Pub Date : 2024-09-11DOI: 10.1109/TEM.2024.3458151
Xinfang Zhang;Chengliang Liu;Yan Peng
An international logistics hub (ILH) is an important component of the modern integrated logistics system, and its location selection has always been a hot topic in logistics management. In this article, we aim in developing a two-phase location framework to determine the most preferred ILHs in the logistics network. First, a revised fuzzy C-means clustering algorithm is proposed to identify candidate ILHs from the perspective of microlevel evaluation. The evaluation index system is constructed by the proposed index screening model. Second, an adaptive gravity p -median model is established to determine optimal ILHs and freight flow allocations from a macroplanning perspective. The optimization model takes into account the attractiveness of nodes, the distribution of logistics demand, and the total transportation cost between nodes in the network. Finally, the two-phase approach is applied to the location of ILHs in the Yangtze River Delta (YRD), China. Results show that five alternative locations are identified from 27 cities, and four optimal ILHs (Shanghai, Suzhou, Hangzhou, Ningbo) are determined from five candidate ILHs. The freight flow distribution shows that the share transshipped through them is 33.05%, 26.81%, 22.59%, and 17.55%, respectively. Furthermore, the optimized hub location in the case study is consistent with the practice situation in the YRD. These results illustrate the applicability and feasibility of the proposed two-phase approach for the logistics hub location. We also provide insights for planning logistics hubs and optimizing transportation networks in the YRD from the perspectives of megalopolis and national levels.
{"title":"Two-Phase Approach to International Logistics Hub Location: The Case of Yangtze River Delta","authors":"Xinfang Zhang;Chengliang Liu;Yan Peng","doi":"10.1109/TEM.2024.3458151","DOIUrl":"https://doi.org/10.1109/TEM.2024.3458151","url":null,"abstract":"An international logistics hub (ILH) is an important component of the modern integrated logistics system, and its location selection has always been a hot topic in logistics management. In this article, we aim in developing a two-phase location framework to determine the most preferred ILHs in the logistics network. First, a revised fuzzy C-means clustering algorithm is proposed to identify candidate ILHs from the perspective of microlevel evaluation. The evaluation index system is constructed by the proposed index screening model. Second, an adaptive gravity \u0000<italic>p</i>\u0000-median model is established to determine optimal ILHs and freight flow allocations from a macroplanning perspective. The optimization model takes into account the attractiveness of nodes, the distribution of logistics demand, and the total transportation cost between nodes in the network. Finally, the two-phase approach is applied to the location of ILHs in the Yangtze River Delta (YRD), China. Results show that five alternative locations are identified from 27 cities, and four optimal ILHs (Shanghai, Suzhou, Hangzhou, Ningbo) are determined from five candidate ILHs. The freight flow distribution shows that the share transshipped through them is 33.05%, 26.81%, 22.59%, and 17.55%, respectively. Furthermore, the optimized hub location in the case study is consistent with the practice situation in the YRD. These results illustrate the applicability and feasibility of the proposed two-phase approach for the logistics hub location. We also provide insights for planning logistics hubs and optimizing transportation networks in the YRD from the perspectives of megalopolis and national levels.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14621-14639"},"PeriodicalIF":4.6,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320396","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 : 2024-09-10DOI: 10.1109/TEM.2024.3454169
Mostafa Al-Emran;Bassam Abu-Hijleh;AbdulRahman A. Alsewari
The swift progress of generative artificial intelligence (AI) tools offers remarkable potential for revolutionizing educational methods and enhancing social sustainability. Despite its potential, understanding the factors driving its adoption and how that affects social sustainability remains underexplored. This study aims to address this gap by integrating AI attributes (“perceived anthropomorphism,” “perceived intelligence,” and “perceived animacy”) with the theory of planned behavior and the technology-environmental, economic, and social sustainability theory (T-EESST) to develop a theoretical research model. Utilizing a hybrid structural equation modeling and artificial neural network approach, we analyzed data collected from 1048 university students to evaluate the developed model. Our findings revealed that while perceived behavioral control has an insignificant impact on generative AI use, attitudes emerge as the most critical factor, further reinforced by the significant role of subjective norms. Perceived anthropomorphism, perceived intelligence, and perceived animacy were also found to influence students’ attitudes significantly. More importantly, the findings supported the role of generative AI in positively affecting social sustainability, aligning with the principles of T-EESST. This study's significance lies in its holistic examination of the interplay between technological attributes, motivational aspects, and sustainability outcomes, offering valuable insights for various stakeholders.
{"title":"Exploring the Effect of Generative AI on Social Sustainability Through Integrating AI Attributes, TPB, and T-EESST: A Deep Learning-Based Hybrid SEM-ANN Approach","authors":"Mostafa Al-Emran;Bassam Abu-Hijleh;AbdulRahman A. Alsewari","doi":"10.1109/TEM.2024.3454169","DOIUrl":"https://doi.org/10.1109/TEM.2024.3454169","url":null,"abstract":"The swift progress of generative artificial intelligence (AI) tools offers remarkable potential for revolutionizing educational methods and enhancing social sustainability. Despite its potential, understanding the factors driving its adoption and how that affects social sustainability remains underexplored. This study aims to address this gap by integrating AI attributes (“perceived anthropomorphism,” “perceived intelligence,” and “perceived animacy”) with the theory of planned behavior and the technology-environmental, economic, and social sustainability theory (T-EESST) to develop a theoretical research model. Utilizing a hybrid structural equation modeling and artificial neural network approach, we analyzed data collected from 1048 university students to evaluate the developed model. Our findings revealed that while perceived behavioral control has an insignificant impact on generative AI use, attitudes emerge as the most critical factor, further reinforced by the significant role of subjective norms. Perceived anthropomorphism, perceived intelligence, and perceived animacy were also found to influence students’ attitudes significantly. More importantly, the findings supported the role of generative AI in positively affecting social sustainability, aligning with the principles of T-EESST. This study's significance lies in its holistic examination of the interplay between technological attributes, motivational aspects, and sustainability outcomes, offering valuable insights for various stakeholders.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14512-14524"},"PeriodicalIF":4.6,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274919","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 : 2024-09-10DOI: 10.1109/TEM.2024.3456604
Abhyudaya Anand Mishra;Devendra Kumar Pathak
The growing interest for Industry 4.0 Technologies (I4T) adoption and a pressing need for sustainability integration have witnessed the attention of human resource management (HRM) practitioners and researchers alike. Therefore, this study attempts to propose a unified model for I4T adoption and sustainability integration in HRM. Underscoring the importance of “people dimension” in HRM context, this study proposes an extended technology-organizational-environmental (TOE) (i.e., TOE dimensions along with “people dimension”) framework to identify enablers that facilitate I4T adoption and sustainability integration in HRM. Moreover, this study delineates the interrelationships among the identified enablers by employing total interpretive structural modeling (TISM) methodology and eventually proposes a seven-level hierarchical model. MICMAC analysis is carried out to classify these enablers based on their driving power and dependence. The findings reveal that enablers under “environmental dimension” attain highest driving power followed by enablers under “organizational,” “technological,” and “people” dimensions. To ensure the robustness of the proposed model, hypothesis testing (through t -test) is utilized to validate all direct and significant transitive links. The findings of this research should assist practitioners and scholars in understanding and managing the crucial enablers of Industry 4.0 technologies led sustainable HRM. Managerial Relevance Statement: This study assists practitioners in identifying the decisive enablers that facilitate I4T adoption and sustainability integration in HRM. This study highlights the significance of the extended TOE framework, and the identified 17 decisive enablers are categorized under technological, organizational, environmental, and people (TOEP) dimensions. By utilizing the TISM-based hierarchical model developed in this study, practitioners predominantly need to emphasize on the key enablers (i.e., enablers under environmental and organizational dimensions) that drive the entire hierarchical model for achieving Industry 4.0 technologies-led sustainable HRM. Moreover, this study highlights the significance of the “people dimension” for I4T adoption and guides HR professionals to also emphasize on enablers under the “people dimension” while implementing I4T and sustainability in organizations. Managers can utilize the proposed TOEP framework for technology adoption in other people-centric domains.
{"title":"Industry 4.0 Technologies Adoption and Sustainability Integration in Human Resource Management: An Analysis Using Extended TOE Framework and TISM","authors":"Abhyudaya Anand Mishra;Devendra Kumar Pathak","doi":"10.1109/TEM.2024.3456604","DOIUrl":"https://doi.org/10.1109/TEM.2024.3456604","url":null,"abstract":"The growing interest for Industry 4.0 Technologies (I4T) adoption and a pressing need for sustainability integration have witnessed the attention of human resource management (HRM) practitioners and researchers alike. Therefore, this study attempts to propose a unified model for I4T adoption and sustainability integration in HRM. Underscoring the importance of “people dimension” in HRM context, this study proposes an extended technology-organizational-environmental (TOE) (i.e., TOE dimensions along with “people dimension”) framework to identify enablers that facilitate I4T adoption and sustainability integration in HRM. Moreover, this study delineates the interrelationships among the identified enablers by employing total interpretive structural modeling (TISM) methodology and eventually proposes a seven-level hierarchical model. MICMAC analysis is carried out to classify these enablers based on their driving power and dependence. The findings reveal that enablers under “environmental dimension” attain highest driving power followed by enablers under “organizational,” “technological,” and “people” dimensions. To ensure the robustness of the proposed model, hypothesis testing (through \u0000<italic>t</i>\u0000-test) is utilized to validate all direct and significant transitive links. The findings of this research should assist practitioners and scholars in understanding and managing the crucial enablers of Industry 4.0 technologies led sustainable HRM. \u0000<italic>Managerial Relevance Statement:</i>\u0000 This study assists practitioners in identifying the decisive enablers that facilitate I4T adoption and sustainability integration in HRM. This study highlights the significance of the extended TOE framework, and the identified 17 decisive enablers are categorized under technological, organizational, environmental, and people (TOEP) dimensions. By utilizing the TISM-based hierarchical model developed in this study, practitioners predominantly need to emphasize on the key enablers (i.e., enablers under environmental and organizational dimensions) that drive the entire hierarchical model for achieving Industry 4.0 technologies-led sustainable HRM. Moreover, this study highlights the significance of the “people dimension” for I4T adoption and guides HR professionals to also emphasize on enablers under the “people dimension” while implementing I4T and sustainability in organizations. Managers can utilize the proposed TOEP framework for technology adoption in other people-centric domains.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14688-14703"},"PeriodicalIF":4.6,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359724","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 : 2024-09-10DOI: 10.1109/TEM.2024.3456820
Elias G. Carayannis;Roman Dumitrescu;Tommy Falkowski;Nikos-Rigert Zota
This study investigates how generative artificial intelligence (Gen AI) can enhance the resilience and competitiveness of small and medium enterprises (SMEs). The central question addressed is: How can SMEs leverage Gen AI to navigate challenges and capitalize on opportunities in an evolving digital landscape? We argue that Gen AI offers transformative potential for SMEs by automating processes, enhancing decision-making and fostering innovation, thereby improving their ability to adapt and thrive amidst market uncertainties. Through a comprehensive analysis of SMEs and Gen AI, this article underscores the importance of strategic AI integration, addresses the associated challenges, and provides policy recommendations to support SMEs in harnessing AI for sustainable growth. By exploring real-world examples and theoretical insights, we aim to equip SMEs with the directions, actions, and strategies necessary to succeed in the Gen AI era.
{"title":"Empowering SMEs “Harnessing the Potential of Gen AI for Resilience and Competitiveness”","authors":"Elias G. Carayannis;Roman Dumitrescu;Tommy Falkowski;Nikos-Rigert Zota","doi":"10.1109/TEM.2024.3456820","DOIUrl":"https://doi.org/10.1109/TEM.2024.3456820","url":null,"abstract":"This study investigates how generative artificial intelligence (Gen AI) can enhance the resilience and competitiveness of small and medium enterprises (SMEs). The central question addressed is: How can SMEs leverage Gen AI to navigate challenges and capitalize on opportunities in an evolving digital landscape? We argue that Gen AI offers transformative potential for SMEs by automating processes, enhancing decision-making and fostering innovation, thereby improving their ability to adapt and thrive amidst market uncertainties. Through a comprehensive analysis of SMEs and Gen AI, this article underscores the importance of strategic AI integration, addresses the associated challenges, and provides policy recommendations to support SMEs in harnessing AI for sustainable growth. By exploring real-world examples and theoretical insights, we aim to equip SMEs with the directions, actions, and strategies necessary to succeed in the Gen AI era.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14754-14774"},"PeriodicalIF":4.6,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142368311","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 : 2024-09-09DOI: 10.1109/TEM.2024.3453595
Sambit Brata Rath;Preetam Basu;Tsan-Ming Choi;Prasenjit Mandal
Traditionally, in supply chain management, manufacturers such as Hewlett-Packard and Procter&Gamble fund their downstream retailers through trade credit financing (TCF). Recently, with the advance of FinTech, platforms have also implemented innovative financing schemes called platform credit financing (PCF). Both TCF and PCF are risky, which expose the lender to operational risks. Motivated by these real-world practices, we model a three-echelon supply chain in which a capital-constrained retailer, exposed to operational risk, orders from the manufacturer and sells on an online platform. We explore TCF and PCF, and determine the retailer's optimal financing options based on her operational risk and the platform's referral fee for the product category. Our results show that PCF becomes profitable for all three entities when the retailer's operational risk level is high. This result justifies the successful adoption of PCF under a high operational risk scenario where it becomes challenging for the retailer to obtain financing through traditional modes. We also find that TCF may achieve a win-win-win outcome in the presence of a loss-averse lender or in the partial demand fulfillment scenario. To derive more insights and check for the robustness of core findings, we examine several extended cases.
{"title":"FinTech for Supply Chain Operations: Platform Credit Financing","authors":"Sambit Brata Rath;Preetam Basu;Tsan-Ming Choi;Prasenjit Mandal","doi":"10.1109/TEM.2024.3453595","DOIUrl":"https://doi.org/10.1109/TEM.2024.3453595","url":null,"abstract":"Traditionally, in supply chain management, manufacturers such as \u0000<italic>Hewlett-Packard</i>\u0000 and \u0000<italic>Procter&Gamble</i>\u0000 fund their downstream retailers through \u0000<italic>trade credit financing</i>\u0000 (TCF). Recently, with the advance of FinTech, platforms have also implemented innovative financing schemes called \u0000<italic>platform credit financing</i>\u0000 (PCF). Both TCF and PCF are risky, which expose the lender to operational risks. Motivated by these real-world practices, we model a three-echelon supply chain in which a capital-constrained retailer, exposed to operational risk, orders from the manufacturer and sells on an online platform. We explore TCF and PCF, and determine the retailer's optimal financing options based on her operational risk and the platform's referral fee for the product category. Our results show that PCF becomes profitable for all three entities when the retailer's operational risk level is high. This result justifies the successful adoption of PCF under a high operational risk scenario where it becomes challenging for the retailer to obtain financing through traditional modes. We also find that TCF may achieve a win-win-win outcome in the presence of a loss-averse lender or in the partial demand fulfillment scenario. To derive more insights and check for the robustness of core findings, we examine several extended cases.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14789-14806"},"PeriodicalIF":4.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434642","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 : 2024-09-09DOI: 10.1109/TEM.2024.3456136
Weiwei Liu;Jingyi Yao;Kexin Bi
Technology opportunity analysis is an important prerequisite for the successful implementation of technological innovation activities, which is not only the basis for obtaining the initiative of innovation but also the key to occupying the technological heights of the industry. Therefore, in this article, we propose a framework that serves the monitoring of development opportunities in a specific technology field. Unlike the current alternatives, the proposed approach considers the attributes of the patent itself. On the one hand, invalid patents are integrated into the study by contrasting their R&D trends with those of valid patents. On the other hand, the contribution of a single patent to a particular technology is taken into consideration by the construction of the patent value evaluation system. The framework introduces the latent Dirichlet allocation model to identify the technology topics involved in the patent. Then, a 3-D indicator system, including technical, legal, and economic dimensions, is constructed to evaluate the importance of patents. Finally, a measure for dividing the life cycle of a technology topic is proposed to visualize the trend of each technology topic. The result is a more holistic and richer landscape covering the entire life cycle of the targeted technology, from emerging to declining. A case study specializing in global carbon capture, utilization, and storage technology demonstrates this approach. The results of the analysis are highly consistent with current technology trends, suggesting that the method could serve as a useful reference tool for discovering technology opportunities and defining new R&D strategies.
{"title":"Exploiting the Potential of Invalid Patents as a Source of Technology Opportunities: Evidence From CCUS Technology","authors":"Weiwei Liu;Jingyi Yao;Kexin Bi","doi":"10.1109/TEM.2024.3456136","DOIUrl":"https://doi.org/10.1109/TEM.2024.3456136","url":null,"abstract":"Technology opportunity analysis is an important prerequisite for the successful implementation of technological innovation activities, which is not only the basis for obtaining the initiative of innovation but also the key to occupying the technological heights of the industry. Therefore, in this article, we propose a framework that serves the monitoring of development opportunities in a specific technology field. Unlike the current alternatives, the proposed approach considers the attributes of the patent itself. On the one hand, invalid patents are integrated into the study by contrasting their R&D trends with those of valid patents. On the other hand, the contribution of a single patent to a particular technology is taken into consideration by the construction of the patent value evaluation system. The framework introduces the latent Dirichlet allocation model to identify the technology topics involved in the patent. Then, a 3-D indicator system, including technical, legal, and economic dimensions, is constructed to evaluate the importance of patents. Finally, a measure for dividing the life cycle of a technology topic is proposed to visualize the trend of each technology topic. The result is a more holistic and richer landscape covering the entire life cycle of the targeted technology, from emerging to declining. A case study specializing in global carbon capture, utilization, and storage technology demonstrates this approach. The results of the analysis are highly consistent with current technology trends, suggesting that the method could serve as a useful reference tool for discovering technology opportunities and defining new R&D strategies.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14571-14589"},"PeriodicalIF":4.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320399","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}
Risks and resulting propagating accidents pose considerable threats to the stability of project portfolio network (PPN). To maintain PPN stability, a PPN risk propagation model considering risk perception is constructed. First, a PPN is developed to concurrently visualize the risk propagation paths and the risk perception diffusion paths. Second, modifications to the disaster spreading model are made to construct the PPN risk propagation model supporting more realistic simulations. The model is then applied to numerical simulations, yielding risk propagation mitigation measures. The results suggest that risk mitigation is facilitated by increased trust among project managers, moderate differences in initial project manager risk perceptions, a homogeneous PPN topology, and a tendency to allocate recovery resources based on node degree centrality. These findings guide enterprise administrators in risk decision-making, contributing to stable PPN operations.
{"title":"Project Portfolio Network Risk Propagation Modeling: A Risk Perception Perspective","authors":"Libiao Bai;Chenshuo Wang;Yichen Sun;Xiaoyan Xie;Tiantian Tang;Qi Xie","doi":"10.1109/TEM.2024.3455310","DOIUrl":"https://doi.org/10.1109/TEM.2024.3455310","url":null,"abstract":"Risks and resulting propagating accidents pose considerable threats to the stability of project portfolio network (PPN). To maintain PPN stability, a PPN risk propagation model considering risk perception is constructed. First, a PPN is developed to concurrently visualize the risk propagation paths and the risk perception diffusion paths. Second, modifications to the disaster spreading model are made to construct the PPN risk propagation model supporting more realistic simulations. The model is then applied to numerical simulations, yielding risk propagation mitigation measures. The results suggest that risk mitigation is facilitated by increased trust among project managers, moderate differences in initial project manager risk perceptions, a homogeneous PPN topology, and a tendency to allocate recovery resources based on node degree centrality. These findings guide enterprise administrators in risk decision-making, contributing to stable PPN operations.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14608-14620"},"PeriodicalIF":4.6,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320471","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 : 2024-09-05DOI: 10.1109/TEM.2024.3454775
Xiaocui Li;Nengmin Wang;Bin Jiang;Tao Jia
A proactive environmental strategy (PES) serves as an impactful and effective way to alleviate a firm's adverse environmental impact, and environmental regulations are widely recognized as primary and crucial for promoting a PES. However, most studies in the PES field overlook the pivotal role of external knowledge acquisition and social media capability. Therefore, we have developed a theoretical model drawing on institutional and resource-dependent theories to address this gap. This model examines how different types of environmental regulations, such as market-based incentive regulation (MBI) and command-and-control regulation (CAC), enabled external knowledge acquisition on PES and how social media capability moderates these relationships. We conducted a survey involving 385 Chinese manufacturing firms and follow-up interviews with top managers to test our model. The findings indicate that MBI and CAC positively influence a firm's external knowledge acquisition for PES. However, it is worth noting that MBI exhibits a more substantial effect than CAC. Furthermore, the influence of social media capability on external knowledge acquisition varies depending on the specific dimension of environmental regulations under consideration. These results hold significant implications for organizations aiming to leverage diverse types of environmental regulations and harness the power of social media capability to bolster their proactive environmental strategies. Finally, given the varying levels of development and economic conditions across China, and the fact that these differences will change over time, future research should consider conducting comparative studies to understand PES at a regional level, by using more empirical methods, such as longitudinal research designs and case studies.
{"title":"Environmental Regulations-Enabled External Knowledge Acquisition and Proactive Environmental Strategy: The Moderating Effect of Social Media Capability","authors":"Xiaocui Li;Nengmin Wang;Bin Jiang;Tao Jia","doi":"10.1109/TEM.2024.3454775","DOIUrl":"https://doi.org/10.1109/TEM.2024.3454775","url":null,"abstract":"A proactive environmental strategy (PES) serves as an impactful and effective way to alleviate a firm's adverse environmental impact, and environmental regulations are widely recognized as primary and crucial for promoting a PES. However, most studies in the PES field overlook the pivotal role of external knowledge acquisition and social media capability. Therefore, we have developed a theoretical model drawing on institutional and resource-dependent theories to address this gap. This model examines how different types of environmental regulations, such as market-based incentive regulation (MBI) and command-and-control regulation (CAC), enabled external knowledge acquisition on PES and how social media capability moderates these relationships. We conducted a survey involving 385 Chinese manufacturing firms and follow-up interviews with top managers to test our model. The findings indicate that MBI and CAC positively influence a firm's external knowledge acquisition for PES. However, it is worth noting that MBI exhibits a more substantial effect than CAC. Furthermore, the influence of social media capability on external knowledge acquisition varies depending on the specific dimension of environmental regulations under consideration. These results hold significant implications for organizations aiming to leverage diverse types of environmental regulations and harness the power of social media capability to bolster their proactive environmental strategies. Finally, given the varying levels of development and economic conditions across China, and the fact that these differences will change over time, future research should consider conducting comparative studies to understand PES at a regional level, by using more empirical methods, such as longitudinal research designs and case studies.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14590-14607"},"PeriodicalIF":4.6,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320398","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 : 2024-09-05DOI: 10.1109/TEM.2024.3454715
Haiping Fu;Saixing Zeng;Daxin Sun;Jiawei Lin
Prior literature on ownership suggests that in the majority of cases, state ownership in state-owned enterprises (SOEs) is not an optimal structure for firm performance, especially in emerging economies. Mixed-ownership structures are designed to overcome this disadvantage. However, their impacts on innovation are not well understood. We examine whether and how SOEs’ innovation efforts benefit from mixed-ownership reform, using a sample of 375 publicly listed SOEs operating in China between 2003 and 2019. We discuss principal–principal and principal–agent conflicts in SOEs and argue that the increase in managerial autonomy that accompanies mixed-ownership reform releases SOEs from state control and orients them toward engagement with market forces, encouraging higher levels of innovation. Our results suggest that both the frequency and the impact of innovation in SOEs are improved by mixed-ownership reform. We further find that this relationship is more pronounced when SOEs are affiliated with the central government, and it is strengthened through an anticorruption policy. This study provides fresh insights into the role of mixed-ownership reform in emerging economies.
{"title":"Mixed-Ownership Reform and Innovation: An Examination of State-Owned Enterprises","authors":"Haiping Fu;Saixing Zeng;Daxin Sun;Jiawei Lin","doi":"10.1109/TEM.2024.3454715","DOIUrl":"https://doi.org/10.1109/TEM.2024.3454715","url":null,"abstract":"Prior literature on ownership suggests that in the majority of cases, state ownership in state-owned enterprises (SOEs) is not an optimal structure for firm performance, especially in emerging economies. Mixed-ownership structures are designed to overcome this disadvantage. However, their impacts on innovation are not well understood. We examine whether and how SOEs’ innovation efforts benefit from mixed-ownership reform, using a sample of 375 publicly listed SOEs operating in China between 2003 and 2019. We discuss principal–principal and principal–agent conflicts in SOEs and argue that the increase in managerial autonomy that accompanies mixed-ownership reform releases SOEs from state control and orients them toward engagement with market forces, encouraging higher levels of innovation. Our results suggest that both the frequency and the impact of innovation in SOEs are improved by mixed-ownership reform. We further find that this relationship is more pronounced when SOEs are affiliated with the central government, and it is strengthened through an anticorruption policy. This study provides fresh insights into the role of mixed-ownership reform in emerging economies.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14450-14471"},"PeriodicalIF":4.6,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142246500","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 : 2024-09-05DOI: 10.1109/TEM.2024.3454792
Chih-Hsing Liu;I-An Wang;Jun-You Lin
Innovation is widely acknowledged as crucial in determining a firm's survival and growth. In this article, we enhance the current understanding of business and management by identifying key characteristics and presenting a novel perspective on the antecedents and consequences of innovation performance. By analyzing a dataset of 13 841 entries from the Taiwanese Technological Innovation Survey, this research utilizes a resource-based view to support the proposed hypotheses. The empirical results demonstrate that innovation breadth and protection have direct effects on innovation capability, which, in turn, significantly impact innovation performance. This confirms the mediating role of innovation capability. Furthermore, the study investigates the moderating role of innovation barriers in the relationships among innovation breadth, protection, and capability. The theoretical and managerial implications are discussed in the final section, highlighting the relevance of these findings for both academic research and practical applications in industry.
{"title":"Identifying the Differences in Innovation Attributes in Creating Organizational Performance With an Integrated Approach","authors":"Chih-Hsing Liu;I-An Wang;Jun-You Lin","doi":"10.1109/TEM.2024.3454792","DOIUrl":"https://doi.org/10.1109/TEM.2024.3454792","url":null,"abstract":"Innovation is widely acknowledged as crucial in determining a firm's survival and growth. In this article, we enhance the current understanding of business and management by identifying key characteristics and presenting a novel perspective on the antecedents and consequences of innovation performance. By analyzing a dataset of 13 841 entries from the Taiwanese Technological Innovation Survey, this research utilizes a resource-based view to support the proposed hypotheses. The empirical results demonstrate that innovation breadth and protection have direct effects on innovation capability, which, in turn, significantly impact innovation performance. This confirms the mediating role of innovation capability. Furthermore, the study investigates the moderating role of innovation barriers in the relationships among innovation breadth, protection, and capability. The theoretical and managerial implications are discussed in the final section, highlighting the relevance of these findings for both academic research and practical applications in industry.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15036-15056"},"PeriodicalIF":4.6,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524182","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：