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Developing a Stigma Scale for the Workplace: Focus on an Airline Cabin Crew

Author

Listed:
  • Haeok Liz Kim

    (Computational Social Science Center, Hanyang University, Seoul 04763, Korea)

  • Sunghyup Sean Hyun

    (School of Tourism, Hanyang University, Seoul 04763, Korea)

Abstract

The purpose of this study is to develop metrics for stigma-producing factors by conducting a survey among stigma inflictors, that is, people who participate in the stigmatization of others. This study attempted to develop a stigma measurement scale for service industry workers. This study focused airline cabin crew members in accordance with a seven-step scale development procedure to derive stigma measurement variables. As a result, the stigma scale developed in this study consists of 6 factors (work ability, conscientiousness, selfishness, work ethics, appearance, neuroticism) containing 28 measurement items. This study indicates the need to find countermeasures that can reduce stigmatization of employees within organizations. At a personal level, the practical implication is to prevent stigmatization from occurring within the organization by improving the perception of stigma by cabin crew within the airline organization. At the organizational level, the practical implication is to analyze and reduce the factors of social stigma that negatively affect organizational performance.

Suggested Citation

  • Haeok Liz Kim & Sunghyup Sean Hyun, 2021. "Developing a Stigma Scale for the Workplace: Focus on an Airline Cabin Crew," IJERPH, MDPI, vol. 18(8), pages 1-20, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:4003-:d:533946
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    References listed on IDEAS

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    1. Söderlund, Magnus & Julander, Claes-Robert, 2009. "Physical attractiveness of the service worker in the moment of truth and its effects on customer satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 16(3), pages 216-226.
    2. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    3. Patzer, Gordon L., 1983. "Source credibility as a function of communicator physical attractiveness," Journal of Business Research, Elsevier, vol. 11(2), pages 229-241, June.
    4. Kahle, Lynn R & Homer, Pamela M, 1985. "Physical Attractiveness of the Celebrity Endorser: A Social Adaptation Perspective," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(4), pages 954-961, March.
    5. Fang, Shujie & Zhang, Chun & Li, Yaoqi, 2020. "Physical attractiveness of service employees and customer engagement in tourism industry," Annals of Tourism Research, Elsevier, vol. 80(C).
    6. Yang, Lawrence Hsin & Kleinman, Arthur & Link, Bruce G. & Phelan, Jo C. & Lee, Sing & Good, Byron, 2007. "Culture and stigma: Adding moral experience to stigma theory," Social Science & Medicine, Elsevier, vol. 64(7), pages 1524-1535, April.
    Full references (including those not matched with items on IDEAS)

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