Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention

Abstract

This study investigates how technology acceptance model (TAM) factors and social factors determine customer purchase intention. Although previous studies on mobile apps have investigated TAM, critical social factors have been neglected, thus, reinforcing the need to study the latter's contribution to consumer purchase intention. Accordingly, this study examines social influence and peer influence in the TAM and collects 777 questionnaires from Digikala app users. Data were then analysed using structural equation modelling by AMOS. The findings indicate that perceived usefulness does not have a significant effect on attitude towards mobile app use. However, perceived ease of use, social and peer influence, and intention to purchase were shown to exhibit positive effects on attitude in this regard. The results also demonstrate that attitude towards mobile app use is a full mediator on three paths of the model. Finally, moderation analysis showed that only age has a mediating effect on the path from perceived usefulness to attitude towards mobile app use.

Identification of two decision‐making paths underpinning the continued use of branded apps

“…Accordingly, for each type of benefit, this study focuses on a selection of typical benefits that past studies have recurrently examined. For example, for the utilitarian benefits, this study focuses on ease of use and usefulness, which are well-known drivers of technology acceptance and use (e.g., Byun et al, 2018;Vahdat, Alizadeh, Quach, & Hamelin, 2020;Veríssimo, 2018); it also considers practical relevance (or interpersonal utility), given its documented impact on the intention to use apps (e.g., Stocchi, Michaelidou, & Micevski, 2019). In terms of hedonic benefits, this study concentrates on selfenhancement (e.g., Scholz & Duffy, 2018;Zhu, So, & Hudson, 2017), entertainment (e.g., Gao, Rohm, Sultan, & Pagani, 2013;van Noort & van Reijmersdal, 2019), and the visual (or aesthetic) appeal/layout of the app (e.g., Kumar et al, 2018).…”

Hubungan Variabel Pemasaran Digital Terhadap Electronic Word Of Mouth (E-WOM): Sebuah Studi Literatur

“…Setelah mereka mendapatkan pengalaman dari kemudahan menggunakan situs, kualitas informasi yang baik seperti kejelasan informasi, informasi yang relevan, tepat waktu, maka akan terbentuk rasa kepuasan secara elektronik yang ditunjukkan dengan kesediaan mereka dalam membagikannya kepada konsumen lain. Dari [14], [71], [46], [41], [72], [18], [40], [73], [15], [74], [63], [23], [71], [59], [75], [40], [17] 3 SEM [65], [14], [41], [66], [32], [76], [51], [64], [56], [60], [47], [3], 4…”

User perceptions of powered wheelchair features.

“…Extensions of TAM including variables such as self-identity (Lee et al, 2006) and social and peer influence (Malhotra & Galletta, 1999;Vahdat et al, 2020) have found that these social factors influence attitude towards technology and acceptance of technology. In addition, TAM2 that incorporates other theoretical constructs to TAM discovered that social influence processes (subjective norm, voluntariness, and image) and cognitive processes (relevance of job, output quality, result demonstrability, and perceived ease of use) influence user's acceptance of technology (Venkatesh & Davis, 2000).…”