An extension of the technology acceptance model in an ERP implementation environment

By Kwasi Amoako-Gyampah, Al Farooq Salam. Information Manager (The), 2004

1,017 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/7401b9ed890567654499eab5299526cdbfba25c3

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 Management Information Systems

Citations in the corpus

Understanding the Blockchain technology adoption in supply chains-Indian context (2018, background): “These studies include ERP (Amoako-Gyampah and Salam 2004; Calisir et al. 2009; Sternad and Bobek 2013), bitcoin (Kumpajaya and Dhewanto 2015; Folkinshteyn and Lennon 2016), mobile banking (Martins, Oliveira, and Popoviˇc 2014; Pattansheti et al. 2016), internet of things (Gao and Bai 2014), RFID…”
Understanding e-learning continuance intention: An extension of the Technology Acceptance Model (2006, background): “For example, Amoako-Gyampah and Salam (2004) showed that project communication affects beliefs in the benefits of the enterprise resource planning system.”
Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective (2020, neutral): “In e-commerce and IS literature, trust has been widely acknowledged in in ﬂ uencing user behavior in adoption of technologies [5]; [43]; [91].”
Technology acceptance model: a literature review from 1986 to 2013 (2014, background): “External predictors: external predictors for the prediction of the variables perceived usefulness and perceived ease of use such as technology anxiety [69], prior usage and experience [10, 63], self-efficiency [25], and confidence in technology [6]; 2.”
An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model (2008, background): “In this way, much research has verified the external variables of a TAM (e.g., Amoako-Gyampah & Salam, 2004; Burton-Jones & Hubona, 2006; Hong et al., 2002; Hu, Clark, & Ma, 2003; Shang et al., 2005; Venkatesh & Davis, 2000).”
The role of moderating factors in user technology acceptance (2006, methodology): “For example , PEOU has significant effects on BI in some studies but not in others .”
Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory (2009, background): “…to user acceptance research of various types of technologies including e-mail, word processor, world wide web, enterprise resources planning (ERP) systems, and e-commerce (Amoako-Gyampah & Salam, 2004; Davis, 1989; Davis et al., 1989; Gefen, 2004; Gefen, Karahanna, & Straub, 2003; Pavlou, 2003).”
Technology Acceptance among Physicians (2007, background): “…influence on behavioral intention to accept technology through both the attitudinal, perceived ease of use, and perceived usefulness constructs (Amoako-Gyampah and Salam 2004; Burton-Jones and Hubona 2006; Hwang 2005; James et al. 2006; S. Lee et al. 2006; McKechnie, Winklhofer, and Ennew…”
Examining the critical success factors in the adoption of enterprise resource planning (2008, background): “Amoako-Gyampah and Salam [ 7 ] found that effective communication is one of the success factors that influence the acceptance of technology in an ERP implementation environment.”
Ecotourism Behavior of Nature-Based Tourists: An Integrative Framework (2018, methodology): “Several studies have used the TAM to examine the usage intention of new information systems, such as enterprise resource planning (Amoako-Gyampah and Salam 2004), consumer-generated media for travel planning (Ayeh et al. 2013), loyalty to a public bicycle system (S.Y. Chen 2016), green information…”
Understanding determinants of cloud computing adoption using an integrated TAM-TOE model (2015, neutral): “(2009), Amoako-Gyampah and Salam (2004), and Kerimoglu et al.”
User satisfaction from commercial web sites: The effect of design and use (2006, background): “Perceived usefulness (PU) and perceived ease of use (PEU) are important in explaining the behavioral intention to use IS [3].”
Mobile Banking Adoption: An Examination of Technology Acceptance Model and Theory of Planned Behavior (2013, background): “…of personal computers in the workplace (Hamner and Qazi, 2009; Moore and Benbasat, 1991; Igbaria et al., 1996), internet use (Lederer et al., 2000); e-commerce (Pavlou, 2003); ERP acceptance (Amoako-Gyampah and Salam, 2004); telemedicine (Hu et al., 1999); internet banking (McKechnie et al., 2006).”