Technology diffusion: forecasting with bibliometric analysis and Bass model

Purpose – The purpose of this paper is to use bibliometric analysis to forecast RFID technology and uses the adoption of barcode scanner to model the RFID scanner adoption in the US retail market.Design/methodology/approach – Forecasting emerging technologies and identifying the rate of diffusion of products based on these technologies is difficult because of lack of data. This paper uses techniques such as bibliometric analysis and Bass model based on analogous products.Findings – The authors were able to come up with a good Bass model for the adoption of RFID scanners in the retail sector. And according to the Bass model it appears that it will take at least seven or eight years for the retailers to adopt to this new technology at their point‐of‐sale.Originality/value – This paper attempts to use bibliometric analysis and Bass model for forecasting technologies and provides a new research discussion as results from these two are compared.

[1]  Matthew E Falagas,et al.  A bibliometric analysis of global trends of research productivity in tropical medicine. , 2006, Acta tropica.

[2]  Zongwei Luo,et al.  Experimental Analysis of an RFID Security Protocol , 2006, 2006 IEEE International Conference on e-Business Engineering (ICEBE'06).

[3]  Jan Youtie,et al.  Measures for knowledge-based economic development: Introducing data mining techniques to economic developers in the state of Georgia and the US South , 2006 .

[4]  L. Butler,et al.  Explaining Australia’s increased share of ISI publications—the effects of a funding formula based on publication counts , 2003 .

[5]  T.U. Daim,et al.  Technology forecasting using bibliometric analysis and system dynamics , 2005, A Unifying Discipline for Melting the Boundaries Technology Management:.

[6]  Ari Juels,et al.  RFID security and privacy: a research survey , 2006, IEEE Journal on Selected Areas in Communications.

[7]  Tugrul U. Daim,et al.  Forecasting the future of data storage: case of hard disk drive and flash memory , 2008 .

[8]  Tugrul U. Daim,et al.  A foresight based on scientific indicators:a framework drawn from the case of laptop battery alternatives , 2008 .

[9]  Jeeyeon Kim,et al.  Privacy threats and issues in mobile RFID , 2006, First International Conference on Availability, Reliability and Security (ARES'06).

[10]  Byungun Yoon,et al.  A systematic approach for identifying technology opportunities: Keyword-based morphology analysis , 2005 .

[11]  Sinan Salman,et al.  DIVA: a visualization system for exploring document databases for technology forecasting , 2002 .

[12]  Rick Huhn,et al.  Security Standards for the RFID Market , 2005, IEEE Secur. Priv..

[13]  Martin Meyer,et al.  Are patenting scientists the better scholars?: An exploratory comparison of inventor-authors with their non-inventing peers in nano-science and technology , 2006 .

[14]  Hsiao-Cheng Yu,et al.  Challenges to Global RFID Adoption , 2006, 2006 Technology Management for the Global Future - PICMET 2006 Conference.

[15]  Sang Ho Lee,et al.  Security and Privacy on Authentication Protocol for Low-cost RFID , 2006, 2006 International Conference on Computational Intelligence and Security.

[16]  Andrew S. Tanenbaum,et al.  The evolution of RFID security , 2006, IEEE Pervasive Computing.

[17]  A.M. Madni,et al.  Models for Cost-Benefit Analysis of RFID Implementations in Retail Stores , 2007, IEEE Systems Journal.

[18]  Nae-Yang Jeong,et al.  Moderating effect of personal innovativeness on mobile-RFID services: Based on Warshaw's purchase intention model , 2009 .

[19]  Ronald N. Kostoff,et al.  Research requirements for research impact assessment , 1995 .

[20]  Sanjay E. Sarma,et al.  Auto ID systems and intelligent manufacturing control , 2003 .

[21]  D. Tigert,et al.  The Bass New Product Growth Model: A Sensitivity Analysis for a High Technology Product , 1981 .

[22]  Ronald N. Kostoff,et al.  Text mining using database tomography and bibliometrics: A review , 2001 .

[23]  Ronald N. Kostoff,et al.  Science and technology innovation , 1999 .

[24]  Tugrul U. Daim,et al.  Forecasting emerging technologies: Use of bibliometrics and patent analysis , 2006 .

[25]  Kimberly S. Hamilton,et al.  The changing composition of innovative activity in the US -- a portrait based on patent analysis , 2001 .

[26]  Héctor D. Cortés,et al.  Macromolecule mass spectrometry: Citation mining of user documents , 2004, Journal of the American Society for Mass Spectrometry.

[27]  Eckhard Lichtenthaler,et al.  Technological change and the technology intelligence process: a case study , 2004 .

[28]  Gideon S. Mann,et al.  Bibliometric impact measures leveraging topic analysis , 2006, Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '06).

[29]  Hyun-seok Kim,et al.  Analysis of the RFID Security Protocol for Secure Smart Home Network , 2006, 2006 International Conference on Hybrid Information Technology.

[30]  Byungun Yoon,et al.  A text-mining-based patent network: Analytical tool for high-technology trend , 2004 .

[31]  Sungjoo Lee,et al.  The idiosyncrasy and dynamism of technological innovation across industries: patent citation analysis , 2005 .

[32]  Ronald N. Kostoff,et al.  Quantitative/qualitative federal research impact evaluation practices , 1994 .

[33]  Alan L. Porter,et al.  Innovation forecasting , 1997, Innovation in Technology Management. The Key to Global Leadership. PICMET '97.

[34]  Joo-Hee Park,et al.  Design and implementation of an effective mobile healthcare system using mobile and RFID technology , 2005, Proceedings of 7th International Workshop on Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005..

[35]  Alan L. Porter,et al.  QTIP: Quick technology intelligence processes , 2005 .

[36]  Hiroaki Ogata,et al.  Towards a new digital library infrastructure with RFID for mobile e-learning , 2005, IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'05).

[37]  Ronald N. Kostoff,et al.  Electrochemical power text mining using bibliometrics and database tomography , 2002 .

[38]  K. Seetharaman,et al.  Technology Forecasting of RFID by Using Bibliometric Analysis and Bass Diffusion Model , 2007, PICMET '07 - 2007 Portland International Conference on Management of Engineering & Technology.

[39]  Dipak C. Jain,et al.  Why the Bass Model Fits without Decision Variables , 1994 .

[40]  Alan L. Porter,et al.  Technology opportunities analysis , 1995 .

[41]  E. Levitas,et al.  Survival and the introduction of new technology: A patent analysis in the integrated circuit industry , 2006 .

[42]  F. Bass.  A new product growth model for consumer durables , 1976 .

[43]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[44]  George Karypis,et al.  Power source roadmaps using bibliometrics and database tomography , 2005 .

[45]  Eckhard Lichtenthaler.  Managing technology intelligence processes in situations of radical technological change , 2007 .

[46]  George Karypis,et al.  The structure and infrastructure of Mexico's science and technology , 2005 .

[47]  John G. Carlson,et al.  The impact of real-time data communication on inventory management , 1999 .

[48]  John de la Mothe.  The revision of international science indicators , 1992 .

[49]  Sungjoo Lee,et al.  Technological Forecasting & Social Change Business planning based on technological capabilities : Patent analysis for technology-driven roadmapping ☆ , 2009 .

[50]  Thorsten Teichert,et al.  Inventive progress measured by multi-stage patent citation analysis , 2005 .

[51]  P. Jeffrey,et al.  The use of bibliometric indicators to explore industry–academia collaboration trends over time in the field of membrane use for water treatment , 2005 .

[52]  Dong-Ik Oh,et al.  R-LIM: an Affordable Library Search System Based on RFID , 2006, 2006 International Conference on Hybrid Information Technology.

[53]  Yu Cong,et al.  RFID-based EPC System and Information Services in Intelligent Transportation System , 2006, 2006 6th International Conference on ITS Telecommunications.

[54]  Duncan McFarlane,et al.  Auto-ID Use Case: Improving Differential Item Pricing in a Retail Company - Impact on Existing Procedures and Information Systems , 2003 .