Problem structuring in decision-making: A bibliometric analysis
Keywords:
Problem structuring, Decision-making, Bibliometrics, Web of science
Abstract
Bibliometrics is a field of research that quantitatively analyzes bibliographic material. To this end, this article proposes a bibliometric analysis of the structuring of the problem for decision-making between 1980 and 2019, using the Web of Science database to collect scientific information. The objective of this research is to show bibliometric indicators including the total number of publications and citations, and h-index, as well as authors, countries, universities, sources and categories. The results show the relevance of the study topic, which increased in 1990, with 2018 and 2019 being the years with the greatest scientific production. Likewise, the United States and London are the countries that have the greatest production of documents on the subject and are key in the network of collaborators. The article may be useful for researchers and students who want to delve deeper into the topic, providing help to build a solid theoretical framework. Vosviewer software was used as a tool to build and visualize biliometric networks.Downloads
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References
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Martínez-López, F. J., Merigó, J. M., Gázquez-Abad, J. C., & Ruiz-Real, J. L. (2020). Industrial marketing management: Bibliometric overview since its foundation. Industrial Marketing Management, 84(July), 19–38. https://doi.org/10.1016/j.indmarman.2019.07.014
Meinard, Y., & Cailloux, O. (2020). On justifying the norms underlying decision support. European Journal of Operational Research, 285(3), 1002–1010. https://doi.org/10.1016/j.ejor.2020.02.022
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Morton, A., Ackermann, F., & Belton, V. (2007). Problem structuring without workshops? Experiences with distributed interaction within a PSM process. Journal of the Operational Research Society, 58(5), 547–556. https://doi.org/10.1057/palgrave.jors.2602210
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Shukla, N., Merigó, J. M., Lammers, T., & Miranda, L. (2020). Half a century of computer methods and programs in biomedicine: A bibliometric analysis from 1970 to 2017. Computer Methods and Programs in Biomedicine, 183. https://doi.org/10.1016/j.cmpb.2019.105075
Valenzuela-Fernandez, L., Merigó, J. M., Lichtenthal, J. D., & Nicolas, C. (2019). A Bibliometric Analysis of the First 25 Years of the Journal of Business-to-Business Marketing. Journal of Business-to-Business Marketing, 26(1), 75–94. https://doi.org/10.1080/1051712X.2019.1565142
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
Wong, C. Y., Boon-Itt, S., & Wong, C. W. Y. (2011). The contingency effects of environmental uncertainty on the relationship between supply chain integration and operational performance. Journal of Operations Management, 29(6), 604–615. https://doi.org/10.1016/j.jom.2011.01.003
Blanco-Mesa, F., León-Castro, E., & Merigó, J. M. (2019). A bibliometric analysis of aggregation operators. Applied Soft Computing Journal, 81, 105488. https://doi.org/10.1016/j.asoc.2019.105488
Cunha, A., & Morais, D. (2019). Problem structuring methods in group decision making: a comparative study of their application. Operational Research, 19(4), 1081–1100. https://doi.org/10.1007/s12351-017-0310-0
Durugbo, C. M. (2020). Affordance-based problem structuring for workplace innovation. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2019.12.044
Hisschemöller, M., & Hoppe, R. (1996). Coping with interactable controversies: The case for problem structuring in policy design and analysis. Knowledge and Policy: The International Journal of Knowledge Transfer and Utilization, 8(4), 40–60.
Keeney, R. L. (1996). Value-focused thinking: Identifying decision opportunities and creating alternatives. European Journal of Operational Research, 92(3), 537–549. https://doi.org/10.1016/0377-2217(96)00004-5
Keeney, R. L. (2004). Making Better Decision Makers. Decision Analysis, 1(4), 193–204. https://doi.org/10.1287/deca.1040.0009
Khadka, C., Hujala, T., Wolfslehner, B., & Vacik, H. (2013). Problem structuring in participatory forest planning. Forest Policy and Economics, 26, 1–11. https://doi.org/10.1016/j.forpol.2012.09.008
Lowe, D., & Yearworth, M. (2019). Response to viewpoint : Whither problem structuring methods ( PSMs )? Response to viewpoint : Whither problem structuring methods ( PSMs )? Journal of the Operational Research Society, 0(0), 1–3. https://doi.org/10.1080/01605682.2018.1502629
Martínez-López, F. J., Merigó, J. M., Gázquez-Abad, J. C., & Ruiz-Real, J. L. (2020). Industrial marketing management: Bibliometric overview since its foundation. Industrial Marketing Management, 84(July), 19–38. https://doi.org/10.1016/j.indmarman.2019.07.014
Meinard, Y., & Cailloux, O. (2020). On justifying the norms underlying decision support. European Journal of Operational Research, 285(3), 1002–1010. https://doi.org/10.1016/j.ejor.2020.02.022
Merigó, J. M., Gil-Lafuente, A. M., & Yager, R. R. (2015). An overview of fuzzy research with bibliometric indicators. Applied Soft Computing Journal, 27, 420–433. https://doi.org/10.1016/j.asoc.2014.10.035
Merigó, J. M., & Yang, J. B. (2017). A bibliometric analysis of operations research and management science. Omega (United Kingdom), 73, 37–48. https://doi.org/10.1016/j.omega.2016.12.004
Mingers, J., & Rosenhead, J. (2004). Problem structuring methods in action. European Journal of Operational Research, 152(3), 530–554. https://doi.org/10.1016/S0377-2217(03)00056-0
Morton, A., Ackermann, F., & Belton, V. (2007). Problem structuring without workshops? Experiences with distributed interaction within a PSM process. Journal of the Operational Research Society, 58(5), 547–556. https://doi.org/10.1057/palgrave.jors.2602210
Pidd, M., & Woolley, R. N. (1980). A Pilot Study of Problem Structuring A Pilot Study of Problem Structuring, 5682(1980). https://doi.org/10.1057/jors.1980.201
Schramm, V. B., & Schramm, F. (2018). An Approach for Supporting Problem Structuring in Water Resources Management and Planning. Water Resources Management, 32(9), 2955–2968. https://doi.org/10.1007/s11269-018-1966-9
Shukla, N., Merigó, J. M., Lammers, T., & Miranda, L. (2020). Half a century of computer methods and programs in biomedicine: A bibliometric analysis from 1970 to 2017. Computer Methods and Programs in Biomedicine, 183. https://doi.org/10.1016/j.cmpb.2019.105075
Valenzuela-Fernandez, L., Merigó, J. M., Lichtenthal, J. D., & Nicolas, C. (2019). A Bibliometric Analysis of the First 25 Years of the Journal of Business-to-Business Marketing. Journal of Business-to-Business Marketing, 26(1), 75–94. https://doi.org/10.1080/1051712X.2019.1565142
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
Wong, C. Y., Boon-Itt, S., & Wong, C. W. Y. (2011). The contingency effects of environmental uncertainty on the relationship between supply chain integration and operational performance. Journal of Operations Management, 29(6), 604–615. https://doi.org/10.1016/j.jom.2011.01.003
Published
2023-12-21
How to Cite
Sanchez-Valenzuela, K., Gastélum Chavira, D. A., Ballardo-Cárdenas, D., & Valenzuela Flores, V. (2023). Problem structuring in decision-making: A bibliometric analysis. Journal of Business, Universidad Del Pacífico (Lima, Peru), 15(1), 83-99. https://doi.org/https://doi.org/10.21678/jb.2023.2237
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