BUSINESS INTELLIGENCE ON FIRM’S PERFORMANCE: THE MEDIATION EFFECTS OF OPEN INNOVATION AND FINANCIAL PERFORMANCE

Mohsen Ejramı; Nader Salehı

doi:10.17261/Pressacademia.2023.1734

Research Article

Year 2023, , 38 - 50, 30.06.2023

Mohsen Ejramı Nader Salehı

https://doi.org/10.17261/Pressacademia.2023.1734

Abstract

References

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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
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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
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BUSINESS INTELLIGENCE ON FIRM’S PERFORMANCE: THE MEDIATION EFFECTS OF OPEN INNOVATION AND FINANCIAL PERFORMANCE

Year 2023, , 38 - 50, 30.06.2023

Mohsen Ejramı Nader Salehı

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.

Keywords

Business intelligence, firm performance, financial performance, open innovation

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
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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
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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
Mariani, M., Baggio, R., Fuchs, M., & Höepken, W. (2018). Business intelligence and big data in hospitality and tourism: a systematic literature review. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/ijchm-07-2017-0461
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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

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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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