Asian Journal of Home Science

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Online Shopping Behaviour of the Consumers in Jorhat Town of Assam


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1 Department of Family Resource Management and Consumer Science, Assam Agricultural University, Jorhat (Assam), India
     

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Online shopping is purchasing items from internet retailers. Recently it has witnessed a tremendous growth resulting in greater use of this tool by the traders. Also the competition in e-commerce is intensified. Therefore, it becomes more important for online retailers to understand the online shopping behaviour of the consumers. Consumer behaviour has been always of great interest to marketers. The knowledge of consumer behaviour helps the marketer to understand how consumers think, feel and select from alternatives like products, brands and the like and how the consumers are influenced by their environment, the reference groups, family, and salespersons and so on. For the present research work 120 samples were selected randomly from four wards of municipality area of Jorhat Assam and a multistage stratified random sampling method was adopted in order to select representative sample. Findings revealed that majority of the consumers have average shopping behaviour. Age of the respondent is negatively correlated whereas education and income has strong positive correlation with online shopping behaviour.

Keywords

Consumer, Consumer Behaviour, Online Shopping, Online Shopping Behaviour.
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  • A news reported in 5th in September (2013). Economic times.

  • Agarwal, S. (2013). A study of factors affecting online shopping behavior of consumers in Mumbai region. Tactful Mngt. Res. J., 2 : 16-32.

  • Alba, Joseph, John Lynch, Barton Weitz, Chris Janiszewski, Richard Lutz, Alan Sawyer and Stacey Wood (1997). Interactive home shopping: Consumer, retailer and manufacturer incentives to participate in electronic market places. J. Mktg., 61: 38-53.

  • Bashir, A. (2013). Consumer behavior towards online shopping of electronics in Pakistan. Thesis, MBA, Seinajoki Business School.

  • Cassell, J. and Bickmore, T. (2000). External manifestations of trustworthiness in the interface. Communications ACM, 43(12): 50-56.

  • Channel Advisor (2011). Consumer Survey: Global Consumer Shopping Habits., Channel Advisor, 2011.

  • Dillon, T.W. and Reif, H.L. (2004). Factors influencing consumers’ e-commerce commodity purchases. Information Technology, Learning & Performance J., 22(2): 1-12.

  • Foucault, B. and Scheufele, D. (2002). Web vs. campus store? Why students buy textbooks online. J. Consumer Mktg., 19 (4/5): 409-424.

  • Gyanendra, K.K. (2014). India’s e-commerce industry may reach $70 billion by 2020, DNAIndia, retrieved from http:// www.dnaindia.com/scitech/report-india-s-e-commerceindustrymay-reach-70-billion-by-2020.

  • Kanchan, U., Kumar, N. and Gupta, A. (2015). A study of online purchase behavior of customers in India. ICTACT J. Mngt. Stud., 01(03).

  • Murdad, K. and Salleh, S.M. (2014). Confession of an online shopaholic: teenage youth’s purchasing behavior towards online retailing preferences. Internat. J. Soc. Sci. Hum., 4(1).

  • Parasuraman, S. and Igbaria, M. (1990). An examination of gender differences in the determinants of computer anxiety and attitudes towards microcomputers among managers. Internat. J. Man-Machine Studies, 32: 327-40.

  • Prasad, C. and Aryasri, A. (2009 )D. eterminants of shopper behavior in e-tailing: An empirical analysis. Paradigm, 13(1): 73-83.

  • Sharma, S. and Mittal, S. (2009). Prospects of e-commerce in India. Asian J. Mgmt. & Res., 3(2): 396-408.

  • Slyke, C.V., Belanger, F. and Hightower, R. (2005). “Understanding gender-based differences in consumer– commerce adoption”. Proceedings of the 2005 Southern Association of Information Systems Conference.

  • Teo, T.S.H. (2001). Demographic and Motivation Variables Associated with The internet Usage Activities. The Internet. Research: Electronic Network Applications & Policy, 11 (2) : 125-137.

  • Zhang, K.Z., Zhao, S.J., Cheung, C.M. and Lee, M.K. (2014). Examining the influence of online reviews on consumers’ decision-making: A heuristic–systematic model. Decision Support Systems, 67: 78-89.

  • Zhao, Z.J. and Gutierrez, J.A. (2002). “Customer service factors influencing the internet shopping in New Zealand”. Issues in informing science and information technology, University of Auckland, Auckland, New Zealand.

  • Rox, H. (2007). Top reasons people shop online may surprise you. http://www. associatedcontent.com/article/459412/ top_reasons_people_shop_online_may.html?cat=3,Associatecontent.com.


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  • Online Shopping Behaviour of the Consumers in Jorhat Town of Assam

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Authors

Manorama Devi
Department of Family Resource Management and Consumer Science, Assam Agricultural University, Jorhat (Assam), India
Leena Das
Department of Family Resource Management and Consumer Science, Assam Agricultural University, Jorhat (Assam), India
Moonty Baruah
Department of Family Resource Management and Consumer Science, Assam Agricultural University, Jorhat (Assam), India

Abstract


Online shopping is purchasing items from internet retailers. Recently it has witnessed a tremendous growth resulting in greater use of this tool by the traders. Also the competition in e-commerce is intensified. Therefore, it becomes more important for online retailers to understand the online shopping behaviour of the consumers. Consumer behaviour has been always of great interest to marketers. The knowledge of consumer behaviour helps the marketer to understand how consumers think, feel and select from alternatives like products, brands and the like and how the consumers are influenced by their environment, the reference groups, family, and salespersons and so on. For the present research work 120 samples were selected randomly from four wards of municipality area of Jorhat Assam and a multistage stratified random sampling method was adopted in order to select representative sample. Findings revealed that majority of the consumers have average shopping behaviour. Age of the respondent is negatively correlated whereas education and income has strong positive correlation with online shopping behaviour.

Keywords


Consumer, Consumer Behaviour, Online Shopping, Online Shopping Behaviour.

References