The information technology revolution has had dramatic effects on jobs and the labor market. Many routine and manual tasks have been automated, replacing workers. By contrast, new technologies complement non-routine, cognitive, and social tasks, making work in such tasks more productive. These...

Advanced machine learning has achieved extraordinary success in recent years. “Active” operational risk beyond ex post analysis of measured-data machine learning could provide help beyond the regime of traditional statistical analysis when it comes to the “known unknown” or even the...

An arms race for an artificial general intelligence (AGI) would be detrimental for and even pose an existential threat to humanity if it results in an unfriendly AGI. In this paper an all-pay contest model is developed to derive implications for public policy to avoid such an outcome. It is...

In this paper the authors propose that G20 countries endorse and facilitate the creation of a T20 digital platform for "Accelerating the Jobs of the Future". In a world driven by a new wave of technological change, the platform would revalue the role of think tanks, research institutions and...

In this paper the authors propose that G20 countries endorse and facilitate the creation of a T20 digital platform for "Accelerating the Jobs of the Future". In a world driven by a new wave of technological change, the platform would revalue the role of think tanks, research institutions and...

Technological breakthroughs and the interplay of a number of fields, including advanced robotics, artificial intelligence, nanotechnology, neurotechnology, data analytics, blockchain, cloud technology, biotechnology, Internet of Things, and 3D printing, have ushered in the Fourth Industrial...

We analyse the benefits and limitations of the integration of sourcing decisions into the operational route compilation task of a road-haulage company. A trucking company has to supply several customer sides. The demanded quantities are given. The trucking company has to decide which truck...

This study, using original survey data of 10,000 individuals, analyzes the possible impacts of artificial intelligence (AI) and robotics on employment. The first interest of this study is to ascertain, from the viewpoint of workers, what types of worker characteristics are associated with the...

The information technology revolution has had dramatic effects on jobs and the labor market. Many routine and manual tasks have been automated, replacing workers. By contrast, new technologies complement non-routine, cognitive, and social tasks, making work in such tasks more productive. These...

Content marketing is today’s one of the most remarkable approaches in the context of marketing processes of companies. Value of this kind of marketing has improved in time, thanks to the latest developments regarding to computer and communication technologies. Nowadays, especially social media...

Futures markets have seen a phenomenal success since their inception both in developed and developing countries during the last four decades. This success is attributable to the tremendous leverage the futures provide to market participants. This study contributes to the literature by analyzing...

The increasing importance of achieving sustainable development is largely positively influenced the emergence and increasing the level of application of artificial intelligence in different spheres of human activity, but especially in the field of health care. It is this trend and initiated that...

At a time when economics is giving intense scrutiny to the likely impact of artificial intelligence (AI) on the global economy, this paper suggests the two disciplines face a common problem when it comes to uncertainty. It is argued that, despite the enormous achievements of AI systems, it would...

Insolvenzprognosen und Ratings sind wichtige Aufgaben der Finanzbranche und dienen der Kreditwürdigkeitsprüfung von Unternehmen. Eine Möglichkeit dieses Aufgabenfeld anzugehen, ist maschinelles Lernen. Dabei werden Vorhersagemodelle aufgrund von Beispieldaten aufgestellt. Methoden aus diesem...

This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: univariate, linear, discriminate and logit regression; recursive partitioning, rough sets, artificial neural networks, and DEA. Our goals are: clarify the complexity-effectiveness balance of each...

At a time when economics is giving intense scrutiny to the likely impact of artificial intelligence (AI) on the global economy, this paper suggests the two disciplines face a common problem when it comes to uncertainty. It is argued that, despite the enormous achievements of AI systems, it would...