International Journal of Hospitality and Tourism Systems

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Purchase Intention of Indian Consumers on Online Travel Buying Decision: a Comparative Study on Metro and Non-metro City.


Affiliations
1 IBM, GLA University,17 Km. stone,NH#2 Mathura-Delhi Road, Chaumuha, Mathura-281406 U.P., India
2 Indian Institute of Management, Raipur M.P., India
3 ABV-Indian Institute of Information Technology & Management Gwalior Morena Link Road, Gwalior, M.P., India
     

   Subscribe/Renew Journal


The purpose of this paper is to find out the components of purchase intention towards online travel buying decision through literature and then develop a simple and precise model of online purchase intention. Further, this paper measures the impact of online purchase intention on consumer attitude and comparative study of understanding the same in metro and non metro customers in India. Since, Metro and non-metro customers are different in their consumer behaviour in many ways. The conceptual framework of factors affecting brand equity is developed by examining the theoretical foundation for online purchase intention. Linear regression and z-test was used to measure the impact of these attributes on consumer attitude and difference in metro and non-metro customers respectively. The purpose of this paper is to find out the components of purchase intention towards online travel buying decision through literature and then develop a simple and precise model of online purchase intention. Further, this paper measures the impact of online purchase intention on consumer attitude and comparative study of understanding the same in metro and non metro customers in India. Since, Metro and non-metro customers are different in their consumer behaviour in many ways. The conceptual framework of factors affecting brand equity is developed by examining the theoretical foundation for online purchase intention. Linear regression and z-test was used to measure the impact of these attributes on consumer attitude and difference in metro and non-metro customers respectively.

Keywords

Purchase Intention, Consumer Attitude, E-commerce, Service Quality, Reference Group, Consumer Trust
Subscription Login to verify subscription
User
Notifications
Font Size


  • Au, A.K., & Enderwick, P. (2000). A cognitive model on attitude towards technology adoption. Journal of Managerial Psychology, 15(4), 266-282.

  • Batra, R., & Sinha, I. (2000). Consumer-level factors moderating the success of private label brands. Journal of Retailing, 76(2), 175-191.

  • Brown, S.P., & Stayman, D.M. (1992). Antecedents andconsequences of attitude toward the ad: a meta-analysis. Journal of Consumer Research, 19(2), 34-51.

  • Broekhuizen, T. (2006). Understanding Channel Purchase Intentions: Measuring Online and offline Shopping Value Perception, (Unpublished doctoral thesis), Groningen University, Groningen, Netherlands.

  • Buick, I. (2003). Information technology in small Scottish hotels: Is it working? International Journal of Contemporary Hospitality Management, 15(4), 243-247.

  • Clow, K.E., Tripp, C., & Kenny, J.T. (1996). The importance of service quality determinants in advertising a professional service: An exploratory study. Journal of Services Marketing, 10(2), 59-74.

  • Cronin, J.J.J., Brady, M.K., & Hult, G.T.M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76(2), 193-218.

  • Dabholkar, P. (1994). Incorporating choice into an attitudinal framework: analyzing models of mental comparison processes. Journal of Consumer Research, 21(1), 100-118.

  • Datt, R., & Sundharam, K. P. M. (1990). The Indian Economy, New Delhi: S. Chand and Company Ltd.

  • Delone, W.H., & Mclean, E.R. (2003). The DeLone and McLean model of information systems success: A tenyear update. Journal of Management Information Systems, 19(4), 9-30.

  • Fassnacht, M., & Koese, I. (2006). Quality of electronic services: conceptualizing and testing a hierarchical model. Journal of Service Research, 9(1), 19-37.

  • Fazio, R.H. (2000). Accessible attitudes as tools for object appraisal: Their costs and benefits, in Maio, G.R. and Olson, J.M. (Eds), Why We Evaluate: Functions of Attitudes, Lawrence Erlbaum, Mahwah, NJ.

  • Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention,and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA.

  • Fusaro, M., Theoret, Y., & Charron, C. Y. (2002). Generating Trust in Online Business, The Communicators, IQ Books, Montreal.

  • Grewal, D., Monroe, K.B., & Krishnan, R. (1998). The effects of price comparison advertising on buyers‘ perceptions of acquisition value and transaction value. Journal of Marketing, 62, 46-59.

  • Hyman, H. H. (1942). The psychology of Status. Archives of Psychology, 269, 94-102.

  • Jarvenpaa, S.L., & Tractinsky, N. (1999). Consumer trust in an internet store. Information Technology and Management, 5(2), 1-35.

  • Jeong, M., Oh, H. & Gregoire, M. (2003). Conceptualizingweb site quality and its consequences in the lodging industry. International Journal of Hospitality Management, 22(2), 161-175.

  • Joshi, N., & Mishra, D.P. (2011). Environment Friendly Car: A study of Consumer Awareness with special reference to Maharashtra State, Information Management and Business Review, 2(2), 92-98.

  • Keaveney, S.M. (1995). Customer switching behavior in service industries: An exploratory study. Journal of Marketing, 59, 71-82.

  • Kelley, H.H. (1947). Two Functions of Refernce Groups, in reading in social psychology, ed. Guy E. Swanson et al., NY: Holt, Renehart & Winston, 410-414.

  • Koutsoutos, A., & Westerholt, C. (2005). Business impacts of ICT. International Journal of Technology, Policy and Management, 5(1), 25-47.

  • Kuan, H.H., Bock, G.W., & Vathanophas, V. (2008). Comparing the effects of web site quality on customer initial purchase and continued purchase at e-commerce web sites. Behaviour and Information Technology, 27(1), 3-16.

  • Kurtz, D.L., & Clow, K.E. (1992-93). Managing consumer expectations of services. The Journal of Marketing Management, 2(Fall/Winter), 19-25.

  • Laroche, M. (2002). Selected issues in modeling consumer brand choice: the extended competitive vulnerability model, in Woodside, A.G. and Moore, E. (Eds), Essays by Distinguished Marketing Scholars of the Society for Marketing Advances. Elsevier Science, Kidlington, 69-114.

  • Laroche, N., Kim, C., & Zhou, L. (1996). Brand familiarity and confidence as determinants of purchase intention: an empirical test in a multiple brand context. Journal of Business Research, 37(10), 115-120.

  • Law, R., & Bai, B. (2008). How do the preferences of online buyers and browers differ on pthe design and content of travel web sites? International Journal of Contemporary Hospitality Management, 20(4), 388-400.

  • Li, Z., & Gery, N. (2000). E-tailing: for all products? Business Horizons, (November/December), 49-54.

  • Lowry, P.B., Vance, A., Moody, G., Beckman, B., & Read, A. (2008). Explaining and predicting the impact of branding alliances and web site quality on initial consumer trust of e-commerce web sites. Journal of Management Information Systems, 24(4), 199-244.

  • Meyronin, B. (2002). ICT: The creation of value and differentiation in services. Managing Service Quality, 14(2/3), 216-225.

  • O’Brien, C. (2008). The Role of Risk in Society, available at www.aviva.com/library/pdfs/customers/obrien_essay_on_risk.pdf.

  • O’Connor, P., & Frew, A.J. (2004). An evaluation methodology for hotel electronic channels of distribution. International Journal of Hospitality Management, 23(2), 179-199.

  • Peter, J.P., & Ryan, M.J. (1976). An investigation of perceived risk at the brand level. Journal of Marketing Research, 13, 184-188.

  • Pornpitakpan, C., & Green, R. T (2006). The effect of message appeals countering unrealistic optimism on purchase intentions A cross-national study. Asia Pacific Journal of Marketing and Logistics, 19(3), 207-226.

  • Ranaweera, C., Bansal H., & Mcdougall G. (2008). Web sitesatisfaction and purchase intentions Impact of personality characteristics during initial web site visit. Managing Service Quality, 18(4), 329-348.

  • Reichheld, F.F., & Schefter, P. (2000). E-loyalty: Your secret weapon on the web. Harvard Business Review, 78(4), 105-13.

  • Rust, R.T., Moorman, C., & Dickson, P.P. (2000). Getting returns from service quality: Is the conventional wisdom wrong? Working Paper 00-120, Marketing Science Institute, Cambridge, MA.

  • Schiffman, G. L. & Leslie, L. K. (2002). Consumer Behaviour, Seventh Edition, Prentice Hall India: New Delhi, 183–193.

  • Schurr, P.H. & Ozanne, J. L. (1985). Influences on exchange processes: Buyer’s perceptions of a seller’s trustworthiness and bargaining toughness. Journal of Consumer Research, 11(4), 939-953.

  • Sheldon, P.J. (1997). Tourism Information Technology, CAB International, New York, NY.

  • Singh, J. & Wilkes, R.E. (1996). When consumers complain: A path analysis of the key antecedents of consumer complain response estimates. Journal of the Academy of Marketing Science, 24, 350-365.

  • Smith, M.F. (1999). Urban versus suburban consumers: A contrast in holiday shopping purchase intentions and outshopping behaviour. Journal of Consumer Marketing, 16(1), 58-73.

  • Steenkamp, J-B.E.M., Hofstede, F., & Wedel, M. (1999). A cross-national investigation into the individual and national cultural antecedents of consumer innovativeness. Journal of Marketing, 63, 55-59.

  • Yi, Y., & Gong, T. (2008). The electronic service quality model: the moderating effect of customer self-efficacy. Psychology and Marketing, 25(7), 587-601.

  • Zanna, M. & Rempel, J.K. (1988). Attitudes: A new look at an old concept, in Bar-Tal, D. and Kruglanski, A.W. (Eds). The Social Psychology of Knowledge, Cambridge University, Cambridge, 315-334.

  • Zhou, K.Z., Su, C. & Bao, Y. (2002). A paradox of pricequality and market efficiency: A comparative study of the USA and China markets. International Journal of Research in Marketing, 19, 349-65.


Abstract Views: 431

PDF Views: 11




  • Purchase Intention of Indian Consumers on Online Travel Buying Decision: a Comparative Study on Metro and Non-metro City.

Abstract Views: 431  |  PDF Views: 11

Authors

Utkal Khandelwal
IBM, GLA University,17 Km. stone,NH#2 Mathura-Delhi Road, Chaumuha, Mathura-281406 U.P., India
Naval Bajpai
Indian Institute of Management, Raipur M.P., India
Jai Prakash Sharma
ABV-Indian Institute of Information Technology & Management Gwalior Morena Link Road, Gwalior, M.P., India

Abstract


The purpose of this paper is to find out the components of purchase intention towards online travel buying decision through literature and then develop a simple and precise model of online purchase intention. Further, this paper measures the impact of online purchase intention on consumer attitude and comparative study of understanding the same in metro and non metro customers in India. Since, Metro and non-metro customers are different in their consumer behaviour in many ways. The conceptual framework of factors affecting brand equity is developed by examining the theoretical foundation for online purchase intention. Linear regression and z-test was used to measure the impact of these attributes on consumer attitude and difference in metro and non-metro customers respectively. The purpose of this paper is to find out the components of purchase intention towards online travel buying decision through literature and then develop a simple and precise model of online purchase intention. Further, this paper measures the impact of online purchase intention on consumer attitude and comparative study of understanding the same in metro and non metro customers in India. Since, Metro and non-metro customers are different in their consumer behaviour in many ways. The conceptual framework of factors affecting brand equity is developed by examining the theoretical foundation for online purchase intention. Linear regression and z-test was used to measure the impact of these attributes on consumer attitude and difference in metro and non-metro customers respectively.

Keywords


Purchase Intention, Consumer Attitude, E-commerce, Service Quality, Reference Group, Consumer Trust

References