- ساسان، مهدی،. مهرنوش، بخشنده، قاسم (1401). نقش سیستم‌های هوشمند کسب‌وکار در بهبود عملکرد سازمان: رویکرد فراتحلیل، مطالعات مدیریت کسب‌وکار هوشمند 10 (40)، 42-4 doi:22054/IMS.2021.56437.1845
- محسنی، سیده آرمینا،. خدیور، آمنه،. عباسی، فاطمه (1401). تحلیل احساسات نظرات کاربران تریپادوایزر برای رستوران‌های ایران با رویکرد یادگیری عمیق، مطالعات مدیریت کسب‌وکار هوشمند، doi:10.22054/IMS.2022.63437.2051
- Alzghoul, A., Khaddam, A. A., Abousweilem, F., Irtaimeh, H. J., & Alshaar, Q. (2022). How business intelligence capability impacts decision-making speed, comprehensiveness, and firm performance. Information Development, 02666669221108438 https://doi.org/10.1177/0266666 9221108438
- Arunachalam, D., Kumar, N., & Kawalek, J. P. (2018). Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice. Transportation Research Part E: Logistics and Transportation Review, 114, 416-436. https://doi.org/10.1016/j.tre.2017.04.001
- Benitez, J., Castillo, A., Llorens, J., & Braojos, J. (2018). IT-enabled knowledge ambidexterity and innovation performance in small US firms: The moderator role of social media capability. Information & Management, 55(1),131-143. https://doi.org/10.1016/j.im.2017.09.004
- Benitez, G. B., Ayala, N. F., & Frank, A. G. (2020). Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation. International Journal of Production Economics, 228, 107735.https://doi.org/10.1016/j.ijpe.2020.107735
- Borah, P. S., Iqbal, S., & Akhtar, S. (2022). Linking social media usage and SME's sustainable performance: The role of digital leadership and innovation capabilities. Technology in Society, 68, 101900. https://doi.org/10.1016/j.techsoc.2022.101900.
- Božič, K., & Dimovski, V. (2019a). 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.
- Božič, K., & Dimovski, V. (2019b). Business intelligence and analytics use, innovation ambidexterity, and firm performance: A dynamic capabilities perspective. The Journal of Strategic Information Systems, 28 (4), 101578. https://doi.org/10.1016/j.jsis.2019.101578.
- 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.
- Chierici R., Mazzucchelli, A., Garcia-Perez A. and D. Vrontis (2019) Transforming big data into knowledge: the role of knowledge management practice, Management Decision 2019 Vol. 57 Issue 8, pages 1902-1922. https://doi.org/10.1108/MD-07-2018-0834.
- 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), 102279. https://doi.org/ 10.1016/j.ipm.2020.102279
- DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19 (4), 9-30. https://doi.org/10 .1080/07421222.2003.11045748.
- Eggert, M., & Alberts, J. (2020). Frontiers of business intelligence and analytics 3. 0: a taxonomy-based literature review and research agenda. Business Research, 13 (2), 685-739. https://doi.org/10.1007/ s40685-020-00108-y.
- Elhoseny, M., Kabir Hassan, M., & Kumar Singh, A. (2020). Special issue on cognitive big data analytics for business intelligence applications: Towards performance improvement. https://doi.org/10.1016/j. ijinfomgt.2019.08.004.
- Ghofrani, F., He, Q., Goverde, R. M., & Liu, X. (2018). Recent applications of big data analytics in railway transportation systems: A survey. Transportation Research Part C: Emerging Technologies, 90, 226-246. https://doi.org/10.1016/j.trc.2018.03.010.
- Gioti, H., Ponis, S. T., & Panayiotou, N. (2018). Social business intelligence: Review and research directions. Journal of Intelligence Studies in Business, 8 (2). https://doi.org/10.37380/jisib.v8i2.320.
- Hameed, I., Haq, M. A., Khan, N., & Zainab, B. (2022). Social media usage and academic performance from a cognitive loading perspective. On the Hori https://doi.org/10.1108/OTH-04-2021-0054.
- Handayani, S. F., & Mahendrawathi, E. (2019). Antecedent and business process management non-technical capabilities in social media implementation for micro, small and medium enterprises: A conceptual model. Procedia computer science, 161, 1114-1121. https://doi.org/10.1016/j.procs.2019.11.223.
- Hassani, A., & Mosconi, E. (2022). Social media analytics, competitive intelligence, and dynamic capabilities in manufacturing SMEs. Technological Forecasting and Social Change, 175, 121416. https://doi.org/10.1016/j.techfore.2021.121416.
- Işık, Ö., Jones, M. C., & Sidorova, A. (2013). Business intelligence success: The roles of BI capabilities and decision environments. Information & Management, 50 (1), 13-23. https://doi.org/10.1016/j.im.2012.12.001.
- Kane, G. C., Alavi, M., Labianca, G., & Borgatti, S. P. (2014). What’s different about social media networks? A framework and research MIS quarterly, 38(1), 275-304. DOI:10.25300/MISQ/2014/38.1.13
- Kargaran, S., Pour, M. J., & Moeini, H. (2017). Successful customer knowledge management implementation through social media capabilities. VINE Journal of Information and Knowledge Management Systems. https://doi.org/10.1108/VJIKMS-11-2016-0066
- Karim, A., Khan, N., & Khan, G. F. (2016). A Social Media Analytics Capabilitiy Framework For Firm’s Competitive Advantage.
- Klewitz, J., Zeyen, A., & Hansen, E. G. (2012). Intermediaries driving eco‐innovation in SMEs: a qualitative investigation. European Journal of Innovation Management, 15(4), 442-467. https://doi.org/10.1108/14601061211272376
- Lanza-Cruz, I., Berlanga, R., & Aramburu, M. J. (2018). Modeling Analytical Streams for Social Business Intelligence. Paper presented at the Informatics. https://doi.org/10.3390/informatics5030033.
- Liang, T. -P., & Liu, Y. -H. (2018). Research landscape of business intelligence and big data analytics: A bibliometrics study. Expert Systems with Applications, 111, 2-10. https://doi.org/10.1016/j.eswa.2018.05.018.
- Liu, R., Gupta, S., & Patel, P. (2021). The application of the principles of responsible AI on social media marketing for digital health. Information Systems Frontiers, 1-25. https://doi.org/10.1007/s10796-021-10191-z.
- Majumdar, A., & Bose, I. (2019). Do tweets create value? A multi-period analysis of Twitter use and content of tweets for manufacturing firms. International Journal of Production Economics, 216, 1-11. https://doi.org/10.1016/j.ijpe.2019.04.008.
- Marchand, A., Hennig-Thurau, T., & Flemming, J. (2021). Social media resources and capabilities as strategic determinants of social media performance. International Journal of Research in Marketing, 38 (3), 549-571. https://doi.org/10.1016/j.ijresmar.2020.09.011.
- McBride, M., Carter, L., & Phillips, B. (2020). Integrating the theory of planned behavior and behavioral attitudes to explore texting among young drivers in the US. International journal of information management, 50, 365-374. https://doi.org/10.1016/j.ijinfomgt.2019.09.003.
- Mention, A. -L., Barlatier, P. -J., & Josserand, E. (2019). Using social media to leverage and develop dynamic capabilities for innovation. Technological Forecasting and Social Change, 144, 242-250. https://doi.org/10.1016/j.techfore.2019.03.003.
- Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management, 57 (2), 103169. https://doi.org/10.1016/j.im.2019.05.004.
- Moravej, S., Hassanzadeh, A., Elahi, S., & Sohrabi, B. (2022). Assessment of the Status of Maturity Models Presented in the Field of Intelligence and Business Analysis: A Systematic Review of Research Literature. New Marketing Research Journal, 11 (4), 85-106. doi.org/10.22108/nmrj.2021.127136.2366.
- Moreno, V., Cavazotte, F., & de Souza Carvalho, W. (2020). Business intelligence and analytics as a driver of dynamic and operational capabilities in times of intense macroeconomic turbulence. The Journal of High Technology Management Research, 31 (2), 100389. https://doi.org/10.1016/j.hitech.2020.100389.
- Negro, A. R., & Mesia, R. (2020). The Business Intelligence and Its Influence on Decision Making. Journal of Applied Business & Economics, 22 (2).
- Olszak, C. M., & Zurada, J. (2020). Big data in capturing business value. Information systems management, 37 (3), 240-254. https://doi.org/10.1080/10580530.2020.1696551.
- Pourkhani, A., Abdipour, K., Baher, B., & Moslehpour, M. (2019). The impact of social media in business growth and performance: A scientometrics analysis. International Journal of Data and Network Science, 3 (3), 223-244. http://dx.doi.org/10.5267/j.ijdns.2019.2.003.
- Rice, R. E. (1992). Task analyzability, use of new media, and effectiveness: A multi-site exploration of media richness. Organization science, 3(4), 475-500. https://doi.org/10.1287/orsc.3.4.475.
- Ramakrishnan, T., Khuntia, J., Kathuria, A., & Saldanha, T. (2016). Business intelligence capabilities and effectiveness: An integrative model. Paper presented at the 2016 49th Hawaii International Conference on System Sciences (HICSS). https://doi.org/10.1109/HICSS.2016.623.
- Ramakrishnan, T., Khuntia, J., Kathuria, A., & Saldanha, T. J. (2018). Business intelligence capabilities. Analytics and Data Science (pp. 15-27): Springer. doi 10.1007/978-3-319-58097-5_3.
- Schieder, C., & Gluchowski, P. (2011). Towards a consolidated research model for understanding business intelligence success.
- Sestino, A., & De Mauro, A. (2022). Leveraging artificial intelligence in business: Implications, applications and methods. Technology Analysis & Strategic Management, 34 (1), 16-29.
- Shamim, S., Zeng, J., Shariq, S. M., & Khan, Z. (2019). Role of big data management in enhancing big data decision-making capability and quality among Chinese firms: A dynamic capabilities view. Information & Management, 56(6),103135. org/10.1016/j.im.2018.12.003
- Takagi, H. "Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation," in Proceedings of the IEEE, 89, no. 9, pp. 1275-1296, Sept. 2001, doi: 10.1109/5.949485.
- Torres, R., Sidorova, A., & Jones, M. C. (2018). Enabling firm performance through business intelligence and analytics: A dynamic capabilities perspective. Information & Management, 55 (7), 822-839. org/10.1016/j.im.2018.03.010
- Trainor, K. J., Andzulis, J. M., Rapp, A., & Agnihotri, R. (2014). Social media technology usage and customer relationship performance: A capabilities-based examination of social CRM. Journal of business research, 67(6), 1201-1208. org/10.1016/j.jbusres.2013.05.002
- Tunowski, R. (2020). Sustainability of commercial banks supported by business intelligence system. Sustainability, 12 (11), 4754. https://doi.org/10.3390/su12114754
- Wang, W. Y., Pauleen, D. J., & Zhang, T. (2016). How social media applications affect B2B communication and improve business performance in SMEs. Industrial Marketing Management, 54, 4-14. https://doi.org/10.1016/j.indmarman.2015.12.004
- Wang, Y., Deng, Q., Rod, M., & Ji, S. (2021). A thematic exploration of social media analytics in marketing research and an agenda for future inquiry. Journal of Strategic Marketing, 29 (6), 471-491. https://doi.org/10.1080/0965254X.2020.1755351
- Wang, Y., Rod, M., Deng, Q., & Ji, S. (2020). Exploiting business networks in the age of social media: the use and integration of social media analytics in B2B marketing. Journal of Business & Industrial Marketing. https://doi.org/10.1108/JBIM-05-2019-0173
- Wieneke, A., & Lehrer, C. (2016). Generating and exploiting customer insights from social media data. Electronic Markets, 26 (3), 245-268. doi.org/10.1007/s12525-016-0226-1
- 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
- Yadav, A., & Iqbal, B. A. (2022). Social Media Analytics in Digital Marketing. In Innovations and Social Media Analytics in a Digital Society (pp. 153-169): CRC Press. DOI: 10.1201/9781003189848
- 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
- Ye, Y., Yu, Q., Zheng, Y., & Zheng, Y. (2022). Investigating the effect of social media application on firm capabilities and performance: The perspective of dynamic capability view. Journal of Business Research, 139, 510-519. doi.org/10.1016/j.jbusres.2021.10.008
- Yeoh, W., Koronios, A., & Gao, J. (2006). Critical success factors for the implementation of business intelligence system in engineering asset management organisations. In Engineering Asset Management (pp. 344-351): Springer.
- Zhang, F., & Zhu, L. (2022). Promoting business model innovation through social media strategic capability: A moderated mediation model. European Management Journal, 40 (1), 56-66. doi.org/10.1016/j.emj.2021.02.003
- Zhang, J. Z., Srivastava, P. R., Sharma, D., & Eachempati, P. (2021). Big data analytics and machine learning: A retrospective overview and bibliometric analysis. Expert Systems with Applications, 184, 115561. https://doi.org/10.1016/j.eswa.2021.115561
- Zhang, S., Gosselt, J. F., & de Jong, M. D. (2020). How large information technology companies use Twitter: Arrangement of corporate accounts and characteristics of tweets. Journal of business and technical communication, 34 (4), 364-392. doi.org/10.1177/1050651920932191
- Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational research methods, 18 (3), 429-472. https://doi.org/10.1177/1094428114562629.
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