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Empirical Study on Cluster Analysis of the Smartphone Segment


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1 J.D. Birla Institute, Department of Management, Kolkata, West Bengal, India
     

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The purpose of this study is to understand the market dynamics of smartphones. The study aims to investigate the effect of trends, social influences and convenience on consume's purchasing behaviour. This report is based on quantitative data. The first step that was undertaken was a pilot survey. A sample of 40 respondents was framed using random sampling method. The primary data collected through pilot survey was analyzed. After the successful completion of pilot survey, it was identified that consumers are aware of the smartphone technology and there is a huge scope in the market. Then the main survey was conducted to conclude the purpose of the study. The primary data for main survey were collected from a random sample of 84 respondents. According to the customers' response, data were analyzed using Cluster Analysis. This paper presents the result of a survey on the trend of smartphone from the perspective of end consumers. This study has looked into the familiarity of users towards smart phones, operating platform and different unique smartphone features such as backup, third party application, multi-window, global positioning system (GPS) etc. This study also identified consumer preference for different smartphone brands and most importantly the determinants that influence their purchasing decision. Additionally, the consumer preferences on smartphone specifications such as design, screen size and price were investigated. Furthermore, it was also analysed that consumers are aware of smartphone malicious software and security software in order to protect their device. The statistics presented provides fundamental information regarding the trends and factors influencing consumers buying behaviour, in the smartphone market. Such information is useful for the development in the field, whereas for smartphone manufacturers, application developers and other stakeholders, they will be able to plan their direction for generating revenue as well as maintaining their position in the market.

Keywords

Market Dynamics, Pilot Survey, Cluster Analysis, Customer Preference.
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  • Anquetil, E., & Bouchereau, H. (2002). Integration of an On-line Handwriting Recognition System-Pattern Recognition. Proceedings 16th International Conference on (pp. 192-195). INSA, Campus Univ. de Beaulieu, Rennes, France: IEEE.
  • Balakrishnan, V., & Yeow, P. H. P. (2007). Testing satisfaction: does age and gender make a difference? International Journal of Computer Science and Security Page, 85-96.
  • Ballagas, R., Rohs, M., Sheridan, J., & Borchers, J. (2006). The smart phone: A ubiquitous input device. Pervasive Computing, IEEE, 5(1), 70-77.
  • Beale, R. (2005). Mobile blogging: Supporting informal mobile learning, 4th World Conference, Cape Town.
  • Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. Cyber Psychology & Behavior, 39-51.
  • Entner, R. (2010). Smartphones to overtake feature phones in u.s. by 2011 [Online] Retrieved from http://blog.nielsen.com/nielsenwire/consumer/smartphones-to-overtake-feature-phones-in-u-s-by-2011
  • Lane, W., & Manner, C. (2012). The impact of personality traits on smartphone ownership and use. International Journal of Business and Social Science, 2(17).
  • Lim, G. Y., & Lee, J. Y. (2010). Leveraging on Smartphone for Seamless Self-directed Learning, 14th Global Chinese Conference on Computer in Education (pp. 1116-1175). Singapore: Global Chinese Society of Computers in Education.
  • McCrae, R. R., & John, O. P. (1992). An introduction to the five-factor model and its applications. Journal of Personality, 60, 175-215.
  • Mitchell, K., & Race, N. J. (2005). ULearn-Facilitating Ubiquitous Learning through Camera Equipped Mobile Phones IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE 2005).
  • Nichols, J., & Myers, B. A. (2006). Controlling home and office appliances with smartphone. IEEE Pervasive Computing, 5(3).
  • Persaud, A., & Azhar, I. (2012). Innovative mobile marketing via Smartphone: Are consumers ready? Marketing Intelligence & Planning, 30(4), 418-443.
  • Prensky, M. (2005). What can you learn from a cell phone? Almost Anything! Innovate: Journal of Online Education, 1(5),
  • Sakuraoka-Gilman, M. (2011). Smartphone still to come to 70% of mobile market as asymoco's colorful graph demonstrate. Retrieved from http://www.pocketgamer.biz/news/34861/
  • Valk, J. H., & Rashid, A. T. (2010). Using mobile phones to improve educational outcomes: An analysis of evidence from Asia. IRRODL, 11(1), 117-140.
  • Zhou, Y., Zhang, X., Jiang, X., & Freeh, V. W. (2011). Taming Information-Stealing Smartphone Applications (on Android)", Trust and Trustworthy Computing-4th International Conference, Berlin, Heidelberg: Springer, 2011, pp. 93-107.

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  • Empirical Study on Cluster Analysis of the Smartphone Segment

Abstract Views: 625  |  PDF Views: 2

Authors

S. Lakshmy
J.D. Birla Institute, Department of Management, Kolkata, West Bengal, India

Abstract


The purpose of this study is to understand the market dynamics of smartphones. The study aims to investigate the effect of trends, social influences and convenience on consume's purchasing behaviour. This report is based on quantitative data. The first step that was undertaken was a pilot survey. A sample of 40 respondents was framed using random sampling method. The primary data collected through pilot survey was analyzed. After the successful completion of pilot survey, it was identified that consumers are aware of the smartphone technology and there is a huge scope in the market. Then the main survey was conducted to conclude the purpose of the study. The primary data for main survey were collected from a random sample of 84 respondents. According to the customers' response, data were analyzed using Cluster Analysis. This paper presents the result of a survey on the trend of smartphone from the perspective of end consumers. This study has looked into the familiarity of users towards smart phones, operating platform and different unique smartphone features such as backup, third party application, multi-window, global positioning system (GPS) etc. This study also identified consumer preference for different smartphone brands and most importantly the determinants that influence their purchasing decision. Additionally, the consumer preferences on smartphone specifications such as design, screen size and price were investigated. Furthermore, it was also analysed that consumers are aware of smartphone malicious software and security software in order to protect their device. The statistics presented provides fundamental information regarding the trends and factors influencing consumers buying behaviour, in the smartphone market. Such information is useful for the development in the field, whereas for smartphone manufacturers, application developers and other stakeholders, they will be able to plan their direction for generating revenue as well as maintaining their position in the market.

Keywords


Market Dynamics, Pilot Survey, Cluster Analysis, Customer Preference.

References