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Achieving High Booking Rates on Airbnb Platform : Influencing Factors and Their Configurational Patterns

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    한국경영정보학회 정기 학술대회 바로가기
  • 통권
    2019년 경영정보관련 추계학술대회 (2019.11)바로가기
  • 페이지
    pp.98-103
  • 저자
    Eujean Byun, Juyeon Ham, Jae-Nam Lee, Sujin Jung
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A366261

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원문정보

초록

영어
In the last few years, sharing economy platforms have become popular, and they have changed consuming activities and the ecosystem of businesses. One of the most popular platforms is Airbnb which provides accommodation sharing services. Airbnb continues to gain popularity at an astonishing rate at the global level, with the total number of users. But even on the same Airbnb platform, performance (i.e., booking rate) differs depending on the host. Nevertheless, there is a lack of research on what factors influence these different outcomes and in which cases higher outcomes are achieved. Therefore, the purpose of this study is to (1) identify the factors influencing high booking rates and (2) explore which configurations of these factors produce high booking rates. In this study, the factors affecting the high booking rate are divided into three areas: reputation, service quality, and price sensitivity. Data collected from 500 New York city accommodations were used for the analysis. In this study, the fuzzy-set qualitative comparative analysis (fsQCA) approach was applied to find the configurational patterns of influential factors that lead to high performance (i.e., booking rates). As a result, a total of four patterns were derived. This study has a theoretical contribution to derive the factors influencing the high booking rate in the sharing economy platform. There is also a practical contribution to suggesting Airbnb hosts strategic implications about what factors should be considered important to achieve higher booking rates.

목차

Abstract
Introduction
Literature Review
Reputation
Service Quality
Price Sensitivity
Conceptual Model
Research Methodology and Data Analysis
fsQCA
Data Collection
Data Calibration
Analysis Results
Discussion
Conclusion
Reference

키워드

Airbnb Booking rates Reputation Service Quality Price sensitivity fsQCA

저자

  • Eujean Byun [ Korea University, Business School ]
  • Juyeon Ham [ Kyung Hee University, Smart Tourism Research Center ]
  • Jae-Nam Lee [ Korea University, Business School ]
  • Sujin Jung [ Korea University, Business School ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    한국경영정보학회 정기 학술대회 [KMIS Conference]
  • 간기
    반년간
  • 수록기간
    1990~2025
  • 십진분류
    KDC 325 DDC 658

이 권호 내 다른 논문 / 한국경영정보학회 정기 학술대회 2019년 경영정보관련 추계학술대회

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