Pub Date : 2025-01-10DOI: 10.1109/TEM.2025.3528066
Hongwei Wang;Xuemei Xie;José María Martín Martín;Klaus Ulrich
Faced with sustainable development challenges and a new symbiotic phase in technological innovation, the green collaborative innovation model has emerged as a crucial approach to address environmental issues. Despite widespread consensus on the role of green collaborative innovation, existing research has yet to systematically examine its antecedent and contingent mechanisms. Therefore, this study aims to uncover the drivers of green collaborative innovation from a technological niche perspective and explore why some enterprises exhibit greater advantages and tendencies in engaging in such initiatives compared to others. The results indicate that both technological niche overlap and breadth have a positive effect on green collaborative innovation, and that these two relationships vary depending on different contingent factors. Specifically, digital transformation negatively moderates the relationship between technological niche overlap and green collaborative innovation, while positively moderates the relationship between technological niche breadth and green collaborative innovation. Female executives negatively moderate the relationship between technological niche overlap and green collaborative innovation, but only in high-polluting industries, while positively moderate the relationship between technological niche breadth and green collaborative innovation. Overall, this study contributes to the existing research on sustainable development by analyzing the influence mechanism of green collaborative innovation through the integration of niche theory, upper echelons theory, and dynamic capability theory.
{"title":"How Does Technological Niche Affect Green Collaborative Innovation? The Contingent Role of Digital Transformation and Female Executives","authors":"Hongwei Wang;Xuemei Xie;José María Martín Martín;Klaus Ulrich","doi":"10.1109/TEM.2025.3528066","DOIUrl":"https://doi.org/10.1109/TEM.2025.3528066","url":null,"abstract":"Faced with sustainable development challenges and a new symbiotic phase in technological innovation, the green collaborative innovation model has emerged as a crucial approach to address environmental issues. Despite widespread consensus on the role of green collaborative innovation, existing research has yet to systematically examine its antecedent and contingent mechanisms. Therefore, this study aims to uncover the drivers of green collaborative innovation from a technological niche perspective and explore why some enterprises exhibit greater advantages and tendencies in engaging in such initiatives compared to others. The results indicate that both technological niche overlap and breadth have a positive effect on green collaborative innovation, and that these two relationships vary depending on different contingent factors. Specifically, digital transformation negatively moderates the relationship between technological niche overlap and green collaborative innovation, while positively moderates the relationship between technological niche breadth and green collaborative innovation. Female executives negatively moderate the relationship between technological niche overlap and green collaborative innovation, but only in high-polluting industries, while positively moderate the relationship between technological niche breadth and green collaborative innovation. Overall, this study contributes to the existing research on sustainable development by analyzing the influence mechanism of green collaborative innovation through the integration of niche theory, upper echelons theory, and dynamic capability theory.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"446-459"},"PeriodicalIF":4.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105742","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 : 2025-01-08DOI: 10.1109/TEM.2024.3524896
Prerna Malakar;Sharfuddin Ahmed Khan;Angappa Gunasekaran;Muhammad Shujaat Mubarik
Digital technologies (DTs) have fundamentally transformed business landscapes, particularly supply chain (SC) management. This study aims to explore the role of Industry 4.0 DTs in advancing social sustainability in SCs, focusing on transparency, visibility, and traceability as key mediators. The study draws its theoretical foundation from dynamic capabilities theory and complexity theory, providing a dual perspective on the role of DTs in SC sustainability. The study employs survey data collected from 250 experts from the manufacturing sector in Pakistan to evaluate these relationships. The study utilizes partial least squares-structural equation modeling for hypothesis testing. Key findings indicate that Industry 4.0 technologies positively impact social SC sustainability, both directly and indirectly, through enhanced traceability, transparency, and visibility. Notably, traceability emerged as the strongest mediator, highlighting the critical role of tracking in ensuring ethical labor practices and preventing social issues such as modern slavery and unsafe working conditions. The research further suggests that adopting Industry 4.0 technologies can drive improvements in labor standards, environmental practices, and overall SC responsibility. The study contributes to the growing body of literature by demonstrating how Industry 4.0 technologies can serve as strategic tools for addressing social issues within SCs, thereby promoting compliance with global ethical standards and enhancing sustainability.
{"title":"Digital Technologies for Social Supply Chain Sustainability: An Empirical Analysis Through the Lens of Dynamic Capabilities and Complexity Theory","authors":"Prerna Malakar;Sharfuddin Ahmed Khan;Angappa Gunasekaran;Muhammad Shujaat Mubarik","doi":"10.1109/TEM.2024.3524896","DOIUrl":"https://doi.org/10.1109/TEM.2024.3524896","url":null,"abstract":"Digital technologies (DTs) have fundamentally transformed business landscapes, particularly supply chain (SC) management. This study aims to explore the role of Industry 4.0 DTs in advancing social sustainability in SCs, focusing on transparency, visibility, and traceability as key mediators. The study draws its theoretical foundation from dynamic capabilities theory and complexity theory, providing a dual perspective on the role of DTs in SC sustainability. The study employs survey data collected from 250 experts from the manufacturing sector in Pakistan to evaluate these relationships. The study utilizes partial least squares-structural equation modeling for hypothesis testing. Key findings indicate that Industry 4.0 technologies positively impact social SC sustainability, both directly and indirectly, through enhanced traceability, transparency, and visibility. Notably, traceability emerged as the strongest mediator, highlighting the critical role of tracking in ensuring ethical labor practices and preventing social issues such as modern slavery and unsafe working conditions. The research further suggests that adopting Industry 4.0 technologies can drive improvements in labor standards, environmental practices, and overall SC responsibility. The study contributes to the growing body of literature by demonstrating how Industry 4.0 technologies can serve as strategic tools for addressing social issues within SCs, thereby promoting compliance with global ethical standards and enhancing sustainability.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"664-675"},"PeriodicalIF":4.6,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667412","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 : 2025-01-08DOI: 10.1109/TEM.2025.3527539
Ke-Chiun Chang;Shuyu Zhang;Yiman Zhang;Yen-Chun Lai
Network embeddedness and node attributes are widely regarded as important dimensions for the formation of key inventors, but few studies have clarified the mechanism of identifying key inventors from a dynamic perspective. Based on a sample of nano-energy and dynamic fuzzy-set qualitative comparative analysis, results show that multiple causal configurations equally explain the conditions for identifying key inventors, in which novelty of knowledge combination is always the core condition in the four time periods, but tie strength is never present. In terms of interconditional relationship patterns, novelty of knowledge combination and knowledge depth remain relatively stable across all time periods, with knowledge depth and knowledge scope mutually reinforcing each other within the same period. The association between structural holes and conditions within node attributes has been progressively diminishing since the high efficiency R&D period. Theoretically, this study provides a dynamic research framework for identifying key inventors, but also challenges the paradoxical view of network embeddedness and the opposing view of knowledge recombination. Practical insights for managers and policymakers to identify and cultivate key inventors are provided by offering conditions and configurations evolution trajectory.
{"title":"How Do Network Embeddedness and Node Attributes Identify Key Inventors? A Dynamic fsQCA Analysis","authors":"Ke-Chiun Chang;Shuyu Zhang;Yiman Zhang;Yen-Chun Lai","doi":"10.1109/TEM.2025.3527539","DOIUrl":"https://doi.org/10.1109/TEM.2025.3527539","url":null,"abstract":"Network embeddedness and node attributes are widely regarded as important dimensions for the formation of key inventors, but few studies have clarified the mechanism of identifying key inventors from a dynamic perspective. Based on a sample of nano-energy and dynamic fuzzy-set qualitative comparative analysis, results show that multiple causal configurations equally explain the conditions for identifying key inventors, in which novelty of knowledge combination is always the core condition in the four time periods, but tie strength is never present. In terms of interconditional relationship patterns, novelty of knowledge combination and knowledge depth remain relatively stable across all time periods, with knowledge depth and knowledge scope mutually reinforcing each other within the same period. The association between structural holes and conditions within node attributes has been progressively diminishing since the high efficiency R&D period. Theoretically, this study provides a dynamic research framework for identifying key inventors, but also challenges the paradoxical view of network embeddedness and the opposing view of knowledge recombination. Practical insights for managers and policymakers to identify and cultivate key inventors are provided by offering conditions and configurations evolution trajectory.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"619-633"},"PeriodicalIF":4.6,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667622","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}
Digital technologies have radically altered the nature of innovation and its development process. Innovations in the digital age are characterized by a reliance on a network of diverse actors who champion innovation. Despite the important role of these innovation actors’ social networks in enabling interactions and collaboration for developing innovation, extant research lacks a synthesis of knowledge on innovation actors’ social networks in the digital age. We provide a multidisciplinary literature review on the social network of actors championing innovation and its interplay with digital technology based on a theoretical framework derived from social network research. Our analysis gives insights into the flows and structure of innovation actors’ social networks. We find that digital technology has predominantly led to gradual changes in innovation actors’ activities by functioning as a catalyst. Concerning the characteristics of innovation actors’ networks, we find more fundamental changes in the agency of digital innovation as innovation actors form communities and perform activities collectively. Building on the literature on digital technology and digital innovation, we identify promising avenues for future research. Overall, our literature review contributes by proposing a new conceptual model of innovation actors’ social networks in the digital age and providing an agenda for future research.
{"title":"Understanding the Role of Innovation Actors’ Social Network in the Digital Age: A Literature Review and Avenues for Future Research","authors":"Katharina Drechsler;Victoria Reibenspiess;Andreas Eckhardt;Heinz-Theo Wagner","doi":"10.1109/TEM.2025.3526703","DOIUrl":"https://doi.org/10.1109/TEM.2025.3526703","url":null,"abstract":"Digital technologies have radically altered the nature of innovation and its development process. Innovations in the digital age are characterized by a reliance on a network of diverse actors who champion innovation. Despite the important role of these innovation actors’ social networks in enabling interactions and collaboration for developing innovation, extant research lacks a synthesis of knowledge on innovation actors’ social networks in the digital age. We provide a multidisciplinary literature review on the social network of actors championing innovation and its interplay with digital technology based on a theoretical framework derived from social network research. Our analysis gives insights into the flows and structure of innovation actors’ social networks. We find that digital technology has predominantly led to gradual changes in innovation actors’ activities by functioning as a catalyst. Concerning the characteristics of innovation actors’ networks, we find more fundamental changes in the agency of digital innovation as innovation actors form communities and perform activities collectively. Building on the literature on digital technology and digital innovation, we identify promising avenues for future research. Overall, our literature review contributes by proposing a new conceptual model of innovation actors’ social networks in the digital age and providing an agenda for future research.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"409-425"},"PeriodicalIF":4.6,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10830003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-07DOI: 10.1109/TEM.2024.3525105
Jingwen Wu;Yuting Yan;Shuaian Wang;Lu Zhen
The increasing pressure on global supply chains to reduce carbon emissions has driven the need for sustainable supply chain network design (SSCND). This article proposes an innovative framework for SSCND that optimizes facility location and scale decisions under uncertainty using blockchain technology. By incorporating cap-and-trade regulations and carbon trading into a mixed-integer linear programming model, the article addresses both the economic and environmental objectives of supply chains. A two-stage stochastic programming approach is employed to optimize the SSCND. The first stage focuses on facility location decisions and the second stage on production adjustment, transportation, and carbon trading under demand uncertainty. The carbon trading decisions are integrated into the model by assigning a monetary value to carbon dioxide emissions and allowing for dynamic adjustments to real-time environmental impacts. A primal decomposition algorithm is introduced to address the computational challenges involved in solving the two-stage stochastic programming model. Numerical experiments based on data derived from SAIC Motor Corporation's supply chain demonstrate the effectiveness of the model and algorithm. This article provides an efficient approach for integrating environmental sustainability into supply chain management, offering valuable insights for industries aiming to achieve carbon neutrality
{"title":"Optimizing Blockchain-Enabled Sustainable Supply Chains","authors":"Jingwen Wu;Yuting Yan;Shuaian Wang;Lu Zhen","doi":"10.1109/TEM.2024.3525105","DOIUrl":"https://doi.org/10.1109/TEM.2024.3525105","url":null,"abstract":"The increasing pressure on global supply chains to reduce carbon emissions has driven the need for sustainable supply chain network design (SSCND). This article proposes an innovative framework for SSCND that optimizes facility location and scale decisions under uncertainty using blockchain technology. By incorporating cap-and-trade regulations and carbon trading into a mixed-integer linear programming model, the article addresses both the economic and environmental objectives of supply chains. A two-stage stochastic programming approach is employed to optimize the SSCND. The first stage focuses on facility location decisions and the second stage on production adjustment, transportation, and carbon trading under demand uncertainty. The carbon trading decisions are integrated into the model by assigning a monetary value to carbon dioxide emissions and allowing for dynamic adjustments to real-time environmental impacts. A primal decomposition algorithm is introduced to address the computational challenges involved in solving the two-stage stochastic programming model. Numerical experiments based on data derived from SAIC Motor Corporation's supply chain demonstrate the effectiveness of the model and algorithm. This article provides an efficient approach for integrating environmental sustainability into supply chain management, offering valuable insights for industries aiming to achieve carbon neutrality","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"426-445"},"PeriodicalIF":4.6,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105810","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 : 2025-01-06DOI: 10.1109/TEM.2024.3502372
Tsan-Ming Choi
It is my big honor to be appointed as the new Editor-in-Chief of IEEE Transactions on Engineering Management (IEEE-TEM). In this editorial article, some updates of the journal are presented. We also share some editorial policies of the journal as well as publication requirements for full-length original research papers. Finally, some simple tips are provided to help authors better prepare their papers for publication in IEEE-TEM.
{"title":"Editorial: IEEE Transactions on Engineering Management 2025","authors":"Tsan-Ming Choi","doi":"10.1109/TEM.2024.3502372","DOIUrl":"https://doi.org/10.1109/TEM.2024.3502372","url":null,"abstract":"It is my big honor to be appointed as the new Editor-in-Chief of \u0000<sc>IEEE Transactions on Engineering Management</small>\u0000 (IEEE-TEM). In this editorial article, some updates of the journal are presented. We also share some editorial policies of the journal as well as publication requirements for full-length original research papers. Finally, some simple tips are provided to help authors better prepare their papers for publication in IEEE-TEM.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"1-3"},"PeriodicalIF":4.6,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10829390","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-03DOI: 10.1109/TEM.2024.3525412
Ming Cheng;Bin Shen;Hau-Ling Chan
In the e-marketplace, consumers can know how products fit their preferences using artificial intelligence consumer experience tools (AI-CE), which have been adopted by the retailer and/or supplier. Motivated by e-commerce practices, the question of who provides AI-CE is optimal for the supply chain remains unclear. We evaluate the impacts of implementing AI-CE on the supply chain. The supplier sells two horizontally differentiated products. One is sold through the retailer, and one is sold directly on the supplier's own channel. Our analytical results show that the optimal AI-CE implementation strategy of the retailer and supplier depends on consumer sensitivity toward the privacy of using AI-CE. To realize a win–win outcome for the supplier and retailer, the retailer (supplier) should implement AI-CE, but the supplier (retailer) should not when consumer sensitivity toward privacy is low (high). Surprisingly, when consumer sensitivity toward privacy is moderate, neither the supplier nor the retailer should implement AI-CE. The reason is that joint implementation will eliminate the positive effect of comparative disadvantage and channel competition. Moreover, we find that the enhancement in the precision of AI-CE may either benefit or harm the supplier and retailer. Our study guides AI-CE implementation in e-commerce supply chains.
{"title":"Implementing Artificial Intelligence Consumer Experience Tools in Supply Chains","authors":"Ming Cheng;Bin Shen;Hau-Ling Chan","doi":"10.1109/TEM.2024.3525412","DOIUrl":"https://doi.org/10.1109/TEM.2024.3525412","url":null,"abstract":"In the e-marketplace, consumers can know how products fit their preferences using artificial intelligence consumer experience tools (AI-CE), which have been adopted by the retailer and/or supplier. Motivated by e-commerce practices, the question of who provides AI-CE is optimal for the supply chain remains unclear. We evaluate the impacts of implementing AI-CE on the supply chain. The supplier sells two horizontally differentiated products. One is sold through the retailer, and one is sold directly on the supplier's own channel. Our analytical results show that the optimal AI-CE implementation strategy of the retailer and supplier depends on consumer sensitivity toward the privacy of using AI-CE. To realize a win–win outcome for the supplier and retailer, the retailer (supplier) should implement AI-CE, but the supplier (retailer) should not when consumer sensitivity toward privacy is low (high). Surprisingly, when consumer sensitivity toward privacy is moderate, neither the supplier nor the retailer should implement AI-CE. The reason is that joint implementation will eliminate the positive effect of comparative disadvantage and channel competition. Moreover, we find that the enhancement in the precision of AI-CE may either benefit or harm the supplier and retailer. Our study guides AI-CE implementation in e-commerce supply chains.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"717-729"},"PeriodicalIF":4.6,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667571","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 : 2025-01-01DOI: 10.1109/TEM.2024.3524514
Chenchen Huang;Boqiang Lin
Enhancing energy efficiency (EE) is thought to be an essential strategy for reaching carbon neutrality objectives. The emergence of the digital economy (DE) has given EE fresh momentum. However, the relationship between the DE and EE is controversial. This research builds a fixed effect panel stochastic frontier model to examine how the DE affects EE by analyzing data from 30 provinces in China between 2011 and 2021. The study finds that the DE significantly and positively affects EE. This conclusion still holds in a series of robustness tests. Mechanism analysis finds that the DE improves EE by promoting the substitution of electricity for other energy sources. Heterogeneity analysis shows that the role of the DE in improving EE is more vital in regions with low coal proportion, low urbanization levels, and high human capital levels. This study offers new evidence for related studies and provides policy recommendations for carbon neutrality and sustainable development.
提高能源效率（EE）被认为是实现碳中和目标的基本战略。数字经济（DE）的出现为 EE 注入了新的动力。然而，数字经济与能源效率之间的关系却存在争议。本研究建立了一个固定效应面板随机前沿模型，通过分析 2011 年至 2021 年中国 30 个省份的数据，研究了数字经济如何影响能源效率。研究发现，可持续发展指数对能源效率有明显的正向影响。这一结论在一系列稳健性检验中仍然成立。机理分析发现，能源效率提高是通过促进电力对其他能源的替代来实现的。异质性分析表明，在煤炭比例低、城市化水平低和人力资本水平高的地区，可再生能源免税政策在改善能源效率方面的作用更为重要。本研究为相关研究提供了新的证据，并为碳中和与可持续发展提供了政策建议。
{"title":"Improving Energy Efficiency Through the Digital Economy in Mainland China: Easier Said Than Done","authors":"Chenchen Huang;Boqiang Lin","doi":"10.1109/TEM.2024.3524514","DOIUrl":"https://doi.org/10.1109/TEM.2024.3524514","url":null,"abstract":"Enhancing energy efficiency (EE) is thought to be an essential strategy for reaching carbon neutrality objectives. The emergence of the digital economy (DE) has given EE fresh momentum. However, the relationship between the DE and EE is controversial. This research builds a fixed effect panel stochastic frontier model to examine how the DE affects EE by analyzing data from 30 provinces in China between 2011 and 2021. The study finds that the DE significantly and positively affects EE. This conclusion still holds in a series of robustness tests. Mechanism analysis finds that the DE improves EE by promoting the substitution of electricity for other energy sources. Heterogeneity analysis shows that the role of the DE in improving EE is more vital in regions with low coal proportion, low urbanization levels, and high human capital levels. This study offers new evidence for related studies and provides policy recommendations for carbon neutrality and sustainable development.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"326-334"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142976073","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 : 2024-12-31DOI: 10.1109/TEM.2024.3522570
Danilo Pesce;Paolo Neirotti
This study investigates how cognitive and emotional mechanisms drive advancement in lean corporate programs, addressing a key yet underexplored factor in continuous improvement. While existing research documents lean program successes, it often overlooks the role of cognitive and emotional factors in program progression. Using a phenomenological approach, we integrate individual and plant-level data through both qualitative and quantitative methods. Focusing on a lean corporate program implemented across 22 Italian plants of a leading global carmaker, we employ a structural equation model to assess the relationships among lean organizing principles, cognitive involvement, emotional perceptions, and lean program advancement. Three key insights emerge: 1) A comprehensive application of lean organizing principles enhances employees’ cognitive involvement in lean practices; 2) Cognitive involvement is essential for advancing lean corporate programs; 3) Positive emotional states—such as pride, self-efficacy, and perceived fairness—significantly mediate the relationship between cognitive involvement and lean advancement. This study contributes to lean management literature by demonstrating that positive emotions are critical for sustaining lean progress. By bridging the knowledge-based view with behavioral theories, we provide researchers and practitioners with a nuanced understanding of the interplay between cognitive and emotional factors in advancing lean programs.
{"title":"Balancing Cognitions and Emotions to Advance Lean Corporate Programs","authors":"Danilo Pesce;Paolo Neirotti","doi":"10.1109/TEM.2024.3522570","DOIUrl":"https://doi.org/10.1109/TEM.2024.3522570","url":null,"abstract":"This study investigates how cognitive and emotional mechanisms drive advancement in lean corporate programs, addressing a key yet underexplored factor in continuous improvement. While existing research documents lean program successes, it often overlooks the role of cognitive and emotional factors in program progression. Using a phenomenological approach, we integrate individual and plant-level data through both qualitative and quantitative methods. Focusing on a lean corporate program implemented across 22 Italian plants of a leading global carmaker, we employ a structural equation model to assess the relationships among lean organizing principles, cognitive involvement, emotional perceptions, and lean program advancement. Three key insights emerge: 1) A comprehensive application of lean organizing principles enhances employees’ cognitive involvement in lean practices; 2) Cognitive involvement is essential for advancing lean corporate programs; 3) Positive emotional states—such as pride, self-efficacy, and perceived fairness—significantly mediate the relationship between cognitive involvement and lean advancement. This study contributes to lean management literature by demonstrating that positive emotions are critical for sustaining lean progress. By bridging the knowledge-based view with behavioral theories, we provide researchers and practitioners with a nuanced understanding of the interplay between cognitive and emotional factors in advancing lean programs.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"363-377"},"PeriodicalIF":4.6,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10819003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993284","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 : 2024-12-31DOI: 10.1109/TEM.2024.3514701
Timothy Kiessling;Marina Dabić;Sandeep Yadav;Nicolas Huck;Jane F. Maley
In this article, we explore how small- and medium-sized enterprises (SMEs) handle supply chain disruptions, focusing on their choices between direct and indirect exporting and the pace of internationalization. While past scholars have extensively examined exporting in uncertainty and disruption, they have neglected SMEs, exposing a gap in the extant literature. Drawing on the organizational resilience concept supported by the theoretical lens of dynamic capabilities, the study focuses on resilience in preparing and reconfiguring the supply chain to manage disruptive events. The analysis of 2484 SMEs from 23 countries reveals that SMEs engaging in direct exporting are likely to internationalize more swiftly, influenced by local factors such as corruption, informal competition, and political instability. This study examines a major weakness in the extant literature by casting light on SMEs exporting behavior in disruptive events and underscores the need for resilience-building strategies in SME supply chains to manage future face market disruptions and volatile events.
{"title":"Supply Chain Disruptions and Need for Resilience: SMEs Direct/Indirect Exporting and Rapid Internationalization","authors":"Timothy Kiessling;Marina Dabić;Sandeep Yadav;Nicolas Huck;Jane F. Maley","doi":"10.1109/TEM.2024.3514701","DOIUrl":"https://doi.org/10.1109/TEM.2024.3514701","url":null,"abstract":"In this article, we explore how small- and medium-sized enterprises (SMEs) handle supply chain disruptions, focusing on their choices between direct and indirect exporting and the pace of internationalization. While past scholars have extensively examined exporting in uncertainty and disruption, they have neglected SMEs, exposing a gap in the extant literature. Drawing on the organizational resilience concept supported by the theoretical lens of dynamic capabilities, the study focuses on resilience in preparing and reconfiguring the supply chain to manage disruptive events. The analysis of 2484 SMEs from 23 countries reveals that SMEs engaging in direct exporting are likely to internationalize more swiftly, influenced by local factors such as corruption, informal competition, and political instability. This study examines a major weakness in the extant literature by casting light on SMEs exporting behavior in disruptive events and underscores the need for resilience-building strategies in SME supply chains to manage future face market disruptions and volatile events.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"115-133"},"PeriodicalIF":4.6,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937847","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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