Applying complexity science to air traffic management

Complexity science is the multidisciplinary study of complex systems. Its marked network orientation lends itself well to transport contexts. Key features of complexity science are introduced and defined, with a specific focus on the application to air traffic management. An overview of complex network theory is presented, with examples of its corresponding metrics and multiple scales. Complexity science is starting to make important contributions to performance assessment and system design: selected, applied air traffic management case studies are explored. The important contexts of uncertainty, resilience and emergent behaviour are discussed, with future research priorities summarised.

The effects of conflict in driving forward innovation in shared leadership management consultant teams

It is argued in this study that current investigations of the role of conflict in shared leadership teams and, thus, teams in which all members have the opportunity to participate in its decision-making process are insufficient as they have focused on the downsides of these conflicts. This study demonstrates that task conflict is beneficial in that it can have positive effects on innovation in teams. It shows that particularly in shared leadership management consultant teams task conflict can stimulate innovation. Therefore, this research investigates the relationships among shared leadership, conflict and innovation. The research develops and empirically tests a conceptual model which demonstrates the relationships between these concepts and for which the inclusion of multiple research methods was essential. The sequential explanatory approach included a combination of quantitative and qualitative methods, the order of which can be adapted for other domains of application. The conceptual model was first tested with a sample of 329 management consultants. This was followed by 25, in-depth, face-to-face interviews conducted with individual survey respondents. In addition, weekly meetings of a management consultant team in action were video recorded over several months. This allowed for an in-depth explanation of the findings from the survey by providing an understanding of the underlying processes. The inclusion of observational methods provided a validating role and explained how and why conflicts contributed to the development of team innovation, through the analysis of subtleties and fleeting disagreements in a real-life management consultant team. The results deliver an assessment of the theoretical model and demonstrate that task conflict can allow for additional innovation in management consultant teams operating under a shared leadership structure. A practical model and guidelines for management consultant teams wanting to enhance their innovatory capacities are provided. In addition, a novel-user methodology which includes video observations is developed, with recommendations and steps aiding researchers aiming to employ a similar combination of methods. An original contribution to knowledge is made regarding the positive effects that task conflict can have towards innovation in shared leadership teams. Collaboration and trust are identified as important mediators between shared leadership and task conflict and significant regarding the development of innovation. The effectiveness of shared leadership in reducing negative relationship conflict and the benefits of both shared leadership and task conflict in enhancing innovation are demonstrated.

Methods, Models & Systems for Dealing with Some Business, Management & Engineering Problems

This keynote presentation will report some of our research work and experience on the development and applications of relevant methods, models, systems and simulation techniques in support of different types and various levels of decision making for business, management and engineering. In particular, the following topics will be covered. Modelling, multi-agent-based simulation and analysis of the allocation management of carbon dioxide emission permits in China (Nanfeng Liu & Shuliang Li Agent-based simulation of the dynamic evolution of enterprise carbon assets (Yin Zeng & Shuliang Li) A framework & system for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps: a big data perspective (Jin Xu, Zheng Li, Shuliang Li & Yanyan Zhang) Open innovation: intelligent model, social media & complex adaptive system simulation (Shuliang Li & Jim Zheng Li) A framework, model and software prototype for modelling and simulation for deshopping behaviour and how companies respond (Shawkat Rahman & Shuliang Li) Integrating multiple agents, simulation, knowledge bases and fuzzy logic for international marketing decision making (Shuliang Li & Jim Zheng Li) A Web-based hybrid intelligent system for combined conventional, digital, mobile, social media and mobile marketing strategy formulation (Shuliang Li & Jim Zheng Li) A hybrid intelligent model for Web & social media dynamics, and evolutionary and adaptive branding (Shuliang Li) A hybrid paradigm for modelling, simulation and analysis of brand virality in social media (Shuliang Li & Jim Zheng Li) Network configuration management: attack paradigms and architectures for computer network survivability (Tero Karvinen & Shuliang Li)