The Impact of Various Organizational Capabilities on ‎TourismFirm Performance: The Mediating Role of Big ‎Data Analytics Capability

  • Authors

    • Dr. Waleed Akhtar M Sultan Graduate School of Management, Post Graduate Centre, Management and Science University (MSU), ‎University Drive, off Persiaran Olahraga, Section 13, 40100, Selangor, Malaysia https://orcid.org/0000-0002-8577-3031
    • Prof. Zunirah Mohd Talib Graduate School of Management, Post Graduate Centre, Management and Science University ‎‎(MSU), University Drive, off Persiaran Olahraga, Section 13, 40100, Selangor
    • Prof. Adam Amril Bin Jaharadak Graduate School of Management, Post Graduate Centre, Management and Science University ‎‎(MSU), University Drive, off Persiaran Olahraga, Section 13, 40100, Selangor
    https://doi.org/10.14419/s06kr428

    Received date: July 14, 2025

    Accepted date: August 16, 2025

    Published date: August 26, 2025

  • Managerial Skills; Technical Skills; Data-Driven Culture; Technology Capabilities; Data-Driven ‎Culture; Firm Performance; Tourism

  • Abstract

    This study investigates the impact of various big data analytics capabilities on firm performance, ‎through big data analytics capability (BDAC) (a combined set of capabilities) in Saudi Arabia’s ‎tourism sector. BDAC is modeled as a second-order construct formed by five capabilities: data-driven culture, technology, technical skills, managerial skills, and data-driven decision-making. The ‎study basically examines the mediating role of BDAC. Data were collected through a structured ‎questionnaire, resulting in 471 valid responses from professionals in tourism firms. Structural ‎Equation Modeling (PLS-SEM) was used to analyze the data. The results show that managerial ‎skills, technical skills, and a data-driven culture significantly improve performance both directly and ‎indirectly through BDAC. However, data and technology capabilities had no significant impact on ‎performance, either directly or through BDAC. These findings highlight the importance of human ‎and cultural elements over technical infrastructure alone. The study contributes to theory by ‎confirming that BDAC is a multidimensional construct and plays a partial mediating role. Practical ‎implications suggest that tourism firms should invest in developing managerial talent and fostering ‎a data-driven culture to maximize performance outcomes‎.

  • References

    1. Abraham, R., Schneider, J., & Vom Brocke, J. (2019). Data governance: A conceptual framework, structured review, and research agenda. Interna-tional Journal of Information Management, 49, 424–438. https://doi.org/10.1016/j.ijinfomgt.2019.07.008.
    2. Ajao, M. G., & Ejokehuma, J. O. (2021). Ownership Structure and Financial Performance of Manufacturing Firms In Sub-Saharan Africa. Facta Universitatis, Series: Economics and Organization, 187. https://doi.org/10.22190/FUEO210319013A.
    3. 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.
    4. AlNuaimi, B. K., Khan, M., & Ajmal, M. M. (2021). The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis. Technological Forecasting and Social Change, 169, 120808. https://doi.org/10.1016/j.techfore.2021.120808.
    5. Authority, S. T. (2022). Home textbar Saudi Tourism Authority. https://www.sta.gov.sa/en/home.
    6. Bag, S., Luthra, S., Mangla, S. K., & Kazancoglu, Y. (2021). Leveraging big data analytics capabilities in making reverse logistics decisions and im-proving remanufacturing performance. The International Journal of Logistics Management, 32(3), 742–765. https://doi.org/10.1108/IJLM-06-2020-0237.
    7. Bhatti, S. H., Ahmed, A., Ferraris, A., Hirwani Wan Hussain, W. M., & Wamba, S. F. (2022). Big data analytics capabilities and MSME innovation and performance: A double mediation model of digital platform and network capabilities. Annals of Operations Research. https://doi.org/10.1007/s10479-022-05002-w.
    8. Bahrawi, S., Abulkhair, M., & Mensi, S. (2021). The Covid-19 Pandemic Impact on the Saudi Arabia Tourism Sector: An Accountancy Approach. 20.
    9. Bamidele, R. (2022). Organizational Culture (pp. 284–292).
    10. Barney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108.
    11. Cooren, F. (2020). Beyond entanglement:(Socio-) materiality and organization studies. Organization Theory, 1(3), https://doi.org/10.1177/2631787720954444.
    12. 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.
    13. epam. (2023). Big Data in Travel and Tourism: Guide for Transforming the Industry. https://anywhere.epam.com/business/big-data-in-tourism-and-travel.
    14. Hirschlein, N., Meckenstock, J.-N., & Dremel, C. (2022). Towards Bridging the Gap Between BDA Challenges and BDA Capability: A Conceptual Synthesis Based on a Systematic Literature Review. Hawaii International Conference on System Sciences 2022 (HICSS-55). https://aisel.aisnet.org/hicss-55/os/org_issues_in_bi/9. https://doi.org/10.24251/HICSS.2022.748.
    15. Jaouadi, M. H. O. (2022). Investigating the influence of big data analytics capabilities and human resource factors in achieving supply chain innova-tiveness. Computers & Industrial Engineering, 168, 108055. https://doi.org/10.1016/j.cie.2022.108055.
    16. Jum’a, L., Zimon, D., & Madzik, P. (2023). Impact of big data technological and personal capabilities on sustainable performance on Jordanian manu-facturing companies: The mediating role of innovation. Journal of Enterprise Information Management, 37(2), 329–354. https://doi.org/10.1108/JEIM-09-2022-0323.
    17. Korsten, G., Aysolmaz, B., Turetken, O., Edel, D., & Ozkan, B. (2022). ADA-CMM: A Capability Maturity Model for Advanced Data Analytics. http://hdl.handle.net/10125/79362. https://doi.org/10.24251/HICSS.2022.032.
    18. Kitsios, F., Kamariotou, M., Karanikolas, P., & Grigoroudis, E. (2021). Digital Marketing Platforms and Customer Satisfaction: Identifying eWOM Using Big Data and Text Mining. Applied Sciences, 11(17), 8032. https://doi.org/10.3390/app11178032.
    19. Lee, S.-M. (2020). Impact of Big Data Analytics Capability and Strategic Alliances on Financial Performance. In L. C. Jain, S.-L. Peng, & S.-J. Wang (Eds.), Security with Intelligent Computing and Big-Data Services 2019 (pp. 49–63). Springer International Publishing. https://doi.org/10.1007/978-3-030-46828-6_6.
    20. Lin, J., Wu, S., & Luo, X. (Robert). (2025). How does big data analytics capability affect firm performance? Unveiling the role of organisational resil-ience and environmental dynamism. European Journal of Information Systems, 34(3), 502–528. https://doi.org/10.1080/0960085X.2024.2375262.
    21. McAfee, A., & Brynjolfsson, E. (2012). Big Data: The Management Revolution. Harvard Business Review. https://hbr.org/2012/10/big-data-the-management-revolution.
    22. Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019). Big data analytics and firm performance: Findings from a mixed-method approach. Jour-nal of Business Research, 98, 261–276. https://doi.org/10.1016/j.jbusres.2019.01.044.
    23. Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive perfor-mance: The mediating roles of dynamic and operational capabilities. Information & Management, 57(2), 103169. https://doi.org/10.1016/j.im.2019.05.004.
    24. Popovič, A., Hackney, R., Tassabehji, R., & Castelli, M. (2018). The impact of big data analytics on firms’ high value business performance. Infor-mation Systems Frontiers, 20(2), 209–222. https://doi.org/10.1007/s10796-016-9720-4.
    25. Saudi Tourism Authority. (2022). Saudi Tourism Authority. https://www.sta.gov.sa/en/home.
    26. Shaqrah, A., & Alzighaibi, A. (2023). Linking knowledge management capabilities and the mediating role of the big data capabilities for enterprise value-adding processes. VINE Journal of Information and Knowledge Management Systems, 53(1), 64–79. https://doi.org/10.1108/VJIKMS-05-2020-0087.
    27. Sindarov, A., Vafaei-Zadeh, A., Syafrizal, S., & Chanda, R. C. (2023). Big data analytical capability and firm performance: Moderating effect of ana-lytics capability business strategy alignment. International Journal of Applied Decision Sciences, 16(6), 663–685. https://doi.org/10.1504/IJADS.2023.134188.
    28. Sousa, M. J., Pesqueira, A. M., Lemos, C., Sousa, M., & Rocha, Á. (2019). Decision-Making based on Big Data Analytics for People Management in Healthcare Organizations. Journal of Medical Systems, 43(9), 290. https://doi.org/10.1007/s10916-019-1419-x.
    29. Straub, D., & Gefen, D. (2004). Validation Guidelines for IS Positivist Research. Communications of the Association for Information Systems, 13. https://doi.org/10.17705/1CAIS.01324.
    30. Statista. (2023). Travel & Tourism—Saudi Arabia. https://www.statista.com/outlook/mmo/travel-tourism/saudi-arabia.
    31. Su, X., Zeng, W., Zheng, M., Jiang, X., Lin, W., & Xu, A. (2022). Big data analytics capabilities and organizational performance: The mediating ef-fect of dual innovations. European Journal of Innovation Management, 25(4), 1142–1160. https://doi.org/10.1108/EJIM-10-2020-0431.
    32. Surbakti, F. P. S., Wang, W., Indulska, M., & Sadiq, S. (2020). Factors influencing effective use of big data: A research framework. Information & Management, 57(1), 103146. https://doi.org/10.1016/j.im.2019.02.001.
    33. Orero-Blat, M., Palacios-Marqués, D., Leal-Rodríguez, A. L., & Ferraris, A. (2024). Beyond digital transformation: A multi-mixed methods study on big data analytics capabilities and innovation in enhancing organizational performance. Review of Managerial Science, 19(2), Article 2. https://doi.org/10.1007/s11846-024-00768-8.
    34. Teece, D. J. (2014). The Foundations of Enterprise Performance: Dynamic and Ordinary Capabilities in an (Economic) Theory of Firms. Academy of Management Perspectives, 28(4), 328–352. https://doi.org/10.5465/amp.2013.0116.
    35. Theodorakopoulos, L., Theodoropoulou, A., & Bakalis, A. (2025). Utilizing Big Data for Improved Targeting and Personalization for Digital Mar-keting Purposes in the Tourism Industry: A Comprehensive Review. https://doi.org/10.1007/978-3-031-78471-2_17.
    36. Tourism Economics. (2021). Driving the Tourism Recovery in Saudi Arabia. Tourism Economics. https://s3.amazonaws.com/tourism-economics/craft/Google_Saudi_Arabia_Final_Small.pdf.
    37. Vision 2030. (2025). 2030: Strategic objectives and vision realization programs.
    38. Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Tech-nological Forecasting and Social Change, 126, 3–13. https://doi.org/10.1016/j.techfore.2015.12.019.
    39. Wernerfelt, B. (1984). A resource‐based view of the firm. Strategic Management Journal, 5(2), 171–180. https://doi.org/10.1002/smj.4250050207.
    40. Wided, R. (2023). IT Capabilities, Strategic Flexibility and Organizational Resilience in SMEs post-COVID-19: A Mediating and Moderating Role of Big Data Analytics Capabilities. Global Journal of Flexible Systems Management, 24(1), 123–142. https://doi.org/10.1007/s40171-022-00327-8.
    41. WTTC. (2021). Global Economic Impact and Trends 2021. WTTC.
    42. Wu, D., & Zhang, Y. (2021). Impact of Big Data Analytic Capability on Firm Performance: The Moderating Effect of IT-Strategic Alignment. 2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA), 115–119. https://doi.org/10.1109/ICDSBA53075.2021.00033.
    43. Yahoo Finanace. (2023, October 24). Tourism Industry Big Data Analytics Reshape the Future of Travel with an Estimated Market Revenue of US$ 486.6 Billion by 2033 | Future Market Insights, Inc. Yahoo Finance. https://finance.yahoo.com/news/tourism-industry-big-data-analytics-141000038.html.
    44. Yasmin, M., Tatoglu, E., Kilic, H. S., Zaim, S., & Delen, D. (2020). Big data analytics capabilities and firm performance: An integrated MCDM ap-proach. Journal of Business Research, 114, 1–15. https://doi.org/10.1016/j.jbusres.2020.03.028.
    45. Yeoman, I. (2019). Big Data. Journal of Revenue and Pricing Management, 18(1), 1–1. https://doi.org/10.1057/s41272-019-00191-9.

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  • How to Cite

    Sultan, D. W. A. M. ., Talib , P. Z. M. ., & Jaharadak, P. A. A. B. . (2025). The Impact of Various Organizational Capabilities on ‎TourismFirm Performance: The Mediating Role of Big ‎Data Analytics Capability. International Journal of Basic and Applied Sciences, 14(4), 666-674. https://doi.org/10.14419/s06kr428