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Pilots’ desire to become future space tourism pilots: Polynomial regression using response surface analysis

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  • Goehlich, Robert A.
  • Bebenroth, Ralf

Abstract

In this study, we investigated the impact of pilots’ motivation on their desire to be space tourism pilots or to remain in their current occupation (adherence). We analyzed the feedback obtained from a survey questionnaire on a sample consisting of 106 pilots with flying experience. In particular, we compared the pilots’ intrinsic and extrinsic motivations to investigate two outcomes: the desire to become future space pilots or to remain as air pilots. Applying the self-determination theory, we found that intrinsic motivation mattered more than extrinsic motivation. Furthermore, by applying response surface analysis as our statistical tool, it was revealed that motivation for the desire to be space pilots differed from that for adherence. To be more precise, motivation (intrinsic and extrinsic) correlated positively with desire to become space pilots, with higher motivation being associated with a steeper increase. In contrast, motivation correlated negatively with adherence (maintaining status quo). Moreover, pilots who experienced mid-level motivation preferred to stay at their “old” profession while highly motivated pilots were less hesitant to become space pilots. Further, we discovered that for desire a linear effect of motivation was predominant, while for adherence a quadratic effect of motivation was more pronounced. The policy and managerial implications of the results are discussed.

Suggested Citation

  • Goehlich, Robert A. & Bebenroth, Ralf, 2025. "Pilots’ desire to become future space tourism pilots: Polynomial regression using response surface analysis," Transport Policy, Elsevier, vol. 162(C), pages 509-520.
  • Handle: RePEc:eee:trapol:v:162:y:2025:i:c:p:509-520
    DOI: 10.1016/j.tranpol.2024.10.032
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    More about this item

    Keywords

    Adherence; Airline pilot; Desire; Extrinsic motivation; Intrinsic motivation; Response surface analysis; Spaceline; Space tourism pilot;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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