Abstract
In this study, we illustrate the most recent stage in the scholarly development of the field of Business Analytics. Using around 23,000 research publications collected from the Web of Science, we network-analyzed four types of dataset that include keywords, titles, institutions, and countries. It is noteworthy that we found a thematic cluster focusing on analytical techniques and tools, particular with the rapid dissemination of “big data”-related studies. It is not surprising that universities and institutions in advanced countries in the West still occupy the central position of the collaboration network. However, we can discern a global shift toward certain developing and transitional economies in the world science base.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Barnett, G.A., Lee, M., Jiang, K., Park, H.W.: The flow of international students from a macro perspective: a network analysis. Compare: A J. Comp. Int. Educ. 46(4), 533–559 (2015)
Choi, J., Yi, S., Lee, K.C.: Analysis of keyword networks in MIS research and implications for predicting knowledge evolution. Inf. Manag. 48(8), 371–381 (2011)
Davenport, T.H., Kim, J.: Keeping up with the Quants: Your Guide to Understanding and Using Analytics. Harvard Business Review Press, Brighton (2013)
Feicheng, M., Yating, L.: Utilising social network analysis to study the characteristics and functions of the co-occurrence network of online tags. Online Inf. Rev. 38(2), 232–247 (2014)
Gereffi, G, Fernandez-Stark K.: The offshore services value chain: developing countries and the crisis. World Bank Policy Research Working Paper No. 5262 (2010). https://ssrn.com/abstract=1585041
Kwon, K.S., Park, H.W., So, M., Leydesdorff, L.: Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea. Scientometrics 90(1), 163–176 (2011)
Leydesdorff, L., Strand, Ø.: The Swedish system of innovation: regional synergies in a knowledgebased economy. J. Assoc. Inf. Sci. Technol. 64(9), 1890–1902 (2013)
Luhn, H.P.: A business intelligence system. IBM J. Res. Dev. 2(4), 314–319 (1958)
Park, H.W., Leydesdorff, L.: Decomposing social and semantic networks in emerging “big data” research. J Informetr. 7(3), 756–765 (2013)
Schlegel, K.: Hype Cycle for Business Intelligence and Analytics. Gartner Inc., Standford (2013)
Steinmueller, W.E.: ICTs and the possibilities for leapfrogging by developing countries. Int. Lab. Rev. 140(2), 193–210 (2001)
Troilo, M., Bouchet, A., Urban, T.L., Sutton, W.A.: Perception, reality, and the adoption of business analytics: evidence from North American professional sport organizations. Omega 59, 72–83 (2016)
Van Eck, N.J., Waltman, L.: Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84(2), 523–538 (2010)
Watson, H.J.: Tutorial: business intelligence–past, present, and future. Commun. Assoc. Inf. Syst. 25(1), 39 (2009)
Watson, H.J., Leonard, T., Page, J., Jennings, C., Lewis, T., Powell, J.E.: 4 US Xpress: where Trucks and BI Hit the Road (2011)
Zong, Q.J., Shen, H.Z., Yuan, Q.J., Hu, X.W., Hou, Z.P., Deng, S.G.: Doctoral dissertations of library and information science in China: a co-word analysis. Scientometrics 94(2), 781–799 (2013)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Jalali, S.M.J., Park, H.W. State of the art in business analytics: themes and collaborations. Qual Quant 52, 627–633 (2018). https://doi.org/10.1007/s11135-017-0522-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11135-017-0522-7