Managing Green Logistics Chains for the Automotive Industry

Stawiarska, Ewa

doi:10.5593/sgem2018/5.2/s20.078

Cited by 1 publication

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“…They employ managerial methods and tools that shape innovative supply chains and increase their innovation performance. The currently mentioned activities cannot be called systemic because the innovativeness of suppliers and their impact on the integrator's innovation performance is not measured [25][26][27]30].…”

Section: Advanced Ict Tools For Supporting Knowledge Management In Ormentioning

confidence: 99%

Management of Innovation Performance on the Example of the Automotive Supply Chains

Stawiarska¹

2020

Sustainable Mobility

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The chapter presents original research showing the relationship between expenditures on developing systems (including IT) supporting innovation management of supply chains of three international automotive companies and their innovation performance. A novelty in comparison to previous (cited) studies is that the calculated correlation coefficients show the significance of the link between the expenditures on components of the suppliers' innovation management system, that is, expenditure on the improvement of innovative competences of suppliers, and the expenditure on ICT, and innovation performance of automotive companies. By establishing data interdependence, elements of the management system that contributed the most to improving the innovation performance of three international auto motive companies over the past years were selected. Analyses of data may facilitate the management of expenditure on: internal R&D activities and support for external innovators. In this chapter, the author used the results of her previous studies. To collect additional data, the following methods were used: review of documents and diagnostic survey (technique: survey, tool: questionnaire). To analyse the data obtained, a statistical method and computer simulation methods were used. The research was based on quantitative secondary data 1 and estimates (given by respondents from the automotive companies as a percentage of a specific value contained in official documents). The data for the analysis came from publications and surveys.

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Section: Advanced Ict Tools For Supporting Knowledge Management In Ormentioning

confidence: 99%