American Journal of Theoretical and Applied Business

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Factors Affecting Consumer Purchase Intention of Smartphones: A Case of Hawassa City

Received: 17 September 2020    Accepted: 30 October 2020    Published: 19 November 2020
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Abstract

The growing need and fast development of technology in the era of globalization, free markets, and more fierce competition made the company produce products to satisfy the diverse needs of customers, particularly within the smartphone industries. The major objective of this study was to assess factors affecting consumers' purchase intention of smartphones; a case of Hawassa city. A structured schedule that has three sections was used to collect the primary data. A complete sample of 385 consumers selected by employing the population precision method. The enumerator administered schedule is distributed to all the selected consumers. The research used a systematic random sampling technique at the time of data collection. However, only 356 consumers responded genuinely, and hence, the response rate was 92.46 percent. Descriptive and inferential statistical tools such as; frequency tables, percentages, means, standard deviations, Pearson correlation, and multiple regression analysis were used to data analysis. The result of the adjusted R square is 0.645, which demonstrates that 64.5 percent of purchase intention variation can be explained by the independent variables. Based on the statistical analyses, all variables namely price, product feature, brand name, advertising, and social influence have a positive relationship with the consumers’ purchase intention. The researcher has drawn the following recommendations. Smartphone manufacturers and marketers should carry out a periodic survey to help in identifying new features and decide which ones to add to its product, follow a value-based pricing strategy, strive to create positive word of mouth among consumers, advertising messages should be designed in a manner that is clear, understandable and not offensive to the consumers and build their strong brand name; establish the link of their brand name with the consumers through unique sources of communication.

DOI 10.11648/j.ajtab.20200604.12
Published in American Journal of Theoretical and Applied Business (Volume 6, Issue 4, December 2020)
Page(s) 52-65
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Purchase Intention, Consumer Behavior, Smartphone, Hawassa City

References
[1] Al-Sayaad, J., Rabea, A., Samrah, A. (2006). Statistics for Economics and Administration Studies. Dar Hafez, Jeddah, Kingdom of Saudi Arabia.
[2] Amit, S., & Ajay, C. (2015). Consumer buying preference towards entry level smartphone. International Journal of Applied Business and Economic Research, Vol: 13 (3), PP. 1173-1189.
[3] Amrit, M. (2014). Consumer behavior towards smartphone industry in Indian market (Master’s thesis). Dublin Business School, India. Available Online at http://esource.dbs.ie/bitstream/handle/10788/1812/mba_mohan_a_2014.pdf?sequence=1.
[4] Ayodele, Adeola, A., & Chioma, D. I. (2016). Factors influencing smartphone purchase behavior among young adults in Nigeria. International Journal of Recent Scientific Research, Vol: 7, (9), pp. 13248-13254. Available Online at http://www.recentscientific.com.
[5] Bhattacherjee, A. (2012). Social Science Research: Principles, Methods, and Practices. University of South Florida: Scholar Commons.
[6] Chew, J. Q., Lee, J. H., Lim, C. T., Loke, W. W., & Wong, T. K. (2012). Exploring the factors affecting purchase intention of Smartphone (Bachelor’s thesis). University Tunku Abdul Rahman, Perak Campus, Malaysia.
[7] Cochran, W. G. (1977). Sampling Techniques (3rd ed.). New York: John Wiley & Sons.
[8] Creswell, J. W. (2003). Research Design: Qualitative, Quantitative, and Mixed Method Approaches (2nd ed.). California: Sage Publications.
[9] Demis, A. (2016). Assessment of consumers’ buying Behavior towards nonlife insurance products of Africa Insurance Company (S. C), Hawassa branch (Master’s thesis). Hawassa University, Ethiopia.
[10] Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of Marketing Research, Vol: 6, pp. 307-319.
[11] Gupta, R., & Sheoran, B. (2013), Consumer Behavior on Smartphone’s - A Study on The Perceptions of Youth Population While Purchasing Smartphone’s, International Journal of Research in Management & Social Science, Vol: 1 (1), pp. 61-73.
[12] Pew Research Center (2016). Pew Research Center report on smartphone ownership rate. Retrieved from https://www.pewresearch.org/global/2016/02/22/smartphone-ownership-and-internet-usage-continues-to-climb-in-emerging-economies.
[13] Kashorda, M. (2002). Using information technology in higher education: Age publishers.
[14] Kaushal, S. K. & Rakesh, K. (2016). Factors affecting the purchase intension of smartphone: A study of young consumers in the city of Lucknow. Pacific Business Review International, Vol: 8 (12).
[15] Kaushal, S. K. & Rakesh, K. (2015). Consumers’ reaction towards smartphones: A study of students of university of Lucknow, India. Journal of Management Research, Vol: 7 (2).
[16] Keller, K. (1998). Strategic Brand Management (1st ed.). Upper Saddle River: Prentice Hall.
[17] Kothari, C., R. (2004). Research Methodology: Methods and Techniques (2nd Revised Ed.). India: New Age International Publishers.
[18] Kotler, P., & Armstrong, G. (2006). Principles of marketing (11th ed.). Upper Saddle River, NJ: Pearson Education, Inc.
[19] Lim, P. L., Poon, K. L., Tee, C. F., Thamil, S. A/L P. (2014). Factors affecting purchase intention towards smartphone brand: A study of young female adult consumers (Bachelor‘s thesis). Universiti Tunku Abdul Rahman, Malaysia.
[20] Mesay, S. (2013). Factor affecting consumer buying behavior of mobile phone devices. Mediterranean Journal of Social Science, Rome –Italy, Vo: l 4 (12), pp. 103-112.
[21] Rashotte, L. (2007). Social Influences affecting buyer behavior. Retrieved from http://www.Blackwellpublishing.com443/sociologist/docs/BEOSS1413.pdf.
[22] Sabnam, S. (2016). Influencing factors on consumer buying behavior of smartphones (Bachelor’s Thesis). Turku University of Applied Sciences, Nepal. Retrieved from http://www. pbr.co.in/June2016/1.pdf.
[23] Schiffman, L. G., & Kanuk, L. L. (2000). Consumer Behavior (7th ed.). Wisconsin: Prentice Hall.
[24] Surendra, M., Manminder, S. S., & Avijeet, S. T. (2013). A study on the factors influencing consumer’s purchase decision towards smartphones in Indore. International Journal of Advance Research in Computer Science and Management Studies, Vol: 1 (6), pp. 14-20.
[25] Tanzila, Ali, A. S., & Nazish, T. (2015). Buying behavior of smartphone among university students in Pakistan. International Journal of Business & Management, Vol: 3 (1), pp. 2321-8916.
[26] Kim, E. Y; Kim Y. K. (2015). Predicting online purchase intentions for clothing products. European journal of marketing, Vol: 38, pp. 883-897.
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  • APA Style

    Amanuel Engidaw. (2020). Factors Affecting Consumer Purchase Intention of Smartphones: A Case of Hawassa City. American Journal of Theoretical and Applied Business, 6(4), 52-65. https://doi.org/10.11648/j.ajtab.20200604.12

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    ACS Style

    Amanuel Engidaw. Factors Affecting Consumer Purchase Intention of Smartphones: A Case of Hawassa City. Am. J. Theor. Appl. Bus. 2020, 6(4), 52-65. doi: 10.11648/j.ajtab.20200604.12

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    AMA Style

    Amanuel Engidaw. Factors Affecting Consumer Purchase Intention of Smartphones: A Case of Hawassa City. Am J Theor Appl Bus. 2020;6(4):52-65. doi: 10.11648/j.ajtab.20200604.12

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  • @article{10.11648/j.ajtab.20200604.12,
      author = {Amanuel Engidaw},
      title = {Factors Affecting Consumer Purchase Intention of Smartphones: A Case of Hawassa City},
      journal = {American Journal of Theoretical and Applied Business},
      volume = {6},
      number = {4},
      pages = {52-65},
      doi = {10.11648/j.ajtab.20200604.12},
      url = {https://doi.org/10.11648/j.ajtab.20200604.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtab.20200604.12},
      abstract = {The growing need and fast development of technology in the era of globalization, free markets, and more fierce competition made the company produce products to satisfy the diverse needs of customers, particularly within the smartphone industries. The major objective of this study was to assess factors affecting consumers' purchase intention of smartphones; a case of Hawassa city. A structured schedule that has three sections was used to collect the primary data. A complete sample of 385 consumers selected by employing the population precision method. The enumerator administered schedule is distributed to all the selected consumers. The research used a systematic random sampling technique at the time of data collection. However, only 356 consumers responded genuinely, and hence, the response rate was 92.46 percent. Descriptive and inferential statistical tools such as; frequency tables, percentages, means, standard deviations, Pearson correlation, and multiple regression analysis were used to data analysis. The result of the adjusted R square is 0.645, which demonstrates that 64.5 percent of purchase intention variation can be explained by the independent variables. Based on the statistical analyses, all variables namely price, product feature, brand name, advertising, and social influence have a positive relationship with the consumers’ purchase intention. The researcher has drawn the following recommendations. Smartphone manufacturers and marketers should carry out a periodic survey to help in identifying new features and decide which ones to add to its product, follow a value-based pricing strategy, strive to create positive word of mouth among consumers, advertising messages should be designed in a manner that is clear, understandable and not offensive to the consumers and build their strong brand name; establish the link of their brand name with the consumers through unique sources of communication.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Factors Affecting Consumer Purchase Intention of Smartphones: A Case of Hawassa City
    AU  - Amanuel Engidaw
    Y1  - 2020/11/19
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ajtab.20200604.12
    DO  - 10.11648/j.ajtab.20200604.12
    T2  - American Journal of Theoretical and Applied Business
    JF  - American Journal of Theoretical and Applied Business
    JO  - American Journal of Theoretical and Applied Business
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    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.ajtab.20200604.12
    AB  - The growing need and fast development of technology in the era of globalization, free markets, and more fierce competition made the company produce products to satisfy the diverse needs of customers, particularly within the smartphone industries. The major objective of this study was to assess factors affecting consumers' purchase intention of smartphones; a case of Hawassa city. A structured schedule that has three sections was used to collect the primary data. A complete sample of 385 consumers selected by employing the population precision method. The enumerator administered schedule is distributed to all the selected consumers. The research used a systematic random sampling technique at the time of data collection. However, only 356 consumers responded genuinely, and hence, the response rate was 92.46 percent. Descriptive and inferential statistical tools such as; frequency tables, percentages, means, standard deviations, Pearson correlation, and multiple regression analysis were used to data analysis. The result of the adjusted R square is 0.645, which demonstrates that 64.5 percent of purchase intention variation can be explained by the independent variables. Based on the statistical analyses, all variables namely price, product feature, brand name, advertising, and social influence have a positive relationship with the consumers’ purchase intention. The researcher has drawn the following recommendations. Smartphone manufacturers and marketers should carry out a periodic survey to help in identifying new features and decide which ones to add to its product, follow a value-based pricing strategy, strive to create positive word of mouth among consumers, advertising messages should be designed in a manner that is clear, understandable and not offensive to the consumers and build their strong brand name; establish the link of their brand name with the consumers through unique sources of communication.
    VL  - 6
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Author Information
  • College of Business and Economics, Department of Marketing Management, Mekdela Amba University, Mekane Selam, Ethiopia

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