Relevance of big and thick social media data to businesses: A systematic review

Authors

  • Bubune Malik Heritage Christian University (HCU), Ghana Author https://orcid.org/0009-0008-7520-8005
  • Alexander Nyarko Yeboah Catholic University of Ghana (CUG), Ghana Author
  • Bright Gakpe University of Professional Studies, Accra (UPSA), Ghana Author

DOI:

https://doi.org/10.51867/AQSSR.3.1.23

Keywords:

Big Data, Business Strategy, Data-Driven Decision-Making, Social Media Analytics, Thick Data

Abstract

The rapid proliferation of social media has generated an immense volume of data, offering valuable insights for businesses across various sectors. This systematic review explores the roles and implications of big data, particularly social big data and thick data, in social media, highlighting their potential applications for enhancing business strategies and performance. The review synthesises findings from 148 scholarly articles, focusing on definitions, challenges, and opportunities associated with these data types. It identifies significant applications in areas such as business strategy, healthcare, hospitality, and telecommunications while also addressing gaps in under-represented fields. The analysis reveals a dominance of qualitative research approaches, with a growing trend toward mixed methods and quantitative studies post-2016. By combining big data’s breadth with the qualitative richness of thick data, businesses can achieve a comprehensive understanding of consumer behaviours, preferences, and values. This integration facilitates improved decision-making, competitive advantage, and customer satisfaction. The study concludes with recommendations for future research, emphasising the need for more quantitative studies and the exploration of applications in emerging domains like smart cities and tourism.

References

Abkenar, S. B., Kashani, M. H., Mahdipour, E., & Jameii, S. M. (2021). Big data analytics meets social media: A systematic review of techniques, open issues, and future directions. Telematics and Informatics, 57(1). https://doi.org/10.1016/j.tele.2020.101518

Acharjya, D. P., & Ahmed, K. (2016). A survey on big data analytics: Challenges, open research issues and tools. International Journal of Advanced Computer Science and Applications, 7(2), 511-518. https://doi.org/10.14569/IJACSA.2016.070267

Akter, S., & Wamba, S. F. (2016). Big data analytics in e-commerce: A systematic review and agenda for future research. Electronic Markets, 26(2), 173-194. https://doi.org/10.1007/s12525-016-0219-0

Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., & Childe, S. J. (2016). How to improve firm performance using big data analytics capability and business strategy alignment? International Journal of Production Economics, 182, 113-131.

https://doi.org/10.1016/j.ijpe.2016.08.018

Al Nuaimi, E., Al Neyadi, H., Mohamed, N., & Al-Jaroodi, J. (2015). Applications of big data to smart cities. Journal of Internet Services and Applications, 6(1), 25. https://doi.org/10.1186/s13174-015-0041-5

Allen, A. L. (2016). Protecting one's privacy in a big data economy. Harvard Law Review Forum, 130, 1-8.

Ang, Y. Y. (2019). Integrating big data and thick data to transform public service delivery. Michigan: IBM Center for the Business of Government.

Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., & Stuart, M. (2016). HR and analytics: Why HR is set to fail the big data challenge. Human Resource Management Journal, 26(1), 1-11. https://doi.org/10.1111/1748-8583.12090

Babu, M. S. P., & Sastry, S. H. (2014). Big data and predictive analytics in ERP systems for automating decision-making process. In Proceedings of the 2014 IEEE 5th International Conference on Software Engineering and Service Science (pp. 259-262). IEEE. https://doi.org/10.1109/ICSESS.2014.6933570

Banic, L., Mihanovic, A., & Brakus, M. (2013). Using big data and sentiment analysis in product evaluation. In Proceedings of the 2013 36th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) (pp. 1149-1154).

Barham, H. (2017). Achieving competitive advantage through big data: A literature review. Paper presented at the 2017 Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, USA.

https://doi.org/10.23919/PICMET.2017.8125459

Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health care: Using analytics to identify and manage high-risk and high-cost patients. Health Affairs, 33(7), 1123-1131. https://doi.org/10.1377/hlthaff.2014.0041

Bello-Orgaz, G., Jung, J. J., & Camacho, D. (2015). Social big data: Recent achievements and new challenges. Information Fusion, 28, 45-59. https://doi.org/10.1016/j.inffus.2015.08.005

Benjelloun, F.-Z., Ait Lahcen, A., & Belfkih, S. (2015). An overview of big data opportunities, applications and tools. In Intelligent Systems and Computer Vision (ISCV) (pp. 1-6). IEEE. https://doi.org/10.1109/ISACV.2015.7105553

Berente, N., Seidel, S., & Safadi, H. (2019). Research Commentary-Data-driven computationally intensive theory development. Information Systems Research, 30(1), 50-64. https://doi.org/10.1287/isre.2018.0774

Biswas, S., & Sen, J. (2017). A proposed architecture for big data driven supply chain analytics. IUP Journal of Supply Chain Management, 13(3), 7-34. https://doi.org/10.48550/arXiv.1705.04958

Bodislav, D. A. (2015). Transferring business intelligence and big data analysis from corporations to governments as a hybrid leading indicator. Theoretical and Applied Economics, 22(1), 257-264.

Bughin, J. (2016). Big data, big bang? Journal of Big Data, 3(1), 1-14. https://doi.org/10.1186/s40537-015-0014-3

Carr, S. (2020, November 23). Thick data and big data: Why you need both to make user-conscious decisions. UserTesting Blog. https://www.usertesting.com/blog/thick-data-vs-big-data

Casado, R., & Younas, M. (2015). Emerging trends and technologies in big data processing. Concurrency and Computation: Practice and Experience, 27(8), 2078-2091. https://doi.org/10.1002/cpe.3398

Chang, Y. C., Ku, C. H., & Chen, C. H. (2020). Using deep learning and visual analytics to explore hotel reviews and responses. Tourism Management, 80, 104129. https://doi.org/10.1016/j.tourman.2020.104129

Chatfield, A., Reddick, C., & Al-Zubaidi, W. (2015). Capability challenges in transforming government through open and big data: Tales of two cities. In Proceedings of the 36th International Conference on Information Systems (pp. 1-21). Fort Worth, Texas.

Chen, H. M., Schütz, R., Kazman, R., & Matthes, F. (2017). How Lufthansa capitalized on big data for business model renovation. MIS Quarterly Executive, 16(1), 4.

Chen, P. C. L., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on big data. Information Sciences, 275, 314-347. https://doi.org/10.1016/j.ins.2014.01.015

Chen, P. T., Lin, C. L., & Wu, W. N. (2020). Big data management in healthcare: Adoption challenges and implications. International Journal of Information Management, 53, 102078. https://doi.org/10.1016/j.ijinfomgt.2020.102078

Cobanoglu, C., Terrah, A., Hsu, M.-J., Corte, V. D., & Gaudio, G. D. (2022). A systematic review of big data: Research approaches and future prospects. Journal of Smart Tourism, 2(1), 21-31. https://doi.org/10.52255/smarttourism.2022.2.1.3

Côrte-Real, N., Oliveira, T., & Ruivo, P. (2017). Assessing business value of big data analytics in European firms. Journal of Business Research, 70, 379-390. https://doi.org/10.1016/j.jbusres.2016.08.011

Crawford, K., & Schultz, J. (2014). Big data and due process: Toward a framework to redress predictive privacy harms. Boston College Law Review, 55, 93.

Custers, B., & Uršič, H. (2016). Big data and data reuse: A taxonomy of data reuse for balancing big data benefits and personal data protection. International Data Privacy Law, 6(1), 4-15. https://doi.org/10.1093/idpl/ipv028

Davenport, T. H., & Dyché, J. (2013). Big data in big companies. International Institute for Analytics: Open Journal of Business and Management, 9(2). https://www.iqpc.com/media/7863/11710.pdf

Dekimpe, M. G. (2020). Retailing and retailing research in the age of big data analytics. International Journal of Research in Marketing, 37(1), 3-14. https://doi.org/10.1016/j.ijresmar.2019.09.001

Dubey, R., Gunasekaran, A., & Childe, S. J. (2019). Big data analytics capability in supply chain agility: The moderating effect of organizational flexibility. Management Decision, 57(8), 2092-2112. https://doi.org/10.1108/MD-01-2018-0119

Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., ... & Wang, Y. (2020). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59(1), 1-37. https://doi.org/10.1016/j.ijinfomgt.2020.102168

Elgendy, N., & Elragal, A. (2016). Big data analytics in support of the decision-making process. Procedia Computer Science, 100, 1071-1084. https://doi.org/10.1016/j.procs.2016.09.251

Fan, S., Lau, R. Y. K., & Zhao, J. L. (2015). Demystifying big data analytics for business intelligence through the lens of marketing mix. Big Data Research, 2(1), 28-32. https://doi.org/10.1016/j.bdr.2015.02.006

Flood, M. D., Jagadish, H. V., & Raschid, L. (2016). Big data challenges and opportunities in financial stability monitoring. Financial Stability Review, 20, 129-142.

Frizzo-Barker, J., Chow-White, P. A., Mozafari, M., & Ha, D. (2016). An empirical study of the rise of big data in business scholarship. International Journal of Information Management, 36(3), 403-413. https://doi.org/10.1016/j.ijinfomgt.2016.01.006

Fu, H. L., Manogaran, G., Wu, K., Cao, M., Jiang, S., & Yang, A. M. (2020). Intelligent decision-making of online shopping behaviour based on Internet of things. International Journal of Information Management, 50, 515-525. https://doi.org/10.1016/j.ijinfomgt.2019.03.010

Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007

Gao, J., Koronios, A., & Selle, S. (2015). Towards a process view on critical success factors in big data analytics projects. In Proceedings of the 21st Americas Conference on Information Systems. Association for Information Systems.

Geczy, P. (2014). Big data characteristics. Macrotheme Review, 3(6), 94-104.

Geertz, C. (2000). The interpretation of cultures. Basic Books.

Ghasemaghaei, M., & Calic, G. (2020). Assessing the impact of big data on firm innovation performance: Big data is not always better data. Journal of Business Research, 108, 147-162. https://doi.org/10.1016/j.jbusres.2019.09.062

Gillespie, T. (2020). Content moderation, AI, and the question of scale. Big Data & Society, 7(2). https://doi.org/10.1177/2053951720943234

Golbeck, J. (2014). Big social data predicting the future of you. Executive Talent Magazine, 5, 12-14.

Grover, V., Chiang, R. H. L., Liang, T. P., & Zhang, D. (2018). Creating strategic business value from big data analytics: A research framework. Journal of Management Information Systems, 35(2), 388-423. https://doi.org/10.1080/07421222.2018.1451951

Grover, V., Lindberg, A., Benbasat, I., & Lyytinen, K. (2020). The perils and promises of big data research in information systems. Journal of the Association for Information Systems, 21(2), 268-293. https://doi.org/10.17705/1jais.00601

Groves, P., Kayyali, B., Knott, D., & Kuiken, S. V. (2016). The 'big data' revolution in healthcare: Accelerating value and innovation. McKinsey & Company.

Gunasekaran, A., Yusuf, Y. Y., Adeleye, E. O., & Papadopoulos, T. (2018). Agile manufacturing practices: The role of big data and business analytics with multiple case studies. International Journal of Production Research, 56(1-2), 385-397.

https://doi.org/10.1080/00207543.2017.1395488

Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049-1064. https://doi.org/10.1016/j.im.2016.07.004

Gupta, R. (2014). Journey from data mining to Web Mining to Big Data. International Journal of Computer Trends and Technology, 10(1), 18-20. https://doi.org/10.14445/22312803/IJCTT-V10P104

Hadi, M. S., Lawey, A. Q., El-Gorashi, T. E., & Elmirghani, J. M. (2018). Big data analytics for wireless and wired network design: A survey. Computer Networks, 132, 180-199. https://doi.org/10.1016/j.comnet.2018.01.016

Hartmann, P. M., Zaki, M., Feldmann, N., & Neely, A. (2016). Capturing value from big data-A taxonomy of data-driven business models used by start-up firms. International Journal of Operations & Production Management, 36(10), 1382-1406.

https://doi.org/10.1108/IJOPM-02-2014-0098

Hashem, I. A. T., Chang, V., Anuar, N. B., Adewole, K., Yaqoob, I., Gani, A., Ahmed, E., & Chiroma, H. (2016). The role of big data in the smart city. International Journal of Information Management, 36(5), 748-758. https://doi.org/10.1016/j.ijinfomgt.2016.05.002

He, L., Xue, M., & Gu, B. (2020). Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications. Journal of Management Science and Engineering, 5(1), 1-22. https://doi.org/10.1016/j.jmse.2020.03.002

Honga, A., Baker, L., Curiel, R. P., Duminy, J., Busawala, B., Guan, C., & Ravindranath, D. (2022). Reconciling big data and thick data to advance the new urban science and smart city governance. Journal of Urban Affairs, 44(8), 1091-1115. https://doi.org/10.1080/07352166.2020.1714774

Johansen, B., & Euchner, J. (2013). Navigating the VUCA world. Research-Technology Management, 56(1), 10-15.

https://doi.org/10.5437/08956308X5601003

Kache, F., & Seuring, S. (2017). Challenges and opportunities of digital information at the intersection of big data analytics and supply chain management. International Journal of Operations & Production Management, 37(1), 10-36.

https://doi.org/10.1108/IJOPM-02-2015-0078

Kamakshi, P. (2014). Survey on big data and related privacy issues. International Journal of Research in Engineering and Technology, 3(12), 68-70. https://doi.org/10.15623/ijret.2014.0312010

Kim, G. H., Trimi, S., & Chung, J. H. (2014). Big-data applications in the government sector. Communications of the ACM, 57(3), 78-85.

https://doi.org/10.1145/2500873

Kim, M. K., & Park, J. H. (2017). Identifying and prioritizing critical factors for promoting the implementation and usage of big data in healthcare. Information Development, 33(3), 257-269. https://doi.org/10.1177/0266666916652671

Kitchin, R. (2014). The real-time city? Big data and smart urbanism. GeoJournal, 79(1), 1-14. https://doi.org/10.1007/s10708-013-9516-8

Korhonen, J. J. (2014). Big data-Big deal for organization design? Journal of Organization Design, 3(1), 31. https://doi.org/10.7146/jod.13261

Kshetri, N. (2014). Big data's impact on privacy, security and consumer welfare. Telecommunications Policy, 38(11), 1134-1145.

https://doi.org/10.1016/j.telpol.2014.10.002

Kubina, M., Varmus, M., & Kubinova, I. (2015). Use of big data for the competitive advantage of the company. Procedia Economics and Finance, 26, 561-565. https://doi.org/10.1016/S2212-5671(15)00955-7

Kumar, A., & Prakash, A. (2014). Role of big data and analytics in smart cities. International Journal of Scientific Research (IJSR), 6(14), 12-23.

Kupwade-Patil, H., & Seshadri, R. (2014). Big data security and privacy issues in healthcare. In Proceedings of the 2014 IEEE International Congress on Big Data (pp. 762-765). IEEE. https://doi.org/10.1109/BigData.Congress.2014.112

Lee, M., Cai, Y., DeFranco, A., & Lee, J. (2020). Exploring influential factors affecting guest satisfaction: Big data and business analytics in consumer-generated reviews. Journal of Hospitality and Tourism Technology, 11(1), 137-153. https://doi.org/10.1108/JHTT-07-2018-0054

Li, J. Y., & Yu, X. Y. (2018). Global market. Global Market, 000(001), 194-195.

Li, J., Tao, F., Cheng, Y., & Zhao, L. (2015). Big data in product lifecycle management. International Journal of Advanced Manufacturing Technology, 81(1-4), 667-684. https://doi.org/10.1007/s00170-015-7151-x

Lindberg, A. (2020). Developing theory through integrating human and machine pattern recognition. Journal of the Association for Information Systems, 21(1), 90-116. https://doi.org/10.17705/1jais.00593

Line, N. D., Dogru, T., El-Manstrly, D., Buoye, A., Malthouse, E., & Kandampully, J. (2020). Control, use and ownership of big data: A reciprocal view of customer big data value in the hospitality and tourism industry. Tourism Management, 80, 104106.

https://doi.org/10.1016/j.tourman.2020.104106

Liu, O., Man, K. L., Chong, W., & Chan, C. O. (2016). Social network analysis using big data. In Proceedings of the International Multiconference of Engineers and Computer Scientists, 2, 6-7.

Liu, Y., He, J., Guo, M., Yang, Q., & Zhang, X. (2014). An overview of big data industry in China. China Communications, 11(12), 1-10.

https://doi.org/10.1109/CC.2014.7019834

Madsbjerg, C., & Rasmussen, M. B. (2014). The power of thick data. Wall Street Journal.

Maglio, P. P., & Lim, C.-H. (2016). Innovation and big data in smart service systems. Journal of Innovation Management, 4(1), 11-21.

https://doi.org/10.24840/2183-0606_004.001_0003

Mahrt, M., & Scharkow, M. (2013). The value of big data in digital media research. Journal of Broadcasting and Electronic Media, 57(1), 20-33. https://doi.org/10.1080/08838151.2012.761700

Mannik, L., & McGarry, K. (2017). Practising ethnography. University of Toronto Press.

Markus, M. L., & Topi, H. (2015). Big data, big decisions for science, society, and business: Report on a research agenda setting workshop. Bentley University, Waltham, Massachusetts.

Mathew, P. S., & Pillai, A. S. (2015). Big data solutions in healthcare: Problems and perspectives. Paper presented at the 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, India.

https://doi.org/10.1109/ICIIECS.2015.7193211

Matthias, O., Fouweather, I., Gregory, I., & Vernon, A. (2017). Making sense of big data-Can it transform operations management? International Journal of Operations & Production Management, 37(1), 37-55. https://doi.org/10.1108/IJOPM-02-2015-0084

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

Mikalef, P., Pappas, I. O., Giannakos, M. N., Krogstie, J., & Lekakos, G. (2016). Big data and strategy: A research framework. In MCIS 2016 Proceedings (p. 50).

Morioka, M., Kuramochi, K., Mishina, Y., Akiyama, T., & Taniguchi, N. (2015). City management platform using big data from people and traffic flows. Hitachi Review, 64(1), 53.

Mumthas, P. S., Roji, T., Nazar, N., & Scaria, R. (2022). Analysis of big data in social media marketing's application. International Journal of Engineering Technology and Management Sciences, 6(5), 625-631. https://doi.org/10.46647/ijetms.2022.v06i05.099

Nguyen, T., Zhou, L., Spiegler, V., Ieromonachou, P., & Lin, Y. (2018). Big data analytics in supply chain management: A state-of-the-art literature review. Computers & Operations Research, 98, 254-264. https://doi.org/10.1016/j.cor.2017.07.004

Ni, M. (2021). Analysis of big data in social media marketing's application. In Proceedings of the 2021 International Conference on Social Development and Media Communication: Advances in Social Science, Education and Humanities Research (Vol. 631, pp. 1199-1203).

https://doi.org/10.2991/assehr.k.220105.221

Nunan, D., & Di Domenico, M. (2013). Market research and the ethics of big data. International Journal of Market Research, 55(4), 505-520. https://doi.org/10.2501/IJMR-2013-015

Olshannikova, E., Olsson, T., Huhtamäki, J., & Kärkkäinen, H. (2017). Conceptualizing big social data. Journal of Big Data, 4(3), 1-19. https://doi.org/10.1186/s40537-017-0063-x

Onete, C. B., Vargas, V. M., & Chita, S. D. (2020). Study on the implications of personal data exposure on the social media platforms. Transformations in Business and Economics, 19(2), 243-258.

Orenga-Roglá, S., & Chalmeta, R. (2016). Social customer relationship management: Taking advantage of Web 2.0 and big data technologies. SpringerPlus, 5(1), 1462. https://doi.org/10.1186/s40064-016-3128-y

Page, M. J., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Systematic Reviews, 10(89). https://doi.org/10.1186/s13643-021-01626-4

Perera, C., Ranjan, R., Wang, L., Khan, S., & Zomaya, A. (2015). Privacy of big data in the Internet of Things era. IEEE IT Professional Magazine, 17, 32-39. https://doi.org/10.1109/MITP.2015.34

Poleto, T., de Carvalho, V. D. H., & Costa, A. P. C. S. (2015). The roles of big data in the decision-support process: An empirical investigation. In B. Delibašić, J. E. Hernández, J. Papathanasiou, F. Dargam, P. Zaraté, R. Ribeiro, S. Liu, & I. Linden (Eds.), Decision support systems V - Big data analytics for decision making, ICDSST 2015: Lecture notes in business information processing (pp. 10-21). Springer.

Popovic, A., Hackney, R., Tassabehji, R., & Castelli, M. (2018). The impact of big data analytics on firms' high-value business performance. Information Systems Frontiers, 20(2), 209-222. https://doi.org/10.1007/s10796-016-9720-4

Power, D. J., & Phillips-Wren, G. (2011). Impact of social media and Web 2.0 on decision-making. Journal of Decision Systems, 20(3), 249-261. https://doi.org/10.3166/jds.20.249-261

Provost, F., & Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision-making. Big Data, 1(1), 51-59.

https://doi.org/10.1089/big.2013.1508

Rahman, N., & Aldhaban, F. (2015). Assessing the effectiveness of big data initiatives. Paper presented at the 2015 Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, USA. https://doi.org/10.1109/PICMET.2015.7273189

Rahman, N., & Iverson, S. (2015). Big data business intelligence in bank risk analysis. International Journal of Business Intelligence Research, 6(2), 55-77. https://doi.org/10.4018/IJBIR.2015070104

Rajpurohit, A. (2013). Big data for business managers-Bridging the gap between potential and value. Paper presented at the 2013 IEEE International Conference on Big Data, Silicon Valley, CA, USA. https://doi.org/10.1109/BigData.2013.6691794

Revfine. (2020). 5 ways big data can benefit the travel industry. https://www.revfine.com/big-data-travel-industry/

Ridley, E. R. (2014). Big data and risk assessment. In Big Data (pp. 106-117). https://doi.org/10.1201/b17406-13

Roski, J., Bo-Linn, G. W., & Andrews, T. A. (2014). Creating value in health care through big data: Opportunities and policy implications. Health Affairs, 33(7), 1115-1122. https://doi.org/10.1377/hlthaff.2014.0147

Rossi, R., & Hirama, K. (2015). Characterizing big data management: Issues. Informing Science and Information Technology, 12, 165-180.

https://doi.org/10.28945/2204

Russom, P. (2013). Managing big data. TDWI Research. http://epictechpage.com/sms/sas/wpcontent/uploads/2014/07/managing-big-data.pdf

Saggi, M. K., & Jain, S. (2018). A survey towards an integration of big data analytics to big insights for value-creation. Information Processing and Management, 54(5), 758-790. https://doi.org/10.1016/j.ipm.2018.01.010

Sagiroglu, S., & Sinanc, D. (2013). Big data: A review. In 2013 International Conference on Collaboration Technologies and Systems (CTS) (pp. 42-47). IEEE. https://doi.org/10.1109/CTS.2013.6567202

Samuel, S. J., Rvp, K., Sashidhar, K., & Bharathi, C. R. (2015). A survey on big data and its research challenges. ARPN Journal of Engineering and Applied Sciences, 10(8), 3343-3347.

Schroeder, R. (2016). Big data business models: Challenges and opportunities. Cogent Social Sciences, 2(1), 1166924.

https://doi.org/10.1080/23311886.2016.1166924

Sen, D., Ozturk, M., & Vayvay, O. (2016). An overview of big data for growth in SMEs. Procedia - Social and Behavioral Sciences, 235, 159-167. https://doi.org/10.1016/j.sbspro.2016.11.011

Shim, J. P., French, A. M., Guo, C., & Jablonski, J. (2015). Big data and analytics: Issues, solutions, and ROI. Communications of the Association for Information Systems, 37, 797-810. https://doi.org/10.17705/1CAIS.03739

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333-339. https://doi.org/10.1016/j.jbusres.2019.07.039

Statista. (2023). Number of internet and social media users worldwide as of January 2023. https://www.statista.com/statistics/617136/digital-population-worldwide/

Sun, N., Morris, J. G., Xu, J., Zhu, X., & Xie, M. (2014). iCARE: A framework for big data-based banking customer analytics. IBM Journal of Research and Development, 58(5/6), 4:1-4:9. https://doi.org/10.1147/JRD.2014.2337118

Toshniwal, R., Dastidar, K. G., & Nath, A. (2015). Big data security issues and challenges. International Journal of Innovative Research in Advanced Engineering, 2(2), 6.

Uman, L. S. (2011). Systematic reviews and meta-analyses. Clinical Research Methods for Surgeons, February, 311-325. https://doi.org/10.1007/978-1-59745-230-4_18

Upadhyay, P., & Kumar, A. (2020). The intermediating role of organizational culture and internal analytical knowledge between the capability of big data analytics and a firm's performance. International Journal of Information Management, 52, 102100.

https://doi.org/10.1016/j.ijinfomgt.2020.102100

Verma, J. P., Agrawal, S., Patel, B., & Patel, A. (2016). Big data analytics: Challenges and applications for text, audio, video, and social media data. International Journal on Soft Computing, Artificial Intelligence and Applications, 5(1), 41-51.

https://doi.org/10.5121/ijscai.2016.5105

Vilajosana, I., Llosa, J., Martinez, B., Domingo-Prieto, M., Angles, A., & Vilajosana, X. (2013). Bootstrapping smart cities through a self-sustainable model based on big data flows. IEEE Communications Magazine, 51(6), 128-134.

https://doi.org/10.1109/MCOM.2013.6525605

Wachter, S., & Mittelstadt, B. (2019). A right to reasonable inferences: Rethinking data protection law in the age of big data and AI. Columbia Business Law Review, 2019(2), 494-620. https://doi.org/10.31228/osf.io/mu2kf

Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365. https://doi.org/10.1016/j.jbusres.2016.08.009

Wang, G., Gunasekaran, A., Ngai, E. W. T., & Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International Journal of Production Economics, 176, 98-110.

https://doi.org/10.1016/j.ijpe.2016.03.014

Wang, L., & Wang, G. (2016). Big data in cyber-physical systems, digital manufacturing and industry 4.0. International Journal of Engineering and Manufacturing, 6(4), 1-8. https://doi.org/10.5815/ijem.2016.04.01

Wang, Y., & Hajli, N. (2017). Exploring the path to big data analytics success in healthcare. Journal of Business Research, 70, 287-299.

https://doi.org/10.1016/j.jbusres.2016.08.002

Wang, Y., Kung, L., & Byrd, T. A. (2018a). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, 3-13. https://doi.org/10.1016/j.techfore.2015.12.019

Wang, Y., Kung, L., Ting, C., & Byrd, T. A. (2015). Beyond a technical perspective: Understanding big data capabilities in health care. Paper presented at the 2015 48th Hawaii International Conference on System Sciences, Kauai, HI, USA. https://doi.org/10.1109/HICSS.2015.368

Wang, Y., Kung, L., Wang, W. Y. C., & Cegielski, C. G. (2018b). An integrated big data analytics-enabled transformation model: Application to health care. Information & Management, 55(1), 64-79. https://doi.org/10.1016/j.im.2017.04.001

Weng, W. H., & Lin, W. T. (2014). Development trends and strategy planning in big data industry. Contemporary Management Research, 10(3), 203-214. https://doi.org/10.7903/cmr.12288

Wielki, J. (2013). Implementation of the big data concept in organizations-possibilities, impediments and challenges. Paper presented at the 2013 Federated Conference on Computer Science and Information Systems, Krakow, Poland.

Wu, S., Chen, T., Wu, Y., & Lytras, M. (2018). Smart cities in Taiwan: A perspective on big data applications. Sustainability, 10(2), 106.

https://doi.org/10.3390/su10010106

Xiang, Z., Schwartz, Z., Gerdes, J. H., & Uysal, M. (2015). What can big data and text analytics tell us about hotel guest experience and satisfaction? International Journal of Hospitality Management, 44, 120-130. https://doi.org/10.1016/j.ijhm.2014.10.013

Yasmin, M., Tatoglu, E., Kilic, H. S., Zaim, S., & Delen, D. (2020). Big data analytics capabilities and firm performance: An integrated MCDM approach. Journal of Business Research, 114, 1-15. https://doi.org/10.1016/j.jbusres.2020.03.028

Ylijoki, O., & Porras, J. (2016). Conceptualizing big data: Analysis of case studies. Intelligent Systems in Accounting, Finance and Management, 23(4), 295-310. https://doi.org/10.1002/isaf.1393

Yuen, Y. A. (2019). Integrating big data and thick data to transform public services delivery. The Business of Government: IBM Center for The Business of Government. Inverse Innovation.

Zachlod, C., Samuel, O., Ochsner, A., & Werthmuller, S. (2022). Analytics of social media data - State of characteristics and application. Journal of Business Research, 144, 1064-1076. https://doi.org/10.1016/j.jbusres.2022.02.016

Zhang, L. S. (2020). Calming employee public opinion monitoring and analysis in the era of big data-Centering on the construction and application of network big data monitoring and analysis system. New Vision, 000(003), 94-100.

Zhao, X., Yeung, K., Huang, Q., & Song, X. (2015). Improving the predictability of business failure of supply chain finance clients by using external big dataset. Industrial Management and Data Systems, 115(9), 1683-1703.

https://doi.org/10.1108/IMDS-04-2015-0161

Zheng, K., Yang, Z., Zhang, K., Chatzimisios, P., Yang, K., & Xiang, W. (2016). Big data-driven optimization for mobile networks toward 5G. IEEE Network, 30(1), 44-51. https://doi.org/10.1109/MNET.2016.7389830

Zheng, Z., Zhu, J., & Lyu, M. R. (2013). Service-generated big data and big data-as-a-service: An overview. Paper presented at the 2013 IEEE International Congress on Big Data, Santa Clara, CA, USA. https://doi.org/10.1109/BigData.Congress.2013.60

Zhong, R. Y., Huang, G. Q., Lan, S., Dai, Q. Y., Chen, X., & Zhang, T. (2015). A big data approach for logistics trajectory discovery from RFID-enabled production data. International Journal of Production Economics, 165, 260-272. https://doi.org/10.1016/j.ijpe.2015.02.014

Zhong, R. Y., Newman, S. T., Huang, G. Q., & Lan, S. (2016). Big data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives. Computers and Industrial Engineering, 101, 572-591.

https://doi.org/10.1016/j.cie.2016.07.013

Zhou, Z. H., Chawla, N. V., Jin, Y., & Williams, G. J. (2014). Big data opportunities and challenges: Discussions from data analytics perspectives [discussion forum]. IEEE Computational Intelligence Magazine, 9(4), 62-74. https://doi.org/10.1109/MCI.2014.2350953

Downloads

Published

2026-02-26

How to Cite

Malik, B., Yeboah, A. N., & Gakpe, B. (2026). Relevance of big and thick social media data to businesses: A systematic review. African Quarterly Social Science Review, 3(1), 263-275. https://doi.org/10.51867/AQSSR.3.1.23

Similar Articles

1-10 of 220

You may also start an advanced similarity search for this article.