Skip to main content
SpringerLink
Log in

Developing and validating a model explaining the assimilation process of RFID: An empirical study

  • Published:
Information Systems Frontiers Aims and scope Submit manuscript

Abstract

In this research we studied the assimilation process of a technological innovation (i.e. technovation) called Radio Frequency Identification (RFID). Like many other technovations, RFID is considered as a revolutionary one, but its assimilation is an evolutionary process. Here, we extended the conventional assimilation theories and initiated an intellectual argument by introducing extension as an important stage of assimilation, which is contextual and highly relevant for RFID assimilation process. Data for the empirical tests were collected via survey from 221 livestock farms in Australia that are using RFID for livestock identification and tracing. We examined ten Technology-Organization-Environmental (TOE) factors on four stages of RFID assimilation process. Empirical results, based on Partial Least Square (PLS)-based Structural Equation Modelling (SEM), suggest that assimilation of RFID technovation does involve four stages: initiation, adoption, routinization, and extension. We also found that one single factor may have different effect on different stages of assimilation, which may even be different directioned. For instance, external environmental uncertainty has a positive impact on RFID adoption while it has a negative impact on RFID extension. The paper discusses the results and practical implications in detail.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Allahyari, M. S. (2008). Extension mechanisms to support sustainable agriculture in Iran context. American Journal of Agricultural and Biological Sciences, 3(4), 647–655.

    Article  Google Scholar 

  • Angeles, R. (2012). Wal–Mart's sustainable packaging scorecard initiative through the lens of the technology–organisation–environment (TOE) framework. International Journal of Sustainable Strategic Management, 3(4), 270–293.

    Article  Google Scholar 

  • Bandura, A. (2001). Social Cognitive Theory of Mass Communication. Media Psychology, 3(3), 265–299.

    Article  Google Scholar 

  • Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: personal computer adoption and use as an illustration. Journal of Technology Studies, 2(2), 285–309.

    Google Scholar 

  • Bhattacherjee, A. (2001). Understanding Information systems Continuance: An Expectation-Confirmation model. MIS Quarterly, 25(3), 351–370.

    Article  Google Scholar 

  • Bhattacherjee, A., Perols, J., & Sanford, C. (2008). Information technology continuance: a theoretic extension and empirical test. The Journal of Computer Information Systems, 49(1), 17–26.

    Google Scholar 

  • Birkhaeuser, D., Evenson, R. E., & Gershon, F. (1991). The Economic Impact of Agricultural Extension: A Review. Economic Development and Cultural Change, 39(3), 607–650.

    Article  Google Scholar 

  • Brown, I., & Russell, J. (2007). Radio frequency identification technology: An exploratory study on adoption in the South African retail sector. International Journal of Information Management, 27(4), 250–265.

    Article  Google Scholar 

  • Burkhardt, M. E., & Brass, D. J. (1990). Changing Patterns or Patterns of Change: The Effects of a Change in Technology on Social Network Structure and Power. Administrative Science Quarterly, 35(1), 104–127.

    Article  Google Scholar 

  • Chang, S.-I., Hung, S.-Y., Yen, D. C., & Chen, Y.-J. (2008). The Determinants of RFID Adoption in the Logistics Industry - A Supply Chain Management Perspective. Communications of the Association for Information Systems, 23(1), 197–218.

    Google Scholar 

  • Chatterjee, D., Grewal, R., & Sambamurthy, V. (2002). Shaping up for e-commerce: institutional enablers of the organizational assimilation of web technologies. MIS Quarterly, 26(2), 65–89.

    Article  Google Scholar 

  • Chau, P. Y. (2001). Influence of computer attitude and self-efficacy on IT usage behavior. Journal of Organizational and End User Computing (JOEUC), 13(1), 26–33.

    Article  Google Scholar 

  • Chau, P. Y. K., & Tam, K. Y. (1997). Factors affecting the adoption of open systems: An exploratory study. MIS Quarterly, 21(1), 1–24.

    Article  Google Scholar 

  • Chen, C. C., Wu, J., Su, Y. S., & Yang, S. C. (2008). Key drivers for the continued use of RFID technology in the emergency room. Management Research News, 31(4), 273–288.

    Article  Google Scholar 

  • Cheng, Y., & Yang, A. (2007). Investigating Key Factors of Deciding RFID's Adoption in Logistics Service Providers, Proceedings of the 2007 11th International Conference on Computer Supported Cooperative Work in Design (pp. 1128–1133). Melbourne, Australia: IEEE.

    Google Scholar 

  • Chin, W. W. (2010). How to write up and report PLS analyses. In V. E. Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of Partial Least Squares (pp. 655–690). Germany: Springer.

    Chapter  Google Scholar 

  • Choi, J. N., & Chang, J. Y. (2009). Innovation Implementation in the Public Sector: An Integration of Institutional and Collective Dynamics. Journal of Applied Psychology, 94(1), 245–253.

    Article  Google Scholar 

  • Chong, A. Y.-L., Ooi, K.-B., Lin, B., & Raman, M. (2009). Factors affecting the adoption level of c-commerce: an empirical study. Journal of Computer Information Systems, 50(2), 13–22.

    Google Scholar 

  • Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211.

    Article  Google Scholar 

  • Cooper, R., & Zmud, R. W. (1990). Information technology implementation research: a technological diffusion approach. Management Science, 36(2), 123–139.

    Article  Google Scholar 

  • Curtin, J., Kauffman, R., & Riggins, F. (2007). Making the 'MOST' out of RFID technology: A research agenda for the study of the adoption, usage and impact of RFID. Information Technology and Management, 8(2), 87–110.

    Article  Google Scholar 

  • Damanpour, F., & Schneider, M. (2006). Phases of the adoption of innovation in organizations: Effects of environment, organization and top Managers. British Journal of Management, 17(3), 215–236.

    Article  Google Scholar 

  • Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.

    Article  Google Scholar 

  • Feder, G., & Umali, D. L. (1993). The adoption of agricultural innovations: A review. Technological Forecasting Society, 43(3), 215–239.

    Article  Google Scholar 

  • Fichman, R. G. (2000). The diffusion and assimilation of information technology innovations. Framing the domains of IT management: Projecting the future through the past, 105–128.

  • Fichman, R. G., & Kemerer, C. F. (1999). The illusory diffusion of innovation: An examination of assimilation gaps. Information Systems Research, 10(3), 255–275.

    Article  Google Scholar 

  • Finkenzeller, K. (1999). RFID Handlook: Radio-Frequency Identification Fundamentals and Applications. Chippenham: John Wiley & Son.

    Google Scholar 

  • Fischer, W. A., Hamilton, W., McLaughlin, C. P., & Zmud, R. W. (1986). The elusive product champion. Research Management, 29(3), 13–16.

    Google Scholar 

  • Fornell, C., & Larcker, D. (1981). Evaluating Structural Equation Models with Unobserved Varuiables and Measurement Error. Journal of Marketing Research, 18(1), 39–50.

    Article  Google Scholar 

  • Gasser, U., & Palfrey, J. (2008). Breaking down digital barriers: When and how ICT interoperability drives innovation. Cambridge: Berkman Center Research Publication.

    Google Scholar 

  • Gatignon, H., & Robertson, T. (1989). Technology diffusion: An empirical test of competitive effects. Journal of Marketing, 53(1), 35–49.

    Article  Google Scholar 

  • Gibbs, J. L., & Kraemer, K. L. (2004). A cross-country investigation of the determinants of scope of E-commerce use: An institutional approach. Electronic Markets, 14(2), 124–137.

    Article  Google Scholar 

  • Grandon, E. E., & Pearson, J. M. (2004). Electronic commerce adoption: an empirical study of small and medium US businesses. Information & Management, 42(1), 197–216.

    Article  Google Scholar 

  • Grover, V., & Goslar, M. D. (1993). The initiation, adoption, and implementation of telecommunications technologies in US organizations. Journal of Management Information Systems, 10(1), 141–163.

    Article  Google Scholar 

  • Henseler, J., Ringle, C., & Sinkovics, R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277–320.

    Google Scholar 

  • Hill, T., Smith, N. D., & Mann, M. F. (1987). Role of Efficacy Expectations in Predicting the Decision to Use Advanced Technologies: The Case of Computer. Journal of Applied Psychology, 72(2), 307–313.

    Article  Google Scholar 

  • Hong, W., & Zhu, K. (2006). Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level. Information & Management, 43(2), 204–221.

    Article  Google Scholar 

  • Hossain, M. (2014). Exploring the Perceived Measures of Privacy: RFID in Public Applications. Australasian Journal of Information Systems, 18(2), 133–148.

  • Hossain, M.A., & Quaddus, M. (2014). Developing and validating a hierarchical model of external responsiveness: A study on RFID technology. Information Systems Frontiers, 1–17. doi: 10.1007/s10796-014-9503-8

  • Hossain, M.A., & Quaddus, M. (2014). Radio frequency identification (RFID) adoption: a cross-sectional comparison of voluntary and mandatory contexts. Information Systems Frontiers, 1–20. doi: 10.1007/ s10796-013-9482-1

  • Hossain, M. A., & Quaddus, M. (2011a). Adoption factors of RFID in a voluntary environment: an empirical investigation from Australian livestock industry. In D. Sanders & K. Mizerski (Eds.), Marketing in the Age of Consumerism: Jekyll or Hyde?: Proceedings of the Australian and New Zealand Marketing Academy Conference (ANZMAC), Nov 28–30 2011. WA: Perth.

    Google Scholar 

  • Hossain, M. A. (2009). RFID in National ID Cards: A Privacy Concern, 5th Asia Pacific Computing & Philosophy Conference (pp. 16–22). Japan: Tokyo.

    Google Scholar 

  • Hossain, M. A., & Quaddus, M. (2011b). The adoption and continued usage intention of RFID: an integrated framework. Information Technology & People, 24(3), 236–256.

    Article  Google Scholar 

  • Hossain, M.A., & Quaddus, M. (2013). Does mandatory pressure increases RFID adoption?: A case study of Western Australian livestock industry, in: Dwivedi, Y., H.Z., H., Wastell, D., R., D. (Eds.), Grand Successes and Failures in IT: Private and Public Sectors. Springer, Boston, pp. 184–202.

  • Huber, B., Sweeney, E., & Smyth, A. (2004). Purchasing consortia and electronic markets-A procurement direction in integrated supply chain management. Electronic Markets, 14(4), 284–294.

    Article  Google Scholar 

  • Huyskens, C., & Loebbecke, C. (2007). RFID Adoption: Theoretical Concepts and their Practical Application in Fashion (pp. 345–361). Organizational Dynamics of Technology-Based Innovation: Diversifying the Research Agenda. Springer Boston.

    Google Scholar 

  • Igbaria, M., Guimaraes T., & Davis, G. B. (1995). Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems 11(4), 87–114.

  • Jei, W., & Sia, C. L. (2011). The process of RFID assimilation by supply chain participants in China: A technology diffusion perspective on RFID technology, Proceedings of the 17th Americas Conference on Information Systems, Detroit. Citeseer: Michigan.

    Google Scholar 

  • Jeyaraj, A., Rottman, J., & Lacity, W. (2006). A review of the predictors, linkages, and biases in IT innovation adoption research. Journal of Information Technology, 21(1), 1–23.

    Article  Google Scholar 

  • Jiang, J. J., Klein, G., & Carr, C. L. (2002). Measuring Information System Service Quality: SERVQUAL from the Other Side. MIS Quarterly, 26(2), 145–166.

    Article  Google Scholar 

  • Keen, P. G. W. (1981). Information systems and organizational change. Communications of the ACM, 24(1), 24–33.

    Article  Google Scholar 

  • Kim, B. (2003). Managing the transition of technology life cycle. Technovation, 23(5), 371–381.

    Article  Google Scholar 

  • Kim, S., & Garrison, G. (2010). Understanding users’ behaviors regarding supply chain technology: Determinants impacting the adoption and implementation of RFID technology in South Korea. International Journal of Information Management, 30(5), 388–398.

    Article  Google Scholar 

  • Kinsella, B. (2003). The Wal-mart factor. Industrial Engineer, 35, 32–36.

    Google Scholar 

  • Krasnova, H., & Weser, L. (2008). Drivers of RFID Adoption in the Automotive Industry, Proceedings of the 14th Americas Conference on Information Systems (pp. 1–8). Toronto: Canada.

    Google Scholar 

  • Kuan, K., & Chau, P. (2001). A perception-based model of EDI adoption in small businesses using a technology-organizational-environmental framework. Information and Management, 38, 507–521.

    Article  Google Scholar 

  • Lee, C.-P., & Shim, J. P. (2007). An Exploratory study of radio frequency identification (RFID) adoption in the healthcare industry. European Journal of Information Systems, 16(6), 712–724.

    Article  Google Scholar 

  • Lee, O.-K., Wang, M., Lim, K. H., & Peng, Z. (2009). Knowledge management systems diffusion in Chinese enterprises: A multistage approach using the technology-organization-environment framework. Journal of Global Information Management, 17(1), 70–84.

    Article  Google Scholar 

  • Leonard-Barton, D. (1988). Implementation characteristics of organizational innovations limits and opportunities for management strategies. Communication Research, 15(5), 603–631.

  • Levinson, M. (2004). The RFID Imperative. CIO Magazine.

  • Li, D., Lai, F., & Wang, J. (2010). E-business assimilation in China's international trade firms: the technology-organization-environment framework. Journal of Global Information Management, 18(1), 39–65.

    Article  Google Scholar 

  • Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007). Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management. MIS Quarterly, 31(1), 59–87.

    Google Scholar 

  • Lin, C.-Y. (2006). Factors affecting the innovation in logistics information systems for logistics service providers in Taiwan. Journal of Information and Optimization Sciences, 27(3), 629–648.

    Article  Google Scholar 

  • Lin, C.-Y., & Ho, Y.-H. (2009a). RFID technology adoption and supply chain performance: an empirical study in China's logistics industry. Supply Chain Management: An International Journal, 14(5), 369–378.

    Article  Google Scholar 

  • Lin, C.-Y., & Ho, Y.-H. (2009b). An Empirical Study on the Adoption of RFID Technology for Logistics Service Providers in China. International Business Research, 2(1), 23–36.

    Article  Google Scholar 

  • Lin, H.-F., & Lin, S.-M. (2008). Determinants of e-business diffusion: a test of the technology diffusion perspective. Technovation, 28(3), 135–145.

    Article  Google Scholar 

  • Marquis, D. G. (1969). A project team plus PERT equals success Or does it. Innovation, 1, 28–37.

    Google Scholar 

  • Matta, V., & Moberg, C. (2006). The development of a research agenda for RFID adoption and effectiveness in supply chains. Issues in Information Systems, 7, 246–251.

    Google Scholar 

  • Matta, V., & Moberg, C. (2007). Defining the Antecedents for Adoption of RFID in the Supply Chain. Issues in Information Systems, 8(2), 449–454.

    Google Scholar 

  • Moon, K. L., & Ngai, E. (2008). The Adoption of RFID in Fashion Retailing: A Business Value-added Framework. Industrial Management+Data Systems, 108(5), 596–612.

    Article  Google Scholar 

  • Ngai, E. W. T., & Gunasekaran, A. (2009). RFID Adoption: Issues and Challenges. International Journal of Enterprise Information Systems, 5(1), 1–8.

    Article  Google Scholar 

  • Oni, O., & Papazafeiropoulou, A. (2012). Diverse views on IT innovation diffusion among SMEs: Influencing factors of broadband adoption. Information Systems Frontiers, 1–19. DOI: 10.1007/s10796-012-9384-7

  • Orlikowski, W., & Hoffman, D. (1997). An Imporvisational Model for Change Managment: The Case of Groupware Technologies. Inventing the Organizations of the 21st Century, MIT, Boston, MA, 265–282.

  • Patterson, K., Grimm, C., & Corsi, T. (2003). Adopting New Technologies for Supply Chain Management. Transportation Research Part E, 39, 95–121.

    Article  Google Scholar 

  • Poirier, C.C., McCollum, D. (2006). RFID Strategic Implementation and ROI: a practical roadmap to success. J. ROSS Publishing.

  • Premkumar, G., Ramamurthy, K., & Nilakanta, S. (1994). Implementation of electronic data interchange: an innovation diffusion perspective. Journal of Management Information Systems, 11(2), 157–186.

    Article  Google Scholar 

  • Premkumar, G., & Roberts, M. (1999). Adoption of new information technologies in rural small businesses. Omega International Journal of Management Science, 27(4), 467–484.

    Article  Google Scholar 

  • Quaddus, M., & Hofmeyer, G. (2007). An investigation into the factors influencing the adoption of B2B trading exchanges in small business. European Journal of Information Systems, 16(3), 202–215.

    Article  Google Scholar 

  • Ranganathan, C., Dhaliwal, J. S., & Teo, T. S. H. (2004). Assimilation and Diffusion of Web Technologies in Supply Chain Management: An Examination of Key Drivers and Performance Impacts. International Journal of Electronic Commerce, 9(1), 127–161.

    Google Scholar 

  • Rai, A., Brown, P., & Tang, X. (2009). Organizational Assimilation of Electronic Procurement Innovations. Journal of Management Information Systems, 26(1), 257–296.

    Article  Google Scholar 

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

    Google Scholar 

  • Raymond, L., & Uwizeyemungu, S. (2007). A profile of ERP adoption in manufacturing SMEs. Journal of Enterprise Information Management, 20(4), 487–502.

    Article  Google Scholar 

  • Roberti, M. (2003). RFID: The Cost of Being Smart. CIO Insight.

  • Rogers, E. M. (2003). Diffusion of Innovation. New York: Free Press.

    Google Scholar 

  • Roh, J. J., Kunnathur, A., & Tarafdar, M. (2009). Classification of RFID adoption: An expected benefits approach. Information & Management, 46(6), 357–363.

    Article  Google Scholar 

  • Scharfeld, T.A. (2003). Compliance and Certification: Ensuring RFID Interoperability. Auto ID Center Technical Report, MIT-AUTOID-TR-017, www. autoidlabs. org.

  • Schmitt, P., Michahelles, F. (2009). Status of RFID/EPC Adoption, Auto-ID Labs White Paper. Auto-ID Labs, pp. 1–41.

  • Scozzi, B., Garavelli, C., & Crowston, K. (2005). Methods for modeling and supporting innovation processes in SMEs. European Journal of Innovation Management, 8(1), 120–137.

    Article  Google Scholar 

  • Scupola, A. (2003). The Adoption of Internet Commerce by SMEs in the South of Italy: an Environmental, Technological and Organizational Perspective. Journal of Global Information Technology Management, 6(1), 51–71.

    Article  Google Scholar 

  • Sharma, A., & Citurs, A. (2005). Radio Frequency Identification (RFID) Adoption Drivers: A Radical Innovation Adoption Perspective, Proceedings of the 11th Americas Conference on Information Systems (pp. 1212–1218). USA: Omaha.

    Google Scholar 

  • Sharma, A., Thomas, D., & Konsynski, B. (2008). Strategic and Institutional Perspectives in the Evaluation, Adoption, and Early Integration of Radio Frequency Identification (RFID): An Empirical Investigation on Current and Potential Adopters, Proceedings of the 41st Hawaii International Conference on System Sciences (pp. 1–10). USA: Hawaii.

  • Shen, L., Hawley, J., & Dickerson, K. (2004). E-commerce adoption for supply chain management in US apparel manufacturers. Journal of Textile and Apparel, Technology and Management, 4(1), 1–11.

    Google Scholar 

  • Shih, D., Chiu, Y., Chang, S., & Yen, D. (2008). An Empirical Study of Factors Affecting RFID's Adoption in Taiwan. Journal of Global Information Management, 16(2), 58–80.

    Article  Google Scholar 

  • Sila, I. (2013). Factors affecting the adoption of B2B e-commerce technologies. Electronic Commerce Research, 13(2), 1–38.

    Article  Google Scholar 

  • Sila, I., & Dobni, D. (2012). Patterns of B2B e-commerce usage in SMEs. Industrial Management & Data Systems, 112(8), 1255–1271.

    Article  Google Scholar 

  • Swedberg, C. (2007). Many Manufacturers Stuck in RFID Pilot Phase. RFID Journal.

  • Tellkamp, C., Wiechert, T., Thiesse F., & Fleisch, E. (2006). The adoption of RFID-based self-checkout- systems at the point-of-sale. in Project E-Society: Building Bricks, (pp. 153–165). Springer: Boston.

  • Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational statistics & data analysis, 48(1), 159–205.

    Article  Google Scholar 

  • Thompson, V. A. (1965). Bureaucracy and innovation. Administrative Science Quarterly, 1–20.

  • Thong, J. Y. L. (1999). An integrated model of information systems adoption in small businesses. Journal of Management Information Systems, 15(4), 187–214.

    Article  Google Scholar 

  • Tornatzky, L. G., & Fleischer, M. (1990). Process of Technological Innovation. Lexington, Mass.: Lexington Books.

    Google Scholar 

  • Tornatzky, L. G., & Klein, K. J. (1982). Innovation Characteristics and Innovation Adoption-Implementation: A Meta-Analysis of Findings. IEEE Transactions on Engineering Management, 29, 28–43.

    Article  Google Scholar 

  • Tsai, M.-C., Lee, W., & Wu, H.-C. (2010). Determinants of RFID adoption intention: Evidence from Taiwanese retail chains. Information and Management, 47(5), 255–261.

    Article  Google Scholar 

  • Wang, Y.-M., Wang, Y.-S., & Yang, Y.-F. (2010). Understanding the determinants of RFID adoption in the manufacturing industry. Technological Forecasting and Social Change, 77(5), 803–815.

    Article  Google Scholar 

  • Whitmore, A., Agarwal, A., & Da Xu, L. (2014). The Internet of Things—A survey of topics and trends. Information Systems Frontiers, 1–14. DOI: 10.1007/s10796-014-9489-2

  • Wen, L., Zailani, S., & Fernando, Y. (2009). Determinants of RFID adoption in supply chain among manufacturing companies in China: a discriminant analysis. Journal of Technology Management & Innovation, 4(1), 22–32.

    Article  Google Scholar 

  • Wetzels, M., Odekerken-Schroder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration. MIS Quarterly, 33(1), 177–195.

    Google Scholar 

  • Wu, N. C., Nystrom, M. A., Lin, T. R., & Yu, H. C. (2006). Challenges to global RFID adoption. Technovation, 26(12), 1317–1323.

    Article  Google Scholar 

  • Xu, S., Zhu, K., & Gibbs, J. (2004). Global Technology, Local Adoption: A Cross‐Country Investigation of Internet Adoption by Companies in the United States and China. Globalization and Electronic Commerce, 14(1), 13–24.

    Google Scholar 

  • Yin, R. K. (1979). Changing urban bureaucracies: how new practices become routinized. Lexington, MA: Lexington Books.

  • Yoon, T. E., & George, J. F. (2013). Why aren't organizations adopting virtual worlds? Computers in Human Behavior, 29(3), 772–790.

    Article  Google Scholar 

  • Zaltman, G., Duncan R. B., & Holbeck, J. (1973). Innovations and organizations. New York: John Wiley.

  • Zhu, K., & Kraemer, K. L. (2005). Post-adoption variations in usage and value of e-business by organizations: cross-country evidence from the retail industry. Information Systems Research, 16(1), 61–84.

  • Zhu, K., Kraemer, K., & Xu, S. (2003). Electronic Business Adoption by European Firms: A Cross-Country Assessment of the Facilitators and Inhibitors. European Journal of Information Systems, 12(4), 251–268.

    Article  Google Scholar 

  • Zhu, K., Dong, S., Xu, S. X., & Kraemer, K. L. (2006a). Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies. European Journal of Information Systems, 15(6), 601–616.

    Article  Google Scholar 

  • Zhu, K., Kraemer, K. L., & Dedrick, J. (2006b). Global convergence and local divergence in e-commerce: cross country analyses, Global E-Commerce: Impacts of National Environments and Policy. Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Zhu, K., Kraemer, K. L., & Xu, S. (2006c). The process of innovation assimilation by firms in different countries: A technology diffusion perspective on E-business. Management Science, 52(10), 1157–1576.

    Article  Google Scholar 

  • Zmud, R. W., & Apple, L. E. (1992). Measuring technology incorporation/infusion. Journal of Product Innovation Management, 9(2), 148–155.

    Article  Google Scholar 

Download references

Acknowledgment

The authors would like to thank the anonymous corresponding editor of the paper and two reviewers for their constructive comments and suggestions for improvement of this paper.

Author information

Authors and Affiliations

  1. School of Business, North South University, Bashundhara, Dhaka, 1229, Bangladesh

    Mohammad Alamgir Hossain

  2. School of Marketing, Curtin University, GPO Box U1987, Perth, 6845, WA, Australia

    Mohammed Quaddus

  3. EMS Research, Perth, WA, Australia

    Nazrul Islam

Authors
  1. Mohammad Alamgir Hossain
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mohammed Quaddus
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nazrul Islam
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mohammad Alamgir Hossain.

Appendix

Appendix

Table 6 Cross-loading matrix
Full size table

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hossain, M.A., Quaddus, M. & Islam, N. Developing and validating a model explaining the assimilation process of RFID: An empirical study. Inf Syst Front 18, 645–663 (2016). https://doi.org/10.1007/s10796-014-9537-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10796-014-9537-y

Keywords

Search

Navigation