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REVIEW ARTICLE
Analyzing and mapping the use of trademark and patent data in management and business research:
A bibliometric analysis
1
Management, Akdeniz University, Turkey
Submission date: 2025-11-05
Final revision date: 2026-01-19
Acceptance date: 2026-02-09
Online publication date: 2026-04-01
Publication date: 2026-03-25
Management 2026;(1):30-69
KEYWORDS
JEL CLASSIFICATION CODES
M00
M1
O32
O34
F17
TOPICS
ABSTRACT
Research background and purpose:
Trademark and patent data are widely recognized as key indicators of innovation and creativity. In recent years, the scope and analytical value of these datasets have expanded considerably, enabling the generation of novel insights and enhancing the informational content of intellectual property records. This study examines the principal themes underlying the use of trademark and patent data, demonstrating their relevance and applicability across diverse areas of management and business research. Moreover, the study identifies the most salient topics and uncovers potential research gaps that warrant further investigation and hold promise for advancing the understanding and application of innovation metrics.
Design/methodology/approach:
This exploratory–descriptive study employs bibliometric methods to analyze scholarly publications on patent and trademark data. Co-word and thematic evolution analyses were conducted to identify trends and intellectual structures within the literature. Author-assigned keywords were systematically extracted and analyzed. Data were retrieved from the Web of Science (WoS) database, covering the period 2012–2023, with the search limited to the business, administration, and management category.
Findings:
The findings demonstrate that the growing relevance of scientific databases is closely linked to the strategic use of patent and trademark data in driving knowledge accumulation and innovation insights. The results of the study demonstrate that there is a significant scope for further exploration of a variety of concepts and topics related to interdisciplinary fields within the datasets of patents and trademarks. The findings of this review illustrate that the emergence of key themes associated with the accumulation of scientific databases is driven by the utilization of patent and trademark datasets. These include the terms "innovation", "research and development", "performance", "technology", "absorptive capacity" and "knowledge". The themes of "entrepreneurship", "sustainability", "leadership", "organizational change", "self-efficacy", "self-employment", "social capital", "commercialization" and "creativity" are evident in both the patent and trademark datasets and can be distinguished from other themes in literature.
Value added and limitations:
This review adds value by identifying dominant research areas, influential publications, and emerging trends, while also highlighting understudied topics and knowledge gaps that offer opportunities for future research and strategic advancement of the field. A potential limitation is the reliance on a single academic database.
Trademark and patent data are widely recognized as key indicators of innovation and creativity. In recent years, the scope and analytical value of these datasets have expanded considerably, enabling the generation of novel insights and enhancing the informational content of intellectual property records. This study examines the principal themes underlying the use of trademark and patent data, demonstrating their relevance and applicability across diverse areas of management and business research. Moreover, the study identifies the most salient topics and uncovers potential research gaps that warrant further investigation and hold promise for advancing the understanding and application of innovation metrics.
Design/methodology/approach:
This exploratory–descriptive study employs bibliometric methods to analyze scholarly publications on patent and trademark data. Co-word and thematic evolution analyses were conducted to identify trends and intellectual structures within the literature. Author-assigned keywords were systematically extracted and analyzed. Data were retrieved from the Web of Science (WoS) database, covering the period 2012–2023, with the search limited to the business, administration, and management category.
Findings:
The findings demonstrate that the growing relevance of scientific databases is closely linked to the strategic use of patent and trademark data in driving knowledge accumulation and innovation insights. The results of the study demonstrate that there is a significant scope for further exploration of a variety of concepts and topics related to interdisciplinary fields within the datasets of patents and trademarks. The findings of this review illustrate that the emergence of key themes associated with the accumulation of scientific databases is driven by the utilization of patent and trademark datasets. These include the terms "innovation", "research and development", "performance", "technology", "absorptive capacity" and "knowledge". The themes of "entrepreneurship", "sustainability", "leadership", "organizational change", "self-efficacy", "self-employment", "social capital", "commercialization" and "creativity" are evident in both the patent and trademark datasets and can be distinguished from other themes in literature.
Value added and limitations:
This review adds value by identifying dominant research areas, influential publications, and emerging trends, while also highlighting understudied topics and knowledge gaps that offer opportunities for future research and strategic advancement of the field. A potential limitation is the reliance on a single academic database.
REFERENCES (108)
1.
Agostini, L., Filippini, R., & Nosella, A. (2016). Protecting intellectual property to enhance firm performance: Does it work for SMEs? Knowledge Management Research & Practice, 14(1), 96–105. https://doi.org/10.1057/kmrp.2....
2.
Agovino, M., Aldieri, L., Garofalo, A., & Vinci, C. P. (2018). R&D spillovers and employment: Evidence from European patent data. Empirica, 45(2), 247–260. https://doi.org/10.1007/s10663....
3.
Alan, H. & Köker, A. R. (2021). Structural Social Capital Studies in Management and Organization Literature: A Bibliometric Network Study. Journal of Management and Business Administration, 29(4), 2-31. https://doi.org/ 10.7206/cemj.2658-0845.58.
4.
Alshowaish, H., Al-Ohali, Y., & Al-Nafjan, A. (2022). Trademark image similarity detection using convolutional neural network. Applied Sciences, 12, 1752. https://doi.org/10.3390/app120....
5.
Altuntaş, S., Dereli, T., & Kusiak, A. (2015). Analysis of patent documents with weighted association rules. Technological Forecasting and Social Change, 92, 249–262. https://doi.org/10.1016/j.tech....
6.
Amara, N., Landry, R., & Traoré, N. (2008). Managing the protection of innovations in knowledgeintensive business services. Research Policy, 37(9), 1530–1547. https://doi.org/10.1016/j.resp....
7.
Ardila, H. E. M., Florez, L. C. G., & Castro, J. F. G. (2020). Dataset on technological alliances by using joint patents in the biotechnology industry. Data in Brief, 32, 106124. https://doi.org/10.1016/j.dib.....
8.
Barber, B., & Diestre, L. (2022). Can firms avoid tough patent examiners through examinershopping? Strategic timing of citations in USPTO patent applications. Strategic Management Journal, 43, 1854–1871. https://doi.org/10.1002/smj.33....
9.
Bei, X. (2019). Trademarks, specialized complementary assets, and the external sourcing of innovation. Research Policy, 48, 103709. https://doi.org/10.1016/j.resp....
10.
Bekkers, R., & Martinelli, A. (2012). Knowledge positions in high-tech markets: Trajectories, standards, strategies and true innovators. Technological Forecasting and Social Change, 79, 1192-1216. https://doi.org/10.1016/j.tech....
11.
Buddelmeyer, H., Jensen, P. H., & Webster, E. (2010). Innovation and the determinants of company survival. Oxford Economic Papers, 62(2), 261–285. https://doi.org/10.1093/oep/gp....
12.
Butticè, V., Caviggioli, F., Franzoni, C., Scellatob, G., Stryszowskie, P., & Thumm, N. (2020). Counterfeiting in digital technologies: An empirical analysis of the economic performance and innovative activities of affected companies. Research Policy, 49(5), 103959. https://doi.org/10.1016/j.resp....
13.
Castaldi, C., & Dosso, M. (2018). From R&D to market: Using trademarks to capture the market capability of top R&D investors (JRC Working Papers on Corporate R&D and Innovation, No. 01/2018). European Commission, Joint Research Centre (JRC). https://hdl.handle.net/10419/2....
14.
Castaldi, C. (2020). All the great things you can do with trademark data: Taking stock and looking ahead. Strategic Organization, 18(3), 472–484. https://doi.org/10.1177/147612....
15.
Castaldi, C. & Mendonça, S. (2022). Regions and trademarks: Research opportunities and policy insights from leveraging trademarks in regional innovation studies. Regional Studies, 56(2), 177–189. https://doi.org/10.1080/003434....
16.
Castelnovo, P. (2022). Innovation in private and state-owned enterprises: A cross-industry analysis of patenting activity. Structural Change and Economic Dynamics, 62, 98–113. https://doi.org/10.1016/j.stru....
17.
Chang, S. H. (2022). Technology network and development trends of government-funded patents. International Journal of Innovation Science, 15(2), 329–346. https://doi.org/10.1108/IJIS-1....
18.
Choe, H., Lee, D. H., Kim, H. D., & Seo, W. (2016). Structural properties and inter-organizational knowledge flows of patent citation network: The case of organic solar cells. Renewable and Sustainable Energy Reviews, 55, 361–370. https://doi.org/10.1016/j.rser....
19.
Christodoulou, D., Lev, B., & Ma, L. (2018). The productivity of Chinese patents: The role of business area and ownership type. International Journal of Production Economics, 199, 107–124. https://doi.org/10.1016/j.ijpe....
20.
Choi, J. & Hwang, Y.-S. (2014). Patent keyword network analysis for improving technology development efficiency, Technological Forecasting and Social Change, 83(C), 170-182. https://doi.org/10.1016/j.tech....
21.
Coase, R. H. (1960). The problem of social cost. Journal of Law and Economics, 3, 1–44.
22.
Correa, J. A., & Ornaghi, C. (2014). Competition & innovation: Evidence from U.S. patent and productivity data. Journal of Industrial Economics, 62(2), 258–285. https://doi.org/10.1111/joie.1....
23.
Crass, D., Czarnitzki, D., & Toole, A. A. (2019). The dynamic relationship between investments in brand equity and firm profitability: Evidence using trademark registrations. International Journal of the Economics of Business, 26(1), 157–176. https://doi.org/10.1080/135715....
24.
Çela, M. (2015). The importance of trademarks and a review of empirical studies. European Journal of Sustainable Development, 4(3), 125–134. https://doi.org/10.14207/ejsd.....
25.
Daim, T., Iskin, I., Li, X., Zielsdorff, C., Bayraktaroglu, A. E., Dereli, T., & Durmusoglu, A. (2012). Patent analysis of wind energy technology using the patent alert system. World Patent Information, 34(1), 37–47. https://doi.org/10.1016/j.wpi.....
26.
Dang, J., & Motohashi, K. (2015). Patent statistics: A good indicator for innovation in China? Patent subsidy program impacts on patent quality. China Economic Review, 35, 137–155. https://doi.org/10.1016/j.chie....
27.
DeGrazia, C. A. W., Myers, A., & Toole, A. A. (2020). Innovation activities and business cycles: Are trademarks a leading indicator? Industry and Innovation, 27(1–2), 184–203. https://doi.org/10.1080/136627....
28.
De Rassenfosse, G. (2017). An assessment of how well we account for intangibles. Industrial and Corporate Change, 26(3), 517–534. https://doi.org/10.1093/icc/dt....
29.
De Vries, G., Pennings, E., Block, J. H., & Fisch, C. (2017). Trademark or patent? The effects of market concentration, customer type and venture capital financing on start-ups’ initial IP applications. Industry and Innovation, 24(4), 325–345. https://doi.org/10.1080/136627....
30.
Dong, J. Q., & Yang, C.-H. (2019). Information technology and innovation outcomes: Is knowledge recombination the missing link? European Journal of Information Systems, 28(6), 612–626. https://doi.org/10.1080/096008....
31.
Dosi, G., Grazzi, M. & Moschella, D. (2017). What do firms know? What do they produce? A new look at the relationship between patenting profiles and patterns of product diversification, Small Bus Econ. 48, 413–429. https://doi.org/ 10.1007/s11187-016-9783-0.
32.
Flikkema, M. J., De Man, A. P., & Wolters, M. J. J. (2010). New trademark registration as an indicator of innovation: Results of an explorative study of Benelux trademark data (Research Memorandum No. 2010-9). Vrije Universiteit Amsterdam, Faculty of Economics and Business Administration. http://degree.ubvu.vu.nl/repec....
33.
Flikkema, M., De Man, A. P., & Castaldi, C. (2014). Are trademark counts a valid indicator of innovation? Results of an in-depth study of new Benelux trademarks filed by SMEs. Industry and Innovation, 21(4), 310–331. https://doi.org/10.1080/136627....
34.
Flikkema, M., Castaldi, C., De Man, A. P., & Seip, M. (2015). Explaining the trademark–innovation linkage: The role of patents and trademark filing strategies. Academy of Management Proceedings, 2015(1), 16624. https://doi.org/10.5465/ambpp.....
35.
Flikkema, M., Castaldi, C., De Man, A. P., & Seip, M. (2019). Trademarks’ relatedness to product and service innovation: A branding strategy approach. Research Policy, 48(6), 1340–1353. https://doi.org/10.1016/j.resp....
36.
Filippetti, A., Gkotsis, P., Vezzani, A., et al. (2020). Are innovative regions more resilient? Evidence from Europe in 2008–2016. Economics of Policy, 37, 807–832. https://doi.org/10.1007/s40888....
37.
Fong, P. S. W., Chang, X., & Chen, Q. (2018). Faculty patent assignment in the Chinese mainland: Evidence from the top 35 patent application universities. Journal of Technology Transfer, 43, 69–95. https://doi.org/10.1007/s10961....
38.
Forestal, R. L., Lee, H. I., Pi, S. M., & Liu, S.-H. (2022). Spatio-temporal clustering analysis and technological forecasting of nanotechnology using patent data. Technology Analysis & Strategic Management, 36(5), 1037–1053. https://doi.org/10.1080/095373....
39.
Friesike, S. (2011). Profiting from innovation by managing intellectual property [Doctoral dissertation, University of St. Gallen]. https://www.e-helvetica.nb.adm....
40.
Giczy, A. V., Pairolero, N. A., & Toole, A. A. (2022). Identifying artificial intelligence (AI) invention: A novel AI patent dataset. The Journal of Technology Transfer, 47, 476–505. https://doi.org/10.1007/s10961....
41.
Goel, R.K. & Saunoris, J.W. (2020). Where is the entrepreneurship bang for the patenting buck? Utility versus design patents. Managerial and Decision Economics, 41, 25–35. https://doi.org/10.1002/mde.30....
42.
González-Pedraz, C., & Mayordomo, S. (2012). Trademark activity and the market performance of U.S. commercial banks. Journal of Business Economics and Management, 13(5), 931–950. https://doi.org/10.3846/161116....
43.
Gotsch, M., & Hipp, C. (2012). Measurement of innovation activities in the knowledge-intensive services industry: A trademark approach. The Service Industries Journal, 32(13), 2167–2184. https://doi.org/10.1080/026420....
44.
Gotsch, M., & Hipp, C. (2014). Using trademarks to measure innovation in knowledge-intensive business services. Technology Innovation Management Review, 4(5), 18-30. https://doi.org/10.22215/timre....
45.
Graham, S. J. H., Marco, A. C., & Myers, A. F. (2018). Monetizing marks: Insights from the USPTO trademark assignment dataset. Journal of Economics & Management Strategy, 27, 403–432. https://doi.org/10.1111/jems.1....
46.
Graham, S. J. H., Hancock, G., Marco, A. C., & Myers, A. (2013). The USPTO trademark case files dataset: Descriptions, lessons, and insights. Journal of Economics & Management Strategy, 22(4), 669–705. https://doi.org/10.1111/jems.1....
47.
Greenhalgh, C., & Rogers, M. (2007). Trade marks and performance in UK firms: Evidence of Schumpeterian competition through innovation (Economics Discussion Paper No. 297). University of Oxford.
48.
Gress, B. (2010). Properties of the USPTO patent citation network: 1963–2002. World Patent Information, 32(1), 3–21. https://doi.org/10.1016/j.wpi.....
49.
Griffiths, W. E., Jensen, P. H., & Webster, E. (2005). The effects on firm profits of the stock of intellectual property rights (IPRIA Working Paper No. 05/05). Intellectual Property Research Institute of Australia.
50.
Guderian, C.C., Bican, P.M., Riar, F.J. & Chattopadhyay, S. (2021), Innovation management in crisis: patent analytics as a response to the COVID-19 pandemic. R&D Management, 51, 223-239. https://doi.org/10.1111/radm.1....
51.
Heikkilä, J. (2019). IPR gender gaps: A first look at utility model, design right and trademark filings. Scientometrics, 118, 869–883.
52.
Helmers, C., & Rogers, M. (2010). Innovation and the survival of new firms in the UK. Review of Industrial Organization, 36(3), 227–248. https://doi.org/10.1007/s11151....
53.
Hipp, C., & Grupp, H. (2005). Innovation in the service sector: The demand for service-specific innovation measurement concepts and typologies. Research Policy, 34(4), 517–535. https://doi.org/10.1016/j.resp....
54.
Hu, X., Rousseau, R., & Chen, J. (2012). A new approach for measuring the value of patents based on structural indicators for ego patent citation networks. Journal of the American Society for Information Science and Technology, 63(9), 1834–1842. https://doi.org/10.1002/asi.22....
55.
Hur, W. (2017). The patterns of knowledge spillovers across technology sectors evidenced in patent citation networks. Scientometrics, 111, 595–619. https://doi.org/10.1007/s11192....
56.
Iversen, E. J., & Herstad, S. J. (2022). Dynamics of regional diversification: A new approach using trademark data. Regional Studies, 56(2), 276–289. https://doi.org/10.1080/003434....
57.
Jensen, P. H., & Webster, E. (2008). Labelling characteristics and demand for retail grocery products in Australia. Australian Economic Papers, 47(2), 129–140. https://doi.org/10.1111/j.1467....
58.
Jensen, P. H., & Webster, E. (2004). Patterns of trademarking activity in Australia (IPRIA Working Paper No. 02/04). University of Melbourne, Intellectual Property Research Institute of Australia. https://melbourneinstitute.uni....
59.
Kaivo-Oja, J. (2016). Benchmarking analysis of patent and trademark applications in the European Union: A comprehensive EU innovation policy evaluation for years 1960–2013. European Integration Studies, 10, 169–190. https://doi.org/10.5755/j01.ei....
60.
Kim, J., & Bae, H. (2017). A novel approach to forecast promising technology through patent analysis. Technological Forecasting and Social Change, 118, 11–26. https://doi.org/10.1016/j.tech....
61.
Klemetsen, M. E., Bye, B., & Raknerud, A. (2018). Can Direct Regulations Spur Innovations in Environmental Technologies? A Study on Firm-Level Patenting. The Scandinavian Journal of Economics, 120(2), 338–371. http://www.jstor.org/stable/45....
62.
Krasnikov, A., Mishra, S., & Orozco, D. (2009). Evaluating the financial impact of branding using trademarks: A framework and empirical evidence. Journal of Marketing, 73(6), 154–166. https://doi.org/10.1509/jmkg.7....
63.
Kwon, O. (2019). A study on how startups approach sustainable development through intellectual property. Sustainable Development, 28(4), 613–625. https://doi.org/10.1002/sd.201....
64.
Lawson, C. (2013). Academic inventions outside the University: Investigating patent ownership in the UK. Industry and Innovation, 20(5), 385-398. https://doi.org/10.1080/136627....
65.
Lee, M., & Lee, S. (2017). Identifying new business opportunities from competitor intelligence: An integrated use of patent and trademark databases. Technological Forecasting and Social Change, 119, 170–183. https://doi.org/10.1016/j.tech....
66.
Lee, C., & Lee, G. (2019). Technology opportunity analysis based on recombinant search: Patent landscape analysis for idea generation. Scientometrics, 121(2), 603–632. https://doi.org/10.1007/s11192....
67.
Lee, W. S., Han, E. J., & Sohn, S. Y. (2015). Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents. Technological Forecasting & Social Change, 100, 317–329. https://doi.org/10.1016/j.tech....
68.
Lee, K., Kang, R., & Park, D. (2022). How industrial design matters for firm growth at different stages of development: Evidence from Korea, 1970s to 2010s. Asian Economic Journal, 36(2), 101–126. https://doi.org/10.1111/asej.1....
69.
Lin, L. L. H., Lyu, Y., & Cheng, L. (2021). Invulnerability in innovation networks: The importance of technology cluster coupling and network centralization. Technology Analysis & Strategic Management, 35(4), 451–463. https://doi.org/10.1080/095373....
70.
Llerena, P., & Millot, V. (2020). Two better than one? Modelling the complementary or substitute relationship between patents and trademarks. Industry and Innovation, 27(1–2), 52–79. https://doi.org/10.1080/136627....
71.
Malhotra, A., et al. (2021). How do new use environments influence a technology’s knowledge trajectory? A patent citation network analysis of lithium-ion battery technology. Research Policy, 50, 104318. https://doi.org/10.1016/j.resp....
72.
Melnyk, V., Giarratana, M.S. & Torres, A. (2014), Marking your trade: cultural factors in the prolongation of trademarks, Journal of Business Research, 67 (4), 478-485. https://doi.org/10.1016/j.jbus....
73.
Mendonça, S., Pereira, T. S., & Godinho, M. M. (2004). Trademarks as an indicator of innovation and industrial change. Research Policy, 33(9), 1385–1404. https://doi.org/10.1016/j.resp....
74.
Millot, V. (2009). Trademarks as an indicator of product and marketing innovation (OECD Science, Technology and Industry Working Papers, No. 2009/6). OECD Publishing.
75.
Millot, V. (2011). Firms’ intangible assets: Who relies on trademarks? Analysis of French and German firms’ trademarking behaviour (DRUID Working Paper). http://druid8.sit.aau.dk/acc_p....
76.
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Group, T. P. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10. 1371/journal.pmed.1000097.
77.
Nam, Y., & Barnett, G. A. (2011). Globalization of technology: Network analysis of global patents and trademarks. Technological Forecasting & Social Change, 78, 1471–1485. https://doi.org/10.1016/j.tech....
78.
Neuhäusler, P. (2012). The use of patents and informal appropriation mechanisms: Differences between sectors and among companies. Technovation, 32, 681–693. https://doi.org/10.1016/j.tech....
79.
Noh, H., Jo, Y., & Lee, S. (2015). Keyword selection and processing strategy for applying text mining to patent analysis. Expert Systems with Applications, 42, 4348–4360. https://doi.org/10.1016/j.eswa....
80.
Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25(4), 348–349.
81.
Ribeiro, L. C., Santos, U. P., & Muzaka, V. (2022). Trademarks as an indicator of innovation: Towards a fuller picture. Scientometrics, 127, 481–508. https://doi.org/10.1007/s11192....
82.
Sandner, P. G., & Block, J. (2011). The market value of R&D, patents, and trademarks. Research Policy, 40(7), 969–985. https://doi.org/10.1016/j.resp....
83.
Santos, U. P., Ribeiro, L. C., Diniz, S. C., & Machado, A. F. (2022). Notes on the use of trademark registrations as an innovation metric for the creative and cultural industries: An analysis based on USPTO data. Creative Industries Journal, 17(3), 381–399. https://doi.org/10.1080/175106....
84.
Santos, R. S., & Qin, L. (2019). Risk capital and emerging technologies: Innovation and investment patterns based on artificial intelligence patent data analysis. Journal of Risk and Financial Management, 12(4), 189. https://doi.org/10.3390/jrfm12....
85.
Schautschick, P., & Greenhalgh, C. (2016). Empirical studies of trade marks: The existing economic literature. Economics of Innovation and New Technology, 25(4), 358–390. https://doi.org/10.1080/104385....
86.
Schautschick, P. (2015). An economic investigation of the use and impact of patents and trade marks in Germany [Doctoral dissertation, Ludwig-Maximilians-Universität München]. https://edoc.ub.uni-muenchen.d....
87.
Schmoch, U., & Gauch, S. (2009). Service marks as indicators for innovation in knowledge-based services. Research Evaluation, 18(4), 323–335. https://doi.org/10.3152/095820....
88.
Schmoch, U. (2003). Service marks as novel innovation indicator. Research Evaluation, 12(2), 149–156. https://doi.org/10.3152/147154....
89.
Schumpeter, J. A. (1934). The theory of economic development. Transaction Publishers.
90.
Schumpeter, J. A. (1939). Business cycles: A theoretical, historical, and statistical analysis of the capitalist process. McGraw-Hill.
92.
Seethamraju, C. (2003). The value relevance of trademarks. In J. Hand & L. Baruch (Eds.), Intangible assets: Values, measures and risks. Oxford University Press.
93.
Seip, M., Castaldi, C., Flikkema, M., & De Man, A. P. (2018). The timing of trademark application in innovation processes. Technovation, 72–73, 34–45. https://doi.org/10.1016/j.tech....
94.
Sharma, P., & Tripathi, R. C. (2017). Patent citation: A technique for measuring the knowledge flow of information and innovation. World Patent Information, 51, 31–42. https://doi.org/10.1016/j.wpi.....
95.
Sjögren, R., Stridh, K., Skotare, T., & Trygg, J. (2018). Multivariate patent analysis: Using chemometrics to analyze collections of chemical and pharmaceutical patents. Journal of Chemometrics, 34(1), e3041. https://doi.org/10.1002/cem.30....
96.
Smojver, V., Štorga, M., & Zovak, G. (2021). Exploring knowledge flow within a technology domain by conducting a dynamic analysis of a patent co-citation network. Journal of Knowledge Management, 25(2), 433–453. https://doi.org/10.1108/JKM-01....
97.
Souza, C. M., Meireles, M. R. G., & Almeida, P. E. M. (2021). A comparative study of abstractive and extractive summarization techniques to label subgroups on patent dataset. Scientometrics, 126, 135–156. https://doi.org/10.1007/s11192....
98.
Suh, J. H. (2015). Exploring the effect of structural patent indicators in forward patent citation networks on patent price from firm market value. Technology Analysis & Strategic Management, 27(5), 485–502. https://doi.org/10.1080/095373....
99.
Thakur-Wernz, P., & Wernz, C. (2022). Impact of stronger intellectual property rights regime on innovation: Evidence from de alio versus de novo Indian bio-pharmaceutical firms. Journal of Business Research, 138, 457–473. https://doi.org/10.1016/j.jbus....
100.
Thoma, G. (2020). The valuation of patent–trademark pairing as IP strategy: Evidence from the USPTO. Industry and Innovation, 27(1–2), 80–104. https://doi.org/10.1080/136627....
101.
Thomä, J., & Bizer, K. (2013). To protect or not to protect? Modes of appropriability in the small enterprise sector. Research Policy, 42, 35–49. https://doi.org/10.1016/j.resp....
102.
Van Eck, N. J., & Waltman, L. (2007). Bibliometric mapping of the computational intelligence field. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15(5), 625–645. https://doi.org/10.1142/S02184....
103.
Wang, D., Zhu, S., Li, T., Chi, Y., & Gong, Y. (2011). Integrating document clustering and multidocument summarization. ACM Transactions on Knowledge Discovery from Data, 5(3), 14. https://doi.org/10.1145/199307....
104.
Wang, X.-X., & Jiao, H.-Y. (2022). The impact of network positions in scientific collaboration on pharmaceutical firms’ technological innovation performance: Moderating roles of scientific collaboration strength and patent stock. Frontiers in Public Health, 10, 980845. https://doi.org/10.3389/fpubh.....
105.
Wartburg, T., Teichert, K., & Rost, K. (2005). Inventive progress measured by multistage patent citation analysis. Research Policy, 34(10), 1591–1607. https://doi.org/10.1016/j.resp....
106.
Zhang, W., Chen, J. & Li, W. (2022). Limiting hESC patents in China under a dual‐value perspective. EMBO Reports, 23, EMBR202255998. https://doi.org/10.15252/embr.....
107.
Zheng, J., Zhao, Z., Zhang, X., Chen, D., & Huang, M. (2014). International collaboration development in nanotechnology: A perspective of patent network analysis. Scientometrics, 98, 683–702. https://doi.org/10.1007/s11192....
108.
Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/109442....
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| eISSN: | 2299-193X |
| ISSN: | 1429-9321 (1997-2019) |
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