This research aims to find relevant evidence on whether there is a link between air capacity management (ACM) optimization and airline operations, also considering the airline business model perspective. The selected research strategy includes a case study based on Paris Charles de Gaulle Airport to measure the impact of ACM optimization variables on airline operations. For the analysis we use historical data which allows us to evaluate to what extent the new schedule obtained from the optimized scenario disrupts airline planned operations. The results of this study indicate that ACM optimization has a substantial impact on airline operations. Moreover, the airlines were categorized according to their business model, so that the results of this study revealed which category was the most affected. In detail, this study revealed that, on the one hand, Full-Service Cost Carriers (FSCCs) were the most impacted and the presented ACM optimization variables had a severe impact on slot allocation (approximately 50% of slots lost), fuel burn accounted as extra flight time in the airspace (approximately 12 min per aircraft) and disrupted operations (approximately between 31% and 39% of the preferred assigned runways were changed). On the other hand, the comparison shows that the implementation of an optimization model for managing the airport capacity, leads to a more balanced usage of runways and saves between 7% and 8% of taxi time (which decreases fuel emission).
MULTIFILE
Between 2009 and 2013 a project has been executed in the Utrecht region to strengthen the workplace innovation capacity of SMEs (My Company 2.0). The participating companies were asked to fill in a questionnaire on the workplace innovation capacity of the company at two moments: at the beginning (T0) and at the end of the project (T1). The workplace innovation capacity was measured with questions about the organization (responds on changing demands in the environment), labor (employee flexibility), strategy (innovation with other companies) and market (improvement or renewal of products/services). We divided the companies (n=103) into two groups, namely companies that implemented an intervention an companies that did not. We found that the companies that received an intervention during the project had a significantly higher score with regard to the workplace innovation capacity at T1 compared to T0. The companies in which no intervention took place had a small (not significant) decrease in workplace innovation capacity between the baseline- (T0) and the post- test (T1). We also compared the data with data from a national reference population. It appeared that the companies in our study scored higher in workplace innovation capacity at both measurements (T0 and T1) than the reference population
In this article, we use Kooiman’s theory of governance in combination with key-conditions of community self-steering identified in recent studies to examine how the self-steering capacity developed of a community initiative aiming at improving the liveability of a small Dutch village. Using non-participatory observations and qualitative analysis, we obtained in-depth insights into how this initiative, ‘Project Ulrum 2034’ managed to build local autonomy from 2010 to 2018. We found that government support was crucial for many of its successes. Also, tensions came to light between 1. local autonomy, and its dependence on professional support, and; 2. broader community engagement, and accountability related to the public funding obtained leading to the formalisation of its organisation and the centralisation of tasks. We discovered that self-steering capacities fluctuate in time, are dynamic and develop in a non-linear way. The voluntary engagement was above all temporary, except for some activities when of direct interest to those involved. The continuity of community self-governance was fragile, due to its dependency on external funding and voluntary engagement.
