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Role of Situational Dependence in the Use of Self-Service Technology

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  • Cheolho Yoon

    (Department of Business Administration, Mokpo National University, 61 Dorim-ri, Chungkye-myun, Muan-gun, Jeonnam 58554, Korea)

  • Byongcheon Choi

    (Department of Medical Information, Iksan General Hospital, Jeollabuk-do 54543, Korea)

Abstract

Although numerous studies have been conducted on the use of self-service technology (SST), little is known about the importance of the situation for individuals’ acceptance of SSTs. This study proposed the situational dependency construct and analyzed the role of the construct in the use of SSTs. To conduct an empirical analysis, a research model combining the situational dependency variable with the perceived usefulness and perceived ease of use of the technology acceptance model variables, which are the most frequently used in studies related to SSTs, was developed. A total of 213 valid data were collected through questionnaires and analyzed using confirmatory factor analysis and path analysis through structural equation modeling. The results showed that situational dependence influenced attitude toward using along with perceived ease of use and perceived usefulness and that situational dependence had a strong influence on intention to use. This study provides strategic insight for practitioners to lead acceptance of SSTs.

Suggested Citation

  • Cheolho Yoon & Byongcheon Choi, 2020. "Role of Situational Dependence in the Use of Self-Service Technology," Sustainability, MDPI, vol. 12(11), pages 1-11, June.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:11:p:4653-:d:368292
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    References listed on IDEAS

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    1. Collier, Joel E. & Moore, Robert S. & Horky, Alisha & Moore, Melissa L., 2015. "Why the little things matter: Exploring situational influences on customers' self-service technology decisions," Journal of Business Research, Elsevier, vol. 68(3), pages 703-710.
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    4. Nathalie Demoulin & Souad Djelassi, 2016. "An integrated model of self-service technology (SST) usage in a retail context," Post-Print hal-01563001, HAL.
    5. Oh, Haemoon & Jeong, Miyoung & Baloglu, Seyhmus, 2013. "Tourists' adoption of self-service technologies at resort hotels," Journal of Business Research, Elsevier, vol. 66(6), pages 692-699.
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    Cited by:

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    2. Adriana Malureanu & Georgeta Panisoara & Iulia Lazar, 2021. "The Relationship between Self-Confidence, Self-Efficacy, Grit, Usefulness, and Ease of Use of eLearning Platforms in Corporate Training during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    3. Jorge Andrés-Sánchez & Jaume Gené-Albesa, 2024. "Not with the bot! The relevance of trust to explain the acceptance of chatbots by insurance customers," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    4. Jorge Andrés-Sánchez & Laura González-Vila Puchades & Mario Arias-Oliva, 2023. "Factors influencing policyholders' acceptance of life settlements: a technology acceptance model," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(4), pages 941-967, October.
    5. Nam, Jinyoung & Kim, Seongcheol, 2022. "Why do elderly people feel negative about the use of self-service technology and how do they cope with the negative emotions?," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265661, International Telecommunications Society (ITS).

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