Explaining the adoption of transactional B2C mobile commerce

By Mohamed Khalifa, Kathy Ning Shen. Journal of Enterprise Information Management, 2008

305 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/f8e086f1ab41e86277bb0c16ad36333434988986

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

In Sociology and Political Science

In Strategy and Management

Citations in the corpus

What drives Malaysian m-commerce adoption? An empirical analysis (2009, background): “Besides, technological factors, TPB also focused on social and individual factors (Khalifa and Shen, 2008).”
An investigation of consumer acceptance of M-Banking in Australia (2010, result): “Thus, this study validates the literature that has found a significant negative relationship between cost and intention to use M-Services ( Khalifa and Ning Shen, 2008”
Mobile-banking adoption by Iranian bank clients (2014, result): “This study validates the literature that has found a significant negative relationship between cost and intention to use M-Services (Khalifa and Ning Shen, 2008; Luarn and Lin, 2005; Pagani, 2004; Wessels and Drennan, 2010).”
Mobile Banking Adoption: An Examination of Technology Acceptance Model and Theory of Planned Behavior (2013, background): “Many existing studies have shown that perceived usefulness directly and significantly influences behavioral intention to use a particular online system (Chen and Ching, 2002; Chen et al., 2002; Heijden et al., 2003; Guriting and Ndubisi, 2006; Khalifa and Shen, 2008; Liao et al., 2007; Lin and Chang”
IT as enabler of sustainable farming: An empirical analysis of farmers' adoption decision of precision agriculture technology (2012, unknown): “In order to reflect the complex nature of such innovation, the research also includes the identification of several variables like social influence and individual characteristics, as recommended by Khalifa and Shen [37].”
Mobile Banking Adoption: Application of Diffusion of Innovation Theory (2012, result): “This result is consistent with and supports prior research related to mobile commerce [Khalifa & Shen 2008; Lu et al. 2003; Luarn & Lin 2005; Nor & Pearson 2007].”