Skip to main content
Log in

A cross-country comparison of the adoption of ubiquitous supply chain management

  • Original Article
  • Published:
Personal and Ubiquitous Computing Aims and scope Submit manuscript

Abstract

The objective of this paper is to explore the adoption of ubiquitous supply chain management system (USCM) in different national contexts: the UK and South Korea. In order to achieve this objective, this paper proposes a research model that consists of factors related to organizational, information technology and environmental aspects. Data were collected in the UK and South Korea to conduct a cross-country comparison analysis. The findings indicate that the major differences between the two countries were found in industry type, USCM adoption type and USCM benefits. Many of the organizational, information technology and environment factors are similar across the two nations. Because there has been little empirical research on this subject, the findings provide valuable insights for both academics and practitioners. Further research is required to examine the application of USCM in the various industrial contexts.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Fleisch E, Tellkamp C (2006) The business values of ubiquitous computing technologies. In: Roussos G (ed) Ubiquitous and pervasive commerce. Springer, London, pp 93–114

    Chapter  Google Scholar 

  2. Roussos G (2006) Ubiquitous computing. In: Roussos G (ed) Ubiquitous and pervasive commerce. Springer, London, pp 1–12

    Chapter  Google Scholar 

  3. Fish LA, Forrest WC (2006) The 7 success factors of RFID. Supply chain manag rev 10(7):26–32

    Google Scholar 

  4. Ranganathan C, Dhaliwal JS, Teo TSH (2004) Assimilation and diffusion of Web technologies in supply-chain management: An examination of key drivers and performance impacts. Int J Electron Commer 9(1):127–161

    Google Scholar 

  5. Moberg C, Whipple T, Cutler B, Speh T (2004) Do the management components of supply chain management affect logistics performance? Int J Logist Manag 15(2):15–30

    Article  Google Scholar 

  6. Talluri S (2000) An IT/IS acquisition and justification model for supply-chain management. Int J Phys Distrib Logist Manag 30(3/4):221–237

    Article  Google Scholar 

  7. Kopczak LR, Johnson ME (2003) The supply-chain management effect. MIT sloan manag rev (Spring) 44(3):27–34

    Google Scholar 

  8. Barua A, Konana P, Whinston AB, Yin F (2004) An empirical investigation of net enabled business value. MIS Q 28(4):585–620

    Google Scholar 

  9. Forman H, Lippert SK (2005) Toward the development of an integrated model of technology internalization within the supply chain context. Int J Logist Manag 16(1):4–27

    Article  Google Scholar 

  10. Nissen M, Sengupta K (2006) Incorporating software agents into supply chains: experimental investigation with a procurement task. MIS Q 30(1):145–166

    Google Scholar 

  11. Rai A, Patnayakuni R, Seth N (2006) Firm performance impacts of digitally enabled supply chain integration capabilities. MIS Q 30(2):225–246

    Google Scholar 

  12. Subramani M (2004) How do suppliers benefit from information technology use in supply chain relationships? MIS Q 28(1):45–73

    MathSciNet  Google Scholar 

  13. Hackenbroich G, Bornhovd C, Haller S, Schaper J (2006) Optimizing business process by automatic data acquisition: RFID technology and beyond. In: Roussos G (ed) Ubiquitous and pervasive commerce. Springer, London, pp 33–52

    Chapter  Google Scholar 

  14. Roussos G (2006) Supply chain management standards in ubiquitous commerce. In: Roussos G (ed) Ubiquitous and pervasive commerce. Springer, London, pp 15–31

    Chapter  Google Scholar 

  15. Singh N, Lai K, Cheng T (2007) Intra-organizational perspectives on IT-enabled supply chains. Commun ACM 50(1):59–65

    Article  Google Scholar 

  16. Thiesse F, Fleisch E, Dierkes M (2006) LotTrack: RFID-based process control in the semiconductor industry. Perv comput 5(1):47–53

    Google Scholar 

  17. Jeong S, Hur SM, Suh SH (2009) A conceptual framework for computer-aided ubiquitous system engineering: architecture and prototype. Int J Comput Integr Manuf 22(7):671–685

    Article  Google Scholar 

  18. Narayanaswami C, Kruger A, Marmasse N (2011) Pervasive retail. IEEE Perv Comput 10(2):16–18

    Article  Google Scholar 

  19. Giner P, Cetina C, Fons J, Pelechano V (2011) Implicit interaction design for pervasive workflows. Pers Ubiquit Comput 15(4):399–408

    Article  Google Scholar 

  20. Cohen MA, Lee HL (1998) Strategic analysis of integrated production-distribution systems: models and methods. Oper Res 36(2):216–228

    Article  Google Scholar 

  21. Mabert V, Venkataraman M (1998) Special research forum on supply chain linkages: challenges for design and management in the 21st century. Decis Sci 29:537–552

    Article  Google Scholar 

  22. Turner JR (1993) Integrated supply-chain management: what’s wrong with this picture? Industr Eng 25(12):52–55

    Google Scholar 

  23. Ho DCK, Au KF, Newton E (2002) Empirical research on supply chain management: a critical review and recommendations. Int J Prod Res 40(17):4415–4430

    Article  MATH  Google Scholar 

  24. Wisner JD, Tan KC (2000) Supply chain management and its impact on purchasing. J Supply Chain Manag 36(4):33–42

    Article  Google Scholar 

  25. Finley F, Srikanth S (2005) Imperatives for successful collaboration. Supply chain manag rev 9(1):30–37

    Google Scholar 

  26. Giannakis M, Croom SR (2004) Toward the development of a supply chain management paradigm: a conceptual framework. J Supply Chain Manag 40(2):27–37

    Article  Google Scholar 

  27. Gunasekaran A, Ngai EWT (2005) Build-to-order supply chain management: a literature review and framework for development. J Oper Manag 23(5):423–451

    Article  Google Scholar 

  28. Eng T-Y (2005) The influence of a firm’s cross-functional orientation on supply chain performance. J Supply Chain Manag 41(4):4–16

    Article  Google Scholar 

  29. Vickery SK, Jayaram J, Droge C, Calantone R (2003) The effects of an integrative supply chain strategy on customer service and financial performance: an analysis of direct versus indirect relationships. J Oper Manag 21(5):523–539

    Article  Google Scholar 

  30. Corsten D, Kumar N (2005) Do suppliers benefit from collaborative relationships with large retailers? An empirical investigation of efficient consumer response adoption. J Market 69:80–94

    Article  Google Scholar 

  31. Rajib P, Tiwari D, Srivastava G (2002) Design and development of an integrated supply chain management system in an internet environment. J Serv Res 2(1):75–93

    Google Scholar 

  32. Welch J, Wietfeldt P (2005) How to leverage your systems investment. Supply chain manag rev 9(8):24–30

    Google Scholar 

  33. Carter CR, Kaufmann L (2007) The impact of electronic reverse auctions on supplier performance: the mediating role of relationship variables. J Supply Chain Manag 43(1):16–26

    Article  Google Scholar 

  34. Larson PD, Carr P, Dhariwal KS (2005) SCM involving small versus large suppliers: relational exchange and electronic communication media. J Supply Chain Manag 41(1):18–29

    Article  Google Scholar 

  35. Kourouthanassis P, Roussos G (2006) The design of pervasive retail experiences. In: Roussos G (ed) Ubiquitous and pervasive commerce. Springer, London, pp 133–153

    Chapter  Google Scholar 

  36. Kartiwi M, MacGregor RC (2007) Electronic commerce adoption barriers in small to medium-sized enterprises (SEMs) in developed and developing countries: a cross-country comparison. J Elect Comm Organ 5(3):35–51

    Article  Google Scholar 

  37. Zhu K, Kraemer KL, Xu S, Dedrick J (2004) Information technology payoff in e-business environments: an international perspective on value creation of e-Business in the financial services industry. J Manag Inf Syst 21(1):17–54

    Google Scholar 

  38. OECD (2004) ICT diffusion to business: peer review—Country report: Korea. OECD

  39. OECD (2006) OECD information technology outlook 2006: Highlights. OECD

  40. Firth M (1978) A study of the consensus of the perceived importance of individual items in corporate annual reports. Int J Account Educ Res 14(1):57–70

    Google Scholar 

  41. Porter ME (1985) Competitive advantage. Free Press, New York

    Google Scholar 

  42. Wiseman C (1985) Strategy and computers: information systems as competitive weapons. Dow Jones-Irwin, Homewood, IL

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Simon J. Lee.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kim, C., Johnson, R., Roussos, G. et al. A cross-country comparison of the adoption of ubiquitous supply chain management. Pers Ubiquit Comput 16, 717–727 (2012). https://doi.org/10.1007/s00779-011-0438-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00779-011-0438-5

Keywords

Navigation