利用 S-O-R 框架确定游客重游廖内群岛的意愿

Keni Keni, Nicholas Wilson, Fajri Adrianto, Purnama Dharmawan, Ai Ping Teoh
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引用次数: 0

摘要

尽管廖内群岛是一个热门旅游目的地,但截至 2024 年 4 月,该岛的游客人数有所下降,仍低于印尼其他旅游目的地。因此,需要采取及时行动来增加游客数量。因此,本研究采用刺激-有机体-反应(S-O-R)框架,深入研究了影响个人重游廖内群岛倾向的复杂因素。本研究采用以调查为中心的方法,通过部署数字问卷,从符合条件的参与者中严格收集广泛的数据集。通过有目的的抽样,实施了严格的标准,确保受访者在过去两年中至少三次光顾廖内群岛。为期两个月的数据收集工作产生了一个强大的数据集,共包含 154 份回复。使用 SmartPLS 4 软件中的偏最小二乘法(PLS)进行的分析验证了目的地质量和目的地来源可信度对游客满意度和重游意愿的积极影响。此外,研究结果还表明,游客满意度在这些关系中起着积极的中介作用。这意味着,游客感知到的目的地质量和客源地可信度通过积极影响游客的总体满意度,间接促进了游客未来再次到访的可能性。这些研究结果不仅丰富了人们对影响个人重游目的地选择的决定因素的理解,而且对加强目的地管理和营销战略提出了有价值的启示,最终旨在提升游客的整体旅游体验。从本质上讲,这项研究有助于人们更好地理解重游行为的内在动力,为旅游业的战略干预开辟了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leveraging the S-O-R Framework to Determine Tourists' Willingness to Revisit Riau Island
Despite being a popular destination, Riau Island's tourist numbers have declined as of April 2024, and remain lower than those of other Indonesian destinations. Therefore, prompt actions are needed to increase the number of visitors. Therefore, using the stimulus-organism-response (S-O-R) framework, this research delves into the intricate factors that mold individuals' propensity to revisit Riau Island. Employing a survey-centric methodology, an extensive dataset was scrupulously amassed from eligible participants through the deployment of digital questionnaires. Stringent criteria were implemented via purposive sampling, ensuring respondents had frequented Riau Island at least thrice in the preceding two years. The two-month duration of data collection yielded a robust dataset, encompassing a total of 154 responses. The analysis, executed using the Partial Least Squares (PLS) method in SmartPLS 4 software, validates the affirmative impact of both destination quality and destination source credibility on tourist satisfaction and the willingness to revisit. Furthermore, the results disclose that tourist satisfaction functions as a positive mediator in these relationships. This implies that the perceived destination quality and source credibility indirectly contribute to the probability of future visits by positively influencing the overall satisfaction of tourists. These findings not only enrich people’s understanding of the determinants influencing individuals' choices to revisit a destination, but also present valuable implications for enhancing destination management and marketing strategies, ultimately aiming to elevate the overall tourist experience. In essence, this study adds to a refined comprehension of the dynamics underlying repeat visitation behaviors, opening avenues for strategic interventions in the tourism sector.
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