MDIM Journal of Management Review and Practice
Sudhir Chandra Das1
and Shloka Singh1
1Faculty of Commerce, Banaras Hindu University, Varanasi, Uttar Pradesh, India
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-Commercial use, reproduction and distribution of the work without further permission provided the original work is attributed.
The sole purpose of this article is to discover the information stored within the term ‘innovative work behaviour (IWB),’ with a specific focus on types of documents, contributions by nations/regions, journals, authors and keywords. The authors have used VOSviewer version 1.6.19 and R-Studios for conducting bibliometric analysis as an approach to represent the growth for this area during a specified period. The findings of the article reveal that IWB has developed into coherent research theme from past decades. Through analysis, various trends can be assessed, for example, the frequently used keywords (innovation, innovative work behavior), top nations/regions (U.S.A., Italy). The study concurs with some theoretical insights. Theoretically, bibliometric analysis decodes the collective information of the established field. IWB is used inter-changeably with ‘conception’, but it has a distinct character of its own which can be used for understanding and continuous development, this is necessary to ensure enhancement in the organization. Moreover, it provides an opportunity for researchers to dive in the present state of IWB. The study also aids in the lookout for future research direction. Present study has used bibliometric analysis to review time-based development (publications, keywords, institutions) in IWB for a period of more than 20 years, that is, 2001–2022. In conclusion, this bibliometric analysis offers an inclusive overview of the status of IWB research, which could assist an enhanced understanding of the development in this field in the past years.
Innovation, innovative work behavior, work engagement, psychological, empowerment, creativity, innovative work behavior
Adler, M. D., & Johnson, K. B. (2000). Quantifying the literature of computer-aided instruction in medical education. Academic Medicine, 75(10), 1025–1028.
Althouse, B. M., West, J. D., Bergstrom, C. T., & Bergstrom, T. (2009). Differences in impact factor across fields and over time. Journal of the American Society for Information Science and Technology, 60(1), 27–34. http://doi.org/10.1002/asi.20936
Amabile, T. M., Conti, R., Coon, H., Lazenby, J., & Herron, M. (1996). Assessing the work environment for creativity. Academy of Management Journal, 39(5), 1154–1184.
Amabile, T. M., & Pratt, M. G. (2016). The dynamic componential model of creativity and innovation in organizations: Making progress, making meaning. Research in Organizational Behavior, 36, 157–183. http://doi.org/10.1016/j.riob.2016.10.001
Anderson, N., & King, N. (1991). Managing innovation in organisations. Leadership & Organization Development Journal, 12(4), 17–21.
Ausat, A. M. A., Widayani, A., Rachmawati, I., Latifah, N., & Suherlan, S. (2022). The effect of intellectual capital and innovative work behavior on business performance. Journal of Economics, Business, & Accountancy Ventura, 24(3), 363–378.
Backhaus, K., Lügger, K., & Koch, M. (2011). The structure and evolution of business-to-business marketing: A citation and co-citation analysis. Industrial Marketing Management, 40(6), 940–951. https://doi.org/10.1016/j.indmarman.2011.06.024
Baer, M., Oldham, G. R., & Cummings, A. (2003). Rewarding creativity: When does it really matter? The Leadership Quarterly, 14(4–5), 569–586. https://doi.org/10.1016/S1048-9843(03)00052-3
Bahuguna, P. C., Srivastava, R., & Tiwari, S. (2023). Two-decade journey of green human resource management research: A bibliometric analysis. Benchmarking: An International Journal, 30(2), 585–602.
Batista, P. D., Campiteli, M. G., & Kinouchi, O. (2006). Is it possible to compare researchers with different scientific interests? Scientometrics, 68(1), 179–189. https://doi.org/10.1007/s11192-006-0090-4
Berg, J. M. (2016). Balancing on the creative highwire: Forecasting the success of novel ideas in organizations. Administrative Science Quarterly, 61(3), 433–468. https://doi.org/10.1177/0001839216642211
Bertran, K., Cortey, M., & Díaz, I. (2020). The use of h-index to assess research priorities in poultry diseases. Poultry Science, 99(12), 6503–6512.
Bordons, M., Fernández, M., & Gómez, I. (2002). Advantages and limitations in the use of impact factor measures for the assessment of research performance. Scientometrics, 53(2), 195–206 https://doi.org/10.1023/a:1014800407876
Bos-Nehles, A., Renkema, M., & Janssen, M. (2017). HRM and innovative work behaviour: A systematic literature review. Personnel Review, 46(7), 1228–1253.
Botelho, C. (2020). The influence of organizational culture and HRM on building innovative capability. International Journal of Productivity and Performance Management, 69(7), 1373–1393.
Brambrink, A. M., Ehrler, D., & Dick, W. F. (2000). Publications on paediatric anaesthesia: A quantitative analysis of publication activity and international recognition. British Journal of Anaesthesia, 85(4), 556–562.
Chen, J., Tang, G., Yao, J., & Zhou, G. (2023). Employee sentiment and stock returns. Journal of Economic Dynamics and Control, 149, 104636. https://doi.org/10.1016/j.jedc.2023.104636
Chen, X., Xie, H., Wang, F. L., Liu, Z., Xu, J., & Hao, T. (2018). A bibliometric analysis of natural language processing in medical research. BMC Medical Informatics and Decision Making, 18(1), 1–14. https://doi.org/10.1186/s12911-018-0594-x
Chiu, W. T., & Ho, Y.S. (2005). Bibliometric analysis of homeopathy research during the period of 1991 to 2003. Scientometrics, 63(1), 3–23.
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. https://doi.org/10.1002/asi.21525
Colledge, L., de Moya-Anegón, F., Guerrero-Bote, V. P., López-Illescas, C., & Moed, H. F. (2010). SJR and SNIP: Two new journal metrics in Elsevier’s Scopus. Insights, 23(3), 215–221.
Culnan, M. J. (1986). The intellectual development of management information systems, 1972–1982: A co-citation analysis. Management Science, 32(2), 156–172. https://doi.org/10.1287/mnsc.32.2.156
Deb, N. (2021). A knowledge-based view of people and technology: Directions for a value co-creation-based learning organisation. Webology, 18(5) 364–371.
De Jong, J., & Den Hartog, D. (2010). Measuring innovative work behaviour. Creativity and Innovation Management, 19(1), 23–36. https://doi.org/10.1111/j.1467-8691.2010.00547.x
Del Giudice, M., Khan, Z., De Silva, M., Scuotto, V., Caputo, F., & Carayannis, E. (2017). The microlevel actions undertaken by owner-managers in improving the sustainability practices of cultural and creative small and medium enterprises: A United Kingdom–Italy comparison. Journal of Organizational Behavior, 38(9), 1396–1414.
Donthu, N., Kumar, S., & Pattnaik, D. (2020). Forty-five years of journal of business research: A bibliometric analysis. Journal of Business Research, 109, 1–14. https://doi.org/10.1016/j.jbusres.2019.10.039
Durisin, B., & Puzone, F. (2009). Maturation of corporate governance research, 1993–2007: An assessment. Corporate Governance: An International Review, 17(3), 266–291. https://doi.org/10.1111/j.1467-8683.2009.00739.x
El-Kassar, A.-N., Dagher, G. K., Lythreatis, S., & Azakir, M. (2022). Antecedents and consequences of knowledge hiding: The roles of HR practices, organizational support for creativity, creativity, innovative work behavior, and task performance. Journal of Business Research, 140, 1–10. https://doi.org/10.1016/j.jbusres.2021.11.079
Ellegaard, O. (2018). The application of bibliometric analysis: Disciplinary and user aspects. Scientometrics, 116(1), 181–202.
Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809–1831. https://doi.org/10.1007/s11192-015-1645-z
Garfield, E. (1955). Citation indexes for science: A new dimension in documentation through association of ideas. Science, 122(3159), 108–111. https://doi.org/10.1126/science.122.3159.108
Groza, M. D., Locander, D. A., & Howlett, C. H. (2016). Linking thinking styles to sales performance: The importance of creativity and subjective knowledge. Journal of Business Research, 69(10), 4185–4193. http://doi.org/10.1016/j.jbusres.2016.03.006
Guns, R., & Rousseau, R. (2009). Simulating growth of the h-index. Journal of the American Society for Information Science and Technology, 60(2), 410–417. https://doi.org/10.1002/asi.20973
Hassan, S., Ghias, W., Saeed, S., Shaukat, M. O., & Abro, S. (2021). Research domain of innovative work behaviour: A bibliometric analysis of fifteen years research
(2005-2020). Elementary Education Online, 20(1), 3900–3927.
Heberger, A. E., Christie, C. A., & Alkin, M. C. (2010). A bibliometric analysis of the academic influences of and on evaluation theorists’ published works. American Journal of Evaluation, 31(1), 24–44. https://doi.org/10.1177/1098214009354120
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National academy of Sciences, 102(46), 16569–16572. https://doi.org/10.1073/pnas.0507655102
Høyrup, S. (2010). Employee-driven innovation and workplace learning: Basic concepts, approaches and themes. Transfer: European Review of Labour and Research, 16(2), 143–154.
Hu, J. E., Khayrallah, H., Culkin, R., Xia, P., Chen, T., Post, M., & Van Durme, B. (2019, June). Improved lexically constrained decoding for translation and monolingual rewriting [Paper presented]. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) (pp. 839–850). https://doi.org/10.18653/v1/N19-1090
Huang, X., Wang, L., & Liu, W. (2023). Identification of national research output using Scopus/Web of Science Core Collection: A revisit and further investigation. Scientometrics, 128(4), 2337–2347.
Hung, J. L. (2012). Trends of e-learning research from 2000 to 2008: Use of text mining and bibliometrics. British Journal of Educational Technology, 43(1), 5–16.
Hussain, A., Fatima, N., & Kumar, D. (2011). Bibliometric analysis of the Electronic Library journal. Webology, 8(1), 87. http://www.webology.org/2011/v8n1/a87.html
Janssen, O. (2000). Job demands, perceptions of effort-reward fairness and innovative work behaviour. Journal of Occupational and Organizational Psychology, 73(3), 287–302. https://doi.org/10.1348/096317900167038
Janssen, O. (2001). Fairness perceptions as a moderator in the curvilinear relationships between job demands, and job performance and job satisfaction. Academy of Management Journal, 44(5), 1039–1050.
Jiang, Y., Ritchie, B. W., & Benckendorff, P. (2019). Bibliometric visualisation: An application in tourism crisis and disaster management research. Current Issues in Tourism, 22(16), 1925–1957.
Jiménez-García, M., Ruiz-Chico, J., Peña-Sánchez, A. R., & López-Sánchez, J. A. (2020). A bibliometric analysis of sports tourism and sustainability (2002–2019). Sustainability, 12(7), 2840. https://doi.org/10.3390/su12072840
Kamrani, P., Dorsch, I., & Stock, W. G. (2021). Do researchers know what the h-index is? And how do they estimate its importance? Scientometrics, 126(7), 5489–5508.
Kannan, P., & Thanuskodi, S. (2019). Bibliometric analysis of library philosophy and practice: A study based on Scopus Database. Library Philosophy and Practice, 1–13. https://core.ac.uk/download/pdf/220153198.pdf
Khandelwal, U., Tripathi, V., & Gupta, A. (2021). A bibliometric analysis of green branding research from 2000 to 2019. Vision. Advance online publication. https://doi.org/10.1177/09722629211033916
Kleysen, R. F., & Street, C. T. (2001). Toward a multi-dimensional measure of individual innovative behavior. Journal of Intellectual Capita, 2(3), 284–296. https://doi.org/10.1108/EUM0000000005660
Koednok, S., & Sungsanit, M. (2018). The influence of multilevel factors of human resource practices on innovative work behavior. The Journal of Behavioral Science, 13(1), 37–55. https://doi.org/10.13140/RG.2.2.31220.45441
Kraus, S., Li, H., Kang, Q., Westhead, P., & Tiberius, V. (2020). The sharing economy: A bibliometric analysis of the state-of-the-art. International Journal of Entrepreneurial Behavior & Research, 26(8), 1769–1786. https://doi.org/10.1108/IJEBR-06-2020-0438
Kumar, S., Lim, W. M., Pandey, N., & Christopher Westland, J. (2021a). 20 years of electronic commerce research. Electronic Commerce Research, 21(1), 1–40. https://doi.org/10.1007/s10660-021-09464-1
Kumar, S., Sureka, R., Lim, W. M., Kumar Mangla, S., & Goyal, N. (2021b). What do we know about business strategy and environmental research? Insights from Business Strategy and the Environment. Business Strategy and the Environment, 30(8), 3454–3469. https://doi.org/10.1002/bse.2813
Kumpulainen, M., & Seppänen, M. (2022). Combining Web of Science and Scopus datasets in citation-based literature study. Scientometrics, 127(10), 5613–5631.
Lamboglia, R., Lavorato, D., Scornavacca, E., & Za, S. (2020). Exploring the relationship between audit and technology. A bibliometric analysis. Meditari Accountancy Research, 29(5), 1233–1260. https://doi.org/10.1108/MEDAR-03-2020-0836
Linnenluecke, M. K., Chen, X., Ling, X., Smith, T., & Zhu, Y. (2017). Research in finance: A review of influential publications and a research agenda. Pacific-Basin Finance Journal, 43, 188–199. https://doi.org/10.1016/j.pacfin.2017.04.005
Linsey, J. S., Green, M. G., Murphy, J. T., Wood, K. L., & Markman, A. B. (2005, January). ‘Collaborating to success’: An experimental study of group idea generation techniques [Paper presented]. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 4742, 277–290. https://doi.org/10.1115/DETC2005-85351
Liu, L. L., Zhang, J., Li, J. Z., Huang, F., & Wang, L. C. (2022). A bibliometric analysis of the landslide susceptibility research (1999–2021). Geocarto International, 37(26), 14309–14334.
Mao, G., Huang, N., Chen, L., & Wang, H. (2018). Research on biomass energy and environment from the past to the future: A bibliometric analysis. Science of the Total Environment, 635, 1081–1090. https://doi.org/10.1016/j.scitotenv.2018.04.173
Maseda, A., Iturralde, T., Cooper, S., & Aparicio, G. (2022). Mapping women’s involvement in family firms: A review based on bibliographic coupling analysis. International Journal of Management Reviews, 24(2), 279–305.
Middleton, L., & Hall, H. (2021). Workplace information literacy: A bridge to the development of innovative work behaviour. Journal of Documentation, 77(6), 1343–1363. https://doi.org/10.1108/JD-03-2021-0065
Montero-Díaz, J., Cobo, M. J., Gutiérrez-Salcedo, M., Segado-Boj, F., & Herrera-Viedma, E. (2018). A science mapping analysis of ‘Communication’ WoS subject category (1980-2013). Comunicar. Media Education Research Journal, 26(1). https://doi.org/10.3916/C55-2018-08
Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la Información, 29(1). https://doi.org/10.3145/epi.2020.ene.03
Muhammad, M., Zawawi, M. A. M., Jusoh, M. F., Naher, L., Latif, N. S. A., & Hasli, M. A. (2022, November). A decade of literature on climate in phytopathological research: Visualising and bibliometrics analysis. IOP Conference Series: Earth and Environmental Science (Vol. 1102, pp. 1–8). https://doi.org/10.1088/1755-1315/1102/1/012006
Mustafa, M., Coetzer, A., Ramos, H. M., & Fuhrer, J. (2021). Exploring the effects of small-and medium-sized enterprise employees’ job satisfaction on their innovative work behaviours: The moderating effects of personality. Journal of Organizational Effectiveness: People and Performance, 8(2), 228–250.
Nederhof, A. J. (2006). Bibliometric monitoring of research performance in the social sciences and the humanities: A review. Scientometrics, 66(1), 81–100. https://doi.org/10.1007/s11192-006-0007-2
Nguyen, N. T., Hooi, L. W., & Avvari, M. V. (2023). Leadership styles and organisational innovation in Vietnam: Does employee creativity matter? International Journal of Productivity and Performance Management, 72(2), 331–360.
Osareh, F. (1996). Bibliometrics, citation analysis and co-citation analysis: A review of literature I. Libri, 46, 149–158. https://www.degruyter.com/document/doi/10.1515/libr.1996.46.3.149/html
Peerzadah, S. A., Mufti, S., & Majeed, S. (2023). Mapping the scientific evolution of innovative work behavior: A bibliometric analysis of three decades. International Journal of Innovation Science. Advance online publication. https://doi.org/10.1108/IJIS-08-2022-0154
Peng, R., Chen, J., & Wu, W. (2021). Mapping innovation research in organizations: A bibliometric analysis. Frontiers in Psychology, 12, 750960. https://doi.org/10.3389/fpsyg.2021.750960
Perry-Smith, J. E. (2006). Social yet creative: The role of social relationships in facilitating individual creativity. Academy of Management Journal, 49(1), 85–101. https://doi.org/10.5465/amj.2006.20785503
Pesta, B., Fuerst, J., & Kirkegaard, E. O. (2018). Bibliometric keyword analysis across seventeen years (2000–2016) of intelligence articles. Journal of Intelligence, 6(4), 46. https://doi.org/10.3390/jintelligence6040046
Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25(4), 348–349. https://cir.nii.ac.jp/crid/1570009750342049664
Purwanto, A. (2022). Tourist satisfaction and performance of tourism industries: How the role of innovative work behaviour, organizational citizenship behaviour? Journal of Industrial Engineering & Management Research, 3(1), 1–11.
Radaelli, G., Lettieri, E., Mura, M., & Spiller, N. (2014). Knowledge sharing and innovative work behaviour in healthcare: A micro-level investigation of direct and indirect effects. Creativity and Innovation Management, 23(4), 400–414. https://doi.org/10.1111/caim.12084
Ramamoorthy, N., Flood, P. C., Slattery, T., & Sardessai, R. (2005). Determinants of innovative work behaviour: Development and test of an integrated model. Creativity and Innovation Management, 14(2), 142–150. https://doi.org/10.1111/j.1467-8691.2005.00334.x
Rietzschel, E. F., & Ritter, S.M. (2018). Moving from creativity to innovation. In Individual creativity in the workplace (pp. 3–34). Academic Press. https://doi.org/10.1016/B978-0-12-813238-8.00001-2
Salam, S., & Senin, A. A. (2022). A bibliometric study on innovative behavior literature (1961–2019). Sage Open, 12(3). https://doi.org/10.1177/21582440221109589
Samiee, S., & Chabowski, B. R. (2012). Knowledge structure in international marketing: A multi-method bibliometric analysis. Journal of the Academy of Marketing Science, 40(2), 364–386. https://doi.org/10.1007/s11747-011-0296-8
Sampaio, R. B., Fonseca, M.V.D.A., & Zicker, F. (2016). Co-authorship network analysis in health research: Method and potential use. Health Research Policy and Systems, 14(1), 1–10.
Scott, S.G., & Bruce, R. A. (1994). Determinants of innovative behavior: A path model of individual innovation in the workplace. Academy of Management Journal, 37(3), 580–607.
Scully, C., & Lodge, H. (2005). Impact factors and their significance; Overrated or misused? British Dental Journal, 198(7), 391–393. https://doi.org/10.1038/sj.bdj.4812185
Seglen, P.O. (1997). Why the impact factor of journals should not be used for evaluating research. BMJ, 314(7079), 497. https://doi.org/10.1136/bmj.314.7079.497
Shi, Y., Blainey, S., Sun, C., & Jing, P. (2020). A literature review on accessibility using bibliometric analysis techniques. Journal of Transport Geography, 87, 102810 https://doi.org/10.1016/j.jtrangeo.2020.102810
Su, H. N., & Lee, P. C. (2010). Mapping knowledge structure by keyword co-occurrence: A first look at journal papers in Technology Foresight. Scientometrics, 85(1), 65–79.
Surwase, G., Sagar, A., Kademani, B. S., & Bhanumurthy, K. (2011). Co-citation analysis: An overview [Paper presented]. Beyond Librarianship: Creativity, Innovation and Discovery, Mumbai, India, pp. 179–185.
Szczepa?ska-Woszczyna, K., & Dacko-Pikiewicz, Z. (2014). Managerial competencies and innovations in the company–the case of enterprises in Poland. Business, Management and Economics Engineering, 12(2), 266–282. https://doi.org/10.3846/bme.2014.240
Valaei, N., Rezaei, S., & Ismail, W.K.W. (2017). Examining learning strategies, creativity, and innovation at SMEs using fuzzy set Qualitative Comparative Analysis and PLS path modeling. Journal of Business Research, 70, 224–233. https://doi.org/10.1016/j.jbusres.2016.08.016
Van Raan, A. F. (2006). Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups. Scientometrics, 67(3), 491–502. http://doi.org/10.1556/Scient.67.2006.3.10
Waheed, A., Waheed, S., Ahmad, N., & Karamat, J. (2023). Work engagement and organisation performance: The mediating role of innovative work behaviour and moderating role of perceived distributive fairness in manufacturing industry of Pakistan. International Journal of Business Performance Management, 24(1), 47–72.
Wheeldon, J., & Ahlberg, M. K. (2011). Visualizing social science research: Maps, methods, & meaning. Sage.
Xu, X., Chen, X., Jia, F., Brown, S., Gong, Y., & Xu, Y. (2018). Supply chain finance: A systematic literature review and bibliometric analysis. International Journal of Production Economics, 204, 160–173. https://doi.org/10.1016/j.ijpe.2018.08.003
Yilmaz, S., Daly, S. R., Seifert, C. M., & Gonzalez, R. (2016). Evidence-based design heuristics for idea generation. Design Studies, 46, 95–124. https://doi.org/10.1016/j.destud.2016.05.001
Zhang, X. (2020). A bibliometric analysis of second language acquisition between 1997 and 2018. Studies in Second Language Acquisition, 42(1), 199–222. https://doi.org/10.1017/S0272263119000573
Zupic, I., & ?ater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629
