Fitness Centers Ambience-Customer Behavioral Intentions Relationship: The Mediating Role of Customer Emotional States

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
N. Nusairat, Qais Hammouri, Hamad Al-Ghadir, Ala'eddin M. Ahmad, M. Abuhashesh
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引用次数: 4

Abstract

This research paper aims to investigate how the ambient conditions in fitness centers affect customer behavioral intentions through examining the mediating role of customer emotional states while in the fitness center.  To this end, a conceptual model of relevant research variables was developed based on the extant literature. A questionnaire survey was administered to a convenient sample of 420 fitness center members approached in 10 randomly selected fitness centers in Jordan. The model was validated and tested using structural equation modeling with AMOS 21.0. The findings of analysis demonstrated that fitness center ambience was significant in predicting customers’ pleasure, thereby, their behavioral intentions towards the fitness center. Mediation analysis verified the mediating role of customer pleasure but not arousal on the relationship between fitness center ambient conditions and customer behavioral intentions.  Research findings show the significance of ambient conditions as an influential marketing tool. Also, such findings are deemed insightful to the operators of fitness centers on how the fitness center ambience can be deployed to enrich customer affective experience and to encourage positive behavioral intentions in turn. Discussion, conclusions, and research agenda for future research were also identified.
健身中心氛围-顾客行为意向关系:顾客情绪状态的中介作用
本研究旨在通过考察顾客在健身中心时情绪状态的中介作用,探讨健身中心环境条件对顾客行为意向的影响。为此,在现有文献的基础上,建立了相关研究变量的概念模型。在约旦随机选择10个健身中心,对420名健身中心成员进行问卷调查。利用结构方程建模软件AMOS 21.0对模型进行验证和检验。分析结果表明,健身中心氛围对顾客的愉悦感有显著的预测作用,从而预测顾客对健身中心的行为意向。中介分析验证了顾客愉悦而非唤醒对健身中心环境条件与顾客行为意向关系的中介作用。研究结果表明,环境条件作为一种有影响力的营销工具具有重要意义。此外,这些研究结果对于健身中心的经营者如何利用健身中心的氛围来丰富顾客的情感体验,从而鼓励积极的行为意愿,具有深刻的见解。还确定了讨论、结论和未来研究的研究议程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Biometrics
International Journal of Biometrics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
1.50
自引率
0.00%
发文量
46
期刊介绍: Biometrics and human biometric characteristics form the basis of research in biological measuring techniques for the purpose of people identification and recognition. IJBM addresses the fundamental areas in computer science that deal with biological measurements. It covers both the theoretical and practical aspects of human identification and verification.
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