New trends and topic changes of JBEM 2007–2019: a bibliometric review
Abstract
The Journal of Business Economics and Management (JBEM) has been very active in the field of economics and management science and brought many influential outputs in the last decades. This paper investigated the current status of publications and citations from JBEM and explored the hot topics and new trends represented by most used keywords extracted from the published articles from 2007 to 2019. The data were analyzed and mapped with respect to the most cited literature, most prolific authors, and publication records categorized by authors, institutions and countries. The analysis revealed that papers published each year by the JBEM is relatively stable and published papers has an expected citation number 7.68 times. The difference in frequency of keywords in different stages give us informative clue for future studies. The emerging topics include “SMEs” “Information” “framework” “perspective”, hence the likely focus of JBEM to consider submission of papers centered on these topics, the comparison of keywords between JBEM and Hot Papers & Highly Cited Papers was made as well. Some new trends, for example, information science combining with management science are new hot topics.
Keyword : topics change, keywords co-occurrence, bibliometric analysis, Journal of Business Economics and Management, Web of Science, knowledge visualization
How to Cite
Lei, X., & Xu, Q. (2021). New trends and topic changes of JBEM 2007–2019: a bibliometric review. Journal of Business Economics and Management, 22(3), 557-576. https://doi.org/10.3846/jbem.2021.13885
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Akhtar, N., Saqib, Z., Khan, M. I., Martin, M. A., Atif, S. B., & Zaman, M. H. (2019). A bibliometric analysis of contemporary research regarding industrial symbiosis: A path towards urban environmental resilience. Applied Ecology and Environmental Research, 17(1), 1159–1221. https://doi.org/10.15666/aeer/1701_11591221
Akmal, A., Podgorodnichenko, N., Greatbanks, R., & Everett, A. M. (2018). Bibliometric analysis of production planning and control (1990–2016). Production Planning & Control, 29(4), 333–351. https://doi.org/10.1080/09537287.2018.1429030
Aksnes, D. W., & Sivertsen, G. (2004). The effect of highly cited papers on national citation indicators. Scientometrics, 59(2), 213–224. https://doi.org/10.1023/B:SCIE.0000018529.58334.eb
Andres, A. (2010). Measuring academic research: How to undertake a bibliometric study. Oxford Chandos Publishing.
Bates, R. (2003). Phelan’s bibliometric analysis of the impact of Australian educational research. Australian Educational Researcher, 30(2), 57–64. https://doi.org/10.1007/BF03216790
Chen, Q. H., Geng, N., & Zhu, K. (2018). Review and bibliometric analysis of Chinese agricultural economics research: 2006–2015. China Agricultural Economic Review, 10(1), 152–172. https://doi.org/10.1108/CAER-07-2017-0141
Du, Y. X., & Teixeira, A. A. C. (2012). A bibliometric account of Chinese economics research through the lens of the China Economic Review. China Economic Review, 23(4), 743–762. https://doi.org/10.1016/j.chieco.2012.04.009
Garrigos-Simon, F. J., Botella-Carrubi, M. D., & Gonzalez-Cruz, T. F. (2018). Social capital, human capital, and sustainability: A bibliometric and visualization analysis. Sustainability, 10(12). https://doi.org/10.3390/su10124751
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569–16572. https://doi.org/10.1073/pnas.0507655102
Ho, Y. S. (2014). Classic articles on social work field in Social Science Citation Index: A bibliometric analysis. Scientometrics, 98(1), 137–155. https://doi.org/10.1007/s11192-013-1014-8
Lei, X. T., & Xu, Q. Y. (2020). Evolution and thematic changes of Journal of King Saud University – Science between 2009 and 2019: A bibliometric and visualized review. Journal of King Saud University – Science, 32(3), 2074–2080. https://doi.org/10.1016/j.jksus.2020.02.006
Liu, Z. L. (2017a). China’s plans and policies for reducing CO2 emission from biomass-fired power plants: Modeling and economic study. Energy Sources Part B-Economics Planning and Policy, 12(11), 1001–1006. https://doi.org/10.1080/15567249.2017.1347727
Liu, Z. L. (2017b). China’s strategy for the development of renewable energies. Energy Sources Part BEconomics Planning and Policy, 12(11), 971–975. https://doi.org/10.1080/15567249.2017.1336813
Merigo, J. M., Rocafort, A., & Aznar-Alarcon, J. P. (2016). Bibliometric overview of business & economics research. Journal of Business Economics and Management, 17(3), 397–413. https://doi.org/10.3846/16111699.2013.807868
Modak, N. M., Merigo, J. M., Weber, R., Manzor, F., & Ortuzar, J. D. (2019). Fifty years of Transportation Research journals: A bibliometric overview. Transportation Research Part A: Policy and Practice, 120, 188–223. https://doi.org/10.1016/j.tra.2018.11.015
Olczyk, M. (2016). Bibliometric approach to tracking the concept of international competitiveness. Journal of Business Economics and Management, 17(6), 945–959. https://doi.org/10.3846/16111699.2016.1236035
Pranulis, V. (2004). Business education in Lithuania. Transformations in Business & Economics, 3, 19–29.
Seltzer, A. J. (2018). Publication trends and future challenges for the Australian economic history review: A bibliometric analysis. Australian Economic History Review, 58(2), 112–133. https://doi.org/10.1111/aehr.12143
Silva, M. C. e, & Teixeira, A. A. C. (2011). A bibliometric account of the evolution of EE in the last two decades: Is ecological economics (becoming) a post-normal science? Ecological Economics, 70(5), 849–862. https://doi.org/10.1016/j.ecolecon.2010.11.016
Statistics Lithuania. (2013). Structure of gross value added by production approach by economic activity. Economy and Finance. Official Statistics Portal. Retrieved November 24, 2019, from https://osp.stat.gov.lt/en/rodikliai38
Tijssen, R. J. W., & Van Raan, A. F. J. (1994). Mapping changes in science and technology – bibliometric co-occurrence analysis of the R&D literature. Evaluation Review, 18(1), 98–115. https://doi.org/10.1177/0193841X9401800110
van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
Van Raan, A. F. J. (2005). Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods. Scientometrics, 62(1), 133–143. https://doi.org/10.1007/s11192-005-0008-6
Viebahn, P., & Chappin, E. J. L. (2018). Scrutinising the gap between the expected and actual deployment of carbon capture and storage – a bibliometric analysis. Energies, 11(9), 45. https://doi.org/10.3390/en11092319
Waltman, L., van Eck, N. J., & Noyons, E. C. M. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4(4), 629–635. https://doi.org/10.1016/j.joi.2010.07.002
Wang, P., Zhu, F. W., Song, H. Y., & Hou, J. H. (2018). A bibliometric retrospective of the journal Eurasia Journal of Mathematics, Science and Technology Education between 2012 and 2017. Eurasia Journal of Mathematics Science and Technology Education, 14(3), 765–775. https://doi.org/10.12973/ejmste/80911
Wei, G. W. (2016). Picture fuzzy cross-entropy for multiple attribute decision making problems. Journal of Business Economics and Management, 17(4), 491–502. https://doi.org/10.3846/16111699.2016.1197147
Wei, G. Y. (2019). A bibliometric analysis of the top five economics journals during 2012–2016. Journal of Economic Surveys, 33(1), 25–59. https://doi.org/10.1111/joes.12260
Yu, H., Wang, Y., Li, X., Wang, C., Sun, M., & Du, A. (2019a). Measuring ecological capital: State of the art, trends, and challenges. Journal of Cleaner Production, 219, 833–845. https://doi.org/10.1016/j.jclepro.2019.02.014
Yu, D. J., Xu, Z. S., & Saparauskas, J. (2019b). The evolution of “Technological and Economic Development of Economy”: A bibliometric analysis. Technological and Economic Development of Economy, 25(3), 369–385. https://doi.org/10.3846/tede.2019.10193
Yu, D. M., Liu, H. N., & Bresser, C. (2018). Peak load management based on hybrid power generation and demand response. Energy, 163, 969–985. https://doi.org/10.1016/j.energy.2018.08.177
Yu, D. M., Liu, H. N., Yan, G. G., Jiang, J., & Le Blond, S. (2017). Optimization of hybrid energy storage systems at the building level with combined heat and power generation. Energies, 10(5), 606. https://doi.org/10.3390/en10050606
Zhang, X. M., & Zhou, G. G. (2019). A scientometric analysis of ecological footprint of water resources from 2006–2018. Ekoloji, 28(107), 1539–1549.
Zhang, Y. Y., Thenkabail, P. S., & Wang, P. (2019). A bibliometric profile of the remote sensing open access journal published by MDPI between 2009 and 2018. Remote Sensing, 11(1), 91. https://doi.org/10.3390/rs11010091
Akmal, A., Podgorodnichenko, N., Greatbanks, R., & Everett, A. M. (2018). Bibliometric analysis of production planning and control (1990–2016). Production Planning & Control, 29(4), 333–351. https://doi.org/10.1080/09537287.2018.1429030
Aksnes, D. W., & Sivertsen, G. (2004). The effect of highly cited papers on national citation indicators. Scientometrics, 59(2), 213–224. https://doi.org/10.1023/B:SCIE.0000018529.58334.eb
Andres, A. (2010). Measuring academic research: How to undertake a bibliometric study. Oxford Chandos Publishing.
Bates, R. (2003). Phelan’s bibliometric analysis of the impact of Australian educational research. Australian Educational Researcher, 30(2), 57–64. https://doi.org/10.1007/BF03216790
Chen, Q. H., Geng, N., & Zhu, K. (2018). Review and bibliometric analysis of Chinese agricultural economics research: 2006–2015. China Agricultural Economic Review, 10(1), 152–172. https://doi.org/10.1108/CAER-07-2017-0141
Du, Y. X., & Teixeira, A. A. C. (2012). A bibliometric account of Chinese economics research through the lens of the China Economic Review. China Economic Review, 23(4), 743–762. https://doi.org/10.1016/j.chieco.2012.04.009
Garrigos-Simon, F. J., Botella-Carrubi, M. D., & Gonzalez-Cruz, T. F. (2018). Social capital, human capital, and sustainability: A bibliometric and visualization analysis. Sustainability, 10(12). https://doi.org/10.3390/su10124751
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569–16572. https://doi.org/10.1073/pnas.0507655102
Ho, Y. S. (2014). Classic articles on social work field in Social Science Citation Index: A bibliometric analysis. Scientometrics, 98(1), 137–155. https://doi.org/10.1007/s11192-013-1014-8
Lei, X. T., & Xu, Q. Y. (2020). Evolution and thematic changes of Journal of King Saud University – Science between 2009 and 2019: A bibliometric and visualized review. Journal of King Saud University – Science, 32(3), 2074–2080. https://doi.org/10.1016/j.jksus.2020.02.006
Liu, Z. L. (2017a). China’s plans and policies for reducing CO2 emission from biomass-fired power plants: Modeling and economic study. Energy Sources Part B-Economics Planning and Policy, 12(11), 1001–1006. https://doi.org/10.1080/15567249.2017.1347727
Liu, Z. L. (2017b). China’s strategy for the development of renewable energies. Energy Sources Part BEconomics Planning and Policy, 12(11), 971–975. https://doi.org/10.1080/15567249.2017.1336813
Merigo, J. M., Rocafort, A., & Aznar-Alarcon, J. P. (2016). Bibliometric overview of business & economics research. Journal of Business Economics and Management, 17(3), 397–413. https://doi.org/10.3846/16111699.2013.807868
Modak, N. M., Merigo, J. M., Weber, R., Manzor, F., & Ortuzar, J. D. (2019). Fifty years of Transportation Research journals: A bibliometric overview. Transportation Research Part A: Policy and Practice, 120, 188–223. https://doi.org/10.1016/j.tra.2018.11.015
Olczyk, M. (2016). Bibliometric approach to tracking the concept of international competitiveness. Journal of Business Economics and Management, 17(6), 945–959. https://doi.org/10.3846/16111699.2016.1236035
Pranulis, V. (2004). Business education in Lithuania. Transformations in Business & Economics, 3, 19–29.
Seltzer, A. J. (2018). Publication trends and future challenges for the Australian economic history review: A bibliometric analysis. Australian Economic History Review, 58(2), 112–133. https://doi.org/10.1111/aehr.12143
Silva, M. C. e, & Teixeira, A. A. C. (2011). A bibliometric account of the evolution of EE in the last two decades: Is ecological economics (becoming) a post-normal science? Ecological Economics, 70(5), 849–862. https://doi.org/10.1016/j.ecolecon.2010.11.016
Statistics Lithuania. (2013). Structure of gross value added by production approach by economic activity. Economy and Finance. Official Statistics Portal. Retrieved November 24, 2019, from https://osp.stat.gov.lt/en/rodikliai38
Tijssen, R. J. W., & Van Raan, A. F. J. (1994). Mapping changes in science and technology – bibliometric co-occurrence analysis of the R&D literature. Evaluation Review, 18(1), 98–115. https://doi.org/10.1177/0193841X9401800110
van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
Van Raan, A. F. J. (2005). Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods. Scientometrics, 62(1), 133–143. https://doi.org/10.1007/s11192-005-0008-6
Viebahn, P., & Chappin, E. J. L. (2018). Scrutinising the gap between the expected and actual deployment of carbon capture and storage – a bibliometric analysis. Energies, 11(9), 45. https://doi.org/10.3390/en11092319
Waltman, L., van Eck, N. J., & Noyons, E. C. M. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4(4), 629–635. https://doi.org/10.1016/j.joi.2010.07.002
Wang, P., Zhu, F. W., Song, H. Y., & Hou, J. H. (2018). A bibliometric retrospective of the journal Eurasia Journal of Mathematics, Science and Technology Education between 2012 and 2017. Eurasia Journal of Mathematics Science and Technology Education, 14(3), 765–775. https://doi.org/10.12973/ejmste/80911
Wei, G. W. (2016). Picture fuzzy cross-entropy for multiple attribute decision making problems. Journal of Business Economics and Management, 17(4), 491–502. https://doi.org/10.3846/16111699.2016.1197147
Wei, G. Y. (2019). A bibliometric analysis of the top five economics journals during 2012–2016. Journal of Economic Surveys, 33(1), 25–59. https://doi.org/10.1111/joes.12260
Yu, H., Wang, Y., Li, X., Wang, C., Sun, M., & Du, A. (2019a). Measuring ecological capital: State of the art, trends, and challenges. Journal of Cleaner Production, 219, 833–845. https://doi.org/10.1016/j.jclepro.2019.02.014
Yu, D. J., Xu, Z. S., & Saparauskas, J. (2019b). The evolution of “Technological and Economic Development of Economy”: A bibliometric analysis. Technological and Economic Development of Economy, 25(3), 369–385. https://doi.org/10.3846/tede.2019.10193
Yu, D. M., Liu, H. N., & Bresser, C. (2018). Peak load management based on hybrid power generation and demand response. Energy, 163, 969–985. https://doi.org/10.1016/j.energy.2018.08.177
Yu, D. M., Liu, H. N., Yan, G. G., Jiang, J., & Le Blond, S. (2017). Optimization of hybrid energy storage systems at the building level with combined heat and power generation. Energies, 10(5), 606. https://doi.org/10.3390/en10050606
Zhang, X. M., & Zhou, G. G. (2019). A scientometric analysis of ecological footprint of water resources from 2006–2018. Ekoloji, 28(107), 1539–1549.
Zhang, Y. Y., Thenkabail, P. S., & Wang, P. (2019). A bibliometric profile of the remote sensing open access journal published by MDPI between 2009 and 2018. Remote Sensing, 11(1), 91. https://doi.org/10.3390/rs11010091