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How to cite this paper
APA: Jamalova, M & Constantinovits, M. (2020). Smart for development: Income level as the element of smartphone diffusion. Management Science Letters, 10(5), 1141-1150.
Chicago/Turabian: Jamalova, M & Constantinovits, M. 2020. "Smart for development: Income level as the element of smartphone diffusion." Management Science Letters 10, no. 5 (2020): 1141-1150.
AMA: Jamalova, M & Constantinovits, M. Smart for development: Income level as the element of smartphone diffusion. Management Science Letters. 2020;10(5):1141-1150.
References
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Aker, J. C., & Mbiti, I. M. (2010). Mobile phones and economic development in Africa. Journal of Economic Perspectives, 24(3), 207–232.
Ann, B. Y., Chen, C. M., & Liu, H. M. (2017). Product Attributes and Purchase Intention for Smartphones: A Moderated Mediation Model. International Journal of Mobile Communications, 16(1), 1.
Baah, B., & Naghavi, N. (2018). Beyond the basics: How smartphones will drive future opportunities for the mobile money industry. Retrieved from www.gsma.com/mobilemoney
Brian S. Everitt, D. C. H. (2005). Encyclopedia of Statistics in Behavioral Science. https://doi.org/10.1002/9781118445112.stat06304
Bálint, C., & Tóth, T. (2018). Comparison of Hungary and the EU-28 countries in terms of health situation with special regard to chronic morbidity14th Annual International Conference on Economics and Business, (January 2019).
Bringula, R. P., Moraga, S. D., Catacutan, A. E., Jamis, M. N., & Mangao, D. F. (2018). Factors influencing online purchase intention of smartphones: A hierarchical regression analysis. Cogent Business and Management, 5(1), 1–18.
Cleff, T., & Cleff, T. (2013). Univariate Data Analysis (7th editio). https://doi.org/10.1007/978-3-319-01517-0_3
Coelho, D. C., Meneses, R. F. C., & Moreira, M. R. A. (2013). Factors influencing purchase intention of private label products: The case of smartphones. International Conference on Exploring Services Science, 313–321.
Cunningham, J. B., & James O. Aldrich. (2016). Summary for Policymakers. In Climate Change 2013 - The Physical Science Basis (2nd editio, Vol. 2). https://doi.org/10.1017/CBO9781107415324.004
Dolcinar, S. (2003). Using Cluster Analysis for Market Segmentation - Typical Misconceptions, Established Methodological Weaknesses and Some Recommendations for Improvement. Australasian Journal of Market Research, 11(2), 5–12.
Donner, R., & Jonathan, L. (2009). Mobile Communication. In New Directions in Folklore. Polity Press.
Everitt, B. S., Landau, S., Leese, M., & Stahl, D. (2011). Cluster Analysis (5th editio). https://doi.org/10.1007/BF00154794
Field, A. (2013). Discovering statistics using IBM SPSS statistics (Fourth edi; M. Carmichael, Ed.). SAGE Publications Ltd.
George, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference. Routledge.
Gravetter, F. J., & Wallnau, L. B. (2014). Essentials of the statistics for the behavioral science. In Learning (8th ed.).
Groß, M. (2015). Exploring the acceptance of technology for mobile shopping: an empirical investigation among Smartphone users. International Review of Retail, Distribution and Consumer Research, 25(3), 215–235.
GSMA. (2017). Accelerating affordable smartphone ownership in emerging markets. Retrieved from https://www.gsma.com/
GSMA Intelligence. (2019). The Mobile Economy 2019. Retrieved from https://www.gsmaintelligence.com/research/?file=b9a6e6202ee1d5f787cfebb95d3639c5&download
Haskell, B. (2004). Portable Electronics Product Design and Development (p. 384). p. 384. McGraw-Hill Professional.
Hong, S. G., Trimi, S., & Kim, D. W. (2016). Smartphone use and internet literacy of senior citizens. Journal of Assistive Technologies, 10(1), 27–38. https://doi.org/10.1108/JAT-03-2015-0006
Hooi Ting, D., Fong Lim, S., Siuly Patanmacia, T., Gie Low, C., & Chuan Ker, G. (2011). Dependency on smartphone and the impact on purchase behaviour. Young Consumers, 12(3), 193–203.
Hsieh, C., Chiu, C. M., Hsu, T. P. L. C. Y. L., Liang, T. P., & Lai, C. Y. (2017). Factors affecting satisfaction and brand loyalty to smartphone systems: A perceived benefits perspective. International Journal of Mobile Communications, 16(1), 1.
Huang, Y. T., & Shih, K. H. (2017). Customer-based brand equity of smartphone in the emerging market. International Journal of Mobile Communications, 15(5), 467.
IBM Corp. (2015). IBM SPSS Statistics for Windows, Version 23.0. Armonk, NY: IBM Corp.
IDC. (2017). Worldwide Mobile Phone Tracker, 2017. Boston, MA.
ITU. (2018). ITU releases 2018 global and regional ICT estimates. Retrieved April 2, 2019, from https://www.itu.int/en/mediacentre/Pages/2018-PR40.aspx
James, J. (2012). The ICT Development Index and the digital divide: How are they related? Technological Forecasting and Social Change, 79(3), 587–594.
James, J. (2014). Patterns of mobile phone use in developing countries: Evidence from Africa. Social Indicators Research, 119(2), 687–704.
James, J. (2016). The impact of mobile phones on poverty and inequality in developing countries. https://doi.org/https://doi.org/10.1007/978-3-319-27368-6
Jamalova, M., & Constantinovits, M. (2019). The Comparative Study of the Relationship Between Smartphone Choice and Socio-Economic Indicators. International Journal of Marketing Studies, 11(3), 11.
Karakaş, G., & Öztürk, D. (2016). Analysis of the Factors Affecting the Mobile Phone Purchasing Decisions of University Students in Turkey City of Ordu Example. Journal of Life Economics, 3(1), 23–42.
Karippacheril, T. G., Nikayin, F., De Reuver, M., & Bouwman, H. (2013). Serving the poor: Multisided mobile service platforms, openness, competition, collaboration and the struggle for leadership. Telecommunications Policy, 37(1), 24–34.
Kim, J. S. (2016). An Investigation of Key Factors Affecting the Adoption of Smartphone in Three Regions. International Journal of Innovation and Technology Management, 13(06), 1640017.
Kımıloğlu, H., Nasır, V. A., & Nasır, S. (2010). Discovering behavioral segments in the mobile phone market. Journal of Consumer Marketing, 27(5), 401–413.
Lee, H. J., Park, N., & Yongs. (2015). A new dimension of the digital divide: Exploring the relationship between broadband connection, smartphone use and communication competence. Telematics and Informatics, 32(1), 45–56.
Liao, C. H., & Hsieh, I. Y. (2013). Determinants of consumer’s willingness to purchase gray-market smartphones. Journal of Business Ethics, 114(3), 409–424.
López-Nicolás, C., Molina-Castillo, F. J., & Bouwman, H. (2008). An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information & Management, 45(6), 359–364.
Mohammed, A. B. (2018). Selling smartphones to generation Z: Understanding factors influencing the purchasing intention of smartphone. International Journal of Applied Engineering Research, 13(6), 973–4562.
Persaud, A., & Azhar, I. (2012). Innovative mobile marketing via smartphones: Are consumers ready? Marketing Intelligence and Planning, 30(4), 418–443.
Petrovčič, A., Slavec, A., & Dolničar, V. (2018). The ten shades of silver: Segmentation of older adults in the mobile phone market. International Journal of Human-Computer Interaction, 34(9), 845–860.
Potnis, D. (2016). Inequalities creating economic barriers to owning mobile phones in India: Factors responsible for the gender digital divide. Information Development, 32(5), 1332–1342.
Puspitasari, L., & Ishii, K. (2016). Digital divides and mobile Internet in Indonesia: Impact of smartphones. Telematics and Informatics, 33(2), 472–483.
QGIS Development Team. (2018). QGIS Geographic Information System. Retrieved from http://qgis.org
Reid, A. J. (2018). Smartphone Paradox. https://doi.org/https://doi.org/10.1007/978-3-319-94319-0_
Roach, G. (2009). Consumer perceptions of mobile phone marketing: A direct marketing innovation. Direct Marketing, 3(2), 124–138.
Rogers, E. M. (1976). Communication and development: The passing of the dominant paradigm. Communication Research, 3(2), 213–240.
Rogers, E. M. (2003). The diffusion of innovation (5th ed.). https://doi.org/https://doi.org/10.1002/jps.2600520633
Sam, S. (2019). Bridging the Digital Gap in Sub-Saharan Africa. In M. Ragnedda & B. Mutsvairo (Eds.), Mapping Digital Divide in Africa (pp. 215–256). https://doi.org/10.2307/j.ctvh4zj72.15
Saxena, P., Gupta, S. K., Mehrotra, D., Kamthan, S., Sabir, H., Katiyar, P., & Sai Prasad, S. V. (2018). Assessment of digital literacy and use of smart phones among Central Indian dental students. Journal of Oral Biology and Craniofacial Research, 8(1), 40–43.
Shabrin, N., Khandaker, S., Bin, S., Kashem, A., Hie, C. K., & Susila, T. (2017). Factors Affecting Smartphone Purchase Decisions of Generation-Y. The Journal of Contemporary Issues in Business and Government, 23(1), 47–65.
Sidorchuk, R., Mkhitaryan, S. V., Musatov, B. V., Meshkov, A. A., & Tultaev, T. A. (2018). The influence of high level values on brand preferences of student youth in Russia. International Journal of Retail and Distribution Management, 46(7), 638–656.
Spitzer, M. (2015). M-Learning? When it comes to learning, smartphones are a liability, not an asset. Trends in Neuroscience and Education, 4(4), 87–91.
Sullivan, N. P. (2007). You can hear me now: how microloans and cell phones are connecting the world’s poor to the global economy. https://doi.org/https://doi.org/10.5860/choice.45-3313
Sung, W. (2016). A study of the digital divide in the current phase of the information age: The moderating effect of smartphones. Information Polity, 21(3), 291–306.
Tseng, F. M., Liu, Y. L., & Wu, H. H. (2014). Market penetration among competitive innovation products: The case of the Smartphone Operating System. Journal of Engineering and Technology Management - JET-M, 32, 40–59.
Tsetsi, E., & Rains, S. A. (2017). Smartphone Internet access and use: Extending the digital divide and usage gap. Mobile Media and Communication, 5(3), 239–255.
Uddin, M. R., Zahan Lopa, N., & Md, O. (2014). Factors Affecting Customers’ Buying Decisions of Mobile Phone : A Study on Khulna City, Bangladesh. International Journal of Managing Value and Supply Chains, 5(2), 21–28.
Unno, M., & Xu, H. (2013). Optimal platform strategies in the smartphone market. Electronics and Communications in Japan, 96(7), 1–10.
Wang, Y., Vasilakos, A., Jin, Q., & Zhu, H. (2017). Smartphone-Based Human Activity Recognition. In Device-to-Device based Proximity Service. https://doi.org/10.1201/9781315120201-9
Warschauer, M. (2003). Technology and social inclusion. https://doi.org/10.1017/cbo9781107300910.004
World Bank. (2008). Global economic prospects: Technology diffusion in the developing world. https://doi.org/https://doi.org/10.1596/978-0-8213-7365-1
World Bank. (2018). New country classifications by income level. Retrieved April 9, 2019, from https://blogs.worldbank.org/opendata/new-country-classifications-income-level-2018-2019
World Bank Database. (2018). World Development Indicators. Retrieved from https://data.worldbank.org/
Aker, J. C., & Mbiti, I. M. (2010). Mobile phones and economic development in Africa. Journal of Economic Perspectives, 24(3), 207–232.
Ann, B. Y., Chen, C. M., & Liu, H. M. (2017). Product Attributes and Purchase Intention for Smartphones: A Moderated Mediation Model. International Journal of Mobile Communications, 16(1), 1.
Baah, B., & Naghavi, N. (2018). Beyond the basics: How smartphones will drive future opportunities for the mobile money industry. Retrieved from www.gsma.com/mobilemoney
Brian S. Everitt, D. C. H. (2005). Encyclopedia of Statistics in Behavioral Science. https://doi.org/10.1002/9781118445112.stat06304
Bálint, C., & Tóth, T. (2018). Comparison of Hungary and the EU-28 countries in terms of health situation with special regard to chronic morbidity14th Annual International Conference on Economics and Business, (January 2019).
Bringula, R. P., Moraga, S. D., Catacutan, A. E., Jamis, M. N., & Mangao, D. F. (2018). Factors influencing online purchase intention of smartphones: A hierarchical regression analysis. Cogent Business and Management, 5(1), 1–18.
Cleff, T., & Cleff, T. (2013). Univariate Data Analysis (7th editio). https://doi.org/10.1007/978-3-319-01517-0_3
Coelho, D. C., Meneses, R. F. C., & Moreira, M. R. A. (2013). Factors influencing purchase intention of private label products: The case of smartphones. International Conference on Exploring Services Science, 313–321.
Cunningham, J. B., & James O. Aldrich. (2016). Summary for Policymakers. In Climate Change 2013 - The Physical Science Basis (2nd editio, Vol. 2). https://doi.org/10.1017/CBO9781107415324.004
Dolcinar, S. (2003). Using Cluster Analysis for Market Segmentation - Typical Misconceptions, Established Methodological Weaknesses and Some Recommendations for Improvement. Australasian Journal of Market Research, 11(2), 5–12.
Donner, R., & Jonathan, L. (2009). Mobile Communication. In New Directions in Folklore. Polity Press.
Everitt, B. S., Landau, S., Leese, M., & Stahl, D. (2011). Cluster Analysis (5th editio). https://doi.org/10.1007/BF00154794
Field, A. (2013). Discovering statistics using IBM SPSS statistics (Fourth edi; M. Carmichael, Ed.). SAGE Publications Ltd.
George, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference. Routledge.
Gravetter, F. J., & Wallnau, L. B. (2014). Essentials of the statistics for the behavioral science. In Learning (8th ed.).
Groß, M. (2015). Exploring the acceptance of technology for mobile shopping: an empirical investigation among Smartphone users. International Review of Retail, Distribution and Consumer Research, 25(3), 215–235.
GSMA. (2017). Accelerating affordable smartphone ownership in emerging markets. Retrieved from https://www.gsma.com/
GSMA Intelligence. (2019). The Mobile Economy 2019. Retrieved from https://www.gsmaintelligence.com/research/?file=b9a6e6202ee1d5f787cfebb95d3639c5&download
Haskell, B. (2004). Portable Electronics Product Design and Development (p. 384). p. 384. McGraw-Hill Professional.
Hong, S. G., Trimi, S., & Kim, D. W. (2016). Smartphone use and internet literacy of senior citizens. Journal of Assistive Technologies, 10(1), 27–38. https://doi.org/10.1108/JAT-03-2015-0006
Hooi Ting, D., Fong Lim, S., Siuly Patanmacia, T., Gie Low, C., & Chuan Ker, G. (2011). Dependency on smartphone and the impact on purchase behaviour. Young Consumers, 12(3), 193–203.
Hsieh, C., Chiu, C. M., Hsu, T. P. L. C. Y. L., Liang, T. P., & Lai, C. Y. (2017). Factors affecting satisfaction and brand loyalty to smartphone systems: A perceived benefits perspective. International Journal of Mobile Communications, 16(1), 1.
Huang, Y. T., & Shih, K. H. (2017). Customer-based brand equity of smartphone in the emerging market. International Journal of Mobile Communications, 15(5), 467.
IBM Corp. (2015). IBM SPSS Statistics for Windows, Version 23.0. Armonk, NY: IBM Corp.
IDC. (2017). Worldwide Mobile Phone Tracker, 2017. Boston, MA.
ITU. (2018). ITU releases 2018 global and regional ICT estimates. Retrieved April 2, 2019, from https://www.itu.int/en/mediacentre/Pages/2018-PR40.aspx
James, J. (2012). The ICT Development Index and the digital divide: How are they related? Technological Forecasting and Social Change, 79(3), 587–594.
James, J. (2014). Patterns of mobile phone use in developing countries: Evidence from Africa. Social Indicators Research, 119(2), 687–704.
James, J. (2016). The impact of mobile phones on poverty and inequality in developing countries. https://doi.org/https://doi.org/10.1007/978-3-319-27368-6
Jamalova, M., & Constantinovits, M. (2019). The Comparative Study of the Relationship Between Smartphone Choice and Socio-Economic Indicators. International Journal of Marketing Studies, 11(3), 11.
Karakaş, G., & Öztürk, D. (2016). Analysis of the Factors Affecting the Mobile Phone Purchasing Decisions of University Students in Turkey City of Ordu Example. Journal of Life Economics, 3(1), 23–42.
Karippacheril, T. G., Nikayin, F., De Reuver, M., & Bouwman, H. (2013). Serving the poor: Multisided mobile service platforms, openness, competition, collaboration and the struggle for leadership. Telecommunications Policy, 37(1), 24–34.
Kim, J. S. (2016). An Investigation of Key Factors Affecting the Adoption of Smartphone in Three Regions. International Journal of Innovation and Technology Management, 13(06), 1640017.
Kımıloğlu, H., Nasır, V. A., & Nasır, S. (2010). Discovering behavioral segments in the mobile phone market. Journal of Consumer Marketing, 27(5), 401–413.
Lee, H. J., Park, N., & Yongs. (2015). A new dimension of the digital divide: Exploring the relationship between broadband connection, smartphone use and communication competence. Telematics and Informatics, 32(1), 45–56.
Liao, C. H., & Hsieh, I. Y. (2013). Determinants of consumer’s willingness to purchase gray-market smartphones. Journal of Business Ethics, 114(3), 409–424.
López-Nicolás, C., Molina-Castillo, F. J., & Bouwman, H. (2008). An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information & Management, 45(6), 359–364.
Mohammed, A. B. (2018). Selling smartphones to generation Z: Understanding factors influencing the purchasing intention of smartphone. International Journal of Applied Engineering Research, 13(6), 973–4562.
Persaud, A., & Azhar, I. (2012). Innovative mobile marketing via smartphones: Are consumers ready? Marketing Intelligence and Planning, 30(4), 418–443.
Petrovčič, A., Slavec, A., & Dolničar, V. (2018). The ten shades of silver: Segmentation of older adults in the mobile phone market. International Journal of Human-Computer Interaction, 34(9), 845–860.
Potnis, D. (2016). Inequalities creating economic barriers to owning mobile phones in India: Factors responsible for the gender digital divide. Information Development, 32(5), 1332–1342.
Puspitasari, L., & Ishii, K. (2016). Digital divides and mobile Internet in Indonesia: Impact of smartphones. Telematics and Informatics, 33(2), 472–483.
QGIS Development Team. (2018). QGIS Geographic Information System. Retrieved from http://qgis.org
Reid, A. J. (2018). Smartphone Paradox. https://doi.org/https://doi.org/10.1007/978-3-319-94319-0_
Roach, G. (2009). Consumer perceptions of mobile phone marketing: A direct marketing innovation. Direct Marketing, 3(2), 124–138.
Rogers, E. M. (1976). Communication and development: The passing of the dominant paradigm. Communication Research, 3(2), 213–240.
Rogers, E. M. (2003). The diffusion of innovation (5th ed.). https://doi.org/https://doi.org/10.1002/jps.2600520633
Sam, S. (2019). Bridging the Digital Gap in Sub-Saharan Africa. In M. Ragnedda & B. Mutsvairo (Eds.), Mapping Digital Divide in Africa (pp. 215–256). https://doi.org/10.2307/j.ctvh4zj72.15
Saxena, P., Gupta, S. K., Mehrotra, D., Kamthan, S., Sabir, H., Katiyar, P., & Sai Prasad, S. V. (2018). Assessment of digital literacy and use of smart phones among Central Indian dental students. Journal of Oral Biology and Craniofacial Research, 8(1), 40–43.
Shabrin, N., Khandaker, S., Bin, S., Kashem, A., Hie, C. K., & Susila, T. (2017). Factors Affecting Smartphone Purchase Decisions of Generation-Y. The Journal of Contemporary Issues in Business and Government, 23(1), 47–65.
Sidorchuk, R., Mkhitaryan, S. V., Musatov, B. V., Meshkov, A. A., & Tultaev, T. A. (2018). The influence of high level values on brand preferences of student youth in Russia. International Journal of Retail and Distribution Management, 46(7), 638–656.
Spitzer, M. (2015). M-Learning? When it comes to learning, smartphones are a liability, not an asset. Trends in Neuroscience and Education, 4(4), 87–91.
Sullivan, N. P. (2007). You can hear me now: how microloans and cell phones are connecting the world’s poor to the global economy. https://doi.org/https://doi.org/10.5860/choice.45-3313
Sung, W. (2016). A study of the digital divide in the current phase of the information age: The moderating effect of smartphones. Information Polity, 21(3), 291–306.
Tseng, F. M., Liu, Y. L., & Wu, H. H. (2014). Market penetration among competitive innovation products: The case of the Smartphone Operating System. Journal of Engineering and Technology Management - JET-M, 32, 40–59.
Tsetsi, E., & Rains, S. A. (2017). Smartphone Internet access and use: Extending the digital divide and usage gap. Mobile Media and Communication, 5(3), 239–255.
Uddin, M. R., Zahan Lopa, N., & Md, O. (2014). Factors Affecting Customers’ Buying Decisions of Mobile Phone : A Study on Khulna City, Bangladesh. International Journal of Managing Value and Supply Chains, 5(2), 21–28.
Unno, M., & Xu, H. (2013). Optimal platform strategies in the smartphone market. Electronics and Communications in Japan, 96(7), 1–10.
Wang, Y., Vasilakos, A., Jin, Q., & Zhu, H. (2017). Smartphone-Based Human Activity Recognition. In Device-to-Device based Proximity Service. https://doi.org/10.1201/9781315120201-9
Warschauer, M. (2003). Technology and social inclusion. https://doi.org/10.1017/cbo9781107300910.004
World Bank. (2008). Global economic prospects: Technology diffusion in the developing world. https://doi.org/https://doi.org/10.1596/978-0-8213-7365-1
World Bank. (2018). New country classifications by income level. Retrieved April 9, 2019, from https://blogs.worldbank.org/opendata/new-country-classifications-income-level-2018-2019
World Bank Database. (2018). World Development Indicators. Retrieved from https://data.worldbank.org/