The Influence of Buyers’ Time Orientation on Online Shopping Behavior: A Typology

References

• Agarwal, A., and Tripathi, K. Temporal orientation and deprivation. Journal of Psychology Research, 24 (1980), 144–152.
   Google Scholar
• Ajzen, I. From intention to action: A theory of planned behavior. In J. Kuhl and J. Beckman (eds.), Action Control: From Cognitions to Behaviors. New York: Springer, 1985, pp. 11–39.
   Google Scholar
• Ajzen, I. The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 2 (1991), 179–211.
   Web of Science ®Google Scholar
• Ajzen, I. Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32 (2002), 665–683.
   Google Scholar
• Anthony. How to design content filters for better user browsing. http://uxmovement.com/navigation/how-to-design-content-filters-for-better-user-browsing/ (accessed on October 24, 2011).
   Google Scholar
• Arnold, M.J., and Reynolds, K.E. Hedonic shopping motivations. Journal of Retailing, 79, 2 (2003), 77–95.
   Web of Science ®Google Scholar
• Bandura, A. Human agency in social cognitive theory. American Psychologist, 44, 9 (1989), 1175–1184.
   PubMed Web of Science ®Google Scholar
• Bandura, A. Self-efficacy mechanism in human agency. American Psychologist, 37, 2 (1982), 122–147.
   Web of Science ®Google Scholar
• Bandura, A.; Adams, N.E.; and Beyer, J. Cognitive processes mediating behavioral change. Journal of Personality and Social Psychology, 35 (1977), 124–139.
   Google Scholar
• Baum, D., and Spann, M. The interplay between online consumer reviews and recommender systems: An experimental analysis. International Journal of Electronic Commerce, 19, 1 (2014), 129–162.
   Web of Science ®Google Scholar
• Beauchamp, M.B., and Ponder N. Perceptions of retail convenience for in-store and online shoppers. Marketing Management Journal, 20, 1 (2010), 49–65.
   Google Scholar
• Benevenuto, F.; Rodrigues, T.; Cha, M.; and Almeida, V. Characterizing user navigation and interactions in online social networks. Information Sciences, 195 (2012), 1–24.
   Google Scholar
• Bergadaà, M. The role of time in the action of the consumer. Journal of Consumer Resarch, 17, 3 (1990), 289–302.
   Web of Science ®Google Scholar
• Blank, G., and Dutton, W.H. Age and trust in the Internet: The centrality of experience and attitudes toward technology in Britain. Social Science Computer Review, 30, 2 (2012), 135–151.
   Web of Science ®Google Scholar
• Blázquez, M. Fashion shopping in multichannel retail: The role of technology in enhancing the customer experience. International Journal of Electronic Commerce, 18, 4 (2014), 97–116.
   Web of Science ®Google Scholar
• Bloch, P., and Richins, M. Shopping without purchase: An investigation of consumer behavior. Advances in Consumer Research, 10, (1983), 389–393.
   Google Scholar
• Bouder-Pailler, D. Exploration of the consumer conception of time on the Internet use: Empirical test, application to book purchase. In Proceedings of the International Conference on Time and Management. Sicily, Italy: ISIDA, Palerme, (2000), pp. 25–38.
   Google Scholar
• Brandtzaeg, P.B. Towards a unified media-user typology (MUT): A meta-analysis and review of the research literature on media-user typologies. Computers in Human Behavior, 26, 5 (2010), 940–956.
   Web of Science ®Google Scholar
• Bryant, W.K. Durables and wives’ employment yet again. Journal of Consumer Research, 15 (1988), 37–47.
   Google Scholar
• Bryant, W.K., and Yan, W. American consumption patterns and the price of time: a time-series analysis. Journal of Consumer Affairs, 24 (1990), 280–306.
   Google Scholar
• Chak, K., and Leung, L. Shyness and locus of control as predictors of Internet addiction and Internet use. CyberPsychology and Behavior, 7, 5 (2004), 559–570.
   PubMedGoogle Scholar
• Chan, D.W. Dimensionality and adjustment correlates of locus of control among Hong Kong Chinese. Journal of Personality, 53 (1989), 145–160.
   Google Scholar
• Child, J., and Tse, D.K. China’s transition and its implications for international business. Journal of International Business Study, 32, 1 (2001), 5–21.
   Web of Science ®Google Scholar
• Choi, J., and Geistfeld, L.V. A cross-cultural investigation of consumer e-shopping adoption. Journal of Economic Psychology, 25, 6 (2004), 821–838.
   Web of Science ®Google Scholar
• CNNIC. China Internet Network Information Center. The 36th statistical report on Internet development in China. CNNIC (July 2015), 1–55. http://www1.cnnic.cn/IDR/ReportDownloads/201601/P020160106496544403584.pdf ( accessed July 2015).
   Google Scholar
• Cotte, J., and Ratneshwar, S. Choosing leisure services: The effects of consumer timestyle. Journal of Services Marketing, 17, 6/7 (2003), 558–572.
   Google Scholar
• Cotte, J.; Ratneshwar, S.; and Mick, D.G. The times of their lives: Phenomenological and metaphorical characteristics of consumer timestyles. Journal of Consumer Research, 31, 2 (2004), 333–345.
   Web of Science ®Google Scholar
• Cox, A.D.; Cox, D.; and Anderson, R.D. Reassessing the pleasures of store shopping. Journal of Business Research, 58, 3 (2005), 250–259.
   Web of Science ®Google Scholar
• De Volder, M.L., and Lens, W. Academic achievement and future time perspective as a cognitive-motivational concept. Journal of Personality and Social Psychology, 42, 3 (1982), 566–571.
   Web of Science ®Google Scholar
• Del Bosque, I.; Rodrıguez, A.; and Crespo, H. How do Internet surfers become online buyers? An integrative model of e-commerce acceptance. Behaviour and Information Technology, 30, 2 (2011), 161–180.
   Web of Science ®Google Scholar
• Dillman, D.A. Mail and Telephone Surveys: The Total Design Method. New York: Wiley, 1978.
   Google Scholar
• Elliott, R., and Yannopoulou, N. The nature of trust in brands: A psychosocial model. European Journal of Marketing, 41, 9/10 (2007), 988–998.
   Web of Science ®Google Scholar
• Fishbein, M.A., and Ajzen, I. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley, 1975.
   Google Scholar
• Feldman, L.P., and Hornik, J. The use of time: An integrated conceptual model. Journal of Consumer Research, 1 (1981), 407–419.
   Google Scholar
• Fornell, C., and Larcker, D.F. Evaluating structural equation with unobservable and measurement error. Journal of Marketing Research, 18, 1 (1981), 39–50.
   Web of Science ®Google Scholar
• Gounaris, S.P. Trust and commitment influences on customer retention: Insights from business-to-business services. Journal of Business Research, 58 (2005),126–140.
   Google Scholar
• Graham, R.J. The role of perception of time in consumer research. Journal of Consumer Research, 7, 4 (1981), 335–342.
   Web of Science ®Google Scholar
• Hair, J.F.; Black, W.C.; Babin, B.J.; Anderson, R.E.; and Tatham, R.L. Multivariate Data Analysis. 6th ed. New York: Pearson Prentice Hall, 2006.
   Google Scholar
• Hall, E.T. Beyond Culture. Garden City, NY: Doubleday and Company, 1976.
   Google Scholar
• Hall, E.T. The Dance of Life. New York: Anchor Press-Doubleday, 1983.
   Google Scholar
• Hall, E.T. The Silent Language. New York: Doubleday, 1959.
   Google Scholar
• Hamid P.N. Self-monitoring, locus of control, and social encounters of Chinese and New Zealand students. Journal of Cross-Cultural Psychology, 25, 3 (1994), 353–368.
   Web of Science ®Google Scholar
• Hassanein, K., and Head, M. Manipulating perceived social presence through the Web interface and its impact on attitude towards online shopping. International Journal of Human–Computer Studies, 65, 8 (2007), 689–708.
   Web of Science ®Google Scholar
• Hassanein, K., and Head, M. The impact of infusing social presence in the Web interface: An investigation across product types. International Journal of Electronic Commerce, 10, 2 (2005–2006), 31–55.
   Web of Science ®Google Scholar
• Hirschman, E.C. Theoretical perspectives of time use: Implications for consumer research. Research in Consumer Behavior, 2 (1987), 55–81.
   Google Scholar
• Hoffman, D.; Novak, T.; and Schlosser, A. Locus of control, Web use, and consumer attitudes toward Internet regulation. Journal of Public Policy and Marketing, 22, 1 (2003), 41–57.
   Web of Science ®Google Scholar
• Hoffman, D.; Novak, T.P.; and Schlosser, A.E. Locus of control, Web use, and consumer attitudes toward Internet regulation. Journal of Public Policy and Marketing, 22, 1 (2002), 41–57.
   Web of Science ®Google Scholar
• Hofstede, G. Value Survey Module 1994 Manual. Maastricht, The Netherlands: IRIC, University of Tilburg, 1994.
   Google Scholar
• Hui, C.H. Locus of control: A review of cross-cultural research. International Journal of Intercultural Relations, 6 (1982), 301–323.
   Google Scholar
• IMI. Consumer Behaviors and Life Patterns Yearbook, 2004–2005. Beijing, China: Beijing Broadcasting Institute Press, 2003.
   Google Scholar
• Ingham, J.; Cadieux, J.;, and Mekki Berrada, A. E-Shopping acceptance: A qualitative and meta-analytic review. Information and Management, 52, 1 (2015), 44–60.
   Web of Science ®Google Scholar
• Jarillo, J. On strategic networks. Strategic Management Journal, 9, 1 (1988), 31–41.
   Web of Science ®Google Scholar
• Jarvenpaa, S.L.; Tractinsky, N.; and Saarinen, L. Consumer trust in an Internet store: A cross-cultural validation. Journal of Computer Mediated Communication, 5, 2 (1999). http://onlinelibrary.wiley.com/doi/10.1111/j.1083-6101.1999.tb00337.x/full (accessed on December 1999).
   Google Scholar
• Javidan, M., and House, R.J. Leadership and culture around the world: Findings from GLOBE. Journal of World Business, 37, 1 (2002), 1–2.
   Web of Science ®Google Scholar
• Källmén, H. Manifest anxiety, general self-efficacy and locus of control as determinants of personal and general risk perception. Journal of Risk Research, 3, 2 (2000), 111–120.
   Google Scholar
• Kamis, A. Search strategies in shopping engines: An experimental investigation. International Journal of Electronic Commerce, 11, 1 ( Fall 2006), 63–84.
   Web of Science ®Google Scholar
• Kaufman, C.F.; Lane, P.M.; and Lindquist, J.D. Exploring more than 24 hours a day: A preliminary investigation of polychronic time use. Journal of Consumer Research, 18 (1991), 392–401.
   Web of Science ®Google Scholar
• Kim, D.J. A study of the multilevel and dynamic nature of trust in e-commerce from a cross-stage perspective. International Journal of Electronic Commerce, 19, 1 (2014), 11–64.
   Web of Science ®Google Scholar
• Kleijnen, M.; de Ruyter, K.; and Wetzels, M. An assessment of value creation in mobile service delivery and the moderating role of time consciousness. Journal of Retailing, 83, 1, (2007), 33–46.
   Web of Science ®Google Scholar
• Klukhohn, F.R., and Strodbeck, F.L. Variations in Value Orientation. Evanston, IL: Row Peterson, 1961.
   Google Scholar
• Ku, Y.C.; Chu, T.H.; and Tseng, C.H. Gratifications for using CMC technologies: A comparison among SNS, IM, and e-mail. Computers in Human Behavior, 29, 1 (2013), 226–234.
   Web of Science ®Google Scholar
• Lam, D., and Mizerski, D. The effects of locus of control on word-of-mouth communication. Journal of Marketing Communications, 11, 3 (2005), 215–228.
   Google Scholar
• Lane, P.M., and Lindquist, J.D. What is time: An empirical investigation, developments in marketing science. Academy of Marketing Science, 12 (1989), 93–98.
   Google Scholar
• Lasane, T.P., and O’Donnell, D.A. Time orientation measurement: A conceptual approach. In A. Strathman and J. Joireman (eds.), Understanding Behavior in the Context of Time: Theory, Research, and Application. Mahwah, NJ: Lawrence Erlbaum, 2005, pp. 11–30.
   Google Scholar
• Lee, J.-W. The roles of demographics on the perceptions of electronic commerce adoption. Academy of Marketing Studies Journal, 14, 1 (2010), 71–90.
   Google Scholar
• Lee, D.W.; Kauffman, R.J.; and Bergen, M.E. Image effects and rational inattention in Internet-based selling. International Journal of Electronic Commerce, 13, 4 (2009), 127–166.
   Web of Science ®Google Scholar
• Lee, E.-J., and Park, J. Enhancing virtual presence in e-tail: Dynamics of cue multiplicity. International Journal of Electronic Commerce, 18, 4, (2014), 117–146.
   Web of Science ®Google Scholar
• Lee, H. Time and Information technology: Monochronicity, polychronicity and temporal symmetry. European Journal of Information Systems, 8, 1 (1999), 16–26.
   Web of Science ®Google Scholar
• Lee, H., and Whitley, E.A. Time and information technology: Temporal impacts on individuals, organizations, and society. Information Society, 18, 4 (2002), 235–240.
   Web of Science ®Google Scholar
• Lee, M.C. Understanding the behavioural intention to play online games: An extension of the theory of planned behavior. Online Information Review, 33, 5 (2009), 849–872.
   Web of Science ®Google Scholar
• Lee, M. Predicting and explaining the adoption of online trading: an empirical study in Taiwan. Decision Support Systems, 47, 2 (2009), 133–142.
   Web of Science ®Google Scholar
• Lee-Kelly, L. Locus of control and attitudes to working in virtual teams. International Journal of Project Management, 24, 3 (2006), 234–243.
   Google Scholar
• Lens, W. Future time perspective: A cognitive-motivational concept. In D.R. Brown and J. Veroff (eds.), Frontiers of Motivational Psychology. New York: Springer, 1986, pp. 173–190.
   Google Scholar
• Lens, W., and Gally, A. Extension of future time perspective in motivational goals of different age groups. International Journal of Business Development, 3, 1 (1980), 1–7.
   Web of Science ®Google Scholar
• Li, D.H.; Browne, G.J.; and Wetherbe, J.C. Why do Internet users stick with a specific Web site? A relationship perspective. International Journal of Electronic Commerce, 10, 4 (2006), 105–141.
   Web of Science ®Google Scholar
• Liang, T-P.; Ho, Y-T.; Li, Y-W.; and Turban, E. What drives social commerce: The role of social support and relationship quality. International Journal of Electronic Commerce, 16, 2 (2011–12), 69–90.
   Web of Science ®Google Scholar
• Livingstone, S., and Helsper, E. Gradations in digital inclusion: Children, young people and the digital divide. New Media and Society, 9, 4 (2007), 671–696.
   Web of Science ®Google Scholar
• Locke, E.A.; Frederick, E.; Lee, C.; and Bobko, P. The effect of self-efficacy, goals, and task strategies on task performance. Journal of Applied Psychology, 69 (1984), 241–251.
   Web of Science ®Google Scholar
• Mantymaki, M., and Riemer, K. Digital natives in social virtual worlds: A multi-method study of gratifications and social influences in Habbo Hotel. International Journal of Information Management, 34, 2 (2014), 210–220.
   Web of Science ®Google Scholar
• McDonald, W.J. Time use in shopping: The role of personal characteristics. Journal of Retailing, 70, 4 (1994), 345–365.
   Web of Science ®Google Scholar
• McGrath, J.E., and Rotchford, N. Time and behavior in organizations. Research in Organizational Behavior, 5 (1983), 57–101.
   Google Scholar
• McGrath, J.E., and Kelly, J.R. Time and Human Interaction: Toward a Social Psychology of Time. New York: Guilford Press, 1986.
   Google Scholar
• Murnane, K. How Older and Younger Millennials Differ in Their Approach to Online Privacy and Security, http://www.forbes.com/sites/kevinmurnane/2016/04/13/how-older-and-younger-millennials-differ-in-their-approach-to-online-privacy-and-security/#3f9ba6abcb19 (accessed on April 13 2016).
   Google Scholar
• Murray, C.; Fox, J.; and Pettifer, S. Absorption, dissociation, locus of control and presence in virtual reality. Computers in Human Behavior, 23, 3 (2007), 1347–1354.
   Web of Science ®Google Scholar
• Nelson, P.J. Advertising as information. Journal of Political Economy, 82, 4 (1974), 729–754.
   Web of Science ®Google Scholar
• Nielsen Global E-commerce Report. E-commerce: Evolution or Revolution in the Fastmoving Consumer Goods World? Nielsen Company, August 2014.
   Google Scholar
• Nunnally, J.C. Psychometric Theory. New York: McGraw-Hill, 1978.
   Google Scholar
• Nurmi, J. Thinking about and acting upon the future: Development of future orientation across the life span. In A. Strathman and J. Joireman (eds.), Understanding Behavior in the Context of Time: Theory, Research, and Application. Hillsdale, NJ: Erlbaum, 2005, pp. 31–57.
   Google Scholar
• Nuttin, J. Future Time Perspective and Motivation. Hillsdale, NJ: Erlbaum, 1985.
   Google Scholar
• Park, E.J.; Kim, E.Y.; Funches, V.M.; and Foxx, W. Apparel product attributes, Web browsing, and e-impulse buying on shopping websites. Journal of Business Research, 65 (2012), 1583–1589.
   Web of Science ®Google Scholar
• Pavlou, P.A. Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7, 3 (2003), 101–134.
   Web of Science ®Google Scholar
• Pavlou, P.A., and Fygenson, M. Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30, 1 (2006), 115–143.
   Web of Science ®Google Scholar
• Peetsma, T., and van der Veen, I. Relations between the development of future time perspective in three life domains, investment in learning, and academic achievement. Learning and Instruction, 21, 3 (2011), 481–494.
   Web of Science ®Google Scholar
• Podsakoff, P.M.; MacKenzie, S.B.; Lee, J.Y.; and Podsakoff, N.P. Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 5 (2003), 879–903.
   PubMed Web of Science ®Google Scholar
• Podsakoff, P.M., and Organ, D.W. Self-reports in organizational research: Problems and prospects. Journal of Management, 12, 4 (1986), 531–545.
   Web of Science ®Google Scholar
• Rotter, J.B. Generalized expectancies for internal versus external control of reinforcement. Psychological Monographs: General and Applied, 80, 1 (1966), 1–28.
   Google Scholar
• Rotter, J.B., and Mulray, R.C. Internal versus external control of reinforcement and decision time. Journal of Personality and Social Psychology, 2, 4 (1965), 598–604.
   PubMed Web of Science ®Google Scholar
• Sen, R. Optimal search engine marketing strategy. International Journal of Electronic Commerce, 10, 1 (2005), 9–25.
   Web of Science ®Google Scholar
• Settle, B.; Alreck, P.L.; and Glasheen, J.W. Individual time orientation and consumer life style. In K. Hunt (ed.), Advances in Consumer Research. Vol. 5. Ann Arbor, MI: Association for Consumer Research, 1978, pp. 315–319.
   Google Scholar
• Shin, S.K.; Ishman, M.; and Sanders, G.L. An empirical investigation of socio-cultural factors of information sharing in China. Information and Management, 44, 2 (2007), 165–174.
   Web of Science ®Google Scholar
• Shiraev, E., and Levy, D. Cross-Cultural Psychology: Critical Thinking and Contemporary Applications. 2nd ed. Boston: Pearson, 2004.
   Google Scholar
• Shun, C., and Xu, Y.J.C. Designing not just for pleasure: Effects of web site aesthetics on consumer shopping value. International Journal of Electronic Commerce, 15, 4 (2011), 159–188.
   Web of Science ®Google Scholar
• Spector, P.E. Development of the work locus of control scale. Journal of Occupational Psychology, 61, 4 (1988), 335–340.
   Web of Science ®Google Scholar
• Swinyard, W.R., and Smith, S.M. Why people (don’t) shop online: A lifestyle study of Internet consumer. Psychology and Marketing, 20, 7 (2003), 567–597.
   Web of Science ®Google Scholar
• Taylor, J.W. The role of risk in consumer behavior. Journal of Marketing, 38 (1994), 54–60.
   Google Scholar
• Umesh, U.N.; Pettit, K.L.; and Bozman, C.S. Shopping model of the time-sensitive consumer. Decision Sciences, 20 (1989), 715–729.
   Google Scholar
• Usunier, J-C., and Valette-Florence, P. Perceptual time patterns “time-style”: A psychometric scale. Time and Society, 3, 2 (1994), 219–241.
   Google Scholar
• Van Everdingen, Y.M., and Waarts, E. The effect of national culture on the adoption of innovations. Marketing Letters, 14, 3 (2003), 217–232.
   Web of Science ®Google Scholar
• Wang, E.S-T. The effects of browsing frequency and gender on the relationship between perceived control and patronage intentions in e-tail. International Journal of Electronic Consumer, 14, 3 (2010), 129–144.
   Web of Science ®Google Scholar
• Wen, C.; Xu, V.R.; and Prybutok, C. An integrated model for customer online repurchase intention. Journal of Computer Information Systems, 52 (2011), 14–23.
   Google Scholar
• Xu-Priour, D.L.; Cliquet, G.; and Fu, G.Q. The combined influence of time pressure and time orientation on consumers’ channel selection: Evidence from China. International Review of Retail, Distribution and Consumer Research, 22, 5 (2012), 529–546.
   Google Scholar
• Xu-Priour, D.L., Trong, Y., and Klink, R.R. The effects of collectivism and polychronic time orientation on online social interaction and shopping behavior: A comparative study between China and France. Technological Forecasting & Social Change, 88 (2014), 265–275.
   Web of Science ®Google Scholar
• Zerubavel, E. Hidden Rhythms: Schedules and Calendars in Social Life. Chicago: University of Chicago Press, 1981.
   Google Scholar
• Zhang, J. The effect of advertising appeals in activating self-controls: A case of bicultural Chinese Generation X consumers. Journal of Adverting, 38, 1 (2009), 63–81.
   Web of Science ®Google Scholar
• Zillien, N., and Hargittai, E. Digital distinction: Status-specific Internet uses. Social Science Quarterly, 90, 2 (2009), 274–291.
   Web of Science ®Google Scholar
• Zimbardo, P.G., and Boyd, J.N. Putting time in perspective: A valid, reliable individual-differences metric. Journal of Personality and Social Psychology, 77, 6 (1999), 1271–1288.
   Web of Science ®Google Scholar