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

José Ricardo López-Robles; José Ramón Otegi-Olaso; Igone Porto-Gómez; Hamurabi Gamboa-Rosales; Nadia Karina Gamboa-Rosales

doi:10.3989/redc.2020.1.1619

Authors

José Ricardo López-Robles Universidad del País Vasco/Euskal Herriko Unibertsitatea, Departamento de Expresión Gráfica y Proyectos de Ingeniería https://orcid.org/0000-0003-3780-1955
José Ramón Otegi-Olaso Universidad del País Vasco/Euskal Herriko Unibertsitatea, Departamento de Expresión Gráfica y Proyectos de Ingeniería https://orcid.org/0000-0001-6023-8537
Igone Porto-Gómez Universidad de Deusto, Deusto Business School https://orcid.org/0000-0003-2865-4818
Hamurabi Gamboa-Rosales Universidad Autónoma de Zacatecas, Unidad Académica de Ingeniería Eléctrica https://orcid.org/0000-0002-9498-6602
Nadia Karina Gamboa-Rosales Universidad Autónoma de Zacatecas, Unidad Académica de Ingeniería Eléctrica https://orcid.org/0000-0003-3421-8289

DOI:

https://doi.org/10.3989/redc.2020.1.1619

Keywords:

business intelligence, competitive intelligence, co-word analysis, conceptual evolution map, information management, science mapping analysis, intelligence models, strategic intelligence

Abstract

Nowadays, organizations are immersed in complex and variable but, above all, intense scenarios, in terms of production, demand and consumption of information. This, consequently, has led organizations to incorporate intelligence approaches into their strategy improving their competitiveness in an agile and flexible way through the definition, collection, analysis, exploitation and dissemination of information. Nevertheless, the complexity of scenarios and the diversity of the organizations themselves make it hard to have a unique intelligence model. This paper analyzes the documents hosted in Scopus from 1959 to 2017 about Business Intelligence and Competitive Intelligence -the most widespread intelligence approaches-, to identify the most representative thematic areas, their relationship, composition and evolution, with the aim of supporting researches and professionals on research, development with an hollistic intelligence approach. To this end, the performance of the main bibliometric indicators was evaluated and scientific maps of both intelligence approaches were produced.

Downloads

Download data is not yet available.

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