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Do Actions Speak? A Behavioural Analysis of Consumers' P erception of E-advertising


Affiliations
1 Gitarattan International Business School, New Delhi, India
2 Institute of Management Studies and Research, M. D. U., Rohtak, Haryana, India
     

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Internet users are not a homogeneous group, rather there are as many heterogeneous groups as possible. Understanding consumers in terms of their internet usage pattern is important for the e-advertisers to connect with them effectively . This study explores how behavioural factors of internet users affect their perception of e-advertising. The behavioural factors in the study include the expertise of internet use, frequency of internet usage, speed of internet connection and their experience with the internet. A survey was conducted in Delhi NCR. The results of the study are based on regression analysis and have found significant effect of consumers' behavioural factors on their perception of e-advertising.

Keywords

E-advertising, Consumers, P erception, Internet, Behavioral Factors.
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  • Aljukhadar, M., & Senecal, S. (2011). Segmenting the online consumer market. Marketing Intelligence & Planning, 29(4), 421-435.

  • ATKearney report “ Global Retail Expansion: Keeps on Moving.” Retrieved from http://www.atkearney .in/documents/10192/8115253/GRDI_2012.pdf/e75e4462-908c-44da-aa97-00e4003797eb

  • Azeem, A., & Haq, Z. (2012). Perception towards internet advertising: A study with reference to three different demographic groups. Global Business and Management Research: An International Journal, 4(1),28-45.

  • Beane, T . P ., & Ennis, D. M. (1987). Market segmentation: A review . European Journal of Marketing, 21(5),20-42.

  • Becker , B. W ., & Connor, P . E. (1981). Personal values of the heavy user of mass media. Journal of Advertising Research, 21,37-43.

  • Case, T ., Burns, O. M., & Dick, G. (2001). Drivers of on-line purchasing among US university students. AMCIS 2001 Proceedings,169.

  • Cristóbal-F ransi, E., Martín-Fuentes, E., & Daries-Ramon, N. (2015). Behavioural analysis of subjects interacting with information technology: Categorising the behaviour of e-consumers. International Journal of Services Technolog y and Management, 21(1-3), 163-182.

  • Dellaert, B. G., & Kahn, B. E. (1999). How tolerable is delay?: Consumers' evaluations of internet web sites after waiting. Journal of Interactive Marketing, 13(1),41-54.

  • Flanagin, A. J., & Metzger , M. J. (2000). Perceptions of internet information credibility . Journalism & Mass Communication Quarterly , 77(3), 515-540.

  • Huang, E. Y ., Lin, S. W ., & Fan, Y . C. (2015). MS-QUAL: Mobile service quality measurement. Electronic Commerce Research and Applications, 14(2), 126-142.

  • Huseynov , F ., & Y1ld1r1m, S. Ö. (2016). Behavioral issues in B2C E-commerce: The-state-of-the-art.Information Development, 32(5), 1343-1358.

  • IAB report “IAB Internet Advertising Revenue Report conducted by PricewaterhouseCoopers (PWC).” http://www .iab.net/media/file/IAB_Internet_ Advertising_Revenue_FY_2014.pdf.

  • Jarvenpaa, S. L., T ractinsky , N., & Saarinen, L. (1999). Consumer trust in an Internet store: A cross-cultural validation. Journal of Computer-Mediated Communication, 5(2), JCMC526.

  • Jung, J., Shim, S. W ., Jin, H. S., & Khang, H. (2016). Factors affecting attitudes and behavioural intention towards social networking advertising: A case of Facebook users in South Korea. International Journal of Advertising, 35(2), 248-265.

  • Kalia, P ., Singh, T ., & Kaur, N. (2016). An empirical study of online shoppers' search behaviour with respect to sources of information in Northern India. Productivity: A Quarterly Journal of the National Productivity Council, 56(4), 353-361.

  • Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior . Information Systems Research, 13(2),205-223.

  • Li, N., & Zhang, P . (2002). Consumer online shopping attitudes and behavior: An assessment of research. AMCIS 2002 Proceedings, 74. Retrieved from aisel.aisnet.org/cgi /viewcontent.cgi?article=1433&context=amcis2002.

  • Liao, Z., & Cheung, M. T . (2001). Internet-based e-shopping and consumer attitudes: An empirical study . Information &Management, 38(5), 299-306.

  • Ling, K. C., Chai, L. T ., & Piew , T . H. (2010). The effects of shopping orientations, online trust and prior online purchase experience toward customers' online purchase intention. International Business Research, 3(3), 63.

  • Lohse, G., Bellman, S., & Johnson, E. J. (2000). Consumer buying behavior on the Internet: Findings from panel data. Journal of Interactive Marketing, 14(1), 15-29.

  • MacKenzie, S. B., & Lutz, R. J. (1989). An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting context. Journal of Marketing, 53(2), 48-65.

  • Miyazaki, A. D., & Fernandez, A. (2001). Consumer perceptions of privacy and security risks for online shopping. Journal of Consumer Affairs, 35(1), 27-44.

  • Novak, T . P ., Hoffman, D. L., & Y ung, Y . F . (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22-42.

  • Novak, T . P ., Hoffman, D. L., & Y ung, Y . F . (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22-42.

  • Plummer , J. T . (1974). The concept and application of life style segmentation: The combination of two useful concepts provides a unique and important view of the market. Journal of Marketing, 38(1), 33-37.

  • Pollay , R. W ., & Mittal, B. (1993). Here's the beef: Factors, determinants, and segments in consumer criticism of advertising. Journal of Marketing, 57(3), 99-114.

  • Reynolds, K. E., & Beatty , S. E. (1999). A relationship customer typology . Journal of Retailing, 75(4), 509-523.

  • Saadeghvaziri, F ., Dehdashti, Z., & Reza Kheyrkhah Askarabad, M. (2013). Web advertising: Assessing beliefs, attitudes, purchase intention and behavioral responses. Journal of Economic and Administrative Sciences, 29(2), 99-112.

  • Scharlr , A., Wöber, K. W ., & Bauer , C. (2003). An integrated approach to measure web site effectiveness in the European hotel industry . Information Technolog y and Tourism, 6(4), 257-271.

  • Scharlr , A., Wöber, K. W ., & Bauer , C. (2003). An integrated approach to measure web site effectiveness in the European hotel industry . Information Technolog y and Tourism, 6(4), 257-271.

  • Schiffman, L., & Kanuk, L. L. (2005). Consumer behaviour(ed.). India: P earson Education India.

  • Schlegelmilch, B. B. (2016). Segmenting targeting and positioning in global markets. In Global marketing strateg y (pp. 63-82). S witzerland: Springer .

  • Schlosser , A. E., Shavitt, S., & Kanfer, A. (1999). Survey of Internet users' attitudes toward Internet advertising. Journal of Interactive Marketing, 13(3), 34-54.

  • Shavitt, S., Lowrey , P ., & Haefner , J. (1998). Public attitudes toward advertising: More favorable than you might think. Journal of Advertising Research, 38(4), 7-22.

  • Sin, L., & T se, A. (2002). Profiling internet shoppers in Hong Kong: Demographic, psychographic, attitudinal and experiential factors. Journal of International Consumer Marketing, 15(1), 7-29.

  • Swinyard, W . R., & Smith, S. M. (2003). Why people (don't) shop online: A lifestyle study of the internet consumer . Psycholog y and Marketing, 20(7), 567-597.

  • Tsang, M. M., Ho, S. C., & Liang, T . P . (2004). Consumer attitudes toward mobile advertising: An empirical study . International Journal of Electronic Commerce, 8(3), 65-78.

  • Wang, C., Zhang, P ., Choi, R., & D'Eredita, M. (2002). Understanding consumers attitude toward advertising. AMCIS 2002 Proceedings, 158.

  • Wang, Y ., Sun, S., Lei, W ., & Toncar , M. (2009). Examining beliefs and attitudes toward online advertising among Chinese consumers. Direct Marketing: An International Journal, 3(1), 52-66.

  • Wolin, L. D., & Korgaonkar , P . (2003). Web advertising: gender differences in beliefs, attitudes and behavior . Internet Research, 13(5), 375-385.

  • Wolin, L. D., Korgaonkar , P ., & Lund, D. (2002). Beliefs, attitudes and behaviour towards Web advertising. International Journal of Advertising, 21(1), 87-113.


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  • Do Actions Speak? A Behavioural Analysis of Consumers' P erception of E-advertising

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Authors

Sarika Ahlluwalia
Gitarattan International Business School, New Delhi, India
Seema Singh
Institute of Management Studies and Research, M. D. U., Rohtak, Haryana, India

Abstract


Internet users are not a homogeneous group, rather there are as many heterogeneous groups as possible. Understanding consumers in terms of their internet usage pattern is important for the e-advertisers to connect with them effectively . This study explores how behavioural factors of internet users affect their perception of e-advertising. The behavioural factors in the study include the expertise of internet use, frequency of internet usage, speed of internet connection and their experience with the internet. A survey was conducted in Delhi NCR. The results of the study are based on regression analysis and have found significant effect of consumers' behavioural factors on their perception of e-advertising.

Keywords


E-advertising, Consumers, P erception, Internet, Behavioral Factors.

References