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A smart assistant toward product-awareness shopping

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Abstract

This research employs sensor techniques (i.e., radio-frequency identification system) in developing a smart assistant for home furniture shopping. The implemented assistant provides friendly accessed interface that allows consumers to easily locate the product, confirm the detail information of it, and moreover, provide real-time recommendation(s) in accordance with interests of consumers. Unlike conventional online stores, the system offers the retailer extra spaces for varieties of merchandize, eliminated duplicated products display, etc. In addition, the assistant can avoid an unnecessary crashing of huge shopping carts in a crowded situation. This research discusses a new shopping pattern implemented by a smart assistant with the integration of consumer, retailer, and warehouse sides. In addition, an application is provided on smart phones in conjunction with the system to improve the competiveness in the market and increase the loyalty of their consumers. The experiment results demonstrate that collected data from end users (e.g., consumer, warehouse, and retailer itself) may provide essential information to revise business models.

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References

  1. Asif Z, Mandviwalla M (2005) Integrating the supply chain with RFID: a technical and business analysis. Commun Assoc Inf Syst 15:393–427

    Google Scholar 

  2. Becker J, Winkelmann A, Fuchs P (2009) IT in the consumer products industry. Value-add and future trends from the scientific perspective. In: Otto A, Schoppengerd FJ, Shariatmadari R (eds) Direct store delivery. Concepts, applications and instruments. Springer, Berlin, pp 161–173

    Chapter  Google Scholar 

  3. Boyle M (2003) Wal-Mart keeps the change, fortune, Nov, 46

  4. Chang YF, Tai WL, Chen CC (2012) Authentication protocols for reliable information provision systems with low computational-ability devices. Informatica (in press)

  5. Chen CC (2012) Identifying drivers for adoption intention in RFID service. Int J Mobile Commun 10(3):231–247

    Article  Google Scholar 

  6. Chen CC, Chang YF (2012) Smart healthcare environment: design with RFID technology and performance evaluation. J Med Biol Eng. doi:10.5405/jmbe.1255

  7. Chen CC, Huang TC (2012) Learning in a u-Museum: developing a context-aware ubiquitous learning environment. Comput Educ 59(3):873–883

    Article  Google Scholar 

  8. Cheng CY, Barton D, Prabhu V (2010) The servicisation of the cutting tool supply chain. Int J Prod Res 48(1):1–19

    Article  MATH  Google Scholar 

  9. Hassan T, Chatterjee S (2006) A taxonomy of RFID, In: proceedings of the 39th Hawaii international conference on system sciences

  10. Ministry of Economic Affairs (MOEA) (2012) Annual report on the activity surveys of commerce and services. http://www.moea.gov.tw

  11. Sellitto C, Burgess S, Hawking P (2007) Information quality attributes associated with RFID-derived benefits in the retail supply chain. Int J Retail Distrib Manag 35(1):69–87

    Article  Google Scholar 

  12. Shepard S (2005) RFID: radio frequency identification. McGraw-Hill, New York

    Google Scholar 

  13. Wang H, Chen S, Xie Y (2010) An RFID-based digital warehouse management system in the tobacco industry: a case study. Int J Prod Res 48(9):2513–2548

    Article  Google Scholar 

  14. Wu TY, Yeh KC, Chen RS, Chen YC, Chen CC (2011) Integrated library service application platform based on the smart book shelf. Malays J Libr Inf Sci 16(3):103–119

    Google Scholar 

  15. Yeh KC, Chen RS, Chen CC (2011) Intelligent service-integrated platform based on the RFID technology and software agent system. Expert Syst Appl 38(4):3058–3068

    Article  Google Scholar 

  16. Zhu Y, Jin Q (2012) An adaptively emerging mechanism for context-aware service selections regulated by feedback distributions. Human-centric Comput Inf Sci 2:15

    Article  Google Scholar 

  17. Oommen J, Yazidi A, Granmo OC (2012) An adaptive approach to learning the preferences of users in a social network using weak estimators. J Inf Process Syst 8(2):191–212

    Google Scholar 

  18. Gonzalez JL, Marcelin-Jimenez R (2012) Improving recommendations by the clustering of tag neighbours. J Converg 3(1):21–28

    Google Scholar 

Download references

Acknowledgments

The authors are grateful for the support of the National Scientific Council (NSC) of the Republic of China (ROC) under Grant No. NSC 101-2622-E-029-002-CC3, 100-2511-S-025-002-MY2.

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Authors and Affiliations

  1. Department Management Information Systems, National Chung Hsing University, Taichung, Taiwan

    Chia-Chen Chen

  2. Department of Information Management, National Taichung University of Science and Technology, Taichung, Taiwan

    Tien-Chi Huang

  3. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea

    James J. Park

  4. Department of Information Management, Tunghai University, Taichung, Taiwan

    Huang-Hua Tseng

  5. School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan

    Neil Y. Yen

Authors
  1. Chia-Chen Chen
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  2. Tien-Chi Huang
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  3. James J. Park
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  4. Huang-Hua Tseng
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  5. Neil Y. Yen
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Corresponding author

Correspondence to James J. Park.

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Chen, CC., Huang, TC., Park, J.J. et al. A smart assistant toward product-awareness shopping. Pers Ubiquit Comput 18, 339–349 (2014). https://doi.org/10.1007/s00779-013-0649-z

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  • DOI: https://doi.org/10.1007/s00779-013-0649-z

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