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

Authors

  • José Ricardo López-Robles University of the Basque Country, Department of Graphic Design and Engineering Projects, Bilbao
  • Jose Ramón Otegi-Olaso University of the Basque Country, Department of Graphic Design and Engineering Projects, Bilbao
  • Rubén Arcos King Juan Carlos University, Department of Communication Sciences and Sociology, Madrid
  • Nadia Karina Gamboa- Rosales Autonomous University of Zacatecas, Academic Unit of Electric Engineering, Zacatecas
  • Hamurabi Gamboa-Rosales Autonomous University of Zacatecas, Academic Unit of Electric Engineering, Zacatecas

DOI:

https://doi.org/10.37380/jisib.v8i3.362

Keywords:

Business intelligence, competitive intelligence, conceptual evolution map, coword analysis, science mapping analysis

Abstract

Today, organizations are facing technological, economic and social challenges thatrequire the intelligent use of data, information and knowledge. To this end, organizations aredeveloping capabilities around intelligence. From the organizational point of view, intelligencein business is a relatively new field study, so it is convenient to know and understand what themain themes are and their evolution in order to facilitate their integration. Taking this intoaccount, the current research conducts a conceptual and structural analysis of the Journal ofIntelligence Studies in Business (JISIB). JISIB is one of the few academic journals devotedpurely to publishing articles about business intelligence, collective intelligence, competitiveintelligence, economic intelligence, market intelligence, marketing intelligence, scientific andtechnical intelligence, strategic intelligence, and their equivalent terms in other languages. Thisanalysis is carried out by quantifying the main bibliometric performance indicators, identifyingthe main authors and evaluating the development of the main themes within it using SciMATas a bibliometric analysis software. To this purpose, the documents published in JISIB from2011 to 2017 were retrieved from two different sources: the JISIB official web page and the Webof Science. In this way, the bibliometric performance analysis evaluates the impact of thescientific output based on publications and their citations, while science mapping illustrates theintellectual structure of the journal and the evolution of the main research themes. Bearing inmind that JISIB provides an open platform for the publication of original research articles,opinion articles, book reviews and conference proceedings about the intelligence field, thisresearch allows to understand its structure and evolution and all the themes associated with it.It provides a framework to support intelligence researchers and professionals in thedevelopment and direction of future research by identifying emerging, transversal, core anddeclining themes. Finally, this study includes a performance analysis of JISIB.

References

Batagelj, V., and Cerinšek, M. (2013). On

bibliographic networks. Scientometrics, 96(3),

-864.

Bjork, B.-C., Roos, A., and Lauri, M. (2009).

Scientific journal publishing: yearly volume

and open access availability. Information

Research: An International Electronic

Journal, 14(1).

Börner, K., Chen, C., and Boyack, K. W. (2003).

Visualizing knowledge domains. Annual

Review of Information Science and

Technology, 37(1), 179-255.

Calof, J., and Dishman, P. (2007). Competitive

intelligence and the global SME. Cheltenham:

Edward Elgar Publishing Ltd.

Castellanos, O. F., and Torres, L. M. (2010).

Technology Intelligence: Methods and

Capabilities for Generation of Knowledge and

Decision Making. New York: IEEE.

Cobo, M. J., Lopez-Herrera, A. G., Herrera-

Viedma, E., and Herrera, F. (2011a). An

approach for detecting, quantifying, and

visualizing the evolution of a research field: A

practical application to the Fuzzy Sets Theory

field. Journal of Informetrics, 5(1), 146-166.

Cobo, M. J., Lopez-Herrera, A. G., Herrera-

Viedma, E., and Herrera, F. (2011b). 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.

Cobo, M. J., Lopez-Herrera, A. G., Herrera-

Viedma, E., and Herrera, F. (2012). SciMAT:

A new science mapping analysis software tool.

Journal of the American Society for

Information Science and Technology, 63(8),

-1630.

Chang, H., Gausemeier, J., Ihmels, S.,

Wenzelmann, C., and Iaeng. (2007).

Technology intelligence with bibliometrics

Imecs 2007: International Multiconference of

Engineers and Computer Scientists, Vols I

and Ii (pp. 796-+). Hong Kong: Int Assoc

Engineers-Iaeng.

Davenport, E., and Cronin, B. (1994).

Competitive intelligence and social

advantage. Library Trends, 43(2), 239-252.

de' Rossi, S. (2005). Marketing intelligence

system to forecast telecommunications

competitive landscape. In A. Zanasi (Ed.), Text

Mining and Its Applications to Intelligence,

Crm and Knowledge Management (Vol. 2, pp.

-225). Southampton: Wit

Press/Computational Mechanics Publications.

De Coster, R., Phillips, S., Szopa, A., Karwowski,

W., and DePablos, P. O. (2013). Technology

Intelligence Systems in Industry and

Academic Networks. Hersey: IGI Global.

De la Flor-Martinez, M., Galindo-Moreno, P.,

Sanchez-Fernandez, E., Piattelli, A., Cobo, M.

J., and Herrera-Viedma, E. (2016). H-classic:

a new method to identify classic articles in

Implant Dentistry, Periodontics, and Oral

Surgery. Clinical Oral Implants Research,

(10), 1317-1330.

Devouard, F. (2011). Collective Intelligence and

Business Enterprise 2.0. Lausanne: Epfl

Press.

Dewatripont, M., Ginsburgh, V., Legros, P.,

Walckiers, A., Devroey, J.-P., Dujardin, M.,

Ivaldi, M. (2006). Study on the economic and

technical evolution of the scientific publication

markets in Europe.

Du Toit, A. S. A. (2003). Competitive intelligence

in the knowledge economy: What is in it for

South African manufacturing enterprises?

International Journal of Information

Management, 23(2), 111-120.

Du Toit, A. S. A., and Sewdass, N. (2014).

Competitive intelligence (CI) in Morocco.

African Journal of Library Archives and

Information Science, 24(1), 3-13.

Du Toit, A. S. A. (2015). Competitive intelligence

research: An investigation of trends in the

literature. Journal of Intelligence Studies in

Business, 5(2), 14-21.

Gilad, B., and Gilad, T. (1985). A Systems-

Approach to Business Intelligence. Business

Horizons, 28(5), 65-70.

Gutiérrez-Salcedo, M., Martínez, M. A., Moral-

Munoz, J. A., Herrera-Viedma, E., and Cobo,

M. J. (2017). Some bibliometric procedures for

analyzing and evaluating research fields.

Applied Intelligence, 1-13.

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,

(46), 16569.

James, D. (2014). 3D ICs in the Real World 2014

th Annual Semi Advanced Semiconductor

Manufacturing Conference (pp. 113-119). New

York: IEEE.

Kelley, W. T. (1965). Marketing Intelligence for

Top Management. Journal of Marketing,

(4), 19-24.

Larivet, S. (2009). Economic Intelligence in Small

and Medium Businesses in France: a survey.

Vasteras-Eskilstina: Malardalen Univ

Sweden.

Luhn, H. P. (1958). A Business Intelligence

System. IBM Journal of Research and

Development, 2(4), 314-319.

Maltz, E., and Kohli, A. K. (1996). Market

intelligence dissemination across functional

boundaries. Journal of Marketing Research,

(1), 47-61.

Martínez, M. A., Herrera, M., López-Gijón, J., and

Herrera-Viedma, E. (2014). H-Classics:

Characterizing the concept of citation classics

through H-index. Scientometrics, 98(3), 1971-

McCormick, K., Creeth, R., Mutchler, S.,

Azevedo, A., and Santos, M. F. (2015). 3rd

Order Analytics Demand Planning: A

Collaboration of BI and Predictive Analytics

Tools. Hersey: IGI Global.

Menychtas, A., Vogel, J., Giessmann, A.,

Gatzioura, A., Gomez, S. G., Moulos, V.,

Varvarigou, T. (2014). 4CaaSt marketplace:

An advanced business environment for

trading cloud services. Future Generation

Computer Systems-the International Journal

of Grid Computing and Escience, 41, 104-120.

Moral-Munoz, J. A., Cobo, M. J., Chiclana, F.,

Collop, A., and Herrera-Viedma, E. (2016).

Analyzing Highly Cited Papers in Intelligent

Transportation Systems. Ieee Transactions on

Intelligent Transportation Systems, 17(4),

-1001.

Mortara, L., Kerr, C. I. V., Phaal, R., and Probert,

D. R. (2009). Technology Intelligence practice

in UK technology-based companies.

International Journal of Technology

Management, 48(1), 115-135.

Navarro-Garcia, A., Peris-Oritz, M., and Barrera-

Barrera, R. (2016). Market intelligence effect

on perceived psychic distance, strategic

behaviours and export performance in

industrial SMEs. Journal of Business &

Industrial Marketing, 31(3), 365-380.

Perrine, S. (2004). Economic intelligence: How to

process useful information? Orlando: Int Inst

Informatics & Systemics.

Prescott, J. E., and Gibbons, P. T. (1993). Global

competitive intelligence: an overview. Global

Perspectives on Competitive Intelligence.

Alexandria, VA: Society of Competitive

Intelligence Professionals, 66.

Prescott, J. E., and Bharadwaj, G. (1995).

Competitive intelligence practices: A survey.

Competitive Intelligence Review, 6 (2), pp. 4-

Seiglie, C., Coissard, S., and Echinard, Y. (2008).

Economic Intelligence and National Security.

In J. Fontanel and M. Chatterji (Eds.), War,

Peace and Security (Vol. 6, pp. 235-248).

Bingley: Emerald Group Publishing Limited.

Sheremetov, L., and Rocha-Mier, L. (2004).

Collective intelligence as a framework for

supply chain management. New York: IEEE.

Shimbel, A. (1975). Collective Intelligence.

General Systems, 20, 205-208.

Smith, A. H. (1953). Economic Intelligence Work

in a Bank. Journal of Documentation, 9(1), 42-

Søilen, K. S. (2013). An overview of articles on

Competitive Intelligence in JCIM and CIR.

Journal of Intelligence Studies in Business,

(1).

Søilen, K.S. (2015) A place for intelligence studies

as a scientific discipline. Journal of

Intelligence Studies in Business. Vol 5, No 3.

Pages 35-46.

Søilen, K.S. (2016) A research agenda for

intelligence studies in business. Journal of

Intelligence Studies in Business. Vol 6, No 1.

Pages 21-36.

Søilen, K. S. (2017). Business intelligence, big

data and theory. Journal of Intelligence

Studies in Business, 7(1), 4-4.

Tuta, M., Zara, I. A., Orzan, G., Purcarea, V. L.,

and Orzan, O. A. (2014). Competitive

Intelligence - An Enhancement to Business

Intelligence. Economic Computation and

Economic Cybernetics Studies and Research,

(2), 151-161.

Wang, J. (2013). Citation time window choice for

research impact evaluation. Scientometrics,

(3), 851-872.

Zhou, F., and Lai, K. K. (2009). Marketing

Intelligence on Customer Experiential Values:

An Structural Equation Model Approach. Los

Alamitos: IEEE Computer Soc.

Downloads

Published

2019-01-14

Issue

Vol. 8 No. 3 (2018): JISIB

Section

Article

License

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

    1. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

  1. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).