New Approach for Supporting Future Collaborative Business in Automotive Industry

Salinesi, Camille; Kusumah, Indra; Rohleder, Clotilde

doi:10.1109/ice.2018.8436382

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…Algorithmic management, which can be defined as the management of labour by machine, is a key preoccupation for researchers on the gig economy (Goods et al, 2019). Attention of scholars is focused on the functioning of existing models but also on their evolution and improvement (Salinesi et al, 2018). Algorithmic management is based on the constant data collection that happens through the rating system and the collection of data on individual workers (Adams et al, 2018).…”

Section: Controversial Algorithmic Managementmentioning

confidence: 99%

The organisation and experience of work in the gig economy

Kaine¹,

Josserand

2019

Journal of Industrial Relations

157

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The gig economy has captured public and policy interest and is growing as an area of academic inquiry, prompting debate about the future of work, labour regulation, and the impact of technology and job quality. This special issue provides a timely intervention into that debate with this article providing an introductory overview, positioning the articles within a comprehensive literature review of existing scholarship on the gig economy. These articles add to our understanding of the organisation and experience of work in the digitally enabled gig economy in a variety of national settings. They explore aspects such as job quality, forms of collectivity, identity development, and algorithmic management and control. This article also delineates avenues for further research regarding conditions for gig workers, the impact of gig work and information, technology and gig work.

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Section: Controversial Algorithmic Managementmentioning

confidence: 99%

The organisation and experience of work in the gig economy

Kaine¹,

Josserand

2019

Journal of Industrial Relations

157

View full text Add to dashboard Cite

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Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges

Heyn

Habibullah

Knauss

et al. 2023

2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN)

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Guidelines for the Specification of IoT Requirements

Achtaich

Salinesi

Souissi³

et al. 2021

IoT Protocols and Applications for Improving Industry, Environment, and Society

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In the last five years, we witnessed the shift from the vision of the internet of things (IoT) to an actual reality. It is currently shifting again from specific and single applications to larger and more generic ones, which serves the needs of thousands of users across borders and platforms. To avoid losing the personification of applications, on account of genericity, new approaches and languages that use generic knowledge as a steppingstone while taking into consideration users and context's specific and evolutive needs are on the rise. This chapter aims to provide a framework to support the creation of such approaches (DSPL4IoT). It is later on used to assess notable IoT specification approaches and extract conclusion of the trends and persistent challenges and directions. An approach for the specification of natural language (NL) requirements for IoT systems is also provided to assist domain and application engineers with the formulations of such requirements.

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New Approach for Supporting Future Collaborative Business in Automotive Industry

Cited by 3 publications

References 5 publications

The organisation and experience of work in the gig economy

The organisation and experience of work in the gig economy

Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges

Guidelines for the Specification of IoT Requirements

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