Global Production Networks

Heß, Martin

doi:10.1002/9781118786352.wbieg0675

Cited by 3 publications

(4 citation statements)

References 35 publications

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“…The actors involved consist of non-company sector actors such as the state, international organizations, labor groups, civil society organizations in various regions, and consumers (Yeung and Coe, 2014). GPN in emphasizing transnational production systems managed by corporate and noncompany actors, besides that GPN also needs workers and worker agents in forming GPN (Hess, 2018). If supplying companies can achieve GPN activities, companies can get added value from the GPN.…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, the role of workers needs to be considered explicitly in GPN research. In analyzing the theory of GPN, it is necessary to involve workers to obtain prospects for results for workers, both in terms of wages, working conditions, and the availability of rights for workers (Hess, 2018). So, it is necessary to apply the labor relations of Global Production Networks.…”

Section: Fig 1 Global Production Theorymentioning

confidence: 99%

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Implementing Ethical ‘Code of Work Ethics’: A Case Study of Apple and Foxconn Supply Chain

Maharani,

Mursitama

2023

E3S Web Conf.

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This study aims to find out Foxconn supply companies in increasing Apple production through forced labor carried out by workers who work at Foxconn without any guarantee of welfare and health and safety empowerment for their workers as well as guarantees of survival and a decent basic salary. This case study is strengthened by using the Global Production Network (GPN) theory, which relates to production networks across economic boundaries to the actors involved. Meanwhile, the role of the workforce is also involved in the GPN because as a supplier of labor it is not only involved in the interests of the company, but is also involved in the state structure and global capital structure. There is also an approach used by researchers using a qualitative research approach. The data used by the researcher is secondary data obtained from journals, official websites, report data, and several articles that have been validated. The implication of this research is to improve workers’ rights in a company under the protection of the Fair Labor Association. Companies are required to apply a Code of Work Ethics to their workers to improve the welfare of workers and build a better corporate image.

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Section: Resultsmentioning

confidence: 99%

Section: Fig 1 Global Production Theorymentioning

confidence: 99%

Implementing Ethical ‘Code of Work Ethics’: A Case Study of Apple and Foxconn Supply Chain

Maharani,

Mursitama

2023

E3S Web Conf.

View full text Add to dashboard Cite

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“…On the most general level, a global production network can be conceptualised as ‘the nexus of interconnected functions and operations through which goods and services are produced, distributed, and consumed’ (Hess, 2018: 2). The concept has been frequently iterated by economic geographers (Coe and Yeung, 2019; Grabher and van Tuijl, 2020; McGrath, 2018; Werner, 2019).…”

Section: From Global Production Network To Neural Production Network?mentioning

confidence: 99%

Neural production networks: AI’s infrastructural geographies

Ferrari

2023

Environment and Planning F

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It is commonly argued that a handful of technology firms own the infrastructure that underpins the proliferation of artificial neural networks. But little is known about how this concentration of computational resources manifests itself in new geographies of production. To address this disparity, this article introduces the theoretical framework of neural production networks: geographically dispersed but computationally enveloped production arrangements powered by artificial neural networks. The article substantiates this framework by probing the role of Amazon, Google and Microsoft as lead firms in neural production networks. By reconsidering three key categories of production network scholarship – value, embeddedness and power – in light of those lead firms, the article opens a space for economic–geographical research on artificial neural networks.

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“…A common denominator of this work is a relational understanding of state governance, which holds that the repertoire of state actors is enabled and constrained by both (a) issues of political contestation and (b) the economic conditions of global production networks in which they are operating (Werner, 2020). A global production network denotes the ‘the nexus of interconnected functions and operations through which goods and services are produced, distributed, and consumed’ (Hess, 2018: 2). Although some of the state-oriented scholarship in economic geography uses alternative terminology (e.g.…”

Section: State Roles In Global Production Networkmentioning

confidence: 99%

State roles in platform governance: AI’s regulatory geographies

Ferrari

2023

Competition & Change

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Platform governance scholarship commonly derives the role of the state from its actions as a regulator of platforms: a rule-setter that sets limits and restricts their activities. This article argues that three additional state roles enable and constrain the agency of states to regulate platforms: facilitator, buyer, and producer. Using the EU’s Artificial Intelligence Act as a case study, the article asks: How do different state roles in platform governance shape AI’s regulatory geographies? It answers this research question by outlining two policy dilemmas between those four state roles. First, the EU’s ambition to act as a facilitator of digital markets constrains its scope of interventions as a regulator of platforms. Second, the EU’s deficits in acting as a producer of AI infrastructure exacerbate its dependency as a buyer of Big Tech offerings, especially cloud computing services. The article contends that dilemmas between state roles are not anomalies but defining features of state-platform relations. As generative AI systems gain sophistication, an understanding of how state roles relate to each other helps to navigate their complex governance regimes.

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Global Production Networks

Cited by 3 publications

References 35 publications

Implementing Ethical ‘Code of Work Ethics’: A Case Study of Apple and Foxconn Supply Chain

Implementing Ethical ‘Code of Work Ethics’: A Case Study of Apple and Foxconn Supply Chain

Neural production networks: AI’s infrastructural geographies

State roles in platform governance: AI’s regulatory geographies

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