Abstract : A study is reported of the variations in organizational commitment and job satisfaction, as related to subsequent turnover in a sample of recently-employed psychiatric technician trainees. A longitudinal study was made across a 10 1/2 month period, with attitude measures collected at four points in time. For this sample, job satisfaction measures appeared better able to differentiate future stayers from leavers in the earliest phase of the study. With the passage of time, organizational commitment measures proved to be a better predictor of turnover, and job satisfaction failed to predict turnover. The findings are discussed in the light of other related studies, and possible explanations are examined. (Modified author abstract)

/pdf/organizational-commitment-job-satisfaction-and-turnover-1m9aenmhzm.pdf

Organizational Commitment, Job Satisfaction and Turnover Among Psychiatric Technicians. Technical Report No. 16.

The aircraft maintenance sector has high complexity with many intermediaries, multiple actors sharing data and needs to ensure high data security. The implementation of Blockchain technology can significantly contribute to the aforementioned characteristics. This research explores the implementation of Blockchain technology in Maintenance, Repair and Overhaul (MRO). For this research, a mixed-method approach was followed to obtain a holistic view of the adoption of Blockchain technology in an aircraft maintenance facility. Semi-structured interviews and a case study were used. The interview findings related to the current status of maintenance records management. The findings also highlighted the value of data storage within MRO’s and the benefits of Blockchain. The paper also discusses the readiness/willingness of aircraft maintenance facilities to implement Blockchain and the barriers to implementation. Recommendations and areas for further research are identified.

/pdf/an-exploratory-research-on-blockchain-in-aviation-the-case-vz8r7329.pdf

An Exploratory Research on Blockchain in Aviation: The Case of Maintenance, Repair and Overhaul (MRO) Organizations

Factors influencing low female representation in pilot training recruitment

Pilot training and recruitment is of fundamental importance for the aviation industry. Yet, a number of Commercial Pilot’s License (CPL) applicants trained by Approved Training Organizations (ATOs) fail their airline assessments. To provide some clarity on why this is happening, we conducted in-depth interviews with twelve industry professionals and a detailed documentary analysis was undertaken. We found that the main reasons are: (1) Lack of preparation or technical knowledge; (2) Poor communication skills; and (3) Poor display of teamwork and leadership. The paper suggests that regulation should be implemented for ATO’s to use screening processes on potential students to increase quality or Airline Pilot Standard Multi Crew-Cooperation (APS MCC) system, as an additional training system on top of what is being taught in ATOs. Regulations should further be linked with regular audits in place for smaller airlines to increase the effectiveness of their pilot assessments and recruitment processes in order to increase safety. Areas of further research as also identified.

/pdf/an-exploratory-study-of-pilot-training-and-recruitment-in-2cb92wyorj.pdf

An Exploratory Study of Pilot Training and Recruitment in Europe

In the air traffic management (ATM) environment, air traffic controllers (ATCos) and flight crews, (FCs) communicate via voice to exchange different types of data such as commands, readbacks (confirmation of reception of the command) and information related to the air traffic environment. Speech recognition can be used in these voice exchanges to support ATCos in their work; each time a flight identification or callsign is mentioned by the controller or the pilot, the flight is recognised through automatic speech recognition (ASR) and the callsign is highlighted on the ATCo screen to increase their situational awareness and safety. This paper presents the work that is being performed within SESAR2020-founded solution PJ.10-W2-96 ASR in callsign recognition via voice by Enaire, Indra, and Crida using ASR models developed jointly by EML Speech Technology GmbH (EML) and Crida. The paper describes the ATCo speech environment and presents the main requirements impacting the design, the implementation performed, and the outcomes obtained using real operation communications and real-time simulations. The findings indicate a way forward incorporating partial recognition of callsigns and enriching the phonetization of company names to improve the recognition rates, currently set at 84–87% for controllers and 49–67% for flight crew.

/pdf/automatic-flight-callsign-identification-on-a-controller-rjq2rf3v.pdf

Automatic Flight Callsign Identification on a Controller Working Position: Real-Time Simulation and Analysis of Operational Recordings

The factors influencing entry level airline pilot retention: An empirical study of Ryanair

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The factors influencing entry level airline pilot retention: An empirical study of Ryanair