A review for mobile commerce research and applications

By Eric Wai Ting Ngai, Angappa Gunasekaran. Decision Support Systems, 2007

594 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/7d45890637abd235305081797b2dd1d811a1616c

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In Computer Networks and Communications

In Information Systems

In Information Systems and Management

Citations in the corpus

A method for taxonomy development and its application in information systems (2013, methodology): “Step 4e: We identify additional applications from the literature to consider (Varshney & Vetter, 2002; Ngai & Gunasekaran, 2007): Mobile auctions and financial services.”
How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study (2015, unknown): “…one co-author conducted the screening of the abstract of each article in order to assess its relevance with our research objectives and identify duplicated articles (Samuel Fosso Wamba, et al., 2013; Kitchenham, 2004; E. W. T. Ngai & Gunasekaran, 2007; E. W. T. Ngai, Hu, Wong, Chen, & Sun, 2011).”
Reconstructing the giant: On the importance of rigour in documenting the literature search process (2009, unknown): “However, most striking is the fact that only 2 articles comprehensibly document the underlying search phrases (Gerwin and Barrowman 2002, p. 942, and Ngai and Gunasekaran 2007, p. 4).”
An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models (2008, background): “In the past, mobile devices were regarded as a luxury item, but now the perception of luxury is related more to the use of new mobile services than to the devices [23].”
Modeling users’ acceptance of mobile services (2012, background): “…sports, banking information, news, etc.), database services (telephone direc-tories, map guides, etc.), entertainment (ringtones, videos, games, etc.) and commercial transactions through the mobile devices (buying products, making reservations, banking, stock trading, etc.) [46, 51, 66].”
Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open Innovation (2021, unknown): “Introduction Online food delivery service (OFDS) can be defined as any food delivery transaction with monetary value that is done through mobile handheld devices, such as smartphones or personal digital assistants [1].”
Standing on the Shoulders of Giants: Challenges and Recommendations of Literature Search in Information Systems Research (2015, background): “…to 1997 because they wanted to have a representative sample of literature from the years before and after the dot.com market crash of 2000, while Ngai and Gunasekaran (2007) consider only studies published between 2000 and 2003 because most of the research in their field (m-commerce) began…”
Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services (2010, unknown): “[1,11,36,68,69,81,89].”
The Little We Know: An Exploratory Literature Review on the Utility of Mobile Phone‐Enabled Services for Smallholder Farmers (2018, background): “Other literature reviews related to mobile phones and m-services have focussed on micro and small enterprises (Donner and Escobari, 2010), financial services (Shaikh and Karjaluoto, 2015; Duncombe and Boateng, 2009) and m-commerce (Ngai and Gunasekaran, 2007) but do not offer insights related to far”
Big data and disaster management: a systematic review and agenda for future research (2017, background): “Ngai and Gunasekaran (2007) and Ngai and Wat (2002) reviewed the literature on electronic and mobile commerce, and provided useful insights into these topics.”
Determinants of Mobile Banking Adoption in the Ghanaian Banking Industry: A Case of Access Bank Ghana Limited (2015, background): “The mobile commerce involves such applications like mobile banking, mobile payment, mobile marketing [6] [7].”
Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS) (2011, background): “…flexibility and mobility in healthcare information services (Ahuwalia & Varshney 2009; Akter et al. 2010; Chatterjee, Chakraborty, Sarker, Sarker & Lau, 2009; Junglas, Abraham & Watson 2008; Luo, Li, Zhang & Shim 2010; Muntermann 2009; Ngai & Gunasekaran 2007; Sneha & Varshney 2009; Varshney 2008).”