Pub Date : 2024-10-15DOI: 10.1109/TEM.2024.3468928
Irem Dikmen;Joseph H. M. Tah;Guzide Atasoy
{"title":"Editorial Managing Risk and Complexity in Construction Projects With Digital Technologies","authors":"Irem Dikmen;Joseph H. M. Tah;Guzide Atasoy","doi":"10.1109/TEM.2024.3468928","DOIUrl":"https://doi.org/10.1109/TEM.2024.3468928","url":null,"abstract":"","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14878-14881"},"PeriodicalIF":4.6,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10719022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443025","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 : 2024-10-11DOI: 10.1109/TEM.2024.3478355
Emilia Lavi;Yoram Reich
The main goal of design is to create value. Recently, there has been a growing understanding that value extends beyond purely economic and technical factors and should embrace the multifaceted sociotechnical ecosystem. Studies discussing system value acknowledge its imperative role in design while observing the lack of a comprehensive value notion complying with the need. In this article, the primary objective is to propose a holistic multidomain system value model (SVM), targeted to be general and field agnostic, to be utilized as a decision-support tool. The generation of the model includes the synthesis of multiple, transcending engineering, data sources, system value ontology formulation, and design of a concise SVM. Aiming to be practical and generally applicable, the SVM is validated by focus groups and case studies, analyzing engineered systems along with policy-related decisions. The findings indicate that the suggested model enables systematic and time-efficient system value analysis, assisting in evaluating alternatives and unveiling differing attitudes. Used as a decision-making support tool, the SVM can transform the scope of discussions, expand the range of factors considered during alternatives comparison, and guide the way toward higher value outcomes.
{"title":"Supporting Decision Making in Value-Oriented Design: A Multidomain System Value Model","authors":"Emilia Lavi;Yoram Reich","doi":"10.1109/TEM.2024.3478355","DOIUrl":"https://doi.org/10.1109/TEM.2024.3478355","url":null,"abstract":"The main goal of design is to create value. Recently, there has been a growing understanding that value extends beyond purely economic and technical factors and should embrace the multifaceted sociotechnical ecosystem. Studies discussing system value acknowledge its imperative role in design while observing the lack of a comprehensive value notion complying with the need. In this article, the primary objective is to propose a holistic multidomain system value model (SVM), targeted to be general and field agnostic, to be utilized as a decision-support tool. The generation of the model includes the synthesis of multiple, transcending engineering, data sources, system value ontology formulation, and design of a concise SVM. Aiming to be practical and generally applicable, the SVM is validated by focus groups and case studies, analyzing engineered systems along with policy-related decisions. The findings indicate that the suggested model enables systematic and time-efficient system value analysis, assisting in evaluating alternatives and unveiling differing attitudes. Used as a decision-making support tool, the SVM can transform the scope of discussions, expand the range of factors considered during alternatives comparison, and guide the way toward higher value outcomes.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15084-15095"},"PeriodicalIF":4.6,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524159","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 : 2024-10-10DOI: 10.1109/TEM.2024.3477629
Mohsin Ali Soomro;Ali Nawaz Khan
This article investigates visionary leadership in the context of economic crises coupled with political strife. This article examines the visionary leaders’ influence through mediating and moderating role of digital transformation and organizational strategic flexibility, respectively, in developing organizational resilience. We test this model on data from construction sector small- and medium-sized enterprises (SMEs) in the developing economy's context. We have employed the lens of contingency theory to understand and explain the results. The collected data were analyzed on SPSS-23 and AMOS 23. Findings reveal that visionary leader would lead the organizational shift to digital transformation in economic crises in order to preserve resources and increase the efficiency of business operations. Results have further shown that digital transformation alone may not foster organizational resilience. Nevertheless, the relationship of digital transformation with resilience becomes more robust when an organization is endowed with high levels of strategic flexibility. Results also have shown that visionary leadership's influence over organizational resilience through digital transformation becomes stronger if organizations uphold strategic flexibility. This article includes valuable recommendations for SMEs to survive during economic crises and political instability and emphasizes the systematic approach when overcoming such issues to survive.
{"title":"Reimagining Resilience: Visionary Leadership, Digital Transformation, and Strategic Flexibility in Small and Medium Enterprises in Construction Sector","authors":"Mohsin Ali Soomro;Ali Nawaz Khan","doi":"10.1109/TEM.2024.3477629","DOIUrl":"https://doi.org/10.1109/TEM.2024.3477629","url":null,"abstract":"This article investigates visionary leadership in the context of economic crises coupled with political strife. This article examines the visionary leaders’ influence through mediating and moderating role of digital transformation and organizational strategic flexibility, respectively, in developing organizational resilience. We test this model on data from construction sector small- and medium-sized enterprises (SMEs) in the developing economy's context. We have employed the lens of contingency theory to understand and explain the results. The collected data were analyzed on SPSS-23 and AMOS 23. Findings reveal that visionary leader would lead the organizational shift to digital transformation in economic crises in order to preserve resources and increase the efficiency of business operations. Results have further shown that digital transformation alone may not foster organizational resilience. Nevertheless, the relationship of digital transformation with resilience becomes more robust when an organization is endowed with high levels of strategic flexibility. Results also have shown that visionary leadership's influence over organizational resilience through digital transformation becomes stronger if organizations uphold strategic flexibility. This article includes valuable recommendations for SMEs to survive during economic crises and political instability and emphasizes the systematic approach when overcoming such issues to survive.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15070-15083"},"PeriodicalIF":4.6,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524197","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}
In response to the dynamic and ever-changing landscape of supply chains, which are continually challenged by internal and external factors, there is a critical need for continuous adaptation, learning, and improvement. Historically, scholars have argued that traditional information systems lack the capacity to effectively support resilience strategies within supply chains. However, advancements in Industry 4.0 technologies may have shifted this paradigm. This article explores how enabling technologies (ET) can support the development of resilient operations at the supply chain level. To that end, a systematic literature review is combined with a multiple case study to understand how these technologies can support the development of elements of resilience. Three distinct sectors from different geographical locations were chosen for this study: an agri-food company in Brazil, a manufacturing firm in the food industry in Canada, and a logistics service provider in Italy. Integrating both theoretical insights and empirical findings leads to the formulation of a research framework, the primary contribution of this study, which serves as a resource for scholars and practitioners aiming to leverage ET to increase supply chain resilience. The article concludes with key findings and suggests avenues for future research.
{"title":"Enabling Technologies as a Support to Achieve Resilience in Supply Chain Operations","authors":"Enzo Domingos;Carla Pereira;Fabiano Armellini;Christophe Danjou;Francesco Facchini","doi":"10.1109/TEM.2024.3477946","DOIUrl":"https://doi.org/10.1109/TEM.2024.3477946","url":null,"abstract":"In response to the dynamic and ever-changing landscape of supply chains, which are continually challenged by internal and external factors, there is a critical need for continuous adaptation, learning, and improvement. Historically, scholars have argued that traditional information systems lack the capacity to effectively support resilience strategies within supply chains. However, advancements in Industry 4.0 technologies may have shifted this paradigm. This article explores how enabling technologies (ET) can support the development of resilient operations at the supply chain level. To that end, a systematic literature review is combined with a multiple case study to understand how these technologies can support the development of elements of resilience. Three distinct sectors from different geographical locations were chosen for this study: an agri-food company in Brazil, a manufacturing firm in the food industry in Canada, and a logistics service provider in Italy. Integrating both theoretical insights and empirical findings leads to the formulation of a research framework, the primary contribution of this study, which serves as a resource for scholars and practitioners aiming to leverage ET to increase supply chain resilience. The article concludes with key findings and suggests avenues for future research.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15292-15305"},"PeriodicalIF":4.6,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10713219","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600229","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 : 2024-10-09DOI: 10.1109/TEM.2024.3477508
Jinhong Kim;Youngjung Geum
With drastic changes in technology and its converging power in new product development, technology convergence has long been considered imperative in the innovation literature. Despite these efforts, previous articles neglected the importance of technology convergence in identifying promising technologies. To address this limitation, this article assumes that patents with high mediating power for subsequent technology convergence are likely to be promising. For this purpose, this article proposes the concept of convergence distance, which is measured by the differences in IPCs in backward and forward citations of patents, and defines it as the mediating power of technology convergence. Three indicators are defined: convergence distance, convergence intensity, and convergence diversity. Using these convergence-related indicators, we developed a machine-learning model to predict promising technologies. Consequently, the models with new evolution indicators outperformed the original models. Moreover, our suggested indicators turned out to be very important for predicting promising technologies, implying that the mediating power of technology convergence is very important for predicting future promising technologies and should be considered very significant for technology opportunity discovery.
{"title":"Identifying Promising Technologies Considering Technology Convergence: A Patent-Based Machine-Learning Approach","authors":"Jinhong Kim;Youngjung Geum","doi":"10.1109/TEM.2024.3477508","DOIUrl":"https://doi.org/10.1109/TEM.2024.3477508","url":null,"abstract":"With drastic changes in technology and its converging power in new product development, technology convergence has long been considered imperative in the innovation literature. Despite these efforts, previous articles neglected the importance of technology convergence in identifying promising technologies. To address this limitation, this article assumes that patents with high mediating power for subsequent technology convergence are likely to be promising. For this purpose, this article proposes the concept of convergence distance, which is measured by the differences in IPCs in backward and forward citations of patents, and defines it as the mediating power of technology convergence. Three indicators are defined: convergence distance, convergence intensity, and convergence diversity. Using these convergence-related indicators, we developed a machine-learning model to predict promising technologies. Consequently, the models with new evolution indicators outperformed the original models. Moreover, our suggested indicators turned out to be very important for predicting promising technologies, implying that the mediating power of technology convergence is very important for predicting future promising technologies and should be considered very significant for technology opportunity discovery.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15096-15109"},"PeriodicalIF":4.6,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524179","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 : 2024-10-09DOI: 10.1109/TEM.2024.3477493
Xide Zhu;Tao Wang;Gui-Hua Lin;Haiyang Cui
Numerous Internet platforms have amassed considerable profits through market dominance, thereby exhibiting monopolistic behaviors in specific instances. In response to ensuing protests and legal actions, these platforms have been compelled to restructure their prevailing single-rate revenue sharing schemes, adopting differential designs aimed at redistributing more revenue to suppliers. In this article, we construct a two-tier supply chain model encompassing a platform with a large supplier and numerous smaller suppliers under price competition. Our investigation establishes that, in contrast with the single-rate scheme, the implementation of a differential revenue sharing scheme can significantly alleviate the financial pressures faced by small suppliers and provides substantial profit increase. Under specific conditions, this scheme also demonstrates a propensity to enhance the overall welfare of the platform and large supplier. Moreover, we illustrate that the adoption of differential scheme incentivizes both large and small suppliers to formulate distinct pricing strategies in most cases, avoiding traditional price wars, thereby mitigating the direct and potential competitive pressures among suppliers. Notably, the differential scheme appears to impose constraints on the platform's ability to extract substantial profits, yet paradoxically facilitates increased revenue generation and sustains a balance between large and small suppliers, fostering the platform's long-term dominance.
{"title":"Differential Revenue Sharing in Platform Selling: A Framework Incorporating Pricing Decisions","authors":"Xide Zhu;Tao Wang;Gui-Hua Lin;Haiyang Cui","doi":"10.1109/TEM.2024.3477493","DOIUrl":"https://doi.org/10.1109/TEM.2024.3477493","url":null,"abstract":"Numerous Internet platforms have amassed considerable profits through market dominance, thereby exhibiting monopolistic behaviors in specific instances. In response to ensuing protests and legal actions, these platforms have been compelled to restructure their prevailing single-rate revenue sharing schemes, adopting differential designs aimed at redistributing more revenue to suppliers. In this article, we construct a two-tier supply chain model encompassing a platform with a large supplier and numerous smaller suppliers under price competition. Our investigation establishes that, in contrast with the single-rate scheme, the implementation of a differential revenue sharing scheme can significantly alleviate the financial pressures faced by small suppliers and provides substantial profit increase. Under specific conditions, this scheme also demonstrates a propensity to enhance the overall welfare of the platform and large supplier. Moreover, we illustrate that the adoption of differential scheme incentivizes both large and small suppliers to formulate distinct pricing strategies in most cases, avoiding traditional price wars, thereby mitigating the direct and potential competitive pressures among suppliers. Notably, the differential scheme appears to impose constraints on the platform's ability to extract substantial profits, yet paradoxically facilitates increased revenue generation and sustains a balance between large and small suppliers, fostering the platform's long-term dominance.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15057-15069"},"PeriodicalIF":4.6,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524181","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 : 2024-10-09DOI: 10.1109/TEM.2024.3478054
Longfei He;Runzhu Han;Lechang Hou;Xiaohang Yue
In low-carbon economy, governmental regulations and consumer eco-awareness significantly influence firms’ scheming of product architecture and channel mode as well as operations efficacy. Firms navigate these impacts by leveraging product line strategies to reconcile emission costs and market advantages in supply chains. This study delves into a low-carbon manufacturer–retailer supply chain, focusing on upstream emission reduction amid evolving consumer eco-awareness. Analyzing market segmentation and mass marketing product line approaches across varied channel setups, we uncover their distinct impacts on chain profitability and social welfare. Optimal pricing and strategic alignment criteria are identified for diverse product-line-channel blends. Manufacturer profit-prioritized decisions pivot on emission reduction, channel cost, consumer price sensitivity, and proportion of green consumers for self-interest optimization while social welfare oriented decisions depend on environmental awareness. We further conduct extension to analyze hybrid-channel scenarios, advising manufacturer's channel mode selection under either of two product line design strategies with managerial insights and implications. We show that it is substantial to pursue product line design through the lens of examining diverse channel configurations, which underlies the further pursuance of conditionally optimal matching between product line and channel mode. Our deployment of taking channel configuration as an endogenous dimension in attaining globally optimal product line design and its suited channel mode can enrich the understanding of product development and marketing intersection. Manufacturer can tailor strategies contingently on price competition intensity, emission-reduction-efficiency and consumer composition while policymakers may exploit our proposed analysis framework to scheme regulations for guiding firm behavior towards obtaining optimal social welfare.
{"title":"Product Line Design and Channel Configuration in Low-Carbon Supply Chains","authors":"Longfei He;Runzhu Han;Lechang Hou;Xiaohang Yue","doi":"10.1109/TEM.2024.3478054","DOIUrl":"https://doi.org/10.1109/TEM.2024.3478054","url":null,"abstract":"In low-carbon economy, governmental regulations and consumer eco-awareness significantly influence firms’ scheming of product architecture and channel mode as well as operations efficacy. Firms navigate these impacts by leveraging product line strategies to reconcile emission costs and market advantages in supply chains. This study delves into a low-carbon manufacturer–retailer supply chain, focusing on upstream emission reduction amid evolving consumer eco-awareness. Analyzing market segmentation and mass marketing product line approaches across varied channel setups, we uncover their distinct impacts on chain profitability and social welfare. Optimal pricing and strategic alignment criteria are identified for diverse product-line-channel blends. Manufacturer profit-prioritized decisions pivot on emission reduction, channel cost, consumer price sensitivity, and proportion of green consumers for self-interest optimization while social welfare oriented decisions depend on environmental awareness. We further conduct extension to analyze hybrid-channel scenarios, advising manufacturer's channel mode selection under either of two product line design strategies with managerial insights and implications. We show that it is substantial to pursue product line design through the lens of examining diverse channel configurations, which underlies the further pursuance of conditionally optimal matching between product line and channel mode. Our deployment of taking channel configuration as an endogenous dimension in attaining globally optimal product line design and its suited channel mode can enrich the understanding of product development and marketing intersection. Manufacturer can tailor strategies contingently on price competition intensity, emission-reduction-efficiency and consumer composition while policymakers may exploit our proposed analysis framework to scheme regulations for guiding firm behavior towards obtaining optimal social welfare.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"78-95"},"PeriodicalIF":4.6,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938224","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 : 2024-10-09DOI: 10.1109/TEM.2024.3476917
Ana Asensio-Ciria;Carmen De-Pablos-Heredero;Francisco José Blanco Jiménez;José Luis Montes Botella;Antón García Martínez
This article quantifies the relationships among the different phases of the business incubation process. A total of 89 surveys coming from business incubators in Spain in the period 2022–2023 have been collected. A structural equation model (SEM) is applied to determine the association among incubation phases 1, 2, 3, and 4. The results show that the “spreading entrepreneurship” phase has a strongly positive significative influence on preincubation, phases 1 and 2 (hypothesis 1) basic incubation, phase 3 (hypothesis 4), and advanced incubation phase 4 (hypothesis 5). Besides, a moderate positive influence was found between preincubation and basic incubation (hypothesis 2) and between preincubation and advanced incubation (hypothesis 6). In this context, spreading entrepreneurship will be a useful tool to determine the success of entrepreneurship during the incubation process. Improving variables, such as counseling, channels, and training, will positively impact incubation. Therefore, taking action at the spreading entrepreneurship stage to improve the business incubator results and evaluate the structural deficiencies of entrepreneurs to improve their training level and technicians’ specialization is recommended. Applying SEM models in business incubators to evaluate their influence on graduation rates will also be of great interest.
{"title":"Relationship Among the Startup Incubation Process Phases: A Structural Equation Model","authors":"Ana Asensio-Ciria;Carmen De-Pablos-Heredero;Francisco José Blanco Jiménez;José Luis Montes Botella;Antón García Martínez","doi":"10.1109/TEM.2024.3476917","DOIUrl":"https://doi.org/10.1109/TEM.2024.3476917","url":null,"abstract":"This article quantifies the relationships among the different phases of the business incubation process. A total of 89 surveys coming from business incubators in Spain in the period 2022–2023 have been collected. A structural equation model (SEM) is applied to determine the association among incubation phases 1, 2, 3, and 4. The results show that the “spreading entrepreneurship” phase has a strongly positive significative influence on preincubation, phases 1 and 2 (hypothesis 1) basic incubation, phase 3 (hypothesis 4), and advanced incubation phase 4 (hypothesis 5). Besides, a moderate positive influence was found between preincubation and basic incubation (hypothesis 2) and between preincubation and advanced incubation (hypothesis 6). In this context, spreading entrepreneurship will be a useful tool to determine the success of entrepreneurship during the incubation process. Improving variables, such as counseling, channels, and training, will positively impact incubation. Therefore, taking action at the spreading entrepreneurship stage to improve the business incubator results and evaluate the structural deficiencies of entrepreneurs to improve their training level and technicians’ specialization is recommended. Applying SEM models in business incubators to evaluate their influence on graduation rates will also be of great interest.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15141-15155"},"PeriodicalIF":4.6,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10710139","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565633","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 : 2024-10-03DOI: 10.1109/TEM.2024.3472292
Fan Yang;Mohammad Zoynul Abedin;Yanan Qiao;Lvyang Ye
Digital platforms are experiencing a growing presence of generative artificial intelligence (AI) content, raising concerns due to the prevalence of misinformation that disrupts market integrity. Consequently, the development of effective regulatory measures for overseeing generative AI content becomes imperative. This necessitates the establishment of mechanisms to detect and filter out inaccuracies, ensuring compliance with regulatory requirements. In addition, collaboration among experts, regulators, and AI developers is essential to encourage responsible AI deployment on digital platforms. Successful governance hinges on principles of transparency, accountability, and proactive risk management to navigate the evolving generative AI on digital platforms. Therefore, in order to address the security issues currently faced by artificial intelligence generated content (AIGC), this article first proposes a method of efficient cache mechanism for AIGC content. The secure method of determining the identity of AIGC content owners is proposed based on blockchain technology. Subsequently, it suggests mechanisms for access control and data encryption for generated content within a blockchain environment. Finally, it presents an efficient data supervision mechanism tailored to the AIGC environment. The methods outlined in this article aim to enhance security from three perspectives: protection of content creators' identities, safeguarding data security, and ensuring effective data supervision within the AIGC framework. The experimental results further confirm that our proposed method not only ensures the security of the AIGC framework but also provides an efficient data analysis and supervision solution for digital platforms.
{"title":"Toward Trustworthy Governance of AI-Generated Content (AIGC): A Blockchain-Driven Regulatory Framework for Secure Digital Ecosystems","authors":"Fan Yang;Mohammad Zoynul Abedin;Yanan Qiao;Lvyang Ye","doi":"10.1109/TEM.2024.3472292","DOIUrl":"https://doi.org/10.1109/TEM.2024.3472292","url":null,"abstract":"Digital platforms are experiencing a growing presence of generative artificial intelligence (AI) content, raising concerns due to the prevalence of misinformation that disrupts market integrity. Consequently, the development of effective regulatory measures for overseeing generative AI content becomes imperative. This necessitates the establishment of mechanisms to detect and filter out inaccuracies, ensuring compliance with regulatory requirements. In addition, collaboration among experts, regulators, and AI developers is essential to encourage responsible AI deployment on digital platforms. Successful governance hinges on principles of transparency, accountability, and proactive risk management to navigate the evolving generative AI on digital platforms. Therefore, in order to address the security issues currently faced by artificial intelligence generated content (AIGC), this article first proposes a method of efficient cache mechanism for AIGC content. The secure method of determining the identity of AIGC content owners is proposed based on blockchain technology. Subsequently, it suggests mechanisms for access control and data encryption for generated content within a blockchain environment. Finally, it presents an efficient data supervision mechanism tailored to the AIGC environment. The methods outlined in this article aim to enhance security from three perspectives: protection of content creators' identities, safeguarding data security, and ensuring effective data supervision within the AIGC framework. The experimental results further confirm that our proposed method not only ensures the security of the AIGC framework but also provides an efficient data analysis and supervision solution for digital platforms.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14945-14962"},"PeriodicalIF":4.6,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142450826","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 : 2024-10-03DOI: 10.1109/TEM.2024.3473288
Anas Iftikhar;Imran Ali;Ismail Golgeci;Mark Stevenson
The literature on supply chain complexity (SCC) has traditionally focused on its negative aspects, such as increased vulnerability to disruption. However, in this article, we take a different perspective, exploring the potential for SCC to trigger positive outcomes, such as enhanced supply chain viability (SCV). Informed by the dynamic capabilities view, we delve into the relationship between SCC and SCV, and how this is influenced by strategic information flow (SIF) and network capability (NC). Survey data from 242 firms are collected to examine hypothesized relationships. The data are analyzed using the partial least squares structural equation modeling technique. The findings reveal that exposure to SCC significantly indirectly influences SCV via both SIF and NC. Investigation of the serial mediation pathway (SCC → SIF → NC → SCV) indicates a partial mediation effect. This suggests that, while both mediators (SIF and NC) can independently enhance SCV, their combined sequential influence can synergistically offer additional advantages to achieving SCV. These findings provide a new perspective on SCC and guide managers and policymakers in establishing SCV in the face of SCC. For example, our findings suggest that investing in both NC and SIF enhances SCV more effectively than investing in either one alone.
{"title":"Embracing Supply Chain Complexity for Enhanced Viability: The Influence of Strategic Information Flow and Network Capability","authors":"Anas Iftikhar;Imran Ali;Ismail Golgeci;Mark Stevenson","doi":"10.1109/TEM.2024.3473288","DOIUrl":"https://doi.org/10.1109/TEM.2024.3473288","url":null,"abstract":"The literature on supply chain complexity (SCC) has traditionally focused on its negative aspects, such as increased vulnerability to disruption. However, in this article, we take a different perspective, exploring the potential for SCC to trigger positive outcomes, such as enhanced supply chain viability (SCV). Informed by the dynamic capabilities view, we delve into the relationship between SCC and SCV, and how this is influenced by strategic information flow (SIF) and network capability (NC). Survey data from 242 firms are collected to examine hypothesized relationships. The data are analyzed using the partial least squares structural equation modeling technique. The findings reveal that exposure to SCC significantly indirectly influences SCV via both SIF and NC. Investigation of the serial mediation pathway (SCC → SIF → NC → SCV) indicates a partial mediation effect. This suggests that, while both mediators (SIF and NC) can independently enhance SCV, their combined sequential influence can synergistically offer additional advantages to achieving SCV. These findings provide a new perspective on SCC and guide managers and policymakers in establishing SCV in the face of SCC. For example, our findings suggest that investing in both NC and SIF enhances SCV more effectively than investing in either one alone.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14963-14973"},"PeriodicalIF":4.6,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524096","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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