Assessment of mobile technology use in the emerging market: Analyzing intention to use m-payment services in India

Liébana‐Cabanillas, Francisco; Japutra, Arnold; Molinillo, Sebastián; Singh, Nidhi; Sinha, Neena

doi:10.1016/j.telpol.2020.102009

Cited by 117 publications

(85 citation statements)

References 101 publications

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“…From previous research comparing various technology acceptance theories (de Abrahão et al 2016 ; Al-Saedi et al 2020 ; Hamrul et al 2013 ; Junadi 2015 ; Patil et al 2017 ), it can be accepted that the UTAUT method is the best method used in this case study, especially in COVID-19 pandemic situation where many people forced to use technology. Previous studies on digital payments in various countries such as Australia (Gao and Waechter 2017 ), Brazil (de Abrahão et al 2016 ), Nigeria (Gholami et al 2010 ), Germany (Hohenberg and Rufera 2004 ), India (Liébana-Cabanillas et al 2020 ; Patil et al 2017 ; Sahu and Singh 2018 ), China (Li and Zhang 2012 ; Zhou 2011 ), and Indonesia (Junadi 2015 ) discuss digital payment adoption and intention to use. Nevertheless, there are still limited studies on CI in digital payments.…”

Section: Introductionmentioning

confidence: 99%

Continuance intention of baby boomer and X generation as new users of digital payment during COVID-19 pandemic using UTAUT2

et al. 2021

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The emergence of social distancing and stay at home regulations during the COVID-19 pandemic directly affects people’s lifestyle, including baby boomers and X generation. Many of them have started using digital payments for online or offline transactions to minimize contact with others. This study aims to analyze the continuance intention of the baby boomers and X generation toward the use of digital payments using UTAUT2 (Unified Theory of Acceptance Technology). Data were collected from 320 users with an age range of 40–74 who had just started using digital payments during this pandemic. Structural equation modeling has been used to analyze the data. The result indicates that UTAUT indicators positively affect user satisfaction. User satisfaction positively affects inertia. Overall satisfaction and inertia positively affect continuance intention. Therefore, digital payment companies and banks with digital services can expand their target market beyond Millennials and pay more attention to the older generation like baby boomers and X generation. Managers can find the results of this study useful and beneficial to develop their marketing strategy and take advantage of this situation to increase digital payment users to a broader age range.

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Section: Introductionmentioning

confidence: 99%

Continuance intention of baby boomer and X generation as new users of digital payment during COVID-19 pandemic using UTAUT2

et al. 2021

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“…The decision to choose an m-banking application is frequently affected by system information, products, services, and customer-related factors. Several studies [52][53][54] [55,56]. The majority of studies have found that users frequently adopt technology if they perceive clear benefits regarding ease of use and usefulness [52].…”

Section: Factors To Determine the Adoption Of M-bankingmentioning

confidence: 99%

An integrated fuzzy model for evaluation and selection of mobile banking (m-banking) applications using new fuzzy-BWM and fuzzy-TOPSIS

Roy

Shaw

2021

Complex Intell. Syst.

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Mobile technology has revolutionised various business processes. Banking is one of them. Traditional banking operations are gradually changing with the introduction of efficient mobile technologies. Mobile banking (m-banking) has recently emerged as an innovative banking channel that provides continuous real-time customer service. It is expected that the market for m-banking will expand in the near future. There are currently various types of m-banking applications in the market. However, ranking and selecting efficient applications is difficult due to the involvement of multiple factors. As of now, very few studies have reported the m-banking application selection framework, left scope for further research. The current study proposes an m-banking application selection model based on a combined fuzzy best–worst method (fuzzy-BWM) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy-TOPSIS). The research was carried out in several stages, beginning with the identification of potential factors and progressing to pair-wise comparisons and the final ranking of the applications. The fuzzy set theory was applied to handle the ambiguity of the decision maker. In the first stage, fuzzy-BWM was used to determine the weight of the factors. Further, fuzzy-TOPSIS was applied to rank the m-banking applications. The present study has adopted a new fuzzy BWM, which differs significantly from the existing fuzzy-BWM, to solve the nonlinearity problem of optimisation. The applicability of the proposed model has been demonstrated through a real-life case study. The efficacy of the model has been further examined by performing a sensitivity analysis. The study observed application functionality, convenience, and performance expectancy as significant factors in selecting an m-banking application, followed by performance quality, security, and compatibility. The proposed model can assist financial institutions and customers to overcome the challenges of choosing an appropriate m-banking application. The proposed model can be used to benchmark the m-banking applications in the market.

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“…Smartwatches can be particularly useful to highly innovative users, although the technology is not deemed to be beneficial by low innovative users, and would not change their intent on using the technology. Many previous studies have shown that there is a strong, positive association between personal creativity and behavioral purpose [29,30,31,32]. Therefore, hypotheses were made based on the following explanations:…”

Section: ) Personalmentioning

confidence: 99%

Consumers’ Behavioral Intention Towards Smartwatch Adoption in Malaysia: A Concept Paper

et al. 2021

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The wide-ranging features of a smartwatch have driven the rapid growth of the smartwatch market as they pique the users’ interests by offering interactive technology that simultaneously promotes fitness and tracks health. Nevertheless, the factors influencing smartwatch adoption among individuals are yet to be comprehended despite the ever-growing popularity of smartwatch usage. Hence, to understand the possible factors in detail, a research model is proposed to indicate the influential underlying factors relative to smartwatch adoption in the Malaysian populace. This study will examine the four proposed dimensions of perceived benefits, healthology, IT innovation, and smartwatch as luxury products. Online questionnaires will be used to collect the research data, while SPSS will be used to run both preliminary research and descriptive analyses, PLS-SEM will be used to further analyze the model.

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Assessment of mobile technology use in the emerging market: Analyzing intention to use m-payment services in India

Cited by 117 publications

References 101 publications

Continuance intention of baby boomer and X generation as new users of digital payment during COVID-19 pandemic using UTAUT2

Continuance intention of baby boomer and X generation as new users of digital payment during COVID-19 pandemic using UTAUT2

An integrated fuzzy model for evaluation and selection of mobile banking (m-banking) applications using new fuzzy-BWM and fuzzy-TOPSIS

Consumers’ Behavioral Intention Towards Smartwatch Adoption in Malaysia: A Concept Paper

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