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}
Pub Date : 2024-11-26DOI: 10.1109/TEM.2024.3506991
Érico Marcon;Giuliano Almeida Marodin;Alejandro G. Frank
Industry 4.0 has been conceived to enhance factory productivity, significantly impacting social aspects such as hierarchical structures, workers' skills, and operational routines. As digital technologies reshape factory activities, the need to support workers and their social environment has become crucial. This article discusses the importance of viewing Industry 4.0 as a sociotechnical system where human and technological elements interact. Despite the recognition of sociotechnical factors in the existing literature, a key gap remains: the interrelation of these factors is often overlooked. We propose using the configurational view, which considers different patterns of sociotechnical configurations within organizations. We analyze 132 manufacturing companies, identifying four distinct sociotechnical configurations. The results indicate that companies combining both social and organizational factors—termed “sociotechnical masters”—achieve the highest performance levels. We contribute to the literature by demonstrating how the integration of sociotechnical and configurational theories offers a more comprehensive framework for interpreting and guiding Industry 4.0 implementation. From a practical standpoint, we provide a detailed list of organizational and social factors to assist managers in establishing a balanced sociotechnical system that supports the successful adoption of Industry 4.0 technologies. In addition, we show how the combination of these factors can improve operational performance metrics.
{"title":"Combining Organizational and Social Factors to Support Industry 4.0 Implementation: A Sociotechnical and Configurational Analysis of Technology Adopters","authors":"Érico Marcon;Giuliano Almeida Marodin;Alejandro G. Frank","doi":"10.1109/TEM.2024.3506991","DOIUrl":"https://doi.org/10.1109/TEM.2024.3506991","url":null,"abstract":"Industry 4.0 has been conceived to enhance factory productivity, significantly impacting social aspects such as hierarchical structures, workers' skills, and operational routines. As digital technologies reshape factory activities, the need to support workers and their social environment has become crucial. This article discusses the importance of viewing Industry 4.0 as a sociotechnical system where human and technological elements interact. Despite the recognition of sociotechnical factors in the existing literature, a key gap remains: the interrelation of these factors is often overlooked. We propose using the configurational view, which considers different patterns of sociotechnical configurations within organizations. We analyze 132 manufacturing companies, identifying four distinct sociotechnical configurations. The results indicate that companies combining both social and organizational factors—termed “sociotechnical masters”—achieve the highest performance levels. We contribute to the literature by demonstrating how the integration of sociotechnical and configurational theories offers a more comprehensive framework for interpreting and guiding Industry 4.0 implementation. From a practical standpoint, we provide a detailed list of organizational and social factors to assist managers in establishing a balanced sociotechnical system that supports the successful adoption of Industry 4.0 technologies. In addition, we show how the combination of these factors can improve operational performance metrics.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"146-160"},"PeriodicalIF":4.6,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937851","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 : 2024-11-22DOI: 10.1109/TEM.2024.3504740
Yan Wang;Naiding Yang;Chunxiao Xie;Mingzhen Zhang;Sayed Muhammad Fawad Sharif
Network position has long been a focal point for network researchers. In today's dynamic environment, firms' positions within networks change over time. While evidence suggests that dynamic positioning is important for innovation, the exact relationship between the two remains unclear. Furthermore, empirical studies on how firms can improve their positions within networks are limited, significantly hindering the practical value of network position research. This article draws on network dynamics and social embeddedness theory to integrate dynamic network capability and the type of product innovation—modular innovation and architectural innovation—into a model that examines the driving and action paths of dynamic positioning in the complex product domain. Results from a sample of 270 complex product firms across eight key cities in China indicate that dynamic network capability is positively correlated with dynamic positioning, characterized by increased centrality and structural holes. These enhanced positions, in turn, positively influence innovation. In addition, the study finds that modular innovation strengthens the positive impact of increased centrality on innovation while architectural innovation weakens this effect. However, neither modular innovation nor architectural innovation moderates the relationship between increased structural holes and innovation. This study provides a dynamic perspective on network position, offering valuable insights and guidance for firms seeking to enhance their positions and drive innovation in the complex product domain.
{"title":"Position and Value: Dynamic Network Capability, Dynamic Positioning, and Innovation in Complex Product Domain","authors":"Yan Wang;Naiding Yang;Chunxiao Xie;Mingzhen Zhang;Sayed Muhammad Fawad Sharif","doi":"10.1109/TEM.2024.3504740","DOIUrl":"https://doi.org/10.1109/TEM.2024.3504740","url":null,"abstract":"Network position has long been a focal point for network researchers. In today's dynamic environment, firms' positions within networks change over time. While evidence suggests that dynamic positioning is important for innovation, the exact relationship between the two remains unclear. Furthermore, empirical studies on how firms can improve their positions within networks are limited, significantly hindering the practical value of network position research. This article draws on network dynamics and social embeddedness theory to integrate dynamic network capability and the type of product innovation—modular innovation and architectural innovation—into a model that examines the driving and action paths of dynamic positioning in the complex product domain. Results from a sample of 270 complex product firms across eight key cities in China indicate that dynamic network capability is positively correlated with dynamic positioning, characterized by increased centrality and structural holes. These enhanced positions, in turn, positively influence innovation. In addition, the study finds that modular innovation strengthens the positive impact of increased centrality on innovation while architectural innovation weakens this effect. However, neither modular innovation nor architectural innovation moderates the relationship between increased structural holes and innovation. This study provides a dynamic perspective on network position, offering valuable insights and guidance for firms seeking to enhance their positions and drive innovation in the complex product domain.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"176-190"},"PeriodicalIF":4.6,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937849","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 : 2024-11-20DOI: 10.1109/TEM.2024.3486250
Mourad Chouki;Mahrane Hofaidhllaoui;Maryam Kefi Ben Chehida;Laurent Giraud;Marina Dabić
This article examines the impact of design thinking on the implementation of agile methods by user experience designers, with a focus on the roles of coordination and user testing as mediators. Data were collected from an online survey of 431 user experience designers in France between 2020 and 2022 and analyzed using structural equation modeling ( partial least squares regressions ). The results reveal a positive direct effect of research on conception and a positive direct effect of conception on user testing. In addition, a positive direct effect of user testing and coordination on the implementation of agile methods was observed. The research and conception dimensions of design thinking also exert a positive effect on agile methods through coordination. Finally, user testing fully mediates the relationship between conception and agile methods. The discussion addresses the theoretical and managerial implications of these findings and suggests directions for future research.
{"title":"“Design-Led Agility: Unraveling the Influence of Design Thinking in the Agile Methodology Journey by User Experience Designers”","authors":"Mourad Chouki;Mahrane Hofaidhllaoui;Maryam Kefi Ben Chehida;Laurent Giraud;Marina Dabić","doi":"10.1109/TEM.2024.3486250","DOIUrl":"https://doi.org/10.1109/TEM.2024.3486250","url":null,"abstract":"This article examines the impact of design thinking on the implementation of agile methods by user experience designers, with a focus on the roles of coordination and user testing as mediators. Data were collected from an online survey of 431 user experience designers in France between 2020 and 2022 and analyzed using structural equation modeling (\u0000<italic>partial least squares regressions</i>\u0000). The results reveal a positive direct effect of research on conception and a positive direct effect of conception on user testing. In addition, a positive direct effect of user testing and coordination on the implementation of agile methods was observed. The research and conception dimensions of design thinking also exert a positive effect on agile methods through coordination. Finally, user testing fully mediates the relationship between conception and agile methods. The discussion addresses the theoretical and managerial implications of these findings and suggests directions for future research.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15478-15494"},"PeriodicalIF":4.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142753859","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 : 2024-11-18DOI: 10.1109/TEM.2024.3500359
Xu Liu;He Xu;Stuart X. Zhu
The adoption of blockchain technology has spurred significant growth in the global Non-fungible tokens (NFT) market, which distinguishes itself from traditional markets by features such as free second-hand transactions and creator royalties. To navigate this burgeoning landscape, diverse business models have emerged, such as No secondary market and no royalties, Secondary market but no royalties, and Secondary market with royalties (mandatory royalty). In response, our theoretical model delves into the impact of these models on creator decisions, profits, consumer surplus, and social welfare. The NFT secondary market proves pivotal, enabling creators to set higher prices and enhance profits. Interestingly, introducing a creator royalty, under certain conditions, further boosts profits. Contrary to expectations, a low royalty doesn't always harm consumers; in fact, a sufficiently high royalty prompts creators to lower regular selling prices, fostering secondary transactions and expanding consumer surplus. Beyond the secondary market's conventional role in improving social welfare, our research reveals that a well-calibrated royalty, coupled with creator investment in NFT quality, can amplify social welfare. A low royalty incentivizes creators to prioritize highquality NFT production. We also scrutinize mandatory versus optional royalty policies (Consumer Optional Royalty), finding that the creator's profit is higher under the optional royalty framework with moderate or substantial royalties. We recommend that NFT creators opt for a medium royalty rate when given the choice to set it themselves. Otherwise, in instances where the royalty rate is predetermined, creators are better with mandatory (optional) royalty when royalty is small (large).
{"title":"Optimizing the Nonfungible Token Ecosystem: Effects of Business Models, Secondary Markets, and Royalties","authors":"Xu Liu;He Xu;Stuart X. Zhu","doi":"10.1109/TEM.2024.3500359","DOIUrl":"https://doi.org/10.1109/TEM.2024.3500359","url":null,"abstract":"The adoption of blockchain technology has spurred significant growth in the global Non-fungible tokens (NFT) market, which distinguishes itself from traditional markets by features such as free second-hand transactions and creator royalties. To navigate this burgeoning landscape, diverse business models have emerged, such as No secondary market and no royalties, Secondary market but no royalties, and Secondary market with royalties (mandatory royalty). In response, our theoretical model delves into the impact of these models on creator decisions, profits, consumer surplus, and social welfare. The NFT secondary market proves pivotal, enabling creators to set higher prices and enhance profits. Interestingly, introducing a creator royalty, under certain conditions, further boosts profits. Contrary to expectations, a low royalty doesn't always harm consumers; in fact, a sufficiently high royalty prompts creators to lower regular selling prices, fostering secondary transactions and expanding consumer surplus. Beyond the secondary market's conventional role in improving social welfare, our research reveals that a well-calibrated royalty, coupled with creator investment in NFT quality, can amplify social welfare. A low royalty incentivizes creators to prioritize highquality NFT production. We also scrutinize mandatory versus optional royalty policies (Consumer Optional Royalty), finding that the creator's profit is higher under the optional royalty framework with moderate or substantial royalties. We recommend that NFT creators opt for a medium royalty rate when given the choice to set it themselves. Otherwise, in instances where the royalty rate is predetermined, creators are better with mandatory (optional) royalty when royalty is small (large).","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15525-15539"},"PeriodicalIF":4.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789024","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 : 2024-11-13DOI: 10.1109/TEM.2024.3494051
Marina Dabić;João J. Ferreira;João M. Lopes;Sofia Gomes
Drone parcel delivery is an emerging topic with drone suppliers and retailers concerned due to their challenges and implications. Despite the many advantages associated with the drone delivery service, there are still obstacles to its acceptance by consumers, which is why it is necessary to understand their motivations. This study aims to analyze consumer behavior in the adoption of drone services. Specifically, the study analyzes the influence of perceived ease of use, perceived usefulness, and perceived privacy risk on consumers' attitudes toward drone delivery services and their intention to adopt this service. The sample, collected through a questionnaire, comprises answers from 1108 Portuguese citizens. The partial least squares method was used to test the purpose of this study. The results suggest that consumers' willingness to adopt drone delivery services is positively affected by the perception of ease of use and usefulness. At the same time, it is negatively influenced by perceived privacy risk. In addition, consumers' attitudes significantly influence consumers' intention to use these services in the future. Geographic adoption of drone delivery services is still limited. This study allows us to deepen our knowledge about the potential consumers of this service, which is very useful for its more universal adoption, and we propose to test the extended TAM model for ease of use of drone technologies by Portuguese consumers.
{"title":"Consumer Preferences and Barriers in the Adoption of Drone Delivery Services: A Comprehensive Analysis","authors":"Marina Dabić;João J. Ferreira;João M. Lopes;Sofia Gomes","doi":"10.1109/TEM.2024.3494051","DOIUrl":"https://doi.org/10.1109/TEM.2024.3494051","url":null,"abstract":"Drone parcel delivery is an emerging topic with drone suppliers and retailers concerned due to their challenges and implications. Despite the many advantages associated with the drone delivery service, there are still obstacles to its acceptance by consumers, which is why it is necessary to understand their motivations. This study aims to analyze consumer behavior in the adoption of drone services. Specifically, the study analyzes the influence of perceived ease of use, perceived usefulness, and perceived privacy risk on consumers' attitudes toward drone delivery services and their intention to adopt this service. The sample, collected through a questionnaire, comprises answers from 1108 Portuguese citizens. The partial least squares method was used to test the purpose of this study. The results suggest that consumers' willingness to adopt drone delivery services is positively affected by the perception of ease of use and usefulness. At the same time, it is negatively influenced by perceived privacy risk. In addition, consumers' attitudes significantly influence consumers' intention to use these services in the future. Geographic adoption of drone delivery services is still limited. This study allows us to deepen our knowledge about the potential consumers of this service, which is very useful for its more universal adoption, and we propose to test the extended TAM model for ease of use of drone technologies by Portuguese consumers.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"47-61"},"PeriodicalIF":4.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938225","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 : 2024-11-12DOI: 10.1109/TEM.2024.3496494
Shiyi Tang;Liangliang Zhang;Yong Xu
Despite extensive research on the benefits of enterprise digital transformation (EDT) to innovation, information about its dark side is scarce. Drawing on the resource dependence theory (RDT) and using samples of Chinese listed enterprises from 2010 to 2019, we adopt the double-fixed-effects model, mediation effect model, and moderation effect model to explore how EDT affects symbolic innovation (SI), as well as discussing the moderating roles of government research and development (R&D) subsidies, economic policy uncertainty (EPU), and media coverage (MC). We found that EDT induces SI by increasing executive performance pressure (Pressure) and managerial myopia (Myopia). Such effects are weakened by R&D and EPU but strengthened by MC. Enterprises with higher digital levels and lower substantive innovation levels are more inclined to engage in SI. Our conclusions are still robust after using a series of robustness tests. This study not only sheds light on the role of EDT in stimulating SI, thereby enriching the RDT, but also contributes to optimize decision-making by both business owners and governments.
{"title":"Every Coin Has Two Sides: Enterprise Digital Transformation and Symbolic Innovation","authors":"Shiyi Tang;Liangliang Zhang;Yong Xu","doi":"10.1109/TEM.2024.3496494","DOIUrl":"https://doi.org/10.1109/TEM.2024.3496494","url":null,"abstract":"Despite extensive research on the benefits of enterprise digital transformation (EDT) to innovation, information about its dark side is scarce. Drawing on the resource dependence theory (RDT) and using samples of Chinese listed enterprises from 2010 to 2019, we adopt the double-fixed-effects model, mediation effect model, and moderation effect model to explore how EDT affects symbolic innovation (SI), as well as discussing the moderating roles of government research and development (R&D) subsidies, economic policy uncertainty (EPU), and media coverage (MC). We found that EDT induces SI by increasing executive performance pressure (Pressure) and managerial myopia (Myopia). Such effects are weakened by R&D and EPU but strengthened by MC. Enterprises with higher digital levels and lower substantive innovation levels are more inclined to engage in SI. Our conclusions are still robust after using a series of robustness tests. This study not only sheds light on the role of EDT in stimulating SI, thereby enriching the RDT, but also contributes to optimize decision-making by both business owners and governments.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15465-15477"},"PeriodicalIF":4.6,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142753872","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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