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Artificial intelligence and industrial innovation : evidence from firm-level data

Rammer, Christian; Fernández, Gastón P.; Czarnitzki, Dirk - 2021 - This version: March 2021

Artificial Intelligence (AI) represents a set of techniques that enable new ways of innovation and allows firms to … new business models. This paper analyses the extent to which the use of AI contributes to the innovation performance of … firms. Based on firm-level data from the German part of the Community Innovation Survey (CIS) 2018, we examine the …

Persistent link: https://www.econbiz.de/10012500899

Artificial intelligence platforms : a new research agenda for digital platform economy

Mucha, Tomasz; Seppäläinen, Timo O. - 2020

Three out of nine of S&P500 digital platform companies stand out as building own artificial intelligence (AI) platforms. There is overwhelming empirical evidence of AI technologies are being central to running a digital platform business. However, the current research agenda is not directing...

Persistent link: https://www.econbiz.de/10012164251

A short review on the economics of artificial intelligence

Lu, YingYing; Zhou, Yixiao - 2019

Persistent link: https://www.econbiz.de/10012224392

The technological contest between China and the United States

Toro-Hardy, Alfredo - 2020

China's proclaimed aim of becoming the world's leader in science, technology and innovation by the mid twenty first …

Persistent link: https://www.econbiz.de/10012203007

Automation and related technologies : a mapping of the new knowledge base

Santarelli, Enrico; Staccioli, Jacopo; Vivarelli, Marco - 2022

Using the entire population of USPTO patent applications published between 2002 and 2019, and leveraging on both patent classification and semantic analysis, this paper aims to map the current knowledge base centred on robotics and AI technologies. These technologies are investigated both as a...

Persistent link: https://www.econbiz.de/10012798615

Automation and related technologies : a mapping of the new knowledge base

Santarelli, Enrico; Staccioli, Jacopo; Vivarelli, Marco - 2022

Persistent link: https://www.econbiz.de/10013188429

Product modularization in integrated supply chains : a product life-cycle phase specific concept for effect allocation

Brylowski, Martin; Ludwig, Maximilian; Kersten, Wolfgang; … - In: Data science and innovation in supply chain management …, (pp. 25-76). 2020

Purpose: Product modularization and supply chain integration have establishedthemselves as efficient methods for complexity management, but a holistic view oftheir effects has rarely been studied. For this reason, we demonstrate a conceptwhich presents these effects along the product life-cycle...

Persistent link: https://www.econbiz.de/10012387162

Enhancing B2B supply chain traceability using smart contracts and IoT

Ahmed, Mohamed; Taconet, Chantal; Ould, Mohamed; … - In: Data science and innovation in supply chain management …, (pp. 559-589). 2020

Purpose: The management of B2B supply chains that involve many stakeholders re-quires traceability processes. Those processes need to be secured. Furthermore, quality traceability data has to be transparently shared among the stakeholders. In order to improve the traceability process, we propose...

Persistent link: https://www.econbiz.de/10012387382

Blockchain technology in Germany : an excerpt of real use cases in logistics industry

Bartsch, Devis; Winkler, Herwig - In: Data science and innovation in supply chain management …, (pp. 699-735). 2020

Purpose: Due to the large number of intermediaries in logistics networks there is avariety of possible failures, frictions and waste of time and money among the logisticsprocess chain. With the ability to provide data securely in near real-time, liketrack and tracing data of goods to every...

Persistent link: https://www.econbiz.de/10012387383

Success factors for online food retail logistics

Beckmann, Anne; Kleineidam, Julia; Straube, Frank - In: Data science and innovation in supply chain management …, (pp. 852-873). 2020

Purpose: While e-commerce in general has been growing rapidly for years, food e-commerce is lagging behind in Germany. The common approach of using traditional logistics systems and fulfilment concepts does not lead to long-term success. Con-sidering this problem, success factors are needed as a...

Persistent link: https://www.econbiz.de/10012387384