Factors affecting the adoption of mobile banking: Sample of Turkey

Bidar, Reihaneh; Fard, Mani B.; Salman, Yücel Batu; Tunga, M. Alper; Cheng, Hong-In

doi:10.1109/icact.2014.6779165

Cited by 11 publications

(11 citation statements)

References 19 publications

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“…Therefore, it was proved to impact satisfaction of mobile banking users' attitudes positively. Next factors were found to be perceived usefulness and ease of use, which were also consistent with the previous research (Bidar et al, 2014;Chuah, 2016). This finding revealed that users adopted mobile banking and became satisfied with it when mobile banking service technology was perceived as more useful than traditional banking services and the usage of this service was easy.…”

Section: Discussionsupporting

confidence: 87%

Generating and Assessing Consumer’s Innovation Adoption through Consumer Innovativeness, Innovation Characteristics and Perceived Brand Innovativeness

Alan¹,

Kabadayı²,

Bakis³

et al. 2017

IJMS

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Concerning the digitalism, globalization and competition; offering innovative products or services starts to become a critical issue for banks. Banks adapt its technological infrastructure for mobile banking applications to serve in more efficient and valuable way to their existing and potential customers. Unlike with the western countries, mobile technologies usage in developing countries have skipped lots of steps and become so popular. So for, one of the emerging market was chosen for the data collection and data were collected via internet survey with 451 participants. The effects of innovation characteristics (compatibility, ease of use, perceived usefulness, observability, perceived risk), consumer innovativeness and consumer perceived brand innovativeness on consumer innovation adoption were investigated in a holistic model. The results suggested that innovation characteristics had the most impact on consumer innovation adoption. Among these characteristics, compatibility and observability were most influential factors. Consumer innovativeness also affected adoption of innovations. However, contrary to the expectations, consumer perceived brand innovativeness' effect on adoption was not supported. Future research directions and managerial implications were also given.

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Section: Discussionsupporting

confidence: 87%

Generating and Assessing Consumer’s Innovation Adoption through Consumer Innovativeness, Innovation Characteristics and Perceived Brand Innovativeness

Alan¹,

Kabadayı²,

Bakis³

et al. 2017

IJMS

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“…In Zhou's et al (2010) study, social influence has significant effects on user adoption. In ad-dition, these findings are in parallel with the study of Bidar's et al (2014) study. Hence, Turkish clients may be influenced by new advertising methods, their society, and social networks and these interactions can lead their decisions.…”

Section: Discussion and Limitationssupporting

confidence: 80%

“…Adoption factors Luarn and Lin (2005) usefulness, convenience, credibility, self-efficacy, cost Laukkanen (2007) efficiency, convenience, safety Lee et al (2007) perceived risk, perceived usefulness, trust Laukkanen and Cruz (2008) usage, value, risk, tradition and image Kim et al (2009) relative benefits, trust, structural assurances Gu et al (2009) usefulness, convenience, trust Crabbe et al (2009) perceived credibility, facilitating conditions Püschel et al (2010) compatibility, convenience, relative benefit, visibility, demonstrability, image, triability, perceived behavioral control, facilitation condition, subjective norm, testability, intention Koenig-Lewis et al (2010) compatibility, perceived usefulness, risk, trust, cost Cruz et al (2010) cost, risk, perceived advantage, complexity Wessels and Drennan (2010) usefulness, risk, convenience, financial cost, compatibility Zhou et al (2010) task characteristics, technology characteristics, convenience conditions, task technology fit, performance expectancy, effort expectancy, social influence Riquelme and Rios (2010) intention, perceived relative advantage, perceived risk, social norms, convenience, usefulness Singh et al (2010) usefulness, ease of use, subjective norms, self-efficacy, cost, safety, trust Lin (2011) perceived advantage, ease of use, compatibility, competence, benevolence, integrity Negash (2011) usefulness, convenience, enjoyment, network quality, security, privacy, trust, awareness, regulation, compliance Akturan and Tezcan (2012) risk, ease of use, usefulness, benefit Zhou (2012) structural assurance, ubiquity, ease of use, personal innovativeness Chen (2013) advantage, concurrency, trialability, complexity, different risk types, attitude, intention to use, brand image, brand awareness Hanafizadeh et al (2014) usefulness, ease of use, the need for interaction, risk, cost, compatibility with life style, credibility, trust Bidar et al (2014) usefulness, ease of use, security, privacy, compatibility, social influence, facilitating conditions, cost…”

Section: Authorsmentioning

confidence: 99%

An Integrated Fuzzy Ahp and Aras Model to Evaluate Mobile Banking Services

Ecer

2017

Technological and Economic Development of Economy

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Abstract.Mobile banking (M-banking) which integrates software, hardware, and human is a new platform for banks. Determining the performance of M-banking services helps bank practitioners identify better policy to improve their positions. The aim of this study is to develop an integrated model for evaluating M-banking services by two methods, namely the Fuzzy Analytic Hierarchy Process (FAHP) with an extent analysis approach and ARAS (Additive Ratio ASsessment). In this study, the priority weights obtained through the FAHP are combined with the ARAS method to assess and rank the M-banking services. Moreover, in order to verify the applicability of this proposed model, a case study in Turkey is offered. The findings indicate that facilitating conditions play the most determining role in the adoption of the M-banking, followed by self-efficacy, privacy risk, and security risk. Consequently, the proposed model helps to overcome difficulties in M-banking service evaluation process and increases the efficiency of the M-banking service activities. Besides, the case study validates that the proposed model is an effective and efficient decision making tool for the evaluation of M-banking services under fuzzy environments.

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“…Altinirmak et al (2017) explored m-banking quality factors among Turkish banks and found Denizbank has the highest performance regarding response time, accuracy, trust and accessibility. From a customer perspective, perceived usefulness, perceived ease of use, security and privacy, compatibility, social influence, facilitating conditions and perceived cost were identified as predictors for the use of mbanking in Turkey (Bidar et al 2014).…”

Section: M-banking In Iran and Turkeymentioning

confidence: 99%

Customer Value Perception toward Use of Mobile Banking Applications

Bidar¹

2018

Australasian Conference on Information Systems 2018

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Mobile banking (m-banking) is one of the most widely used applications and innovative banking services in the past decade. However, the adoption rate of m-banking in developing countries is low and still has potential for growth. We explored factors and value perceptions of clients toward the use of m-banking applications. A conceptual model is presented using the Technology Acceptance Model (TAM) and Uses and Gratification Theory (UGT). The tested variables are Perceived Usefulness, Perceived Ease of Use, Social Integrative, Personal Integrative and Hedonic Benefits. 278 valid survey responses were collected from Iranian and Turkish clients. Multiple regression analysis indicated that Perceived Usefulness and Social Integrative Benefit are the key drivers in both Iran and Turkey, but Hedonic Benefit is only significant in Iran. The results contribute to literature by integrating UGT and TAM and to participate as it enables banks to better design services and to improve customer experience.

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Factors affecting the adoption of mobile banking: Sample of Turkey

Cited by 11 publications

References 19 publications

Generating and Assessing Consumer’s Innovation Adoption through Consumer Innovativeness, Innovation Characteristics and Perceived Brand Innovativeness

Generating and Assessing Consumer’s Innovation Adoption through Consumer Innovativeness, Innovation Characteristics and Perceived Brand Innovativeness

An Integrated Fuzzy Ahp and Aras Model to Evaluate Mobile Banking Services

Customer Value Perception toward Use of Mobile Banking Applications

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