Research Article
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Year 2023, Volume: 10 Issue: 2, 38 - 50, 30.06.2023
https://doi.org/10.17261/Pressacademia.2023.1734

Abstract

References

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  • Duque, J., Godinho, A., & Vasconcelos, J. (2022). Knowledge data extraction for business intelligence: A design science research approach. Procedia Computer Science, 204, 131-139. https://doi.org/10.1016/j.procs.2022.08.016
  • Eidizadeh, R., Salehzadeh, R., & Chitsaz Esfahani, A. (2017). Analysing the role of business intelligence, knowledge sharing and organizational innovation on gaining competitive advantage. Journal of Workplace Learning, 29(4), 250-267. https://doi.org/10.1108/JWL-07-2016-0070
  • Gaardboe, R., Nyvang, T., & Sandalgaard, N. (2017). Business Intelligence Success applied to Healthcare Information Systems. Procedia Computer Science, 121, 483–490. https://doi.org/10.1016/j.procs.2017.11.065
  • Gassmann, O., Enkel, E., & Chesbrough, H. (2010). The future of open innovation. R&D Management, 40(3), 213-221. https://doi.org/10.1111/j.1467-9310.2010.00605.x
  • Gök, O., & Peker, S. (2017). Understanding the links among innovation performance, market performance and financial performance. Review of managerial science, 11, 605-631. https://doi.org/10.1007/s11846-016-0198-8
  • Harahap, I., Septiani, I., & Endri, E. (2020). Effect of financial performance on firms’ value of cable companies in Indonesia. Accounting, 6(6), 1103-1110. https://doi.org/10.5267/j.ac.2020.7.008
  • Huang, Z. X., Savita, K. S., Dan-yi, L., & Omar, A. H. (2022). The impact of business intelligence on the marketing with emphasis on cooperative learning: Case-study on the insurance companies. Information Processing & Management, 59(2), 102824. https://doi.org/10.1016/j.ipm.2021.102824
  • Huang, Z. X., Savita, K. S., & Zhong-jie, J. (2022). The Business Intelligence impact on the financial performance of start-ups. Information Processing & Management, 59(1), 102761. https://doi.org/10.1016/j.ipm.2021.102761
  • Huizingh, E. K. (2011). Open innovation: State of the art and future perspectives. Technovation, 31(1), 2-9. https://doi.org/10.1016/j.technovation.2010.10.002
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BUSINESS INTELLIGENCE ON FIRM’S PERFORMANCE: THE MEDIATION EFFECTS OF OPEN INNOVATION AND FINANCIAL PERFORMANCE

Year 2023, Volume: 10 Issue: 2, 38 - 50, 30.06.2023
https://doi.org/10.17261/Pressacademia.2023.1734

Abstract

Purpose- In order to recognize and adapt to the changing demands and desires of their customers, businesses must become more inventive. This is made necessary by the quickly evolving multinational business environment and the extraordinary technological breakthroughs. Due to assure firm performance, these intelligence businesses must be able to respond to the complex dynamics in the global marketplace successfully, accurately, efficiently, and fast. Open innovation can be created to enhance performance by using knowledge learned about outside projects, rival businesses, clients, and new technologies. The purpose of this study is to ascertain the impact of business intelligence on a firm's performance with the mediation effect of open innovation on financial performance.
Methodology- The statistical population for this study consists of 200 managers from internet technology and software enterprises. There are 132 company managers in the sample. A questionnaire that was distributed and gathered using a non-probability sampling technique is the data collection tool in this study. The research data were also examined using Smart-PLS and SPSS software. In this study, both descriptive and inferential analyses were used.
Findings- Data analysis using PLS software and research findings demonstrate that business intelligence and open innovation have a positive influence on financial and firm performance. The findings also show that open innovation and financial performance play the roles of mediators.
Conclusion- The results demonstrate that higher business intelligence levels enhance firm performance. In today's fast-paced and competitive company world, managing and optimizing business performance is essential for maintaining viability as well as maximizing firm profitability. In order to access performance, effective business performance management will combine business analytics with open innovation. Business intelligence can therefore offer a foundation for comprehending which data is pertinent for open innovation and company business improvement.

References

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  • Bahemia, H., & Roehrich, J. K. (2023). Governing open innovation projects: The relationship between the use of trust and legal bonds. Industrial Marketing Management, 110, 17-30. https://doi.org/10.1016/j.indmarman.2023.02.008
  • Bashir, M., Alfalih, A., & Pradhan, S. (2023). Managerial ties, business model innovation & SME performance: Moderating role of environmental turbulence. Journal of Innovation & Knowledge, 8(1), 100329. https://doi.org/10.1016/j.jik.2023.100329
  • Battisti, E., Alfiero, S., Quaglia, R., & Yahiaoui, D. (2022). Financial performance and global start-ups: the impact of knowledge management practices. Journal of International Management, 28(4), 100938. https://doi.org/10.1016/j.intman.2022.100938
  • Bany Mohammad, A., Al-Okaily, M., Al-Majali, M., & Masa’deh, R. E. (2022). Business intelligence and analytics (BIA) usage in the banking industry sector: An application of the TOE framework. Journal of Open Innovation: Technology, Market, and Complexity, 8(4), 189. https://doi.org/10.3390/joitmc8040189
  • Bigliardi, B., Dolci, V., Filippelli, S., Petroni, A., Pini, B., & Tagliente, L. (2023). The adoption of open innovation in manufacturing: a review. Procedia Computer Science, 217, 1765-1774. https://doi.org/10.1016/j.procs.2022.12.376
  • Binzafrah, F., & Taleedi, F. (2022). The effect of business intelligence practices on job satisfaction in the Saudi Electricity Company in the Asir Region. Journal of Money and Business, (ahead-of-print). https://doi.org/10.1108/JMB-03-2022-0011
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  • Caseiro, N., & Coelho, A. (2019). The influence of Business Intelligence capacity, network learning and innovativeness on startups performance. Journal of Innovation & Knowledge, 4(3), 139-145. https://doi.org/10.1016/j.jik.2018.03.009
  • Chang, X., & Li, J. (2019). Business performance prediction in location-based social commerce. Expert Systems with Applications, 126, 112-123. https://doi.org/10.1016/j.eswa.2019.01.086
  • Cheah, S. L. Y., Ho, Y. P., & Li, S. (2021). Search strategy, innovation and financial performance of firms in process industries. Technovation, 105, 102257. https://doi.org/10.1016/j.technovation.2021.102257
  • Chen, Y., & Lin, Z. (2021). Business intelligence capabilities and firm performance: A study in China. International Journal of Information Management, 57, 102232. https://doi.org/10.1016/j.ijinfomgt.2020.102232
  • Chen, Y., & Lin, ZH. (2019). Business Intelligence Capabilities and Firm Performance: A Study in China. International Journal of Information Management volume 57 on page 102232. https://doi.org/10.1016/j.ijinfomgt.2020.102232
  • Choi, J., Yoon, J., Chung, J., Coh, B. Y., & Lee, J. M. (2020). Social media analytics and business intelligence research: A systematic review. Information Processing & Management, 57(6), Article 102279. https://doi.org/10.1016/j.ipm.2020.102279
  • Da Silva Meireles, F. R., Azevedo, A. C., & Boaventura, J. M. G. (2022). Open innovation and collaboration: A systematic literature review. Journal of Engineering and Technology Management, 65, 101702. https://doi.org/10.1016/j.jengtecman.2022.101702
  • Drucker, P. F. (2002). The discipline of innovation. Harvard business review, 80(8), 95-102. https://hbr.org/2002/08/the-discipline-of-innovation
  • Duque, J., Godinho, A., & Vasconcelos, J. (2022). Knowledge data extraction for business intelligence: A design science research approach. Procedia Computer Science, 204, 131-139. https://doi.org/10.1016/j.procs.2022.08.016
  • Eidizadeh, R., Salehzadeh, R., & Chitsaz Esfahani, A. (2017). Analysing the role of business intelligence, knowledge sharing and organizational innovation on gaining competitive advantage. Journal of Workplace Learning, 29(4), 250-267. https://doi.org/10.1108/JWL-07-2016-0070
  • Gaardboe, R., Nyvang, T., & Sandalgaard, N. (2017). Business Intelligence Success applied to Healthcare Information Systems. Procedia Computer Science, 121, 483–490. https://doi.org/10.1016/j.procs.2017.11.065
  • Gassmann, O., Enkel, E., & Chesbrough, H. (2010). The future of open innovation. R&D Management, 40(3), 213-221. https://doi.org/10.1111/j.1467-9310.2010.00605.x
  • Gök, O., & Peker, S. (2017). Understanding the links among innovation performance, market performance and financial performance. Review of managerial science, 11, 605-631. https://doi.org/10.1007/s11846-016-0198-8
  • Harahap, I., Septiani, I., & Endri, E. (2020). Effect of financial performance on firms’ value of cable companies in Indonesia. Accounting, 6(6), 1103-1110. https://doi.org/10.5267/j.ac.2020.7.008
  • Huang, Z. X., Savita, K. S., Dan-yi, L., & Omar, A. H. (2022). The impact of business intelligence on the marketing with emphasis on cooperative learning: Case-study on the insurance companies. Information Processing & Management, 59(2), 102824. https://doi.org/10.1016/j.ipm.2021.102824
  • Huang, Z. X., Savita, K. S., & Zhong-jie, J. (2022). The Business Intelligence impact on the financial performance of start-ups. Information Processing & Management, 59(1), 102761. https://doi.org/10.1016/j.ipm.2021.102761
  • Huizingh, E. K. (2011). Open innovation: State of the art and future perspectives. Technovation, 31(1), 2-9. https://doi.org/10.1016/j.technovation.2010.10.002
  • Kanzari, A., Rasmussen, J., Nehler, H., & Ingelsson, F. (2022). How financial performance is addressed in light of the transition to circular business models - A systematic literature review. Journal of Cleaner Production, 376, 134134. https://doi.org/10.1016/j.jclepro.2022.134134
  • Lazzarotti, V., Manzini, R., & Pellegrini, L. (2010). Open innovation models adopted in practice: an extensive study in Italy. Measuring business excellence. https://doi.org/10.1108/13683041011093721
  • Liu, H., Zhang, R., Zhou, L., & Li, A. (2023). Evaluating the financial performance of companies from the perspective of fund procurement and application: New strategy cross efficiency network data envelopment analysis models. Energy, 269, 126739. https://doi.org/10.1016/j.energy.2023.126739
  • Liu, Z., Shi, Y., & Yang, B. (2022). Open innovation in times of crisis: An overview of the healthcare sector in response to the COVID-19 Pandemic. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 21. https://doi.org/10.3390/joitmc8010021
  • Lu, Q., & Chesbrough, H. (2022). Measuring open innovation practices through topic modelling: Revisiting their impact on firm financial performance. Technovation, 114, 102434. https://doi.org/10.1016/j.technovation.2021.102434
  • Manurung, E., Effrida, E., & Gondowonto, A. J. (2019). Effect of financial performance, good corporate governance and corporate size on corporate value in food and beverages. International Journal of Economics and Financial Issues, 9(6), 100. https://doi.org/10.32479/ijefi.8828
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There are 66 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Articles
Authors

Mohsen Ejramı This is me 0000-0002-1651-9830

Nader Salehı 0000-0001-5424-1801

Publication Date June 30, 2023
Published in Issue Year 2023 Volume: 10 Issue: 2

Cite

APA Ejramı, M., & Salehı, N. (2023). BUSINESS INTELLIGENCE ON FIRM’S PERFORMANCE: THE MEDIATION EFFECTS OF OPEN INNOVATION AND FINANCIAL PERFORMANCE. Research Journal of Business and Management, 10(2), 38-50. https://doi.org/10.17261/Pressacademia.2023.1734
AMA Ejramı M, Salehı N. BUSINESS INTELLIGENCE ON FIRM’S PERFORMANCE: THE MEDIATION EFFECTS OF OPEN INNOVATION AND FINANCIAL PERFORMANCE. RJBM. June 2023;10(2):38-50. doi:10.17261/Pressacademia.2023.1734
Chicago Ejramı, Mohsen, and Nader Salehı. “BUSINESS INTELLIGENCE ON FIRM’S PERFORMANCE: THE MEDIATION EFFECTS OF OPEN INNOVATION AND FINANCIAL PERFORMANCE”. Research Journal of Business and Management 10, no. 2 (June 2023): 38-50. https://doi.org/10.17261/Pressacademia.2023.1734.
EndNote Ejramı M, Salehı N (June 1, 2023) BUSINESS INTELLIGENCE ON FIRM’S PERFORMANCE: THE MEDIATION EFFECTS OF OPEN INNOVATION AND FINANCIAL PERFORMANCE. Research Journal of Business and Management 10 2 38–50.
IEEE M. Ejramı and N. Salehı, “BUSINESS INTELLIGENCE ON FIRM’S PERFORMANCE: THE MEDIATION EFFECTS OF OPEN INNOVATION AND FINANCIAL PERFORMANCE”, RJBM, vol. 10, no. 2, pp. 38–50, 2023, doi: 10.17261/Pressacademia.2023.1734.
ISNAD Ejramı, Mohsen - Salehı, Nader. “BUSINESS INTELLIGENCE ON FIRM’S PERFORMANCE: THE MEDIATION EFFECTS OF OPEN INNOVATION AND FINANCIAL PERFORMANCE”. Research Journal of Business and Management 10/2 (June 2023), 38-50. https://doi.org/10.17261/Pressacademia.2023.1734.
JAMA Ejramı M, Salehı N. BUSINESS INTELLIGENCE ON FIRM’S PERFORMANCE: THE MEDIATION EFFECTS OF OPEN INNOVATION AND FINANCIAL PERFORMANCE. RJBM. 2023;10:38–50.
MLA Ejramı, Mohsen and Nader Salehı. “BUSINESS INTELLIGENCE ON FIRM’S PERFORMANCE: THE MEDIATION EFFECTS OF OPEN INNOVATION AND FINANCIAL PERFORMANCE”. Research Journal of Business and Management, vol. 10, no. 2, 2023, pp. 38-50, doi:10.17261/Pressacademia.2023.1734.
Vancouver Ejramı M, Salehı N. BUSINESS INTELLIGENCE ON FIRM’S PERFORMANCE: THE MEDIATION EFFECTS OF OPEN INNOVATION AND FINANCIAL PERFORMANCE. RJBM. 2023;10(2):38-50.

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