Sustainability of the Smart phone applications usage in rural India –An empirical study

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Title Sustainability of the Smart phone applications usage in rural India –An empirical study
Creator Roy, Souvik
Joseph, Dennis
Subject Smart phone applications; Smart phone; Rural India
Description The Indian smart phone applications market is really flourishing with India ranked as number one in terms of the downloads made via Android and Google play store. However the smart phone application penetration is still low in rural India as compared to its urban part. This study is first of its kind which tries to explore two things, one the reasons, why rural Indian market is not growing in terms of smart phone application downloads/usage and second  some antecedents that can affect the behavioural intention of rural customers for increased smart phone application usage. For this study authors resorted to ethnographic in-depth interview during pre-test stage followed by collecting of responses through administrated questionnaires in the second part. Around 346 responses were collected from ten villages in Rangareddy district in Telangana state, in India. SEM was used as the statistical tool to run the hypothesis. In terms of smart phone application development, this study is unique one which tries to throw light immensely on how the marketers/developers can increase the sustainability of smart application usage among rural consumers which happens to be an untouched profitable segment till this point of time.
Publisher Conselho Nacional de Pesquisa e Pos-Graduacao em Direito - CONPEDI
Date 2021-01-26
Type info:eu-repo/semantics/article

Format application/pdf
Source International Journal of Professional Business Review; Vol 6, No 1 (2021): Continuous publication - JANUARY/DECEMBER (EARLY VIEW); e216
International Journal of Professional Business Review; Vol 6, No 1 (2021): Continuous publication - JANUARY/DECEMBER (EARLY VIEW); e216
Language eng
/*ref*/Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11-39). Springer, Berlin, Heidelberg.
/*ref*/Anam, C. (2014). The Impact of Social Influence, Compatibility and Price on Purchase Intention of Android Android Smartphone (Doctoral dissertation, Universitas Muhammadiyah Surakarta).
/*ref*/Palit, R., Arya, R., Naik, K., & Singh, A. (2011, May). Selection and execution of user level test cases for energy cost evaluation of smartphones. In Proceedings of the 6th International Workshop on Automation of Software Test (pp. 84-90). ACM.
/*ref*/Bandura, A. (1997). Editorial. American Journal of Health Promotion, 12(1), 8-10.
/*ref*/Bloch, P. H. (1995). Seeking the ideal form: Product design and consumer response. The Journal of Marketing, 16-29.
/*ref*/Chin, W.W., Marcolin, B.L., & Newsted, P.R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189-218.
/*ref*/Chong, A. Y. L. (2013). Predicting m-commerce adoption determinants: A neural network approach. Expert Systems with Applications, 40(2), 523-530.
/*ref*/Crilly, N., Moultrie, J., & Clarkson, P. J. (2004). Seeing things: consumer response to the visual domain in product design. Design studies, 25(6), 547-577.
/*ref*/Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
/*ref*/Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research.
/*ref*/Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 382-388.
/*ref*/Hair, J. F. (2010). Black, WC, Babin, BJ, & Anderson, RE (2010). Multivariate data analysis, 7.
/*ref*/Hanafizadeh, P., Behboudi, M., Koshksaray, A. A., & Tabar, M. J. S. (2014). Mobile-banking adoption by Iranian bank clients. Telematics and Informatics, 31(1), 62-78.
/*ref*/Hew, J. J., Lee, V. H., Ooi, K. B., & Wei, J. (2015). What catalyses mobile apps usage intention: an empirical analysis. Industrial Management & Data Systems, 115(7), 1269-1291.
/*ref*/Kesharwani, A., & Tiwari, R. (2011). Exploration of internet banking website quality in India: a webqual approach. Great Lakes Herald, 5(1), 40-58.
/*ref*/Kotler, P., & Armstrong, G. (2010). Principles of marketing. Pearson education.
/*ref*/Leong, L. Y., Ooi, K. B., Chong, A. Y. L., & Lin, B. (2013). Modeling the stimulators of the behavioral intention to use mobile entertainment: does gender really matter?. Computers in Human Behavior, 29(5), 2109-2121.
/*ref*/Luo, X., H. Li, J. Zhang and J. P. Shim (2010). "Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services", Decision Support Systems, Vol. 49, No 2: 222-234
/*ref*/Mohd. Azam., Talib, A. Z., Sanusi, Z. A., Shiang-Yen, T., & Alwi, A. S. (2012). A Study of the Trend of Smartphone and its Usage Behavior in Malaysia. International Journal of New Computer Architectures and their Applications, 2(1), 275-287.
/*ref*/Maurits, N. (2011). From neurology to methodology and back: an introduction to clinical neuroengineering. Springer Science & Business Media.
/*ref*/Narasimhan, L. (2011). Can India lead the mobile-Internet revolution? McKinsey Quarterly, 5.
/*ref*/Narasimhan, Laxman. (2011). Can India lead the mobile-Internet revolution? McKinsey Quarterly, McKinsey & Company.
/*ref*/Nunnally, J.C., & Bernstein, I.H. (1994). Psychometric theory. New York, NY: McGraw-Hill.
/*ref*/Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., Pahnila, S., 2004, “Consumer acceptance of online banking: an extension of the technology acceptance model”, Internet Research, Vol. 14, No. 3, pp. 224-235.
/*ref*/Pynoo, B., Devolder, P., Tondeur, J., van Braak, J., Duyck, W., & Duyck, P. (2011). Predicting secondary school teachers' acceptance and use of a digital learning environment: a crosssectional study. Computers in Human Behavior, 27(1), 568-575.
/*ref*/Rashotte, L. (2007). Social influence. The Blackwell encyclopedia of sociology.
/*ref*/Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: The Free Press
/*ref*/Rogers, E. M. 1962. Diffusion of Innovations. New York: Free Press
/*ref*/Sulistyari, I. N., & YOESTINI, Y. (2012). Analisis pengaruh citra merek, kualitas produk, dan harga terhadap minat beli produk oriflame (studi kasus mahasiswi Fakultas Ekonomika dan Bisnis Jurusan Manajemen Universitas Diponegoro Semarang) (Doctoral dissertation, Fakultas Ekonomika dan Bisnis).
/*ref*/Swani, K., & Yoo, B. (2010). Interactions between price and price deal. Journal of Product & Brand Management, 19(2), 143-152.
/*ref*/Tariq, M. I., Nawaz, M. R., Nawaz, M. M., & Butt, H. A. (2013). Customer perceptions about branding and purchase intention: a study of FMCG in an emerging market. Journal of Basic and Applied Scientific Research, 3(2), 340-347.
/*ref*/Teo, T. T., Lee, C. B., & Chai, C. S. (2008). Understanding pre-service teachers' computer attitudes: applying and extending the technology acceptance model. Journal Of Computer Assisted Learning, 24(2), 128-143
/*ref*/Varnali, K., & Toker, A. (2010). Mobile marketing research: The-state-of-the-art. International journal of information management, 30(2), 144-151.
/*ref*/Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
/*ref*/Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
/*ref*/, “Mobile app market to grow 270% to $189 billion by 2020, with games accounting for 55%”, by Dean Takahashi, November 2016.
/*ref*/Wei, T.W., Marthandan, G., Chong, A.Y.L., Ooi, K.B. and Arumugam, S. (2009), “What drives Malaysian mcommerce adoption?An empirical analysis.Industrial Management & Data Systems, Vol. 109 No. 3, pp. 370-388.
/*ref*/www., “India’s rural internet users love Facebook, Whatsapp and free music downloads”, By Suneera Tandon, August, 2016
/*ref*/, “Smartphone Users in India”, 2018, By Itu Rathore.
/*ref*/, “India becomes world’s fastest-growing market for apps “by J.Vignesh, April, 2018.
/*ref*/, “Mobile Time Spent 2018Will Smartphones Remain Ascendant? Yoram Wurmser, June 18, 2018.
/*ref*/, “Mobile subscriptions Q1 2018”, Ericsson Mobility Report, June 2018.
/*ref*/, “'Mobile internet witnesses faster users growth in rural India”, May 2013.
/*ref*/, “Only 9% of rural India has access to mobile internet: Report”, Kim Arora, February 2016.
/*ref*/, “Mobile internet report, 2018.
/*ref*/, “Let’s make rural India smart, one app at a time, 2017.
/*ref*/, “Three Ways Digital Marketing Can Up the Indian Rural Banking Game”, By Arijit Banerjee, February 2018.
/*ref*/, Number of mobile phone users in India from 2013 to 2019 (in millions), 2018.
/*ref*/, “Mobile internet users in India seen at 478 million by June’, 2018.
/*ref*/, “Mobile internet users in India to reach 478 million by June 2018: IAMAI report.
/*ref*/, “Global Mobile Consumer Survey: US edition/ The dawn of the next era in mobile”, 2017.
/*ref*/Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of marketing, 2-22.
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