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The Effects of Device Switching on Online Purchase: Focusing on the Moderation Effect of Switching Time and Internet Infrastructure

기기전환이 온라인 구매에 미치는 영향: 전환 시점과 인터넷 인프라의 조절 효과를 중심으로

  • Jungwon Lee (Sejong Research Institute, Korea University) ;
  • Jaehyun You (Division of Convergence Business, Korea University)
  • 이중원 (고려대학교 세종경영연구소) ;
  • 유재현 (고려대학교 융합경영학부 디지털경영전공)
  • Received : 2023.01.05
  • Accepted : 2023.03.05
  • Published : 2023.03.31

Abstract

The rapid increase in the use of mobile devices is changing consumers' online shopping behavior. However, the difference in the effect on the conversion rate according to the time when consumers switch from a small screen to a large screen has not been sufficiently studied. In addition, the differences in the effect of device conversion on purchase performance according to the characteristics of each country's infrastructure have not been sufficiently studied. Against this background, this study aims to analyze whether the timing of switching from mobile devices to PC devices and the country's mobile Internet penetration rate are moderating the positive effect of device switching on purchase performance. For empirical analysis, Google Merchandise Store data was collected and 101,466 data from 130 countries were analyzed with a multilevel model. As a result of the analysis, consumers' device switching (i.e., mobile to PC) had a positive effect when it occurred in the middle of the consumer journey. However, it was analyzed that when device switching occurred at the later stage of the consumer journey, it had a negative effect on purchase performance. In addition, it was analyzed that the higher the mobile Internet penetration rate, the weaker the positive effect of consumer device conversion on purchase performance.

모바일 기기 사용의 급격한 증가는 소비자의 온라인 쇼핑 행동을 변화시키고 있다. 하지만, 소비자가 작은 화면에서 큰 화면으로 전환하는 시기에 따라 전환률에 미치는 영향에 어떠한 차이가 있는지는 충분히 연구되지 않았다. 또한, 개별 국가의 인프라 특성에 따라 기기전환이 구매성과에 미치는 영향에 어떠한 차이가 있는지도 충분히 연구되지 않았다. 이러한 배경에서 본 연구는 De Haan et al.(2018)의 연구를 글로벌 맥락으로 확장하여 모바일 기기에서 PC기기로 전환하는 시기와 국가의 모바일 인터넷 보급률이 기기전환이 구매성과에 미치는 긍정적 효과를 조절하는지 분석하고자 한다. 실증분석을 위해 구글 머천다이즈 스토어 데이터를 수집하여, 130개 국가의 101,466개 데이터를 다수준 모형으로 분석하였다. 분석결과, 소비자의 기기 전환(i.e., 모바일에서 PC)은 소비자 여정의 중기에 발생했을 때, 긍정적인 영향을 미쳤다. 하지만, 소비자 여정의 후기에 기기전환이 발생한 경우에는 오히려 구매성과에 부정적인 영향을 미치는 것으로 분석되었다. 또한, 모바일 인터넷 보급률이 높을수록 소비자의 기기전환이 구매성과에 미치는 긍정적 효과가 약화 되는 것으로 분석되었다.

Keywords

References

  1. Anderl, E., I. Becker, F. Von Wangenheim, and J. H. Schumann, "Mapping the customer journey: Lessons learned from graph-based online attribution modeling," International Journal of Research in Marketing, Vol.33, No.3(2016), 457-474. https://doi.org/10.1016/j.ijresmar.2016.03.001
  2. Andrews, M., X. Luo, Z. Fang, and A. Ghose, "Mobile ad effectiveness: Hyper-contextual targeting with crowdedness," Marketing Science, Vol.35, No.2(2016), 218-233. https://doi.org/10.1287/mksc.2015.0905
  3. Batra, R., and K. L. Keller, "Integrating marketing communications: New findings, new lessons, and new ideas," Journal of Marketing, Vol.80, No.6(2016), 122-145. https://doi.org/10.1509/jm.15.0419
  4. Chin, E., A. P. Felt, V. Sekar, and D. Wagner, "Measuring user confidence in smartphone security and privacy," Proceedings of the Eighth Symposium on Usable Privacy and Security, (2012), 1-16.
  5. Cui, Y., and V. Roto, "How people use the web on mobile devices," Proceeding of the 17th International Conference on World Wide Web, 2008, 905-914.
  6. Danaher, P. J., G. W. Mullarkey, and S. Essegaier, "Factors affecting web site visit duration: A cross-domain analysis," Journal of Marketing Research, Vol.43, No.2(2006), 182-194. https://doi.org/10.1509/jmkr.43.2.182
  7. De Haan, E., P. Kannan, P. C. Verhoef, and T. Wiesel, "Device switching in online purchasing: Examining the strategic contingencies," Journal of Marketing, Vol.82, No.5(2018), 1-19. https://doi.org/10.1509/jm.17.0113
  8. Ghose, A., A. Goldfarb, and S. P. Han, "How is the mobile internet different? search costs and local activities," Information Systems Research, Vo.24, No.3(2013), 613-631. https://doi.org/10.1287/isre.1120.0453
  9. Han, S., J. K. Han, I. Im, S. I. Jung, and J. W. Lee, "Mapping consumer's cross-device usage for online search: Mobile- vs. PC-based search in the purchase decision process," Journal of Business Research, Vol.142(2022), 387-399. https://doi.org/10.1016/j.jbusres.2021.12.051
  10. Huang, P., N. H. Lurie, and S. Mitra, "Searching for experience on the web: An empirical examination of consumer behavior for search and experience goods," Journal of Marketing, Vol.73, No.2(2009), 55-69. https://doi.org/10.1509/jmkg.73.2.55
  11. Kakalejcik, L., J. Bucko, and M. Vejacka, "Differences in buyer journey between high-and low-value customers of e-commerce business," Journal of Theoretical and Applied Electronic Commerce Research, Vol.14, No.2 (2019), 47-58. https://doi.org/10.4067/S0718-18762019000200105
  12. Koyuncu, C., and D. Lien, "E-commerce and consumer's purchasing behaviour," Applied Economics, Vol.35, No.6(2003), 721-726. https://doi.org/10.1080/0003684022000020850
  13. Kukar-Kinney, M., A. C. Scheinbaum, L. O. Orimoloye, J. R. Carlson, and H. He, "A model of online shopping cart abandonment: Evidence from e-tail Clickstream Data", Journal of the Academy of Marketing Science, Vol.50, No.5(2022), 961-980. https://doi.org/10.1007/s11747-022-00857-8
  14. Kubler, R., K. Pauwels, G. Yildirim, and T. Fandrich, "App popularity: Where in the world are consumers most sensitive to price and user ratings?," Journal of Marketing, Vol.82, No.5(2018), 20-44. https://doi.org/10.1509/jm.16.0140
  15. Lee, J., O. Jung, Y. Lee, O. Kim, and C. Park, "A comparison and interpretation of machine learning algorithm for the prediction of online purchase conversion," Journal of Theoretical and Applied Electronic Commerce Research, Vol.16, No.5(2020), 1472-1491. https://doi.org/10.3390/jtaer16050083
  16. Lee, Y. E., and I. Benbasat, "A framework for the study of Customer Interface Design for Mobile Commerce," International Journal of Electronic Commerce, Vol.8, No.3(2004), 79-102. https://doi.org/10.1080/10864415.2004.11044299
  17. Lemon, K. N., and P. C. Verhoef, "Understanding customer experience throughout the customer journey," Journal of Marketing, Vol.80, No.6 (2016), 69-96. https://doi.org/10.1509/jm.15.0420
  18. Li, C., X. Luo, C. Zhang, and X. Wang, "Sunny, rainy, and cloudy with a chance of mobile promotion effectiveness," Marketing Science, Vol.36, No.5(2017), 762-779. https://doi.org/10.1287/mksc.2017.1044
  19. Li, J., A. Abbasi, A. Cheema, and L. B. Abraham, "Path to purpose? how online customer journeys differ for hedonic versus utilitarian purchases," Journal of Marketing, Vol.84, No.4(2020), 127-146. https://doi.org/10.1177/0022242920911628
  20. Lu, C., and R. Y. Du, "Click-Through behavior across devices in paid search advertising: why users favor top paid search ads and are sensitive to ad position change," Journal of Advertising Research, Vol.60, No.4(2020). 394-406. https://doi.org/10.2501/JAR-2020-004
  21. Lu, H. P., and P. Y. J. Su, "Factors affecting purchase intention on mobile shopping web sites," Internet Research, Vol.19, No.4 (2009), 442-458. https://doi.org/10.1108/10662240910981399
  22. Marz, A., S. Schubach, and J. H. Schumann, "'Why would I read a mobile review?' device compatibility perceptions and effects on perceived helpfulness," Psychology & Marketing, Vol.34, No.2(2017), 119-137. https://doi.org/10.1002/mar.20979
  23. Orimoloye, L. O., A. C. Scheinbaum, M. Kukar-Kinney, T. Ma, M. Sun, and J. Johnson, "Differential effects of device modalities and exposure to online reviews on online purchasing: A field study," Journal of Advertising, Vol.51, No.4(2022), 430-439. https://doi.org/10.1080/00913367.2022.2090466
  24. Ransbotham, S., N. H. Lurie, and H. Liu, "Creation and consumption of mobile word of mouth: How are mobile reviews different?," Marketing Science, Vol.38, No.5 (2019), 773-792. https://doi.org/10.1287/mksc.2018.1115
  25. Raphaeli, O., A. Goldstein, and L. Fink, "Analyzing online consumer behavior in Mobile and PC devices: A novel web usage mining approach," Electronic Commerce Research and Applications, Vol.26(2017), 1-12. https://doi.org/10.1016/j.elerap.2017.09.003
  26. Scheibehenne, B., R. Greifeneder, and P. M. Todd, "Can there ever be too many options? A meta-analytic review of Choice Overload," Journal of Consumer Research, Vol.37, No.3 (2010), 409-425. https://doi.org/10.1086/651235
  27. Varma Citrin, A., D. E. Sprott, S. N. Silverman, and D. E. Stem, "Adoption of internet shopping: The role of consumer innovativeness," Industrial Management & Data Systems, Vol.100, No.7 (2000), 294-300. https://doi.org/10.1108/02635570010304806
  28. Verhoef, P. C., A. T. Stephen, P. Kannan, X. Luo, V. Abhishek, M. Andrews, and Y. Zhang, "Consumer connectivity in a complex, technology-enabled, and mobile-oriented world with Smart Products," Journal of Interactive Marketing, Vol.40, No.1(2017), 1-8. https://doi.org/10.1016/j.intmar.2017.06.001
  29. Wang, R. J., E. C. Malthouse, and L. Krishnamurthi, "On the go: How mobile shopping affects customer purchase behavior," Journal of Retailing, Vol.91, No.2(2015), 217-234. https://doi.org/10.1016/j.jretai.2015.01.002