Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean's model perspective

By Kun Chang Lee, Namho Chung. Interacting with computers, 2009

703 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/2ff5ae6429ebd1df2acca2579abf8d2c718c2232

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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

Mobile-banking adoption by Iranian bank clients (2014, background): “…in spite of the increasing desire of business-owners for offering banking services via cell-phone, the number of users is less the level expected by the experts of this industry (Kleijnen et al., 2004; Laukkanen and Cruz, 2009; Lee and Chung, 2009; Riivari, 2005; Suoranta and Mattila, 2004).”
The determinants of recommendations to use augmented reality technologies: the case of a Korean theme park. (2015, background): “Within the mobile service acceptance context, many researchers have confirmed the effect of content quality on users’ acceptance (Chae et al., 2002; Kuo et al., 2009; Lee & Chung, 2009; Wang & Chen, 2011).”
An investigation of consumer acceptance of M-Banking in Australia (2010, background): “However, trends in M-banking thus far show that consumer uptake around the world has fallen below the expectations of both academics and industry specialists (Kleijnen et al., 2004; Laukkanen and Cruz, 2009; Lee and Chung, 2009; Riivari, 2005; Suoranta and Mattila, 2004).”
Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services (2010, background): “Prior research typically tests trust as a single construct [4,18,39,51] or investigates trust constructs and risk dimensions disjointedly [5,56].”
The role of information in mobile banking resistance (2010, background): “Indeed, it has been argued that the reason behind the belated dissemination of mobile banking is in the system limitations, such as tiny screens and keypads and slower transaction speeds, compared to computer based internet banking (Lee and Chung, 2009).”
The influence of tourism website on tourists' behavior to determine destination selection: : A case study of creative economy in Korea (2015, methodology): “With reference to the study models of Roca et al. (2006) and Lee and Chung (2009), this study hypothesizes that the information quality, the service quality, and the design quality affect the confirmation of the destination website. earch model. bsite on tourists' behavior to determine destination…”
Investigating the factors influencing the adoption of m-banking: A cross cultural study (2015, background): “…adoption has been conducted in the United States and Western Europe (Arvidsson, 2014; Constantiou, Damsgaard & Knutsen, 2006; Laukkanen & Pasanen, 2008; Nilsson, 2007), while only limited work exists in developing economies (Alsheikh & Bojei, 2012; Laukkanen & Kiviniemi, 2010; Lee & Chung, 2009).”
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, methodology): “For example, Sripalawat et al. (2011) used Technology Acceptance Model (TAM); Al-Husein and Sadi (2015) implemented an extended TAM; Lee (2009) However, this study differs from the aforementioned studies as it expands the range of factors that might impact the use of M-Banking within the context of ”
Mobile banking adoption: A literature review (2015, background): “A particularly prominent antecedent is consumer trust in mobile banking, its associated applications, and the bank, according to several authors (e.g., Jain, 2013; Lee and Chung, 2009; Lin, 2011; Zhou, 2011).”
An Integrated Adoption Model of Mobile Cloud Services: Exploration of Key Determinants and Extension of Technology Acceptance Model (2014, background): “…been particularly useful in exploring user acceptance of recent novel mobile technologies and services, including smartphones (Joo and Sang, 2013; Park and Chen, 2007), mobile banking (Lee and Chung, 2009), mobile games (Ha et al., 2007), and long-term evolution (LTE) services (Park and Kim, 2013).”
Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model (2019, background): “Brand image (BI) has a signiﬁcant impact on users’ trust (TRU) of Fintech services.”
Mobile Banking Adoption: Application of Diffusion of Innovation Theory (2012, methodology): “The measurement items of these constructs are adopted from prior research on internet and mobile banking [e.g. Kuisma et al. 2007; Lee & Chung 2009; Lin 2011; Ndubisi & Sinti 2006; Poon 2008; Rogers 2003; Tan & Teo 2000] and adapted for this study.”
Examining the Effect of Tour Guide Performance, Tourist Trust, Tourist Satisfaction, and Flow Experience on Tourists' Shopping Behavior (2014, background): “…a tourist’s perceived trust in the tour guide is important because trust can be defined as “the willingness to rely on an exchange partner in whom one has confidence” (Moorman, Deshpandé, & Zaltman, 1993, p. 82), which is an important factor in building customer satisfaction (Lee & Chung, 2009).”