The Mediating Role of Real-Time Information Between Location-Based User-Generated Content and Tourist Gift Purchase Intention

Abstract

The global use of Web 2.0 applications has generated enormous volumes of user content. Drawing on cognitive load theory, this study examines unexplored factors that influence gift purchase intention of tourists. The authors identify localization and realtime information for shaping tourists' gift purchase intention, which is facilitated by reduced cognitive overload. Analyzes of the study relies on a sample of 273 foreign tourists in Malaysia. A cross-sectional quantitative study is conducted using partial least square structural equation modeling. Results showed that location-based user-generated content and real-time information significantly affect gift purchase intention of tourists. Moreover, real-time information partially mediates the relationship between location-based user-generated content and gift purchase intention.

Customer-Defined Market Orientation, Brand Image and Customer Satisfaction: A Mediation Approach

“…The finding revealed that BI partially mediates the relationship between CO, COM, IFC, and CS. These findings are similar to previous studies, which asserted that CDMO maintains a positive BI (Khan, Khan et al, 2021a, 2021b), which leads to a high degree of CS (Anwar et al, 2019; Eklof et al, 2020; Khan & Ghouri, 2018; Khan, Khan et al, 2021a, 2021b), provides favorable market position and ultimately improve business performance (Rybaczewska et al, 2020). The potential clarification for these findings is that once all three dimensions of MO were effectively implemented by ethnic food businesses, it helped to create a BI in the minds of customers, which led to CS.…”

“…PLS is suitable for theory building and testing studies (Hulland, 1999;Khan, Khan et al, 2021a, 2021b. PLS-SEM enables simultaneous automated corrections for measurement errors while handling independent and dependent latent variables (Hair et al, 2014;Khan, Khan et al, 2021a, 2021b. PLS path modeling is used in this research to analyze the reliability (rho), Cronbach's alpha (a), convergent validity (AVE), and discriminant validity (HTMT) (Hair et al, 2019;.…”

“…The collected data were analyzed using measurement model tests and structural model tests by the partial least square structural equation modeling (PLS-SEM) technique using ADANCO 2.0.1 (Henseler & Dijkstra, 2015;Yousuf et al, 2022). PLS is suitable for theory building and testing studies (Hulland, 1999;Khan, Khan et al, 2021a, 2021b. PLS-SEM enables simultaneous automated corrections for measurement errors while handling independent and dependent latent variables (Hair et al, 2014;Khan, Khan et al, 2021a, 2021b.…”

“…While the findings of this study do not rule out the potential of common method variance, they do indicate that it is not a great concern and is thus unlikely to affect the interpretations of the results. Further, in order to identify non-response bias, the first and last 25 responses were compared using an independent t-test (Armstrong & Overton, 1977; Khan, Khan et al, 2021a, 2021b). The findings revealed a non-significant difference between early and late 25 responses, indicating non-response bias.…”

“…Researchers proposed that MO leads to brand orientation, which improves a brand's performance (Adam & Tabrani, 2016). Further, Khan, Khan et al (2021a, 2021b suggest that CDMO significantly influences BI.…”