Influences of gender and product type on online purchasing

Journal of Business Research

Volumn 68, Issue 7, 2015, Pages 1550-1556

  Pascual Miguel, Félix J ^a   Agudo Peregrina, Ángel F ^a   Chaparro Peláez, Julián ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Consumer behavior; Digital goods; Electronic commerce; Gender; Online shopping; Purchase intention

Indexed keywords

EID: 84927979090     PISSN: 01482963     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbusres.2015.01.050     Document Type: Article

References (56)

1. Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes 1991, 50(2):179-211.
2. Chang S. Internet segmentation. Journal of Segmentation in Marketing 1998, 2(1):19-34.
3. Chang H.H. Task-technology fit and user acceptance of online auction. International Journal of Human-Computer Studies 2010, 68(1-2):69-89.
4. Chen S.C., Dhillon G.S. Interpreting dimensions of consumer trust in e-commerce. Information Technology and Management 2003, 4(2-3):303-318.
5. Chin W.W. The partial least squares approach to structural equation modeling. Modern methods for business research 1998, Vol. 8:295-336. Lawrence Erlbaum Associates, Inc., Mahwah, NJ.
6. Chin W.W. Frequently asked questions - Partial least squares & PLS-Graph [Online] Retrieved from:. http://disc-nt.cba.uh.edu/chin/plsfaq.htm.
7. Chin W.W. A permutation procedure for multigroup comparison of PLS models. Proceedings of the PLS'03 International Symposium 2003, 33-43. (Lisbon). M. Valares, M. Tenenhaus, P. Coelho, V. Vinzi, A. Morineau (Eds.).
8. Chin W.W., Dibbern J. An introduction to a permutation based procedure for multi-group PLS analysis: Results of tests of differences on simulated data and a cross-cultural analysis of the sourcing of information system services between Germany and the USA. Handbook of partial least squares 2010, 171-193. Springer, Berlin, Heidelberg. V. Esposito Vinzi, W.W. Chin, J. Henseler, H. Wang (Eds.).
9. Cho S.E., Park K. Empirical taxonomy of services and service products in electronic commerce. Electronic Commerce Research and Applications 2002, 1(3-4):339-350.
10. Choi J., Geistfeld L.V. A cross-cultural investigation of consumer e-shopping adoption. Journal of Economic Psychology 2004, 25(6):821-838.
11. Cody-Allen E., Kishore R. An extension of the UTAUT model with e-quality, trust, and satisfaction constructs. Proceedings of the 2006 ACM SIGMIS CPR conference on computer personnel research: Forty four years of computer personnel research: Achievements, challenges & the future 2006, 82-89. ACM, New York, NY.
12. Cohen J. Statistical power analysis for the behavioral sciences 1988, Routledge, New York.
13. Davis F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 1989, 13(3):319-340.
14. Davis F.D., Bagozzi R.P., Warshaw P.R. Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology 1992, 22(14):1111-1132.
15. Dittmar H., Long K., Meek R. Buying on the Internet: Gender differences in on-line and conventional buying motivations. Sex Roles 2004, 50(5-6):423-444.
16. Fishbein M., Ajzen I. Belief, attitude, intention, and behavior: An introduction to theory and research 1975, Addison-Wesley, MA.
17. Fram E.H., Grady D.B. Internet buyers: Will the surfers become buyers?. Direct Marketing 1995, 58(6):63-65.
18. Ganesh J., Reynolds K.E., Luckett M., Pomirleanu N. Online shopper motivations, and e-store attributes: An examination of online patronage behavior and shopper typologies. Journal of Retailing 2010, 86(1):106-115.
19. Garbarino E., Strahilevitz M. Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation. Journal of Business Research 2004, 57(7):768-775.
20. Gefen D. E-commerce: The role of familiarity and trust. Omega 2000, 28(6):725-737.
21. Girard T., Dion P. Validating the search, experience, and credence product classification framework. Journal of Business Research 2010, 63(9-10):1079-1087.
22. Ha S., Stoel L. Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research 2009, 62(5):565-571.
23. Hasan B. Exploring gender differences in online shopping attitude. Computers in Human Behavior 2010, 26(4):597-601.
24. Henseler J., Fassott G. Testing moderating effects in PLS path models: An illustration of available procedures. Handbook of partial least squares 2010, 713-735. Springer, Berlin, Heidelberg. V. Esposito Vinzi, W.W. Chin, J. Henseler, H. Wang (Eds.).
25. Henseler J., Ringle C.M., Sinkovics R.R. The use of partial least squares path modeling in international marketing. Advances in International Marketing 2009, Vol. 20:277-319. Emerald Group Publishing, Bingley.
26. Ho C.H., Tuan T.H. Integrated unified theory of acceptance and use of technology model to explore the female factors with the intention of online shopping, online shopping behavior. 8th International Conference on Computing and Networking Technology (ICCNT) 2012, 296-300. (Gueongju).
27. Huh H.J., Kim T.T., Law R. A comparison of competing theoretical models for understanding acceptance behavior of information systems in upscale hotels. International Journal of Hospitality Management 2009, 28(1):121-134.
28. Hwang Y. The moderating effects of gender on e-commerce systems adoption factors: An empirical investigation. Computers in Human Behavior 2010, 26(6):1753-1760.
29. Keisidou E., Sarigiannidis L., Maditinos D. Consumer characteristics and their effect on accepting online shopping, in the context of different product types. International Journal of Business Science and Applied Management 2011, 6(2):31-51.
30. Kiang M.Y., Ye Q., Hao Y., Chen M., Li Y. A service-oriented analysis of online product classification methods. Decision Support Systems 2011, 52(1):28-39.
31. Kolsaker A., Payne C. Engendering trust in e-commerce: A study of gender-based concerns. Marketing Intelligence & Planning 2002, 20(4):206-214.
32. Kotler P., Armstrong G. Principles of marketing 2012, Prentice Hall, Cloth.
33. Laroche M., Bergeron J., Goutaland C. A three-dimensional scale of intangibility. Journal of Service Research 2001, 4(1):26-38.
34. Laroche M., Yang Z., McDougall G.H.G., Bergeron J. Internet versus bricks-and-mortar retailers: An investigation into intangibility and its consequences. Journal of Retailing 2005, 81(4):251-267.
35. Lian J.W., Lin T.M. Effects of consumer characteristics on their acceptance of online shopping: Comparisons among different product types. Computers in Human Behavior 2008, 24(1):48-65.
36. Limayem M., Hirt S.G., Cheung C.M.K. How habit limits the predictive power of intentions: The case of IS continuance. MIS Quarterly 2007, 31(4):705-737.
37. Lin W.B., Wang M.K., Hwang K.P. The combined model of influencing on-line consumer behavior. Expert Systems with Applications 2010, 37(4):3236-3247.
38. Liu X., Wei K.K. An empirical study of product differences in consumers' e-commerce adoption behavior. Electronic Commerce Research and Applications 2003, 2(3):229-239.
39. Moore G.C., Benbasat I. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research 1991, 2(3):192-222.
40. Morosan C., Jeong M. Users' perceptions of two types of hotel reservation web sites. International Journal of Hospitality Management 2008, 27(2):284-292.
41. ONTSI B2C e-Commerce 2011. Study of the B2C Electronic Commerce 2011 2012, ONTSI, Madrid.
42. Pavlou P.A. Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce 2003, 7(3):101-134.
43. Peterson R.A., Balasubramanian S., Bronnenberg B.J. Exploring the implications of the Internet for consumer marketing. Journal of the Academy of Marketing Science 1997, 25(4):329-346.
44. Qiu L., Li D. Applying TAM in B2C e-commerce research: An extended model. Tsinghua Science and Technology 2008, 13(3):265-272.
45. Ringle C.M., Wende S., Will A. SmartPLS 2.0 beta 2005, (Hamburg, Germany).
46. Rodgers S., Harris M.A. Gender and e-commerce: An exploratory study. Journal of Advertising Research 2003, 43(3):322-329.
47. Rogers E.M. Diffusion of innovations 1962, The Free Press. 1st ed.
48. Sarstedt M., Henseler J., Ringle C.M. Multigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results. Measurement and research methods in international marketing (Advances in international marketing) 2011, Vol. 22:195-218. Emerald Group Publishing Limited, Bingley.
49. Steenkamp J.B.E.M., Hofstede F.T. International market segmentation: Issues and perspectives. International Journal of Research in Marketing 2002, 19(3):185-213.
50. Taylor S., Todd P.A. Assessing IT usage: The role of prior experience. MIS Quarterly 1995, 19(2):561-570.
51. Teo T.S., Liu J. Consumer trust in e-commerce in the United States, Singapore and China. Omega 2007, 35(1):22-38.
52. Van Slyke C., Comunale C.L., Belanger F. Gender differences in perceptions of web-based shopping. Communications of the ACM 2002, 45(8):82-86.
53. Venkatesh V., Morris M.G., Davis G.B., Davis F.D. User acceptance of information technology: Toward a unified view. MIS Quarterly 2003, 27(3):425-478.
54. Venkatesh V., Thong J.Y.L., Xu X. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly 2012, 36(1):157-178.
55. Vijayasarathy L.R. Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information and Management 2004, 41(6):747-762.
56. Yu C.S. Factors affecting individuals to adopt mobile banking: Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research 2012, 13(2):104-121.