Explain the intention to use smartphones for mobile shopping

By Sinda Agrebi, Joël Jallais. 2015

381 citations recorded by the source corpus.

Subfields: Information Systems and Management, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/431774156f492610e3686f19bf94776a602990e2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

1. Michael D. Williams
2. Hannah R. Marriott
3. Subhro Sarkar
4. Arpita Khare
5. Sumedha Chauhan
6. Dharun Kasilingam
7. Neelika Arora
8. Thamaraiselvan Natarajan

In Marketing

1. K. Duffy
2. Dharun Kasilingam
3. Neelika Arora
4. Thamaraiselvan Natarajan
5. Subhro Sarkar
6. Joachim Scholz
7. Anil K. Gupta
8. Michael D. Williams

In Sociology and Political Science

1. Michael D. Williams
2. Hannah R. Marriott
3. K. Duffy
4. Subhro Sarkar
5. Arpita Khare
6. Sumedha Chauhan
7. Dharun Kasilingam
8. Neelika Arora

Citations in the corpus

• Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study (2018, background): “…influencers of intention, such as perceived ease of use (e.g. Hubert et al., 2017; Ko et al., 2009; Wong et al., 2012), perceived usefulness (e.g. Agrebi and Jallais, 2015; Aldás-Manzano et al., 2009; Hung, Yang & Hsieh, 2012) and social influence (e.g. Lu et al., 2017; Wong et al., 2012; Yang…”
• We ARe at home: How augmented reality reshapes mobile marketing and consumer-brand relationships (2018, background): “” The AR space manifests here as a hedonic space (Hirschmann and Holbrook, 1982; Agrebi and Jallais, 2015; Spaid and Flint, 2014) of inspiration and ideation, which allows consumers to explore their creativity.”
• Understanding consumers' continuance intention towards mobile purchase: A theoretical framework and empirical study - A case of China (2015, methodology): “As an emerging service, mobile purchase has received much attention from researchers (Agrebi & Jallais, 2015; Kim et al., 2015).”
• A meta-analysis of antecedents and consequences of trust in mobile commerce (2020, background): “Behavioral intention predicts users ’ actual adoption of an IS and its usage (Agrebi & Jallais, 2015; Davis, 1989).”
• Understanding the intention to use mobile shopping applications and its influence on price sensitivity (2017, methodology): “This study is an outcome of the future directions of studies conducted by Agrebi and Jallais (2015) and Wang et al. (2015).”
• Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory (2017, methodology): “Extant research while studying mobile shopping adoption or online purchase behavior have used Technology Acceptance Model (Agrebi and Jallais, 2015), Unified Theory of Acceptance and Use of Technology (UTAUT) model (Celik, 2016; Faqih, 2013; Yang, 2010; Yang and Forney, 2013), Diffusion of Innovatio”