Document Type : Research Paper

Authors

1 PhD student in Information Technology Management, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran

2 Professor, Faculty of Management and Accounting, Department of Industrial Management and Information Technology, Shahid Beheshti University, Tehran, Iran

3 Associate Prof., Faculty of Management and Accounting, Department of Industrial Management and Information Technology, Shahid Beheshti University, Tehran, Iran

Abstract

 
The evolution of information technology, artificial intelligence, and large volumes of data in web2, led to the formation of a new approach from the convergence of two scientific fields of business intelligence (BI) and social media analysis (SMA), which is called social business intelligence (SBI) with some researchers. Growing the number of studies in BI and SMA and the explosion of information, required coherence, integration and summary to knowledge extraction. The purpose of this paper is to recognize the capabilities that are the result of the two scientific field convergence. The bibliometric methods have been used to analyze publications tile 2022 and map the topics trend, historical graph, co-occurrence network and knowledge map of social business intelligence capabilities. The results indicate that the nature of business intelligence studies changes toward the analysis of big social media data and integration of analytical and managerial capabilities in BI with the power of marketing, communication and networking in SM. Also, five clusters of social marketing capability, data analytic capability, knowledge capability, communication capability, and transformational capability have been identified for SBI. About the role of SBI in empowering organizations in the digital era, especially in business related to marketing and innovation goals, it is recommended to equip organizations with this technology and its capabilities.

Introduction

The evolution of information technology, artificial intelligence, and large volumes of data in web2, led to the formation of a new approach from the convergence of two scientific fields of business intelligence (BI) and social media analysis (SMA), which is called social business intelligence (SBI) with some researchers. Growing the number of studies in BI and SMA and the explosion of information, required coherence, integration and summary to knowledge extraction. One of the main topics of interest for business intelligence researchers is big social media data analysis, which brings many capabilities for organizations in the information age. This research has been used the bibliometric analysis method to recognize the capabilities of social business intelligence. Therefore, the social academic network of social business intelligence capabilities has been analyzed in order to gain knowledge about the research field, main topics, evolution path of concepts and a comprehensive view in the expansion of the current limited knowledges.
Research Question(s)
RQ: What are the capabilities of social business intelligence (SBI)?
To answer this question, the following points are followed:
1) How are the growth and development of studies in social business intelligence capabilities?
2) In what scientific groups have these abilities been used?
3) What are the most productive countries, publications, and most cited articles?
4) Who are the influential authors in the research field?
5) What is the evolution of citations and time trends of concepts in social business intelligence capabilities?
6) What are the most important concepts in social business intelligence capabilities?

Literature Review

Although business intelligence has developed and grown over the years, the concept of social media-based business intelligence has gained a lot of attention in recent years. First, Studies focus on business intelligence capabilities and dynamic capabilities and the resource base view has been discussed a lot. In some studies, the organizational, technological, and innovational capabilities of business intelligence and the impact of the environment on the success of business intelligence have been explained (Işık et al., 2013), (Ramakrishnan et al., 2016), in group of studies, the positive relationship between dynamic capabilities, managerial capabilities in business intelligence and analysis (BI&A) has been investigated (Torres et al., 2018), in other group of studies, innovative infrastructure capabilities, process capabilities have been addressed to help decision making (Ramakrishnan et al., 2018).
In recent years, the nature of studies in business intelligence capabilities has changed towards emerging technologies such as big data analysis, digital businesses, and social media big data. This group of studies focuses on the ability of social media analysis, the impact of social media capabilities in achieving knowledge management; sharing information, communication, facilitating business marketing, achieving competitive intelligence, and the strategic capability of social media in the organization's achievement of innovation. Various researchers have described the analytical aspect of SBI in knowledge extraction, decision making and marketing capabilities of social media base BI that can influence market intelligence, customer needs, and satisfaction (Ghofrani et al., 2018; Hameed et al., 2022; Pourkhani et al., 2019). Nevertheless, Social media data is recognized as the best source of data for business intelligence research (Choi et al., 2020; Tunowski, 2020) that can be used to achieve various goals such as data collection and perception, analytical results, and market goals. However, this research area is still in the early stages of development and needs more studies to mature.

Methodology

In this research, the five-step bibliographic analysis method (Zupic & Čater, 2015) has been developed to achieve the research objectives and extract knowledge about SBI capabilities. despite various studies on social media in business intelligence, there is little understanding of the synergy power of business intelligence and social media and SBI capabilities. thus, to achieve a comprehensive view of the convergence of two scientific fields and their capabilities, the bibliographic analysis has been used to extract the most cited articles, influential authors, most important publications, growth trends, and Thematic evolution. the co-occurrence network analysis of keywords has been used to extract topics' trends. to collect the required metadata, the Web of Science (WOS), the most comprehensive scientific database has been used, and approved by the Scientific Information Society (ISI). Also, the research chain explained by Chio (2020), related to business intelligence and social media analysis, has been used to extract and collect the required data and summarize part of the research literature.

Conclusion

The results of the research indicate that in line with the growth of studies in the convergence of the two fields of business intelligence and social media analysis, the upward growth of studies in the capabilities of business intelligence centered on social media analysis is also evident and the increase in the number of studies with the expansion of the use of social media in businesses and big data analysis. The most important clusters identified in the word co-occurrence network are the concepts of social marketing capability, data analysis capability, communication capability, knowledge capability, and strategic capability. In other words, Business intelligence based on social media analysis or social business intelligence includes both capabilities and positive points of using business intelligence inside social media analysis capabilities, in other words, business intelligence capabilities in strategic fields, management, and analysis, are combined with the ability of marketing, expansion of communications and networking in social media. As a result, social business intelligence improves company performance by using artificial intelligence algorithms and big social media data analysis.
Acknowledgments
have been very grateful for the spiritual support of Dr. Eslam Nazemi.
Keywords: Business Intelligence, social media, Social Business Intelligence, Bibliometrics, Capabilities.
 
 
 

Keywords

Main Subjects

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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
  21. 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
  22. Karim, A., Khan, N., & Khan, G. F. (2‌0‌1‌6‌). A Social Media Analytics Capabilitiy Framework For Firm’s Competitive Advantage.
  23. 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
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. Negro, A. R., & Mesia, R. (2‌0‌2‌0‌). The Business Intelligence and Its Influence on Decision Making. Journal of Applied Business & Economics, 2‌2‌ (2‌).
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. Schieder, C., & Gluchowski, P. (2‌0‌1‌1‌). Towards a consolidated research model for understanding business intelligence success.
  41. Sestino, A., & De Mauro, A. (2‌0‌2‌2‌). Leveraging artificial intelligence in business: Implications, applications and methods. Technology Analysis & Strategic Management, 3‌4‌ (1‌), 1‌6‌-2‌9‌.
  42. 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
  43. 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.
  44. 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
  45. 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
  46. Tunowski, R. (2‌0‌2‌0‌). Sustainability of commercial banks supported by business intelligence system. Sustainability, 1‌2‌ (1‌1‌), 4‌7‌5‌4‌. https://doi.org/1‌0‌.3‌3‌9‌0‌/su1‌2‌1‌1‌4‌7‌5‌4‌
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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.
  56. 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
  57. 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
  58. 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
  59. Zupic, I., & Čater, T. (2‌0‌1‌5‌). Bibliometric methods in management and organization. Organizational research methods, 1‌8‌ (3‌), 4‌2‌9‌-4‌7‌2‌. https://doi.org/1‌0‌.1‌1‌7‌7‌/1‌0‌9‌4‌4‌2‌8‌1‌1‌4‌5‌6‌2‌6‌2‌9‌
  60. Khadivar, A., Mohseni, S., Abbasi, F. (2‌0‌2‌2‌). Sentiment Analysis of Trip Advisor Comments for Iranian Restaurants With a Deep Learning Approach, Journal of Business Intelligence Management Studies, 1‌0‌ (4‌0‌), 1‌7‌-4‌1‌, 0‌8‌-8‌8‌ doi:1‌0‌.2‌2‌0‌5‌4‌/IMS.2‌0‌2‌2‌.6‌3‌4‌3‌7‌.2‌0‌5‌1‌, [In Persian].
  61. Sasan, M., & Bakhshandeh, G. (2‌0‌2‌2‌). The Role of Business Intelligent Systems in Improving Organizational Performance: A Meta-Analytic, Journal of Business Intelligence Management Studies, 1‌0‌ (4‌0‌), 1‌-1‌5‌, doi: 1‌0‌.2‌2‌0‌5‌4‌/IMS.2‌0‌2‌1‌.5‌6‌4‌3‌7‌.1‌8‌4‌5‌, [In Persian].