Abstract
The proliferation of mobile devices has made mobile shopping extremely popular among the digital natives. Due to the multitasking nature of mobile devices, users are often disturbed by various interruptions, such as incoming calls, SMSs and APP notifications. Prior studies suggest that interruptions likely affect users’ shopping experience and decision-making, but they find inconclusive results regarding how interruptions influence users’ behavior. Based on the flow theory and prior research on human–computer interaction, this study focuses on the interplay between the design of interruptions and human–computer interaction mode, and examines the effects of interruptions on users’ decision efficiency in a mobile shopping context. Three laboratory experiments were conducted to verify the research hypotheses. The results show that interruptions improve users’ decision efficiency and satisfaction when their content is irrelevant to users’ shopping task. When the content of interruptions is relevant to users’ shopping task, the interruptions reduce users’ decision efficiency. Furthermore, the interruptions reduce (improve) users’ decision efficiency when users browsed the mobile interface in a horizontal (vertical) manner. In general, this study makes one of the early attempts to investigate the effects of interruptions on users’ mobile shopping behavior and provides practical guidance for practitioners to design effective mobile marketing campaigns.
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References
Ayob, N. Z. B. (2009). Three layers design guideline for mobile application. In 2009 international conference on information management and engineering, proceedings.
Baron, J. B., et al. (1973). Correlations between working of sensori-motor systems of labyrinthic origin and oculomotor setting displacements of center of gravity concerning body of man in orthostatism. Agressologie,14, 79–86.
Bernard, M., et al. (2002). Paging vs. scrolling: Examining ways to present search results. Proceedings of the Human Factors and Ergonomics Society Annual Meeting,46(14), 1296–1299.
Bettman, J. R., & Zins, M. A. (1979). Information format and choice task effects in decision making. The Journal of Consumer Research,6(2), 141–153.
Chang, H. H., Wong, K. H., & Ho, P. W. (2019). The determinants of trust transfer on mobile shopping decision: Flow experience as a moderator. International Journal of Mobile Communications,17(2), 213–248.
Chen, H., Wigand, R. T., & Nilan, M. S. (1999). Optimal experience of web activities. Computers in Human Behavior,15(5), 585–608.
Coraggio, L. (1990). Deleterious effects of intermittent interruptions on the task performance of knowledge workers: A laboratory investigation.
Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. Jossey-bass.
Csikszentmihalyi, M. (1994). The evolving self: A psychology for the third millennium.
Csikszentmihalyi, M., & Lefevre, J. (1989). Optimal experience in work and leisure. Journal of Personality and Social Psychology,56(5), 815–822.
Csíkszentmihályi, M. (1990). 1990. Flow. The Psychology of Optimal Experience.
Galluch, P. S., Grover, V., & Thatcher, J. B. (2015). Interrupting the workplace: Examining stressors in an information technology context. Journal of the Association for Information Systems, 16(1), 1–47.
Groß, M. (2015). Mobile shopping: A classification framework and literature review. International Journal of Retail & Distribution Management,43(3), 221–241.
Hix, D., & Hartson, H. R. (1993). Developing user interfaces: Ensuring usability through product and process. Wiley.
Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing,60(3), 50–68.
Hoffman, D. L., & Novak, T. P. (2009). Flow online: Lessons learned and future prospects. Journal of Interactive Marketing,23(1), 23–34.
Hong, W., Thong, J. Y. L., & Tam, K. Y. (2004). The effects of information format and shopping task on consumers’ online shopping behavior: A cognitive fit perspective. Journal of Management Information Systems,21(3), 149–184.
Horibe, S., Lee, J. K., & Laird, C. (1984). Effect of test interruption on cyclic behavior in Al–Cu single-crystals containing shearable precipitates. Materials Science and Engineering,63(2), 257–265.
Huang, M. X. W. (2019). Is mobile shopping faster? The compatibility of decision scenarios and thinking patterns. Acta Psychologica Sinica,51(05), 612–624.
Iqbal, S. T., & Bailey, B. P. (2010). Oasis: A framework for linking notification delivery to the perceptual structure of goal-directed tasks. ACM Transactions on Computer-Human Interaction, 17(4), 1–28.
Javadi, M. H. M., et al. (2012). An analysis of factors affecting on online shopping behavior of consumers. International Journal of Marketing Studies,4(5), 81.
Jenkins, J. L., et al. (2016). More harm than good? How messages that Interrupt can make us vulnerable. Information Systems Research, 27(4), 880–896.
Kooti, F. (2015). Evolution of conversations in the age of email overload. In Proceedings of the 24th international conference on world wide web (Www 2015) (pp. 603–613).
Kupor, D. M., & Tormala, Z. L. (2015). Persuasion, interrupted: The effect of momentary interruptions on message processing and persuasion. Journal of Consumer Research, 42(2), 300–315.
Leroy, S., & Glomb, T. M. (2018). Tasks interrupted: How anticipating time pressure on resumption of an interrupted task causes attention Residue and low performance on interrupting tasks and how a ready-to-resume plan mitigates the effects. Organization Science,29(3), 380–397.
Liu, M. J. (1982). Ensure students’ after-school rest. People’s Education, 9, 60.
Liu, W. (2008). Focusing on desirability: The effect of decision interruption and suspension on preferences. Journal of Consumer Research, 35(4), 640–652.
Mark, G., Gudith, D., & Klocke, U. (2008). The cost of interrupted work: More speed and stress. In Chi 2008: 26th annual chi conference on human factors in computing systems Vols 1 and 2, conference proceedings (pp. 107–110).
McFarlane, D. C. (2002). Comparison of four primary methods for coordinating the interruption of people in human–computer interaction. Human–Computer Interaction, 17(1), 63–139.
McFarlane, D. C., & Latorella, K. A. (2002). The scope and importance of human interruption in human–computer interaction design. Human–Computer Interaction, 17(1), 1–61.
Moe, W. W., & Fader, P. S. (2004). Capturing evolving visit behavior in clickstream data. Journal of Interactive Marketing,18(1), 5–19.
Mollen, A., & Wilson, H. (2010). Engagement, telepresence and interactivity in online consumer experience: Reconciling scholastic and managerial perspectives. Journal of Business Research,63(9–10), 919–925.
Nelson, L. D., Meyvis, T., & Galak, J. (2009). Enhancing the television-viewing experience through commercial interruptions. Journal of Consumer Research,36(2), 160–172.
Newman, C. L., Howlett, E., & Burton, S. (2016). Effects of objective and evaluative front-of-package cues on food evaluation and choice: The moderating influence of comparative and noncomparative processing contexts. Journal of Consumer Research, 42(5), 749–766.
Newtson, D. (1973). Attribution and the unit of perception of ongoing behavior. Journal of Personality and Social Psychology,28(1), 28.
Norman, D. A., & Bobrow, D. G. (1975). On data-limited and resource-limited processes. Cognitive Psychology,7(1), 44–64.
Okhuysen, G. A., & Eisenhardt, K. M. (2002). Integrating knowledge in groups: How formal interventions enable flexibility. Organization Science,13(4), 370–386.
Okhuysen, G. A., & Waller, M. J. (2002). Focusing on midpoint transitions: An analysis of boundary conditions. Academy of Management Journal,45(5), 1056–1065.
Palmer, J. W. (2002). Web site usability, design, and performance metrics. Information Systems Research,13(2), 151–167.
Pashler, H. (1994). Dual-Task interference in simple tasks-data and theory. Psychological Bulletin, 116(2), 220–244.
Raman, A., & Viswanathan, A. (2011). Web services and e-shopping decisions: A study on Malaysian e-consumer. Wireless Information Networks and Business Information System,2(5), 54–60.
Sarkar, S., & Khare, A. (2019). Influence of expectation confirmation, network externalities, and flow on use of mobile shopping apps. International Journal of Human–Computer Interaction,35(16), 1449–1460.
Schenkman, B. N., & Jönsson, F. U. (2000). Aesthetics and preferences of web pages. Behaviour & Information Technology,19(5), 367–377.
Song, S. G. (2004). A comparative study on the decision-making patterns of Chinese and foreign consumers. China Circulation Economy, 52–55.
Statista. (2023). Ecommerce: Market data and analysis.
Teng, C. I., et al. (2012). Who may be loyal? Personality, flow experience and customer e-loyalty. International Journal of Electronic Customer Relationship Management,6(1), 20–47.
Xia, L., & Sudharshan, D. (2002). Effects of interruptions on consumer online decision processes. Journal of Consumer Psychology,12(3), 265–280.
Funding
This study is supported by National Natural Science Foundation of China (72272075, 71872086, 72372112), Nanjing University Special Program for Middle and Long Term Outstanding Research in New Era Humanities and Social Sciences (14914220) and Laboratory of Computation and Analytics of Complex Management Systems(CACMS), Tianjin University.
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Yang, X., Luo, C. & Yan, M. Break the flow: the impact of interruptions on users’ decision efficiency in mobile shopping. Electron Commer Res (2024). https://doi.org/10.1007/s10660-023-09800-7
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DOI: https://doi.org/10.1007/s10660-023-09800-7