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Decision support systems are becoming an indispensable tool for managing complex supply chains. The purpose of this paper is to develop a multi-agent-based supply chain management system that incorporates big data analytics that can exert autonomous corrective control actions. The effects of the system on supply chain agility are explored.

For the development of the architecture of the system, a sequential approach is adopted. First three fundamental dimensions of supply chain agility are identified – responsiveness, flexibility and speed. Then the organisational design of the system is developed. The roles for each of the agents within the framework are defined and the interactions among these agents are modelled.

Applications of the model are discussed, to show how the proposed model can potentially provide enhanced levels in each of the dimensions of supply chain agility.

The study shows how the multi-agent systems can assist to overcome the trade-off between supply chain agility and complexity of global supply chains. It also opens up a new research agenda for incorporation of big data and semantic web applications for the design of supply chain information systems.

The proposed information system provides integrated capabilities for production, supply chain event and disruption risk management under a collaborative basis.

A novel aspect in the design of multi-agent systems is introduced for inter-organisational processes, which incorporates semantic web information and a big data ontology in the agent society.

The purpose of this paper is to explore the role and leadership practices of executive leaders in English multi-academy trusts (MATs) considering the meaning of system-level leadership and its perceived impact on schools' improvement processes, conditions and culture.

This paper was guided by an ecological systems approach emphasizing the interactions between the micro-, meso-, macro-, exo- and chronosystems, and was used to develop context-sensitive accounts of leadership across groups of schools. It involves interview-based multi-perspective case studies using a sample of five MATs and collecting data from 31 interviews with various school and MAT leaders.

The primacy of leadership at the executive level was central to efforts for school and MAT transformation and that was evident throughout the findings of the study. System leadership was multifaceted and was understood through the multiple layers of the organizational structure of MATs. Four major domains of practice highlight the efforts of these leaders to address complex and systemic challenges. These are setting strategic directions, developing people and organizational capacity, establishing organizational infrastructure to support schools' improvement efforts and providing instructional guidance.

Findings reveal new empirical data about the role of executive leaders in English MATs and highlight the ways in which they seek to establish, manage and sustain school and MAT-wide improvement providing the research with a holistic idea of system leadership.

The purpose of this study is to integrate evidence on contributing factors, consequences, in addition to coping mechanisms of depression and anxiety in patients with heart failure.

An integrative review was conducted by searching three main electronic databases: Web of Sciences, MEDLINE and Science Direct. Twenty-four studies met the inclusion criteria and were included in the final review process.

The review identified the most common contributing factors, consequences and coping mechanisms of depression and anxiety in patients with heart failure. Patients with heart failure have high anxiety and depression prevalence rates.

It is recommended to include routine assessment and management of anxiety and depression in heart failure protocols to improve clinical outcomes.