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• Abhari, K., & McGuckin, S. (2023). Limiting factors of open innovation organizations: A case of social product development and research agenda. Technovation, 119, 102526. https://doi.org/10.1016/j.technovation.2022.102526
• Ali, F. H., Ali, M., Malik, S. Z., Hamza, M. A., & Ali, H. F. (2020). Managers’ open innovation and business performance in SMEs: a moderated mediation model of job crafting and gender. Journal of Open Innovation: Technology, Market, and Complexity, 6(3), 89. https://doi.org/10.3390/joitmc6030089
• 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
• Božič, K., & Dimovski, V. (2019). Business intelligence and analytics for value creation: The role of absorptive capacity. International journal of information management, 46, 93-103. https://doi.org/10.1016/j.ijinfomgt.2018.11.020
• 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
• Menne, F., Surya, B., Yusuf, M., Suriani, S., Ruslan, M., & Iskandar, I. (2022). Optimizing the Financial Performance of SMEs Based on Sharia Economy: Perspective of Economic Business Sustainability and Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 18. https://doi.org/10.3390/joitmc8010018
• Moradi, E., Jafari, S. M., Doorbash, Z. M., & Mirzaei, A. (2021). Impact of organizational inertia on business model innovation, open innovation and corporate performance. Asia Pacific Management Review, 26(4), 171-179. https://doi.org/10.1016/j.apmrv.2021.01.003
• Moro, S., Cortez, P., & Rita, P. (2015). Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation. Expert Systems with Applications, 42(3), 1314-1324. https://doi.org/10.1016/j.eswa.2014.09.024
• Mouzas, S., & Bauer, F. (2022). Rethinking business performance in global value chains. Journal of Business Research, 144, 679-689. https://doi.org/10.1016/j.jbusres.2022.02.012
• Mushtaq, R., Gull, A. A., Shahab, Y., & Derouiche, I. (2022). Do financial performance indicators predict 10-K text sentiments? An application of artificial intelligence. Research in International Business and Finance, 101679. https://doi.org/10.1016/j.ribaf.2022.101679
• Nafasati, F., & Hilal, M. (2021). The effect of financial performance on firm value with corporate social responsibility as moderated variables. Economics and Business Solutions Journal, 5(1), 1-12. http://dx.doi.org/10.26623/ebsj.v5i1.3327
• Narteh, B. (2018). Brand equity and financial performance: The moderating role of brand likeability. Marketing Intelligence & Planning, 36(3), 381-395. https://doi.org/10.1108/MIP-05-2017-0098
• Nurdin, A. A., Salmi, G. N., Sentosa, K., Wijayanti, A. R., & Prasetya, A. (2023). Utilization of Business Intelligence in Sales Information Systems. Journal of Information System Exploration and Research, 1(1), 39-48. https://doi.org/10.52465/joiser.v1i1.101
• Ogink, R. H., Goossen, M. C., Romme, A. G. L., & Akkermans, H. (2022). Mechanisms in open innovation: A review and synthesis of the literature. Technovation, 102621. https://doi.org/10.1016/j.technovation.2022.102621
• Olszak, C. M. (2022). Business intelligence systems for innovative development of organizations. Procedia Computer Science, 207, 1754-1762. https://doi.org/10.1016/j.procs.2022.09.233
• Orzan, M. C., Burlacu, S., Florescu, M. S., Orzan, O. A., & Macovei, O. I. (2020). The effects of online marketing on financial performance in the textile industry. Industria Textila, 71(3), 288-293. https://doi.org/10.35530/IT.071.03.1826
• Park, G., & Song, M. (2020). Predicting performances in business processes using deep neural networks. Decision Support Systems, 129, 113191. https://doi.org/10.1016/j.dss.2019.113191
• Peters, M. D., Wieder, B., Sutton, S. G., & Wakefield, J. (2016). Business intelligence systems use in performance measurement capabilities: Implications for enhanced competitive advantage. International Journal of Accounting Information Systems, 21, 1-17. https://doi.org/10.1016/j.accinf.2016.03.001
• Ram, J., Zhang, C., & Koronios, A. (2016). The implications of big data analytics on business intelligence: A qualitative study in China. Procedia Computer Science, 87, 221-226. https://doi.org/10.1016/j.procs.2016.05.152
• Rao, P. M., & Vinod, H. D. (2023). Economic and financial performance of Indian IT services export firms. Telecommunications Policy, 102507. https://doi.org/10.1016/j.telpol.2023.102507
• Richards, G., Yeoh, W., Chong, A. Y. L., & Popovič, A. (2019). Business intelligence effectiveness and corporate performance management: an empirical analysis. Journal of Computer Information Systems, 59(2), 188-196. https://doi.org/10.1080/08874417.2017.1334244
• Salehi, N. (2022). How to properly apply new external knowledge: the waterfall model of absorptive capacity and innovation. Journal on Innovation and Sustainability RISUS, 13(2), 73-83. https://doi.org/10.23925/2179-3565.2022v13i2p73-83
• Salehi, N., & Asrar, M. M. The effect of open innovation mindset on absorptive capacity: The mediation role of entrepreneurial alertness. Journal of Management Marketing and Logistics, 9(4), 147-155. https://dergipark.org.tr/en/pub/jmml/issue/75138/1232281
• Seiler, A., Papanagnou, C., & Scarf, P. (2020). On the relationship between financial performance and position of businesses in supply chain networks. International Journal of Production Economics, 227, 107690. https://doi.org/10.1016/j.ijpe.2020.107690
• Shanak, H. S. H., & Abu-Alhaija, A. S. (2022). Does market performance mediates the nexus between production performance and financial performance in manufacturing companies?. Journal of Islamic Marketing, (ahead-of-print). https://doi.org/10.1108/jima-11-2021-0370
• Suša Vugec, D., Bosilj Vukšić, V., Pejić Bach, M., Jaklič, J., & Indihar Štemberger, M. (2020). Business intelligence and organizational performance: The role of alignment with business process management. Business process management journal, 26(6), 1709-1730. https://doi.org/10.1108/BPMJ-08-2019-0342
• Szromek, A. R., Kruczek, Z., Walas, B., & Polok, G. (2023). The method and scope of open innovation exchange in tourist destinations–Analysis of the opinions of tourism experts from Prague and Cracow. Journal of Open Innovation: Technology, Market, and Complexity, 9(1), 100005. https://doi.org/10.1016/j.joitmc.2023.02.002
• Thoumrungroje, A., & Racela, O. C. (2022). Innovation and Performance Implications of Customer-Orientation across Different Business Strategy Types. Journal of Open Innovation: Technology, Market, and Complexity, 8(4), 178. https://doi.org/10.3390/joitmc8040178
• Toroslu, A., Herrmann, A. M., Chappin, M. M., Schemmann, B., & Castaldi, C. (2023). Open innovation in nascent ventures: Does openness influence the speed of reaching critical milestones?. Technovation, 124, 102732. https://doi.org/10.1016/j.technovation.2023.102732
• Trzeciak, M., Sienkiewicz, Ł. D., & Bukłaha, E. (2022). Enablers of Open Innovation in Software Development Micro-Organization. Journal of Open Innovation: Technology, Market, and Complexity, 8(4), 174. https://doi.org/10.3390/joitmc8040174
• Tseng, F. M., Liang, C. W., & Nguyen, N. B. (2023). Blockchain technology adoption and business performance in large enterprises: A comparison of the United States and China. Technology in Society, 102230. https://doi.org/10.1016/j.techsoc.2023.102230
• Türegün, N. (2022). Financial performance evaluation by multi-criteria decision-making techniques. Heliyon, 8(5), e09361. https://doi.org/10.1016/j.heliyon.2022.e09361
• Wang, J., Omar, A. H., Alotaibi, F. M., Daradkeh, Y. I., & Althubiti, S. A. (2022). Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage. Information Processing & Management, 59(6), 103075. https://doi.org/10.1016/j.ipm.2022.103075
• Wu, Y., & Huang, S. (2022). The effects of digital finance and financial constraint on financial performance: Firm-level evidence from China’s new energy enterprises. Energy Economics, 112, 106158. https://doi.org/10.1016/j.eneco.2022.106158
• Xu, Y., Li, X., bin Mustakim, F., Alotaibi, F. M., & Abdullah, N. N. (2022). Investigating the business intelligence capabilities’ and network learning effect on the data mining for start-up's function. Information Processing & Management, 59(5), 103055. https://doi.org/10.1016/j.ipm.2022.103055
• Yang, M., Sulaiman, R., Yin, Y., Mallamaci, V., & Alrabaiah, H. (2022). The effect of business intelligence, organizational learning and innovation on the financial performance of innovative companies located in Science Park. Information Processing & Management, 59(2), 102852. https://doi.org/10.1016/j.ipm.2021.102852
• Zamecnik, R., & Rajnoha, R. (2015). Strategic business performance management on the base of controlling and managerial information support. Procedia Economics and Finance, 26, 769-776. https://doi.org/10.1016/s2212-5671(15)00843-6
• Zhang, L., Qi, Z., & Meng, F. (2022). A review on the construction of business intelligence system based on unstructured image data. Procedia Computer Science, 199, 392-398. https://doi.org/10.1016/j.procs.2022.01.048