采用增材制造的关键成功因素:对循环经济模式的综合影响

IF 13.3 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2025-04-01 Epub Date: 2025-02-16 DOI:10.1016/j.techfore.2025.124041
Javed Aslam , Aqeela Saleem , Kee-hung Lai , Yun Bae Kim
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引用次数: 0

摘要

增材制造(AM)或三维(3D)打印是一项塑造制造业的新兴技术,为社会和经济提供了性能改进的机会。AM通过实现可持续消费和生产来支持循环经济。本研究通过对487家制造企业管理者的调查数据,确定了绩效预期、努力预期、促进条件、社会影响、环境可持续性、社会可持续性、技术有效性和政府支持等因素来确定AM的采用。该研究提出了一个整合了技术接受与使用统一理论(UTAUT)和技术-组织-环境(TOE)的理论框架,为指导未来的研究和行业决策提供了有价值的见解。研究表明,确定的关键成功因素显著影响AM的实施。此外,AM的采用如何支持CE的实施,这是一种促进可持续增长的新的生产和消费模式。该研究指导了管理人员在AM和CE模型之间的联系,并建议实施CE实践作为其AM采用战略的组成部分。
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Critical successes factors for the adoption of additive manufacturing: Integrated impact for circular economy model
Additive manufacturing (AM) or three-dimensional (3D) printing is an emerging technology shaping the manufacturing industry, offering performance improvement opportunities for society and the economy. AM supports the circular economy (CE) by enabling sustainable consumption and production. This study identifies factors of performance expectancy, effort expectancy, facilitating conditions, social influence, environmental sustainability, social sustainability, technical efficacy, and government support to determine the adoption of AM with survey data collected from 487 managers of manufacturing enterprises. The study proposed a theoretical framework that integrates the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology-Organization-Environment (TOE), providing valuable insight that can guide future research and inform decision-making in the industry. The study revealed that identified critical success factors have significantly influenced AM implementation. Furthermore, how AM adoption supports the implementation of CE, a new production and consumption model promoting sustainable growth. The study guides the managers in the connection between the AM and CE models and suggests implementing CE practices as an integral part of their AM adoption strategy.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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