La relación entre Inteligencia de Negocio e Inteligencia Competitivaun análisis retrospectivo y bibliométrico de la literatura de 1959 a 2017

  1. López-Robles, José Ricardo 1
  2. Otegi-Olaso, José Ramón 1
  3. Porto-Gómez, Igone 2
  4. Gamboa-Rosales, Hamurabi 3
  5. Gamboa-Rosales, Nadia Karina 3
  1. 1 Universidad del País Vasco/Euskal Herriko Unibertsitatea, Departamento de Expresión Gráfica y Proyectos de Ingeniería
  2. 2 Universidad de Deusto, Deusto Business School
  3. 3 Universidad Autónoma de Zacatecas, Unidad Académica de Ingeniería Eléctrica
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Journal:
Revista española de documentación científica

ISSN: 0210-0614,  1988-4621

Year of publication: 2020

Volume: 43

Issue: 1

Type: Article

DOI: 10.3989/REDC.2020.1.1619 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Revista española de documentación científica

Abstract

Actualmente, las organizaciones se encuentran inmersas en escenarios complejos y variables, pero sobre todo intensos en la producción, demanda y consumo de datos, información y conocimiento. Esto les ha llevado a desarrollar e incorporar modelos de inteligencia que mejoren su competitividad a través de la definición, recopilación, análisis, utilización y diseminación de información. No obstante, la complejidad de los escenarios y la diversidad de las organizaciones hace que no exista un modelo único de inteligencia, siendo la Inteligencia de Negocio e Inteligencia Competitiva los más difundidos y utilizados. En este sentido, este trabajo analiza los documentos disponibles en Scopus desde 1959 hasta 2017 sobre estos modelos, identificando las áreas temáticas más representativas, relaciones y evolución, estableciendo las bases para la integración de estos modelos bajo un mismo marco organizacional. Para ello, se ha evaluado su productividad y elaborado sus mapas científicos a través del uso de técnicas y herramientas bibliométricas.

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Funding information

The authors J. R. López-Robles, N. K. Gamboa-Rosales y H. Gamboa-Rosales acknowledge the support by the CONACYT-Consejo Nacional de Ciencia y Tecnología (Mexico) and DGRI-Dirección General de Relaciones Exteriores (México) to carry out this study. PhD Igone Porto Gómez acknowledges financial support from the Basque Government’s Department of Education, Language Policy and Culture (Grant Number IT885-16).

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Bibliographic References

  • Abrahams, A. S.; Jiao, J.; Wang, G. A.; Fan, W. G. (2012). Vehicle defect discovery from social media. Decision Support Systems, 54 (1), 87-97. https://doi.org/10.1016/j.dss.2012.04.005
  • Ale Ebrahim, N.; Salehi, H.; Embi, M. A.; Habibi, F.; Gholizadeh, H.; Motahar, S. M. (2014). Visibility and citation impact. International Education Studies, 7 (4), 120-125. https://doi.org/10.5539/ies.v7n4p120
  • Alonso, S.; Cabrerizo, F. J.; Herrera-Viedma, E.; Herrera, F. (2009). h-Index: A review focused in its variants, computation and standardization for different scientific fields. Journal of Informetrics, 3 (4), 273-289. https://doi.org/10.1016/j.joi.2009.04.001
  • Arguimbau-Vivó, L.; Fuentes-Pujol, E.; Gallifa-Calatayud, M. (2013). Una década de investigación documental sobre cienciometría en España: análisis de los artículos de la base de datos ISOC (2000-2009). Revista Española de Documentación Científica, 36 (2), en007. https://doi.org/10.3989/redc.2013.2.907
  • Bullinger, H. J. (2005). Realizing Enterprise Intelligence A Deeper Discussion on Concepts and Consequences to Realize the Intelligent Enterprise. En: Intelligent Enterprise: Theoretical Concepts and Practical Implications, pp. 87-110. Heidelberg: Physica-Verlag Gmbh & Co.
  • Cabeza-Ramírez, L. J.; Cañizares, S. M. S.; Fuentes-García, F. J. (2018). Characterisation of the classics of entrepreneurship (1968-2016). An analysis based on Web of Science. Revista Española de Documentacion Cientifica, 41 (2), e202. https://doi.org/10.3989/redc.2018.2.1488
  • Calero-Medina, C.; Noyons, E. C. (2008). Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field. Journal of Informetrics, 2 (4), 272-279. https://doi.org/10.1016/j.joi.2008.09.005
  • Callon, M.; Courtial, J. P.; Laville, F. (1991). Co-Word Analysis as a Tool for Describing the Network of Interactions between Basic and Technological Research - The Case of Polymer Chemistry. Scientometrics, 22 (1), 155-205. https://doi.org/10.1007/BF02019280
  • Cantos-Mateos, G.; Zulueta-García, M. d. l. Á.; Vargas-Quesada, B.; Chinchilla-Rodríguez, Z. (2013). Estudio comparativo sobre la visualización de redes de cowords a través de los descriptores del Science Citation Index y de Medline. I Congresso ISKO Espanha e Portugal/XI Congresso ISKO Espanha. http://hdl.handle.net/10261/89290
  • Capo, L. R. (1983). International Drug Procurement and Market Intelligence - Cuba. World Development, 11 (3), 217-222. https://doi.org/10.1016/0305-750X(83)90028-1
  • Carneiro, A. (2000). How does knowledge management influence innovation and competitiveness? Journal of knowledge management, 4 (2), 87-98. https://doi.org/10.1108/13673270010372242
  • Cleland, D. I.; King, W. R. (1975). Competitive business intelligence systems. Business Horizons, 18 (6), 19- 28. https://doi.org/10.1016/0007-6813(75)90036-1
  • Cobo, M. J.; Lopez-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
  • Cohen, W.; Czepiec, H. (1988). The role of ethics in gathering corporate intelligence. Journal of Business Ethics, 7 (3), 199-203. https://doi.org/10.1007/BF00381868
  • Cuartas, G. V.; Flórez, H. G.; Ciro, A. Ú.; Trujillo, M. V. (2014). Diversidad y reconocimiento de la producción académica en los sistemas de evaluación de la investigación en Colombia. Revista Española de Documentación Científica, 37 (3), e056. https://doi.org/10.3989/redc.2014.3.1133
  • Desai, B. H.; Bawden, D. (1993). Competitor Intelligence in the Pharmaceutical-Industry, the Role of the Information Professional. Journal of Information Science, 19 (5), 327-338. https://doi.org/10.1177/016555159301900501
  • Eidizadeh, R.; Salehzadeh, R.; Esfahani, A. C. (2017). Analysing the role of business intelligence, knowledge sharing and organisational innovation on gaining competitive advantage. Journal of Workplace Learning, 29 (4), 250-267. https://doi.org/10.1108/JWL-07-2016-0070
  • Fleisher, C. S.; Blenkhorn, D. L. (ed.) (2003). Controversies in Competitive Intelligence: The Enduring Issues. Westport, Connecticut: Praeger.
  • Fuld, L. M. (1985). Competitor intelligence: how to get it, how to use it, John Wiley & Sons Inc.
  • Gilad, B. (1989). The Role of Organized Competitive Intelligence in Corporate-Strategy. Columbia Journal of World Business, 24 (4), 29-35.
  • Gilad, B.; Gilad, T. (1985). A Systems-Approach to Business Intelligence. Business Horizons, 28 (5), 65-70. https://doi.org/10.1016/0007-6813(85)90070-9
  • Glanzel, W. (2003). Bibliometrics as a research field a course on theory and application of bibliometric indicators. Magyar Tudományos Akadémia, Kutatásszervezési Intézet.
  • Glenisson, P.; Glänzel, W.; Janssens, F.; De-Moor, B. (2005). Combining full text and bibliometric information in mapping scientific disciplines. Information Processing & Management, 41 (6), 1548-1572. https://doi.org/10.1016/j.ipm.2005.03.021
  • Glynn, M. A. (1996). Innovative genius: A framework for relating individual and organizational intelligences to innovation. Academy of Management Review, 21 (4), 1081-1111. https://doi.org/10.5465/amr.1996.9704071864
  • González-Valiente, C. L. (2016). Investigación sobre Bibliotecología, Ciencia de la Información, e Inteligencia Empresarial, a través de las presentaciones a los congresos INFO e IntEmpres: un análisis bibliométrico (2002-2012). Revista Española de Documentación Científica, 39 (4), e154. He, Q. (1999). Knowledge discovery through co-word analysis. Library Trends, 48 (1), 133-159. https://doi.org/10.3989/redc.2016.4.1377
  • 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 PMid:16275915 PMCid:PMC1283832
  • Kochen, M. (1989). Management Intelligence Systems. Advances in Computers, 28 227-278. https://doi.org/10.1016/S0065-2458(08)60049-2
  • Kohli, A. K.; Jaworski, B. J.; Kumar, A. (1993). Markor- A Measure of Market Orientation. Journal of Marketing Research, 30 (4), 467-477. https://doi.org/10.1177/002224379303000406
  • Kostoff, R. N.; Scaller, R. R. (2001). Science and technology roadmaps. IEEE Transactions on Engineering Management, 48 (2), 132-143. https://doi.org/10.1109/17.922473
  • Lagar Barbosa, M. P.; Escalona Fernández, M. I.; Pulgarín Guerrero, A. (2014). Análisis de la interdisciplinariedad en la ingeniería química universitaria española. Revista Española de Documentación Científica, 37 (1), e029. https://doi.org/10.3989/redc.2014.1.1048
  • Leydesdorff, L.; Rafols, I. (2009). A global map of science based on the ISI subject categories. Journal of the Association for Information Science and Technology, 60 (2), 348-362. https://doi.org/10.1002/asi.20967
  • Lichtenthaler, E. (2003). Third generation management of technology intelligence processes. R & D Management, 33 (4), 361-375. https://doi.org/10.1111/1467-9310.00304
  • Liebowitz, J. (2006). Strategic intelligence: business intelligence, competitive intelligence, and knowledge management. Auerbach Publications. https://doi.org/10.1201/9781420013900
  • Liu, Z.; Yin, Y.; Liu, W.; Dunford, M. (2015). Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis. Scientometrics, 103 (1), 135-158. https://doi.org/10.1007/s11192-014-1517-y
  • López-Robles, J. R.; Otegi-Olaso, J. R.; Gamboa-Rosales, N. K.; Gamboa-Rosales, H.; Cobo, M. J. (2018a). 60 Years of Business Intelligence: A Bibliometric Review from 1958 to 2017. New Trends in Intelligent Software Methodologies, Tools and Techniques: Proceedings of the 17th International Conference SoMeT_18, pp. 395-408. IOS Press.
  • López-Robles, J. R.; Otegi-Olaso, J. R.; Porto-Gómez, I.; Gamboa-Rosales, N. K.; Gamboa-Rosales, H.; Robles-Berumen, H. (2018b). Bibliometric Network Analysis to Identify the Intellectual Structure and Evolution of the Big Data Research Field. International Conference on Intelligent Data Engineering and Automated Learning, pp. 113-120. Cham: Springer. https://doi.org/10.1007/978-3-030-03496-2_13
  • López-Robles, J. R.; Otegi-Olaso, J. R.; Arcos, R.; Gamboa-Rosales, N. K.; Gamboa-Rosales, H. (2018c). Mapping the structure and evolution of JISIB: A bibliometric analysis of articles published in the Journal of Intelligence Studies in Business between 2011 and 2017. Journal of Intelligence Studies in Business, 8(3), 9-21. https://ojs.hh.se/index.php/JISIB/article/view/362 https://doi.org/10.37380/jisib.v8i3.362
  • López-Robles, J. R.; Otegi-Olaso, J. R.; Porto-Gómez, I.; Cobo, M. J. (2019). 30 years of intelligence models in management and business: A bibliometric review. International Journal of Information Management, 48, 22-38. https://doi.org/10.1016/j.ijinfomgt.2019.01.013
  • Luhn, H. P. (1958). A Business Intelligence System. IBM Journal of Research and development, 2 (4), 314-319. https://doi.org/10.1147/rd.24.0314
  • Martínez-Ávila, D.; San Segundo, R.; Zurian, F. A. (2014). Retos y oportunidades en organización del conocimiento en la intersección con las tecnologías de la información. Revista Española de Documentación Científica, 37 (3), e053. https://doi.org/10.3989/redc.2014.3.1112
  • Martínez, M. A.; Cobo, M. J.; Herrera, M.; Herrera- Viedma, E. (2015). Analyzing the Scientific Evolution of Social Work Using Science Mapping. Research on Social Work Practice, 25 (2), 257-277. https://doi.org/10.1177/1049731514522101
  • Martínez, M. A.; Herrera, M.; López-Gijón, J.; Herrera-Viedma, E. (2014). H-Classics: characterizing the concept of citation classics through H-index. Scientometrics, 98 (3), 1971-1983. https://doi.org/10.1007/s11192-013-1155-9
  • Moed, H. F.; De-Bruin, R. E.; Van-Leeuwen, T. N. (1995). New bibliometric tools for the assessment of national research performance: Database description, overview of indicators and first applications. Scientometrics, 33 (3), 381-422. https://doi.org/10.1007/BF02017338
  • Moreno-Fernández, O.; Moreno-Crespo, P. (2016). Análisis bibliométrico de las tesis doctorales españolas indexadas con el descriptor "Sector de la educación" (1976/2014). Revista Española de Documentación Científica, 39 (3), e146. https://doi.org/10.3989/redc.2016.3.1331
  • Porter, A. L.; Detampel, M. J. (1995). Technology Opportunities Analysis. Technological Forecasting and Social Change, 49 (3), 237-255. https://doi.org/10.1016/0040-1625(95)00022-3
  • Prescott, J. (1992). The role of competitive intelligence for US competitiveness. Competitive Intelligence Review, 2 (3), 8-10. https://doi.org/10.1002/cir.3880020305
  • Rodriguez-Bolivar, M. P.; Alcaide-Munoz, L.; Cobo, M. J. (2018). Analyzing the scientific evolution and impact of e-Participation research in JCR journals using science mapping. International Journal of Information Management, 40 111-119. https://doi.org/10.1016/j.ijinfomgt.2017.12.011
  • Rodríguez-Pallares, M. (2016). Propuesta conceptual de un modelo de gestión de contenidos y del conocimiento en la empresa radiofónica. Revista Española de Documentación Científica, 39 (2), e127. https://doi.org/10.3989/redc.2016.2.1271
  • Salles, M. (2006). Decision making in SMEs and information requirements for competitive intelligence. Production Planning and Control, 17 (3), 229-237. https://doi.org/10.1080/09537280500285367
  • Sawyer, S.; Huang, H. (2007). Conceptualizing information, technology, and people: Comparing information science and information systems literatures. Journal of the American Society for Information Science and Technology, 58 (10), 1436-1447. https://doi.org/10.1002/asi.20621
  • Schreiber, M. (2007). Self-citation corrections for the Hirsch index. EPL (Europhysics Letters), 78 (3), 30002. https://doi.org/10.1209/0295-5075/78/30002
  • Schubert, A. (2007). Successive h-indices. Scientometrics, 70 (1), 201-205. https://doi.org/10.1007/s11192-007-0112-x
  • Schwarz, J. O. (2007). Competitive Intelligence: A Field for Futurists? Futures Research Quarterly, 23 (1), 55-65.
  • Shujahat, M.; Hussain, S.; Javed, S.; Malik, M. I.; Thurasamy, R.; Ali, J. (2017). Strategic management model with lens of knowledge management and competitive intelligence: A review approach. VINE Journal of Information and Knowledge Management Systems, 47 (1), 55-93. https://doi.org/10.1108/VJIKMS-06-2016-0035
  • Sternitzke, C.; Bergmann, I. (2009). Similarity measures for document mapping: A comparative study on the level of an individual scientist. Scientometrics, 78 (1), 113-130. https://doi.org/10.1007/s11192-007-1961-z
  • 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 PMid:20585380 PMCid:PMC2883932
  • Von Krogh, G.; Ichijo, K.; Nonaka, I. (2000). Enabling knowledge creation: How to unlock the mystery of tacit knowledge and release the power of innovation, Oxford University Press on Demand. https://doi.org/10.1093/acprof:oso/9780195126167.001.0001
  • Walker, T. D. (1994). The literature of competitive intelligence. Library Trends, 43 (2), 271-284.
  • Wang, J. (2013). Citation time window choice for research impact evaluation. Scientometrics, 94 (3), 851-872. https://doi.org/10.1007/s11192-012-0775-9
  • Zhao, D.; Strotmann, A. (2015). Analysis and visualization of citation networks. Synthesis lectures on information concepts, retrieval, and services, 7 (1), 1-207. https://doi.org/10.2200/S00624ED1V01Y201501ICR039
  • Zinkhan, G. M.; Gelb, B. D. (1985). Competitive intelligence practices of industrial marketers. Industrial Marketing Management, 14 (4), 269-275. https://doi.org/10.1016/0019-8501(85)90019-7
Data source: Dialnet