Learning curve applications in Industry 4.0: a scoping review

Tortorella, Guilherme Luz; Fogliatto, Flávio Sanson; Anzanello, Michel J.; Vassolo, Roberto; Antony, Jiju; Otto, Kevin; Kagioglou, Mike

doi:10.1080/09537287.2022.2150905

Cited by 7 publications

(1 citation statement)

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“…For example, Tesla introduced its first vehicle, the Roadster, at a high price point targeting the affluent market segment and gradually reduced prices over time. Finally, as industry 4.0, modelling and simulation, and big data analysis become prevalent in today's industries, some experts are finding learning curve to be a natural extension of these technologies (Tamás & Koltai, 2020), (Tortorella et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Learning-Curve Applications for Emerging Products and Services

Rahman,

Kirby

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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A learning curve is a powerful tool for companies producing large lots or cutting-edge products, enabling them to negotiate cost savings. New products and services are crucial for the growth of any business, particularly in the technology sector. However, they also come with inherent risks. One of these challenges is the learning curve associated with new offerings. Companies can assess the cost savings of acquiring new skills by applying the learning curve. A common mistake is to price new products solely based on their initial manufacturing costs. However, if businesses utilize the learning curve effectively, it can be a valuable tool for estimating costs, improving productivity, and achieving long-term profitability. Understanding and implementing the learning curve empowers companies to make informed pricing, resource allocation, and project management decisions. It allows them to optimize their processes and identify opportunities for cost reduction and improved performance. The study aims to determine the learning rate for emerging or exceptionally large-scale products where traditional learning curve theory may not readily apply. This research will show how large corporations and defense organizations can effectively use the learning curve to manage extensive projects involving emerging products and services.

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Section: Introductionmentioning

confidence: 99%

Learning-Curve Applications for Emerging Products and Services

Rahman,

Kirby

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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University technology transfer: leveraging experiential learning and TTO’s resources

Sallan,

Lordan

2024

Small Bus Econ

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We examine how experiential learning from both previous technology transfer experience and the disclosure of discoveries impact universities’ technology transfer outcomes, in terms of the number of spinoffs created and licenses granted, while acknowledging that TTOs provide specialized resources that support technology transfer processes. By using panel data models on a sample of public Spanish universities for the 2006–2011 period, our model introduces discovery disclosures as an instrument to account for the endogenous nature of the scientific research process. Results show that spinoff creation and license granting depend on their own experiential learning and on the number of discovery disclosures, which in turn depends on its own experiential learning. Technology transfer is influenced by two learning processes connected to technology transfer outcomes and discovery disclosures. Also, the effect of TTOs’ specific resources appears as not significant. In the context of Spanish universities, the findings support the view that, compared to TTOs’ staff specialization, accumulated knowledge from their own experience adds more value for generating technology transfer outcomes.

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