The impact of crowdsourcing and user-driven innovation on R&D departments’ innovation activity: Application of multivariate correspondence analysis

Authors

DOI:

https://doi.org/10.24136/eq.2732

Keywords:

crowdsourcing, innovation, user-driven innovation, Internet, research and development (R&D), marketing orientation, customer purchase behavior, multivariate correspondence

Abstract

Research background: In enterprise practices, innovation management is taking on more and more open forms. New, creative sources of inspiration are being sought. More and more companies are opening up to cooperation with external people or entities, thus entering a path of open innovation and crowdsourcing. This development is facilitated by increasingly large numbers of online and virtual communities. The idea is to use the potential of the crowd — collective intelligence and creativity. As the strategy is still developing, knowledge in this area is limited. There is a paucity of research on the impact of crowdsourcing on R&D departments and their innovative activities.

Purpose of the article: The study aims to determine whether the use of customer support in the form of crowdsourcing affects the innovative activities of R&D departments that implement user-driven innovation (UDI).

Methods: An original questionnaire was used for the study. Fifty-seven R&D departments in Poland participated in the research. A correspondence analysis, performed on the basis of the Burt matrix, was applied for the analysis. The authors also used Cramer's V correlation coefficients. Examination of the acquired correlation coefficients reveals the existence of four distinct categories of enterprises regarding the usage of crowdsourcing and implementation of product innovations, completed R&D projects, employment in R&D departments, and percentage of revenue allocating in R&D works.

Findings & value added:  Research has shown that R&D departments positively evaluate the effects of using UDI in market research analyses of customer purchasing behavior. It helps to create or improve products or services offered on the market, especially in the field of customization, using the information from national research and development units at the same time. Their purpose is mainly to increase the product range. The findings can help academics and practitioners improve the body of knowledge about the determinants of innovation activity, especially concerning relationships with customers and user-driven innovation practices.

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References

Abdelaty, H., & Weiss, D. (2023). Coping with the heterogeneity of external knowledge sources: Corresponding openness strategies and innovation performance. Journal of Innovation & Knowledge, 8(4), 100423.

DOI: https://doi.org/10.1016/j.jik.2023.100423
View in Google Scholar

Abdi, H. (2003). Multivariate analysis. In M. Lewis-Beck, A. Bryman & T. Futing (Eds.). Encyclopaedia for research methods for the social sciences, (pp. 699–702). Thousand Oaks, CA: Sage.
View in Google Scholar

Abdi, H., & Valentin, D. (2007). Multiple correspondence analysis. In N. J. Salkind (Ed.). Encyclopaedia of measurement and statistics, (pp. 651–657). Thousand Oaks, CA: Sage.
View in Google Scholar

Abdi, H., Williams, L. J., & Valentin, D. (2013). Multiple factor analysis: Principal component analysis for multi-table and multi-block data sets. Wiley Interdisciplinary Reviews: Computational Statistics, 5, 149–179.

DOI: https://doi.org/10.1002/wics.1246
View in Google Scholar

Acar, O. A. (2019). Motivations and solution appropriateness in crowdsourcing challenges for innovation. Research Policy, 48(8), 103716.

DOI: https://doi.org/10.1016/j.respol.2018.11.010
View in Google Scholar

Afuah, A., & Tucci, Ch. L. (2012). Crowdsourcing as a solution to distant search. Academy of Management, 3(37), 355–375.

DOI: https://doi.org/10.5465/amr.2010.0146
View in Google Scholar

Ang, K. L. M., Seng, J. K. P., & Ngharamike, E. (2022). Towards crowdsourcing Internet of Things (Crowd-IoT): Architectures, security and applications. Future Internet, 14(2), 49.

DOI: https://doi.org/10.3390/fi14020049
View in Google Scholar

Bagheri, S. K., Raoufi, P., Eshtehardi, M. S. A., Shaverdy, S., Akbarabad, B. R., Moghaddam, B., & Mardani, A. (2018). Using the crowd for business model innovation: The case of Digikala. R&D Management, 50(1), 3–17.

DOI: https://doi.org/10.1111/radm.12353
View in Google Scholar

Bai, W., Lee, D., & Lee, K. Y. (2017). Stochastic dynamic AC optimal power flow based on a multivariate short-term wind power scenario forecasting model. Energies, 10, 2138.

DOI: https://doi.org/10.3390/en10122138
View in Google Scholar

Brem, A., Bilgram, V., & Marchuk, A. (2019). How crowdfunding platforms change the nature of user innovation - from problem solving to entrepreneurship. Technological Forecasting and Social Change, 144, 348360.

DOI: https://doi.org/10.1016/j.techfore.2017.11.020
View in Google Scholar

Cacuci, D. G. (2021). Fourth-order comprehensive adjoint sensitivity analysis (4th-CASAM) of response-coupled linear forward/adjoint systems: I. Theoretical framework. Energies, 14, 3335.

DOI: https://doi.org/10.3390/en14113335
View in Google Scholar

Callaghan, Ch. W. (2020). The ‘death of innovation’ paradox, R&D and the scientific potential of crowdsourcing. African Journal of Science, Technology, Innovation and Development, 12(2), 141–150.

DOI: https://doi.org/10.1080/20421338.2019.1634899
View in Google Scholar

Chai, L., Sun, H., & Wang, Z. (2022). An error consistency based approach to answer aggregation in open-ended crowdsourcing. Information Sciences, 608, 1029–1044.

DOI: https://doi.org/10.1016/j.ins.2022.07.001
View in Google Scholar

Chan, K. W., Li, S. Y., & Zhu, J. J. (2018). Good to be novel? Understanding how idea feasibility affects idea adoption decision making in crowdsourcing. Journal of Interactive Marketing, 43, 52–68.

DOI: https://doi.org/10.1016/j.intmar.2018.01.001
View in Google Scholar

Chesbrough, H. (2006). Open innovation: A new paradigm for understanding industrial innovation. In H. Chesbrough, W. Vanhaverbeke & J. West (Eds.). Open innovation: Researching a new paradigm (pp. 43–62). Oxford: Oxford University Press.

DOI: https://doi.org/10.1093/oso/9780199290727.001.0001
View in Google Scholar

Chesbrough, H., & Bogers, M. (2014). Explicating open innovation: Clarifying an emerging paradigm for understanding innovation. In H. Chesbrough, W. Vanhaverbeke & J. West (Eds.). New frontiers in open innovation, (pp. 3–28). Oxford: Oxford University Press.

DOI: https://doi.org/10.1093/acprof:oso/9780199682461.003.0001
View in Google Scholar

Chesbrough, H. W. (2003). Open innovation. The new imperative for creating and profiting from technology. Boston: Harvard Business School Press.
View in Google Scholar

Ciasullo, M. V., Carli, M., Lim, W. M., & Palumbo, R. (2022). An open innovation approach to co-produce scientific knowledge: An examination of citizen science in the healthcare ecosystem. European Journal of Innovation Management, 25(6), 365–392.

DOI: https://doi.org/10.1108/EJIM-02-2021-0109
View in Google Scholar

Cricelli L., Grimaldi M., & Vermicelli, S. (2022). Crowdsourcing and open innovation: a systematic literature review, an integrated framework and a research agenda. Review Management Science, 16, 1269–1310.

DOI: https://doi.org/10.1007/s11846-021-00482-9
View in Google Scholar

de Mattos, C. A., Kissimoto, K. O., & Laurindo. K. O. (2018). The role of information technology for building virtual environments to integrate crowdsourcing mechanisms into the open innovation process. Technological Forecasting and Social Change, 129, 143–153.

DOI: https://doi.org/10.1016/j.techfore.2017.12.020
View in Google Scholar

Devece, C., Palacios, D., & Ribeiro-Navarrete, B. (2019). The effectiveness of crowdsourcing in knowledge-based industries: The moderating role of transformational leadership and organisational learning. Economic Research-Ekonomska Istraživanja, 32(1), 335–351.

DOI: https://doi.org/10.1080/1331677X.2018.1547204
View in Google Scholar

Dorado, J., & Almendros, G. (2021). Organo-mineral interactions involved in herbicide sorption on soil amended with peats of different maturity degree. Agronomy, 11, 869.

DOI: https://doi.org/10.3390/agronomy11050869
View in Google Scholar

Egger, R., Gula, I., & Walcher, D. (2016). Open toursim: Open innovation, crowdsourcing and co-creation challenging the tourism industry. Springer.

DOI: https://doi.org/10.1007/978-3-642-54089-9
View in Google Scholar

Estellés-Arolas, E., & González-Ladrón-de-Guevara, F. (2012). Towards an integrated crowdsourcing definition. Journal of Information Science, 38(2), 189–200.

DOI: https://doi.org/10.1177/0165551512437638
View in Google Scholar

Estellés-Arolas, E., Navarro-Giner, R., & González-Ladrón-de-Guevara, F. (2015). Crowdsourcing fundamentals: Definition and typology. In F. Garrigos-Simon, I. Gil-Pechuán & S. Estelles-Miguel (Eds). Advances in crowdsourcing (pp. 33–48). Springer.

DOI: https://doi.org/10.1007/978-3-319-18341-1_3
View in Google Scholar

Felin, T., Lakhani, K., & Tushman, M. (2017). Firms, crowds, and innovation. Strategic Organization, 15(2), 119–140.

DOI: https://doi.org/10.1177/1476127017706610
View in Google Scholar

Fiechter, J. L., & Kornell, N. (2021). How the wisdom of crowds, and of the crowd within, are affected by expertise. Cognitive Research: Principles and Implications, 6, 5.

DOI: https://doi.org/10.1186/s41235-021-00273-6
View in Google Scholar

Flores, C. C., & Rezende, D. A. (2022). Crowdsourcing framework applied to strategic digital city projects. Journal of Urban Management, 11(4), 467–478.

DOI: https://doi.org/10.1016/j.jum.2022.08.004
View in Google Scholar

Greenacre, M. J. (2007). Correspondence analysis in practice. Boca Raton (FL): Chapman & Hall/CRC.

DOI: https://doi.org/10.1201/9781420011234
View in Google Scholar

Gurca, A., Bagherzadeh, M., & Velayati, R. (2023). Aligning the crowdsourcing type with the problem attributes to improve solution search efficacy. Technovation, 119, 102613. doi:10.1016/j.technovation.2022.102613.

DOI: https://doi.org/10.1016/j.technovation.2022.102613
View in Google Scholar

Howe, J. (2006). The rise of crowdsourcing. Wired Magazine, 14, 1–5.
View in Google Scholar

Howe, J. (2008). Crowdsourcing: How the power of the crowd is driving the future of business. Random House.
View in Google Scholar

Hwang, H., Tomiuk, M. A., & Takane. Y. (2009). Correspondence analysis, multiple correspondence analysis and recent developments. In R. Millsap & A. Maydeu-Olivares (Eds.). Handbook of quantitative methods in psychology. London: Sage Publications.

DOI: https://doi.org/10.4135/9780857020994.n11
View in Google Scholar

Jespersen, K. R. (2018). Crowdsourcing design decisions for optimal integration into the company innovation system. Decision Support System, 115, 52–63.

DOI: https://doi.org/10.1016/j.dss.2018.09.005
View in Google Scholar

Jo, H., & Bang, Y. (2023). Factors influencing continuance intention of participants in crowdsourcing. Humanities Social Science Communications 10, 824.

DOI: https://doi.org/10.1057/s41599-023-02335-0
View in Google Scholar

Jugend, D., De Camargo Fiorini, P., Armellini, F., & Ferrari, A.G. (2020). Public support for innovation: A systematic review of the literature and implications for open innovation. Technological Forecasting and Social Change, 156, 119985.

DOI: https://doi.org/10.1016/j.techfore.2020.119985
View in Google Scholar

Kaewchur, O., Anussornnitisarn, P., & Pastuszak, Z. (2013). The mediating role of knowledge sharing on information technology and innovation. International Journal of Managements, Knowledge and Learning, 2(2), 227–242.
View in Google Scholar

Karachiwalla, R., & Pinkow, F. (2021). Understanding crowdsourcing projects: A review on the key design elements of a crowdsourcing initiative. Creativity and Innovation Management, 30(3), 563–584.

DOI: https://doi.org/10.1111/caim.12454
View in Google Scholar

Kearney, M., Cramer’s, W., & Sage V. (2017). Encyclopedia of communication. Research Methods Publisher: Sage Editors.
View in Google Scholar

Khan, V. J., Papangelis, K., Markopoulos, P., & Lykourentzou. I. (2019). Marco-task crowdsourcing: engaging the crowds to address complex problems. Springer.

DOI: https://doi.org/10.1007/978-3-030-12334-5
View in Google Scholar

Khasraghi, H. J., & Mohammadi, S. (2012). An innovative crowdsourcing approach for Amazon mechanical turk. International Journal of Computer Applications, 52(4), 20–13.

DOI: https://doi.org/10.5120/8190-1556
View in Google Scholar

Kokkoris, I. P., Mallinis, G., Bekri, E. S., Vlami, V., Zogaris, S., Chrysafis, I., Mitsopoulos, I., & Dimopoulos, P. (2020). National set of MAES indicators in Greece: Ecosystem services and management implications. Forests, 11, 595.

DOI: https://doi.org/10.3390/f11050595
View in Google Scholar

Kroonenberg, P. M., & Greenacre, M. (2004). Correspondence analysis. Wiley interdisciplinary reviews computational statistics. Wiley.
View in Google Scholar

Larrick, R. P., Mannes, A. E., & Soll, J. B. (2012). The social psychology of the wisdom of crowds. In J. I. Krueger (Ed.). Frontiers of social psychology: Social psychology and decision making. Philadelphia: Psychology Press.
View in Google Scholar

Laursen, K., & Salter, A. (2004). Searching high and low: What types of firms use universities as a source of innovation? Research Policy, 33(8), 1201–1215.

DOI: https://doi.org/10.1016/j.respol.2004.07.004
View in Google Scholar

Lin, L., Shen, H., Liu, S., Xu, L., & Cheng X. (2022). On the cybernetics of crowdsourcing innovation: A process model. IEEE Access,10, 27255–27269.

DOI: https://doi.org/10.1109/ACCESS.2022.3154101
View in Google Scholar

Luo, Ch., Lan, Y., Luo, X., & Li, H. (2021). The effect of commitment on knowledge sharing: An empirical study of virtual communities. Technological Forecasting and Social Change, 163, 120438.

DOI: https://doi.org/10.1016/j.techfore.2020.120438
View in Google Scholar

Mangiaracina, R., Perego, A., Seghezzi, A., & Tumino, A. (2019). Innovative solutions to increase last-mile delivery efficiency in B2C e-commerce: A literature review. International Journal of Physical Distribution and Logistics Management, 49(9), 901–920.

DOI: https://doi.org/10.1108/IJPDLM-02-2019-0048
View in Google Scholar

Mariani, A., Annunziata A., Nacchia, F., & Vastola, A. (2016). Crowdsourcing in wine business: Co-creation and fundraising experiences. In G. Szolnoki, L. Thach & D. Kolb (Eds.). Successful social media and ecommerce strategies in the wine industry (pp. 93–114). Book Series: Palgrave Pivot.

DOI: https://doi.org/10.1057/9781137602985_6
View in Google Scholar

Martinez, M. G. (2017). Inspiring crowdsourcing communities to create novel solutions: Competition design and the mediating role of trust. Technological Forecasting and Social Change, 117, 296–304.

DOI: https://doi.org/10.1016/j.techfore.2016.11.015
View in Google Scholar

Mladenow, A., Bauer, C., & Strauss, C. (2014). Social crowd integration in new product development: Crowdsourcing communities nourish the open innovation paradigm. Global Journal of Flexible Systems Management, 15(1), 77–86.

DOI: https://doi.org/10.1007/s40171-013-0053-6
View in Google Scholar

Mortara, L., Napp, J., Ford, S., & Minshall, T. (2011). Open innovation activities to foster corporate entrepreneurship. In L. Cassia, T. Minola & S. Paleari (Eds.). Entrepreneurship and technological change. Cheltenham: Edward Elgar.

DOI: https://doi.org/10.4337/9781781002018.00024
View in Google Scholar

Mubarak, M. F., & Petraite, M. (2020). Industry 4.0 technologies, digital trust and technological orientation: What matters in open innovation? Technological Forecasting and Social Change, 161, 120332.

DOI: https://doi.org/10.1016/j.techfore.2020.120332
View in Google Scholar

Naeem, H. M., & Di Maria, E. (2022). Customer participation in new product development: An Industry 4.0 perspective. European Journal of Innovation Management, 25(6), 637–655.

DOI: https://doi.org/10.1108/EJIM-01-2021-0036
View in Google Scholar

Nevo D., & Kotlarsky J. (2020). Crowdsourcing as a strategic IS sourcing phenomenon: Critical review and insights for future research. Journal of Strategic Information Systems, 29(4), 101593.

DOI: https://doi.org/10.1016/j.jsis.2020.101593
View in Google Scholar

O’Hern, M., Akdeniz, B., & Du, S. (2021). The effects of crowdsourcing contribution type and temporal consistency on new product development success. R&D Management, 52(1), 126–138.

DOI: https://doi.org/10.1111/radm.12481
View in Google Scholar

Palacios-Marqu´es, D., Gallego-Nicholls, J. F., & Guijarro-Garc´ıa, M. (2021). A recipe for success: Crowdsourcing, online social networks, and their impact on organizational performance. Technological Forecasting and Social Change, 165, 120566.

DOI: https://doi.org/10.1016/j.techfore.2020.120566
View in Google Scholar

Pan, M., Chandrasekaran, A., Hill, J., & Rungtusanatham, M. (2022). Multidisciplinary R&D project success in small firms: The role of multiproject status and project management experience. Production and Operations Management, 31(7), 2806–2821.

DOI: https://doi.org/10.1111/poms.13716
View in Google Scholar

Protasiewicz, J. (2023). Supporting innovativeness and information sharing. In Knowledge recommendation systems with machine intelligence algorithms. Studies in Computational Intelligence (pp. 51–65). Springer.

DOI: https://doi.org/10.1007/978-3-031-32696-7_4
View in Google Scholar

Pussinen, P., Wallin, A., & Hemilä, J. (2023). The hope of exponential growth – Systems mapping perspective on birth of platform business. Digital Business, 3(2), 100060.

DOI: https://doi.org/10.1016/j.digbus.2023.100060
View in Google Scholar

Randhawa, K., Wilden, R., & West, J. (2019). Crowdsourcing without profit: The role of the seeker in open social innovation. R&D Management, 49(3), 298–317.

DOI: https://doi.org/10.1111/radm.12357
View in Google Scholar

Rauhut H., & Lorenz J. (2011). The wisdom of crowds in one mind: How individuals can simulate the knowledge of diverse societies to reach better decisions. Journal of Mathematical Psychology, 55, 191–197.

DOI: https://doi.org/10.1016/j.jmp.2010.10.002
View in Google Scholar

Ruiz, E., & Beretta, M. (2021). Managing internal and external crowdsourcing: An investigation of emerging challenges in the context of a less experienced firm. Technovation, 106, 102290.

DOI: https://doi.org/10.1016/j.technovation.2021.102290
View in Google Scholar

Sawhney, M., Verona, G., & Prandelli, E. (2005). Collaborating to create: The Internet as a platform for customer engagement in product innovation. Journal of Interactive Marketing, 19(4), 4–17.

DOI: https://doi.org/10.1002/dir.20046
View in Google Scholar

Schall, D. (2012). Service-oriented crowdsourcing: Architecture, protocols and algorithms. Springer.

DOI: https://doi.org/10.1007/978-1-4614-5956-9
View in Google Scholar

Schuhmacher, A., & Kuss, M. (2020). The impact of crowdsourcing in modern drug discovery. Expert Opinion on Drug Discovery, 15(8), 865–867.

DOI: https://doi.org/10.1080/17460441.2020.1751116
View in Google Scholar

Song, J., Dong, F., Zhao, J., Lu, S., Li, L., & Pan, Z. (2016). A new design optimization method for permanent magnet synchronous linear motors. Energies, 9, 992.

DOI: https://doi.org/10.3390/en9120992
View in Google Scholar

Spithoven, A., Clarysse, B., & Knockaert, M. (2011). Building absorptive capacity to organise inbound open innovation in traditional industries. Technovation, 30(2), 130–141.

DOI: https://doi.org/10.1016/j.technovation.2009.08.004
View in Google Scholar

Spithoven, A., Vanhaverbeke, W., & Roijakkers, N. (2013). Open innovation practices in SMEs and large enterprises. Small Business Economics, 41, 537–562.

DOI: https://doi.org/10.1007/s11187-012-9453-9
View in Google Scholar

Srisathan, W. A., Ketkaew, Ch., & Naruetharadhol, P. (2023). Assessing the effectiveness of open innovation implementation strategies in the promotion of ambidextrous innovation in Thai small and medium-sized enterprises. Journal of Innovation & Knowledge, 8(4), 100418.

DOI: https://doi.org/10.1016/j.jik.2023.100418
View in Google Scholar

Stefan, I., Hurmelinna-Laukkanen, P., Vanhaverbeke, W., & Oikarinen, E. L. (2022). The dark side of open innovation: Individual affective responses as hidden tolls of the paradox of openness. Journal of Business Research, 138, 360–373.

DOI: https://doi.org/10.1016/j.jbusres.2021.09.028
View in Google Scholar

Steininger, D. M., & Gatzemeier, S. (2019). Digitally forecasting new music product success via active crowdsourcing. Technological Forecasting and Social Change, 146, 167–180.

DOI: https://doi.org/10.1016/j.techfore.2019.04.016
View in Google Scholar

Stieger, D., Matzler, K., Chatterjee, S., & Ladstaetter–Fussnegger, F. (2012). Democratizing strategy. California Management Review, 54(4), 44–68.

DOI: https://doi.org/10.1525/cmr.2012.54.4.44
View in Google Scholar

Surowiecki, J. (2004). The wisdom of crowds: Why the many are smarter than the few and how collective wisdom shapes business, economies, societies and nations. Doubleday: Random.
View in Google Scholar

Surowecki, J. (2005). The wisdom of crowds. NewYork: Anchor Books.
View in Google Scholar

Tapscott, D., & Williams, A. (2007). Wikinomics: How mass collaboration changes everything. Old Saybrook, CT: Tantor Media Inc.
View in Google Scholar

Teirlinck, P., & Spithoven, A. (2008). The spatial organisation of innovation: Open innovation, external knowledge relations and urban structure. Regional Studies, 42(5), 689–704.

DOI: https://doi.org/10.1080/00343400701543694
View in Google Scholar

Thompson, D. C., & Bentzien, J. (2020). Crowdsourcing and open innovation in the drug discovery: Recent contributions and future directions. Drug Discovery Today, 25(12), 2284–2293.

DOI: https://doi.org/10.1016/j.drudis.2020.09.020
View in Google Scholar

Toral, S. L., Martinez-Torres, M. R., Barrero, F., & Cortes, F. (2009). An empirical study of the driving forces behind online communities. Internet Research, 19(4), 378–392.

DOI: https://doi.org/10.1108/10662240910981353
View in Google Scholar

Toroslu, A., Schemmann, B., Chappin, M. M. H., Castaldi, C., & Herrmann, A. M. (2023). Value capture in open innovation: A literature review and a research agenda. Industrial Marketing Management, 114, 297–312.

DOI: https://doi.org/10.1016/j.indmarman.2023.08.012
View in Google Scholar

Tóth, G., Bao, J., Nguyen, N., Safouane Benazzouz, M., Monteiro Paiva Chaves, M., & Grill, A. (2021). The promise of crowdfunding to finance R&D of novel diagnostics and therapeutics for incurable diseases. Drug Discovery Today, 26(10), 2205–2208.

DOI: https://doi.org/10.1016/j.drudis.2021.04.027
View in Google Scholar

Usman, M., Vanhaverbeke, W., & Roijakkers, N. (2023). How open innovation can help entrepreneurs in sensing and seizing entrepreneurial opportunities in SMEs. International Journal of Entrepreneurial Behavior & Research, 29(9/10), 2065–2090.

DOI: https://doi.org/10.1108/IJEBR-11-2022-1019
View in Google Scholar

Vermicelli, S., Cricelli, L., & Grimaldi, M. (2020). How can crowdsourcing help tackle the COVID-19 pandemic? An explorative overview of innovative collaborative practices. R&D Management, 51(2), 183–194.

DOI: https://doi.org/10.1111/radm.12443
View in Google Scholar

Vignieri, V. (2020). Crowdsourcing as a mode of open innovation: Exploring drivers of success of a multisided platform through system dynamics modelling. Systems Research and Behavioral Science, 38, 108124.

DOI: https://doi.org/10.1002/sres.2636
View in Google Scholar

Wazoku.com (12.02.2023).
View in Google Scholar

West, J., & Bogers, M. (2014). Leveraging external sources of innovation: A review of research on open innovation. Journal of Product Innovation Management, 31(4), 814–831.

DOI: https://doi.org/10.1111/jpim.12125
View in Google Scholar

Wu, H., Corney, J. R., & Grant, M. (2014). Crowdsourcing measures of design quality. In Proceedings of the ASME 2014 international design engineering technical conferences & computers and information in engineering conference IDETC/CIE 2014 (DETC2014-34967, V01BT02A010). American Society of Mechanical Engineers.

DOI: https://doi.org/10.1115/DETC2014-34967
View in Google Scholar

Zhang, Z., Jing, J., Wang, X., Kwang, K., Choo, R., & Gupta, B. B. (2020). A crowdsourcing method for online social networks security assessment based on human-centric computing. Human-centric Computing and Information Sciences, 10, 23.

DOI: https://doi.org/10.1186/s13673-020-00230-0
View in Google Scholar

Zheng, H., Li, D., & Hou, W. (2011). Task design, motivation and participation in crowdsourcing. International Journal of Electronic Commerce, 15(4), 57–88.

DOI: https://doi.org/10.2753/JEC1086-4415150402
View in Google Scholar

Zhitomirsky-Geffet, M., & Maman, Y. (2014). Wisdom of the crowds and online information reliability: A case study of Israeli real estate websites. Online Information Review, 38(3), 417–435.

DOI: https://doi.org/10.1108/OIR-07-2013-0176
View in Google Scholar

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2024-03-30

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Szopik-Depczyńska, K., Dembińska, I., Barczak, A., Kędzierska-Szczepaniak, A., Fazio, M., & Ioppolo, G. (2024). The impact of crowdsourcing and user-driven innovation on R&D departments’ innovation activity: Application of multivariate correspondence analysis. Equilibrium. Quarterly Journal of Economics and Economic Policy, 19(1), 171–206. https://doi.org/10.24136/eq.2732

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