Yuran Jin, Xiaolin Zhu, Xiaoxu Zhang, Hui Wang, Xiaoqin Liu
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引用次数: 0
摘要
目的近年来,3D 打印因其定制能力受到服装企业的热烈欢迎。然而,这些服装企业不得不面对3D打印带来的数字化转型挑战。商业模式是现代企业的竞争利器,3D 打印服装企业的商业模式创新与数字化转型挑战之间存在研究空白。本文旨在为3D打印服装企业在数字化转型中创新一种新的商业模式。设计/方法/途径采用商业模式创新画布(BMIC)这一商业模式创新的新方法,在数字化转型背景下创新一种新的3D打印服装企业商业模式。商业模式创新画布(BMIC)是商业模式创新的一种新方法,用于创新数字化转型背景下的新型 3D 打印服装企业商业模式。研究结论首先,3D 打印服装企业正面临数字化转型,迫切需要创新商业模式。第二,大规模定制和分布式制造是解决 3D 打印服装企业在数字化转型过程中面临的商业模式问题的重要途径。第三,事实证明,BMIC 是商业模式创新的有效工具。研究局限/意义大规模深度定制-分布式制造(MDC-DM)新商业模式具有普适性。因此,它可以为其他学者研究类似问题提供重要的理论参考。商业模式创新过程中要考虑数字化转型背景。因此,这是首次以 3D 打印、服装企业、数字化转型和商业模式创新为研究对象的混合研究。另一方面,商业模式创新是一种探索性研究,这意味着 MDC-DM 商业模式的应用效果无法立即观察到,需要在未来进一步验证。原创性/价值通过 BMIC 创建了新的商业模式 MDC-DM,使 3D 打印服装企业能够应对数字化转型的挑战。此外,还利用 BMC 设计了 MDC-DM 商业模式的原始画布。此外,还构建了 MDC-DM 商业模式的生态系统,并全面设计了其运行机制。
Business model innovation of 3D-printing garment enterprises in digital transformation: business model innovation canvas approach
Purpose
3D printing has been warmly welcomed by clothing enterprises for its customization capacity in recent years. However, such clothing enterprises have to face the digital transformation challenges brought by 3D printing. Since the business model is a competitive weapon for modern enterprises, there is a research gap between business model innovation and digital transformation challenges for 3D-printing garment enterprises. The aim of the paper is to innovate a new business model for 3D-printing garment enterprises in digital transformation.
Design/methodology/approach
A business model innovation canvas (BMIC), a new method for business model innovation, is used to innovate a new 3D-printing clothing enterprises business model in the context of digital transformation. The business model canvas (BMC) method is adopted to illustrate the new business model. The business model ecosystem is used to design the operating architecture and mechanism of the new business model.
Findings
First, 3D-printing clothing enterprises are facing digital transformation, and they urgently need to innovate new business models. Second, mass customization and distributed manufacturing are important ways of solving the business model problems faced by 3D-printing clothing enterprises in the process of digital transformation. Third, BMIC has proven to be an effective tool for business model innovation.
Research limitations/implications
The new mass deep customization-distributed manufacturing (MDC-DM) business model is universal. As such, it can provide an important theoretical reference for other scholars to study similar problems. The digital transformation background is taken into account in the process of business model innovation. Therefore, this is the first hybrid research that has been focused on 3D printing, garment enterprises, digital transformation and business model innovation. On the other hand, business model innovation is a type of exploratory research, which means that the MDC-DM business model’s application effect cannot be immediately observed and requires further verification in the future.
Practical implications
The new business model MDC-DM is not only applicable to 3D-printing garment enterprises but also to some other enterprises that are either using or will use 3D printing to enhance their core competitiveness.
Originality/value
A new business model, MDC-DM, is created through BMIC, which allows 3D-printing garment enterprises to meet the challenges of digital transformation. In addition, the original canvas of the MDC-DM business model is designed using BMC. Moreover, the ecosystem of the MDC-DM business model is constructed, and its operation mechanisms are comprehensively designed.
期刊介绍:
The subject of innovation is receiving increased interest both from companies because of their increased awareness of the impact of innovation in determining market success and also from the research community. Academics are increasingly beginning to place innovation as a priority area in their research agenda. This impetus has been partly fuelled by the Economic & Social Research Council (ESRC) who have designated innovation as one of nine research areas in their research initiative schemes.