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Impulsive Buying Behavior in Online Fashion Apparel Shopping: An Investigation of the Influence of the Internal and External Factors among Indian Shoppers


Affiliations
1 G.D. Goenka University, G.D. Goenka Education City, Sohna-Gurugram Road, Sohna- 122103, Haryana, India
2 Al Hashar Electronics, P.O. Box. 331, P.C. 100, Muscat, Oman
     

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This research study used the Stimulus-Organism-Response (S-O-R) framework to study the impact of atmospheric variables (content, variety, design, navigation, price and promotion) on the browsing activity of the online shopper and its subsequent impact on the felt urge to buy. The impact of individual characteristic traits (shopping enjoyment, IBT) on the urge to buy was also studied. Data for this study were collected from 122 online shoppers from India in the age bracket of 18-45 years, and fashion apparel was chosen as the product category for this research. Findings revealed those significant factors such as atmospheric variables, browsing activity, and Impulsive Buying Tendency (IBT) which influenced a customer’s urge to buy in the context of online shopping in India.

Keywords

Atmospheric Cues, Individual Traits, Impulsive Buying Behavior, Online Shopping, Stimulus-Organism-Response (S-O-R).
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  • Adelaar, T., Chang, S., Lancendorfer, K., Lee, B., & Morimoto, M. (2003). Effects of media formats on emotions and impulse buying intent. Journal of Information Technology, 18(4). doi: 10.1080/0268396032000150799

  • Alba, J. W., & Hutchinson, J. W. (1987). Dimensions of Consumer Expertise. Journal of Consumer Research. 13. 411-54. doi: 10.1086/209080.

  • Amos, C., Holmes, G., & Keneson, W. (2014). A meta-analysis of c o n s u me r impulse buying. Journal of Retailing and Consumer Services, 21(2), 86-97.

  • Applebaum, W. (1951). Studying customer behavior in retail stores. Journal of Marketing, 16(2), 172. doi: 10.2307/1247625

  • Babin, B., Darden, W., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644. doi: 10.1086/209376

  • Beatty, S., & Elizabeth Ferrell, M. (1998). Impulse buying: Modeling its precursors. Journal of Retailing, 74(2), 169-191.

  • Belk, R. (1975). Situational variables and consumer behavior.Journal of Consumer Research, 2(3), 157-164.

  • Bellenger, D. N. &Korgaonkar, P. K. (1980). Profile the recreational shopper, Journal of Retailing, 56(3). 77-92.

  • Bellenger, D. N., Robertson, D. H., & Hirschman, E. C. (1978). Impulse buying varies by product. Journal of Advertising Research, 18(6), 15-18.

  • Bettman, J. R. (1979). An information processing theory of consumer choice.Boston, MA: Addison Wesley.

  • Bharati, P., & Chaudhury, A. (2006), Product customization on the web: An empirical study of factors impacting choiceboard user satisfaction. Information Resources Management Journal, 19(2), 69-81.

  • Blakeney, A., Findley, C., Self, D., Ingram, R., & Garrett, T. (2010). Media habits of sensation seekers. Journal Of Global Academy Of Marketing Science, 20(2), 179187. doi: 10.1080/12297119.2010.9730190

  • Bloch, P. H., & Bruce, G. D. (1984). Product involvement as leisure behavior. In T. C. Kinnear (Ed.), ACR North American Advances in Consumer Research, 11(197202). Provo, UT: Association for Consumer Research (ACR).

  • Bloch, P. (1995). Seeking the ideal form: Product design and consumer response.Journal of Marketing. 59, 16-29. 10.2307/1252116.

  • Brakus, J., Schmitt, B., &Zarantonello, L. (2009). Brand experience: What is it? how is it measured? does it affect loyalty? Journal Of Marketing, 73(3). doi: 10.1509/jmkg.73.3.52

  • Burroughs, J. (1996). Product symbolism, self-meaning and holistic ma t c h i n g : The role of information processing in impulsive buying. Advances in Consumer Research, 23, 463-467.

  • Jin, B., & Park, J. Y. (2006).The moderating effect of online purchase experience on the evaluation of online store attributes and the subsequent impact on market response outcomes.In C. Pechmann and L. Price (Eds.). North American Advances in Consumer Research, 33(203-211). Duluth, MN: Association for Consumer Research (ACR).

  • Cao, M., Zhang, Q., & Seydel, J. (2005). B2C e-commerce web site quality: An empirical examination. Industrial Management & Data Systems, 105(5), 645-661. doi: 10.1108/02635570510600000.

  • Cooper, D., & Emory, W. (1994). Business research methods. Chicago, IL: Richard D. Irwin.

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339.

  • DesMarteau, K. (2004). Online apparel sales see double-digit growth. APPARELCOLUMBIA SC-, 45, 30-32.

  • Dornyei, Z. (2007). Research methods in applied linguistics. New York, NY: OxfordUniversity Press.

  • Earl P. E., &Potts J. (2000) Latent demand and the browsing shopper. Managerial and Decision Economics, 21(3/4), 111–22.

  • Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2001). Atmospheric qualities of online retailing: A conceptual model and implications. Journal of Business Research, 54(2), 177-184. doi: 10.1002/mar.10064

  • Flight, R., Rountree, M., & Beatty, S. (2012). Feeling the urge: Affect in impulsive and compulsive buying.The Journal of Marketing Theory and Practice, 20(4), 453-466.

  • Floh, A., & Madlberger, M. (2013). The role of atmospheric cues in online impulse buying behavior. Electronic Commerce Research and Applications, 12(6), 425-439.

  • Francis, J., & White, L. (2002). Internet retailing: Back to the future. Retrieved from https ://ro.uow.edu.au/cgi/viewcontent.cgi?article=1838&context=commpapers

  • Gregory, R. J. (1992) Psychological testing: History, principles and applications, Boston, MA: Allyn and Bacon.

  • Hausman, A. (2000). A multi-method investigation of consumer motivations in impulse buying behavior. Journal of Consumer Marketing, 17(5), 403-426. doi: 10.1108/07363760010341045

  • Hoch, S. J., & Loewenstein, G. F. (1991). Time-inconsistent preferences and consumer self-control. Journal of Consumer Research, 17(4), 492-507.

  • Janiszewski, C. (1998). The influence of display characteristics on visual exploratory search behavior. Journal of Consumer Research, 25(3), 290-301. doi: 10.1086/209540

  • Jung, K., & Lim, C. (2006). Impulse buying behaviors on the internet (KDI School of Public Policy and Management Paper No. 06-09). Retrieved from https:// papers.ssrn.com/sol3/papers.cfm?abstract_id=953851

  • Kapferer, J., & Laurent, G. (1985). Consumer’s involvement profile: New empirical results. North AmericanAdvances in Consumer Research, Volume12 (pp. 290-295). Provo, UT: Association for Consumer Research (ACR).

  • Kim, D. Ferrin, D., & Raghav Rao, H. (2008). A trust-based consumer decisionmaking model in electronic commerce: the role of trust, perceived risk, and their antecedents. Decision Support Systems, 44, 544-564. Doi: 10.1016/j.dss.2007.07.001.

  • Kim, H., & Lennon, S. J. (2010). E-atmosphere, emotional, cognitive, and behavioral responses. Journal of Fashion Marketing and Management: An International Journal, 14(3), 412-428.doi: 10.1108/13612021011061861

  • Kim, S., & Eastin, M. (2011). Hedonic tendencies and the online consumer: An investigation of the online shopping process.Journal of Internet Commerce, 10(1), 68-90.

  • Koufaris, M. (2002). Customer trust online: Examining the role of experience with the website (CIS Working Paper No. 2002-05). Retrieved from http://onemvweb.com/sources/sources/trust_online_role_website.pdf

  • Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behavior, 25, 887-896. doi: 10.1016/j.chb.2009.03.003.

  • Lee M, Kim Y, &Fairhurst A. (2009). Shopping value in online auctions: their antecedents and outcomes. Journal of Retailing and Consumer Services, 16(1), 75-82.

  • Lefever, S., Dal, M., & Matthiasdottir, A. (2007). Online data collection in academic research: advantages and limitations. British Journal of Educational Technology, 38(4), 574-582.

  • Lepkowska-White, E. (2004). Online store perceptions: how to turn browsers into buyers? Journal of Marketing Theory And Practice, 12(3), 36-47. doi: 10.1080/ 10696679.2004.11658523

  • Lim, H.,& Dubinsky AJ. (2004). Consumers perceptions of e-shopping characteristics: an expectancy-value approach. Journal of Services Marketing, 18(7), 500-513.

  • Lin, S. W., & Lo, L. Y. S. (2015). Evoking online consumer impulse buying through virtual layout schemes.Behavior & Information Technology, 35(1), 38-56.

  • Lin, S. W., & Lo, L. Y. S. (2015). Mechanisms to motivate knowledge sharing: integrating the reward systems and social network perspectives. Journal of Knowledge Management, 19(2), 212-235.doi: 10.1108/jkm-05-2014-0209

  • Lo, L. Y. S., Lin, S. W., & Hsu, L. (2016). Motivation for online impulse buying: A two-factor theory perspective. International Journal of Information Management, 36(5), 759-772.

  • Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2002). WebQual: A measure of website quality. Marketing Theory and Applications, 13(3), 432-438.

  • Lynch Jr, J. G., &Ariely, D. (2000). Wine online: Search costs affect competition on price, quality, and distribution. Marketing Science, 19(1), 83-103.

  • MacInnis D.J &Price L.L (1990). An exploratory study of the effects of imagery processing and consumer experience on expectations and satisfaction. In M. E. Goldberg, G. Gorn., & R. W. Pollay (Eds.), North American Advances in Consumer Research, 17(41-47). Provo, UT: Association for Consumer Research (ACR).

  • Madhavaram, S. R., & Laverie, D. A. (2004). Exploring Impulse Purchasing on the Internet. In B. E. Kahn and M. F. Luce (Eds.), North AmericanAdvances in Consumer Research, 31 (59-66). Valdosta, GA: Association for Consumer Research (ACR).

  • Mehrabian, A., & Russell, J. (1974). An approach to environmental psychology. Cambridge MA: MIT Press.

  • Metzner, H., & Mann, F. (1952). A limited comparison of two methods of data collection: the fixed alternative questionnaire and the open-ended interview. American Sociological Review, 17(4), 486-491.

  • Mithas, S., Ramasubbu, N., Krishnan, M. S., & Fornell, C. (2006). Designing web sites for customer loyalty across business domains: A multilevel analysis. Journal of Management Information Systems, 23(3), 97-127.

  • Moe, W. W. (2003). Buying searching or browsing: Differentiating between online shoppers using in-store navigational clickstream. Journal of Consumer Psychology, 13(1&2), 29-39.

  • Mohan, G., Sivakumaran, B., & Sharma, P. (2013). Impact of store environment on impulse buying behavior. European Journal of Marketing, 47(10), 1711-1732.

  • Montoya-Weiss, M., Voss, G., &Grewal, D. (2003). Determinants of online channel use and overall satisfaction with a relational, multichannel service provider. Journal of the Academy of Marketing Science, 31(4), 448-458. doi: 10.1177/0092070303254408

  • Novak, T. P., Hoffman, D. L., &Duhachek, A. (2003). The influence of goaldirected and experiential activities on online flow experiences. Journal of Consumer Psychology, 13(1-2), 3-16.

  • Odekerken-Schröder, G., &Wetzels, M. (2003). Trade-offs in Online Purchase Decisions:: Two Empirical Studies in Europe. European Management Journal, 21(6), 731-739.

  • Onwuegbuzie, A., & Leech, N. (2005). Taking the “Q” out of research: Teaching research methodology courses without the divide between quantitative and qualitative paradigms.Quality & Quantity, 39(3), 267-295.

  • Overby, J. W., & Lee, E. J. (2006). The effects of utilitarian and hedonic online shopping value on consumer preference and intentions. Journal of Business research, 59(10-11), 1160-1166. doi: 10.1016/j.jbusres.2006.03.008.

  • Parboteeah, D. V. (2005). A model of online impulse buying: an empirical study. (Unpublished Doctoral Dissertation) Washington State University.

  • Park J. H., &Stoel L. (2002). Apparel shopping on the Internet: information availability on US apparel merchant websites. Journal of Fashion Marketing and Management, 6(2), 158-176.

  • Park, D., & Kim, S. (2008). The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews. Electronic Commerce Research and Applications, 7(4), 399-410. doi: 10.1016/j.elerap.2007.12.001

  • Park, E., Kim, E., Funches, V., & Foxx, W. (2012). Apparel product attributes, web browsing, and e-impulse buying on shopping websites. Journal of Business Research, 65(11), 1583-1589.

  • Phau, I., & Lo, C. C. (2004). Profiling fashion innovators: A study of self-concept, impulse buying and Internet purchase intent. Journal of Fashion Marketing and Management: An International Journal, 8(4), 399-411.doi: 10.1108/13612020410 559993

  • Piron, F., (1991). Defining impulse purchasing.In R.H. Holman and M. R. Solomon, (Eds.)North American Advances in Consumer Research, (Volume 18) (pp. 509-514). Provo, UT: Association for Consumer Research (ACR)

  • Puri, R. (1996). Measuring and modifying consumer impulsiveness: cost-benefit accessibility framework.Journal of Consumer Psychology, 5(2), 87-113.

  • Rice, E., Holloway, I., Barman-Adhikari, A., Fuentes, D., Brown, C., &Palinkas, L.(2014). A mixed-methods approach to network data collection. Field Methods, 26(3), 252-268.

  • Roehm Jr., H. A., &Roehm M. L.(2005). Revisiting the effect of positive mood on variety seeking. Journal of Consumer Research, 32(2), 330-336.

  • Rook, D. W. (1987). The buying impulse. Journal of Consumer Research, 14(2), 189-199.

  • Rook, D. W., & Fisher, R. J. (1995). Normative influences on impulsive buying behavior. Journal of Consumer Research, 22(3), 305-313.

  • Rook, D. W., & Hoch, S. J. (1985). Consuming impulses. In E. C. Hirschman and M. B. Holbrook (Eds.), North AmericanAdvances in Consumer Research, 12(23-27). Provo, UT: Association for Consumer Research (ACR).

  • Rook, D. W. (1987). The buying impulse. Journal of Consumer Research, 14, 189-199.

  • Rook, D. W., & Gardner, M. P. (1993). In the mood: Impulse buying’s affective antecedents. Research in Consumer Behavior, 6(7), 1-28. Greenwich, CT: JAI Press.

  • Rossi, P. H., Wright, J. D., & Anderson, A. B. (Eds.). (1983). Handbook of survey research.New York, NY: Academic Press.

  • Schmidt, J. B., &Spreng, R. A. (1996). A proposed model of external consumer information search. Journal of the academy of Marketing Science, 24(3), 246-256. doi: 10.1177/0092070396243005

  • Sharma, P., Sivakumaran B, &Marshall R. (2006). Investigating impulse buying and variety seeking: Towards a general theory of hedonic purchase behaviors. In C. Pechmann and L. Price (Eds.), North American Advances in Consumer Research, 33 (388-389). Duluth, MN: Association for Consumer Research (ACR).

  • Shen, K. N., &Khalifa, M. (2012). System design effects on online impulse buying. Internet Research, 22(4), 396-425.doi: 10.1108/10662241211250962

  • Smith, D. N., & Sivakumar, K. (2004).Flow and internet shopping behavior: a conceptual model and research propositions. Journal of Business Research, 57, 11991208.

  • Stern, H. (1962). The significance of impulse buying today. Journal of Marketing, 26(2), 59-62.

  • Suskie, L. A. (1996). Questionnaire survey research: What works (2nded.). Tallahassee, FL: Association for Institutional Research.

  • Svensson, G. (2009). A counterintuitive view of the deductive research process. European Business Review, 21(2), 191-196.

  • Takona, J. P. (2002). Educational research: Principles and practice. New York, NY: Writers Club Press.

  • Tandon, S. (2016, April 2). Indian online shoppers are getting more discerning.LiveMint. Retrieved from https://www.livemint.com/Consumer/XBd7RwcDBDjsZAqmLFrjFP/Indian-online-shoppers-are-getting-morediscerning.html

  • Van der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: Contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41-48. doi: 10.1057/ palgrave.ejis.3000445.

  • Verhagen, T., & van Dolen, W. (2011). The influence of online store beliefs on consumer online impulse buying: A model and empirical application. Information & Management, 48(8), 320-327.

  • Verplanken, B., & Herabadi, A. (2001). Individual differences in impulse buying tendency: Feeling and no thinking. European Journal of personality, 15(S1), S71-S83.

  • Ward M. R., & Lee M. J. (2000). Internet shopping consumer search and product branding. Journal of Product and Brand Management, 9(1), 6-20.

  • Watson, D., Clark, L. A., &Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063-1070.

  • Wells, J., Parboteeah, V., &Valacich, J. (2011). Online impulse buying: Understanding the interplay between consumer impulsiveness and website quality. Journal of the Association for Information Systems, 12(1), 32-56.

  • Welman, J. C., & Kruger, S. J. (1999). Research methodology for the business and administrative sciences. Johannesburg, South Africa: Thompson International.

  • Wenzel, K., & Babbie, E. R. (1994). The practice of social research.Belmont, CA: Wadsworth Publishing Company Inc.

  • Westbrook, R. A., & Black, W. C. (1985). A Motivation-based shopper typology. Journal of Retailing, 61. 78-103.

  • Williams, R., &Dargel, M. (2004). From servicescape to “cyberscape”. Marketing Intelligence & Planning, 22(3), 310-320.doi: 10.1108/02634500410536894

  • Wolfinbarger, M., &Gilly, M.C. (2003). Etailq: Dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79, 183-198.

  • Wolman, B. (1973). Handbook of general psychology (1st ed.). Prentice Hall.

  • Yoo, B., & Donthu, N. (2001). Developing and validating a multi-dimensional consumer-based brand equity scale. Journal of Business Research, 52(1), 1-14.

  • Youn, S., & Faber, R. J. (2000). Impulse buying: Its relation to personality traits and cues. In S. J. Hoch and R. J. Meyer (Eds.), North American Advances in Consumer Research,27(179-185). Provo, UT: Association for Consumer Research (ACR).

  • Zaichkowsky, J. (1995). Defending your brand against imitation. Westport, CT: Quorum Books.


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  • Impulsive Buying Behavior in Online Fashion Apparel Shopping: An Investigation of the Influence of the Internal and External Factors among Indian Shoppers

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Authors

Deepti Wadera
G.D. Goenka University, G.D. Goenka Education City, Sohna-Gurugram Road, Sohna- 122103, Haryana, India
Vrinda Sharma
Al Hashar Electronics, P.O. Box. 331, P.C. 100, Muscat, Oman

Abstract


This research study used the Stimulus-Organism-Response (S-O-R) framework to study the impact of atmospheric variables (content, variety, design, navigation, price and promotion) on the browsing activity of the online shopper and its subsequent impact on the felt urge to buy. The impact of individual characteristic traits (shopping enjoyment, IBT) on the urge to buy was also studied. Data for this study were collected from 122 online shoppers from India in the age bracket of 18-45 years, and fashion apparel was chosen as the product category for this research. Findings revealed those significant factors such as atmospheric variables, browsing activity, and Impulsive Buying Tendency (IBT) which influenced a customer’s urge to buy in the context of online shopping in India.

Keywords


Atmospheric Cues, Individual Traits, Impulsive Buying Behavior, Online Shopping, Stimulus-Organism-Response (S-O-R).

References