Pub Date : 2024-12-16DOI: 10.1109/TEM.2024.3518585
Haiwen Li;Junying Liu;Bo Xia;Yanyan Hong
Organizational resilience (ORE) is crucial for businesses to cope with disruptions and achieve long-term survival in volatile environments. Strategic orientation (SO), which serves as a beacon for the long-term development of firms, has a significant influence on ORE. However, existing research remains inconclusive regarding the relationship between SO and ORE. This article seeks to investigate the mechanisms through which the emerging dimensions of SO—digital orientation (DO) and environmental orientation (EO)—impact ORE, drawing on resource orchestration (ROR) theory and organizational learning theory. In particular, we explore the mediating role of ROR in explaining the diverse pathways from DO and EO to ORE under the boundary conditions of organizational memory (OM) and environmental hostility (EH). This research tests the proposed hypotheses using a mixed-methods approach with a sample of 304 Chinese firms. The hierarchical multiple regression results indicate that both DO and EO positively affect ORE, with ROR serving as a full mediator. More interestingly, OM positively moderates the indirect effects of DO and EO on ORE via ROR, whereas EH only strengthens the indirect relationship between DO and ORE via ROR. Furthermore, the fuzzy set qualitative comparative analysis results reinforce these findings by revealing that four configurations of these variables can achieve high ORE. This study helps enrich the literature on SO and ORE and provides practical insights to guide firms in enhancing ORE.
{"title":"Surfing With the Tides: How Does Dual Strategic Orientation Enhance Organizational Resilience Through Resource Orchestration? A Moderated Mediation Model","authors":"Haiwen Li;Junying Liu;Bo Xia;Yanyan Hong","doi":"10.1109/TEM.2024.3518585","DOIUrl":"https://doi.org/10.1109/TEM.2024.3518585","url":null,"abstract":"Organizational resilience (ORE) is crucial for businesses to cope with disruptions and achieve long-term survival in volatile environments. Strategic orientation (SO), which serves as a beacon for the long-term development of firms, has a significant influence on ORE. However, existing research remains inconclusive regarding the relationship between SO and ORE. This article seeks to investigate the mechanisms through which the emerging dimensions of SO—digital orientation (DO) and environmental orientation (EO)—impact ORE, drawing on resource orchestration (ROR) theory and organizational learning theory. In particular, we explore the mediating role of ROR in explaining the diverse pathways from DO and EO to ORE under the boundary conditions of organizational memory (OM) and environmental hostility (EH). This research tests the proposed hypotheses using a mixed-methods approach with a sample of 304 Chinese firms. The hierarchical multiple regression results indicate that both DO and EO positively affect ORE, with ROR serving as a full mediator. More interestingly, OM positively moderates the indirect effects of DO and EO on ORE via ROR, whereas EH only strengthens the indirect relationship between DO and ORE via ROR. Furthermore, the fuzzy set qualitative comparative analysis results reinforce these findings by revealing that four configurations of these variables can achieve high ORE. This study helps enrich the literature on SO and ORE and provides practical insights to guide firms in enhancing ORE.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"252-266"},"PeriodicalIF":4.6,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938541","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 : 2024-12-09DOI: 10.1109/TEM.2024.3513773
Lin Zhang;Zhen Shao;Bin Chen;Jose Benitez
Despite the transformative potential of generative artificial intelligence (AI) systems within enterprise digital platforms, there still exist gaps in understanding the challenges and strategies associated with their adoption. Addressing this pressing issue, this article draws upon institutional theory to delve into the drivers influencing firms’ adoption of generative AI within their enterprise digital platforms. Leveraging survey data collected from 328 firms that have implemented digital platforms to support their business operations, we find that institutional pressures positively influence generative AI adoption within their enterprise digital platforms. Furthermore, we identify salient moderating effects of policy uncertainty and innovative culture in shaping the relationships. Our research findings make a substantial contribution to AI literature by illuminating the potential challenges and strategies toward generative AI adoption as well as reassessing the application of institutional theory within the digital landscape.
{"title":"Unraveling Generative AI Adoption in Enterprise Digital Platforms: The Effect of Institutional Pressures and the Moderating Role of Internal and External Environments","authors":"Lin Zhang;Zhen Shao;Bin Chen;Jose Benitez","doi":"10.1109/TEM.2024.3513773","DOIUrl":"https://doi.org/10.1109/TEM.2024.3513773","url":null,"abstract":"Despite the transformative potential of generative artificial intelligence (AI) systems within enterprise digital platforms, there still exist gaps in understanding the challenges and strategies associated with their adoption. Addressing this pressing issue, this article draws upon institutional theory to delve into the drivers influencing firms’ adoption of generative AI within their enterprise digital platforms. Leveraging survey data collected from 328 firms that have implemented digital platforms to support their business operations, we find that institutional pressures positively influence generative AI adoption within their enterprise digital platforms. Furthermore, we identify salient moderating effects of policy uncertainty and innovative culture in shaping the relationships. Our research findings make a substantial contribution to AI literature by illuminating the potential challenges and strategies toward generative AI adoption as well as reassessing the application of institutional theory within the digital landscape.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"335-348"},"PeriodicalIF":4.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142976131","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 : 2024-12-09DOI: 10.1109/TEM.2024.3514653
Yalan Zhu;Yufei Huang
How to launch multiple versions of a product sequentially into the market is always an important but challenging question. In this article, we consider the price–quality heuristic, namely consumers' strategic deliberation when they use prices to infer product quality over different versions, and employ an analytical model focusing on how the presence of the price–quality heuristic affects the firm's decision on product introduction strategies. Our analysis yields three main insights. First, in the presence of the price–quality heuristic, even though the sales of the earlier version are low, it can serve as a reference for consumers to better understand the quality improvement in the later version, therefore, can bring more profits to the firm. Second, when consumers use prices to infer product quality, the firm can benefit from consumers' strategic deliberation over different versions. Third, as the intensity of the price–quality heuristic becomes stronger, the firm's optimal pricing strategy switches from mark-down to mark-up. In an extension, we find that the trade-in program is optimal when quality improvement is big, but the price–quality heuristic undermines the advantage of the trade-in program. Our analysis indicates that the firm should carefully evaluate how consumers interpret product quality via prices when devising its product introduction strategy.
{"title":"Analysis of Product Introduction Strategies in the Presence of Price–Quality Heuristic","authors":"Yalan Zhu;Yufei Huang","doi":"10.1109/TEM.2024.3514653","DOIUrl":"https://doi.org/10.1109/TEM.2024.3514653","url":null,"abstract":"How to launch multiple versions of a product sequentially into the market is always an important but challenging question. In this article, we consider the price–quality heuristic, namely consumers' strategic deliberation when they use prices to infer product quality over different versions, and employ an analytical model focusing on how the presence of the price–quality heuristic affects the firm's decision on product introduction strategies. Our analysis yields three main insights. First, in the presence of the price–quality heuristic, even though the sales of the earlier version are low, it can serve as a reference for consumers to better understand the quality improvement in the later version, therefore, can bring more profits to the firm. Second, when consumers use prices to infer product quality, the firm can benefit from consumers' strategic deliberation over different versions. Third, as the intensity of the price–quality heuristic becomes stronger, the firm's optimal pricing strategy switches from mark-down to mark-up. In an extension, we find that the trade-in program is optimal when quality improvement is big, but the price–quality heuristic undermines the advantage of the trade-in program. Our analysis indicates that the firm should carefully evaluate how consumers interpret product quality via prices when devising its product introduction strategy.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"267-281"},"PeriodicalIF":4.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10787210","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938543","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 : 2024-12-09DOI: 10.1109/TEM.2024.3512780
Eva Panetti;Michele Simoni
This article explores the critical role of visual inquiry tools (VITs) in overcoming cognitive barriers to business model innovation (BMI), especially within the context of digital innovation. While existing tools have shown promise, they often fall short in addressing the specific cognitive barriers tied to business model transformation and lack a theoretical foundation. To bridge this gap, we followed the principles of design science research and design theory and designed the “transformative strategic thinking” (TST) tool. The TST tool is a VIT designed to facilitate BMI by stimulating the creative thinking abilities needed to challenge the dominant business model logic and experiment with alternative scenarios. In this article, we present the main phases of our design journey.
{"title":"Designing a Visual Inquiry Tool for Business Model Innovation","authors":"Eva Panetti;Michele Simoni","doi":"10.1109/TEM.2024.3512780","DOIUrl":"https://doi.org/10.1109/TEM.2024.3512780","url":null,"abstract":"This article explores the critical role of visual inquiry tools (VITs) in overcoming cognitive barriers to business model innovation (BMI), especially within the context of digital innovation. While existing tools have shown promise, they often fall short in addressing the specific cognitive barriers tied to business model transformation and lack a theoretical foundation. To bridge this gap, we followed the principles of design science research and design theory and designed the “transformative strategic thinking” (TST) tool. The TST tool is a VIT designed to facilitate BMI by stimulating the creative thinking abilities needed to challenge the dominant business model logic and experiment with alternative scenarios. In this article, we present the main phases of our design journey.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"134-145"},"PeriodicalIF":4.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937850","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}
Crises caused by a broad spectrum of emergency triggers are creating unprecedented challenges for local and global institutions and business entities. The capacity of a system to respond and recover from a crisis is strongly influenced by the ability to manage coordination among “coalitions” of involved agents and to support dialogue and collaborative leadership. However, coordination science and engineering approaches have not been extensively investigated in crisis management studies and practitioner applications. This article is positioned in such a research gap and it adopts a cross-disciplinary view to design a novel crisis management paradigm, which defines coordination as a keystone of effective and efficient responses. In this article, we present a coordination core, with three key dependencies (i.e., fit, flow, and share) concerned with resource and activity management during a crisis, and four pillars of crisis prevention, crisis awareness, crisis response, and crisis recovery, with 64 associated attributes, including constructs, processes, tools, and analytics. We present two illustrative scenarios and we discuss that findings are made along a societal and organizational crisis management viewpoint. The article further develops crisis management theory by bringing a coordination engineering perspective, and it offers business leaders and policymakers a practical model for embedding crisis management capabilities in their organizations.
{"title":"Collaborative Crisis Management: A Coordination Science Framework to Enhance Stakeholder Responses to Emergencies","authors":"Alessandro Margherita;Gianluca Elia;Gianluca Solazzo;Luca Gatti;Annemarie Poorterman","doi":"10.1109/TEM.2024.3508037","DOIUrl":"https://doi.org/10.1109/TEM.2024.3508037","url":null,"abstract":"Crises caused by a broad spectrum of emergency triggers are creating unprecedented challenges for local and global institutions and business entities. The capacity of a system to respond and recover from a crisis is strongly influenced by the ability to manage coordination among “coalitions” of involved agents and to support dialogue and collaborative leadership. However, coordination science and engineering approaches have not been extensively investigated in crisis management studies and practitioner applications. This article is positioned in such a research gap and it adopts a cross-disciplinary view to design a novel crisis management paradigm, which defines coordination as a keystone of effective and efficient responses. In this article, we present a coordination core, with three key dependencies (i.e., fit, flow, and share) concerned with resource and activity management during a crisis, and four pillars of crisis prevention, crisis awareness, crisis response, and crisis recovery, with 64 associated attributes, including constructs, processes, tools, and analytics. We present two illustrative scenarios and we discuss that findings are made along a societal and organizational crisis management viewpoint. The article further develops crisis management theory by bringing a coordination engineering perspective, and it offers business leaders and policymakers a practical model for embedding crisis management capabilities in their organizations.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"191-201"},"PeriodicalIF":4.6,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937853","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 : 2024-12-02DOI: 10.1109/TEM.2024.3510401
Xiuqi Jiang;Ying Jiang
The advent of digital transformation (DT) within Chinese listed companies has ushered in significant changes in the workplace, reshaping the dynamics of employee protection (EP). However, existing research focuses on the impact of DT on EP from the employee perspective and we want to explore the influence of DT on EP under the background of private listed companies in China. We adopt a two-way fixed-effect model and use the data of Chinese A-share-listed companies from 2010 to 2020 to analyze the impact of DT on the well-being of employees and its associated mechanism. This article analyzes the impact of DT on EP from both internal and external perspectives. By increasing external information disclosure and internal communication channels, enterprise DT enhances the pressure and ability of enterprises to fulfill employee responsibilities, thus strengthening EP. A series of robustness tests, such as instrumental variables, propensity score matching, increasing fixed effects and substituting variables, further verified our conclusion. The study further shows that these effects are more pronounced in firms with more external attention, high employee density, and visionary management. Our findings contribute significantly to the literature on DT and employee welfare by shedding light on the positive impacts of DT on EP and providing decision support for managers and policymakers.
{"title":"The Impact of Digital Transformation on Employee Protection","authors":"Xiuqi Jiang;Ying Jiang","doi":"10.1109/TEM.2024.3510401","DOIUrl":"https://doi.org/10.1109/TEM.2024.3510401","url":null,"abstract":"The advent of digital transformation (DT) within Chinese listed companies has ushered in significant changes in the workplace, reshaping the dynamics of employee protection (EP). However, existing research focuses on the impact of DT on EP from the employee perspective and we want to explore the influence of DT on EP under the background of private listed companies in China. We adopt a two-way fixed-effect model and use the data of Chinese A-share-listed companies from 2010 to 2020 to analyze the impact of DT on the well-being of employees and its associated mechanism. This article analyzes the impact of DT on EP from both internal and external perspectives. By increasing external information disclosure and internal communication channels, enterprise DT enhances the pressure and ability of enterprises to fulfill employee responsibilities, thus strengthening EP. A series of robustness tests, such as instrumental variables, propensity score matching, increasing fixed effects and substituting variables, further verified our conclusion. The study further shows that these effects are more pronounced in firms with more external attention, high employee density, and visionary management. Our findings contribute significantly to the literature on DT and employee welfare by shedding light on the positive impacts of DT on EP and providing decision support for managers and policymakers.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"202-209"},"PeriodicalIF":4.6,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937854","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 : 2024-11-28DOI: 10.1109/TEM.2024.3508593
Andrea S. Patrucco;Paola Bellis;Daniel Trabucchi;Tommaso Buganza
Innovation projects play a crucial role in maintaining competitive advantage but often experience high failure rates. In this article, we examine how behavioral biases influence supplier resource management in failed innovation projects. Using resource orchestration theory as a lens, we analyze six failed projects, each involving two suppliers, to explore how cognitive biases disrupt critical resource management activities, including structuring, bundling, and leveraging. Key biases, such as overconfidence, optimism, and strategic misrepresentation, were found to skew decision making, prioritizing technical competencies over relational history during supplier selection. This misalignment impaired supplier interactions and knowledge-sharing practices, ultimately contributing to project failure. The findings offer a novel perspective on how cognitive biases undermine resource orchestration and highlight the importance of incorporating collaborative history into supplier selection frameworks. Addressing these biases can significantly improve decision-making processes and enhance the success of innovation projects.
{"title":"Behavioral Biases and Cognitive Pitfalls: Navigating Resource Orchestration in Supplier-Partnered Innovation Projects","authors":"Andrea S. Patrucco;Paola Bellis;Daniel Trabucchi;Tommaso Buganza","doi":"10.1109/TEM.2024.3508593","DOIUrl":"https://doi.org/10.1109/TEM.2024.3508593","url":null,"abstract":"Innovation projects play a crucial role in maintaining competitive advantage but often experience high failure rates. In this article, we examine how behavioral biases influence supplier resource management in failed innovation projects. Using resource orchestration theory as a lens, we analyze six failed projects, each involving two suppliers, to explore how cognitive biases disrupt critical resource management activities, including structuring, bundling, and leveraging. Key biases, such as overconfidence, optimism, and strategic misrepresentation, were found to skew decision making, prioritizing technical competencies over relational history during supplier selection. This misalignment impaired supplier interactions and knowledge-sharing practices, ultimately contributing to project failure. The findings offer a novel perspective on how cognitive biases undermine resource orchestration and highlight the importance of incorporating collaborative history into supplier selection frameworks. Addressing these biases can significantly improve decision-making processes and enhance the success of innovation projects.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"227-239"},"PeriodicalIF":4.6,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937852","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}
University entrepreneurial ecosystem (UEE) provides students and academic staff with the resources and environment where they are supported to take up entrepreneurship. Studies have indicated that student and academic-staff-run entrepreneurship contributes to regional development through university spinoffs and knowledge spillover. However, the complete framework of developing UEE has not been discussed in the literature, and scholars have focused on examining the impact of certain aspects of UEE, such as entrepreneurial education and technology transfer. The measurement scale for the dimensions of UEE is scarce. In this article, we address this gap by conceptualizing the UEE as analogous to the ecology ecosystem and identifying the dimensions of UEE as entrepreneurial skill development, entrepreneurial resources, and entrepreneurial culture. Moreover, we strengthen the UEE framework by finding out the components and subcomponents. Finally, we develop measurement scales for UEE by following a rigorous four-step methodology followed by ensuring the nomological validity of the scale. The article not only contributes to the entrepreneurial ecosystem literature by conceptualizing UEE and developing a way to measure UEE but it also helps managers by suggesting a tool for comparison of performance of various UEEs.
{"title":"Developing a Reflective–Formative–Formative Scale for Measuring University Entrepreneurial Ecosystem From Students’ Viewpoints","authors":"Aftab Alam;Arpita Ghatak;Bhaskar Bhowmick;Swagato Chatterjee","doi":"10.1109/TEM.2024.3508613","DOIUrl":"https://doi.org/10.1109/TEM.2024.3508613","url":null,"abstract":"University entrepreneurial ecosystem (UEE) provides students and academic staff with the resources and environment where they are supported to take up entrepreneurship. Studies have indicated that student and academic-staff-run entrepreneurship contributes to regional development through university spinoffs and knowledge spillover. However, the complete framework of developing UEE has not been discussed in the literature, and scholars have focused on examining the impact of certain aspects of UEE, such as entrepreneurial education and technology transfer. The measurement scale for the dimensions of UEE is scarce. In this article, we address this gap by conceptualizing the UEE as analogous to the ecology ecosystem and identifying the dimensions of UEE as entrepreneurial skill development, entrepreneurial resources, and entrepreneurial culture. Moreover, we strengthen the UEE framework by finding out the components and subcomponents. Finally, we develop measurement scales for UEE by following a rigorous four-step methodology followed by ensuring the nomological validity of the scale. The article not only contributes to the entrepreneurial ecosystem literature by conceptualizing UEE and developing a way to measure UEE but it also helps managers by suggesting a tool for comparison of performance of various UEEs.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"240-251"},"PeriodicalIF":4.6,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938290","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 : 2024-11-27DOI: 10.1109/TEM.2024.3506790
Zhenyang Xu;Wenxue Lu;Lihan Zhang;Wenqian Guo
When conflicts arise between different organizations in the construction industry, various perceived conflict causes have crucial effects on the involved parties’ coping behaviors. However, the extant literature has not adequately addressed this perspective. This study embarks on an attributional perspective, considering three dimensions (internality, controllability, and stability) to investigate the perceived causes of conflict and their effects on two primary conflict-coping behaviors: cooperative and competitive. Additionally, we delve into the moderating role of trust in this context. Drawing from 428 surveys in the Chinese construction industry, our empirical results reveal the following. The internality of attribution positively affects cooperative behavior, controllability positively affects both cooperative and competitive behaviors, while stability negatively affects cooperative behavior and positively affects competitive behavior. Moreover, trust weakens the positive relationships of both internality and controllability with cooperative behavior. Conversely, it strengthens the negative relationship of stability with cooperative behavior and the positive relationship of both controllability and stability with competitive behavior. This research elucidates the complex mechanisms between perceived conflict causes and coping behaviors, facilitating a deeper understanding of the differences and connections between cooperative and competitive behaviors. Additionally, it provides new insights into the role of trust in conflict management.
{"title":"Cooperate or Compete? Attributional Perspective for Interorganizational Conflicts in Construction Projects With Trust as a Moderator","authors":"Zhenyang Xu;Wenxue Lu;Lihan Zhang;Wenqian Guo","doi":"10.1109/TEM.2024.3506790","DOIUrl":"https://doi.org/10.1109/TEM.2024.3506790","url":null,"abstract":"When conflicts arise between different organizations in the construction industry, various perceived conflict causes have crucial effects on the involved parties’ coping behaviors. However, the extant literature has not adequately addressed this perspective. This study embarks on an attributional perspective, considering three dimensions (internality, controllability, and stability) to investigate the perceived causes of conflict and their effects on two primary conflict-coping behaviors: cooperative and competitive. Additionally, we delve into the moderating role of trust in this context. Drawing from 428 surveys in the Chinese construction industry, our empirical results reveal the following. The internality of attribution positively affects cooperative behavior, controllability positively affects both cooperative and competitive behaviors, while stability negatively affects cooperative behavior and positively affects competitive behavior. Moreover, trust weakens the positive relationships of both internality and controllability with cooperative behavior. Conversely, it strengthens the negative relationship of stability with cooperative behavior and the positive relationship of both controllability and stability with competitive behavior. This research elucidates the complex mechanisms between perceived conflict causes and coping behaviors, facilitating a deeper understanding of the differences and connections between cooperative and competitive behaviors. Additionally, it provides new insights into the role of trust in conflict management.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"161-175"},"PeriodicalIF":4.6,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937848","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 : 2024-11-27DOI: 10.1109/TEM.2024.3491940
Junkai Wang;Haowen Tian;Penghao Zheng
As an important driving force for a new round of scientific and technological revolution and industrial transformation, artificial intelligence has great potential in improving corporate investment in environmental protection and promoting economic growth. However, due to data bottlenecks, there is no clear conclusion on how AI impact environmental investment at the enterprise level. Based on the annual report data of Chinese listed companies, we use machine learning methods to generate an artificial intelligence dictionary, and then constructs enterprise-level artificial intelligence indicators. Through empirical research, we find that AI can significantly improve enterprises' environmental investment. After the robustness tests such as the instrumental variable method and the propensity score matching method, the conclusion remains unchanged. Mechanism analysis shows that AI can improve firms' investment in environmental protection by alleviating financing constraints and improving information transparency. Heterogeneity analysis shows that the state-owned attributes, high tax burden and high environmental regulation of enterprises can enhance the correlation between AI and environmental protection investment. Further research finds that the increase in environmental protection investment caused by artificial intelligence can significantly reduce environmental pollution, rather than for the sake of greenwashing behavior. This article not only enriches the relevant research on the impact of corporate environmental protection investment, but also provides a theoretical basis for enterprises to further promote the development of artificial intelligence technology.
{"title":"The Impact of Artificial Intelligence on Corporate Environmental Investment","authors":"Junkai Wang;Haowen Tian;Penghao Zheng","doi":"10.1109/TEM.2024.3491940","DOIUrl":"https://doi.org/10.1109/TEM.2024.3491940","url":null,"abstract":"As an important driving force for a new round of scientific and technological revolution and industrial transformation, artificial intelligence has great potential in improving corporate investment in environmental protection and promoting economic growth. However, due to data bottlenecks, there is no clear conclusion on how AI impact environmental investment at the enterprise level. Based on the annual report data of Chinese listed companies, we use machine learning methods to generate an artificial intelligence dictionary, and then constructs enterprise-level artificial intelligence indicators. Through empirical research, we find that AI can significantly improve enterprises' environmental investment. After the robustness tests such as the instrumental variable method and the propensity score matching method, the conclusion remains unchanged. Mechanism analysis shows that AI can improve firms' investment in environmental protection by alleviating financing constraints and improving information transparency. Heterogeneity analysis shows that the state-owned attributes, high tax burden and high environmental regulation of enterprises can enhance the correlation between AI and environmental protection investment. Further research finds that the increase in environmental protection investment caused by artificial intelligence can significantly reduce environmental pollution, rather than for the sake of greenwashing behavior. This article not only enriches the relevant research on the impact of corporate environmental protection investment, but also provides a theoretical basis for enterprises to further promote the development of artificial intelligence technology.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"96-114"},"PeriodicalIF":4.6,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937846","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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