Open Access
Issue
E3S Web Conf.
Volume 229, 2021
The 3rd International Conference of Computer Science and Renewable Energies (ICCSRE’2020)
Article Number 01042
Number of page(s) 9
DOI https://doi.org/10.1051/e3sconf/202122901042
Published online 25 January 2021
  1. Arora, B., & Rahman, Z. 2016. Using Big Data Analytics for Competitive Advantage. International Journal of Innovative Research and Development, Vol. 5, Issue 2, 248–250. [Google Scholar]
  2. Barney, J.B. 1991. Firm resources and sustained competitive advantage. Journal of Management, Vol. 17, Issue 1, 99–120. [CrossRef] [Google Scholar]
  3. Chen, X., & Siau, K. 2012. Effect of Business Intelligence and IT Infrastructure Flexibility on Organizational Agility. In Proceedings of the 33rd International Conference on Information Systems, Orlando, Florida. [Google Scholar]
  4. Deep, R., & Narwal, K. P. 2014. Intellectual capital and its association with financial performance: A study of Indian textile sector. International Journal of Management & Business Research, Vol. 4, Issue 1, 43–54. [Google Scholar]
  5. Duho, K.C.T. and Onumah, J.M. 2019. Bank diversification strategy and intellectual capital in Ghana: an empirical analysis. Asian Journal of Accounting Research, Vol. 4 No. 2, pp. 246-259. [CrossRef] [Google Scholar]
  6. Elisabetta, R. & Claudio, V. 2017. Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects. International Journal of Production Research, Taylor & Francis, 56 (15), pp. 5206–5221. [Google Scholar]
  7. Forbes Insight. 2015. Analytics: Don’t Forget the Human Element—Data and Analytics Impact Index. Management and Business Operations, From EY. [Google Scholar]
  8. Gartner. 2015. Gartner survey shows more than 75 percent of companies are investing or planning to invest in big data in the next two years. [Google Scholar]
  9. Grant, R. M. 1996. Towards A knowledge-based theory of the firm. Strategic Management Journal, Vol. 17, Issue Winter Special, 109–122. [CrossRef] [Google Scholar]
  10. Han, Y., & Li D.. 2015. Effects of intellectual capital on innovative performance: The role of knowledge-based dynamic capability. Journal of Knowledge Management, Vol. 53, Issue 1, 40–56. [Google Scholar]
  11. Kaya, F., Sahin, G., & Gurson, P. 2010. Intellectual capital in organizations. Problems and Perspectives in Management, Vol. 8, Issue 1, 153–160. [Google Scholar]
  12. Khalique, M., Hina, K., Ramayah, T. and Shaari, J.A.N.b. 2020. Intellectual capital in tourism SMEs in Azad Jammu and Kashmir, Pakistan. Journal of Intellectual Capital, Vol. 21 No. 3, pp. 333-355. [CrossRef] [Google Scholar]
  13. Khanhossini, D., Nikoonesbati, M., K., Heire, H., & Moazez, E. 2013. Investigating of relationship between intellectual capital and financial performance in MAPNA group companies. [Google Scholar]
  14. Kianto, A., Ritala, P., Spender, J., & Vanhala, M. 2014. The interaction of intellectual capital assets and knowledge management practices in organizational value creation. Journal of Intellectual capital, Vol. 15, Issue 3, 362–375. [CrossRef] [Google Scholar]
  15. Liu, C.H. & Mehandjiev, N. 2020. The Effect of Big Data Analytics Capability on Firm Performance: A Pilot Study in China. [Google Scholar]
  16. Maditinos, D., Chatzoudes, D., Tsairidis C. and Theriou, G. 2011. The impact of intellectual capital on firms’ market value and financial performance. Journal of Intellectual Capital, Vol. 12 No. 1, pp. 132-151. [CrossRef] [Google Scholar]
  17. Maroufkhani, P. & Wagner, R. & Wan Ismail, W.K. & Baroto, M. & Nourani, M. 2019. Big Data Analytics and Firm Performance: A Systematic Review. Information. [Google Scholar]
  18. Mehri, M., Umar, M.S., Saeidi, P., Hekmat, R.K., & Naslmosavi, S. 2013. Intellectual Capital and Firm Performance of High Intangible Intensive Industries: Malaysia Evidence. Asian Social Science, Vol. 9, Issue 9, 146–154. [CrossRef] [Google Scholar]
  19. Morariu, C. 2014. Intellectual capital performance in the case of Romanian public companies. Journal of Intellectual Capital, Vol. 15, Issue 3, 392–410. [CrossRef] [Google Scholar]
  20. Müller, O. & Fay, M. & Brocke, J. 2018. The Effect of Big Data and Analytics on Firm Performance: An Econometric Analysis Considering Industry Characteristics. Journal of Management Information Systems. [Google Scholar]
  21. Myung, I. J. 2003. Tutorial on maximum likelihood estimation. Journal of Mathematical Psychology, Vol. 47, Issue 2003, 90–100. [CrossRef] [Google Scholar]
  22. Nemati, S., Jalilian, H. R., & Akbari, P. 2013. Investigate the relationship between intellectual capital and company performance. Scientific Journal of Pure and Applied Sciences, Vol. 2, Issue 12, 379–385. [Google Scholar]
  23. Oppong, G., Pattanayak, J., & Irfan, M. 2019. Impact of intellectual capital on productivity of insurance companies in Ghana. Journal of Intellectual Capital, 20(6), 763–783. [CrossRef] [Google Scholar]
  24. Popovič, A. & Hackney, R. & Tassabehji, R. & Castelli, M. 2016. The impact of big data analytics on firms’ high value business performance. Information Systems Frontiers. 1-14. [Google Scholar]
  25. Pulic, A 1998. Measuring the performance of intellectual potential in knowledge economy. [Google Scholar]
  26. Ragab, M., & Arisha, A. 2013. Knowledge management and measurement: a critical review. Journal of Knowledge Management, Vol. 17, Issue 6, 873–901. [CrossRef] [Google Scholar]
  27. Riahi-Belkaoui, A. 2002. Intellectual Capital and Firm Performance of U.S. Multinational Firms: A Study of the Resource-Based and Stakeholder Views. SSRN Electronic Journal. [Google Scholar]
  28. Samsudeen, S.N. 2020. Impact of Big Data Analytics on Firm Performance: Mediating Role of Knowledge Management International Journal of Advanced Science and Technology, Vol 29, issue 6, 144-157. [Google Scholar]
  29. Sarmadi, S. 2013. Investigating of relationship between intellectual capital and financial performance of Petrochemical Companies listed in Tehran Stock Exchange. Social Science Research Network. [Google Scholar]
  30. Strawn, G.O. 2012. Scientific research: How many paradigms? EDUCAUSE Review, Vol. 47, Issue 3, 26–34. [Google Scholar]
  31. Sveiby, K.E. 1997. The New Organizational Wealth: Managing and Measuring KnowledgeBased Assets. New York, NY: Berrett-Koehler. [Google Scholar]
  32. Thamir, A. & Poulis, E. 2015. Business intelligence capabilities and implementation strategies. International Journal of Global Business, 8(1), 34–45. [Google Scholar]
  33. Vishnu, S., & Gupta, V. 2014. Intellectual capital and performance of pharmaceutical firms in India. Journal of Intellectual Capital, 15(1), 83–99. [CrossRef] [Google Scholar]
  34. Wang, Y., Su, X., Wang, H. and Zou R. 2019. Intellectual capital and technological dynamic capability: evidence from Chinese enterprises. Journal of Intellectual Capital, Vol. 20 No. 4, pp. 453-471. [CrossRef] [Google Scholar]

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