Mobile-banking adoption by Iranian bank clients
By Payam Hanafizadeh, Mehdi Behboudi, Amir Abedini Koshksaray, Marziyeh Jalilvand Shirkhani Tabar. Telematics and informatics, 2014
648 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/e21d0f0c7efe8efa3c7efc2f2eda9a26709db21f
How researchers see this paper
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In Information Systems and Management
- Ali Abdallah Alalwan
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Pushp P. Patil
- Ali Tarhini
- Abdullah Mohammed Baabdullah
- Kate S. Hone
- M. Merhi
In Organizational Behavior and Human Resource Management
- Nripendra P. Rana
- Ali Abdallah Alalwan
- Yogesh Kumar Dwivedi
- Ali Tarhini
- Pushp P. Patil
- Kate S. Hone
- M. Merhi
- Abdullah Mohammed Baabdullah
In Sociology and Political Science
- Ali Abdallah Alalwan
- Yogesh Kumar Dwivedi
- Nripendra P. Rana
- Pushp P. Patil
- Subhro Sarkar
- Arpita Khare
- Sumedha Chauhan
- Yujong Hwang
Citations in the corpus
- Digital banking, customer experience and bank financial performance : UK customers' perceptions (2018, background): “Perceived Risk: Jun and Palacios (2016) found security as one of the key factors that affects service quality of mobile banking, while perceived risk is found to affect DB uptake in other countries (Martins et al., 2014; Akinci et al., 2003; Hanafizadeh et al., 2014).”
- An empirical study on trust in mobile banking: A developing country perspective (2016, background): “These are common concerns that users have about security (Akturan & Tezcan, 2012; Hanafizadeh et al., 2014; Kim et al., 2008; Lee, 2009; Luarn & Lin, 2005; Zhou, 2011, 2012a, 2013).”
- What catalyses mobile apps usage intention: an empirical analysis (2015, background): “Hanafizadeh et al. (2014) revealed that cost of using mobile banking services is one of the adoption determinants that customers would consider.”
- Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model (2019, methodology): “Based on the above literature analysis, we made the following hypotheses: Hypothesis 6 (H6): Brand image (BI) has a significant impact on users’ attitudes (ATT) toward the adoption of Fintech services.”
- Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, background): “Furthermore, a considerable number of studies in different contexts have focused on the factors that impact the use of M-Banking (e.g. Akturan and Tezcan (2010) in Turkey; Faria (2012) in Portugal; Hanafizadeh et al. (2014) in Iran; Afshan and Sharif (2016) in Pakistan; Koenig-Lewis et al. (2010) in”
- Predicting the intention to use mobile banking in India (2018, background): “…financial cost, which are considered to influence mobile banking acceptance (Luarn & D ow nl oa de d by U N IV E R SI T Y O F T O L E D O L IB R A R IE S A t 0 0: 47 0 8 Fe br ua ry 2 01 8 (P T ) Lin, 2005; Lee et al., 2007; Zhou, 2011; Yu, 2012; Hanafizadeh et al., 2014; Afshan & Sharif, 2016).”
- A meta-analysis of antecedents and consequences of trust in mobile commerce (2020, background): “In the context of m-commerce, several studies have highlighted that trust in the service provider facilitates consumers ’ attitudes and intentions to make additional purchases (Hana fi zadeh et al., 2014; Koksal, 2016; Oliveira et al., 2014; Zhou, 2011e).”
- Mobile banking adoption: A literature review (2015, background): “This effort is particularly important when the findings of isolated studies contradict one another (Hanafizadeh et al., 2014).”