Effects of institutional and technological factors on adoption of mobile banking by agri-entrepreneurs in Northern Uganda

PurposeThe purpose of this paper is to identify the factors influencing the adoption of mobile self-service retail banking technologies, and the degree of influence of each factors leading their usage. Having mobile banking (MB) as the reference service and drawing on previous studies in the field, an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model is proposed and empirically validated to investigate the impact of technology, social, channel and personal factors on potential customers’ usage intentions.Design/methodology/approachOn evidence drawn, through a dedicated research instrument, from 513 non-users in Greece, the effects of the extended UTAUT’s drivers on MB adoption intentions are assessed using partial least squares path methodology.FindingsThe results indicated that technology-related factors, expressing innovation expected performance, and social influence are the leading determinants of MB adoption intentions, followed by the two channel-related factors, expressing perceived risk and trust toward MB usage, and potential users’ inherent innovativeness. Furthermore, the consideration of service experience as a moderating variable has shown that there is a significant difference in the effects of social influence and perceived trust on adoption intention between potential users with high and limited service experience.Research limitations/implicationsThe sample is country specific and this may affect generalizability of findings. Also, the cross-sectional design adopted does not reflect the temporal changes.Practical implicationsFrom a practical point of view, the findings suggest that banks should consider, except of the technology-related factors of MB, the way that potential users perceive the channel-related factors as well as the individual differences in order to improve the MB acceptance level.Originality/valueAlthough there are a few studies that use UTAUT to predict MB adoption, the proposed model is the first that combines four groups of MB adoption driving factors into a causal model in order to explain MB adoption intentions in a country which is facing severe financial crisis for the last eight years, Greece.

The purpose of this paper is to explore and discuss the determinants that inhibit mobile banking adoption by the rural unbanked in Zimbabwe. The researchers conducted an extensive literature search. The references consulted were categorically analysed and articles were considered to compile the findings of this paper. The study provides a contribution to practice by providing a better understanding of issues associated with mobile banking diffusion mechanisms that aid the adoption of mobile banking systems. The main findings of the research indicate that there is a slow and often annoying adoption of mobile banking within Zimbabwe by the rural unbanked due to a considerable number of inhibitive factors. This research reveals the nature of adoption that may reliably inform service providers about strategies to consider when appealing to this market segment. The study also shows that mobile banking adoption cannot ignore the use of marketing oriented factors in order to avoid the assumption of being myopic by considering only the product based variables to assess behavioural intention to adopt mobile banking services as identified in Technology Acceptance Model. However, the literature review also reveals that there are virtually no substantive theoretical researches which adequately extend the TAM using all the marketing mix elements. Therefore Technology Acceptance Model is extended using the marketing mix elements to better predict the behavioural intention to adopt mobile banking by the rural unbanked. This research, having studied the behaviour of the rural unbanked, argues that mobile banking service providers are likely to develop tailor-made integrated marketing mix strategies in order to financially include this market segment. The paper recommends for future research to use the additional marketing mix elements of physical evidence, processes and people in the adoption of mobile banking services by the rural unbanked.

Challenges with the adoption of mobile banking technologies are best understood by studies on adoption. This however requires understanding the factors that influence its adoption in a given region. Technology Acceptance Model (TAM) was adopted to understand the underlying factors that influence mobile banking adoption by business executives in Nigeria. TAM was extended to include economic issues. Data were collected from 66 business executives in Nigeria using a structured questionnaire based on the model; the questionnaire was further analyzed using principal component analysis and regression analysis. Results showed that economic issues and social influence were major determinants for mobile banking adoption by business executives in Nigeria. However, economic issues were considered as the main predictor with a p-value of 0.000. This study contributes to the existing knowledge by giving consideration to business executives’ adoption of mobile banking in a developing country.

The Indian banking sector can take advantage of the proliferation of smartphones as well as the government’s encouragement of cashless transactions to accelerate the use of mobile and online banking. The purpose of this study is to understand the initial acceptance of mobile banking by existing online banking users. Few studies have focused on online banking users’ behavioural intention to use similar services (such as mobile banking) in India. To this end, a theoretical model was developed using the technology acceptance model, which was extended to cover the adoption factors that influence users of online banking to use mobile banking. These adoption factors comprise perceived ease of use, perceived security, mobile self-efficacy, social influence and customer support. The dependent variable is customers’ behavioural intention to use mobile banking. A partial least squares structural equation modelling analysis was used to test the theoretical model with sample data from 420 online banking customers of various public, private, foreign and co-operative banks in India. The study found that the adoption factors had a significant impact on customers’ behavioural intention to use mobile banking. The findings of this study provide insight into digital banking channels, contribute to existing research on digital banking adoption and will educate banks and financial institutions on the adoption of mobile banking in India.

COVID-19 has changed the way people live, bank, shop, and work by moving them toward digitalization. It has also driven the trend toward a cashless society, and this change has taken place in an increasingly uncertain and fearful environment. This study explores the social practice of mobile banking (MB) adoption during the global COVID-19 pandemic. Data were collected from banking customers and managers using online customer reviews, semi-structured interviews, and focus groups to develop an in-depth understanding of the subjective realities of their use of MB. This approach also ensured that social distancing practices were maintained during interviews conducted during the COVID-19 outbreak. Analysis of the data suggests that social media, social circles, family members, and teams of customer service agents play an important role in developing the social practice of MB. This study culminates in the presentation of the social practice of MB adoption (SPOTA) framework. This framework is based on extended social practice theory in the context of MB adoption. The study discusses the practical implications of the findings for systems developers. The many expectations of people with or without disabilities of MB are discussed and the findings could be used to improve the accessibility and habitual practice of MB adoption.

Digital transformation is reshaping all industries, including the banking sector. One key driver is the shift in customer behavior toward smartphone-based financial transactions. Bank BCA introduced the myBCA mobile banking application to address this trend; however, its adoption remains relatively low. This study investigates the factors influencing customer adoption of myBCA, addressing a research gap in understanding mobile banking adoption in the context of a new platform with low user uptake. The study extends the Technology Acceptance Model (TAM) by integrating six additional variables: Perceived Trust (PT), Social Influence (SI), Perceived Risk (PR), Perceived Security (PS), and Habit (HT), alongside Perceived Usefulness (PU) and Perceived Ease of Use (PEU). Intention to Use (ITU) is positioned as a mediating variable. Data were collected from 400 respondents via online surveys using simple random sampling. Analysis was conducted using PLS-SEM with SmartPLS. Results indicate that PU, PEU, PT, SI, PS, and HT positively influence Adoption of Mobile Banking (AMB) through ITU, while PR has a negative effect. ITU explains 59.5% of the variance, while AMB is explained by 48.1%. The novelty of this research lies in its comprehensive model that incorporates behavioral, security, and trust-related variables to explain adoption in a newly launched mobile banking platform—an area not widely examined in existing TAM-based studies. This study offers theoretical contributions for future research and practical insights for Bank BCA to enhance myBCA adoption by focusing on trust-building, security assurance, and habitual engagement strategies.

Determinants affecting mobile banking adoption by generation Y based on the Unified Theory of Acceptance and Use of Technology Model modified by the Technology Acceptance Model concept

Followed by the mobile technology development and high rate of mobile internet usage worldwide, mobile banking has become prominent technological innovation in the banking sector giving a competitive edge over traditional banking. Smartphones and mobile technologies are becoming increasingly available and affordable in North Macedonia in recent years, and many banks are providing banking services to customers via smartphones. The adoption of mobile banking in the country has not reached its full potential yet and has been at its early stage of adoption. However, not many studies investigate determinants of mobile banking adoption which may help banks to design more suitable mobile services for customers and increase the m-banking adoption in the country. This study is the first attempt to fill this gap by examining determinants that affect consumer intention to use mobile banking services in the country, as developing country. To get insights regarding the user adoption of m-banking services in the country, a survey was conducted among more than 150 mobile users. This study proposes a mobile banking user adoption research model based on the Technology Acceptance Model (TAM), and beside basic constructs (perceived ease of use, perceived usefulness and behavioral intention to use) it integrates social image, trust and risk that are specific for mbanking. The results of the empirical study are supporting the proposed basic constructs of the model and some specific relationships are unveiled. This research is a holistic approach representing a solid base for future studies on the adoption of new technologies in the country. Its originality and practical implications are reflected in determining the significance of additional constructs that are specific for m-banking. From practitioner’s viewpoint, this research offers valuable insights for developing m-banking solutions.

This research explores mobile banking adoption in rural Gujarat which focuses on the roles of the performance expectancy and effort expectancy. The research is grounded in the Technology Acceptance Model where it explores user perceptions and behaviours. The insights from diverse settings in the literature review emphasizes the importance of aligning technology with users' needs and considering socio-economic factors. The research utilized a quantitative approach with the Confirmatory Factor Analysis and Structural Equation Model which acknowledge the measurement model's effectiveness. Findings highlight the mediating influence of socio-economic factors between effort expectancy and performance expectancy which impacts the users' perceptions and adoption. This study contributes insights for promoting inclusive financial solutions in regions with diverse socio-economic backgrounds, urging future research to explore qualitative methodologies and additional contextual factors. To explore user adoption of mobile banking in rural Gujarat, specifically focusing on the impact of the performance expectancy and effort expectancy, with the aim of providing valuable insights for promoting financial inclusion in the region. Findings and The findings of the study suggest that as individuals in rural Gujarat experience enhanced socio-economic conditions, they are more likely to perceive mobile banking as userfriendly and capable of meeting their financial needs. These insights emphasize the crucial role of addressing socioeconomic factors in promoting favourable attitudes toward mobile banking adoption in regions with unique challenges and opportunities. The implications emphasize the need for specific strategies and inclusive financial solutions in diverse socio-economic backgrounds to enhance mobile banking adoption. The uniqueness of the study lies in its focused exploration of mobile banking adoption in rural Gujarat by highlighting on the unique socio-economic and cultural factors that influence user perceptions. By emphasizing the mediating role of socio-economic factors this research provides valuable insights into the dynamics of user behaviour in a specific regional context. The study subsidises to the existing literature by addressing research gaps and presenting practical implications for promoting inclusive mobile banking solutions which makes it a valuable resource for financial institutions seeking to enhance financial inclusion in diverse regions.

The paper focused on development of mobile banking adoption model depicting two phases of mobile banking adoption vis-à-vis reducing the resistance to adopt mobile banking and inducing the adoption of mobile banking. The paper has used integrated Technology Acceptance Model (TAM) as proposed by Gu et al. (2009), along with two other factors namely Trust and Relative Advantage to study mobile banking adoption behaviour and Resistance Model as proposed by Laukkanen & Kiviniemi (2010) adding relative disadvantage (negative relative advantage) as one more factor, to study the mobile banking resistance behaviour. The data has been collected using online as well as offline questionnaire from 633 respondents in India. The model of dual phase mobile banking adoption will raise an opportunity for increased use of mobile banking in India.

This research examines the information security of adopting mobile banking and suggests maximizing information security in mobile banking in different ways. Security issues pose a threat to mobile banking adoption and diffusion. Therefore, reliable security measures and improved trust improvement are suggested to address information security in adopting mobile banking for financial services. A questionnaire survey is conducted with users of mobile banking technology. Random sampling is adopted in the study. 650 questionnaires were sent to respondents, and 303 responses were recorded. A confirmatory factor analysis with varimax rotation was conducted following correlation and multiple regression analysis to test the hypothesis of the study. The research finds that (1) perceived security and trust affect mobile banking self-efficacy and performance (SEP) of adopting mobile banking for financial services; (2) Reliable security measure and perceive trust improvement positively influence (SEP) of adopting mobile banking for financial services. This study shows the significance of user perceptions of security by inspecting the content of the security rules of mobile banking for clients’ levels. It includes the adoption of technology in financial services. Therefore, the study links the technology acceptance model (TAM) with the literature on perceived security and trust of adopting mobile banking for financial services. The research has applied to the banking industry to develop and expand its banking market by developing reliable security measures and improving the perceived trust of customers to conduct banking transactions using mobile banking technology.

This study investigates the influence of perceived external control and computer playfulness on behavioral intention to adopt mobile banking, with perceived ease of use (PEOU) as a mediator. Mobile banking adoption is driven by factors beyond basic usability, including security, personalization, and trust. While the Technology Acceptance Model (TAM) provides a foundation for understanding user acceptance, this research extends it by focusing on the roles of perceived external control (beliefs about external factors impacting banking outcomes) and computer playfulness (enjoyment derived from the user experience). Previous studies suggest that financial control significantly affects use intentions, with ease of navigation enhancing users' sense of control. Similarly, the enjoyment derived from mobile banking increases engagement and adoption. However, security and privacy concerns remain paramount. The Technology Acceptance Model's third version, TAM3, which incorporates social influence and external factors, acknowledges the complexity of technology adoption, but its focus on individual-level influences and complexity can be seen as limitations. Therefore, this study explores the importance of integrating additional constructs, such as trust and emotional responses, along with regulatory compliance, to develop a more comprehensive understanding of user behavior. This study examines the interplay of computer playfulness and perceived external control with mobile banking adoption, seeking to determine which factors have the most significant impact on user behavior. These insights are intended to help financial institutions optimize their mobile banking offerings through user-centric design and robust security measures to promote widespread adoption.

PurposeThis study aims to investigate consumers' mobile banking adoption through an integration of the technology acceptance model (TAM) with work on perceived benefits and perceived risks.Design/methodology/approachData were collected from 435 university students who were non‐users but future prospects, and analyzed by structural equation modeling (SEM).FindingsIt was found that perceived usefulness, perceived social risk, perceived performance risk and perceived benefit directly affect attitudes towards mobile banking, and that attitude is the major determinant of mobile banking adoption intention. In addition, no direct relationship between perceived usefulness and intention to use, perceived ease of use and attitude, financial risk, time risk, security/privacy risk and attitude was detected.Research limitations/implicationsThis study reflects the perceptions of non‐users and university students – potential future prospects – in an emerging country. The main theoretical contribution of this research is the development of a risk‐benefit model by extending TAM.Practical implicationsBanks should rely on increasing the benefit perceptions of mobile banking. Simultaneously, decreases in social and performance risk should be promoted strongly.Originality/valueIn the study, the adoption intention of mobile banking is tested by integrating TAM with perceived benefits and perceived risks – social risk, performance risk, financial risk, time risk, security risk and privacy risk.

The primary aim of this study was to examine factors influencing consumers’ adoption of mobile banking services Gambella region, Ethiopia. From the literature, seven determinant factors were identified. Each variable were measured by using yes or no questions. This study combines TAM and IDT along with perceived risk, awareness constructs and perceive trust. The primary data were collected using questionnaires distributed to customers of Commercial bank of Ethiopia for mobile banking users. The Statistical Package for Social Sciences (SPSS) version 20 was used to analyze the data. Descriptive and inferential statistics were used to address the research objectives and binary logistic regression analysis employed. The results revealed that, with exception of perceived risk, perceived usefulness, perceive ease of use; perceive trust, performance expectancy and awareness have positive and statistically significant with the adoption of mobile banking. This study recommended that, banks should encourage and create awareness to the public through emphasizing the benefits or advantages that can be gained from the mobile banking services to increase the adoption level and to provide further directions into mobile banking strategies for mobile network operators, banks and service provider to design and implement mobile banking services to yield higher consumer acceptance.

This paper studies the use of mobile banking in Jordan and the factors affecting its adoption through the Technology Acceptance Model (TAM). It examines user behavior across new banking technologies and resistance to adoption, focusing on factors such as perceived ease of use, usefulness, cost, social influence, and trust. The study employed convenience sampling because of privacy restrictions and the lack of a reliable customer database. 498 individuals completed a structured questionnaire, and 437 of them provided valid answers (87.8%). Using a 5-point Likert scale, the questionnaire evaluated demographic information and opinions about the adoption of mobile banking. The responses were analyzed using SmartPLS software. The results reveal that perceived usefulness is a key predictor of the willingness of the Jordanian population to adopt mobile banking. Perceived risk also positively impacts mobile banking usage, while perceived ease of use presents a moderate but significant barrier to adoption. Perceived ease of use also has a significant influence on perceived usefulness, which mediates its effect on adoption. While social influence plays an important role in adopting mobile banking services, trust does not directly affect the intention to use these services.