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Can mobile wallet usage contribute towards environmental sustainability? Evidence from a moderated mediation approach

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Abstract

This research empirically examines the antecedent factors influencing the relationship between mobile wallet use and environmental sustainability. The study adopted the UTAUT2 model with constructs of effort expectancy, performance expectancy, price value, mobile wallet usage, perceived security, and environmental sustainability. The research model was tested using a questionnaire-based response from 535 Indian Northeast tribal customers through a cross-sectional approach and examined the moderated mediation effect among the latent constructs. Partial least squares structural equation modelling was used to analyse the hypotheses and explain the variance, effect size, predictive relevance, and IPMA matrix. The results of this paper indicate that antecedent factors statistically and positively impact mobile wallet usage, contributing towards environmental sustainability. The outcome of this study encourages customers to adopt digital financial technology to promote environmental protection and reduce all forms of pollution. The findings help policymakers and mobile wallet service providers prioritise marketing attributes to enhance mobile wallet adoption. Moreover, managers should design tactics to augment confidence among older clients.

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Notes

  1. https://sdgs.un.org/ [91].

References

  1. Shobande, O.A., Ogbeifun, L.: Has information and communication technology improved environmental quality in the OECD?—a dynamic panel analysis. Int. J. Sustain. Dev. World Ecol. 29(1), 39–49 (2022). https://doi.org/10.1080/13504509.2021.1909172

    Article  Google Scholar 

  2. Gomber, P., Koch, J.A., Siering, M.: Digital finance and finTech: current research and future research directions. J. Bus. Econ. 87(5), 537–580 (2017). https://doi.org/10.1007/s11573-017-0852-x

    Article  Google Scholar 

  3. E. Semerikova, “What hinders the usage of smartphone payments in Russia? Perception of technological and security barriers,” Technol. Forecast. Soc. Change, vol. 161, no. September, p. 120312, 2020. https://doi.org/10.1016/j.techfore.2020.120312.

  4. Cheng, C.-Y., Chien, M.-S., Lee, C.-C.: ICT diffusion, financial development, and economic growth: an international cross-country analysis. Econ. Model. 94, 662–671 (2021). https://doi.org/10.1016/j.econmod.2020.02.008

    Article  Google Scholar 

  5. Shankar, A., Behl, A.: “How to enhance consumer experience over mobile wallet: A data-driven approach. J. Strateg. Mark., pp. 1–18 (2021). https://doi.org/10.1080/0965254X.2021.1999306.

  6. Churchill, S. A., Nuhu, A. S., Smyth, R.: Financial inclusion and poverty: Micro-level evidence from Nigeria. In: Churchill, S.A. (Ed) Moving from the Millennium to the Sustainable Development Goals. Palgrave Macmillan, London pp. 11–36 (2020).

  7. Oláh, J., Aburumman, N., Popp, J., Khan, M.A., Haddad, H., Kitukutha, N.: Impact of industry 4.0 on environmental sustainability. Sustainability 12(11), 1–21 (2020). https://doi.org/10.3390/su12114674

    Article  Google Scholar 

  8. The Hidden environmental toll of smartphones, OpenMind, Feb. 24. https://www.bbvaopenmind.com/en/science/environment/the-hidden-environmental-toll-of-smartphones/ (2020). Accessed May 11, 2023.

  9. GPFI.: Digital financial inclusion and the implications for customers, regulators, supervisors and standard-setting bodies. In: 2nd GPFI Conference on standard-setting bodies and financial inclusion: Standard setting in the changing landscape of digital financial inclusion, 2014, no. October, pp. 1–24 (2014).

  10. Zou, F., Li, T., Zhou, F.: Does the level of financial cognition affect the income of rural households? Based on the moderating effect of the digital financial inclusion index. Agronomy 11(9), 1–20 (2021). https://doi.org/10.3390/agronomy11091813

    Article  Google Scholar 

  11. Groen, R.G., Klapper, L., Miller, M., Woolnough, A.: Advancing women’s digital financial inclusion (2020).

  12. OECD.: Advancing the digital financial inclusion of youth. (2020).

  13. Ozili, P.K.: Digital finance, green finance and social finance: Is there a link? Financ. Internet Q. 17(1), 1–7 (2021). https://doi.org/10.2478/fiqf

    Article  Google Scholar 

  14. Han, Y., Li, Y., Wang, Q.: Digital finance, environmental regulation, and green development efficiency of China. Front. Environ. Sci., 11. https://doi.org/10.3389/fenvs.2023.1131058 (2023).

  15. Teichmann, F.M.J., Boticiu, S.R., Sergi, B.S.: Compliance concerns in sustainable finance: an analysis of peer-to-peer (P2P) lending platforms and sustainability. J. Financ. Crime (2023). https://doi.org/10.1108/JFC-11-2022-0281

    Article  Google Scholar 

  16. Zhang, Y., Zhou, X., Lin, X., Li, X., Xu, Y.: Research and Innovation of Green Digital Finance Model. In: DEStech Transactions on Social Science, Education and Human Science, pp. 443–447 (2018). https://doi.org/10.12783/dtssehs/ichae2018/25683.

  17. Ferreira, J. J. M., Fernandes, C. I.., Ferreira, F. A. F.: Technology transfer, climate change mitigation, and environmental patent impact on sustainability and economic growth: A comparison of European countries. Technol. Forecast. Soc. Change. 150(October 2019), 1–8 (2020). https://doi.org/10.1016/j.techfore.2019.119770.

  18. Silvestre, B.S., Ţîrcă, D.M.: Innovations for sustainable development: Moving toward a sustainable future. J. Clean. Prod. 208(January), 325–332 (2019). https://doi.org/10.1016/j.jclepro.2018.09.244

    Article  Google Scholar 

  19. Su, H.N., Moaniba, I.M.: Does innovation respond to climate change? Empirical evidence from patents and greenhouse gas emissions. Technol. Forecast. Soc. Change 122, 49–62 (2017). https://doi.org/10.1016/j.techfore.2017.04.017

    Article  Google Scholar 

  20. Chatterjee, A.: Financial inclusion, information and communication technology diffusion, and economic growth: A panel data analysis. Inf. Technol. Dev. 26(3), 607–635 (2020). https://doi.org/10.1080/02681102.2020.1734770

    Article  Google Scholar 

  21. Kazancoglu, Y., Sezer, M.D., Ozkan-Ozen, Y.D., Mangla, S.K., Kumar, A.: Industry 4.0 impacts on responsible environmental and societal management in the family business. Technol. Forecast. Soc. Change 173, 1–11 (2021). https://doi.org/10.1016/j.techfore.2021.121108

    Article  Google Scholar 

  22. Zhao, H., Yang, Y., Li, N., Liu, D., Li, H.: How does digital finance affect carbon emissions? Evidence from an emerging market. Sustainability 13(21), 1–20 (2021). https://doi.org/10.3390/su132112303

    Article  Google Scholar 

  23. Wang, K., Zhu, R., Cheng, Y.: Does the development of digital finance contribute to Haze. Energies 15(7), 1–21 (2022)

    Article  Google Scholar 

  24. Elheddad, M., Benjasak, C., Deljavan, R., Alharthi, M., Almabrok, J.M.: The effect of the fourth industrial revolution on the environment: The relationship between electronic finance and pollution in OECD countries. Technol. Forecast. Soc. Change 163(April), 1–10 (2021). https://doi.org/10.1016/j.techfore.2020.120485

    Article  Google Scholar 

  25. Vig, S.: Sustainable development through sustainable entrepreneurship and innovation: A single-case approach. Soc. Responsib. J. (2022). https://doi.org/10.1108/SRJ-02-2022-0093

    Article  Google Scholar 

  26. Patel, B., Gundaliya, R., Desai, B., Shah, M.: Groundwater arsenic contamination: Impacts on human health and agriculture, ex situ treatment techniques and alleviation. Environ. Geochem. Health (2022). https://doi.org/10.1007/s10653-022-01334-5

    Article  Google Scholar 

  27. Nagarmat, S.P., Shaukat, S.K.: Spatio-temporal analysis of air quality index and risk simulator for health infrastructure planning during COVID-19 pandemic. Int. J. Adv. Sci. 14(1&2), 1–10 (2022)

    Google Scholar 

  28. Shankar, A., Tiwari, A.K., Gupta, M.: Sustainable mobile banking application: A text mining approach to explore critical success factors. J. Enterp. Inf. Manag. 35(2), 414–428 (2022). https://doi.org/10.1108/JEIM-10-2020-0426

    Article  Google Scholar 

  29. DeLone, W.H., McLean, E.R.: The DeLone and McLean model of information systems success: A ten-year update. J. Manag. Inf. Syst. 19(4), 9–30 (2003). https://doi.org/10.1080/07421222.2003.11045748

    Article  Google Scholar 

  30. Moorthy, K., et al.: What drives the adoption of mobile payment? A Malaysian perspective. Int. J. Financ. Econ. 25(3), 349–364 (2020). https://doi.org/10.1002/ijfe.1756

    Article  Google Scholar 

  31. Venkatesh, V., Thong, J.Y.L., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 36(1), 157–178 (2012)

    Article  Google Scholar 

  32. Karjaluoto, H., Shaikh, A.A., Leppäniemi, M., Luomala, R.: Examining consumers’ usage intention of contactless payment systems. Int. J. Bank Mark. 38(2), 332–351 (2020). https://doi.org/10.1108/IJBM-04-2019-0155

    Article  Google Scholar 

  33. Schmitz, A., Díaz-Martín, A. M., Yagüe Guillén, M. J.: Modifying UTAUT2 for a cross-country comparison of telemedicine adoption. Comput. Human Behav., 130, 1–11 (2022). https://doi.org/10.1016/j.chb.2022.107183.

  34. Bommer, W. H., Rana, S., Milevoj, E.: A meta-analysis of eWallet adoption using the UTAUT model. Int. J. Bank Mark., pp. 1–29 (2022). https://doi.org/10.1108/IJBM-06-2021-0258.

  35. Al-Sabaawi, M. Y. M., Alshaher, A. A., Alsalem, M. A.: User trends of electronic payment systems adoption in developing countries: An empirical analysis. J. Sci. Technol. Policy Manag., pp. 1–25 (2021). https://doi.org/10.1108/JSTPM-11-2020-0162.

  36. Gansser, O.A., Reich, C.S.: A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application. Technol. Soc. 65, 1–15 (2021). https://doi.org/10.1016/j.techsoc.2021.101535

    Article  Google Scholar 

  37. Merhi, M., Hone, K., Tarhini, A., Ameen, N.: An empirical examination of the moderating role of age and gender in consumer mobile banking use: A cross-national, quantitative study. J. Enterp. Inf. Manag. 34(4), 1144–1168 (2021). https://doi.org/10.1108/JEIM-03-2020-0092

    Article  Google Scholar 

  38. Zhang, H., Lu, Y., Gupta, S., Gao, P.: Understanding group-buying websites continuance: An extension of expectation confirmation model. Internet Res. 25(5), 767–793 (2015). https://doi.org/10.1108/IntR-05-2014-0127

    Article  Google Scholar 

  39. Merhi, M., Hone, K., Tarhini, A.: A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust. Technol. Soc. 59, 1–12 (2019). https://doi.org/10.1016/j.techsoc.2019.101151

    Article  Google Scholar 

  40. Sankaran, R., Chakraborty, S.: Factors impacting mobile banking in India: Empirical approach extending UTAUT2 with perceived value and trust. IIM Kozhikode Soc. Manag. Rev. 11(1), 7–24 (2022). https://doi.org/10.1177/2277975220975219

    Article  Google Scholar 

  41. Pal, A., Herath, T., De’, R., Rao, H. R.: Contextual facilitators and barriers influencing the continued use of mobile payment services in a developing country: insights from adopters in India. Inf. Technol. Dev. 26(2), 394–420 (2020). https://doi.org/10.1080/02681102.2019.1701969.

  42. Yu, M., Tsai, F.S., Jin, H., Zhang, H.: Digital finance and renewable energy consumption: Evidence from China. Financ. Innov. 8(1), 1–19 (2022). https://doi.org/10.1186/s40854-022-00362-5

    Article  Google Scholar 

  43. Hao, F.: Acceptance of contactless technology in the hospitality industry: Extending the unified theory of acceptance and use of technology 2. Asia Pacific J. Tour. Res. 26(12), 1386–1401 (2021). https://doi.org/10.1080/10941665.2021.1984264

    Article  Google Scholar 

  44. Soodan, V., Rana, A.: Modeling customers’ intention to use e-wallet in a developing nation: Extending UTAUT2 with security, privacy and savings. J. Electron. Commer. Organ. 18(1), 89–114 (2020). https://doi.org/10.4018/JECO.2020010105

    Article  Google Scholar 

  45. Nguyen, M. T.: The Adoption of using mobile payment during COVID-19 pandemic: An empirical study in Vietnam. J. Asian Financ. Econ. Bus.8(11), 253–264 (2021). https://doi.org/10.13106/jafeb.2021.vol8.no11.0253.

  46. Daragmeh, A., Sági, J., Zéman, Z.: Continuous intention to use e-wallet in the context of the covid-19 pandemic: Integrating the health belief model (hbm) and technology continuous theory (tct). J. Open Innov. Technol. Mark. Complex. 7(2), 1–23 (2021). https://doi.org/10.3390/joitmc7020132

    Article  Google Scholar 

  47. Rahi, S., Abd. Ghani, M., Alnaser, F. M. I., Ngah, A. H. “Investigating the role of unified theory of acceptance and use of technology (UTAUT) in internet banking adoption context. Manag. Sci. Lett., 8(32), 173–186 (2018). https://doi.org/10.5267/j.msl.2018.1.001.

  48. Sinha, N., Singh, N.: Understanding technology readiness and user’s perceived satisfaction with mobile wallets services in India. Nmims Manag. Rev. 37(3), 10–33 (2019)

    Google Scholar 

  49. Singh, N., Sinha, N., Liébana-Cabanillas, F.J.: Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. Int. J. Inf. Manage. 50, 191–205 (2020). https://doi.org/10.1016/j.ijinfomgt.2019.05.022

    Article  Google Scholar 

  50. Abdul-Halim, N. A., Vafaei-Zadeh, A., Hanifah, H., Teoh, A. P., Nawaser, K.: Understanding the determinants of e-wallet continuance usage intention in Malaysia. Qual. Quant., pp. 1–27 (2021). https://doi.org/10.1007/s11135-021-01276-7.

  51. Cao, Q., Niu, X.: Integrating context-awareness and UTAUT to explain Alipay user adoption. Int. J. Ind. Ergon. 69, 9–13 (2019). https://doi.org/10.1016/j.ergon.2018.09.004

    Article  Google Scholar 

  52. Moon, J.W., Kim, Y.G.: Extending the TAM for a World-Wide-Web context. Inf. Manag. 38(4), 217–230 (2001). https://doi.org/10.1016/S0378-7206(00)00061-6

    Article  Google Scholar 

  53. Chawla, D., Joshi, H.: The moderating role of gender and age in the adoption of mobile wallet. Foresight 22(4), 483–504 (2020). https://doi.org/10.1108/FS-11-2019-0094

    Article  Google Scholar 

  54. Sobti, N.: Impact of demonetization on diffusion of mobile payment service in India: Antecedents of behavioral intention and adoption using extended UTAUT model. J. Adv. Manag. Res. 16(4), 472–497 (2019). https://doi.org/10.1108/JAMR-09-2018-0086

    Article  Google Scholar 

  55. Tripathi, S.N., Srivastava, S., Vishnani, S.: Mobile wallets: Achieving intention to recommend by brick and mortar retailers. J. Mark. Theory Pract. 30(1), 240–256 (2022). https://doi.org/10.1080/10696679.2021.1925920

    Article  Google Scholar 

  56. Sikri, A., Dalal, S., Singh, N., Le, D.-N.: Mapping of e-wallets with features. In: Le, D., Kumar, R., Mishra, B. K., Khari, M., Chatterjee, J. M. (Eds.) Cyber Security in Parallel and Distributed Computing. Wiley, New York, pp. 245–261 (2019).

  57. Chawla, D., Joshi, H.: Consumer attitude and intention to adopt mobile wallet in India—an empirical study. Int. J. Bank Mark. 37(7), 1590–1618 (2019). https://doi.org/10.1108/IJBM-09-2018-0256

    Article  Google Scholar 

  58. Rastogi, S., Panse, C., Sharma, A., Bhimavarapu, V. M.: Unified payment interface (UPI): A digital innovation and its impact on financial inclusion and economic development. Univers. J. Account. Financ. 9(3), 518–530 (2021). https://doi.org/10.13189/ujaf.2021.090326.

  59. Mombeuil, C.: An exploratory investigation of factors affecting and best predicting the renewed adoption of mobile wallets. J. Retail. Consum. Serv. 55, 1–9 (2020). https://doi.org/10.1016/j.jretconser.2020.102127

    Article  Google Scholar 

  60. Jaiswal, D., Kaushal, V., Mohan, A., Thaichon, P.: Mobile wallets adoption: pre- and post-adoption dynamics of mobile wallets usage. Mark. Intell. Plan. 40(5), 573–588 (2022). https://doi.org/10.1108/MIP-12-2021-0466

    Article  Google Scholar 

  61. Sharma, S.K., Sharma, M.: Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation. Int. J. Inf. Manage. 44, 65–75 (2019). https://doi.org/10.1016/j.ijinfomgt.2018.09.013

    Article  Google Scholar 

  62. Bagla, R.K., Sancheti, V.: Gaps in customer satisfaction with digital wallets: Challenge for sustainability. J. Manag. Dev. 37(6), 442–451 (2018). https://doi.org/10.1108/JMD-04-2017-0144

    Article  Google Scholar 

  63. Dantas, T.E.T., De-Souza, E.D., Destro, I.R., Hammes, G., Rodriguez, C.M.T., Soares, S.R.: How the combination of Circular Economy and Industry 4.0 can contribute towards achieving the Sustainable Development Goals. Sustain. Prod. Consum. 26, 213–227 (2021). https://doi.org/10.1016/j.spc.2020.10.005

    Article  Google Scholar 

  64. Lengyel, A., Kovács, S., Müller, A., Dávid, L., Szoke, S., Bába, É.B.: Sustainability and subjective well-being: How students weigh dimensions. Sustainability 11(23), 1–18 (2019). https://doi.org/10.3390/su11236627

    Article  Google Scholar 

  65. Dhahri, S., Slimani, S., Omri, A.: Behavioral entrepreneurship for achieving the sustainable development goals. Technol. Forecast. Soc. Change 165, 1–11 (2021). https://doi.org/10.1016/j.techfore.2020.120561

    Article  Google Scholar 

  66. Danso, A., Adomako, S., Amankwah-Amoah, J., Owusu-Agyei, S., Konadu, R.: Environmental sustainability orientation, competitive strategy and financial performance. Bus. Strateg. Environ. 28(5), 885–895 (2019). https://doi.org/10.1002/bse.2291

    Article  Google Scholar 

  67. Katini, K., Amalanathan, S.: Exploring relationships between financial literacy and environmental sustainability among the tribals through structural equation modelling. J. Posit. Sch. Psychol. 6(8), 5940–5959 (2022)

    Google Scholar 

  68. Singh, N., Srivastava, S., Sinha, N.: Consumer preference and satisfaction of M-wallets: A study on North Indian consumers. Int. J. Bank Mark. 35(6), 944–965 (2017). https://doi.org/10.1108/IJBM-06-2016-0086

    Article  Google Scholar 

  69. Shin, D.H.: Towards an understanding of the consumer acceptance of mobile wallet. Comput. Human Behav. 25(6), 1343–1354 (2009). https://doi.org/10.1016/j.chb.2009.06.001

    Article  Google Scholar 

  70. Demirgüç-Kunt, A., Klapper, L., Singer, D., Ansar, S., Hess, J.: The global findex database 2017: Measuring financial inclusion and opportunities to expand access to and use of financial services. World Bank Econ. Rev. 34(2018), S2–S8 (2020). https://doi.org/10.1093/wber/lhz013

    Article  Google Scholar 

  71. Beckers, S.F.M., Van Doorn, J., Verhoef, P.C.: Good, better, engaged? The effect of company-initiated customer engagement behavior on shareholder value. J. Acad. Mark. Sci. 46(3), 366–383 (2018). https://doi.org/10.1007/s11747-017-0539-4

    Article  Google Scholar 

  72. Hair, J.F., Risher, J.J., Sarstedt, M., Ringle, C.M.: When to use and how to report the results of PLS-SEM. Eur. Bus. Rev. 31(1), 2–24 (2019). https://doi.org/10.1108/EBR-11-2018-0203

    Article  Google Scholar 

  73. Foroughi, B., Iranmanesh, M., Hyun, S.S.: Understanding the determinants of mobile banking continuance usage intention. J. Enterp. Inf. Manag. 32(6), 1015–1033 (2019). https://doi.org/10.1108/JEIM-10-2018-0237

    Article  Google Scholar 

  74. Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43(1), 115–135 (2015). https://doi.org/10.1007/s11747-014-0403-8

    Article  Google Scholar 

  75. Cohen, J.: Statistical power analysis for the behavioral sciences, 2nd edn. Lawrence Erlbaum, New York (1988)

    MATH  Google Scholar 

  76. Ringle, C.M., Sarstedt, M.: Gain more insight from your PLS-SEM results the importance-performance map analysis. Ind. Manag. Data Syst. 116(9), 1865–1886 (2016). https://doi.org/10.1108/IMDS-10-2015-0449

    Article  Google Scholar 

  77. Merrill, R. K., Schillebeeckx, S. J., Blakstad, S.: Sustainable digital finance in Asia: Creating environmental impact through bank transformation. (2019).

  78. Namahoot, K. S., Jantasri, V.: Integration of UTAUT model in Thailand cashless payment system adoption: The mediating role of perceived risk and trust. J. Sci. Technol. Policy Manag., pp. 1–25 (2022). https://doi.org/10.1108/jstpm-07-2020-0102.

  79. Gupta, A., Yousaf, A., Mishra, A.: How pre-adoption expectancies shape post-adoption continuance intentions: An extended expectation-confirmation model. Int. J. Inf. Manage. 52, 1–13 (2020). https://doi.org/10.1016/j.ijinfomgt.2020.102094

    Article  Google Scholar 

  80. Baldi, L., Trentinaglia, M.T., Mancuso, T., Peri, M.: Attitude toward environmental protection and toward nature: How do they shape consumer behaviour for a sustainable tomato? Food Qual. Prefer. 90, 1–16 (2021). https://doi.org/10.1016/j.foodqual.2021.104175

    Article  Google Scholar 

  81. Kapesa, A., Ethnographic study of the Mao Naga tribe of Manipur, India. Int. J. Adv. Res. 5(3), 1119–1124 (2017). https://doi.org/10.21474/ijar01/3614.

  82. Yang, M., Al Mamun, A., Mohiuddin, M., Nawi, N. C., Zainol, N. R.: Cashless transactions: A study on intention and adoption of e-wallets. Sustainability. 13(2), 1–18 (2021). https://doi.org/10.3390/su13020831.

  83. Shahbaz, M., Nasir, M.A., Hille, E., Mahalik, M.K.: UK’s net-zero carbon emissions target: Investigating the potential role of economic growth, financial development, and R&D expenditures based on historical data (1870–2017). Technol. Forecast. Soc. Change 161, 1–15 (2020). https://doi.org/10.1016/j.techfore.2020.120255

    Article  Google Scholar 

  84. Riofrancos, T. et al.: Achieving zero emissions with more mobility less mining. Climate and Community Project. (2023). https://www.climateandcommunity.org/more-mobility-less-mining. Accessed May 11, 2023

  85. Li, G., Hou, Y., Wu, A.: Fourth industrial revolution: Technological drivers, impacts and coping methods. Chinese Geogr. Sci. 27(4), 626–637 (2017). https://doi.org/10.1007/s11769-017-0890-x

    Article  Google Scholar 

  86. Ozcan, B., Apergis, N.: The impact of internet use on air pollution: Evidence from emerging countries. Environ. Sci. Pollut. Res. 25(5), 4174–4189 (2018). https://doi.org/10.1007/s11356-017-0825-1

    Article  Google Scholar 

  87. Manickam, T., Vinayagamoorthi, G., Gopalakrishnan, S., Sudha, M., Mathiraj, S.P.: Customer inclination on mobile wallets with reference to Google-Pay and PayTM in Bengaluru City. Int. J. E-bus. Res. 18(1), 1–16 (2022). https://doi.org/10.4018/IJEBR.293295

    Article  Google Scholar 

  88. Lv, D., et al.: Differentiated emission control strategy based on comprehensive evaluation of multi-media pollution: Case of mercury emission control. J. Environ. Sci. 123, 222–234 (2023). https://doi.org/10.1016/j.jes.2022.03.028

    Article  Google Scholar 

  89. Oo, K.T., Jonah, K., Moh, M.O.H., Thin, Z.: A systematic review of the pros and cons of digital pollution and its impact on the environment. J. Sustain. Environ. mangaement 2(1), 61–73 (2023)

    Google Scholar 

  90. Agrawal, S. R.: Digital pollution and its impact on the family and social interactions. J. Fam. Issues. 42(11) (2021).https://doi.org/10.1177/0192513X20985558.

  91. United Nations, “Make the SDGs a reality. Department of Economic and Social Affairs Sustainable Development. https://sdgs.un.org/.

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Acknowledgements

The authors are grateful to the MANF for providing the PhD fellowship (SRF) to K. Katini of CHRIST (Deemed to be University) Bangalore and UGC (JRF) to Kaikho Hriizhiinio, University of Hyderabad.

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This paper is not funded by any resources funding (not applicable).

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KK was involved in conceptualisation, methodology, algorithm, writing the original draft and editing. SA was responsible for supervision. KH contributed to reviewing.

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See Table 9.

Table 9 Questionnaire items

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Katini, K., Amalanathan, S. & Hriizhiinio, K. Can mobile wallet usage contribute towards environmental sustainability? Evidence from a moderated mediation approach. Univ Access Inf Soc (2023). https://doi.org/10.1007/s10209-023-01027-5

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