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M. Stone (1976)
Cross‐Validatory Choice and Assessment of Statistical PredictionsJournal of the royal statistical society series b-methodological, 36
Siti Munerah, K. Koay, Seethaletchumy Thambiah (2021)
Factors influencing non-green consumers’ purchase intention: A partial least squares structural equation modelling (PLS-SEM) approachJournal of Cleaner Production
(2015)
Marker variable choice, reporting, and interpretation in the detection of common method variance: a review and demonstration
A. Alalwan, Yogesh Dwivedi, Nripendra Rana (2017)
Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trustInt. J. Inf. Manag., 37
J.F. Hair, G.T.M. Hult, C.M. Ringle, M. Sarstedt (2017)
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
N. Richter, Sandra Schubring, S. Hauff, C. Ringle, M. Sarstedt (2020)
When predictors of outcomes are necessary: guidelines for the combined use of PLS-SEM and NCAInd. Manag. Data Syst., 120
T. Pham, Jonathan Ho (2015)
The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile paymentsTechnology in Society, 43
Joseph Hair, C. Ringle, M. Sarstedt (2011)
PLS-SEM: Indeed a Silver BulletJournal of Marketing Theory and Practice, 19
Qingyu Zhang, Salman Khan, M. Cao, Safeer Khan (2023)
Factors Determining Consumer Acceptance of NFC Mobile Payment: An Extended Mobile Technology Acceptance ModelSustainability
Aik-Chuan Teo, G. Tan, K. Ooi, Teck-Soon Hew, King-Tak Yew (2015)
The effects of convenience and speed in m-paymentInd. Manag. Data Syst., 115
J. Henseler, C. Ringle, M. Sarstedt (2015)
A new criterion for assessing discriminant validity in variance-based structural equation modelingJournal of the Academy of Marketing Science, 43
Nidhi Singh, Neena Sinha, F. Liébana-Cabanillas (2020)
Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influenceInt. J. Inf. Manag., 50
Puneet Kaur, A. Dhir, Rahul Bodhi, Tripti Singh, Mohammad Almotairi (2020)
Why do people use and recommend m-wallets?Journal of Retailing and Consumer Services
Changsu Kim, Mirsobit Mirusmonov, In Lee (2010)
An empirical examination of factors influencing the intention to use mobile paymentComput. Hum. Behav., 26
B. Martinez, Laura McAndrews (2022)
Do you take...? The effect of mobile payment solutions on use intention: an application of UTAUT2Journal of Marketing Analytics
Pushp Patil, K. Tamilmani, Nripendra Rana, Vishnupriya Raghavan (2020)
Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressalInt. J. Inf. Manag., 54
Ting Wang, Lih-Bin Oh, Kanliang Wang, Yufei Yuan (2013)
User adoption and purchasing intention after free trial: an empirical study of mobile newspapersInformation Systems and e-Business Management, 11
Yongqing Yang, Yong Liu, Hongxiu Li, Benhai Yu (2015)
Understanding perceived risks in mobile payment acceptanceInd. Manag. Data Syst., 115
Kristopher Preacher, A. Hayes (2004)
SPSS and SAS procedures for estimating indirect effects in simple mediation modelsBehavior Research Methods, Instruments, & Computers, 36
F. Liébana-Cabanillas, Nidhi Singh, Zoran Kalinić, E. Carvajal-Trujillo (2021)
Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approachInformation Technology and Management, 22
Iviane Luna, F. Liébana-Cabanillas, J. Sánchez-Fernández, Francisco Muñoz-Leiva (2019)
Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology appliedTechnological Forecasting and Social Change
L. Whiting (2008)
Semi-structured interviews: guidance for novice researchers.Nursing standard (Royal College of Nursing (Great Britain) : 1987), 22 23
Wen-Way Yu, Chin-Yi Fang (2023)
The Role of Near-Field Communication Mobile Payments in Sustainable Restaurant Operations: A Restaurateur’s PerspectiveSustainability
N. Jain, K. Kaushik, Anita Sharma (2022)
What drives customers towards Proximity Payment Services? An Integrated Theory of Planned Behaviour PerspectiveInternational Journal of Consumer Studies
Fred Davis, R. Bagozzi, P. Warshaw (1989)
User Acceptance of Computer Technology: A Comparison of Two Theoretical ModelsManagement Science, 35
Seungjae Shin, Wonjun Lee (2021)
Factors affecting user acceptance for NFC mobile wallets in the U.S. and KoreaInnovation & Management Review
C. Malarvizhi, Abdullah Mamun, S. Jayashree, Farzana Naznen, T. Abir (2022)
Predicting the Intention and Adoption of Near Field Communication Mobile PaymentFrontiers in Psychology, 13
V. Dutot (2015)
Factors influencing Near Field Communication (NFC) adoption: An extended TAM approachThe Journal of High Technology Management Research, 26
E.M. Rogers, E.M. Rogers (1983)
Diffusion of Innovations
Ganesh Dash, J. Paul (2021)
CB-SEM vs PLS-SEM methods for research in social sciences and technology forecastingTechnological Forecasting and Social Change, 173
Ismail Gaabouri, M. Senhadji, Mostafa Belkasmi, Brahim Bhiri (2023)
A Systematic Literature Review on Authentication and Threat Challenges on RFID Based NFC ApplicationsFuture Internet, 15
Fred Davis (1989)
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information TechnologyMIS Q., 13
Mahmaod Alrawad, Abdalwali Lutfi, Mohammed Almaiah, I. Elshaer (2023)
Examining the influence of trust and perceived risk on customers intention to use NFC mobile payment systemJournal of Open Innovation: Technology, Market, and Complexity
Qile He, Y. Duan, Ruowei Wang, Zetian Fu (2019)
Factors affecting consumers’ purchase intention of eco‐friendly food in China: The evidence from respondents in BeijingInternational Journal of Consumer Studies
Ajao, E. Abu-Shanab (2015)
Drivers of mobile payment acceptance: The impact of network externalitiesInformation Systems Frontiers, 18
Iviane Luna, F. Montoro-Ríos, F. Liébana-Cabanillas, João Luna (2017)
NFC technology acceptance for mobile payments: A Brazilian PerspectiveRevista Brasileira de Gestão De Negócios, 19
A. Mishra, Rohit Bansal, P. Maurya, S. Kar, Palvinder Bakshi (2022)
Predicting the Antecedents of Consumers’ Intention towards Purchase of Mutual Funds: A Hybrid PLS‐SEM‐Neural Network ApproachInternational Journal of Consumer Studies
Giacomo Migliore, Ralf Wagner, F. Cechella, F. Liébana-Cabanillas (2022)
Antecedents to the Adoption of Mobile Payment in China and Italy: an Integration of UTAUT2 and Innovation Resistance TheoryInformation Systems Frontiers, 24
(2006)
Detailed review of Roger's Diffusion of innovations theory and educational technology
(2023)
FACTORS DRIVING NFC-BASED MOBILE PAYMENT ADOPTION: THE CASE OF PERUIssues In Information Systems
Zoran Kalinić, F. Liébana-Cabanillas, Francisco Muñoz-Leiva, Veljko Marinković (2019)
The moderating impact of gender on the acceptance of peer-to-peer mobile payment systemsInternational Journal of Bank Marketing
N. Kock, G. Lynn (2012)
Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and RecommendationsEconometrics: Multiple Equation Models eJournal
H. Tew, G.W. Tan, X. Loh, V. Lee, W. Lim, K. Ooi, G.W. Tan (2021)
Tapping the next purchase : embracing the wave of mobile payment tapping the next purchase: embracing the wave of mobile paymentJournal of Computer Information Systems
R. Al-Amri, N. Maarop, R. Jamaludin, Ganthan Samy, Pritheega Magalingam, N. Hassan, Doris Ten, S. Daud (2018)
CORRELATION ANALYSIS BETWEEN FACTORS INFLUENCING THE USAGE INTENTION OF NFC MOBILE WALLET PAYMENTJournal of Fundamental and Applied Sciences, 10
Iviane Luna, F. Montoro-Ríos, F. Liébana-Cabanillas (2015)
Determinants of the intention to use NFC technology as a payment system: an acceptance model approachInformation Systems and e-Business Management, 14
G. Shmueli, Soumya Ray, Juan Estrada, S. Chatla (2016)
The elephant in the room: Predictive performance of PLS modelsJournal of Business Research, 69
Emma Slade, Y. Dwivedi, Niall Piercy, Michael Williams (2015)
Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and TrustPsychology & Marketing, 32
Nidhi Walia, S. Kaur (2021)
Adoption of NFC-mobile payments by Generation Y consumers in Punjab: Empirical Evidence from UTAUTInternational Journal of Business Innovation and Research
Patrick Fennell, Simbarashe Pasirayi, Aaron Johnson, D. Rice (2022)
The effects of transaction methods on perceived contamination and attitude toward retailersJournal of Marketing Theory and Practice, 30
Lai-Ying Leong, Teck-Soon Hew, G. Tan, K. Ooi (2013)
Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approachExpert Syst. Appl., 40
K. Petrova, Bo Wang (2013)
Retailer Adoption of Mobile Payment: A Qualitative StudyJ. Electron. Commer. Organ., 11
I. Ajzen (1991)
The theory of planned behaviorOrganizational Behavior and Human Decision Processes, 50
F. Liébana-Cabanillas, Iviane Luna, F. Montoro-Ríos (2017)
Intention to use new mobile payment systems: a comparative analysis of SMS and NFC paymentsEconomic Research-Ekonomska Istraživanja, 30
C. Morosan, A. DeFranco (2016)
It's about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotelsInternational Journal of Hospitality Management, 53
G. Tan, K. Ooi, S. Chong, Teck-Soon Hew (2014)
NFC mobile credit card: The next frontier of mobile payment?Telematics Informatics, 31
A. Kar (2020)
What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”Information Systems Frontiers, 23
Diananda Pitari, G. Gayatri, Asnan Furinto, Sofjan Assauri (2020)
Integration Of Intention And Resistance In Adopting Near Field Communication-Based Mobile Payment InnovationInternational Journal of Scientific & Technology Research, 9
Wei-Lun Chang, Li-Ming Chen, T. Hashimoto (2021)
Cashless Japan: Unlocking Influential Risk on Mobile Payment ServiceInformation Systems Frontiers, 24
N. Malhotra, Sung Kim, Ashutosh Patil (2006)
Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past ResearchManag. Sci., 52
R. Nath, K. Bhal, Geetika Kapoor (2013)
Factors influencing IT Adoption by Bank Employees: An Extended TAM ApproachVikalpa: The Journal for Decision Makers, 38
Kanishka Gupta, N. Arora (2023)
Investigating consumer acceptance of NFC mobile payment apps in India: a UTAUT2 approachInternational Journal of Business Innovation and Research
Nitin Upadhyay, Shalini Upadhyay, Salma Abed, Yogesh Dwivedi (2022)
Consumer adoption of mobile payment services during COVID-19: extending meta-UTAUT with perceived severity and self-efficacyInternational Journal of Bank Marketing
Hui-Ting Tew, G. Tan, Xiu-Ming Loh, Voon‐Hsien Lee, Wei-Lee Lim, K. Ooi (2021)
Tapping the Next Purchase: Embracing the Wave of Mobile PaymentJournal of Computer Information Systems, 62
F. Liébana-Cabanillas, Veljko Marinković, Iviane Luna, Zoran Kalinić (2017)
Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approachTechnological Forecasting and Social Change, 129
C. Flavián, Miguel Guinaliu, Yu-Yu Lu (2020)
Mobile payments adoption – introducing mindfulness to better understand consumer behaviorInternational Journal of Bank Marketing, 38
Mohammed Almaiah, A. Al-Rahmi, Fahad Alturise, Lamia Hassan, Abdalwali Lutfi, Mahmaod Alrawad, Salem Alkhalaf, W. Al-rahmi, Saleh Al-sharaieh, Theyazn Aldhyani (2022)
Investigating the Effect of Perceived Security, Perceived Trust, and Information Quality on Mobile Payment Usage through Near-Field Communication (NFC) in Saudi ArabiaElectronics
T. Ramayah, C.J. Hwa, F. Chuah, H. Ting (2017)
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using SmartPLS 3.0: an Updated Guide and Practical Guide to Statistical Analysis
K. Koay, Chee Cheah, Yi Chang (2022)
A model of online food delivery service quality, customer satisfaction and customer loyalty: a combination of PLS-SEM and NCA approachesBritish Food Journal
M. Saunders, A. Bristow, A. Thornhill, P. Lewis (2015)
Understanding research philosophy and approaches to theory development
Lei-da Chen, R. Nath (2008)
Determinants of Mobile Payments: An Empirical AnalysisJournal of International Technology and Information Management
Sargam Walia, H. Kumar, N. Negi (2020)
Impact of brand consciousness, perceived quality of products, price sensitivity and product availability on purchase intention towards ‘green’ productsInternational Journal of Technology Management and Sustainable Development, 19
V. Venkatesh, Michael Morris, G. Davis, Fred Davis (2003)
User Acceptance of Information Technology: Toward a Unified ViewInstitutions & Transition Economics: Microeconomic Issues eJournal
Madugoda Senali, H. Cripps, Stephanie Meek, M. Ryan (2021)
A comparison of Australians, Chinese and Sri Lankans' payment preference at point-of-saleMarketing Intelligence & Planning
P. Podsakoff, Scott MacKenzie, Jeong-Yeon Lee, Nathan Podsakoff (2003)
Common method biases in behavioral research: a critical review of the literature and recommended remedies.The Journal of applied psychology, 88 5
Shiksha Kushwah, A. Dhir, M. Sagar (2019)
Understanding consumer resistance to the consumption of organic food. A study of ethical consumption, purchasing, and choice behaviourFood Quality and Preference
Vess Johnson, Angelina Kiser, Ronald Washington, Russell Torres (2018)
Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment servicesComput. Hum. Behav., 79
Heikki Karjaluoto, A. Shaikh, Hannu Saarijärvi, Saila Saraniemi (2019)
How perceived value drives the use of mobile financial services appsInt. J. Inf. Manag., 47
K. Nor, Nicoleta Barbula-Misu, R. Stroe (2011)
A model for analysing the determinant factors of adoption e-banking services by Romanian customersEconomic Computation and Economic Cybernetics Studies and Research, 4
Donghee Shin (2009)
Towards an understanding of the consumer acceptance of mobile walletComput. Hum. Behav., 25
Gwarlann Kerviler, Nathalie Demoulin, Pietro Zidda (2016)
Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers?Journal of Retailing and Consumer Services, 31
Scott Schuh, J. Stavins (2015)
How Do Speed and Security Influence Consumers' Payment Behavior?ERN: Other Political Economy: Taxation
Lin Jia, Xiuwei Song, D. Hall (2020)
Influence of Habits on Mobile Payment Acceptance: An Ecosystem PerspectiveInformation Systems Frontiers, 24
Vaggelis Saprikis, M. Vlachopoulou, Angelos Markos (2021)
Modelling consumers' payment behaviour towards contactless cardsInt. J. Bus. Inf. Syst., 38
T. Dahlberg, Jie Guo, Jan Ondrus (2015)
A critical review of mobile payment researchElectron. Commer. Res. Appl., 14
Petrus Guriting, N. Ndubisi (2006)
Borneo online banking: evaluating customer perceptions and behavioural intentionManagement Research News, 29
S. Geisser (1974)
A predictive approach to the random effect modelBiometrika, 61
Toyyeba Longyara, H. Van (2015)
Diffusion of Innovation in Asian : A Study of Mobile NFC ( Near Field Communication ) Payment in Korea and Thailand
Fauzan Aris, Kamisah Ismail, S. Mohezar (2022)
Fostering Mobile Payment Adoption: A Case of Near Field Communication (NFC)International Journal of Business and Society
Raja Sankaran, Shibashish Chakraborty (2020)
Why customers make mobile payments? Applying a means-end chain approachMarketing Intelligence & Planning
D. Nguyen, Sander Leeuw, W. Dullaert, B. Foubert (2019)
What Is the Right Delivery Option for You? Consumer Preferences for Delivery Attributes in Online RetailingJournal of Business Logistics
Qianwen Yang, Xiang Gong, Kem Zhang, Hefu Liu, Matthew Lee (2020)
Self-disclosure in mobile payment applications: Common and differential effects of personal and proxy control enhancing mechanismsInt. J. Inf. Manag., 52
K. Ooi, G. Tan (2016)
Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit cardExpert Syst. Appl., 59
(2021)
Covid-19 Accelerated the Digitalisation of Payments
Lingling Gao, Kerem Waechter (2015)
Examining the role of initial trust in user adoption of mobile payment services: an empirical investigationInformation Systems Frontiers, 19
(2020)
Research Handbook on Central Banking
M.N. Saunders, P. Lewis, A. Thornhill, A. Bristow, M.N.K. Saunders, P. Lewis, A. Thornhill (2019)
Chapter 4: understanding research philosophy and approaches to theory developmentBusiness Students
Galit Shmueli, M. Sarstedt, Joseph Hair, J. Cheah, H. Ting, Santha Vaithilingam, C. Ringle (2019)
Predictive model assessment in PLS-SEM: guidelines for using PLSpredictEuropean Journal of Marketing
S. Verkijika (2020)
An affective response model for understanding the acceptance of mobile payment systemsElectron. Commer. Res. Appl., 39
S. Hinga, A. Imoize, T. Ajani, Atayero (2024)
A Bird's Eye View of Near Field Communication Technology: Applications, Global Adoption, and Impact in AfricaSN Comput. Sci., 5
Yi-Hsuan Lee, Yi-Chuan Hsieh, Chia-Ning Hsu (2011)
Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees' Intentions to use E-Learning SystemsJ. Educ. Technol. Soc., 14
Somang Min, Kevin So, Miyoung Jeong (2018)
Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance modelJournal of Travel & Tourism Marketing, 36
Beata Swiecka, S. Grima (2019)
Factors Affecting the Consumers’ Choice of Payment Instrument in PolandEUROPEAN RESEARCH STUDIES JOURNAL
A. Giovanis, E. Tsoukatos, D. Vrontis (2020)
Customers' intentions to adopt proximity m-payment services: empirical evidence from GreeceGlobal Business and Economics Review
X. Pu, F.T.S. Chan, A.Y.L. Chong, B. Niu (2020)
The adoption of NFC-based mobile payment services: an empirical analysis of Apple Pay in ChinaInternational Journal of Mobile Communications, 18
G. Tan, K. Ooi, Lai-Ying Leong, Binshan Lin (2014)
Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approachComput. Hum. Behav., 36
Abhipsa Pal, R. De', Tejaswini Herath (2020)
The Role of Mobile Payment Technology in Sustainable and Human-Centric Development: Evidence from the Post-Demonetization Period in IndiaInformation Systems Frontiers, 22
(2022)
THE GROWTH TRAJECTORY OF UPI-BASED MOBILE PAYMENTS IN INDIA: ENABLERS AND INHIBITORSIndian Journal of Finance and Banking
(2020)
Table: contactless payment transaction limit increases around the world
(2022)
Total number of digital payments across India from financial year 2018 to 2021(in billions)
Xiaodie Pu, F. Chan, A. Chong, B. Niu (2020)
The adoption of NFC-based mobile payment services: an empirical analysis of Apple Pay in ChinaInt. J. Mob. Commun., 18
D. Wahyuni (2012)
The research design maze: understanding paradigms, cases, methods and metho...: discovery service for univ of South Carolina
N. Leavitt (2010)
Payment Applications Make E-Commerce MobileComputer, 43
Abhipsa Pal, Tejaswini Herath, R. De', H. Rao (2020)
Is the Convenience Worth the Risk? An Investigation of Mobile Payment UsageInformation Systems Frontiers, 23
Joseph Hair, Jeffrey Risher, M. Sarstedt, C. Ringle (2019)
When to use and how to report the results of PLS-SEMEuropean Business Review
Z. Liao, M. Cheung (2002)
Internet-based e-banking and consumer attitudes: an empirical studyInf. Manag., 39
S. Tripathi, Shalini Srivastava, Sushma Vishnani (2021)
Mobile wallets: achieving intention to recommend by brick and mortar retailersJournal of Marketing Theory and Practice, 30
(1992)
A power primer
The increasing prevalence of mobile phones and the ease of cheaper Internet access have accelerated the growth of mobile-based payments in India. The study aims to identify must-have and should-have factors affecting consumers’ usage intention toward “Near-Field Communication (NFC)” based mobile payments.Design/methodology/approachThe research integrates diffusion innovation theory and the technology acceptance model. Employing a mixed-methods approach, combining partial least square structural equation modeling and Necessary Condition Analysis (NCA). Thus, the study draws from qualitative interviews and a quantitative survey of 218 respondents.FindingsThe study results indicate that the relative advantage of NFC-based mobile payments over conventional payment modes and security concerns directly affect the intention to use it. However, complexity, transaction speed and ease of use do not affect the intention to use. Moreover, perceived usefulness mediates the relationship between complexity, relative advantage and transaction speed with the intention to use NFC-based mobile payments. Less complexity and ease of use, despite being insignificant determinants as per PLS-SEM, must be focused on as the NCA results indicate its necessity for future market growth.Originality/valueThis research addresses a significant gap by focusing on Indian consumers' intention to use NFC-based mobile payments, an area largely unexplored despite the global and availability of such services. The study distinguishes itself by examining factors influencing adoption within the nascent stage of mobile-based NFC payments in India, where digital growth and technology uptake are gradually unfolding.
Journal of Advances in Management Research – Emerald Publishing
Published: Sep 25, 2024
Keywords: Digital transformation; Mobile payments; Near-field communication; NFC; NCA
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