The Civil Air Navigation Services Organisation, the International Federation of Air Traffic Control Associations, the International Air Transport Association and the Civil Air Navigation Services Organisation agree that professionals in the Air Navigation Services Provider Sector require successful organisational leadership to facilitate and manage transformation within the highly regulated Air Navigation Services Provider Sector. Detailed organisational leadership requirements and associated leadership training and development needs are, however, not specified by the Civil Air Navigation Services Organisation. An opportunity therefore existed to investigate leadership traits and behaviours within a specific context. This research project is contextualised within a safety-conscious, highly regulated and technology-driven industry (the South African Aviation Industry), a safety-critical sector (Air Navigation Services) and specifically the Air Traffic and Navigation Services Company. It was found that little academic research has been done to address the role of followers in the leadership process and to determine what followers expect and require from their leaders. The research problem statement, in response to this research necessity, is: “How can follower experiences and expectations of leadership behaviours in a safety-critical commercial environment be collected, analysed, understood, structured and utilised to aid leadership development?” An ethnographic research case study approach allowed the researcher to investigate the multifarious phenomena that constitute the current views (experiences and expectations) held by followers with regard to leadership behaviour qualities. A mixed methods approach was followed. Data collection was facilitated by means of individual interviews, focus group interviews, field notes and a structured questionnaire. Qualitative data were inductively analysed to identify the recurring patterns and common themes and quantitative data were deductively analysed to assess the nature of existing conditions and relevance. Data and method triangulation was implemented to determine whether multiple sources of data agreed, and to obtain better, cross-checked insights. Findings from this research study provided academic, industry, process and methodology insights into views held by followers regarding leadership and followership constructs. Definitions and perspectives held and reported by followers regarding leaders and leadership, characteristics of preferred and undesired leadership styles, relational and emotional bonds between followers and their leaders acknowledged the presence, value and influence of follower mental models. In this case followers contextualised leadership roles and responsibilities and suggested a transformational leadership style as a desired state. Findings also emphasised a need to appreciate the importance of the social exchange and social contingency theories of leadership in order to create a better understanding of leadership by emphasising the importance of context when studying leaders and leadership from a follower perspective. Obtained follower insights resulted in a structured leadership training and development needs analysis process framed within the specific context. Future research efforts in this regard may be aimed at determining the necessity to educate followers to critically appreciate and evaluate leadership performance and creating a better understanding of how followers’ mental models internally represent complex, dynamic systems and how these representations change over time. / Business Management / DBL

This program of research was aimed at investigating a novel application of computer aided text analysis (CATA). To date, CATA has been used in a wide variety of disciplines, including Psychology, but never in the area of personnel selection. Traditional personnel selection techniques have met with limited success in the prediction of costly training failures for some occupational groups such as pilot and air traffic controller. Accordingly, the overall purpose of this thesis was to assess the validity of linguistic style to select personnel. Several studies were used to examine the structure of language in a personnel selection setting; the relationship between linguistic style and the individual differences dimensions of ability, personality and vocational interests; the validity of linguistic style as a personnel selection tool and the differences in linguistic style across occupational groups. The participants for the studies contained in this thesis consisted of a group of 810 Royal Australian Air Force Pilot, Air Traffic Control and Air Defence Officer trainees. The results partially supported two of the eight hypotheses; the other six hypotheses were supported. The structure of the linguistic style measure was found to be different in this study compared with the structure found in previous research. Linguistic style was found to be unrelated to ability or vocational interests, although some overlap was found between linguistic style and the measure of personality. In terms of personnel selection validity, linguistic style was found to relate to the outcome of training for the occupations of Pilot, Air Traffic Control and Air Defence Officer. Linguistic style also demonstrated incremental validity beyond traditional ability and selection interview measures. The findings are discussed in light of the Five Factor Theory of Personality, and motivational theory and a modified spreading activation network model of semantic memory and knowledge. A general conclusion is drawn that the analysis of linguistic style is a promising new tool in the area of personnel selection.

Air traffic flow management is a critical component of air transport operations because at some point in time, often very frequently, one of more of the critical resources in the air transportation network has significantly reduced capacity, resulting in congestion and delay for airlines and other entities and individuals who use the network. Typically, these “bottlenecks” are noticed at a given airport or terminal area, but they also occur in en route airspace. The two-stage combinatorial optimization framework for air traffic flow management under constrained capacity that is presented in this thesis, represents a important step towards the full consideration of the combinatorial nature of air traffic flow management decision that is often ignored or dealt with via priority-based schemes. It also illustrates the similarities between two traffic flow management problems that heretofore were considered to be quite distinct. The runway systems at major airports are highly constrained resources. From the perspective of arrivals, unnecessary delays and emissions may occur during peak periods when one or more runways at an airport are in great demand while other runways at the same airport are operating under their capacity. The primary cause of this imbalance in runway utilization is that the traffic flow into and out of the terminal areas is asymmetric (as a result of airline scheduling practices), and arrivals are typically assigned to the runway nearest the fix through which they enter the terminal areas. From the perspective of departures, delays and emissions occur because arrivals take precedence over departures with regard to the utilization of runways (despite the absence of binding safety constraints), and because arrival trajectories often include level segments that ensure “procedural separation” from arriving traffic while planes are not allowed to climb unrestricted along the most direct path to their destination. Similar to the runway systems, the terminal radar approach control facilities (TRACON) boundary fixes are also constrained resources of the terminal airspace. Because some arrival traffic from different airports merges at an arrival fix, a queue for the terminal areas generally starts to form at the arrival fix, which are caused by delays due to heavy arriving traffic streams. The arrivals must then absorb these delays by path stretching and adjusting their speed, resulting in unplanned fuel consumption. However, these delays are often not distributed evenly. As a result, some arrival fixes experience severe delays while, similar to the runway systems, the other arrival fixes might experience no delays at all. The goal of this thesis is to develop a combined optimization approach for terminal airspace flow management that assigns a TRACON boundary fix and a runway to each flight while minimizing the required fuel burn and emissions. The approach lessens the severity of terminal capacity shortage caused by and imbalance of traffic demand by shunting flights from current positions to alternate runways. This is done by considering every possible path combination. To attempt to solve the congestion of the terminal airspace at both runways and arrival fixes, this research focuses on two sequential optimizations. The fix assignments are dealt with by considering, simultaneously, the capacity constraints of fixes and runways as well as the fuel consumption and emissions of each flight. The research also develops runway assignments with runway scheduling such that the total emissions produced in the terminal area and on the airport surface are minimized. The two-stage sequential framework is also extended to en route airspace. When en route airspace loses its capacity for any reason, e.g. severe weather condition, air traffic controllers and flight operators plan flight schedules together based on the given capacity limit, thereby maximizing en route throughput and minimizing flight operators' costs. However, the current methods have limitations due to the lacks of consideration of the combinatorial nature of air traffic flow management decision. One of the initial attempts to overcome these limitations is the Collaborative Trajectory Options Program (CTOP), which will be initiated soon by the Federal Aviation Administration (FAA). The developed two-stage combinatorial optimization framework fits this CTOP perfectly from the flight operator's perspective. The first stage is used to find an optimal slot allocation for flights under satisfying the ration by schedule (RBS) algorithm of the FAA. To solve the formulated first stage problem efficiently, two different solution methodologies, a heuristic algorithm and a modified branch and bound algorithm, are presented. Then, flights are assigned to the resulting optimized slots in the second stage so as to minimize the flight operator's costs.

Air traffic services (ATS) play an important role for flight safety. Remote air traffic services (RATS) represent a novel, more digitalized, ATS solution. In some aspects, RATS can be argued to outperform conventional ATS. However, as it entails various sociotechnical obstacles, making RATS the dominant solution for ATS is challenging. An inadequate awareness of such sociotechnical obstacles potentially impedes the competitiveness of RATS in general and the RATS providers in particular. This study intends to - from a sociotechnical perspective - identify main obstacles as faced by RATS when aspiring to become the dominant solution for ATS. In order to identify such obstacles, an abductive case study has been conducted. Empirical data was primarily gathered by semi-structured interviews with 10 key stakeholders involved, directly or indirectly, with RATS. The study is delimited to principally gather empirics from Sweden and the United Kingdom. Theoretical concepts of Large Technical Systems (LTS) and the Multilevel Perspective (MLP) are employed to understand and analyze the empirical data. The identified obstacles faced by RATS are mapped into the different levels of the MLP. Obstacles have been identified in all levels of the MLP. The most prominent obstacles seem to lay in social aspects of change processes, a proposition-perception gap, and connectivity infrastructure dependency. / Flygtrafiktjänster (ATS) spelar en viktig roll för flygsäkerhet. Fjärrstyrda flygtrafiktjänster (RATS) representerar en ny, i högre grad digitaliserad, lösning för ATS. I vissa avseenden kan RATS anses prestera bättre än konventionellt utförda flygtrafiktjänster. Vägen mot ett tillstånd där RATS är den dominerande lösningen för RATS är dock kantad av olika sociotekniska utmaningar. En otillräcklig medvetenhet om dessa utmaningar kan potentiellt minska konkurrenskraften för RATS i allmänhet och för utvecklare av RATS i synnerhet. Denna studie syftar till att, från ett sociotekniskt perspektiv, identifiera utmaningar som RATS står inför i, en situation där RATS ämnar ta steg mot att bli den dominerande lösningen för ATS. För att identifiera sådana utmaningar har en abduktiv fallstudie utförts. Empirisk data samlades huvudsakligen in genom semi-strukturerade intervjuer med 10 intressenter, direkt eller indirekt involverade, i RATS. Studien är avgränsad till att huvudsakligen samla in empirisk data från Sverige och Storbritannien. Teoretiska ramverk och begrepp beträffande Large Technical Systems (LTS) och Multilevel Perspective (MLP) används för att förstå och analysera empirisk data. De identifierade utmaningarna kopplas till de olika nivåerna i MLP. Utmaningar har identifierats i alla nivåer av MLP, och de mest framstående utmaningarna tycks ligga i sociala aspekter av förändringsprocesser, ett gap mellan proposition och perception, samt ett beroende av uppkopplingsinfrastruktur.