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The purpose of this paper is to investigate the relevance and the appropriateness of Turing-style tests for computational creativity.

The Turing test is both a milestone and a stumbling block in artificial intelligence (AI). For more than half a century, the “grand goal of passing the test” has taught the authors many lessons. Here, the authors analyze the relevance of these lessons for computational creativity.

Like the burgeoning AI, computational creativity concerns itself with fundamental questions such as “Can machines be creative?” It is indeed possible to frame such questions as empirical, Turing-style tests. However, such tests entail a number of intricate and possibly unsolvable problems, which might easily lead the authors into old and new blind alleys. The authors propose an outline of an alternative testing procedure that is fundamentally different from Turing-style tests. This new procedure focuses on the unfolding of creativity over time, and – unlike Turing-style tests – it is amenable to a more meaningful statistical testing.

This paper argues against Turing-style tests for computational creativity.

This paper opens a new avenue for viable and more meaningful testing procedures.

The novel contributions are: an analysis of seven lessons from the Turing test for computational creativity; an argumentation against Turing-style tests; and a proposal of a new testing procedure.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

Nobody concerned with political economy can neglect the history of economic doctrines. Structural changes in the economy and society influence economic thinking and, conversely, innovative thought structures and attitudes have almost always forced economic institutions and modes of behaviour to adjust. We learn from the history of economic doctrines how a particular theory emerged and whether, and in which environment, it could take root. We can see how a school evolves out of a common methodological perception and similar techniques of analysis, and how it has to establish itself. The interaction between unresolved problems on the one hand, and the search for better solutions or explanations on the other, leads to a change in paradigma and to the formation of new lines of reasoning. As long as the real world is subject to progress and change scientific search for explanation must out of necessity continue.

The purpose of this paper is to analyze supply chain practices, and supply chain food quality performance indicator in the Australian beef processing industry.

A conceptual model was developed to test how supply chain practices: strategic alliance, customer focus, information sharing, information quality, Lean system and antecedent cooperative behavior: trust and commitment impact on food quality. A survey questionnaire to 600 Australian beef processors was conducted to collect the empirical data for testing of the formulated hypotheses. The stepwise multiple regression analysis was performed to test the hypothesized relationships.

Strategic alliance, information quality and trust and commitment are significantly related to food quality. In particular, the standardized coefficient shows that information quality has a significant positive relationship with food quality.

As Lean principles have been widely adopted in the red meat industry, strategic alliance becomes even critical for maintaining cost and operation effectiveness in the beef supply chain. A various approaches in terms of innovative technologies can improve information quality and promote information sharing in the beef supply chain. To build trust and commitment among supply chain partners requires perception of mutual long-term goals.

Australian Meat Manufacturers face greater regulatory challenges and restraints (product labeling, food safety and carbon tax) over the next five years. Therefore, to tackle the challenges, the findings of this research have significant practical implications.

This study intends to fill the research gap and explore how advanced supply chain systems have a potential to provide contributions to Australian beef processing industry performance. Vertical integration between livestock producers, meat processors, wholesalers and retailers provides the opportunities for greater economies of scale in production and distribution.