{"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}
{"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}
{"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}
{"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}
Andrea S. Patrucco;Paola Bellis;Daniel Trabucchi;Tommaso Buganza
{"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}
{"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}
{"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}
{"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}
Érico Marcon;Giuliano Almeida Marodin;Alejandro G. Frank
{"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}
Yan Wang;Naiding Yang;Chunxiao Xie;Mingzhen Zhang;Sayed Muhammad Fawad Sharif
{"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}