Understanding dynamics between initial trust and usage intentions of mobile banking

By G. Kim, Bongsik Shin, Ho Geun Lee. Information Systems Journal, 2009

947 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/016f094e33a2fc287723adc790ab65b9dc686b32

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In Information Systems and Management

In Organizational Behavior and Human Resource Management

In Sociology and Political Science

Citations in the corpus

Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation (2015, background): “…users ’ perception of the m-payment service providers ’ adherence to fair rules of conducting transactions, consistency in m-payment ’ s actions and policies, and the perception that m-payment will continue its commitment to provide reliable services (McKnight et al. 2002; Kim et al. 2009a, b, c).”
Mobile banking adoption: A literature review (2015, background): “…acceptance model (TAM) (e.g., Aboelmaged and Gebba, 2013; Chitungo and Munongo, 2013; Safeena et al., 2012), innovation diffusion theory (IDT) (e.g., Kim et al., 2009; Lin, 2011), or the unified theory of acceptance and use of technology (UTAUT) (e.g., Luo et al., 2010; Tan et al., 2010; Yu, 2012).”
Determinants of continuance intention to use the smartphone banking services: An extension to the expectation-confirmation model (2016, background): “Banks introduce smartphones banking services to provide better customer service using latest technology (Kim et al., 2009; Lee and Chung, 2009).”
Examining mobile banking user adoption from the perspectives of trust and flow experience (2011, background): “Prior research has suggested the effect of structural assurance on user trust in online health infome-diaries [37] and mobile banking [3].”
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, background): “In other words, information quality measures the fitness for use of the information provided by a technological service through capturing the content issued (Changchit et al., 2017; Han et al., 2016; Kim et al., 2009).”
Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) (2017, background): “Reviewing the literature related to technology adoption, trust was found to be a key predictor of behavioural intention (e.g. Kim et al. 2009; Luo et al. 2010; Venkatesh et al. 2012; Yadav et al. 2016) and within e-learning (e.g. Alwi and Fan 2010; Dzunic et al. 2011; El-Khatib et al. 2003; Sharma…”
Trust in a specific technology: An investigation of its components and measures (2011, background): “Knowledge Lippert, 2007 Accuracy, reliability, safety Initial trust in mobile banking in.uences behavioral intentions Initial Kim et al. 2009 Functionality, dependability, helpfulness Trust in IT in.uences PU and PEOU Knowledge Thatcher et al., 2011 Online Vendor Ability, integrity, benevolence…”