- Log In/Sign Up
- P-ISSN2765-6934
- E-ISSN2765-7027
- KCI
ISSN : 2765-6934
Selecting a Web Portal for Online Shopping: A Conceptual Approach Using Interpretive Structural Modeling
T. Sai Vijay (Indian Institute of Management)
Chandan Parsad (Indian Institute of Management)
Abstract
Purpose – The present study examines interrelationships among antecedent factors defining consumer behavior in selecting online shopping websites. Research design, data, and methodology – The study identified factors from existing literature and used Interpretive Structural Modeling (ISM) to propose a conceptual approach to explain consumer website selection behavior. Through extensive discussions among industry and academia experts, qualitative assessment of the relationship between various factors was determined. Results – According to the model, eight congregating factors do not converge directly for website selection, rather, they operate following a hierarchy of influence. The ISM and MICMAC analysis reveal that information on a website and website aesthetics play key roles in influencing website selection. However, convenience and the value proposition also play very significant roles. Conclusions – The study’s findings can help the e-commerce industry, especially online retailers. The findings can be used to enhance e-retailer ability to attract, communicate, engage, achieve, monitor, and evaluate web traffic and design appropriate strategies. The study’s prime contribution is the application of Interpretative Structural Modeling (ISM) to the field of website selection.
- keywords
- Online shopping, web aesthetics, value proposition, interpretive structural modelling (ISM) MICMAC Analysis.
Reference
Ahn, T., Ryu, S., & Han, I. (2004). The impact of the online and offline features on the user acceptance of Internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405-420.
Aren, S., Güzel, M., Kabadayı, E., & Alpkan, L. (2013). Factors Affecting Repurchase Intention to Shop at the Same Website. Procedia-Social and and Behavioral Sciences, 99, 536-544.
Anthony, D. Miyazaki, & Fernandez, A. (2001). Consumer Perceptions of Privacy and Security Risks for Online Shopping, The Journal of Consumer Affairs, 35(1) 27-43.
Bakos, J. Y. (1991). A strategic analysis of electronic marketplaces. MIS Quarterly, 15(3), 295-310.
Chen, S., & Chang, T. (2003). A Descriptive Model of Online Shopping Process: Some Empirical Results. International Journal of Service Industry Management, 14(5), 556-569.
Ching-Wen, C., & Hsi-Peng, L. (2007). Factors influencing online music purchase intention in Taiwan: An empirical study based on the value-intention framework. Internet Research, 17(2), 139-155.
Constantinides, E. (2004). Influencing the online consumer’s behavior:the Web experience. Journal of Internet Research, 14(2), 111-126.
Devaraj, S., Ming, F., & Kohli, R. (2002). Antecedents of b2c channel satisfaction and preference: Validating e-commerce Metrics. Information Systems Research, 13(3), 316-333.
Donthu, N., & Garcia, A. (1999). The internet shopper. Journal of Advertising Research, 39(3), 52-58.
Eastlick, M., & Feinberg, R. A. (1999). Shopping motives for mail catalogue shopping. Journal of Business Research, 45(3), 281-90.
Faisal, M. N., Banwet, D. K., & Shankar, R. (2006). Supply chain risk mitigation: modelling the enablers. Business Process Management Journal, 12(4), 535-552.
Farris, D. R., & Sage, A. P. (1975). On the use of interpretive structural modelling for worth assessment. Computers and Electrical Engineering, 2(2-3), 149–174.
Fenech, T., & O’Cass, A. (2001). Internet users' adoption of Web retailing: user and product dimensions. Journal of Product & Brand Management, 10(6), 361-381.
Grace, T. R., & Chia-Chi, S. (2009). Factors influencing satisfaction and loyalty in online shopping: an integrated model. Online Information Review, 33(3), 458-475.
Gehrt, K. C., Yale, L. J., & Lawson, D. A. (1996). The convenience of catalog shopping: is there more to it than time? Journal of Direct Marketing, 10(4), 19-28.
Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance:Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565-571.
Hui, Tak-Kee & Wan, David (2006). Factors affecting Internet shopping behaviour in Singapore: gender and educational issues. International Journal of Consumer Studies, 31, 310-316.
Janes, F. R. (1988). Interpretive Structural Modeling: a methodology for structuring complex issues. Transactions of the Institute of Measurement and Control, 10(3), 145–154.
Jharkharia, S., & Shankar, R. (2004). IT enablement of supply chains: modelling the enablers. International Journal of Productivity and Performance Management, 53(8), 700-712.
Jyoti, B. D. K., & Deshmukh, S. G. (2010). Modelling the success factors for national R&D organizations: a case of India. Journal of Modelling in Management, 5(2), 158-175.
Kim, S., & Stoel, L. (2004). Apparel retailers: website quality dimensions and satisfaction. Journal of Retailing and Consumer Services, 11, 109-117.
Lee, J., Park, D., & Han, I. (2011). The different effects of online consumer reviews on consumers' purchase intentions depending on trust in online shopping malls: An advertising perspective. Internet Research, 21(2), 187-206.
Liu, C., & Arnett, P. K. (2000). Exploring the factors associated with web site success in the context of electronic commerce. Information & Management, 38, 23-33.
Mandal, A., & Deshmukh, S. G. (1994). Vendor selection using interpretive structural modeling (ISM). International Journal of Operations & Production Management, 14(6), 52–59.
Malone, D. W. (1975). An introduction to the applications of interpretive structural modelling. Proceedings of the IEEE, 63(3), 397–404.
Morganosky, M. A., & Cude, B. J. (2000). Consumer response to online grocery shopping. International Journal of Retail & Distribution Management, 28(1), 17-26.
Park, C. H., & Kim, Y. G. (2006). The effect of information satisfaction and relational benefit on consumers’online shopping site commitments. Journal of Electronic Commerce in Organizations, 4, 70-90.
Pires, G., Stanton, J., & Eckford, A. (2004). Influences on the perceived risk of purchasing online. Journal of Consumer Behaviour, 4(2), 118-131.
Ravi, V., & Shankar, R. (2005). Analysis of interactions among the barriers of reverse logistics. Technological Forecasting and Social Change, 72(8), 1011–1029.
Rowley, J. (1996). Retailing and shopping on the Internet, International Journal of Retail and Distribution Management, 24(3), 26-37.
Rudolph, T., Rosenbloom, B., & Wagner, T. (2004). Barriers to online shopping in Switzerland. Journal of International Consumer Marketing, 16(3), 55-74.
Sage, A. P. (1977). Interpretive Structural Modeling: methodology for large-scale systems. New York. NY: McGraw-Hill:New, 91–164.
Saxena, J. P., Sushil, & Vrat, P. (1990). The impact of indirect relationships in classification of variables: a MICMAC analysis for energy conservation. Systems Research, 7(4), 245–253.
Saxena, J. P., Sushil, & Vrat, P. (1992). Scenario building: a critical study of energy conservation in the Indiancement industry. Technological Forecasting and Social Change, 41(2), 121–146.
Saxena, J. P., Sushil, & Vrat, P. (2006). Policy and strategy formulation:An application of flexible systems methodology. Global Institute of Flexible Systems Management, New Delhi: GIFT Publishing.
Sharma, H. D., Sushil, & Gupta, A. D. (1994). A structural approach to analysis of causes of system waste in the Indian economy. Systems Research, 11(2), 17-41.
Shergill, Gurvinder S., & Chen, Zhaobin (2004). Shopping on the internet–online purchase behavior of New Zealand consumers. Journal of Internet Commerce, 3(4), 61-77.
Sharma, H. D., Gupta, A. D., & Sushil, (1995). The objectives of waste management in India: a future inquiry. Technological Forecasting and Social Change, 48, 285–309.
Singh, M. D., Shankar, R., Narain, R., & Agarwal, A. (2003). An interpretive structural modelling of knowledge management in engineering industries. Journal of Advances in Management Research, 1(1), 28–40.
Sonia San, M., & Carmen, C. (2009). How perceived risk affects online buying. Online Information Review, 33(4), 629-654.
Soti, A., & Shankar, R. (2010). Modelling the enablers of Six Sigma using interpreting structural modelling. Journal of Modelling in Management, 5(2), 124-141.
Tan, S. J. (1999). Strategies for reducing consumers’ risk aversion in internet shopping. Journal of Consumer Marketing, 16(2), 163-180. Thakkar J., Deshmukh S. G., Gupta A. D., & Shankar, R.
(2007). Development of Score card: An integrated approach of ISM and ANP. International Journal of Production and Performance Management, 56(1), 25-59.
Thomson, E. S., & Laing, W. A. (2003). The net generation:children and young people, the internet and online shopping. Journal of Marketing Management, 19(3-4), 491-512.
Trabold, L. M., Heim, G. R., & Field, J. M. (2006). Comparing e-service performance across industry sectors: Drivers of overall satisfaction in online retailing, International Journal of Retail & Distribution Management, 34(4/5), 240-257.
Wang, S., Beatty, S. E. & Foxx, W. (2004). Signaling the trustworthiness of small online retailers. Journal of Interactive Marketing, 18(1), 53-69.
Warfield, J. (1976). Societal Systems: Planning, Policy and Complexity. New York, NY: John Wiley & Sons.
Watson, R. H. (1978). Interpretive Structural Modeling-A useful tool for technology assessment? Technological Forecasting and Social Change, 11(2), 165–185.
Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: dimensionalizing, measuring, and predicting etail quality. Journal of Retailing, 79, 183-198.
Xia, L., Mengqiao, H., Fang, G., & Peihong, X. (2008). An empirical study of online shopping customer satisfaction in China: a holistic perspective. International Journal of Retail and Distribution Management, 36(11), 919-940.
- Downloaded
- Viewed
- 0KCI Citations
- 0WOS Citations