A “User-Knowledge-Product” Co-Creation Cyberspace Model for Product Innovation

Wu, Yu; Wu, Jiacong; Zhang, Ru; Shafiee, Sara; Li, Cheng

doi:10.1155/2020/7190169

Cited by 12 publications

(8 citation statements)

References 22 publications

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“…With the rapid development of product technology and changes in customer expectations regarding personalized consumption, competition among manufacturing enterprises has become increasingly fierce, and the integration of products and services has become a new industrial form [1,2]. e typical characteristics of product service integration are fully demonstrated in the smart phone, shared car, and smart home appliance industries.…”

Section: Introductionmentioning

confidence: 99%

A Product Service Supply Chain Network Equilibrium Model considering Capacity Constraints

Peng

et al. 2020

Mathematical Problems in Engineering

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With the further development of manufacturing servitization, the supply chain established by enterprises has gradually evolved into a product service supply chain. The introduction of service flow has made supply chain management more complicated. In this paper, we build a product service supply chain network composed of raw material suppliers, service providers, manufacturing integrators, and customers. The equilibrium model for decision-makers at all levels is established by variational inequality. In particular, we emphasize the impact of product and service capacity constraints and changes in the product service integration ratio on network equilibrium. The results show that, while capacity constraints on production tend to stabilize and unify the market price, service-related capacity constraints polarize the customer pay price. That is to say, product capability constraints limit the quality of product service systems, while service capability constraints limit the types of product service systems. Furthermore, the introduction of service flow and integration with products creates a more closely networked relationship between the upper and lower layers of the product service supply chain, and an increase in the service proportion will increase the network equilibrium profit.

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Section: Introductionmentioning

confidence: 99%

A Product Service Supply Chain Network Equilibrium Model considering Capacity Constraints

Peng

et al. 2020

Mathematical Problems in Engineering

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“…If the coffee shop can accomplish this, it will increase the supply side's flexibility. However, before introducing the product to consumers, market research must be conducted to ensure that there is no market failure [24]. On the relationship between product efficiency and supply side flexibility, different results were obtained, with the results indicating a positive effect but at a low level of significance.…”

Section: Figure 1 the Results Of Research Modelmentioning

confidence: 99%

Investigating Supply-Side Flexibility to Support Sustainability Business Performance: Learning from Coffee Shops in Malang City

Aprilia¹,

Laili²,

Setyowati³

et al. 2021

Proceedings of the International Conference on Innovation and Technology (ICIT 2021)

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An important dimension of value chain flexibility is supply-side flexibility, which refers to the range and ability to accommodate changes in production output related to internal operating efficiency. Meanwhile, flexibility in supply chain networks can help reduce supply chain risk when dealing with uncertainty. Therefore, supply-side flexibility is crucial in responding to consumer demand to improve business sustainability and competitiveness. This research aims to examine the impact of product efficiency, product complexity, and operational risk on supply-side flexibility (volume). A total of 56 respondents who are coffee shop business owners in Malang city have been used as samples for this research. Of course, the number of samples has been adjusted to the bare minimum of data requirements for research analysis, namely PLS-SEM approach. The findings show that product efficiency and product complexity have a significant direct effect on supply-side flexibility, whereas operation risk has no significant direct effect. Our findings contribute to the literature on supply chain management by filling gaps and assisting managers in making strategic decisions regarding flexibility that support business sustainability.

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“…The literature primarily presents DT as an approach to develop more creative ideas or more empathetic designs to meet customer needs (Brown, 2008; Carlgren et al , 2014; Dunne and Martin, 2006). Much perceived value and many effects of DT indeed reflect user-centeredness and co-creation with users (Wang et al , 2020); however, DT brings something more than a human-centered method: prototyping, an initially difficult but surprisingly useful aspect of design (Carlgren et al , 2014). Prototyping is not only a way to learn and expand ideas but also to communicate with decision-makers and new team members.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of design thinking to product-configuration projects

Shafiee

Haug²,

Kristensen

et al. 2020

JMTM

Self Cite

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PurposeProduct configurators are expert systems that support product customization by defining how predefined entities and their properties may be combined. Developers of configuration systems act as designers, although they do not often recognize that they are performing as such. Moreover, exploring solution spaces is typically not integral to configuration projects, as this task is typically perceived as mapping existing knowledge to the configurator. This article argues that developing configurators may be understood by distinguishing between the problem and solution spaces using design thinking (DT).Design/methodology/approachA multiple-case-study approach with four configuration projects is adopted to study two projects involving DT and compare them to two similar projects not involving DT. Data collection depended on multiple data sources via workshops and semi-structured interviews.FindingsFirst, DT methods and concept–knowledge (C-K) theory are integrated into configuration projects. Second, the application of DT during configurator development is presented through workshops and interviews, which demonstrates the benefits of DT in overcoming existing challenges.Research limitations/implicationsThe case studies demonstrate the successful implementation of DT in developing configurators. However, a limited number of cases in only one company limits the generalizability of the results.Practical implicationsThe framework's individual steps create a structured approach to supporting industrial companies with a toolbox of DT techniques and methods for configuration projects.Originality/valueThe results show that the application of DT to configuration projects can improve user motivation, stakeholder satisfaction and knowledge acquisition.

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A “User-Knowledge-Product” Co-Creation Cyberspace Model for Product Innovation

Cited by 12 publications

References 22 publications

A Product Service Supply Chain Network Equilibrium Model considering Capacity Constraints

A Product Service Supply Chain Network Equilibrium Model considering Capacity Constraints

Investigating Supply-Side Flexibility to Support Sustainability Business Performance: Learning from Coffee Shops in Malang City

Application of design thinking to product-configuration projects

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