Modeling the key factors influencing the adoption of mobile financial services: an interpretive structural modeling approach

Gupta, Shelly; Dhingra, Sanjay

doi:10.1057/s41264-021-00101-4

Cited by 21 publications

(16 citation statements)

References 83 publications

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“…This model has been employed to examine acceptance of technology in various fields, including computing technologies (Dwivedi et al 2019 ; Ayaz and Yanartas 2020 ), digital decision support system (Aljarboa and Miah 2021 ; Laka et al 2021 ), learning technologies (Almaiah et al 2019 ; Chao 2019 ; Altalhi 2021 ), social media (Al-Azawei 2018 ; Puriwat and Tripoposakul 2021b ), and healthcare system (Alam et al 2018 ; Nunes et al 2019 ). The studies that examine adoption of technology for banking services with UTAUT model are well established (Martins et al 2014 ; Bhatiasevi 2016 ; Sarfaraz 2017 ; Friadi et al 2018 ; Savic and Vasic 2019 ; Singh and Srivastava 2020 ; Yang et al 2021 ; Gupta and Dhingra 2022 ). Meanwhile, e-learning (Maphosa et al 2020 ; Raza et al 2021 ; Qiao et al 2021 ); tourism (Pinto et al 2022 ; Chang et al 2022 ; Godovykh et al 2022 ); mobile food delivery (Puriwat and Tripopsakul 2021a ); and online shopping (Erjavec and Manfreda 2022 ) are among the studies that use the UTAUT model to probe intention to use during the COVID-19 crisis.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It measures a person’s belief in the availability of organizational and technological infrastructure to enable the use of technology. Facilitating conditions is the most essential factor driving the adoption of mobile financial services (Gupta and Dhingra 2022 ). The availability of resources and expectations of simplicity of use increase the likelihood of using e-money with a smart phone (Friadi et al 2018 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the literature, previous studies examine factors influencing electronic banking services adoption, such as online banking, electronic banking, and mobile banking, using different theories and different model under a normal circumstance (Martins et al 2014 ; Bhatiasevi 2016 ; Sarfaraz 2017 ; Friadi et al 2018 ; Savic and Vasic 2019 ; Singh and Srivastava 2020 ; Yang et al 2021 ; Gupta and Dhingra 2022 ). Meanwhile, the studies that examined users’ intention to use technology during the COVID-19 crisis are dominant in the fields of learning (Maphosa et al 2020 ; Raza et al 2021 ; Qiao et al 2021 ), tourism (Pinto et al 2022 ; Chang et al 2022 ; Godovykh et al 2022 ), and online purchase (Erjavec and Manfreda 2022 ; Puriwat and Tripopsakul 2021a ), while studies on electronic payment usage during the crisis are focused on supplementing additional factors that influence intention of adoption to use (Musyaffi et al 2021 ; Santosa et al 2021 ; Upadhyay et al 2022 ).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An empirical study to explore the influence of the COVID-19 crisis on consumers' behaviour towards cashless payment in Malaysia

Kosim

2022

J Financ Serv Mark

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To move into a cashless society, it is important to investigate how consumers’ behaviour changes, particularly in response to extraordinary circumstances. Despite the movement restrictions implemented, the acceleration of e-commerce, initiatives taken by the government, and the modern payment system in Malaysia, cash remains the prevalent payment method. Hence, this study investigates how the coronavirus disease (COVID-19) crisis influenced consumers’ perceptions and determines factors contributing to consumers’ behavioural intention to use cashless payment. The research framework for this study is based on the unified theory of acceptance and use of technology (UTAUT). The study collected a total of 463 responses from the online survey. The data of this study were analysed using partial least square modelling techniques. This study demonstrates that the crisis significantly and positively influences consumers’ perceptions of performance expectancy, effort expectancy, social influence, and facilitating conditions. All of these factors explain consumers’ behavioural intention to use cashless payment, except facilitating conditions. The findings acknowledge the impact of the health crisis on consumer perceptions and influence their behavioural intentions to use cashless payment.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An empirical study to explore the influence of the COVID-19 crisis on consumers' behaviour towards cashless payment in Malaysia

Kosim

2022

J Financ Serv Mark

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“…Purposive sampling was adopted in selecting experts, as experts need expertise in green innovation and the textile industry. As suggested by Gupta and Dhingra (2021), criteria weights were derived from a consensus-based group discussion to minimize the subjectivity of experts. The model will be described in the phases below:…”

Section: Case Studymentioning

confidence: 99%

Measuring Sustainability Performance Indicators Using FUCOM-MARCOS Methods

Badi¹,

Muhammad²,

Abubakar³

et al. 2022

Oper. Res. Eng. Sci. Theor. Appl.

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Due to rising environmental concerns, green innovation has become a familiar and appealing topic worldwide in recent years. In addition, population growth, globalization, urbanization, and industrialization have given rise to many problems, such as damage to the environment, the economy, and the living conditions of society. This paper aims to evaluate and prioritize aspects of green innovation, taking into account sustainability performance indicators. FUCOM-MARCOS hybrid methods were used. The experimental results of the proposed method showed that management technological innovation (C1) is the most influential part for adopting green practices in the textile industry in Nigeria. The study also showed that greening the supplier (C6) and product technology innovation (C5) are the second and third most important aspects of green innovation. Furthermore, it analyzed the sustainability performance indicators using the MARCOS method. The findings reveal that social performance (SPI-3) was the most sustainable and vital indicator in terms of green innovation practices in the textile sector in Nigeria. Sensitivity analysis was also conducted using five other methods, and the results obtained showed stability in the order of the indicators.

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“…The researcher assessed the matrix's variables and attempted to establish any interdependencies amongst them based according to their own perspective and the ISM ruling's boundaries. The linkages in this matrix are the result of one variable influencing another or vice versa, while some elements may have equal impact and others may have none (Gupta & Dhingra, 2022;Rana et al, 2019Rana et al, , 2022Rafiq et al, 2021;Tamtam & Tourabi, 2021;Singh et al, 2018;Maheshwari et al, 2018). The interactions between the variables are represented by the symbols 'i' & 'j' in the rows and columns, respectively.…”

Section: Structural Self-interaction Matrix (Ssim)mentioning

confidence: 99%

Identifying Consumer Resistance of Mobile Payment During Covid-19: An Interpretive Structural Modeling (Ism) Approach

Singh

Singh²

2022

Business, Management and Economics Engineering

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Purpose – Due to country-wise lockdown and state-wise curfews in COVID-19, people were not able to make offline payments (i.e. cash payments) during purchases in India. So, people are switching their payment behavior from offline to online mode. But, as per the central bank report, the rate of adoption through mobile payments is still slow. The paper focuses on identifying critical barriers to mobile payment systems (MPSs) adoption in India. Innovation resistance theory (IRT) has been used as a base model for barriers, despite the wide range of choices of barriers available in the MPSs context. Additionally, three external variables which are out of the wider coverage of IRT constructs were incorporated in this paper. The study, on the other hand, adds to innovation resistance theory in the frame of reference of MPSs from a theoretical perspective. Interpretive structural modeling (ISM), together with MICMAC analysis is brought into play to analyse the direct and indirect relationship amongst the barriers. Research methodology – ISM approach has been used to establish the relationship among the eight (08) identified barriers, through literature and expert opinions. The key barriers to high driving power are then identified with the help of MICMAC analysis. Findings – The results reveal that value barrier (b2), image barrier (b5) and visibility barrier (b7) are the most significant variables. Interestingly, IRTs’ risk barrier (b3) and privacy barrier (b6) from the literature fall in the lowest level of the ISM model. The majority of the barriers fall under quadrant III of MICMAC analysis, indicating the high driving and dependence power. Research limitations – The developed ISM model is based on the sentiments of five (05) experts, which could be biased and influence the structural model’s final output. Due to COVID-19, data has been collected through online video conferencing mode, this may vary if data will be collected through an offline or face-to-face interview. The proposed model’s key findings aim to assist in explaining the barriers that exist during MPS adoption. Originality/Value – This study is the first attempt to use the ISM approach in conjunction with IRT to detect barriers within MPSs. The result of this paper will guide and motivate the researcher to analyse more critical barriers with IRT to contribute to the theoretical development.

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Modeling the key factors influencing the adoption of mobile financial services: an interpretive structural modeling approach

Cited by 21 publications

References 83 publications

An empirical study to explore the influence of the COVID-19 crisis on consumers' behaviour towards cashless payment in Malaysia

An empirical study to explore the influence of the COVID-19 crisis on consumers' behaviour towards cashless payment in Malaysia

Measuring Sustainability Performance Indicators Using FUCOM-MARCOS Methods

Identifying Consumer Resistance of Mobile Payment During Covid-19: An Interpretive Structural Modeling (Ism) Approach

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