Gender differs: assessing a model of online purchase intentions in e‐tail service

Emerald - Tập 16 Số 5 - Trang 416-435 - 2005
Yu‐BinChiu1, Chieh‐PengLin2, Ling‐LangTang3
1Graduate School of Management, Yuan Ze University, Taoyuan, Taiwan, ROC Department of Management Information System, Chung‐Kuo Institute of Technology College, Taipei, Taiwan, ROC
2Department of Business Administration, Vanung University, Taoyuan, Taiwan, ROC
3Graduate School of Management, Yuan Ze University, Taoyuan, Taiwan, ROC

Tóm tắt

PurposeThis study proposes a model of online purchase intentions. Four exogenous constructs – namely, personal awareness of security, personal innovativeness, perceived ease of purchasing, and perceived usefulness – have not only direct influences on attitudes and online purchase intentions, but also have indirect influences on online purchase intentions through the mediation of attitudes.Design/methodology/approachData were collected via questionnaires from customers of the leading internet service provider (ISP) in Taiwan. Structural equation modeling (SEM) was used to examine the model.FindingsThe influences of personal innovativeness and perceived usefulness on attitudes and online purchase intentions are similar for males and females. The influences of personal awareness of security on both attitudes and online purchase intentions are strong for males, while no such effects exist for females. The influences of perceived ease of purchasing on both attitudes and online purchase intentions are stronger for females than for males.Research limitations/implicationsThere are several limitations. For example, there may exist common method variance, and the generalisability of the findings might be limited. Besides, this study is using only one product category, and customers' online purchase intentions may be only partially reflected due to the investigation of self‐reports.Practical implicationsBy learning gender differences, e‐tailers and advertisers can better target right consumers and consequently foster more positive attitudes and online purchase intentions.Originality/valueThis study presents a thorough understanding on a model of online purchase intentions, and how gender moderates several paths of the model.

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Tài liệu tham khảo

Adams, D.A., Nelson, R.R. and Todd, P.A. (1992), “Perceived usefulness, ease of use, and usage of information technology: a replication”, MIS Quarterly, Vol. 16 No. 2, pp. 227‐50.

Agarwal, R. and Karahanna, E. (2000), “Time flies when you're having fun: cognitive absorption and beliefs about information technology usage”, MIS Quarterly, Vol. 24 No. 4, pp. 665‐94.

Ajzen, I. (1985), “From intentions to actions: a theory of planned behavior”, in Kuhl, J. and Beckmann, J. (Eds), Action Control: From Cognition to Behavior, Springer‐Verlag, New York, NY, pp. 11‐39.

Anderson, J.C. and Gerbing, D.W. (1988), “Structural equation modeling in practice: a review and recommended two‐step approach”, Psychological Bulletin, Vol. 103 No. 3, pp. 411‐23.

Anderson, E.W. and Sullivan, M.W. (1993), “The antecedents and consequences of customer satisfaction for firms”, Marketing Science, Vol. 12 No. 2, pp. 125‐43.

Bem, S.L. (1981), “The BSRI and gender schema theory: a reply to Spence and Helmreich”, Psychological Review, Vol. 88 No. 3, pp. 369‐71.

Bertsch, T., Busbin, J. and Wright, N. (2002), “Gaining competitive advantage in e‐tailing through marketing management and value‐added uses of technology”, Competitiveness Review, Vol. 12 No. 2, pp. 49‐56.

Bobbit, L.M. and Dabholkar, P.A. (2001), “Integrating attitudinal theories to understand and predict use of technology‐based self‐service”, International Journal of Service Industry Management, Vol. 12 No. 5, pp. 423‐50.

Byrne, B.M. (2001), Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, Lawrence Erlbaum Associates, New Jersey, NJ.

Citrin, A.V., Sprott, D.E., Silverman, S.N. and Stem, D.E. Jr (2000), “Adoption of internet shopping: the role of consumer innovativeness”, Industrial Management+Data Systems, Vol. 100 No. 7, pp. 294‐5.

Cole, D.A., Maxwell, S.E., Arvey, R. and Salas, E. (1993), “Multivariate group comparisons of variable systems: MANOVA and structural equation modeling”, Psychological Bulletin, Vol. 114 No. 1, pp. 174‐84.

Costa, J.A. (1994), Gender Issues and Consumer Behavior, Sage, London.

Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989), “User acceptance of computer technology: a comparison of two theoretical models”, Management Science, Vol. 35 No. 8, pp. 982‐1003.

Fischer, E. and Arnold, S.J. (1994), “Sex, gender identity, gender role attitudes and consumer behavior”, Psychology and Marketing, Vol. 11 No. 2, pp. 163‐82.

Fishbein, M. and Ajzen, I. (1975), Beliefs, Attitude, Intention, and Behavior, Addison‐Wesley, Reading, MA.

Fornell, C. and Larcker, D.F. (1981), “Evaluating structural equation models with unobservable variables and measurement error”, Journal of Marketing Research, Vol. 18 No. 1, pp. 39‐50.

Gefen, D. and Straub, D.W. (1997), “Gender differences in the perception and use of e‐mail: an extension to the technology acceptance model”, MIS Quarterly, Vol. 21 No. 4, pp. 389‐400.

Gilligan, C. (1982), In a Different Voice: Psychological Theory and Women's Development, Harvard University Press, Cambridge, MA.

Goldsmith, R.E. (2002), “Explaining and predicting consumer intention to purchase over the internet: an exploratory study”, Journal of Marketing Theory and Practice, Vol. 10 No. 1, pp. 22‐8.

Goldsmith, R.E., Stith, M.T. and White, J.D. (1987), “Race and sex differences in self‐identified innovativeness”, Journal of Retailing, Vol. 63 No. 4, pp. 411‐25.

Harrison, A.W. and Rainer, R.K. Jr (1992), “The influence of individual differences on skill in end‐user computing”, Journal of Management Information Systems, Vol. 9 No. 1, pp. 93‐111.

Hatcher, L. (1994), A Step‐by‐Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling, SAS Institute Inc., Cary, NC.

Hirschman, E.C. (1980), “Innovativeness, novelty seeking, and consumer creativity”, Journal of Consumer Research, Vol. 7 No. 3, pp. 283‐95.

Hofstede, G. (1980), Culture's Consequences: International Differences in Work Related Values, Sage, London.

Holbrook, M.B. (1986), “Aims, concepts and methods for the representation of individual differences in aesthetic response to design features”, Journal of Consumer Research, Vol. 13 No. 3, pp. 337‐47.

Igbaria, M. and Chakrabarti, A. (1990), “Computer anxiety and attitudes toward microcomputer use”, Behaviour and Information Technology, Vol. 9 No. 3, pp. 229‐41.

Janda, S., Trocchia, P.J. and Gwinner, K.P. (2002), “Consumer perceptions of internet retail service quality”, International Journal of Service Industry Management, Vol. 13 No. 5, pp. 412‐31.

Jöreskog, K.G. and Sorbom, D. (1986), LISREL VI: Analysis of Linear Structural Relationships by Maximum Likelihood, Instrumental Variables, and Least Squares Methods, 4th ed., Scientific Software, Mooresville, IN.

Kim, Y.M. and Shim, K.Y. (2002), “The influence of internet shopping mall characteristics and user traits on purchase intent”, Irish Marketing Review, Vol. 15 No. 2, pp. 25‐34.

Koufaris, M. (2002), “Applying the technology acceptance model and flow theory to online consumer behavior”, Information Systems Research, Vol. 13 No. 2, pp. 205‐23.

McKnight, D.H., Choudhury, V. and Kacmar, C. (2002), “Developing and validating trust measures for e‐commerce: an integrative typology”, Information Systems Research, Vol. 13 No. 3, pp. 334‐59.

Mathieson, K. (1991), “Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior”, Information Systems Research, Vol. 2 No. 2, pp. 173‐91.

Meyers‐Levy, J. (1988), “The influence of sex roles on judgment”, Journal of Consumer Research, Vol. 14 No. 4, pp. 522‐30.

Meyers‐Levy, J. (1989), “Priming effects on product judgments: a hemispheric interpretation”, Journal of Consumer Research, Vol. 16 No. 1, pp. 76‐86.

Meyers‐Levy, J. and Sternthal, B. (1991), “Gender differences in the use of message cues and judgments”, Journal of Marketing Research, Vol. 28 No. 1, pp. 84‐96.

Moutinho, L. and Goode, M. (1995), “Gender effects to the formation of overall product satisfaction: a multivariate approach”, Journal of International Consumer Marketing, Vol. 8 No. 1, pp. 71‐91.

Nunally, C. (1967), Psychometric Theory, McGraw‐Hill, New York, NY.

Oumil, A.B. and Erdem, O. (1997), “Self‐concept by gender: a focus on male‐female consumers”, Journal of Marketing Theory and Practice, Vol. 5 No. 1, pp. 7‐14.

Palmer, A. and Bejou, D. (1995), “The effects of gender on the development of relationships between clients and financial advisers”, The International Journal of Bank Marketing, Vol. 13 No. 3, pp. 18‐27.

Rierdan, J., Koff, E. and Heller, H. (1982), “Gender, anxiety, and human figure drawings”, Journal of Personality Assessment, Vol. 46 No. 6, pp. 594‐6.

Salisbury, W.D., Pearson, R.A., Pearson, A.W. and Miller, D.W. (2001), “Perceived security and world wide web purchase intention”, Industrial Management & Data Systems, Vol. 101 Nos 3/4, pp. 165‐76.

Schlosser, A.E. (2003), “Experiencing products in the virtual world: the role of goal and imagery in influencing attitudes versus purchase intentions”, Journal of Consumer Research, Vol. 30 No. 2, pp. 184‐98.

Singh, J. (1995), “Measurement issues in cross‐national research”, Journal of International Business Studies, Vol. 26 No. 3, pp. 597‐619.

Straits Times (1996), “Finding out who surfs the internet is their business”, Straits Times, 12 November.

Szajna, B. (1996), “Empirical evaluation of the revised technology acceptance model”, Management Science, Vol. 42 No. 1, pp. 85‐92.

Taylor, S. and Todd, P.A. (1995a), “Understanding information technology usage: a test of competing models”, Information Systems Research, Vol. 6 No. 2, pp. 144‐77.

Taylor, S. and Todd, P.A. (1995b), “Decomposition of cross effects in the theory of planned behavior: a study of consumer adoption intentions”, International Journal of Research in Marketing, Vol. 12 No. 2, pp. 137‐55.

Taylor, S. and Todd, P.A. (1995c), “Assessing IT usage: the role of prior experience”, MIS Quarterly, Vol. 19 No. 4, pp. 561‐70.

Teo, T.S.H. (2001), “Demographic and motivation variables associated with internet usage activities”, Internet Research, Vol. 11 No. 2, pp. 125‐37.

Van Riel, C.R., Liljander, V. and Jurriëns, P. (2001), “Exploring consumer evaluations of e‐services: a portal site”, International Journal of Service Industry Management, Vol. 12 Nos 3/4, pp. 359‐77.

Venkatesh, V. and Davis, F.D. (1996), “A model of the antecedents of perceived ease of use: development and test”, Decision Science, Vol. 27 No. 3, pp. 451‐79.

Venkatesh, V. and Morris, M.G. (2000), “Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior”, MIS Quarterly, Vol. 24 No. 1, pp. 115‐39.

Yang, Z. and Jun, M. (2002), “Consumer perception of e‐service quality: from internet purchaser and non‐purchaser perspectives”, Journal of Business Strategies, Vol. 19 No. 1, pp. 19‐41.

Gilroy, F.D. and Desai, H.B. (1986), “Computer anxiety: sex, race and age”, International Journal of Man‐Machine Studies, Vol. 25 No. 6, pp. 711‐9.

Goldsmith, R.E. and Goldsmith, E.B. (2002), “Buying apparel over the internet”, The Journal of Product & Brand Management, Vol. 11 Nos 2/3, pp. 89‐100.

Hofstede, G. (1991), Culture and Organizations, McGraw‐Hill, New York, NY.

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Emerald

Tập 16 Số 5

416-435

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