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Mobile Information Systems
Volume 2016, Article ID 3602980, 12 pages
http://dx.doi.org/10.1155/2016/3602980
Research Article

Design and Evaluation of Smart Mobile Services for Cross-Channel Shopping

Department of Industrial Engineering, Chongqing University, Chongqing 400044, China

Received 15 April 2016; Accepted 1 June 2016

Academic Editor: Jinglan Zhang

Copyright © 2016 Guangji Liao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. China's e-tail revolution: Online shopping as a catalyst for growth. [EB/OL], http://www.mckinsey.com/insights/asia-pacific/china_e-tailing.
  2. Why Online2Offline Commerce Is A Trillion Dollar Opportunity (EB/OL), http://techcrunch.com/2010/08/07/why-online2offline-commerce-is-a-trillion-dollar-opportunity/.
  3. Google trends[EB/OL], https://www.google.com/trends/.
  4. T. Ahn, S. Ryu, and I. Han, “The impact of the online and offline features on the user acceptance of Internet shopping malls,” Electronic Commerce Research and Applications, vol. 3, no. 4, pp. 405–420, 2004. View at Publisher · View at Google Scholar · View at Scopus
  5. A. H. Crespo and I. R. Del Bosque, “The influence of the commercial features of the Internet on the adoption of e-commerce by consumers,” Electronic Commerce Research and Applications, vol. 9, no. 6, pp. 562–575, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. P.-L. To, C. Liao, and T.-H. Lin, “Shopping motivations on Internet: a study based on utilitarian and hedonic value,” Technovation, vol. 27, no. 12, pp. 774–787, 2007. View at Publisher · View at Google Scholar · View at Scopus
  7. R. C. King, R. Sen, and M. Xia, “Impact of web-based e-commerce on channel strategy in retailing,” International Journal of Electronic Commerce, vol. 8, no. 3, pp. 103–130, 2004. View at Google Scholar · View at Scopus
  8. A. V. Hausman and J. S. Siekpe, “The effect of web interface features on consumer online purchase intentions,” Journal of Business Research, vol. 62, no. 1, pp. 5–13, 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. A. Lin, S. Gregor, and M. Ewing, “Developing a scale to measure the enjoyment of web experiences,” Journal of Interactive Marketing, vol. 22, no. 4, pp. 40–57, 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. C. Bologna, A. C. De Rosa, A. De Vivo, M. Gaeta, G. Sansonetti, and V. Viserta, “Personality-based recommendation in E-commerce,” in Proceedings of the 21st Conference on User Modeling, Adaptation and Personalization (UMAP '13), Rome, Italy, June 2013. View at Scopus
  11. M. Kaptein and P. Parvinen, “Advancing e-commerce personalization: process framework and case study,” International Journal of Electronic Commerce, vol. 19, no. 3, pp. 7–33, 2015. View at Publisher · View at Google Scholar · View at Scopus
  12. A. Goy, L. Ardissono, and G. Petrone, “Personalization in e-commerce applications,” in The Adaptive Web, pp. 485–520, Springer, Berlin, Germany, 2007. View at Google Scholar
  13. B. R. Cattell, H. W. Eber, and M. M. Tatsuoka, “Handbook for the sixteen personality factor questionnaire (16 PF),” in Clinical, Educational, Industrial, and Research Psychology, for Use with All Forms of the Test, Institute for Personality and Ability Testing, Savoy, Ill, USA, 1970. View at Google Scholar
  14. R. E. Goldsmith and C. F. Hofacker, “Measuring consumer innovativeness,” Journal of the Academy of Marketing Science, vol. 19, no. 3, pp. 209–221, 1991. View at Publisher · View at Google Scholar · View at Scopus
  15. J. Brooke, “SUS: a ‘quick and dirty’ usability scale,” in Usability Evaluation in Industry, P. W. Jordan, B. Thomas, B. A. Weerdmeester, and A. L. McClelland, Eds., vol. 189, no. 149, pp. 4–7, Taylor and Francis, London, UK, 1996. View at Google Scholar
  16. C. Kim, W. Li, and D. J. Kim, “An empirical analysis of factors influencing M-shopping use,” International Journal of Human-Computer Interaction, vol. 31, no. 12, pp. 974–994, 2015. View at Publisher · View at Google Scholar · View at Scopus
  17. K. Yang, “Consumer technology traits in determining mobile shopping adoption: an application of the extended theory of planned behavior,” Journal of Retailing and Consumer Services, vol. 19, no. 5, pp. 484–491, 2012. View at Publisher · View at Google Scholar · View at Scopus
  18. A. Y.-L. Chong, F. T. S. Chan, and K.-B. Ooi, “Predicting consumer decisions to adopt mobile commerce: cross country empirical examination between China and Malaysia,” Decision Support Systems, vol. 53, no. 1, pp. 34–43, 2012. View at Publisher · View at Google Scholar · View at Scopus
  19. B. Evjemo, S. Akselsen, D. Slettemeås et al., “‘I expect smart services!’ user feedback on NFC based services addressing everyday routines,” in Internet of Things. IoT Infrastructures, pp. 118–124, Springer, 2015. View at Google Scholar
  20. S. H. Kim, H. Park, H. C. Bang, and D.-H. Kim, “An indoor location tracking based on mobile RFID for smart exhibition service,” Journal of Computer Virology and Hacking Techniques, vol. 10, no. 2, pp. 89–96, 2014. View at Publisher · View at Google Scholar · View at Scopus
  21. J. Yang, Z. Wang, and X. Zhang, “An iBeacon-based indoor positioning systems for hospitals,” International Journal of Smart Home, vol. 9, no. 7, pp. 161–168, 2015. View at Publisher · View at Google Scholar · View at Scopus
  22. S.-K. Noh, S.-R. Lee, and D. Choi, “Proposed M-payment system using near-field communication and based on WSN-enabled location-based services for M-commerce,” International Journal of Distributed Sensor Networks, vol. 2014, Article ID 865172, 8 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus
  23. J. Stępień, J. Kołodziej, and W. Machowski, “Mobile user tracking system with ZigBee,” Microprocessors and Microsystems, vol. 44, pp. 47–55, 2016. View at Publisher · View at Google Scholar
  24. M. Sánchez, E. Beato, D. Salvador et al., “Mobile Assistant for the Elder (MASEL): a practical application of smart mobility,” in Highlights in Practical Applications of Agents and Multiagent Systems, pp. 325–331, Springer, Berlin, Germany, 2011. View at Google Scholar
  25. C. Zhou, P. Dai, F. Wang, and Z. Zhang, “Predicting the passenger demand on bus services for mobile users,” Pervasive and Mobile Computing, vol. 25, pp. 48–66, 2016. View at Publisher · View at Google Scholar · View at Scopus
  26. Y. Cho and H. Yoe, “A smart service model using smart devices,” in Future Generation Information Technology, pp. 661–666, Springer, Berlin, Germany, 2010. View at Google Scholar
  27. S. Kim, H. Kim, and Y. Yoon, “Fusion context model based on user scenario for smart service,” in Grid and Distributed Computing, pp. 506–514, Springer, New York, NY, USA, 2011. View at Google Scholar
  28. D. Moon, I. Kim, J. W. Joo, H. J. Im, J. H. Park, and Y.-S. Jeong, “Intelligent security model of smart phone based on human behavior in mobile cloud computing,” Wireless Personal Communications, 2015. View at Publisher · View at Google Scholar · View at Scopus
  29. Y.-N. Shin and M. G. Chun, “Integrated framework for information security in mobile banking service based on smart phone,” in Communication and Networking, pp. 188–197, Springer, Berlin, Germany, 2010. View at Google Scholar
  30. D. Weerasinghe, V. Rakocevic, and M. Rajarajan, “Security framework for mobile banking,” in Trustworthy Ubiquitous Computing, pp. 207–225, Springer, Berlin, Germany, 2012. View at Google Scholar
  31. D. Stone, C. Jarrett, M. Woodroffe et al., User Interface Design and Evaluation, Morgan Kaufmann, 2005.
  32. ISO, “Ergonomics of human-system interaction—part 210: human-centred design for interactive systems,” ISO 9241-210:2010, 2010, http://www.iso.org/iso/catalogue_detail.htm?csnumber=52075. View at Google Scholar
  33. Age Matters With Digital Shoppers [EB/OL], http://www.nielsen.com/us/en/insights/news/2014/age-matters-with-digital-shoppers.html.
  34. E-commerce statistics for individuals[EB/OL], http://ec.europa.eu/eurostat/statistics-explained/index.php/E-commerce_statistics_for_individuals.
  35. Statistics About E-Commerce Shoppers That Reveal Why Many Consumer Stereotypes Don't Apply Online [EB/OL], http://www.businessinsider.com/the-demographics-of-who-shops-online-and-on-mobile-2014-8.
  36. The Statistics Protal. eCommerce-China[EB/OL], https://www.statista.com/outlook/243/117/ecommerce/china#.
  37. High-Fidelity Prototypes[EB/OL], http://svpg.com/high-fidelity-prototypes/.
  38. Microsoft Experimenting with Future Surface Tablet Applications Designed for Transparent Displays [EB/OL], http://www.patentlymobile.com/2015/09/microsoft-experimenting-with-future-surface-tablet-applications-designed-for-transparent-displays.html.
  39. Samsung Patents Comes to Life for Next-Gen Retail Store Smart Glass, Home Mirrors and Future Smartphones[EB/OL], http://www.patentlymobile.com/2015/06/samsung-patents-comes-to-life-for-next-gen-retail-store-smart-glass-home-mirrors-and-future-smartphones.html.
  40. H. Neven Sr. and H. Neven, “Image-based search engine for mobile phones with camera,” Google Patents, 2009.
  41. M. Massimi, R. M. Baecker, and M. Wu, “Using participatory activities with seniors to critique, build, and evaluate mobile phones,” in Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '07), pp. 155–162, October 2007. View at Publisher · View at Google Scholar · View at Scopus
  42. M. Ziefle, “Information presentation in small screen devices: the trade-off between visual density and menu foresight,” Applied Ergonomics, vol. 41, no. 6, pp. 719–730, 2010. View at Publisher · View at Google Scholar · View at Scopus
  43. J. O. Crawford, C. Taylor, and N. L. W. Po, “A case study of on-screen prototypes and usability evaluation of electronic timers and food menu systems,” International Journal of Human-Computer Interaction, vol. 13, no. 2, pp. 187–201, 2001. View at Publisher · View at Google Scholar · View at Scopus
  44. J. Cohen, “A power primer,” Psychological Bulletin, vol. 112, no. 1, pp. 155–159, 1992. View at Publisher · View at Google Scholar · View at Scopus
  45. M. Blázquez, “Fashion shopping in multichannel retail: the role of technology in enhancing the customer experience,” International Journal of Electronic Commerce, vol. 18, no. 4, pp. 97–116, 2014. View at Publisher · View at Google Scholar · View at Scopus
  46. S. Ha and L. Stoel, “Consumer e-shopping acceptance: antecedents in a technology acceptance model,” Journal of Business Research, vol. 62, no. 5, pp. 565–571, 2009. View at Publisher · View at Google Scholar · View at Scopus
  47. A. D. Miyazaki and A. Fernandez, “Consumer perceptions of privacy and security risks for online shopping,” Journal of Consumer Affairs, vol. 35, no. 1, pp. 27–44, 2001. View at Publisher · View at Google Scholar · View at Scopus