Refine your search
Collections
Co-Authors
Journals
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Gorai, Ruchi Malik
- To Identify the Reasons that Act as Critical Resistors for Online Shopping (A Survey in Delhi NCR Region)
Abstract Views :211 |
PDF Views:119
Authors
Affiliations
1 Apeejay School of Management, Dwarka, IN
1 Apeejay School of Management, Dwarka, IN
Source
Management Dynamics, Vol 18, No 1 (2018), Pagination: 31-42Abstract
On-line shopping is a form of electronic commerce where the buyer is directly online to the seller's computer usually through the internet. The sale and purchase transaction is completed electronically and interactively in real time for eg: Amazon.com and Flipkart.com. Unfortunately, India has lagged in e-retail growth story due to low density of internet connections, lower penetration of credit cards and customer anxiety in using new technologies. The growing use of Internet in India provides a developing prospect for online shopping. These online retailers are formulating many enduring promotional offers that is motivating people to change their behaviour and rather shop online. In case of services like banking, travel and tourism a drastic change is surely witnessed. However, in case of physical products there are multiple factors that are acting as resistors for them to shop online. This paper focuses on those factors which acts as a major hindrance for anyone while shopping online. These critical resistors are broadly divided into the following categories: psychological, behavioural, demographic cultural and social factors and product category factors. For the present study a sample of 300 was considered from Delhi (NCR) region to find out how these factors play a critical role while shopping online.Keywords
E-Tailing, Online Shopping Behaviour.Full Text
References
- Amin, P. D., & Amin, B. (2010). A critical review of gender differences in online shopping. Indian Journal of Marketing, 40(11), 43-52.
- Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and Internet shopping behavior.
- Communications of the ACM, 43(11), 98-105.
- Bisen, A., Singh, P.,Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and Internet shopping behavior. Communications of the ACM, 43(11), 98-105.
- Brashear, T. G., Kashyap, V., Musante, M. D., & Donthu, N. (2009). A profile of the Internet shopper: Evidence from six countries. Journal of Marketing Theory and Practice, 17(3), 267-282.
- Brown, M., Pope, N., & Voges, K. (2003). Buying or browsing? An exploration of shopping orientations and online purchase intention. European Journal of Marketing, 37(11/12), 1666-1684.
- Chen, C. W. D., & Cheng, C. Y. J. (2009). Understanding consumer intention in online shopping: a respecification and validation of the DeLone and McLean model. Behaviour & Information Technology, 28(4), 335-345.
- Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of retailing, 77(4), 511-535.
- Chiang, K. P., & Dholakia, R. R. (2003). Factors driving consumer intention to shop online: an empirical investigation. Journal of Consumer psychology, 13(1-2), 177-183.
- Chiu, Y. B., Lin, C. P., & Tang, L. L. (2005). Gender differs: assessing a model of online purchase intentions in e-tail service. International journal of service industry management, 16(5), 416-435.
- Cho, H., & Fiorito, S. S. (2009). Acceptance of online customization for apparel shopping. International Journal of Retail & Distribution Management, 37(5), 389-407.
- Cho, J. (2004). Likelihood to abort an online transaction: influences from cognitive evaluations, attitudes, and behavioral variables. Information & Management, 41(7), 827-838.
- Claudia, I. (2012). Perceived risk when buying online: Evidence from a semi-structured interview.
- Economics series, 22(2), 63-73.
- Close, A. G., & Kukar-Kinney, M. (2010). Beyond buying: Motivations behind consumers' online shopping cart use. Journal of Business Research, 63(9-10), 986-992.
- D'Andrea, G., Ring, L. J., Lopez Aleman, B., & Stengel, A. (2006). Breaking the myths on emerging consumers in retailing. International Journal of Retail & Distribution Management, 34(9), 674-687.
- Farivar, S., Turel, O., & Yuan, Y. (2017). A trust-risk perspective on social commerce use: an examination of the biasing role of habit. Internet Research, 27(3), 586-607.
- Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping.
- journal of Business research, 56(11), 867-875.
- Gehrt, K. C., Rajan, M. N., Shainesh, G., Czerwinski, D., & O'Brien, M. (2012). Emergence of online shopping in India: shopping orientation segments. International Journal of Retail & Distribution Management, 40(10), 742-758.
- Goldsmith, R. E., & Goldsmith, E. B. (2002). Buying apparel over the Internet. Journal of Product & Brand Management, 11(2), 89-102.
- Gugnani, R., & Choudhary, A. (2017). Web Shopping Adoption by Female Web Browsers for Apparel Shopping in India. FIIB Business Review, 6(4), 48-57.
- Ha, S., & Stoel, L. (2012). Online apparel retailing: roles of e-shopping quality and experiential eshopping motives. Journal of Service Management, 23(2), 197-215.
- Hao, Y., Ye, Q., Li, Y., & Cheng, Z. (2010, January). How does the valence of online consumer reviews matter in consumer decision making? Differences between search goods and experience goods. In System sciences (HICSS), 2010 43rd hawaii international conference on (pp. 1-10). IEEE.
- Hansen, T., & Møller Jensen, J. (2009). Shopping orientation and online clothing purchases: the role of gender and purchase situation. European Journal of Marketing, 43(9/10), 1154-1170.
- Huang, Y., & Oppewal, H. (2006). Why consumers hesitate to shop online: An experimental choice analysis of grocery shopping and the role of delivery fees. International Journal of Retail & Distribution Management, 34(4/5), 334-353.
- Joseph, M. (2008). Impact of organized retailing on the unorganized sector (No. 222). Working Paper.
- Karayanni, D. A. (2003). Web-shoppers and non-shoppers: compatibility, relative advantage and demographics. European Business Review, 15(3), 141-152.
- Katawetawaraks, C., & Wang, C. L. (2013). Online shopper behavior: Influences of online shopping decision.
- Kaul, S. (2007). Measuring retail service quality: examining applicability of international research perspectives in India. Vikalpa, 32(1), 15-26.
- Khare, A., & Rakesh, S. (2011). Antecedents of online shopping behavior in India: An examination.
- Journal of Internet Commerce, 10(4), 227-244.
- Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision support systems, 44(2), 544-564.
- Knee, C. (2002). Learning from experience: five challenges for retailers. International Journal of retail & distribution management, 30(11), 518-529.
- Korgaonkar, P., Becerra, E., O'Leary, B., & Goldring, D. (2010). Product classifications, consumer characteristics, and patronage preference for online auction. Journal of Retailing and Consumer Services, 17(4), 270-277.
- Kotler, P. (1973). Atmospherics as a marketing tool. Journal of retailing, 49(4), 48-64.
- Kotler, P., Keller, K. L., Koshy, A., & Jha, M. (2012). Marketing Management. New Delhi: Pearson.
- Kuruvilla, S. J., Joshi, N., & Shah, N. (2009). Do men and women really shop differently? An exploration of gender differences in mall shopping in India. International Journal of Consumer Studies, 33(6), 715-723.
- Kuruvilla, S. J., & Ranjan, K. (2008). GENDER AND MALL SHOPPING: An Anaysis Of Patronage Patterns, Shopping Orientation And Consumption Of Fashion Of Indian Youth. International Journal of Business Insights & Transformation, 1(2).
- Lepkowska-White, E.,( 2004), Online Store Perceptions: How to turn browsers into buyers, Journal of Marketing Theory and Practice, 12 (3), 36-48.
- Lian, J. W., & Lin, T. M. (2008). Effects of consumer characteristics on their acceptance of online shopping: Comparisons among different product types. Computers in Human Behavior, 24(1), 48-65.
- Lian, J. W., Liu, H. M., & Liu, I. L. (2012). Applying innovation resistance theory to understand user acceptance of online shopping: The moderating effect of different product types. Computer Technology and Application, 3(2).
- Lian, J. W., & Yen, D. C. (2014). Online shopping drivers and barriers for older adults: Age and gender differences. Computers in Human Behavior, 37, 133-143.
- Lohse, G., Bellman, S., & Johnson, E. J. (2000). Consumer buying behavior on the Internet: Findings from panel data.
- Mathwick, C., & Rigdon, E. (2004). Play, flow, and the online search experience. Journal of consumer research, 31(2), 324-332.
- Menon, S., & Kahn, B. (2002). Cross-category effects of induced arousal and pleasure on the Internet shopping experience. Journal of retailing, 78(1), 31-40.
- Morganosky, M. A., & Cude, B. J. (2000). Consumer response to online grocery shopping. International Journal of Retail & Distribution Management, 28(1), 17-26.
- Perea y Monsuwé, T., Dellaert, B. G., & De Ruyter, K. (2004). What drives consumers to shop online? A literature review. International journal of service industry management, 15(1), 102-121.
- Peterson, R. A., Balasubramanian, S., & Bronnenberg, B. J. (1997). Exploring the implications of the Internet for consumer marketing. Journal of the Academy of Marketing science, 25(4), 329-346.
- Phau, I., & Meng Poon, S. (2000). Factors influencing the types of products and services purchased over the Internet. Internet Research, 10(2), 102-113.
- Ram, S., & Sheth, J. N. (1989). Consumer resistance to innovations: the marketing problem and its solutions. Journal of Consumer Marketing, 6(2), 5-14.
- Ram, S. (1987). A model of innovation resistance. ACR North American Advances.
- Rose, S., & Dhandayudham, A. (2014). Towards an understanding of Internet-based problem shopping behaviour: The concept of online shopping addiction and its proposed predictors.
- Rohm, A. J., & Swaminathan, V. (2004). A typology of online shoppers based on shopping motivations. Journal of business research, 57(7), 748-757.
- Roy Dholakia, R. (1999). Going shopping: key determinants of shopping behaviors and motivations.
- International Journal of Retail & Distribution Management, 27(4), 154-165.
- Sarkar, A. (2011). Impact of utilitarian and hedonic shopping values on individual's perceived benefits and risks in online shopping. International management review, 7(1), 58.
- Siamagka, N. T., Christodoulides, G., & Michaelidou, N. (2016). The Impact of Comparative Affective States on Online Brand Perceptions: The Moderating Role of Cultural Dimensions. In Let's Get Engaged! Crossing the Threshold of Marketing's Engagement Era (pp. 59-62). Springer, Cham.
- Siamagka, N. T., Christodoulides, G., & Michaelidou, N. (2015). The impact of comparative affective states on online brand perceptions: a five-country study. International Marketing Review, 32(3/4), 438-454.
- Thamizhvanan, A., & Xavier, M. J. (2013). Determinants of customers' online purchase intention: an empirical study in India. Journal of Indian Business Research, 5(1), 17-32.
- Van Slyke, C., Belanger, F., & Comunale, C. L. (2004). Factors influencing the adoption of web-based shopping: the impact of trust. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 35(2), 32-49.
- W. Hill, W., E. Beatty, S., & Walsh, G. (2013). A segmentation of adolescent online users and shoppers.
- Journal of Services Marketing, 27(5), 347-360.
- Wu, S. I. (2003). The relationship between consumer characteristics and attitude toward online shopping. Marketing Intelligence & Planning, 21(1), 37-44.
- Zhou, L., Dai, L., & Zhang, D. (2007). Online shopping acceptance model-A critical survey of consumer factors in online shopping. Journal of Electronic commerce research, 8(1), 41.