed to identify publication trends and key research themes. The analysis reveals a surge in scholarly interest from 2020 onward, with AI technology being the predominant focus of risk perception research. Key themes encompass the characteristics of technological risk perception, including its manifestations, determinants, and dimensions. It further examines the interaction between risk perception and emerging technologies. Based on the findings, research gaps and future research directions are proposed. This review advances the psychological understanding of emerging technologies by synthesizing fragmented research on risk perception. It will support the development of practical strategies for effective risk communication and responsible technology deployment.
{"title":"Charting the Unseen: A Systematic Review of Risk Perception in Emerging Technologies","authors":"Yu-Xin Feng;Bon-Gang Hwang","doi":"10.1109/TEM.2025.3604850","DOIUrl":"https://doi.org/10.1109/TEM.2025.3604850","url":null,"abstract":"Various emerging technologies are attracting great attention and discussion these days, such as mixed reality headsets and ChatGPT. However, the associated risk perceptions remain underexplored, posing potential barriers to public acceptance and adoption. This study aims to systematically review the current research state on risk perception in the context of emerging technologies. A total of 403 articles were selected and analyzed to identify publication trends and key research themes. The analysis reveals a surge in scholarly interest from 2020 onward, with AI technology being the predominant focus of risk perception research. Key themes encompass the characteristics of technological risk perception, including its manifestations, determinants, and dimensions. It further examines the interaction between risk perception and emerging technologies. Based on the findings, research gaps and future research directions are proposed. This review advances the psychological understanding of emerging technologies by synthesizing fragmented research on risk perception. It will support the development of practical strategies for effective risk communication and responsible technology deployment.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3832-3848"},"PeriodicalIF":5.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073435","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 : 2025-08-29DOI: 10.1109/TEM.2025.3604286
Siyu Li;Xing Shen;Lu Yang;Baofeng Huo
As products and services become increasingly complex, manufacturers need to communicate vision with their supply chain (SC) collaborators to effectively lead them and mobilize resources in SCs. This study proposes the concept of SC rich media vision communication, classifies it into internal, supplier, and customer rich media vision communication, and investigates their antecedents and performance consequences considering the moderating impacts of environmental dynamism. Using data collected from 200 Chinese manufacturers, we find that internal rich media vision communication positively affects supplier and customer rich media vision communication. All three types of rich media vision communication contribute to improved economic performance. Environmental dynamism strengthens the positive relationship between customer rich media vision communication and economic performance, but weakens the link between supplier rich media vision communication and economic performance. Additionally, long-term relationship orientation with supplier/customer enhances supplier/customer rich media vision communication, and team culture facilitates internal rich media vision communication. This research advances the understanding of communicating vision with SC collaborators by introducing the concept of SC rich media vision communication, identifying its internal and external drivers, evaluating its impact on economic performance, and clarifying its effect boundary.
{"title":"Painting a Rosy Picture? The Impact of Supply Chain Rich Media Vision Communication on Economic Performance: The Signaling Theory Perspective","authors":"Siyu Li;Xing Shen;Lu Yang;Baofeng Huo","doi":"10.1109/TEM.2025.3604286","DOIUrl":"https://doi.org/10.1109/TEM.2025.3604286","url":null,"abstract":"As products and services become increasingly complex, manufacturers need to communicate vision with their supply chain (SC) collaborators to effectively lead them and mobilize resources in SCs. This study proposes the concept of SC rich media vision communication, classifies it into internal, supplier, and customer rich media vision communication, and investigates their antecedents and performance consequences considering the moderating impacts of environmental dynamism. Using data collected from 200 Chinese manufacturers, we find that internal rich media vision communication positively affects supplier and customer rich media vision communication. All three types of rich media vision communication contribute to improved economic performance. Environmental dynamism strengthens the positive relationship between customer rich media vision communication and economic performance, but weakens the link between supplier rich media vision communication and economic performance. Additionally, long-term relationship orientation with supplier/customer enhances supplier/customer rich media vision communication, and team culture facilitates internal rich media vision communication. This research advances the understanding of communicating vision with SC collaborators by introducing the concept of SC rich media vision communication, identifying its internal and external drivers, evaluating its impact on economic performance, and clarifying its effect boundary.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3985-4005"},"PeriodicalIF":5.2,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210093","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 : 2025-08-29DOI: 10.1109/TEM.2025.3590299
Chandra S. Mishra
This study examines the relationship between firm innovativeness and acquisition frequency, considering the moderating roles of managerial ability and risk propensity. Innovative firms engage in acquisitions to integrate external knowledge. We refine this perspective further by proposing a curvilinear relationship, where excessive R&D intensity may reduce acquisition frequency due to high internalization costs and a reduced reliance on external innovations. Using a panel dataset of serial acquirers, we test the hypothesis that managerial ability strengthens the link between innovation and acquisitions, particularly in large firms where resource coordination is critical. In addition, we find that firms with higher managerial risk propensity are more likely to use acquisitions as a risk diversification strategy. Still, this effect weakens in highly leveraged firms where financial constraints limit acquisition activity. Our findings challenge the prevailing notion that firms deficient in research and development (R&D) dominate acquisition activities. The findings offer valuable managerial implications, guiding firms in balancing internal R&D investments with external acquisitions, optimizing managerial leadership for mergers and acquisitions success, and adapting acquisition strategies to dynamic industry conditions.
{"title":"Acquiring Growth: How Innovative Firms Leverage M&As for Competitive Advantage","authors":"Chandra S. Mishra","doi":"10.1109/TEM.2025.3590299","DOIUrl":"https://doi.org/10.1109/TEM.2025.3590299","url":null,"abstract":"This study examines the relationship between firm innovativeness and acquisition frequency, considering the moderating roles of managerial ability and risk propensity. Innovative firms engage in acquisitions to integrate external knowledge. We refine this perspective further by proposing a curvilinear relationship, where excessive R&D intensity may reduce acquisition frequency due to high internalization costs and a reduced reliance on external innovations. Using a panel dataset of serial acquirers, we test the hypothesis that managerial ability strengthens the link between innovation and acquisitions, particularly in large firms where resource coordination is critical. In addition, we find that firms with higher managerial risk propensity are more likely to use acquisitions as a risk diversification strategy. Still, this effect weakens in highly leveraged firms where financial constraints limit acquisition activity. Our findings challenge the prevailing notion that firms deficient in research and development (R&D) dominate acquisition activities. The findings offer valuable managerial implications, guiding firms in balancing internal R&D investments with external acquisitions, optimizing managerial leadership for mergers and acquisitions success, and adapting acquisition strategies to dynamic industry conditions.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"3633-3649"},"PeriodicalIF":5.2,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144918161","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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