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The Scottish Government hope to pilot judge only rape trials to increase the woefully low rape conviction rates in Scotland. The reasoning is that by removing jurors, the court will be attenuating the role that rape myths and other cognitive and social biases have on conviction rates. However, a plethora of research from cognitive and social psychology, legal literature and decision-making science has shown that experts, including judges and other legal professionals, may be no less biased than laypeople. This paper aims to outline the research highlighting that experts may also be biased, why biases in judges can be elicited, and potential alternative recommendations (i.e. deselecting jurors who score highly on rape myths and providing training/education for jurors). Furthermore, piloting with real judges, in real trials, may not be best practice. Therefore, the authors recommend that any piloting is preceded by experimental research.

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Furthermore, piloting with real judges, in real trials, may not be best practice; therefore, the authors recommend that any piloting is preceded by experimental research.

To the best of the authors’ knowledge, this research is the first of its kind to directly compared the decision-making of jurors and judges within the current Scottish legal context.

The paper aims to address a gap in foresight study and practice relating to the lack of unifying theoretical systems frameworks capable of examining empirical data from across a wide range of different ecological, social, political and economic systems. It attempts to develop a new “collective forward intelligence” that can not only make sense of these disparate trends and processes as symptoms of a wider planetary system but also, on this basis, construct accurate and plausible future scenarios to underpin national and international decision-making.

This study conducts a transdisciplinary integration of C. S. Holling’s adaptive cycle with phase-transition phenomena across biology, physics and chemistry, applied on societal and civilisational scales. A systems methodology is then applied to integrate historical and empirical data across the energy, food, transport, materials and information sectors of civilisation’s production system.

The paper develops planetary phase shift theory as a new collective forward intelligence framework for foresight study and practice, formalising the notion that humanity has arrived at an unprecedented historic and geological turning point. It finds that multiple global crises across both earth and human systems are symptoms of the last stages of the life-cycle of global industrialisation civilisation, which is the potential precursor either for collapse, or for a new civilisational life-cycle that may represent a new stage in the biological and cultural evolution of the human species.

The research sets out a new empirically grounded theoretical framework for complex scenario analysis. This can develop more robust approaches to foresight study and practice, scenario development and forecasting. It suggests the need for a new research programme to understand the dynamics of the planetary phase shift and its diverse implications for societies, industry, technology and politics. The research is limited in that the current paper does not explore how it can be applied in this way. It identifies broad scenarios for a post-industrial civilisational life-cycle but does not identify the variety of complex subsets of these.

The paper provides powerful practical implications to develop new methodology based on planetary phase shift theory for strategic planning, risk assessment and management, as well as public policy and decision-making.

The paper suggests the urgency and necessity of bold and radical societal transformation and implies key areas for civil society to focus on in innovating new values, worldviews and operating systems with a focus on the next life-cycle.

To the best of the author’s knowledge, this paper provides the first integrated transdisciplinary theoretical and empirical framework to understand how the interplay of earth system crises, societal change and technology disruptions is driving large-scale civilisational transformation with complex local ramifications.

This study aims to analyze the knowledge transfer process for implementing a company-specific production system (XPS) from a subsidiary of a multinational corporation (MNC) to its local suppliers.

A case study approach was adopted and applied in an automotive supply chain. Empirical data were collected from interviews, observations and internal documents.

The literature shows that the successful XPS implementation depends on the ability to transfer XPS knowledge; the motivation of the source unit to share XPS knowledge; the value and nature of knowledge embedded in XPS; the effectiveness of individual, social and organizational transfer mechanisms; the motivation and absorptive capacity of the target unit and, the organizational, social and relational contexts in which XPS is transferred. Based on the research findings, we develop 12 propositions and presented them in a framework.

This paper expands and enriches the literature on the knowledge transfer process of XPS. The proposed framework establishes theoretical propositions and associations raised by qualitative analysis. However, these propositions are potentially testable on a larger scale for broader generalization.

Managers can recognize critical factors and relationships needed to improve the XPS implementation from an MNC subsidiary to its local suppliers.

The proposed framework provides a scheme to capture the essential critical factors affecting a successful XPS implementation between MNC subsidiaries and local suppliers. Moreover, we found relevant associations between pairs of critical factors that were not identified in the literature.