Journal of Engineering and Technology Management最新文献_第3页

Understanding the development of emerging complex intelligent systems 了解新兴复杂智能系统的发展

IF 4.8 3区管理学

Journal of Engineering and Technology Management Pub Date : 2024-04-01 DOI: 10.1016/j.jengtecman.2024.101815

Appu Balachandran , Gunnar Holmberg , Nicolette Lakemond

引用次数: 0

Balanced or imbalanced, that is the question: The effect of R&D/marketing power structure on new product development time 平衡还是失衡，这是一个问题：研发/营销权力结构对新产品开发时间的影响

IF 4.8 3区管理学

Journal of Engineering and Technology Management Pub Date : 2024-04-01 DOI: 10.1016/j.jengtecman.2024.101817

Chia-Yang Chang , Yung-Chien Lou , Lien-Ti Bei

{"title":"Balanced or imbalanced, that is the question: The effect of R&D/marketing power structure on new product development time","authors":"Chia-Yang Chang , Yung-Chien Lou , Lien-Ti Bei","doi":"10.1016/j.jengtecman.2024.101817","DOIUrl":"https://doi.org/10.1016/j.jengtecman.2024.101817","url":null,"abstract":"<div><p>Accelerating new product development (NPD) to gain a first-mover advantage is crucial in today's competitive business landscape. This paper aims to examine the effective power structure in NPD projects through the lens of two divergent theoretical perspectives: Information Processing Theory (IPT) and Resource Dependence Theory (RDT). While IPT suggests the benefit of a balanced decision-making power among various subunits, RDT advocates for a concentrated decision power for faster consensus and efficiency. Our research specifically investigates whether a balanced or imbalanced R&D/marketing power structure is more conducive to accelerating NPD time. This focus stems from the recognition that the interplay between R&D and marketing is critical in shaping NPD outcomes, though we acknowledge the broader context of multifunctional collaboration in NPD, including aspects like manufacturing. The paper tests two competing hypotheses: one advocating a balanced R&D/marketing power structure as per IPT, and the other supporting a dominant R&D/marketing power structure in line with RDT. We surveyed project leaders, R&D, and marketing personnel from 126 NPD projects across 87 Taiwanese firms. The empirical results significantly endorse the balanced R&D/marketing power structure hypothesis, suggesting that a harmonious collaboration between these two key subunits can expedite NPD processes. Our findings contribute to both academic research and managerial practice by offering nuanced insights into optimizing power structures within NPD teams, particularly highlighting the efficacy of a balanced R&D/marketing approach in the context of the prevalent theories.</p></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140906698","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}

引用次数: 0

Demographic and social differences in autonomous vehicle technology acceptance in Hungary 匈牙利接受自动驾驶汽车技术的人口和社会差异

IF 4.8 3区管理学

Journal of Engineering and Technology Management Pub Date : 2024-04-01 DOI: 10.1016/j.jengtecman.2024.101813

Melinda Jászberényi , Katalin Ásványi , Csaba Csiszár , László Kökény

{"title":"Demographic and social differences in autonomous vehicle technology acceptance in Hungary","authors":"Melinda Jászberényi , Katalin Ásványi , Csaba Csiszár , László Kökény","doi":"10.1016/j.jengtecman.2024.101813","DOIUrl":"https://doi.org/10.1016/j.jengtecman.2024.101813","url":null,"abstract":"<div><p>Progress in automation has resulted in a growing number of autonomous vehicles (AVs). However, demographic and social differences behind the acceptance of AV technology are an emerging topic in the East-Central European region. These countries (e.g., Poland, Slovakia, Romania) move on a similar technological development path, and the social and economic conditions are alike; thus, Hungary represents this region well. This study contributes to fill this niche. We used quantitative research methods (factor analysis, Kruskal-Wallis H test, Pearson-correlation) to analyze with a snowball (non-probability) sampling. The Hungarian respondents (N=949) selected in the sample were interviewed through a face-to-face and online quantitative questionnaire. The results show that gender and age influence mostly the acceptance; residence and occupation have only partial influence. The propensity to take risks is significantly differentiated in almost all demographic segments. The results facilitate differentiation of users based on their demographic characteristics in AV adoption. Furthermore, the integration of risk propensity into the analysis helps to identify which potential user groups are more likely to overcome any fears of novelty or which clusters are more likely to adopt the current framework of safe transport without driver control. The outcomes are of interest to engineers, manufacturers and policy-makers who can adapt their products, services and taking measures to meet the mobility needs of potential users and introduce effective incentives to increase public acceptance of AVs.</p></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0923474824000183/pdfft?md5=2930a6a58a135f09375d6d782deae221&pid=1-s2.0-S0923474824000183-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140347400","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}

引用次数: 0

How established firms build digital capabilities for business model innovation: An exploratory case study 老牌企业如何建立商业模式创新的数字化能力：探索性案例研究

IF 4.8 3区管理学

Journal of Engineering and Technology Management Pub Date : 2024-04-01 DOI: 10.1016/j.jengtecman.2024.101819

Liping Liang , Siyuan Chen , Dong Wu , Xiaobo Wu

引用次数: 0

Learning ambidexterity and technology innovation: The moderating effect of knowledge network modularity 学习灵活性与技术创新：知识网络模块化的调节作用

IF 4.8 3区管理学

Journal of Engineering and Technology Management Pub Date : 2024-03-19 DOI: 10.1016/j.jengtecman.2024.101812

Ziyi Zhao , Yulan Shen

{"title":"Learning ambidexterity and technology innovation: The moderating effect of knowledge network modularity","authors":"Ziyi Zhao , Yulan Shen","doi":"10.1016/j.jengtecman.2024.101812","DOIUrl":"https://doi.org/10.1016/j.jengtecman.2024.101812","url":null,"abstract":"<div><p>The aim of this paper is to investigate the impact of learning ambidexterity on firms’ technological innovation, especially in the context of varying degrees of modularity in firms’ knowledge networks. By combining temporal and cognitive aspects, this study focuses on the micro-level utilization of knowledge and redefines exploratory and exploitative learning as learning unfamiliar and familiar knowledge, respectively. Building upon previous research, we classify learning ambidexterity into combined and balanced forms, further investigate their influence on innovation performance. Utilizing a panel data set spanning 10 years of 63 semiconductor firms listed in the US market, our findings reveal that combined learning ambidexterity effectively harnesses the complementary effects of both learning patterns, resulting in a positive influence on technological innovation. Conversely, balanced learning ambidexterity hampers knowledge transferability between these two patterns leading to a negative impact on technological innovation. Additionally, we employ patent data to measure the degree of modularity within firms’ knowledge networks. Our results indicate that higher levels of modularity enhance the positive effect of combined learning ambidexterity on innovation while mitigating its negative impact for balanced learning ambidexterity. These findings suggest the importance for firms to strategically manage and dynamically orchestrate learning ambidexterity alongside double-loop learning practices, while continuously structuring and facilitating reuse within organizational knowledge networks to create favorable circumstances for the effective implementation of learning ambidexterity.</p></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140162304","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}

引用次数: 0

The impact of dynamic capabilities of platform firms on value co-creation - An empirical study based on chinese firms 平台型企业动态能力对价值共创的影响--基于中国企业的实证研究

IF 4.8 3区管理学

Journal of Engineering and Technology Management Pub Date : 2024-03-08 DOI: 10.1016/j.jengtecman.2024.101804

Yu-lian Liu, Fu-lin Wang

引用次数: 0

Exploring team roles for social innovation labs: Toward a competence-based role self-assessment approach 探索社会创新实验室的团队角色：采用基于能力的角色自我评估方法

IF 4.8 3区管理学

Journal of Engineering and Technology Management Pub Date : 2024-01-01 DOI: 10.1016/j.jengtecman.2024.101799

Ferney Osorio , Fabio Cruz , Mauricio Camargo , Laurent Dupont , José Ismael Peña

引用次数: 0

Project performance and innovation: The impact of absorptive capacity and learning culture 项目绩效与创新：吸收能力和学习文化的影响

IF 4.8 3区管理学

Journal of Engineering and Technology Management Pub Date : 2024-01-01 DOI: 10.1016/j.jengtecman.2024.101797

Rodrigo Valio Dominguez Gonzalez

引用次数: 0

Exploring Corporate Governance on Post-IPO Performance of R&D Intensive New Public Firms 探究公司治理对研发密集型新上市公司上市后绩效的影响

IF 4.8 3区管理学

Journal of Engineering and Technology Management Pub Date : 2024-01-01 DOI: 10.1016/j.jengtecman.2024.101796

Manali Chatterjee , Titas Bhattacharjee , Bijitaswa Chakraborty , Tugrul Daim , Birgul Kupeli

引用次数: 0

Impact of artificial intelligence on aeronautics: An industry-wide review 人工智能对航空业的影响：全行业审查

IF 4.8 3区管理学

Journal of Engineering and Technology Management Pub Date : 2024-01-01 DOI: 10.1016/j.jengtecman.2024.101800

Amina Zaoui , Dieudonné Tchuente , Samuel Fosso Wamba , Bernard Kamsu-Foguem

{"title":"Impact of artificial intelligence on aeronautics: An industry-wide review","authors":"Amina Zaoui , Dieudonné Tchuente , Samuel Fosso Wamba , Bernard Kamsu-Foguem","doi":"10.1016/j.jengtecman.2024.101800","DOIUrl":"https://doi.org/10.1016/j.jengtecman.2024.101800","url":null,"abstract":"<div><p>Curiously, there are few contributions in the scientific literature on the subject of artificial intelligence (AI) and its impact on aeronautics. However, many communications and reports have been published by aeronautic companies about their applications of AI technologies. This article makes an industry-wide review of AI in aeronautics using a three-step sequential approach: (i) a review of AI and its concepts to define and develop a conceptual map; (ii) a selection of 100 use cases from aeronautics companies that use AI technologies (e.g., Airbus, Boeing, Air France, Safran, EasyJet, Dassault Aviation, Altair); and (iii) an analysis of the use cases using the topics defined in the conceptual map. The main results describe a rising interest in the integration of AI technologies by entities in the aeronautic sector. Moreover, the results from the use cases show that the most recurrent technologies are big data analytics, autonomous intelligent systems, predictive analytics, machine learning, and robotics. Another finding is related to the several benefits that motivate companies to integrate AI technologies into their industrial and operational processes. The most frequent benefits include customer satisfaction, saving time, safety and security, cost reduction, better decision making, solving complex problems, and ensuring optimisation and efficiency. It also appears that the performance of companies is positively impacted by using these AI technologies. Such impacts span all operational departments including marketing, where these technologies help satisfy customer needs; the industrial and operational area, which is provided with quality products; and where productivity and economic performance are optimised for more efficiency.</p></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0923474824000055/pdfft?md5=5acc2132cd8372de186673660ebf15e2&pid=1-s2.0-S0923474824000055-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139907819","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}

引用次数: 0