IEEE Engineering Management Review最新文献_第8页

Deciphering AI's Role in Corporate Innovation: A Holistic Framework of AI Resources, Capability, and Performance 解读人工智能在企业创新中的作用：人工智能资源、能力和绩效的整体框架

IEEE Engineering Management Review Pub Date : 2024-06-12 DOI: 10.1109/EMR.2024.3411550

Qian Lingxiao;Yin Ximing;Wang Yi;Chen Jin

{"title":"Deciphering AI's Role in Corporate Innovation: A Holistic Framework of AI Resources, Capability, and Performance","authors":"Qian Lingxiao;Yin Ximing;Wang Yi;Chen Jin","doi":"10.1109/EMR.2024.3411550","DOIUrl":"https://doi.org/10.1109/EMR.2024.3411550","url":null,"abstract":"Breakthroughs in artificial intelligence (AI) have spawned numerous AI companies. Yet, AI's role in facilitating corporate innovation and competence remains understudied. Based on innovation theories, the resource-based view, and the organizational change theory, we develop a holistic framework that integrates organizational AI resources, AI innovation capability, and corporate performance to depict how AI empowers corporate innovation and competence. We propose that corporate AI resources, consisting of data, human, and strategic resources, enhance their corporate performance by improving their AI innovation capability. Furthermore, we propose that a greater extent of human–machine collaboration, the ability of humans to utilize algorithms, and computational power effectively in various contexts improves corporate performance. Finally, we outline the key topics for future research, suggesting areas where further investigation could yield valuable insights into AI's role in corporate innovation. Our article offers actionable insights into companies’ AI resource allocation and new capability building for competing in the AI era. Firms should prioritize a balanced approach to manage their AI data resources, human resources, strategic resources, and human–machine collaboration to effectively enhance AI innovation capability and improve corporate performance. Our article answers how AI resources could empower corporate competence and contribute to AI innovation, organizational change theory, and resource-based view.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 2","pages":"85-95"},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Key Variables of High-Tech Products Influencing High-Tech Industries: A Hybrid Multicriteria Decision-Making Analysis 高技术产品影响高技术产业的关键变量：一种混合多准则决策分析

IEEE Engineering Management Review Pub Date : 2024-06-11 DOI: 10.1109/EMR.2024.3412116

Vikram Singh;Somesh Kumar Sharma

{"title":"Key Variables of High-Tech Products Influencing High-Tech Industries: A Hybrid Multicriteria Decision-Making Analysis","authors":"Vikram Singh;Somesh Kumar Sharma","doi":"10.1109/EMR.2024.3412116","DOIUrl":"https://doi.org/10.1109/EMR.2024.3412116","url":null,"abstract":"High-tech products (HTPs) are key drivers that help strengthen the economy of any nation. Literature advocates that most of the research focused on the marketing and exports of HTPs. However, little attention has been paid to examining the variables of HTPs that affect their development in international market competitiveness, posing a challenge for high-tech industries (HTIs). In this context, this research is a unique contribution in this domain, which aims to analyze the key variables of HTPs that influence the performance of HTIs. A theoretical framework of 8 key variables and 30 HTP variables has been developed. The fuzzy multicriteria decision-making technique is applied to prioritize, rank, and measure the interrelationships between variables. This application evolved HTP features as the most prioritized and influential key variable, followed by others, all of which are interrelated. In contrast, <italic>nearer to technological development, technical convergence trends, closely related to science</i>, quality of design, and object clarity are the top-globally ranked variables for measuring the performance of key HTP variables. These findings provide a roadmap for designers to maintain the feature of HTP, manufacturers in quality management, marker analysts to select the potential market, and management to make the best decision.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 1","pages":"33-53"},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-Driven Decision Making: The Case of Ridesharing With Implications for Engineering Managers 数据驱动的决策：拼车案例对工程经理的启示

IEEE Engineering Management Review Pub Date : 2024-06-11 DOI: 10.1109/EMR.2024.3411882

Xuan Wang;Yaojie Li;Scott Smith;Helmut Schneider

{"title":"Data-Driven Decision Making: The Case of Ridesharing With Implications for Engineering Managers","authors":"Xuan Wang;Yaojie Li;Scott Smith;Helmut Schneider","doi":"10.1109/EMR.2024.3411882","DOIUrl":"https://doi.org/10.1109/EMR.2024.3411882","url":null,"abstract":"As data-driven decision making becomes prevalent, research needs to provide more evidence to direct user decision making, particularly concerning transportation systems. In concurrence, ridesharing has been touted to reduce driving-while-intoxicated fatalities, albeit prior studies have provided inconsistent findings. A limitation of prior research on this topic is lacking adequate experimental controls while addressing the impact of potential confounds. This issue may affect potential assumptions and conclusions on whether the deployment of ridesharing services has led to a considerable reduction in driving-while-intoxicated fatalities. The present article leverages statistical modeling to control age, education, vehicle miles traveled, and metropolitan size. It reveals that ridesharing represented a 13.8% decline in driving-while-intoxicated fatalities among youths’ ages 17–34, but without significantly affecting drivers’ ages 35–65. Also, the results suggest that city population, vehicle miles traveled, and educational attainment can affect younger adults, whereas the same features were not significant for older adults. Furthermore, the article suggests that the initiation of UberX can serve as a ride-planning option to reduce driving-while-intoxicated fatalities among younger rather than older drivers. Based on the analysis results, multiple implications for transportation platform and software engineering managers are provided, especially in the areas of dispatch algorithms, requirement analysis, and ridesharing security and safety.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 1","pages":"17-32"},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Editorial Embracing Complexity and Tensions to Advance Sustainable Managerial Practice 社论拥抱复杂性和张力，推进可持续管理实践

IEEE Engineering Management Review Pub Date : 2024-06-01 DOI: 10.1109/EMR.2024.3417055

Eugenia Rosca;Alexander Brem

引用次数: 0

Call for Papers: Special Issue on Supply Chain Digitalization in the Age of (R)Evolution 征稿：变革时代的供应链数字化》特刊

IEEE Engineering Management Review Pub Date : 2024-06-01 DOI: 10.1109/EMR.2024.3399157

引用次数: 0

Stuttgart Conference On Automotive Production 斯图加特汽车生产会议

IEEE Engineering Management Review Pub Date : 2024-06-01 DOI: 10.1109/EMR.2024.3399155

引用次数: 0

A Multimetric Approach for Evaluation of ChatGPT-Generated Text Summaries 评估 ChatGPT 生成的文本摘要的多指标方法

IEEE Engineering Management Review Pub Date : 2024-06-01 DOI: 10.1109/EMR.2024.3381176

Jonas Benedikt Arnold;Dominik Hörauf

引用次数: 0

Proceedings of the IEEE 电气和电子工程师学会论文集

IEEE Engineering Management Review Pub Date : 2024-06-01 DOI: 10.1109/EMR.2024.3429056

引用次数: 0

EMR IEEE Journal of Practice EMR 《电气和电子工程师学会实践期刊

IEEE Engineering Management Review Pub Date : 2024-06-01 DOI: 10.1109/EMR.2024.3399107

引用次数: 0

Call for Submissions: IEEE Engineering Management Review 征集稿件：IEEE 工程管理评论

IEEE Engineering Management Review Pub Date : 2024-06-01 DOI: 10.1109/EMR.2024.3399159

引用次数: 0