Mobile social tourism shopping: A dual-stage analysis of a multi mediation model

被引:236
作者
Hew, Jun-Jie [1 ]
Leong, Lai-Ying [1 ]
Tan, Garry Wei-Han [1 ]
Lee, Voon-Hsien [1 ]
Ooi, Keng-Boon [2 ]
机构
[1] Univ Tunku Abdul Rahman, Fac Business & Finance, Kampar, Malaysia
[2] UCSI Univ, Fac Business & Informat Sci, Kuala Lumpur, Malaysia
关键词
Mobile social tourism shopping; Tourism products and services; Stimulus-Organism-Response framework; Partial Least Squares Structural Equation; Modelling; Artificial Neural Network analysis; Multiple mediation analysis; TECHNOLOGY ACCEPTANCE MODEL; ARTIFICIAL NEURAL-NETWORK; USER ACCEPTANCE; BEHAVIORAL INTENTION; PLS-SEM; INTERNATIONAL TOURISTS; CONTINUANCE INTENTION; PERCEIVED USEFULNESS; PURCHASE INTENTION; DESTINATION IMAGE;
D O I
10.1016/j.tourman.2017.10.005
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study investigates mobile social tourism (MST) shopping, which refers to the use of MST platforms in shopping for tourism products and services, among Malaysian domestic tourists who have visited George Town, which is a UNESCO World Cultural Heritage Site located in Penang. Drawing upon the Stimulus Organism -Response (SOR) framework, a multi-mediation model is proposed to address this relatively new research avenue. Through the use of Partial Least Squares Structural Equation Modelling and Artificial Neural Network analyses, it was discovered that the environmental stimuli (i.e., perceived mobility, social presence, and system and service quality) directly and indirectly influence tourists' MST shopping intention through their inner organism changes (i.e., perceived usefulness and perceived enjoyment). The results support the application of the SOR framework in MST shopping, as most of the developed hypotheses are supported. Practical and theoretical implications are subsequently discussed in light of the results. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:121 / 139
页数:19
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