IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v91y2015icp124-145.html
   My bibliography  Save this article

Detection of paradigm shifts and emerging fields using scientific network: A case study of Information Technology for Engineering

Author

Listed:
  • Prabhakaran, Thara
  • Lathabai, Hiran H.
  • Changat, Manoj

Abstract

Detection of emerging fields in any industry is of great importance to the industrialists, engineers and policy makers of business as well as state administration. Exact awareness of the paradigm which governs current research activities and chances of likely paradigm shifts which could redefine the research approaches, is very crucial for the actors of scientific community and policy makers. Excellent technologies in IT, even accelerated the scientific and applied ontological pursuit in both academia as well as industry. In this work, network approach is advocated for the identification of innovations, new paradigms and emerging fields in the IT industry in the research area ‘engineering’. The network is a scientific network of research publications which reflects the volume and flow of scientific activities. Centrality analysis, path analysis, cluster analysis, etc. are used to identify the key papers of paradigm shifts, emerging fields, relatively important clusters and works respectively. A new metric, flow vergence index is devised for cluster analysis. The paradigm shift identified from this network is RFID technology, related with the supply chain management. With proper economic and policy supports, there are some good reasons to look forward for more wonders from the industry.

Suggested Citation

  • Prabhakaran, Thara & Lathabai, Hiran H. & Changat, Manoj, 2015. "Detection of paradigm shifts and emerging fields using scientific network: A case study of Information Technology for Engineering," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 124-145.
    • Handle: RePEc:eee:tefoso:v:91:y:2015:i:c:p:124-145
    DOI: 10.1016/j.techfore.2014.02.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162514000511
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2014.02.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mendonca, Sandro & Pereira, Tiago Santos & Godinho, Manuel Mira, 2004. "Trademarks as an indicator of innovation and industrial change," Research Policy, Elsevier, vol. 33(9), pages 1385-1404, November.
    2. Leo Egghe & Ronald Rousseau, 2002. "Co-citation, bibliographic coupling and a characterization of lattice citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(3), pages 349-361, November.
    3. Chen, Anthony & Yang, Hai & Lo, Hong K. & Tang, Wilson H., 2002. "Capacity reliability of a road network: an assessment methodology and numerical results," Transportation Research Part B: Methodological, Elsevier, vol. 36(3), pages 225-252, March.
    4. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    5. Ashish Sood & Gareth M. James & Gerard J. Tellis, 2009. "Functional Regression: A New Model for Predicting Market Penetration of New Products," Marketing Science, INFORMS, vol. 28(1), pages 36-51, 01-02.
    6. Marc Bourreau & Michel Gensollen & François Moreau, 2012. "The Impact of a Radical Innovation on Business Models: Incremental Adjustments or Big Bang?," Industry and Innovation, Taylor & Francis Journals, vol. 19(5), pages 415-435, July.
    7. Claudia A. Perry & Ronald E. Rice, 1998. "Scholarly communication in developmental dyslexia: Influence of network structure on change in a hybrid problem area," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(2), pages 151-168, February.
    8. Scott, John, 1988. "Social Network Analysis and Intercorporate Relations," Hitotsubashi Journal of commerce and management, Hitotsubashi University, vol. 23(1), pages 53-68, December.
    9. Marc Bourreau & Michel Gensollen & François Moreau, 2012. "The Impact of a Radical Innovation on Business Models: Incremental Adjustments or Big Bang?," Industry and Innovation, Taylor & Francis Journals, vol. 19(5), pages 415-435, July.
    10. Sarac, Aysegul & Absi, Nabil & Dauzère-Pérès, Stéphane, 2010. "A literature review on the impact of RFID technologies on supply chain management," International Journal of Production Economics, Elsevier, vol. 128(1), pages 77-95, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ba, Zhichao & Ma, Yaxue & Cai, Jinyao & Li, Gang, 2023. "A citation-based research framework for exploring policy diffusion: Evidence from China's new energy policies," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    2. Thara Prabhakaran & Hiran H. Lathabai & Susan George, 2019. "Competing, complementary and co-existing paradigms in techno-scientific literature: A case study of Nanotechnology for engineering," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 941-977, March.
    3. Susan George & Hiran H. Lathabai & Thara Prabhakaran & Manoj Changat, 2020. "A framework towards bias-free contextual productivity assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 127-157, January.
    4. Thara Prabhakaran & Hiran H. Lathabai & Susan George & Manoj Changat, 2018. "Towards prediction of paradigm shifts from scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1611-1644, December.
    5. Xian Li & Ronald Rousseau & Liming Liang & Fangjie Xi & Yushuang Lü & Yifan Yuan & Xiaojun Hu, 2022. "Is low interdisciplinarity of references an unexpected characteristic of Nobel Prize winning research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2105-2122, April.
    6. Huenteler, Joern & Schmidt, Tobias S. & Ossenbrink, Jan & Hoffmann, Volker H., 2016. "Technology life-cycles in the energy sector — Technological characteristics and the role of deployment for innovation," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 102-121.
    7. Hiran H. Lathabai & Susan George & Thara Prabhakaran & Manoj Changat, 2018. "An integrated approach to path analysis for weighted citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1871-1904, December.
    8. de Paulo, Alex Fabianne & Nunes, Breno & Porto, Geciane, 2020. "Emerging green technologies for vehicle propulsion systems," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    9. Wei, Xiaoyong & Lo, Chris.K.Y. & Jung, Sojin & Choi, Tsan-Ming, 2021. "From co-consumption to co-production: A systematic review and research synthesis of collaborative consumption practices," Journal of Business Research, Elsevier, vol. 129(C), pages 282-294.
    10. Sohrabi, Babak & Khalilijafarabad, Ahmad, 2018. "Systematic method for finding emergence research areas as data quality," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 280-287.
    11. Xianzhong Cao & Bo Chen & Yi Guo & Zhenzhen Yi, 2023. "The Impact of Intra-City and Inter-City Innovation Networks on City Economic Growth: A Case Study of the Yangtze River Delta in China," Land, MDPI, vol. 12(7), pages 1-17, July.
    12. Hiran H. Lathabai & Thara Prabhakaran & Manoj Changat, 2017. "Contextual productivity assessment of authors and journals: a network scientometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 711-737, February.
    13. Hwang, Seonho & Shin, Juneseuk, 2019. "Extending technological trajectories to latest technological changes by overcoming time lags," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 142-153.
    14. Lathabai, Hiran H. & Prabhakaran, Thara & Changat, Manoj, 2015. "Centrality and Flow Vergence gradient based Path analysis of scientific literature: A case study of Biotechnology for Engineering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 157-168.
    15. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ancillai, Chiara & Sabatini, Andrea & Gatti, Marco & Perna, Andrea, 2023. "Digital technology and business model innovation: A systematic literature review and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    2. Michaela Sprenger & Tobias Mettler & Robert Winter, 0. "A viability theory for digital businesses: Exploring the evolutionary changes of revenue mechanisms to support managerial decisions," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    3. Persson, Olle, 2010. "Identifying research themes with weighted direct citation links," Journal of Informetrics, Elsevier, vol. 4(3), pages 415-422.
    4. Charlotte Krychowski & Bertrand Quelin & Bulat Sanditov, 2017. "Experimenting business models with network effects : a real options perspective," Post-Print hal-01582498, HAL.
    5. Edurne A. Inigo & Laura Albareda & Paavo Ritala, 2017. "Business model innovation for sustainability: exploring evolutionary and radical approaches through dynamic capabilities," Industry and Innovation, Taylor & Francis Journals, vol. 24(5), pages 515-542, July.
    6. Juan D. Montoro-Pons & Manuel Cuadrado-García, 2018. "“Let’s make lots of money”: the determinants of performance in the recorded music sector," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(2), pages 287-307, May.
    7. Gamble, Jordan Robert & Brennan, Michael & McAdam, Rodney, 2017. "A rewarding experience? Exploring how crowdfunding is affecting music industry business models," Journal of Business Research, Elsevier, vol. 70(C), pages 25-36.
    8. Matthias Fabian Gregersen Trischler & Jason Li-Ying, 2023. "Digital business model innovation: toward construct clarity and future research directions," Review of Managerial Science, Springer, vol. 17(1), pages 3-32, January.
    9. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    10. Yongjiang Hou & Zheng Shen, 2022. "Research Trends, Hotspots and Frontiers of Ozone Pollution from 1996 to 2021: A Review Based on a Bibliometric Visualization Analysis," Sustainability, MDPI, vol. 14(17), pages 1-27, August.
    11. Reis, G.G. & Heidemann, M.S. & Goes, H.A.A. & Molento, C.F.M., 2021. "Can radical innovation mitigate environmental and animal welfare misconduct in global value chains? The case of cell-based tuna," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    12. Arash Rezazadeh & Ana Carvalho, 2018. "A value-based approach to business model innovation: Defining the elements of the concept," NIPE Working Papers 12/2018, NIPE - Universidade do Minho.
    13. Michaela Sprenger & Tobias Mettler & Robert Winter, 2017. "A viability theory for digital businesses: Exploring the evolutionary changes of revenue mechanisms to support managerial decisions," Information Systems Frontiers, Springer, vol. 19(4), pages 899-922, August.
    14. Mary J. Benner & Joel Waldfogel, 2016. "The Song Remains the Same? Technological Change and Positioning in the Recorded Music Industry," Strategy Science, INFORMS, vol. 1(3), pages 129-147, September.
    15. Charlotte Krychowski & Bertrand Quelin & Bulat Sanditov, 2017. "Experimenting business models with network effects : a real options perspective," Grenoble Ecole de Management (Post-Print) hal-01582498, HAL.
    16. Maikel Kishna & Simona Negro & Floortje Alkemade & Marko Hekkert, 2017. "Innovation at the end of the life cycle: discontinuous innovation strategies by incumbents," Industry and Innovation, Taylor & Francis Journals, vol. 24(3), pages 263-279, April.
    17. Jang, Kyeong Kook & Bae, Joonheui & Kim, Kyung Hoon, 2021. "Servitization experience measurement and the effect of servitization experience on brand resonance and customer retention," Journal of Business Research, Elsevier, vol. 130(C), pages 384-397.
    18. Hossein Mahdavimazdeh & Loren Falkenberg & Madelynn Stackhouse, 2019. "The Innovation Value Canvas: A Guide To Defining Value Propositions And Target Customers For Commercialization Of Technological Innovations," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 24(02), pages 1-29, February.
    19. Athena Roumboutsos & St�phane Saussier, 2014. "Public-private partnerships and investments in innovation: the influence of the contractual arrangement," Construction Management and Economics, Taylor & Francis Journals, vol. 32(4), pages 349-361, April.
    20. Germano Glufke Reis & Marina Sucha Heidemann & Katherine Helena Oliveira de Matos & Carla Forte Maiolino Molento, 2020. "Cell-Based Meat and Firms’ Environmental Strategies: New Rationales as per Available Literature," Sustainability, MDPI, vol. 12(22), pages 1-16, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:91:y:2015:i:c:p:124-145. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.